Abstract

Background

There is conflicting evidence regarding the impact of chronic hepatitis B virus (HBV) on SARS-CoV-2 outcomes. Additionally, the impact of SARS-CoV-2 vaccination and variant periods on outcomes in HBV/SARS-CoV-2 coinfection remain unexplored.

Methods

We utilized the TriNetX database to compare adults with HBV/SARS-CoV-2 (vs SARS-CoV-2 alone) across 97 US healthcare systems from 2020 to 2023. We assessed the odds of all inpatient hospitalizations, intensive care unit admissions, mechanical ventilation, 30-day, 90-day, and overall mortality. In sensitivity analyses, we excluded HIV, hepatitis C virus, and transplant cases and stratified the HBV/SARS-CoV-2 cohort by cirrhosis status. We applied propensity score matching to address confounding and reported odds ratios (OR) with 95% confidence intervals (CI).

Results

Of 4 206 774 individuals with SARS-CoV-2, about 0.2% (8293) were HBV/SARS-CoV-2. Individuals with HBV/SARS-CoV-2 (vs SARS-CoV-2 alone) had higher odds of intensive care unit admissions (OR, 1.18; 95% CI, 1.02–1.36), 90-day (OR, 1.22; 95% CI, 1.01–1.41) and overall mortality (OR, 1.18; 95% CI, 1.06–1.33). In sensitivity analyses, those with HBV/SARS-CoV-2 and cirrhosis had a 2.0- to 2.50-fold higher odds of adverse outcomes. Notably, even individuals with HBV/SARS-CoV-2 without cirrhosis had higher odds of mortality. Vaccinated (vs unvaccinated) individuals with HBV/SARS-CoV-2 had 57%, 54%, and 29% reduction in 30-day, 90-day, and overall mortality, respectively. The pre-Delta variant period was associated with higher odds of hospitalization compared to the Omicron but not the Delta period.

Conclusions

Chronic HBV was associated with worse SARS-CoV-2 outcomes, whereas SARS-CoV-2 vaccination reduced the likelihood of adverse outcomes.

The convergence of 2 viral pandemics (ie, hepatitis B virus [HBV] and SARS-CoV-2), has presented complex clinical implications for dually infected individuals. HBV infects the liver and is a major global health concern, accounting for 296 million chronic cases and 820 000 million deaths in 2021, mostly from liver cirrhosis and hepatocellular carcinoma [1]. SARS-CoV-2, responsible for the ongoing COVID-19 pandemic, has led to >770 million cases and nearly 7 million attributable deaths [2]. SARS-CoV-2 primarily targets the lungs but also displays tropism toward the liver and multiple organ systems because of the ubiquitous expression of its obligate cellular receptor, angiotensin-converting enzyme 2 (ACE2) [3].

Emerging evidence suggests that individuals with preexisting chronic liver disease, especially cirrhosis, may face adverse outcomes after SARS-CoV-2 infection [4–7]. These initial studies have focused on chronic liver diseases from heterogeneous etiologies (eg, hepatic steatosis, alcoholic liver disease) [4–7]. However, recent research has specifically highlighted the risks for individuals with chronic HBV infection. In a 2022 systematic review and meta-analysis, Yu et al [8] reported a 2-fold higher odds of in-hospital mortality and a 1.90-fold higher odds of severe SARS-CoV-2 in individuals with chronic HBV infection. An updated meta-analysis in 2023 by Guo et al [9] confirmed these findings, observing a 1.65-fold higher odds of mortality and a 1.90-fold increased odds of severe SARS-CoV-2 in individuals with coexisting HBV infection. The pathophysiologic mechanisms associated with adverse SARS-CoV-2 outcomes in individuals with preexisting HBV infection remain unclear. Proposed pathways include the direct cytopathic effects of SARS-CoV-2 on the liver [10], SARS-CoV-2–induced immune activation leading to the “cytokine storm” [11], drug-induced hepatic injury [12], and HBV reactivation [13]. The study by Guo et al [9] further suggested differences in SARS-CoV-2 outcomes based on geographic setting; however, their analysis included studies from only 3 countries, each of moderate HBV endemicity—China, South Korea, and Turkey, with 13 of 18 the studies conducted in China.

There may be HBV-specific pathways distinct from chronic liver diseases or cirrhosis that may contribute to adverse outcomes following SARS-CoV-2 infection; however, this remains unexplored. For instance, HBV can induce hepatocellular carcinoma through direct oncogenic pathways, independent of liver cirrhosis or decompensated liver disease [14]. Additionally, HBV infection is often complicated by co-infections such as HIV and hepatitis C virus (HCV) because of shared risk factors [15, 16]. These co-infections are known to significantly influence the natural history, disease progression, and clinical outcomes of HBV infection [15, 16], raising questions about how they might alter the dynamics between HBV and SARS-CoV-2. Other unresolved questions include the effectiveness of SARS-CoV-2 vaccination and the potential impact of SARS-CoV-2 variant type on clinical outcomes in individuals with pre-existing chronic HBV infection. To address these knowledge gaps, there is a need for comprehensive, large-scale studies from diverse regions to explore the nature of the interactions between HBV and SARS-CoV-2.

In this multicenter retrospective cohort study in the United States, our primary objective was to assess the clinical features and outcomes of SARS-CoV-2 infection among individuals with chronic HBV in a setting of low HBV endemicity. Our secondary objectives were to determine whether there are HBV-specific associations between chronic HBV infection and SARS-CoV-2 outcomes, excluding the impact of coinfections, immunocompromising conditions and advanced liver disease (ie, HIV, HCV, organ transplants, and cirrhosis). Additionally, we aimed to examine the associations between SARS-CoV-2 variants, SARS-CoV-2 vaccination, and clinical outcomes in individuals with concurrent SARS-CoV-2 and chronic HBV infection.

METHODS

Data Source

We conducted a multicenter retrospective cohort study of adults aged ≥18 years with preexisting chronic HBV using TriNetX, a global federated health research network. We sourced data from 97 healthcare organizations (HCOs) across the United States during the period from 1 January 2020 to 15 August 2023 (the last date of TriNetX access). The TriNetX research network provides access to continuously aggregated and deidentified electronic health record data, including diagnoses, procedures, medications, and laboratory values. To preserve patient privacy and confidentiality, TriNetX excludes geographical and institutional specifics of participating HCOs. However, a typical participating HCO generally comprises a prominent academic health center supplemented by main and satellite hospitals, specialized care services, and outpatient clinics.

Cohort Selection, Study Definitions, and Outcomes

We included all adults (≥18 years) in the TriNetX database with confirmed SARS-CoV-2, positive SARS-CoV-2–related RNA test, or positive Rapid Antigen test (International Classification of Diseases 10th Revision [ICD-10] codes: U07.1, U07.2, or J12.82). We identified individuals with SARS-CoV-2 with a diagnosis of chronic HBV (ICD-10: B18.0 or B18.1). We further stratified cases into 2 primary cohorts: those with chronic HBV (ie, HBV/SARS-CoV-2) and those without chronic HBV (ie, SARS-CoV-2 alone). For both cohorts, we collected data on patient demographics (age, sex, race, and ethnicity), comorbid conditions as defined by ICD-10 codes (ie, overweight/obesity, cardiovascular diseases, diabetes, chronic kidney diseases, chronic obstructive lung diseases, neoplasms, transplanted organs, HIV, HCV), nicotine dependence, alcohol-related disorders, SARS-CoV-2 vaccination status (receipt of at least 1 dose of vaccine), and SARS-CoV-2 treatment history (ie, dexamethasone, methylprednisolone, remdesivir, and nirmatrelvir-ritonavir).

Furthermore, we collected baseline laboratory parameters (within 30 days after index SARS-CoV-2 diagnosis). These included complete blood count (leukocytes, hemoglobin, platelet counts), renal function (creatinine, glomerular filtration rate), coagulation parameters (prothrombin time, international normalized ratio, activated partial thromboplastin time, D-dimer), hepatic function markers (alkaline phosphatase, aspartate transaminase, alanine aminotransferase, γ-glutamyl transferase), total and direct bilirubin, lipid profiles (total cholesterol, high-density lipoprotein, low-density lipoprotein, triglycerides), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), interleukin-6 (IL-6), lactate, troponin, B-type natriuretic peptide, lactate dehydrogenase, HBV DNA, HCV RNA, and HIV RNA levels.

Our primary outcomes of interest were the odds of all inpatient hospitalization intensive care unit (ICU) admission, mechanical ventilation, and all-cause early (30-day), late (90-day), and overall mortality, defined as mortality during the entire follow-up period and not restricted to 30 or 90 days following the index SARS-CoV-2 diagnosis. In the primary analysis, we compared these outcomes in all eligible cases of HBV/SARS-CoV-2 versus cases of SARS-CoV-2 without HBV.

To evaluate the differential impact of chronic HBV on SARS-CoV-2 outcomes, we performed 3 sensitivity analyses, specifically addressing potential confounding from HIV, HCV, and organ transplants because these factors are known to influence the natural history and progression of HBV. The sensitivity analyses were as follows: (1) cases of HBV/SARS-CoV-2 compared with SARS-CoV-2 alone, but excluding HIV, HCV, and organ transplants from both cohorts; (2) cases of HBV/SARS-CoV-2 with cirrhosis compared with SARS-CoV-2 alone but excluding HIV, HCV, and organ transplants from both cohorts; and (3) cases of HBV/SARS-CoV-2 without cirrhosis compared with SARS-CoV-2 alone excluding HIV, HCV, and organ transplants from both cohorts.

In subgroup analyses of individuals with HBV/SARS-CoV-2, we further assessed the effect of SARS-CoV-2 vaccination (defined as receipt of 1 or more doses of any SARS-CoV-2 vaccine) and the impact of SARS-CoV-2 variants on outcomes. Because TriNetX does not provide information on SARS-CoV-2 variants, we used SARS-CoV-2 variant dominance periods for the United States, as reported by the United States Center for Disease Control and Prevention (CDC) [23]: (1) 1 January 2020 to 30 June 2021 for pre-Delta (ie, Alpha, Beta, Gamma) variant dominance; (2) 1 July 2021 to 30 November 2021 for Delta variant dominance; and (3) 1 December 2021 to 15 August 2023 for Omicron variant dominance. We have provided details of the ICD-10 and other codes used for querying the TriNetX database in the Supplementary File.

Statistical Analyses

We performed all statistical analyses in the online TriNetX Advanced Analytics platform. We reported continuous variables with mean ± standard deviation and categorical variables as frequencies and percentages. We addressed potential confounding using 1:1 greedy nearest-neighbor propensity score matching of cohorts by the following variables: age at SARS-CoV-2 diagnosis, sex, race, ethnicity, comorbidities (ie, overweight/obesity, diseases of liver, ischemic heart diseases, hypertensive diseases, heart failure, heart failure, diabetes, chronic lung diseases, chronic kidney diseases, neoplasms, organ transplants, HIV, and HCV), nicotine dependence, alcohol-related disorders, SARS-CoV-2 vaccination, and SARS-CoV-2 treatments (ie, dexamethasone, methylprednisolone, remdesivir, nirmatrelvir-ritonavir). We compared continuous variables using independent t-tests and categorical variables with chi-square tests. For outcomes of interest, we reported odds ratios (ORs) and their corresponding 95% confidence intervals (CIs), with statistical significance set at P < .05.

Participant Consent Statement

We obtained ethical approval from the institutional review board at Case Western Reserve University/University Hospitals Cleveland Medical Center, which granted a waiver. Additionally, TriNetX obtained a waiver from WCG IRB Connexus. Written informed consent was not necessary, as the TriNetX system protects patient information by only providing deidentified and aggregated data.

RESULTS

Baseline Characteristics

Of the 4 206 774 individuals with confirmed SARS-CoV-2 in the primary analysis, about 0.2% (8293) had preexisting chronic HBV (ie, HBV/SARS-CoV-2) (Table 1). Compared with those with SARS-CoV-2 only, individuals with HBV/SARS-CoV-2 were significantly more likely to be older, male, White, and have a higher burden of liver cirrhosis (18.0% vs 0.8%), chronic liver diseases (46.5% vs 6.2%), ischemic heart diseases (21.1% vs 9.0%), hypertensive diseases (52.9% vs 27.8%), heart failure (12.5% vs 4.8%), cerebrovascular diseases (12.8% vs 5.3%), diabetes (30.5% vs 12.6%), chronic lower respiratory diseases (26.8% vs 17.1%), chronic kidney diseases (23.3% vs 6.2%), smoking (15.7% vs 8.6%), alcohol-related disorders (8.4% vs 2.7%), and neoplasms (51.1% vs 21.1%). Furthermore, individuals with HBV/SARS-CoV-2 (vs SARS-CoV-2 alone) were more likely to have a history of HIV (6.8% vs 0.4%), HCV (13.6% vs 0.6%), and transplanted organs (10.1% vs 1.0%). Additionally, individuals with HBV/SARS-CoV-2 (vs SARS-CoV-2 alone) were more likely to receive COVID-19 treatments like dexamethasone (35.6% vs 18.5%), methylprednisolone (27.6% vs 17.5%), remdesivir (2.1% vs 0.1%), and nirmatrelvir-ritonavir (1.8% vs 0.6%). Disparities between cohorts were mostly eliminated with propensity score matching; however, the burden of liver cirrhosis (18.0% vs 13.8%) and HCV (13.6% vs 11.7%) remained higher in the HBV/SARS-CoV-2 cohort compared with SARS-CoV-2 alone (all P < .001).

Table 1.

Comparison of Baseline Characteristics Before and After Propensity Score Matching

VariablesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2P-ValueHBV/SARS-CoV-2SARS-CoV-2P-Value
Totaln = 8293n = 4 198 481n = 8293n = 8293
Age at index (years)a56.5 ± 14.248.4 ± 19.4<.00156.5 ± 14.156.6 ± 15.1.643
Gender
Male4580 (55.2%)1 734 284 (41.3%)<.0014580 (55.2%)4590 (55.3%).815
Female3648 (44.0%)2 351 777 (56.0%)<.0013670 (44.0%)3687 (44.2%).791
Body mass index (kg/m2)a27.0 ± 6.329.9 ± 7.6<.00127.0 ± 6.329.3 ± 7.1<.001
Race or ethnicity
White1852 (22.3%)2 507 530 (59.7%)<.0011852 (22.3%)1807 (21.8%).399
Asian2706 (32.6%)156 415 (3.7%)<.0012706 (32.6%)2765 (33.3%).330
Unknown race1722 (20.6%)631 256 (15.3%)<.0011722 (20.7%)1737 (20.8%).774
Black or African American1542 (18.6%)597 960 (14.2%)<.0011542 (18.6%)1513 (18.2%).561
Hispanic or Latino189 (2.3%)26 302 (0.6%)<.001381 (4.6%)335 (4.0%).079
Native Hawaiian or other Pacific islander381 (4.6%)442 601 (10.5%)<.001189 (2.3%)175 (2.1%).458
Other race331 (4.0%)264 447 (4.0%)<.001330 (4.5%)378 (4.0%).065
Comorbidities
Liver cirrhosis1492 (18.0%)33 624 (0.8%)<.0011492 (18.0%)1143 (13.8%)<.001
Diseases of liver3855 (46.5%)261 197 (6.2%)<.0013855 (46.5%)3950 (47.6%).139
Ischemic heart diseases1750 (21.1%)378 104 (9.0%)<.0011750 (21.1%)1735 (20.9%).775
Hypertensive diseases4391 (52.9%)1 166 289 (27.8%)<.0014391 (52.9%)4415 (53.2%).709
Heart failure1037 (12.5%)202 151 (4.8%)<.0011037 (12.5%)1025 (12.4%).778
Diabetes mellitus2530 (30.5%)529 165 (12.6%)<.0012530 (30.5%)2526 (30.5%).946
Overweight or obesity1626 (19.5%)708 223 (17.1%)<.0011624 (19.5%)1922 (23.1%)<.001
Chronic lower respiratory diseases2226 (26.8%)717 382 (17.1%)<.0012226 (26.8%)2233 (26.9%).902
Chronic kidney disease1936 (23.3%)261 866 (6.2%)<.0011936 (23.3%)1882 (22.7%).319
Cerebrovascular diseases1059 (12.8%)224 545 (5.3%)<.0011059 (12.8%)1042 (12.6%).691
Transplanted organ and tissue846 (10.1%)41 966 (1.0%)<.001845 (10.1%)808 (9.7%).338
Neoplasms4259 (51.0%)870 998 (21.1%)<.0014249 (51.0%)4352 (52.2%).110
HIV disease567 (6.8%)15 953 (0.4%)<.001563 (6.8%)514 (6.2%).123
Chronic HCV1130 (13.6%)26 359 (0.6%)<.0011130 (13.6%)973 (11.7%)<.001
Lifestyle risk factors
Nicotine-related disorders1306 (15.7%)361 641 (8.6%)<.0011306 (15.7%)1225 (14.8%).080
Alcohol-related disorders700 (8.4%)114 258 (2.7%)<.001700 (8.4%)639 (7.7%).082
SARS-CoV-2 vaccine1778 (21.4%)453 467 (10.8%)<.0011696 (20.3%)1624 (19.5%).163
SARS-CoV-2 treatments
Dexamethasone2949 (35.6%)775 329 (18.5%)<.0012949 (35.6%)2924 (35.3%).685
Methylprednisolone2290 (27.6%)735 001 (17.5%)<.0012290 (27.6%)2235 (27.0%).338
Remdesivir173 (2.1%)6030 (0.1%)<.001138 (2.0%)117 (1.7%).184
Nirmatrelvir/ritonavir149 (1.8%)24 529 (0.6%)<.001137 (2.0%)138 (2.0%).951
HBV treatments
Entecavir1667 (20.1%)1667 (20.1%)
Tenofovir alafenamide1280 (15.4%)1280 (15.4%)
Tenofovir disoproxil1280 (15.4%)1280 (15.4%)
Emtricitabine617 (7.4%)617 (7.4%)
Lamivudine368 (4.4%)368 (4.4%)
VariablesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2P-ValueHBV/SARS-CoV-2SARS-CoV-2P-Value
Totaln = 8293n = 4 198 481n = 8293n = 8293
Age at index (years)a56.5 ± 14.248.4 ± 19.4<.00156.5 ± 14.156.6 ± 15.1.643
Gender
Male4580 (55.2%)1 734 284 (41.3%)<.0014580 (55.2%)4590 (55.3%).815
Female3648 (44.0%)2 351 777 (56.0%)<.0013670 (44.0%)3687 (44.2%).791
Body mass index (kg/m2)a27.0 ± 6.329.9 ± 7.6<.00127.0 ± 6.329.3 ± 7.1<.001
Race or ethnicity
White1852 (22.3%)2 507 530 (59.7%)<.0011852 (22.3%)1807 (21.8%).399
Asian2706 (32.6%)156 415 (3.7%)<.0012706 (32.6%)2765 (33.3%).330
Unknown race1722 (20.6%)631 256 (15.3%)<.0011722 (20.7%)1737 (20.8%).774
Black or African American1542 (18.6%)597 960 (14.2%)<.0011542 (18.6%)1513 (18.2%).561
Hispanic or Latino189 (2.3%)26 302 (0.6%)<.001381 (4.6%)335 (4.0%).079
Native Hawaiian or other Pacific islander381 (4.6%)442 601 (10.5%)<.001189 (2.3%)175 (2.1%).458
Other race331 (4.0%)264 447 (4.0%)<.001330 (4.5%)378 (4.0%).065
Comorbidities
Liver cirrhosis1492 (18.0%)33 624 (0.8%)<.0011492 (18.0%)1143 (13.8%)<.001
Diseases of liver3855 (46.5%)261 197 (6.2%)<.0013855 (46.5%)3950 (47.6%).139
Ischemic heart diseases1750 (21.1%)378 104 (9.0%)<.0011750 (21.1%)1735 (20.9%).775
Hypertensive diseases4391 (52.9%)1 166 289 (27.8%)<.0014391 (52.9%)4415 (53.2%).709
Heart failure1037 (12.5%)202 151 (4.8%)<.0011037 (12.5%)1025 (12.4%).778
Diabetes mellitus2530 (30.5%)529 165 (12.6%)<.0012530 (30.5%)2526 (30.5%).946
Overweight or obesity1626 (19.5%)708 223 (17.1%)<.0011624 (19.5%)1922 (23.1%)<.001
Chronic lower respiratory diseases2226 (26.8%)717 382 (17.1%)<.0012226 (26.8%)2233 (26.9%).902
Chronic kidney disease1936 (23.3%)261 866 (6.2%)<.0011936 (23.3%)1882 (22.7%).319
Cerebrovascular diseases1059 (12.8%)224 545 (5.3%)<.0011059 (12.8%)1042 (12.6%).691
Transplanted organ and tissue846 (10.1%)41 966 (1.0%)<.001845 (10.1%)808 (9.7%).338
Neoplasms4259 (51.0%)870 998 (21.1%)<.0014249 (51.0%)4352 (52.2%).110
HIV disease567 (6.8%)15 953 (0.4%)<.001563 (6.8%)514 (6.2%).123
Chronic HCV1130 (13.6%)26 359 (0.6%)<.0011130 (13.6%)973 (11.7%)<.001
Lifestyle risk factors
Nicotine-related disorders1306 (15.7%)361 641 (8.6%)<.0011306 (15.7%)1225 (14.8%).080
Alcohol-related disorders700 (8.4%)114 258 (2.7%)<.001700 (8.4%)639 (7.7%).082
SARS-CoV-2 vaccine1778 (21.4%)453 467 (10.8%)<.0011696 (20.3%)1624 (19.5%).163
SARS-CoV-2 treatments
Dexamethasone2949 (35.6%)775 329 (18.5%)<.0012949 (35.6%)2924 (35.3%).685
Methylprednisolone2290 (27.6%)735 001 (17.5%)<.0012290 (27.6%)2235 (27.0%).338
Remdesivir173 (2.1%)6030 (0.1%)<.001138 (2.0%)117 (1.7%).184
Nirmatrelvir/ritonavir149 (1.8%)24 529 (0.6%)<.001137 (2.0%)138 (2.0%).951
HBV treatments
Entecavir1667 (20.1%)1667 (20.1%)
Tenofovir alafenamide1280 (15.4%)1280 (15.4%)
Tenofovir disoproxil1280 (15.4%)1280 (15.4%)
Emtricitabine617 (7.4%)617 (7.4%)
Lamivudine368 (4.4%)368 (4.4%)

HBV/SARS-CoV-2, individuals with HBV and SARS-CoV-2; SARS-CoV-2 only, individuals with SARS-CoV-2 without HBV.

aMean ± standard deviation.

Table 1.

Comparison of Baseline Characteristics Before and After Propensity Score Matching

VariablesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2P-ValueHBV/SARS-CoV-2SARS-CoV-2P-Value
Totaln = 8293n = 4 198 481n = 8293n = 8293
Age at index (years)a56.5 ± 14.248.4 ± 19.4<.00156.5 ± 14.156.6 ± 15.1.643
Gender
Male4580 (55.2%)1 734 284 (41.3%)<.0014580 (55.2%)4590 (55.3%).815
Female3648 (44.0%)2 351 777 (56.0%)<.0013670 (44.0%)3687 (44.2%).791
Body mass index (kg/m2)a27.0 ± 6.329.9 ± 7.6<.00127.0 ± 6.329.3 ± 7.1<.001
Race or ethnicity
White1852 (22.3%)2 507 530 (59.7%)<.0011852 (22.3%)1807 (21.8%).399
Asian2706 (32.6%)156 415 (3.7%)<.0012706 (32.6%)2765 (33.3%).330
Unknown race1722 (20.6%)631 256 (15.3%)<.0011722 (20.7%)1737 (20.8%).774
Black or African American1542 (18.6%)597 960 (14.2%)<.0011542 (18.6%)1513 (18.2%).561
Hispanic or Latino189 (2.3%)26 302 (0.6%)<.001381 (4.6%)335 (4.0%).079
Native Hawaiian or other Pacific islander381 (4.6%)442 601 (10.5%)<.001189 (2.3%)175 (2.1%).458
Other race331 (4.0%)264 447 (4.0%)<.001330 (4.5%)378 (4.0%).065
Comorbidities
Liver cirrhosis1492 (18.0%)33 624 (0.8%)<.0011492 (18.0%)1143 (13.8%)<.001
Diseases of liver3855 (46.5%)261 197 (6.2%)<.0013855 (46.5%)3950 (47.6%).139
Ischemic heart diseases1750 (21.1%)378 104 (9.0%)<.0011750 (21.1%)1735 (20.9%).775
Hypertensive diseases4391 (52.9%)1 166 289 (27.8%)<.0014391 (52.9%)4415 (53.2%).709
Heart failure1037 (12.5%)202 151 (4.8%)<.0011037 (12.5%)1025 (12.4%).778
Diabetes mellitus2530 (30.5%)529 165 (12.6%)<.0012530 (30.5%)2526 (30.5%).946
Overweight or obesity1626 (19.5%)708 223 (17.1%)<.0011624 (19.5%)1922 (23.1%)<.001
Chronic lower respiratory diseases2226 (26.8%)717 382 (17.1%)<.0012226 (26.8%)2233 (26.9%).902
Chronic kidney disease1936 (23.3%)261 866 (6.2%)<.0011936 (23.3%)1882 (22.7%).319
Cerebrovascular diseases1059 (12.8%)224 545 (5.3%)<.0011059 (12.8%)1042 (12.6%).691
Transplanted organ and tissue846 (10.1%)41 966 (1.0%)<.001845 (10.1%)808 (9.7%).338
Neoplasms4259 (51.0%)870 998 (21.1%)<.0014249 (51.0%)4352 (52.2%).110
HIV disease567 (6.8%)15 953 (0.4%)<.001563 (6.8%)514 (6.2%).123
Chronic HCV1130 (13.6%)26 359 (0.6%)<.0011130 (13.6%)973 (11.7%)<.001
Lifestyle risk factors
Nicotine-related disorders1306 (15.7%)361 641 (8.6%)<.0011306 (15.7%)1225 (14.8%).080
Alcohol-related disorders700 (8.4%)114 258 (2.7%)<.001700 (8.4%)639 (7.7%).082
SARS-CoV-2 vaccine1778 (21.4%)453 467 (10.8%)<.0011696 (20.3%)1624 (19.5%).163
SARS-CoV-2 treatments
Dexamethasone2949 (35.6%)775 329 (18.5%)<.0012949 (35.6%)2924 (35.3%).685
Methylprednisolone2290 (27.6%)735 001 (17.5%)<.0012290 (27.6%)2235 (27.0%).338
Remdesivir173 (2.1%)6030 (0.1%)<.001138 (2.0%)117 (1.7%).184
Nirmatrelvir/ritonavir149 (1.8%)24 529 (0.6%)<.001137 (2.0%)138 (2.0%).951
HBV treatments
Entecavir1667 (20.1%)1667 (20.1%)
Tenofovir alafenamide1280 (15.4%)1280 (15.4%)
Tenofovir disoproxil1280 (15.4%)1280 (15.4%)
Emtricitabine617 (7.4%)617 (7.4%)
Lamivudine368 (4.4%)368 (4.4%)
VariablesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2P-ValueHBV/SARS-CoV-2SARS-CoV-2P-Value
Totaln = 8293n = 4 198 481n = 8293n = 8293
Age at index (years)a56.5 ± 14.248.4 ± 19.4<.00156.5 ± 14.156.6 ± 15.1.643
Gender
Male4580 (55.2%)1 734 284 (41.3%)<.0014580 (55.2%)4590 (55.3%).815
Female3648 (44.0%)2 351 777 (56.0%)<.0013670 (44.0%)3687 (44.2%).791
Body mass index (kg/m2)a27.0 ± 6.329.9 ± 7.6<.00127.0 ± 6.329.3 ± 7.1<.001
Race or ethnicity
White1852 (22.3%)2 507 530 (59.7%)<.0011852 (22.3%)1807 (21.8%).399
Asian2706 (32.6%)156 415 (3.7%)<.0012706 (32.6%)2765 (33.3%).330
Unknown race1722 (20.6%)631 256 (15.3%)<.0011722 (20.7%)1737 (20.8%).774
Black or African American1542 (18.6%)597 960 (14.2%)<.0011542 (18.6%)1513 (18.2%).561
Hispanic or Latino189 (2.3%)26 302 (0.6%)<.001381 (4.6%)335 (4.0%).079
Native Hawaiian or other Pacific islander381 (4.6%)442 601 (10.5%)<.001189 (2.3%)175 (2.1%).458
Other race331 (4.0%)264 447 (4.0%)<.001330 (4.5%)378 (4.0%).065
Comorbidities
Liver cirrhosis1492 (18.0%)33 624 (0.8%)<.0011492 (18.0%)1143 (13.8%)<.001
Diseases of liver3855 (46.5%)261 197 (6.2%)<.0013855 (46.5%)3950 (47.6%).139
Ischemic heart diseases1750 (21.1%)378 104 (9.0%)<.0011750 (21.1%)1735 (20.9%).775
Hypertensive diseases4391 (52.9%)1 166 289 (27.8%)<.0014391 (52.9%)4415 (53.2%).709
Heart failure1037 (12.5%)202 151 (4.8%)<.0011037 (12.5%)1025 (12.4%).778
Diabetes mellitus2530 (30.5%)529 165 (12.6%)<.0012530 (30.5%)2526 (30.5%).946
Overweight or obesity1626 (19.5%)708 223 (17.1%)<.0011624 (19.5%)1922 (23.1%)<.001
Chronic lower respiratory diseases2226 (26.8%)717 382 (17.1%)<.0012226 (26.8%)2233 (26.9%).902
Chronic kidney disease1936 (23.3%)261 866 (6.2%)<.0011936 (23.3%)1882 (22.7%).319
Cerebrovascular diseases1059 (12.8%)224 545 (5.3%)<.0011059 (12.8%)1042 (12.6%).691
Transplanted organ and tissue846 (10.1%)41 966 (1.0%)<.001845 (10.1%)808 (9.7%).338
Neoplasms4259 (51.0%)870 998 (21.1%)<.0014249 (51.0%)4352 (52.2%).110
HIV disease567 (6.8%)15 953 (0.4%)<.001563 (6.8%)514 (6.2%).123
Chronic HCV1130 (13.6%)26 359 (0.6%)<.0011130 (13.6%)973 (11.7%)<.001
Lifestyle risk factors
Nicotine-related disorders1306 (15.7%)361 641 (8.6%)<.0011306 (15.7%)1225 (14.8%).080
Alcohol-related disorders700 (8.4%)114 258 (2.7%)<.001700 (8.4%)639 (7.7%).082
SARS-CoV-2 vaccine1778 (21.4%)453 467 (10.8%)<.0011696 (20.3%)1624 (19.5%).163
SARS-CoV-2 treatments
Dexamethasone2949 (35.6%)775 329 (18.5%)<.0012949 (35.6%)2924 (35.3%).685
Methylprednisolone2290 (27.6%)735 001 (17.5%)<.0012290 (27.6%)2235 (27.0%).338
Remdesivir173 (2.1%)6030 (0.1%)<.001138 (2.0%)117 (1.7%).184
Nirmatrelvir/ritonavir149 (1.8%)24 529 (0.6%)<.001137 (2.0%)138 (2.0%).951
HBV treatments
Entecavir1667 (20.1%)1667 (20.1%)
Tenofovir alafenamide1280 (15.4%)1280 (15.4%)
Tenofovir disoproxil1280 (15.4%)1280 (15.4%)
Emtricitabine617 (7.4%)617 (7.4%)
Lamivudine368 (4.4%)368 (4.4%)

HBV/SARS-CoV-2, individuals with HBV and SARS-CoV-2; SARS-CoV-2 only, individuals with SARS-CoV-2 without HBV.

aMean ± standard deviation.

Baseline Laboratory Parameters

A subset of participants had baseline laboratory parameters measured within one month after the index SARS-CoV-2 diagnosis. Among these, individuals with HBV/SARS-CoV-2 coinfection were more likely to exhibit evidence of end-organ damage at baseline compared to those in the SARS-CoV-2–only cohort (Table 2). This included lower hemoglobin, reduced platelet counts, elevated serum creatinine, and reduced estimated glomerular filtration rate. Additionally, markers of hepatic injury were higher in the HBV/SARS-CoV-2 group compared with the SARS-CoV-2-only group including aspartate transaminase (35 IU/L vs 25 IU/L), alanine aminotransferase (34 IU/L vs 26 IU/L), γ-glutamyl transferase (97 IU/L vs 74 IU/L), along with lower serum albumin and total and direct bilirubin (all P < .01). Moreover, individuals with HBV/SARS-CoV-2 had higher levels of acute-phase reactants including CRP, ESR, ferritin, and procalcitonin compared with those with SARS-CoV-2 alone (all P < .001). Propensity score matching partially balanced the cohorts; however, higher levels of markers of liver disease and inflammation persisted in the HBV/SARS-CoV-2 group compared with their SARS-CoV-2–only counterparts. There was no differences between groups in HBV DNA, HIV RNA, and HCV RNA levels.

Table 2.

Comparison of Baseline Laboratory Parameters Before and After Propensity Score Matching

VariablesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2P ValueHBV/SARS-CoV-2SARS-CoV-2P Value
Leukocytes (×109/L)a
n (%)
9.2 ± 98.9
6462 (87.6%)
11.7 ± 129.8
2 159 576 (55.0%)
<.0019.2 ± 99.2
6319 (77.9%)
11.9 ± 141.7
5930 (71.1%)
<.001
Hemoglobin (g/dL)a
n (%)
12.8 ± 2.3
7135 (82.4%)
13.3 ± 1.9
2 305 308 (54.9%)
<.00112.7 ± 2.3
7135 (86.0%)
12.9 ± 2.2
6565 (76.1%)
<.001
Platelets (×109/L) a
n (%)
216 ± 90
6833 (77.9%)
254 ± 78
2 305 308 (54.9%)
<.001215 ± 90
6833 (82.4%)
241 ± 86
6360 (76.7%)
<.001
Creatinine (mg/dL) a
n (%)
1.5 ± 5.9
7261 (87.6%)
1.0 ± 2.9
2 307 963 (55.0%)
<.0011.6 ± 5.9
7259 (87.1%)
1.5 ± 5.7
6690 (80.3%)
.831
GFR (mL/min/1.73 m2), n (%)79 ± 33
7255 (87.5%)
83 ± 29
2 186 766 (52.1%)
<.00178 ± 33
7251 (87.1%)
76 ± 31
6649 (79.8%)
.115
Hemoglobin A1c (%)a6.1 ± 1.4
4905 (59.2%)
6.1 ± 1.6
242 631 (29.6%)
.5796.1 ± 1.4
4905 (59.0%)
6.2 ± 1.5
4530 (54.3%)
.133
Prothrombin time (seconds)a, n (%)12.7 ± 3.3
4969 (59.9%)
13.1 ± 4.6
781 328 (18.6%)
<.00112.7 ± 3.3
4950 (59.3%)
12.8 ± 3.4
4012 (48.1%)
.115
INRa
n (%)
1.1 ± 0.8
5207 (62.8%)
1.1 ± 0.5
858 451 (20.4%)
.0031.1 ± 0.8
5198 (62.4%)
1.1 ± 1.1
4143 (49.7%)
.207
ATTP (seconds)a
n (%)
31 ± 10
4002 (49.3%)
31 ± 11
682 288 (16.3%)
.36430.9 ± 9.8
3906 (48.1%)
30.5 ± 9.0
3426 (41.1%)
.827
Alkaline phosphatase (IU/L)a
n (%)
97 ± 85
6651 (80.2%)
82 ± 48
2 062 264 (49.1%)
<.00198 ± 85
6651 (79.8%)
93 ± 78
6112 (73.3%)
.010
AST (IU/L)a
n (%)
35 ± 74
7266 (87.6%)
25 ± 42
2 115 937 (50.4%)
<.00135 ± 75
7244 (87.2%)
31 ± 52
6485 (77.8%)
<.001
ALT (IU/L)a
n (%)
34 ± 86
7330 (88.4%)
26 ± 37
2 134 845 (50.8%)
<.00134 ± 87
7327 (87.9%)
30 ± 58
6555 (78.6%)
<.001
GGT (IU/L)a
n (%)
97 ± 226
1808 (21.8%)
74 ± 165
145 067 (3.5%)
<.001100 ± 230
1802 (22.2%)
110 ± 247
1399 (16.8%)
.684
Total bilirubin (mg/dL)a
n (%)
0.7 ± 1.2
6985 (84.2%)
0.6 ± 0.6
2 032 560 (48.4%)
<.0010.7 ± 1.2
6974 (83.9%)
0.7 ± 1.2
6253 (75.0%)
.124
Direct bilirubin (mg/dL)a
n (%)
0.4 ± 1.4
4197 (50.6%)
0.3 ± 1.0
623 544 (14.9%)
<.0010.4 ± 1.3
4189 (51.5%)
0.4 ± 1.4
3384 (40.6%)
.976
Total protein (mg/dL)a
n (%)
7.1 ± 0.9
5929 (71.5%)
7.1 ± 0.8
1 932 320 (46.0%)
.1657.1 ± 0.9
5922 (71.3%)
7.1 ± 0.8
5550 (66.6%)
.736
Albumin (g/dL)a
n (%)
4.0 ± 0.6
6724 (81.1%)
4.1 ± 0.5
2 034 262 (48.5%)
<.0014.0 ± 0.6
6724 (80.7%)
4.0 ± 0.6
6121 (73.4%)
.998
Total cholesterol (mg/dL)a, n (%)169 ± 45
5309 (64.0%)
178 ± 44
1 591 224 (37.9%)
<.001168 ± 45
5301 (63.8%)
171 ± 45
5113 (61.3%)
.008
HDL (mg/dL)a
n (%)
50 ± 17
5064 (61.1%)
51 ± 18
1 605 848 (38.2%)
<.00150 ± 18
5033 (60.9%)
50 ± 18
4974 (59.7%)
.010
LDL (mg/dL)a
n (%)
94 ± 36
5082 (61.3%)
102 ± 36
1 590 109 (37.9%)
<.00194 ± 36
5080 (61.2%)
95 ± 36
4984 (59.8%)
<.001
Triglycerides (mg/dL)a
n (%)
128 ± 114
4700 (56.7%)
130 ± 102
1 597 570 (38.1%)
0.490129 ± 115
4678 (56.8%)
135 ± 101
4578 (54.9%)
.163
Lactate dehydrogenase
(mg/dL)a, n (%)
280 ± 261
2419 (29.2%)
264 ± 302
235 291 (5.6%)
<.001272 ± 332
2544 (30.5%)
274 ± 374
1905 (22.9%)
.266
Troponin (mg/dL)a
n (%)
0.5 ± 3.6
1044 (12.2%)
0.6 ± 9.9
244 623 (6.0%)
.6800.4 ± 3.5
961 (12.5%)
0.6 ± 11.1
980 (12.3%)
.607
Natriuretic peptide B (pg/mL)a, n (%)406 ± 1055
1093 (13.1%)
416 ± 2314
214 785 (5.3%)
.893434 ± 1643
954 (11.3%)
432 ± 2282
928 (11.1%)
.654
Ferritin (ng/dL)a
n (%)
459 ± 931
2958 (35.5%)
214 ± 772
516 269 (12.3%)
<.001474 ± 938
2900 (35.0%)
419 ± 927
2433 (29.2%)
<.001
Procalcitonin (ng/mL)a
n (%)
2.5 ± 8.9
686 (9.8%)
1.8 ± 7.2
74 708 (2.3%)
.0112.4 ± 9.0
686 (9.8%)
2.7 ± 10.1
475 (6.8%)
.667
Fibrin D-dimer (ng/mL)a
n (%)
433 ± 1388
674 (9.6%)
336 ± 4077
139 264 (4.3%)
0.534433 ± 1373
674 (9.6%)
325 ± 978
577 (8.2%)
.248
C-reactive protein (mg/dL)a, n (%)23.9 ± 48.7
2913 (35.1%)
21.7 ± 45.5
502 612 (12.0%)
.01124 ± 49
2849 (35.0%)
21 ± 44
2382 (28.6%)
.022
Erythrocyte sedimentation rate (mm/hour)a, n (%)33 ± 32
1874 (22.6%)
22 ± 23
550 844 (13.1%)
<.00133 ± 32
1862 (22.3%)
29 ± 29
1715 (20.6%)
<.001
Lactate (mg/mL)a,
n (%)
1.5 ± 0.8
1932 (23.2%)
1.4 ± 1.0
367 048 (8.9%)
.0381.5 ± 0.8
1451 (20.9%)
1.4 ± 1.2
1475 (21.3%)
.773
-
HBV DNA (log IU/mL)a
n (%)
5.2 ± 0.4
1365 (16.4%)
--5.2 ± 0.4
1365 (16.4%)
--
HCV RNA (log IU/mL) a
n (%)
6.1 ± 0.4
210 (18.6%)b
6.1 ± 0.5
10 693 (40.6%) b
.9726.1 ± 0.4
210 (18.6%) b
6.0 ± 0.5
180 (18.5%) b
.445
HIV RNA (log copies/mL) a
n (%)
2.1 ± 1.3
172 (30.3%) b
2.1 ± 1.5
5081 (31.8%) b
.8872.0 ± 1.1
172 (30.6%) b
1.9 ± 1.5
150 (29.2%) b
.458
VariablesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2P ValueHBV/SARS-CoV-2SARS-CoV-2P Value
Leukocytes (×109/L)a
n (%)
9.2 ± 98.9
6462 (87.6%)
11.7 ± 129.8
2 159 576 (55.0%)
<.0019.2 ± 99.2
6319 (77.9%)
11.9 ± 141.7
5930 (71.1%)
<.001
Hemoglobin (g/dL)a
n (%)
12.8 ± 2.3
7135 (82.4%)
13.3 ± 1.9
2 305 308 (54.9%)
<.00112.7 ± 2.3
7135 (86.0%)
12.9 ± 2.2
6565 (76.1%)
<.001
Platelets (×109/L) a
n (%)
216 ± 90
6833 (77.9%)
254 ± 78
2 305 308 (54.9%)
<.001215 ± 90
6833 (82.4%)
241 ± 86
6360 (76.7%)
<.001
Creatinine (mg/dL) a
n (%)
1.5 ± 5.9
7261 (87.6%)
1.0 ± 2.9
2 307 963 (55.0%)
<.0011.6 ± 5.9
7259 (87.1%)
1.5 ± 5.7
6690 (80.3%)
.831
GFR (mL/min/1.73 m2), n (%)79 ± 33
7255 (87.5%)
83 ± 29
2 186 766 (52.1%)
<.00178 ± 33
7251 (87.1%)
76 ± 31
6649 (79.8%)
.115
Hemoglobin A1c (%)a6.1 ± 1.4
4905 (59.2%)
6.1 ± 1.6
242 631 (29.6%)
.5796.1 ± 1.4
4905 (59.0%)
6.2 ± 1.5
4530 (54.3%)
.133
Prothrombin time (seconds)a, n (%)12.7 ± 3.3
4969 (59.9%)
13.1 ± 4.6
781 328 (18.6%)
<.00112.7 ± 3.3
4950 (59.3%)
12.8 ± 3.4
4012 (48.1%)
.115
INRa
n (%)
1.1 ± 0.8
5207 (62.8%)
1.1 ± 0.5
858 451 (20.4%)
.0031.1 ± 0.8
5198 (62.4%)
1.1 ± 1.1
4143 (49.7%)
.207
ATTP (seconds)a
n (%)
31 ± 10
4002 (49.3%)
31 ± 11
682 288 (16.3%)
.36430.9 ± 9.8
3906 (48.1%)
30.5 ± 9.0
3426 (41.1%)
.827
Alkaline phosphatase (IU/L)a
n (%)
97 ± 85
6651 (80.2%)
82 ± 48
2 062 264 (49.1%)
<.00198 ± 85
6651 (79.8%)
93 ± 78
6112 (73.3%)
.010
AST (IU/L)a
n (%)
35 ± 74
7266 (87.6%)
25 ± 42
2 115 937 (50.4%)
<.00135 ± 75
7244 (87.2%)
31 ± 52
6485 (77.8%)
<.001
ALT (IU/L)a
n (%)
34 ± 86
7330 (88.4%)
26 ± 37
2 134 845 (50.8%)
<.00134 ± 87
7327 (87.9%)
30 ± 58
6555 (78.6%)
<.001
GGT (IU/L)a
n (%)
97 ± 226
1808 (21.8%)
74 ± 165
145 067 (3.5%)
<.001100 ± 230
1802 (22.2%)
110 ± 247
1399 (16.8%)
.684
Total bilirubin (mg/dL)a
n (%)
0.7 ± 1.2
6985 (84.2%)
0.6 ± 0.6
2 032 560 (48.4%)
<.0010.7 ± 1.2
6974 (83.9%)
0.7 ± 1.2
6253 (75.0%)
.124
Direct bilirubin (mg/dL)a
n (%)
0.4 ± 1.4
4197 (50.6%)
0.3 ± 1.0
623 544 (14.9%)
<.0010.4 ± 1.3
4189 (51.5%)
0.4 ± 1.4
3384 (40.6%)
.976
Total protein (mg/dL)a
n (%)
7.1 ± 0.9
5929 (71.5%)
7.1 ± 0.8
1 932 320 (46.0%)
.1657.1 ± 0.9
5922 (71.3%)
7.1 ± 0.8
5550 (66.6%)
.736
Albumin (g/dL)a
n (%)
4.0 ± 0.6
6724 (81.1%)
4.1 ± 0.5
2 034 262 (48.5%)
<.0014.0 ± 0.6
6724 (80.7%)
4.0 ± 0.6
6121 (73.4%)
.998
Total cholesterol (mg/dL)a, n (%)169 ± 45
5309 (64.0%)
178 ± 44
1 591 224 (37.9%)
<.001168 ± 45
5301 (63.8%)
171 ± 45
5113 (61.3%)
.008
HDL (mg/dL)a
n (%)
50 ± 17
5064 (61.1%)
51 ± 18
1 605 848 (38.2%)
<.00150 ± 18
5033 (60.9%)
50 ± 18
4974 (59.7%)
.010
LDL (mg/dL)a
n (%)
94 ± 36
5082 (61.3%)
102 ± 36
1 590 109 (37.9%)
<.00194 ± 36
5080 (61.2%)
95 ± 36
4984 (59.8%)
<.001
Triglycerides (mg/dL)a
n (%)
128 ± 114
4700 (56.7%)
130 ± 102
1 597 570 (38.1%)
0.490129 ± 115
4678 (56.8%)
135 ± 101
4578 (54.9%)
.163
Lactate dehydrogenase
(mg/dL)a, n (%)
280 ± 261
2419 (29.2%)
264 ± 302
235 291 (5.6%)
<.001272 ± 332
2544 (30.5%)
274 ± 374
1905 (22.9%)
.266
Troponin (mg/dL)a
n (%)
0.5 ± 3.6
1044 (12.2%)
0.6 ± 9.9
244 623 (6.0%)
.6800.4 ± 3.5
961 (12.5%)
0.6 ± 11.1
980 (12.3%)
.607
Natriuretic peptide B (pg/mL)a, n (%)406 ± 1055
1093 (13.1%)
416 ± 2314
214 785 (5.3%)
.893434 ± 1643
954 (11.3%)
432 ± 2282
928 (11.1%)
.654
Ferritin (ng/dL)a
n (%)
459 ± 931
2958 (35.5%)
214 ± 772
516 269 (12.3%)
<.001474 ± 938
2900 (35.0%)
419 ± 927
2433 (29.2%)
<.001
Procalcitonin (ng/mL)a
n (%)
2.5 ± 8.9
686 (9.8%)
1.8 ± 7.2
74 708 (2.3%)
.0112.4 ± 9.0
686 (9.8%)
2.7 ± 10.1
475 (6.8%)
.667
Fibrin D-dimer (ng/mL)a
n (%)
433 ± 1388
674 (9.6%)
336 ± 4077
139 264 (4.3%)
0.534433 ± 1373
674 (9.6%)
325 ± 978
577 (8.2%)
.248
C-reactive protein (mg/dL)a, n (%)23.9 ± 48.7
2913 (35.1%)
21.7 ± 45.5
502 612 (12.0%)
.01124 ± 49
2849 (35.0%)
21 ± 44
2382 (28.6%)
.022
Erythrocyte sedimentation rate (mm/hour)a, n (%)33 ± 32
1874 (22.6%)
22 ± 23
550 844 (13.1%)
<.00133 ± 32
1862 (22.3%)
29 ± 29
1715 (20.6%)
<.001
Lactate (mg/mL)a,
n (%)
1.5 ± 0.8
1932 (23.2%)
1.4 ± 1.0
367 048 (8.9%)
.0381.5 ± 0.8
1451 (20.9%)
1.4 ± 1.2
1475 (21.3%)
.773
-
HBV DNA (log IU/mL)a
n (%)
5.2 ± 0.4
1365 (16.4%)
--5.2 ± 0.4
1365 (16.4%)
--
HCV RNA (log IU/mL) a
n (%)
6.1 ± 0.4
210 (18.6%)b
6.1 ± 0.5
10 693 (40.6%) b
.9726.1 ± 0.4
210 (18.6%) b
6.0 ± 0.5
180 (18.5%) b
.445
HIV RNA (log copies/mL) a
n (%)
2.1 ± 1.3
172 (30.3%) b
2.1 ± 1.5
5081 (31.8%) b
.8872.0 ± 1.1
172 (30.6%) b
1.9 ± 1.5
150 (29.2%) b
.458

N (%), Number and percentage of individuals with available laboratory values out of the total population in the group.

Abbreviations: ALT, alanine transaminase; AST, aspartate transaminase; ATTP, activated partial thromboplastin time; GGT, gamma-glutamyl transferase; HBV/SARS-CoV-2, individuals with HBV and SARS-CoV-2; INR, international normalized ratio; GFR, glomerular filtration rate; HDL, high-density lipoprotein; LDL, low-density lipoprotein; SARS-CoV-2, individuals with SARS-CoV-2 without HBV.

aMean ± standard deviation.

bIndicates proportion of subgroup of participants with available baseline data for the corresponding parameter.

Table 2.

Comparison of Baseline Laboratory Parameters Before and After Propensity Score Matching

VariablesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2P ValueHBV/SARS-CoV-2SARS-CoV-2P Value
Leukocytes (×109/L)a
n (%)
9.2 ± 98.9
6462 (87.6%)
11.7 ± 129.8
2 159 576 (55.0%)
<.0019.2 ± 99.2
6319 (77.9%)
11.9 ± 141.7
5930 (71.1%)
<.001
Hemoglobin (g/dL)a
n (%)
12.8 ± 2.3
7135 (82.4%)
13.3 ± 1.9
2 305 308 (54.9%)
<.00112.7 ± 2.3
7135 (86.0%)
12.9 ± 2.2
6565 (76.1%)
<.001
Platelets (×109/L) a
n (%)
216 ± 90
6833 (77.9%)
254 ± 78
2 305 308 (54.9%)
<.001215 ± 90
6833 (82.4%)
241 ± 86
6360 (76.7%)
<.001
Creatinine (mg/dL) a
n (%)
1.5 ± 5.9
7261 (87.6%)
1.0 ± 2.9
2 307 963 (55.0%)
<.0011.6 ± 5.9
7259 (87.1%)
1.5 ± 5.7
6690 (80.3%)
.831
GFR (mL/min/1.73 m2), n (%)79 ± 33
7255 (87.5%)
83 ± 29
2 186 766 (52.1%)
<.00178 ± 33
7251 (87.1%)
76 ± 31
6649 (79.8%)
.115
Hemoglobin A1c (%)a6.1 ± 1.4
4905 (59.2%)
6.1 ± 1.6
242 631 (29.6%)
.5796.1 ± 1.4
4905 (59.0%)
6.2 ± 1.5
4530 (54.3%)
.133
Prothrombin time (seconds)a, n (%)12.7 ± 3.3
4969 (59.9%)
13.1 ± 4.6
781 328 (18.6%)
<.00112.7 ± 3.3
4950 (59.3%)
12.8 ± 3.4
4012 (48.1%)
.115
INRa
n (%)
1.1 ± 0.8
5207 (62.8%)
1.1 ± 0.5
858 451 (20.4%)
.0031.1 ± 0.8
5198 (62.4%)
1.1 ± 1.1
4143 (49.7%)
.207
ATTP (seconds)a
n (%)
31 ± 10
4002 (49.3%)
31 ± 11
682 288 (16.3%)
.36430.9 ± 9.8
3906 (48.1%)
30.5 ± 9.0
3426 (41.1%)
.827
Alkaline phosphatase (IU/L)a
n (%)
97 ± 85
6651 (80.2%)
82 ± 48
2 062 264 (49.1%)
<.00198 ± 85
6651 (79.8%)
93 ± 78
6112 (73.3%)
.010
AST (IU/L)a
n (%)
35 ± 74
7266 (87.6%)
25 ± 42
2 115 937 (50.4%)
<.00135 ± 75
7244 (87.2%)
31 ± 52
6485 (77.8%)
<.001
ALT (IU/L)a
n (%)
34 ± 86
7330 (88.4%)
26 ± 37
2 134 845 (50.8%)
<.00134 ± 87
7327 (87.9%)
30 ± 58
6555 (78.6%)
<.001
GGT (IU/L)a
n (%)
97 ± 226
1808 (21.8%)
74 ± 165
145 067 (3.5%)
<.001100 ± 230
1802 (22.2%)
110 ± 247
1399 (16.8%)
.684
Total bilirubin (mg/dL)a
n (%)
0.7 ± 1.2
6985 (84.2%)
0.6 ± 0.6
2 032 560 (48.4%)
<.0010.7 ± 1.2
6974 (83.9%)
0.7 ± 1.2
6253 (75.0%)
.124
Direct bilirubin (mg/dL)a
n (%)
0.4 ± 1.4
4197 (50.6%)
0.3 ± 1.0
623 544 (14.9%)
<.0010.4 ± 1.3
4189 (51.5%)
0.4 ± 1.4
3384 (40.6%)
.976
Total protein (mg/dL)a
n (%)
7.1 ± 0.9
5929 (71.5%)
7.1 ± 0.8
1 932 320 (46.0%)
.1657.1 ± 0.9
5922 (71.3%)
7.1 ± 0.8
5550 (66.6%)
.736
Albumin (g/dL)a
n (%)
4.0 ± 0.6
6724 (81.1%)
4.1 ± 0.5
2 034 262 (48.5%)
<.0014.0 ± 0.6
6724 (80.7%)
4.0 ± 0.6
6121 (73.4%)
.998
Total cholesterol (mg/dL)a, n (%)169 ± 45
5309 (64.0%)
178 ± 44
1 591 224 (37.9%)
<.001168 ± 45
5301 (63.8%)
171 ± 45
5113 (61.3%)
.008
HDL (mg/dL)a
n (%)
50 ± 17
5064 (61.1%)
51 ± 18
1 605 848 (38.2%)
<.00150 ± 18
5033 (60.9%)
50 ± 18
4974 (59.7%)
.010
LDL (mg/dL)a
n (%)
94 ± 36
5082 (61.3%)
102 ± 36
1 590 109 (37.9%)
<.00194 ± 36
5080 (61.2%)
95 ± 36
4984 (59.8%)
<.001
Triglycerides (mg/dL)a
n (%)
128 ± 114
4700 (56.7%)
130 ± 102
1 597 570 (38.1%)
0.490129 ± 115
4678 (56.8%)
135 ± 101
4578 (54.9%)
.163
Lactate dehydrogenase
(mg/dL)a, n (%)
280 ± 261
2419 (29.2%)
264 ± 302
235 291 (5.6%)
<.001272 ± 332
2544 (30.5%)
274 ± 374
1905 (22.9%)
.266
Troponin (mg/dL)a
n (%)
0.5 ± 3.6
1044 (12.2%)
0.6 ± 9.9
244 623 (6.0%)
.6800.4 ± 3.5
961 (12.5%)
0.6 ± 11.1
980 (12.3%)
.607
Natriuretic peptide B (pg/mL)a, n (%)406 ± 1055
1093 (13.1%)
416 ± 2314
214 785 (5.3%)
.893434 ± 1643
954 (11.3%)
432 ± 2282
928 (11.1%)
.654
Ferritin (ng/dL)a
n (%)
459 ± 931
2958 (35.5%)
214 ± 772
516 269 (12.3%)
<.001474 ± 938
2900 (35.0%)
419 ± 927
2433 (29.2%)
<.001
Procalcitonin (ng/mL)a
n (%)
2.5 ± 8.9
686 (9.8%)
1.8 ± 7.2
74 708 (2.3%)
.0112.4 ± 9.0
686 (9.8%)
2.7 ± 10.1
475 (6.8%)
.667
Fibrin D-dimer (ng/mL)a
n (%)
433 ± 1388
674 (9.6%)
336 ± 4077
139 264 (4.3%)
0.534433 ± 1373
674 (9.6%)
325 ± 978
577 (8.2%)
.248
C-reactive protein (mg/dL)a, n (%)23.9 ± 48.7
2913 (35.1%)
21.7 ± 45.5
502 612 (12.0%)
.01124 ± 49
2849 (35.0%)
21 ± 44
2382 (28.6%)
.022
Erythrocyte sedimentation rate (mm/hour)a, n (%)33 ± 32
1874 (22.6%)
22 ± 23
550 844 (13.1%)
<.00133 ± 32
1862 (22.3%)
29 ± 29
1715 (20.6%)
<.001
Lactate (mg/mL)a,
n (%)
1.5 ± 0.8
1932 (23.2%)
1.4 ± 1.0
367 048 (8.9%)
.0381.5 ± 0.8
1451 (20.9%)
1.4 ± 1.2
1475 (21.3%)
.773
-
HBV DNA (log IU/mL)a
n (%)
5.2 ± 0.4
1365 (16.4%)
--5.2 ± 0.4
1365 (16.4%)
--
HCV RNA (log IU/mL) a
n (%)
6.1 ± 0.4
210 (18.6%)b
6.1 ± 0.5
10 693 (40.6%) b
.9726.1 ± 0.4
210 (18.6%) b
6.0 ± 0.5
180 (18.5%) b
.445
HIV RNA (log copies/mL) a
n (%)
2.1 ± 1.3
172 (30.3%) b
2.1 ± 1.5
5081 (31.8%) b
.8872.0 ± 1.1
172 (30.6%) b
1.9 ± 1.5
150 (29.2%) b
.458
VariablesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2P ValueHBV/SARS-CoV-2SARS-CoV-2P Value
Leukocytes (×109/L)a
n (%)
9.2 ± 98.9
6462 (87.6%)
11.7 ± 129.8
2 159 576 (55.0%)
<.0019.2 ± 99.2
6319 (77.9%)
11.9 ± 141.7
5930 (71.1%)
<.001
Hemoglobin (g/dL)a
n (%)
12.8 ± 2.3
7135 (82.4%)
13.3 ± 1.9
2 305 308 (54.9%)
<.00112.7 ± 2.3
7135 (86.0%)
12.9 ± 2.2
6565 (76.1%)
<.001
Platelets (×109/L) a
n (%)
216 ± 90
6833 (77.9%)
254 ± 78
2 305 308 (54.9%)
<.001215 ± 90
6833 (82.4%)
241 ± 86
6360 (76.7%)
<.001
Creatinine (mg/dL) a
n (%)
1.5 ± 5.9
7261 (87.6%)
1.0 ± 2.9
2 307 963 (55.0%)
<.0011.6 ± 5.9
7259 (87.1%)
1.5 ± 5.7
6690 (80.3%)
.831
GFR (mL/min/1.73 m2), n (%)79 ± 33
7255 (87.5%)
83 ± 29
2 186 766 (52.1%)
<.00178 ± 33
7251 (87.1%)
76 ± 31
6649 (79.8%)
.115
Hemoglobin A1c (%)a6.1 ± 1.4
4905 (59.2%)
6.1 ± 1.6
242 631 (29.6%)
.5796.1 ± 1.4
4905 (59.0%)
6.2 ± 1.5
4530 (54.3%)
.133
Prothrombin time (seconds)a, n (%)12.7 ± 3.3
4969 (59.9%)
13.1 ± 4.6
781 328 (18.6%)
<.00112.7 ± 3.3
4950 (59.3%)
12.8 ± 3.4
4012 (48.1%)
.115
INRa
n (%)
1.1 ± 0.8
5207 (62.8%)
1.1 ± 0.5
858 451 (20.4%)
.0031.1 ± 0.8
5198 (62.4%)
1.1 ± 1.1
4143 (49.7%)
.207
ATTP (seconds)a
n (%)
31 ± 10
4002 (49.3%)
31 ± 11
682 288 (16.3%)
.36430.9 ± 9.8
3906 (48.1%)
30.5 ± 9.0
3426 (41.1%)
.827
Alkaline phosphatase (IU/L)a
n (%)
97 ± 85
6651 (80.2%)
82 ± 48
2 062 264 (49.1%)
<.00198 ± 85
6651 (79.8%)
93 ± 78
6112 (73.3%)
.010
AST (IU/L)a
n (%)
35 ± 74
7266 (87.6%)
25 ± 42
2 115 937 (50.4%)
<.00135 ± 75
7244 (87.2%)
31 ± 52
6485 (77.8%)
<.001
ALT (IU/L)a
n (%)
34 ± 86
7330 (88.4%)
26 ± 37
2 134 845 (50.8%)
<.00134 ± 87
7327 (87.9%)
30 ± 58
6555 (78.6%)
<.001
GGT (IU/L)a
n (%)
97 ± 226
1808 (21.8%)
74 ± 165
145 067 (3.5%)
<.001100 ± 230
1802 (22.2%)
110 ± 247
1399 (16.8%)
.684
Total bilirubin (mg/dL)a
n (%)
0.7 ± 1.2
6985 (84.2%)
0.6 ± 0.6
2 032 560 (48.4%)
<.0010.7 ± 1.2
6974 (83.9%)
0.7 ± 1.2
6253 (75.0%)
.124
Direct bilirubin (mg/dL)a
n (%)
0.4 ± 1.4
4197 (50.6%)
0.3 ± 1.0
623 544 (14.9%)
<.0010.4 ± 1.3
4189 (51.5%)
0.4 ± 1.4
3384 (40.6%)
.976
Total protein (mg/dL)a
n (%)
7.1 ± 0.9
5929 (71.5%)
7.1 ± 0.8
1 932 320 (46.0%)
.1657.1 ± 0.9
5922 (71.3%)
7.1 ± 0.8
5550 (66.6%)
.736
Albumin (g/dL)a
n (%)
4.0 ± 0.6
6724 (81.1%)
4.1 ± 0.5
2 034 262 (48.5%)
<.0014.0 ± 0.6
6724 (80.7%)
4.0 ± 0.6
6121 (73.4%)
.998
Total cholesterol (mg/dL)a, n (%)169 ± 45
5309 (64.0%)
178 ± 44
1 591 224 (37.9%)
<.001168 ± 45
5301 (63.8%)
171 ± 45
5113 (61.3%)
.008
HDL (mg/dL)a
n (%)
50 ± 17
5064 (61.1%)
51 ± 18
1 605 848 (38.2%)
<.00150 ± 18
5033 (60.9%)
50 ± 18
4974 (59.7%)
.010
LDL (mg/dL)a
n (%)
94 ± 36
5082 (61.3%)
102 ± 36
1 590 109 (37.9%)
<.00194 ± 36
5080 (61.2%)
95 ± 36
4984 (59.8%)
<.001
Triglycerides (mg/dL)a
n (%)
128 ± 114
4700 (56.7%)
130 ± 102
1 597 570 (38.1%)
0.490129 ± 115
4678 (56.8%)
135 ± 101
4578 (54.9%)
.163
Lactate dehydrogenase
(mg/dL)a, n (%)
280 ± 261
2419 (29.2%)
264 ± 302
235 291 (5.6%)
<.001272 ± 332
2544 (30.5%)
274 ± 374
1905 (22.9%)
.266
Troponin (mg/dL)a
n (%)
0.5 ± 3.6
1044 (12.2%)
0.6 ± 9.9
244 623 (6.0%)
.6800.4 ± 3.5
961 (12.5%)
0.6 ± 11.1
980 (12.3%)
.607
Natriuretic peptide B (pg/mL)a, n (%)406 ± 1055
1093 (13.1%)
416 ± 2314
214 785 (5.3%)
.893434 ± 1643
954 (11.3%)
432 ± 2282
928 (11.1%)
.654
Ferritin (ng/dL)a
n (%)
459 ± 931
2958 (35.5%)
214 ± 772
516 269 (12.3%)
<.001474 ± 938
2900 (35.0%)
419 ± 927
2433 (29.2%)
<.001
Procalcitonin (ng/mL)a
n (%)
2.5 ± 8.9
686 (9.8%)
1.8 ± 7.2
74 708 (2.3%)
.0112.4 ± 9.0
686 (9.8%)
2.7 ± 10.1
475 (6.8%)
.667
Fibrin D-dimer (ng/mL)a
n (%)
433 ± 1388
674 (9.6%)
336 ± 4077
139 264 (4.3%)
0.534433 ± 1373
674 (9.6%)
325 ± 978
577 (8.2%)
.248
C-reactive protein (mg/dL)a, n (%)23.9 ± 48.7
2913 (35.1%)
21.7 ± 45.5
502 612 (12.0%)
.01124 ± 49
2849 (35.0%)
21 ± 44
2382 (28.6%)
.022
Erythrocyte sedimentation rate (mm/hour)a, n (%)33 ± 32
1874 (22.6%)
22 ± 23
550 844 (13.1%)
<.00133 ± 32
1862 (22.3%)
29 ± 29
1715 (20.6%)
<.001
Lactate (mg/mL)a,
n (%)
1.5 ± 0.8
1932 (23.2%)
1.4 ± 1.0
367 048 (8.9%)
.0381.5 ± 0.8
1451 (20.9%)
1.4 ± 1.2
1475 (21.3%)
.773
-
HBV DNA (log IU/mL)a
n (%)
5.2 ± 0.4
1365 (16.4%)
--5.2 ± 0.4
1365 (16.4%)
--
HCV RNA (log IU/mL) a
n (%)
6.1 ± 0.4
210 (18.6%)b
6.1 ± 0.5
10 693 (40.6%) b
.9726.1 ± 0.4
210 (18.6%) b
6.0 ± 0.5
180 (18.5%) b
.445
HIV RNA (log copies/mL) a
n (%)
2.1 ± 1.3
172 (30.3%) b
2.1 ± 1.5
5081 (31.8%) b
.8872.0 ± 1.1
172 (30.6%) b
1.9 ± 1.5
150 (29.2%) b
.458

N (%), Number and percentage of individuals with available laboratory values out of the total population in the group.

Abbreviations: ALT, alanine transaminase; AST, aspartate transaminase; ATTP, activated partial thromboplastin time; GGT, gamma-glutamyl transferase; HBV/SARS-CoV-2, individuals with HBV and SARS-CoV-2; INR, international normalized ratio; GFR, glomerular filtration rate; HDL, high-density lipoprotein; LDL, low-density lipoprotein; SARS-CoV-2, individuals with SARS-CoV-2 without HBV.

aMean ± standard deviation.

bIndicates proportion of subgroup of participants with available baseline data for the corresponding parameter.

Clinical Outcomes of SARS-CoV-2 in Primary Analyses

Inpatient hospital admission rates were similar between the cohorts (11.2% vs 11.6%); however, individuals with HBV/SARS-CoV-2 experienced higher rates of ICU admission (5.9% vs 3.0%), mechanical ventilation (2.3% vs 0.9%), 30-day mortality (2.2% vs 1.3%), 90-day mortality (3.3% vs 1.8%), and overall mortality (8.7% vs 4.0%) (all P < .001) compared with those with SARS-CoV-2 alone (Table 3). After propensity score matching, individuals with HBV/SARS-CoV-2 had significantly higher odds of ICU admissions (OR, 1.18; 95% CI, 1.02–1.36; P = .024), 90-day mortality (OR, 1.22; 95% CI, 1.01–1.41; P = .042), and overall mortality (OR, 1.18; 95% CI, 1.06–1.33; P = .003) compare with those with SARS-CoV-2 alone.

Table 3.

Clinical Outcomes in Primary Analysis

OutcomesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P valueHBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P value
Hospitalization364 (11.2%)334 346 (11.6%)0.96 (0.86–1.08).508364 (11.2%)461 (12.0%)0.93 (0.80–1.08).327
Intensive care unit425 (5.9%)119 616 (3.0%)2.01 (1.83–2.22)<.001423 (5.9%)373 (5.1%)1.18 (1.02–1.36).024
Mechanical ventilation183 (2.3%)34 817 (0.9%)2.73 (2.36–3.16)<.001182 (2.3%)140 (1.7%)1.31 (1.05–1.64).016
Mortality (30-day)178 (2.2%)55 954 (1.3%)1.63 (1.41–1.89)<.001178 (2.2%)153 (1.9%)1.17 (0.94–1.46).158
Mortality (90-day)274 (3.3%)75 795 (1.8%)1.87 (1.65–2.11)<.001274 (3.3%)224 (2.7%)1.22 (1.01–1.41).042
Mortality (overall)722 (8.7%)163 160 (4.0%)2.32 (2.14–2.50)<.001721 (8.7%)617 (7.5%)1.18 (1.06–1.33).003
OutcomesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P valueHBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P value
Hospitalization364 (11.2%)334 346 (11.6%)0.96 (0.86–1.08).508364 (11.2%)461 (12.0%)0.93 (0.80–1.08).327
Intensive care unit425 (5.9%)119 616 (3.0%)2.01 (1.83–2.22)<.001423 (5.9%)373 (5.1%)1.18 (1.02–1.36).024
Mechanical ventilation183 (2.3%)34 817 (0.9%)2.73 (2.36–3.16)<.001182 (2.3%)140 (1.7%)1.31 (1.05–1.64).016
Mortality (30-day)178 (2.2%)55 954 (1.3%)1.63 (1.41–1.89)<.001178 (2.2%)153 (1.9%)1.17 (0.94–1.46).158
Mortality (90-day)274 (3.3%)75 795 (1.8%)1.87 (1.65–2.11)<.001274 (3.3%)224 (2.7%)1.22 (1.01–1.41).042
Mortality (overall)722 (8.7%)163 160 (4.0%)2.32 (2.14–2.50)<.001721 (8.7%)617 (7.5%)1.18 (1.06–1.33).003

Abbreviations: CI, confidence interval; HBV/SARS-CoV-2, individuals with HBV and SARS-CoV-2; ICU, intensive care unit; OR, odds ratio; SARS-CoV-2, individuals with SARS-CoV-2 without HBV.

Table 3.

Clinical Outcomes in Primary Analysis

OutcomesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P valueHBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P value
Hospitalization364 (11.2%)334 346 (11.6%)0.96 (0.86–1.08).508364 (11.2%)461 (12.0%)0.93 (0.80–1.08).327
Intensive care unit425 (5.9%)119 616 (3.0%)2.01 (1.83–2.22)<.001423 (5.9%)373 (5.1%)1.18 (1.02–1.36).024
Mechanical ventilation183 (2.3%)34 817 (0.9%)2.73 (2.36–3.16)<.001182 (2.3%)140 (1.7%)1.31 (1.05–1.64).016
Mortality (30-day)178 (2.2%)55 954 (1.3%)1.63 (1.41–1.89)<.001178 (2.2%)153 (1.9%)1.17 (0.94–1.46).158
Mortality (90-day)274 (3.3%)75 795 (1.8%)1.87 (1.65–2.11)<.001274 (3.3%)224 (2.7%)1.22 (1.01–1.41).042
Mortality (overall)722 (8.7%)163 160 (4.0%)2.32 (2.14–2.50)<.001721 (8.7%)617 (7.5%)1.18 (1.06–1.33).003
OutcomesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P valueHBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P value
Hospitalization364 (11.2%)334 346 (11.6%)0.96 (0.86–1.08).508364 (11.2%)461 (12.0%)0.93 (0.80–1.08).327
Intensive care unit425 (5.9%)119 616 (3.0%)2.01 (1.83–2.22)<.001423 (5.9%)373 (5.1%)1.18 (1.02–1.36).024
Mechanical ventilation183 (2.3%)34 817 (0.9%)2.73 (2.36–3.16)<.001182 (2.3%)140 (1.7%)1.31 (1.05–1.64).016
Mortality (30-day)178 (2.2%)55 954 (1.3%)1.63 (1.41–1.89)<.001178 (2.2%)153 (1.9%)1.17 (0.94–1.46).158
Mortality (90-day)274 (3.3%)75 795 (1.8%)1.87 (1.65–2.11)<.001274 (3.3%)224 (2.7%)1.22 (1.01–1.41).042
Mortality (overall)722 (8.7%)163 160 (4.0%)2.32 (2.14–2.50)<.001721 (8.7%)617 (7.5%)1.18 (1.06–1.33).003

Abbreviations: CI, confidence interval; HBV/SARS-CoV-2, individuals with HBV and SARS-CoV-2; ICU, intensive care unit; OR, odds ratio; SARS-CoV-2, individuals with SARS-CoV-2 without HBV.

Clinical Outcomes of SARS-CoV-2 in Sensitivity Analyses

After excluding cases of HIV, HCV, and organ transplants, individuals with HBV/SARS-CoV-2 (vs SARS-CoV-2 alone) still experienced higher odds of ICU admissions (OR, 1.33; 95% CI, 1.09–1.61; P = .004), mechanical ventilation (OR, 1.40; 95% CI, 1.03–1.91; P = .033), 90-day mortality (OR, 1.26; 95% CI, 1.01–1.59; P = .044), and overall mortality (OR, 1.31; 95% CI, 1.13–1.53; P < .001) (Table 4). The highest odds of adverse outcomes were observed in the subgroup of individuals with cirrhosis and HBV/SARS-CoV-2 (vs cirrhosis and SARS-CoV-2 alone), as follows: ICU admissions (OR, 2.50; 95% CI, 1.49–4.19; P < .001), mechanical ventilation (OR, 2.29; 95% CI, 1.08–4.87; P = .027), 30-day mortality (OR, 2.04; 95% CI, 1.11–3.76; P = .019), 90-day mortality (OR, 2.12; 95% CI, 1.28–3.49; P = .003), and overall mortality (OR, 2.21; 95% CI, 1.57–3.12; P < .001). Even among individuals with HBV/SARS-CoV-2 without cirrhosis, there were higher odds of mechanical ventilation (OR, 1.78; 95% CI, 1.21–2.62; P = .003) and overall mortality (OR, 1.18; 95% CI, 1.01–1.41; P = .048) compared with the SARS-CoV-2-only group.

Table 4.

Sensitivity Analyses of Clinical Outcomes in Subgroups Excluding HIV, HCV, Organ Transplants, or Cirrhosis

OutcomesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P ValueHBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P Value
Subgroup of All Cases (Excluding HIV, HCV, and Organ Transplants)
 Hospitalization287 (10.2%)325 135 (11.4%)0.88 (0.78–1.00).048287 (10.2%)396 (11.4%)0.89 (0.76–1.04).141
 Intensive care unit240 (4.2%)107 405 (2.8%)1.52 (1.34–1.74)<.001240 (4.2%)187 (3.2%)1.33 (1.09–1.61).004
 Mechanical ventilation99 (1.6%)29 726 (0.7%)2.16 (1.77–2.64)<.00196 (1.6%)69 (1.1%)1.40 (1.03–1.91).033
 Mortality (30-day)101 (1.6%)49 020 (1.2%)1.31 (1.07–1.59).008100 (1.6%)85 (1.4%)1.18 (0.88–1.58).267
 Mortality (90-day)175 (2.8%)66 811 (1.7%)1.67 (1.44–1.94)<.001172 (2.8%)137 (2.2%)1.26 (1.01–1.59).044
 Mortality (overall)418 (6.7%)142 479 (3.6%)1.91 (1.73–2.11)<.001415 (6.7%)321 (5.2%)1.31 (1.13–1.53)<.001
Subgroup of Cases With Cirrhosis (Excluding HIV, HCV, Organ Transplants)
 Hospitalization28 (13.7%)330 904 (11.9%)1.17 (0.79–1.75).43425 (13.2%)30 (9.9%)1.39 (0.79–2.44).255
 Intensive care unit51 (8.6%)114 744 (3.0%)3.04 (2.28–4.05)<.00149 (8.9%)22 (3.8%)2.50 (1.49–4.19)<.001
 Mechanical ventilation23 (3.3%)31 224 (0.8%)4.29 (2.82–6.51)<.00122 (3.4%)10 (1.5%)2.29 (1.08–4.87).027
 Mortality (30-day)33 (4.5%)52 969 (1.3%)3.51 (2.47–4.98)<.00132 (4.7%)16 (2.3%)2.04 (1.11–3.76).019
 Mortality (90-day)52 (7.1%)72 123 (1.8%)4.15 (3.13–5.51)<.00149 (7.2%)24 (3.5%)2.12 (1.28–3.49).003
 Mortality (overall)119 (16.3%)152 612 (3.8%)4.88 (4.01–5.94)<.001110 (16.3%)55 (8.1%)2.21 (1.57–3.12)<.001
Subgroup of Cases Without Cirrhosis (Excluding HIV, HCV, Organ Transplants)
 Hospitalization243 (9.0%)299 943 (10.6%)0.83 (0.72–0.95).006243 (9.0%)330 (10.4%)0.85 (0.72–1.01).071
 Intensive care unit171 (3.3%)102 096 (2.7%)1.25 (1.07–1.45).005171 (3.4%)168 (3.3%)1.02 (0.82–1.27).837
 Mechanical ventilation73 (1.3%)27 608 (0.7%)1.86 (1.47–2.35)<.00172 (1.3%)41 (0.8%)1.78 (1.21–2.62).003
 Mortality (30-day)74 (1.3%)51 653 (1.3%)1.05 (0.84–1.32).66174 (1.3%)71 (1.3%)1.04 (0.75–1.45).799
 Mortality (90-day)131 (2.4%)66 811 (1.7%)1.41 (1.18–1.68)<.001131 (2.4%)145 (2.6%)0.90 (0.71–1.14).388
 Mortality (overall)314 (5.6%)142 479 (3.6%)1.55 (1.38–1.74)<.001304 (5.6%)264 (4.8%)1.18 (1.01–1.41).048
OutcomesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P ValueHBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P Value
Subgroup of All Cases (Excluding HIV, HCV, and Organ Transplants)
 Hospitalization287 (10.2%)325 135 (11.4%)0.88 (0.78–1.00).048287 (10.2%)396 (11.4%)0.89 (0.76–1.04).141
 Intensive care unit240 (4.2%)107 405 (2.8%)1.52 (1.34–1.74)<.001240 (4.2%)187 (3.2%)1.33 (1.09–1.61).004
 Mechanical ventilation99 (1.6%)29 726 (0.7%)2.16 (1.77–2.64)<.00196 (1.6%)69 (1.1%)1.40 (1.03–1.91).033
 Mortality (30-day)101 (1.6%)49 020 (1.2%)1.31 (1.07–1.59).008100 (1.6%)85 (1.4%)1.18 (0.88–1.58).267
 Mortality (90-day)175 (2.8%)66 811 (1.7%)1.67 (1.44–1.94)<.001172 (2.8%)137 (2.2%)1.26 (1.01–1.59).044
 Mortality (overall)418 (6.7%)142 479 (3.6%)1.91 (1.73–2.11)<.001415 (6.7%)321 (5.2%)1.31 (1.13–1.53)<.001
Subgroup of Cases With Cirrhosis (Excluding HIV, HCV, Organ Transplants)
 Hospitalization28 (13.7%)330 904 (11.9%)1.17 (0.79–1.75).43425 (13.2%)30 (9.9%)1.39 (0.79–2.44).255
 Intensive care unit51 (8.6%)114 744 (3.0%)3.04 (2.28–4.05)<.00149 (8.9%)22 (3.8%)2.50 (1.49–4.19)<.001
 Mechanical ventilation23 (3.3%)31 224 (0.8%)4.29 (2.82–6.51)<.00122 (3.4%)10 (1.5%)2.29 (1.08–4.87).027
 Mortality (30-day)33 (4.5%)52 969 (1.3%)3.51 (2.47–4.98)<.00132 (4.7%)16 (2.3%)2.04 (1.11–3.76).019
 Mortality (90-day)52 (7.1%)72 123 (1.8%)4.15 (3.13–5.51)<.00149 (7.2%)24 (3.5%)2.12 (1.28–3.49).003
 Mortality (overall)119 (16.3%)152 612 (3.8%)4.88 (4.01–5.94)<.001110 (16.3%)55 (8.1%)2.21 (1.57–3.12)<.001
Subgroup of Cases Without Cirrhosis (Excluding HIV, HCV, Organ Transplants)
 Hospitalization243 (9.0%)299 943 (10.6%)0.83 (0.72–0.95).006243 (9.0%)330 (10.4%)0.85 (0.72–1.01).071
 Intensive care unit171 (3.3%)102 096 (2.7%)1.25 (1.07–1.45).005171 (3.4%)168 (3.3%)1.02 (0.82–1.27).837
 Mechanical ventilation73 (1.3%)27 608 (0.7%)1.86 (1.47–2.35)<.00172 (1.3%)41 (0.8%)1.78 (1.21–2.62).003
 Mortality (30-day)74 (1.3%)51 653 (1.3%)1.05 (0.84–1.32).66174 (1.3%)71 (1.3%)1.04 (0.75–1.45).799
 Mortality (90-day)131 (2.4%)66 811 (1.7%)1.41 (1.18–1.68)<.001131 (2.4%)145 (2.6%)0.90 (0.71–1.14).388
 Mortality (overall)314 (5.6%)142 479 (3.6%)1.55 (1.38–1.74)<.001304 (5.6%)264 (4.8%)1.18 (1.01–1.41).048

Abbreviations: CI, confidence interval; HBV/SARS-CoV-2, individuals with HBV and SARS-CoV-2; ICU, intensive care unit; OR, odds ratio; SARS-CoV-2, individuals with SARS-CoV-2 without HBV.

Table 4.

Sensitivity Analyses of Clinical Outcomes in Subgroups Excluding HIV, HCV, Organ Transplants, or Cirrhosis

OutcomesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P ValueHBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P Value
Subgroup of All Cases (Excluding HIV, HCV, and Organ Transplants)
 Hospitalization287 (10.2%)325 135 (11.4%)0.88 (0.78–1.00).048287 (10.2%)396 (11.4%)0.89 (0.76–1.04).141
 Intensive care unit240 (4.2%)107 405 (2.8%)1.52 (1.34–1.74)<.001240 (4.2%)187 (3.2%)1.33 (1.09–1.61).004
 Mechanical ventilation99 (1.6%)29 726 (0.7%)2.16 (1.77–2.64)<.00196 (1.6%)69 (1.1%)1.40 (1.03–1.91).033
 Mortality (30-day)101 (1.6%)49 020 (1.2%)1.31 (1.07–1.59).008100 (1.6%)85 (1.4%)1.18 (0.88–1.58).267
 Mortality (90-day)175 (2.8%)66 811 (1.7%)1.67 (1.44–1.94)<.001172 (2.8%)137 (2.2%)1.26 (1.01–1.59).044
 Mortality (overall)418 (6.7%)142 479 (3.6%)1.91 (1.73–2.11)<.001415 (6.7%)321 (5.2%)1.31 (1.13–1.53)<.001
Subgroup of Cases With Cirrhosis (Excluding HIV, HCV, Organ Transplants)
 Hospitalization28 (13.7%)330 904 (11.9%)1.17 (0.79–1.75).43425 (13.2%)30 (9.9%)1.39 (0.79–2.44).255
 Intensive care unit51 (8.6%)114 744 (3.0%)3.04 (2.28–4.05)<.00149 (8.9%)22 (3.8%)2.50 (1.49–4.19)<.001
 Mechanical ventilation23 (3.3%)31 224 (0.8%)4.29 (2.82–6.51)<.00122 (3.4%)10 (1.5%)2.29 (1.08–4.87).027
 Mortality (30-day)33 (4.5%)52 969 (1.3%)3.51 (2.47–4.98)<.00132 (4.7%)16 (2.3%)2.04 (1.11–3.76).019
 Mortality (90-day)52 (7.1%)72 123 (1.8%)4.15 (3.13–5.51)<.00149 (7.2%)24 (3.5%)2.12 (1.28–3.49).003
 Mortality (overall)119 (16.3%)152 612 (3.8%)4.88 (4.01–5.94)<.001110 (16.3%)55 (8.1%)2.21 (1.57–3.12)<.001
Subgroup of Cases Without Cirrhosis (Excluding HIV, HCV, Organ Transplants)
 Hospitalization243 (9.0%)299 943 (10.6%)0.83 (0.72–0.95).006243 (9.0%)330 (10.4%)0.85 (0.72–1.01).071
 Intensive care unit171 (3.3%)102 096 (2.7%)1.25 (1.07–1.45).005171 (3.4%)168 (3.3%)1.02 (0.82–1.27).837
 Mechanical ventilation73 (1.3%)27 608 (0.7%)1.86 (1.47–2.35)<.00172 (1.3%)41 (0.8%)1.78 (1.21–2.62).003
 Mortality (30-day)74 (1.3%)51 653 (1.3%)1.05 (0.84–1.32).66174 (1.3%)71 (1.3%)1.04 (0.75–1.45).799
 Mortality (90-day)131 (2.4%)66 811 (1.7%)1.41 (1.18–1.68)<.001131 (2.4%)145 (2.6%)0.90 (0.71–1.14).388
 Mortality (overall)314 (5.6%)142 479 (3.6%)1.55 (1.38–1.74)<.001304 (5.6%)264 (4.8%)1.18 (1.01–1.41).048
OutcomesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P ValueHBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P Value
Subgroup of All Cases (Excluding HIV, HCV, and Organ Transplants)
 Hospitalization287 (10.2%)325 135 (11.4%)0.88 (0.78–1.00).048287 (10.2%)396 (11.4%)0.89 (0.76–1.04).141
 Intensive care unit240 (4.2%)107 405 (2.8%)1.52 (1.34–1.74)<.001240 (4.2%)187 (3.2%)1.33 (1.09–1.61).004
 Mechanical ventilation99 (1.6%)29 726 (0.7%)2.16 (1.77–2.64)<.00196 (1.6%)69 (1.1%)1.40 (1.03–1.91).033
 Mortality (30-day)101 (1.6%)49 020 (1.2%)1.31 (1.07–1.59).008100 (1.6%)85 (1.4%)1.18 (0.88–1.58).267
 Mortality (90-day)175 (2.8%)66 811 (1.7%)1.67 (1.44–1.94)<.001172 (2.8%)137 (2.2%)1.26 (1.01–1.59).044
 Mortality (overall)418 (6.7%)142 479 (3.6%)1.91 (1.73–2.11)<.001415 (6.7%)321 (5.2%)1.31 (1.13–1.53)<.001
Subgroup of Cases With Cirrhosis (Excluding HIV, HCV, Organ Transplants)
 Hospitalization28 (13.7%)330 904 (11.9%)1.17 (0.79–1.75).43425 (13.2%)30 (9.9%)1.39 (0.79–2.44).255
 Intensive care unit51 (8.6%)114 744 (3.0%)3.04 (2.28–4.05)<.00149 (8.9%)22 (3.8%)2.50 (1.49–4.19)<.001
 Mechanical ventilation23 (3.3%)31 224 (0.8%)4.29 (2.82–6.51)<.00122 (3.4%)10 (1.5%)2.29 (1.08–4.87).027
 Mortality (30-day)33 (4.5%)52 969 (1.3%)3.51 (2.47–4.98)<.00132 (4.7%)16 (2.3%)2.04 (1.11–3.76).019
 Mortality (90-day)52 (7.1%)72 123 (1.8%)4.15 (3.13–5.51)<.00149 (7.2%)24 (3.5%)2.12 (1.28–3.49).003
 Mortality (overall)119 (16.3%)152 612 (3.8%)4.88 (4.01–5.94)<.001110 (16.3%)55 (8.1%)2.21 (1.57–3.12)<.001
Subgroup of Cases Without Cirrhosis (Excluding HIV, HCV, Organ Transplants)
 Hospitalization243 (9.0%)299 943 (10.6%)0.83 (0.72–0.95).006243 (9.0%)330 (10.4%)0.85 (0.72–1.01).071
 Intensive care unit171 (3.3%)102 096 (2.7%)1.25 (1.07–1.45).005171 (3.4%)168 (3.3%)1.02 (0.82–1.27).837
 Mechanical ventilation73 (1.3%)27 608 (0.7%)1.86 (1.47–2.35)<.00172 (1.3%)41 (0.8%)1.78 (1.21–2.62).003
 Mortality (30-day)74 (1.3%)51 653 (1.3%)1.05 (0.84–1.32).66174 (1.3%)71 (1.3%)1.04 (0.75–1.45).799
 Mortality (90-day)131 (2.4%)66 811 (1.7%)1.41 (1.18–1.68)<.001131 (2.4%)145 (2.6%)0.90 (0.71–1.14).388
 Mortality (overall)314 (5.6%)142 479 (3.6%)1.55 (1.38–1.74)<.001304 (5.6%)264 (4.8%)1.18 (1.01–1.41).048

Abbreviations: CI, confidence interval; HBV/SARS-CoV-2, individuals with HBV and SARS-CoV-2; ICU, intensive care unit; OR, odds ratio; SARS-CoV-2, individuals with SARS-CoV-2 without HBV.

Impact of SARS-Cov-2 Vaccination on Clinical Outcomes

At baseline, the SARS-CoV-2 vaccination rates were higher among individuals with HBVSARS-CoV-2 than in their SARS-CoV-2-only counterparts (21.4% vs 10.8%, P < .001) (Table 1). In subgroup analysis of the primary HBV/SARS-CoV-2 cohort, there were similar rates of hospitalization (12.2% vs 10.1%), mechanical ventilation (2.7% vs 2.4%), and ICU admissions (7.2% vs 7.0%) (Table 5); however, those in the HBV/SARS-CoV-2 group had lower rates of 30-day mortality (1.2% vs 2.8%), 90-day mortality (2.1% vs 4.6%) and overall mortality (7.9% vs 10.9%). After propensity score matching, vaccinated individuals with HBV/SARS-CoV-2 remained at lower odds of 30-day mortality (OR, 0.43; 95% CI, .27–.69; P < .001), 90-day mortality (OR, 0.46; 95% CI, .32–.65; P < .001), and overall mortality (OR, 0.71; 95% CI, .58–.87; P = .001).

Table 5.

Clinical Outcomes of HBV/SARS-CoV-2 by SARS-CoV-2 Vaccination Status

OutcomesBefore MatchingAfter Matching
HBV/SARS-CoV-2 + VaccinatedHBV/SARS-CoV-2+
Not Vaccinated
OR (95% CI)P ValueHBV/SARS-CoV-2+
Vaccinated
HBV/SARS-CoV-2+
Not Vaccinated
OR (95% CI)P Value
Hospitalization46 (10·8%)231 (9·3%)1·18 (.84–1·65).33946 (10·8%)41 (7·9%)1·40 (.90–2·18).133
Mechanical ventilation27 (1·9%)87 (1·4%)1·35 (.88–2·09).17127 (2·0%)19 (1·4%)1·42 (.79–2·56).245
Intensive care unit75 (6·6%)246 (4·6%)1·48 (1·13–1·93).00474 (6·5%)57 (4·7%)1·40 (.92–2·01).089
Mortality (30-day)19 (1·3%)174 (2·8%)0·46 (.29-.75).00118 (1·3%)46 (3·3%)0·38 (.22-.66)<.001
Mortality (90-day)35 (2·4%)258 (4·2%)0·58 (.40-.82).00234 (2·4%)71 (5·0%)0·46 (.31-.70)<.001
Mortality (overall)76 (5·3%)468 (7·6%)0·68 (.53-.88).00374 (5·2%)125 (8·9%)0·56 (.42-.76)<.001
OutcomesBefore MatchingAfter Matching
HBV/SARS-CoV-2 + VaccinatedHBV/SARS-CoV-2+
Not Vaccinated
OR (95% CI)P ValueHBV/SARS-CoV-2+
Vaccinated
HBV/SARS-CoV-2+
Not Vaccinated
OR (95% CI)P Value
Hospitalization46 (10·8%)231 (9·3%)1·18 (.84–1·65).33946 (10·8%)41 (7·9%)1·40 (.90–2·18).133
Mechanical ventilation27 (1·9%)87 (1·4%)1·35 (.88–2·09).17127 (2·0%)19 (1·4%)1·42 (.79–2·56).245
Intensive care unit75 (6·6%)246 (4·6%)1·48 (1·13–1·93).00474 (6·5%)57 (4·7%)1·40 (.92–2·01).089
Mortality (30-day)19 (1·3%)174 (2·8%)0·46 (.29-.75).00118 (1·3%)46 (3·3%)0·38 (.22-.66)<.001
Mortality (90-day)35 (2·4%)258 (4·2%)0·58 (.40-.82).00234 (2·4%)71 (5·0%)0·46 (.31-.70)<.001
Mortality (overall)76 (5·3%)468 (7·6%)0·68 (.53-.88).00374 (5·2%)125 (8·9%)0·56 (.42-.76)<.001

Abbreviations: CI, confidence interval; HBV/SARS-CoV-2; individuals with HBV and SARS-CoV-2; ICU, intensive care unit; OR, odds ratio; SARS-CoV-2, individuals with SARS-CoV-2 without HBV.

Table 5.

Clinical Outcomes of HBV/SARS-CoV-2 by SARS-CoV-2 Vaccination Status

OutcomesBefore MatchingAfter Matching
HBV/SARS-CoV-2 + VaccinatedHBV/SARS-CoV-2+
Not Vaccinated
OR (95% CI)P ValueHBV/SARS-CoV-2+
Vaccinated
HBV/SARS-CoV-2+
Not Vaccinated
OR (95% CI)P Value
Hospitalization46 (10·8%)231 (9·3%)1·18 (.84–1·65).33946 (10·8%)41 (7·9%)1·40 (.90–2·18).133
Mechanical ventilation27 (1·9%)87 (1·4%)1·35 (.88–2·09).17127 (2·0%)19 (1·4%)1·42 (.79–2·56).245
Intensive care unit75 (6·6%)246 (4·6%)1·48 (1·13–1·93).00474 (6·5%)57 (4·7%)1·40 (.92–2·01).089
Mortality (30-day)19 (1·3%)174 (2·8%)0·46 (.29-.75).00118 (1·3%)46 (3·3%)0·38 (.22-.66)<.001
Mortality (90-day)35 (2·4%)258 (4·2%)0·58 (.40-.82).00234 (2·4%)71 (5·0%)0·46 (.31-.70)<.001
Mortality (overall)76 (5·3%)468 (7·6%)0·68 (.53-.88).00374 (5·2%)125 (8·9%)0·56 (.42-.76)<.001
OutcomesBefore MatchingAfter Matching
HBV/SARS-CoV-2 + VaccinatedHBV/SARS-CoV-2+
Not Vaccinated
OR (95% CI)P ValueHBV/SARS-CoV-2+
Vaccinated
HBV/SARS-CoV-2+
Not Vaccinated
OR (95% CI)P Value
Hospitalization46 (10·8%)231 (9·3%)1·18 (.84–1·65).33946 (10·8%)41 (7·9%)1·40 (.90–2·18).133
Mechanical ventilation27 (1·9%)87 (1·4%)1·35 (.88–2·09).17127 (2·0%)19 (1·4%)1·42 (.79–2·56).245
Intensive care unit75 (6·6%)246 (4·6%)1·48 (1·13–1·93).00474 (6·5%)57 (4·7%)1·40 (.92–2·01).089
Mortality (30-day)19 (1·3%)174 (2·8%)0·46 (.29-.75).00118 (1·3%)46 (3·3%)0·38 (.22-.66)<.001
Mortality (90-day)35 (2·4%)258 (4·2%)0·58 (.40-.82).00234 (2·4%)71 (5·0%)0·46 (.31-.70)<.001
Mortality (overall)76 (5·3%)468 (7·6%)0·68 (.53-.88).00374 (5·2%)125 (8·9%)0·56 (.42-.76)<.001

Abbreviations: CI, confidence interval; HBV/SARS-CoV-2; individuals with HBV and SARS-CoV-2; ICU, intensive care unit; OR, odds ratio; SARS-CoV-2, individuals with SARS-CoV-2 without HBV.

Impact of SARS-CoV-2 Variant Periods on Clinical Outcomes

Individuals with HBV/SARS-CoV-2 had higher odds of hospitalizations (OR, 1.41; 95% CI, 1.02–2.24; P = .036) during the pre-Delta versus Omicron variant waves (Table 6). Otherwise, there were no significant differences in outcomes differences in outcomes between the pre-Delta-Delta and Delta-Omicron dominance periods after matching.

Table 6.

Clinical Outcomes by SARS-CoV-2 Variant Period

OutcomesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P ValueHBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P Value
Pre-Delta versus Delta Variant Periods (1 January 2020–30 June 2021)
 Hospitalization205 (10.2%)102 (8.8%)1.17 (.91–1.50).22496 (8.6%)86 (8.1%)1.08 (.80–1.46).624
 Intensive care unit210 (5.2%)80 (3.2%)1.62 (1.25–2.11)<.00194 (4.1%)77 (3.3%)1.23 (.91–1.68).180
 Mechanical ventilation94 (2.1%)42 (1.6%)1.33 (.92–1.93).12444 (1.8%)40 (1.6%)1.10 (.72–1.70).660
 Mortality (30-day)95 (2.0%)41 (1.5%)1.38 (.95–1.99).08849 (1.8%)41 (1.5%)1.20 (.79–1.82).392
 Mortality (90-day)149 (3.2%)76 (2.7%)1.16 (.88–1.54).28981 (2.9%)76 (2.7%)1.07 (.78–1.47).684
 Mortality (overall)376 (8.0%)179 (6.5%)1.26 (1.05–1.52).013174 (6.7%)167 (6.5%)1.05 (.84–1.31).670
Pre-Delta versus Omicron Variant Periods (1 July 2021–Nov 30, 2021)
 Hospitalization193 (2.0%)117 (1.2%)1.48 (1.04–2.47).003143 (2.0%)101 (1.3%)1.41 (1.02–2.24).036
 Intensive care unit206 (5.2%)127 (3.7%)1.45 (1.15–1.18).001140 (4.5%)120 (3.8%)1.17 (.91–1.50).210
 Mechanical ventilation94 (2.2%)50 (1.3%)1.64 (1.16–2.31).00565 (1.9%)46 (1.3%)1.42 (.97–2.2.08).070
 Mortality (30-day)105 (2.1%)77 (1.9%)1.15 (.85–1.54).37169 (1.9%)69 (1.9%)1.00 (.72–1.40).995
 Mortality (90-day)147 (3.2%)130 (3.3%)0.97 (.76–1.23).788109 (3.1%)113 (3.2%)0.97 (.74–1.26).798
 Mortality (overall)368 (8.1%)285 (7.3%)1.12 (.95–1.31).183266 (7.5%)260 (73%)1.03 (.86–1.23).765
Delta versus Omicron Variant Periods (1 December 2021–15 August 2023)
 Hospitalization94 (8.2%)118 (8.0%)1.03 (.77–1.36).86492 (8.0%)76 (7.2%)1.14 (.83–1.56).430
 Intensive care unit82 (3.3%)134 (3.8%)0.88 (.66–1.16).35281 (3.3%)85 (3.5%)0.95 (.70–1.30).756
 Mechanical ventilation43 (1.6%)54(1.4%)1.16 (.77–1.73).48443 (1.6%)34 (1.3%)1.27 (.81–1.99).306
 Mortality (30-day)44 (1.6%)77 (1.9%)0.82 (.57–1.19).30344 (1.6%)43 (1.6%)1.02 (.67–1.56).921
 Mortality (90-day)81 (2.9%)136 (3.4%)0.86 (.65–1.13).27481 (2.9%)76 (2.7%)1.07 (.78–1.46).694
 Mortality (overall)185 (6.6%)297 (7.4%)0.89 (.74–1.08).239185 (6.7%)185 (6.7%)1.00 (.80–1.23).986
OutcomesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P ValueHBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P Value
Pre-Delta versus Delta Variant Periods (1 January 2020–30 June 2021)
 Hospitalization205 (10.2%)102 (8.8%)1.17 (.91–1.50).22496 (8.6%)86 (8.1%)1.08 (.80–1.46).624
 Intensive care unit210 (5.2%)80 (3.2%)1.62 (1.25–2.11)<.00194 (4.1%)77 (3.3%)1.23 (.91–1.68).180
 Mechanical ventilation94 (2.1%)42 (1.6%)1.33 (.92–1.93).12444 (1.8%)40 (1.6%)1.10 (.72–1.70).660
 Mortality (30-day)95 (2.0%)41 (1.5%)1.38 (.95–1.99).08849 (1.8%)41 (1.5%)1.20 (.79–1.82).392
 Mortality (90-day)149 (3.2%)76 (2.7%)1.16 (.88–1.54).28981 (2.9%)76 (2.7%)1.07 (.78–1.47).684
 Mortality (overall)376 (8.0%)179 (6.5%)1.26 (1.05–1.52).013174 (6.7%)167 (6.5%)1.05 (.84–1.31).670
Pre-Delta versus Omicron Variant Periods (1 July 2021–Nov 30, 2021)
 Hospitalization193 (2.0%)117 (1.2%)1.48 (1.04–2.47).003143 (2.0%)101 (1.3%)1.41 (1.02–2.24).036
 Intensive care unit206 (5.2%)127 (3.7%)1.45 (1.15–1.18).001140 (4.5%)120 (3.8%)1.17 (.91–1.50).210
 Mechanical ventilation94 (2.2%)50 (1.3%)1.64 (1.16–2.31).00565 (1.9%)46 (1.3%)1.42 (.97–2.2.08).070
 Mortality (30-day)105 (2.1%)77 (1.9%)1.15 (.85–1.54).37169 (1.9%)69 (1.9%)1.00 (.72–1.40).995
 Mortality (90-day)147 (3.2%)130 (3.3%)0.97 (.76–1.23).788109 (3.1%)113 (3.2%)0.97 (.74–1.26).798
 Mortality (overall)368 (8.1%)285 (7.3%)1.12 (.95–1.31).183266 (7.5%)260 (73%)1.03 (.86–1.23).765
Delta versus Omicron Variant Periods (1 December 2021–15 August 2023)
 Hospitalization94 (8.2%)118 (8.0%)1.03 (.77–1.36).86492 (8.0%)76 (7.2%)1.14 (.83–1.56).430
 Intensive care unit82 (3.3%)134 (3.8%)0.88 (.66–1.16).35281 (3.3%)85 (3.5%)0.95 (.70–1.30).756
 Mechanical ventilation43 (1.6%)54(1.4%)1.16 (.77–1.73).48443 (1.6%)34 (1.3%)1.27 (.81–1.99).306
 Mortality (30-day)44 (1.6%)77 (1.9%)0.82 (.57–1.19).30344 (1.6%)43 (1.6%)1.02 (.67–1.56).921
 Mortality (90-day)81 (2.9%)136 (3.4%)0.86 (.65–1.13).27481 (2.9%)76 (2.7%)1.07 (.78–1.46).694
 Mortality (overall)185 (6.6%)297 (7.4%)0.89 (.74–1.08).239185 (6.7%)185 (6.7%)1.00 (.80–1.23).986

Abbreviations: CI, confidence interval; HBV/SARS-CoV-2, individuals with HBV and SARS-CoV-2; ICU, intensive care unit; OR, odds ratio; SARS-CoV-2, individuals with SARS-CoV-2 without HBV.

Table 6.

Clinical Outcomes by SARS-CoV-2 Variant Period

OutcomesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P ValueHBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P Value
Pre-Delta versus Delta Variant Periods (1 January 2020–30 June 2021)
 Hospitalization205 (10.2%)102 (8.8%)1.17 (.91–1.50).22496 (8.6%)86 (8.1%)1.08 (.80–1.46).624
 Intensive care unit210 (5.2%)80 (3.2%)1.62 (1.25–2.11)<.00194 (4.1%)77 (3.3%)1.23 (.91–1.68).180
 Mechanical ventilation94 (2.1%)42 (1.6%)1.33 (.92–1.93).12444 (1.8%)40 (1.6%)1.10 (.72–1.70).660
 Mortality (30-day)95 (2.0%)41 (1.5%)1.38 (.95–1.99).08849 (1.8%)41 (1.5%)1.20 (.79–1.82).392
 Mortality (90-day)149 (3.2%)76 (2.7%)1.16 (.88–1.54).28981 (2.9%)76 (2.7%)1.07 (.78–1.47).684
 Mortality (overall)376 (8.0%)179 (6.5%)1.26 (1.05–1.52).013174 (6.7%)167 (6.5%)1.05 (.84–1.31).670
Pre-Delta versus Omicron Variant Periods (1 July 2021–Nov 30, 2021)
 Hospitalization193 (2.0%)117 (1.2%)1.48 (1.04–2.47).003143 (2.0%)101 (1.3%)1.41 (1.02–2.24).036
 Intensive care unit206 (5.2%)127 (3.7%)1.45 (1.15–1.18).001140 (4.5%)120 (3.8%)1.17 (.91–1.50).210
 Mechanical ventilation94 (2.2%)50 (1.3%)1.64 (1.16–2.31).00565 (1.9%)46 (1.3%)1.42 (.97–2.2.08).070
 Mortality (30-day)105 (2.1%)77 (1.9%)1.15 (.85–1.54).37169 (1.9%)69 (1.9%)1.00 (.72–1.40).995
 Mortality (90-day)147 (3.2%)130 (3.3%)0.97 (.76–1.23).788109 (3.1%)113 (3.2%)0.97 (.74–1.26).798
 Mortality (overall)368 (8.1%)285 (7.3%)1.12 (.95–1.31).183266 (7.5%)260 (73%)1.03 (.86–1.23).765
Delta versus Omicron Variant Periods (1 December 2021–15 August 2023)
 Hospitalization94 (8.2%)118 (8.0%)1.03 (.77–1.36).86492 (8.0%)76 (7.2%)1.14 (.83–1.56).430
 Intensive care unit82 (3.3%)134 (3.8%)0.88 (.66–1.16).35281 (3.3%)85 (3.5%)0.95 (.70–1.30).756
 Mechanical ventilation43 (1.6%)54(1.4%)1.16 (.77–1.73).48443 (1.6%)34 (1.3%)1.27 (.81–1.99).306
 Mortality (30-day)44 (1.6%)77 (1.9%)0.82 (.57–1.19).30344 (1.6%)43 (1.6%)1.02 (.67–1.56).921
 Mortality (90-day)81 (2.9%)136 (3.4%)0.86 (.65–1.13).27481 (2.9%)76 (2.7%)1.07 (.78–1.46).694
 Mortality (overall)185 (6.6%)297 (7.4%)0.89 (.74–1.08).239185 (6.7%)185 (6.7%)1.00 (.80–1.23).986
OutcomesBefore MatchingAfter Matching
HBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P ValueHBV/SARS-CoV-2SARS-CoV-2OR (95% CI)P Value
Pre-Delta versus Delta Variant Periods (1 January 2020–30 June 2021)
 Hospitalization205 (10.2%)102 (8.8%)1.17 (.91–1.50).22496 (8.6%)86 (8.1%)1.08 (.80–1.46).624
 Intensive care unit210 (5.2%)80 (3.2%)1.62 (1.25–2.11)<.00194 (4.1%)77 (3.3%)1.23 (.91–1.68).180
 Mechanical ventilation94 (2.1%)42 (1.6%)1.33 (.92–1.93).12444 (1.8%)40 (1.6%)1.10 (.72–1.70).660
 Mortality (30-day)95 (2.0%)41 (1.5%)1.38 (.95–1.99).08849 (1.8%)41 (1.5%)1.20 (.79–1.82).392
 Mortality (90-day)149 (3.2%)76 (2.7%)1.16 (.88–1.54).28981 (2.9%)76 (2.7%)1.07 (.78–1.47).684
 Mortality (overall)376 (8.0%)179 (6.5%)1.26 (1.05–1.52).013174 (6.7%)167 (6.5%)1.05 (.84–1.31).670
Pre-Delta versus Omicron Variant Periods (1 July 2021–Nov 30, 2021)
 Hospitalization193 (2.0%)117 (1.2%)1.48 (1.04–2.47).003143 (2.0%)101 (1.3%)1.41 (1.02–2.24).036
 Intensive care unit206 (5.2%)127 (3.7%)1.45 (1.15–1.18).001140 (4.5%)120 (3.8%)1.17 (.91–1.50).210
 Mechanical ventilation94 (2.2%)50 (1.3%)1.64 (1.16–2.31).00565 (1.9%)46 (1.3%)1.42 (.97–2.2.08).070
 Mortality (30-day)105 (2.1%)77 (1.9%)1.15 (.85–1.54).37169 (1.9%)69 (1.9%)1.00 (.72–1.40).995
 Mortality (90-day)147 (3.2%)130 (3.3%)0.97 (.76–1.23).788109 (3.1%)113 (3.2%)0.97 (.74–1.26).798
 Mortality (overall)368 (8.1%)285 (7.3%)1.12 (.95–1.31).183266 (7.5%)260 (73%)1.03 (.86–1.23).765
Delta versus Omicron Variant Periods (1 December 2021–15 August 2023)
 Hospitalization94 (8.2%)118 (8.0%)1.03 (.77–1.36).86492 (8.0%)76 (7.2%)1.14 (.83–1.56).430
 Intensive care unit82 (3.3%)134 (3.8%)0.88 (.66–1.16).35281 (3.3%)85 (3.5%)0.95 (.70–1.30).756
 Mechanical ventilation43 (1.6%)54(1.4%)1.16 (.77–1.73).48443 (1.6%)34 (1.3%)1.27 (.81–1.99).306
 Mortality (30-day)44 (1.6%)77 (1.9%)0.82 (.57–1.19).30344 (1.6%)43 (1.6%)1.02 (.67–1.56).921
 Mortality (90-day)81 (2.9%)136 (3.4%)0.86 (.65–1.13).27481 (2.9%)76 (2.7%)1.07 (.78–1.46).694
 Mortality (overall)185 (6.6%)297 (7.4%)0.89 (.74–1.08).239185 (6.7%)185 (6.7%)1.00 (.80–1.23).986

Abbreviations: CI, confidence interval; HBV/SARS-CoV-2, individuals with HBV and SARS-CoV-2; ICU, intensive care unit; OR, odds ratio; SARS-CoV-2, individuals with SARS-CoV-2 without HBV.

DISCUSSIONS

This multicenter study in the United States represents 1 of the largest investigations to comprehensively characterize SARS-CoV-2 outcomes in individuals with underlying chronic HBV infection specifically, compared to previous studies that have focused on chronic liver disease of multiple etiologies [4–7]. Our findings revealed that individuals with chronic HBV experienced higher odds of adverse SARS-CoV-2 outcomes, including ICU admissions, mechanical ventilation, and death. The results corroborate previous studies in regions with higher HBV endemicity [8, 9]. In the United States, approximately 1.6 million individuals live with chronic HBV infection, amounting to about 0.65% of the adult population [17]. Recent years have witnessed an increase in HBV transmission in the United States, especially among individuals who use drugs and those at risk of sexual transmission [18]. Considering the escalating public health challenge posed by both the HBV and COVID-19 pandemics, our findings may have significant implications for dually infected individuals and for public health efforts aimed at addressing both epidemics.

Our analysis of baseline characteristics showed that, compared with individuals with SARS-CoV-2 alone, those with HBV/SARS-CoV-2 had a 2- to 10-fold higher prevalence of comorbid conditions and lifestyle-associated risk factors. These included older age, overweight/obesity, cirrhosis and other disease of liver, cardiovascular diseases, diabetes, chronic lung diseases, chronic kidney diseases, malignancies, organ transplants, nicotine-related disorders, and alcohol-related disorders. Moreover, the HIV and HCV coinfection rates were more than 20- and 30-fold higher, respectively, in this group compared with the SARS-CoV-2–only group. These comorbidities are recognized as major contributors to severe outcomes in SARS-CoV-2 infection, including death and the postacute sequelae of SARS-CoV-2 [19–23].

Following propensity score matching, the disparity in most comorbidities between the groups was eliminated, including overall chronic liver disease; however, individuals with HBV/SARS-CoV-2 remained significantly more likely to have cirrhosis. Sensitivity analyses further confirmed that individuals with HBV/SARS-CoV-2 and concomitant cirrhosis had 2.0- to 2.5-fold higher odds of poor outcomes compared to the SARS-CoV-2–only group. These findings are consistent with previous studies that have identified cirrhosis specifically as a major determinant of SARS-CoV-2 severity and outcomes [4–7]. Notably, despite no observed differences in 30-day and 90-day mortality for individuals with HBV/SARS-CoV-2 without cirrhosis, we observed increased odds of adverse outcomes, specifically mechanical ventilation and all-cause mortality, when compared to the SARS-CoV-2-only cohort. This suggests a role for HBV-specific mechanisms likely related to chronic proinflammatory responses and immune dysregulation [24, 25]. Although these effects are likely to be primarily hepatic, they may extend to extrahepatic tissues and potentially work in synergy with the SARS-CoV-2–induced cytokine storm, contributing to the high rates of end-organ damage observed in SARS-CoV-2 disease [24, 25].

Laboratory abnormalities are well-recognized in COVID-19, particularly in individuals with underlying liver disease, and often reflect multiorgan dysfunction in severe cases [26, 27]. In the subset of individuals with baseline laboratory data obtained within 30 days after SARS-CoV-2 diagnosis, those with HBV/SARS-CoV-2 coinfection were significantly more likely to have anemia, thrombocytopenia, renal impairment, hyperglycemia, coagulopathy, dyslipidemia, alveolar damage (evidenced by elevated lactate dehydrogenase), and hepatic injury (indicated by elevated liver function tests) compared to the SARS-CoV-2–only cohort. Of particular interest, abnormalities in liver enzymes are recognized as a feature of severe SARS-CoV-2, with studies reporting between 14.8% and 53% of individuals with moderate or severe SARS-CoV-2 show abnormalities in liver enzymes during the acute phase of the illness [28]. A study from China showed that after 2 weeks of hospitalization, individuals with SARS-CoV-2 with abnormal liver function tests increased to 76.3% [29]. In the present study, individuals with chronic HBV infection comparatively had significantly higher levels of liver transaminases, hyperbilirubinemia, and hypoalbuminemia. However, these findings likely represent a subgroup of hospitalized individuals or those with more severe SARS-CoV-2 or HBV disease, as opposed to individuals with milder illness managed in outpatient settings. This nuance is critical for contextualizing the results within the broader spectrum of COVID-19 severity.

The etiology of hepatic injury in SARS-CoV-2 in the context of underlying HBV infection may involve multiple pathophysiologic processes. First, studies have confirmed the hepatotropism of SARS-CoV-2, with its cellular receptor ACE2 abundantly expressed on hepatocytes, Kupffer cells, hepatic endothelial cells, and cholangiocytes [3], suggesting a direct viral cytopathic effect in SARS-CoV-2–induced liver injury [3, 10]. Upon entry into the cell, SARS-CoV-2 activates mTOR signaling and impairs autophagy, which results in immune evasion and liver injury through mitochondrial dysfunction and oxidative stress [30, 31]. Second, drug-induced liver injury has been reported in 10% to 63% of cases resulting from a wide array of drugs used in the management of SARS-CoV-2, including antivirals (eg, remdesivir, lopinavir-ritonavir), corticosteroids (eg, dexamethasone, methylprednisolone), monoclonal antibodies (eg, tocilizumab, tofacitinib), nonsteroidal anti-inflammatory drugs, and antibiotics [12, 32, 33]. Third, several studies have reported HBV reactivation in SARS-CoV-2 infection, with higher rates observed in individuals with positive hepatitis B surface antigen compared to those with negative hepatitis B surface antigen/hepatitis B core antibody test–positive status [13]. This phenomenon appears to be linked to immunosuppressants such as corticosteroids (especially methylprednisolone) and tocilizumab [13, 33–35]. Consequently, HBV screening and antiviral prophylaxis with tenofovir or entecavir have been suggested for high-risk individuals before receiving high-dose immunosuppressants in SARS-CoV-2 disease [35, 36]. Of note, individuals in the HBV/SARS-CoV-2 group were significantly more likely to be treated with corticosteroids and other SARS-CoV-2 treatments compared to those with SARS-CoV-2 only, which could have contributed to liver damage and the poor clinical outcomes observed in this group.

Furthermore, individuals with HBV/SARS-CoV-2 in our study had significantly higher levels of systemic inflammatory markers, such as CRP, ESR, ferritin, and procalcitonin, but not IL-6 levels. In severe SARS-CoV-2 infection, the activation of host SARS-CoV-2–specific CD4+/CD8+ T-cell responses leads to the overproduction of the pro-inflammatory cytokines IL-1, IL-6, and tumor necrosis factor-α, which are the main drivers of the viral cytokine storm [11]. In particular, IL-6 has been linked to severe hepatic injury and is correlated with poor prognosis in severe SARS-CoV-2 [37]. It has also been suggested that in HBV/SARS-CoV-2 coinfection, HBV-specific CD4+/CD8+ T-cell responses may amplify the cytokine storm and contribute to severe disease [24, 25]; however, this assertion remains controversial. Chronic HBV infection is characterized by persistence of the HBV viral reservoir in the form of covalently closed circular DNA. This ultimately results in HBV-specific CD4+/CD8+ T-cell exhaustion, a phenomenon marked by diminished effector responses and reduced secretion of proinflammatory cytokines, which would be expected to dampen rather than exacerbate the cytokine storm [38–40]. Conversely, it has been proposed that in mild/moderate SARS-CoV-2 infection, HBV-specific CD4+/CD8+ T-cell exhaustion could orchestrate the exhaustion of natural killer and SARS-CoV-2–specific CD4+/CD8+ T cells, leading to the upregulation of inhibitory immune checkpoints (IC) such as PD-1, CTLA-4, TIM-3, NKG2A, LAG3, VISTA, and Gal-9 [25, 39–41]. Inhibitory ICs, which usually downregulate the immune response to prevent excessive inflammation, contribute to T-cell exhaustion [41]. This impairs virus elimination, leading to a prolonged and dysregulated immune response and worsening disease severity [41]. Notably, the upregulation of ICs has also been linked to CD8+ T cell–mediated apoptosis, which has been linked to lymphopenia and other hematological abnormalities observed in severe SARS-CoV-2 [42–44].

We also showed in subgroup analysis of individuals with HBV/SARS-CoV-2 that those who received any dose of the SARS-CoV-2 vaccine had a 57%, 54%, and 29% reduction in 30-day, 90-day. and overall mortality, respectively, compared with those who were unvaccinated. Currently available SARS-CoV-2 vaccines have demonstrated efficacy in reducing disease severity, as well as hospitalization, ICU admission, and mortality rates in the general population [45–47]. The CDC recommends prioritizing SARS-CoV-2 vaccination for individuals with chronic medical conditions, including chronic liver disease and HBV infection, due to their increased risk for severe COVID-19 outcomes [48]. However, concerns about SARS-CoV-2 vaccine effectiveness persist in immunocompromised individuals, such as people with HIV with lower CD4 counts and those with organ transplants and malignancies, who are at risk of diminished vaccine responses and may require additional vaccine doses to achieve effective immunity [49, 50]. It has similarly been hypothesized that the aberrant immune response seen in HBV/SARS-CoV-2 coinfection may lead to suboptimal SARS-CoV-2 vaccine efficacy in this population; however, few studies have investigated the potential impact of SARS-CoV-2 vaccination on disease severity and outcomes in individuals with chronic HBV infection specifically. Our results demonstrate that SARS-CoV-2 vaccination is effective in preventing adverse outcomes individuals with chronic HBV infection. Given the heightened risks of severe COVID-19 in this population, our results underscore the importance of adhering to the CDC advice to prioritize SARS-CoV-2 vaccination for individuals with underlying chronic liver disease.

Interestingly, SARS-CoV-2 outcomes in individuals with chronic HBV infection were not significantly affected by the SARS-CoV-2 variant type in circulation, except for higher hospitalization rates in the pre-Delta era compared with the Omicron era. Different SARS-CoV-2 variants carry varying risks for severe disease. Generally, Omicron variants are considered less lethal than earlier variants, despite being more transmissible and immune-evasive [51]. In the United States, the Omicron variants became predominant by late December 2021 [51, 52]. Despite the initial peak of the Omicron wave in the United States coinciding with an increase in emergency room visits, hospitalizations, and deaths, this trend subsequently saw a reversal [51, 52], consistent with the overall observations of our study.

Several limitations should be considered in interpreting the findings of this study. First, reliance on electronic health record data introduces potential biases, including variations in data quality and completeness, as well as limitations associated with using ICD-10 codes for diagnoses. This approach may lead to misclassification, and diagnoses not accurately recorded could be missed, a common challenge in observational studies. Second, the retrospective nature of the study design limits causal inference, and despite the use of propensity score matching, unmeasured confounders may still influence the results. Third, the generalizability of the findings may be restricted to the study's geographical scope and healthcare organizations involved. Additionally, the study does not account for the potential impact of specific antiviral treatments on outcomes. Our analysis on SARS-CoV-2 variants relied on the predominant circulating variants in the United States at the time rather than direct testing of variants in study participants. Despite these limitations, the study offers valuable insights into the complex interplay between chronic hepatitis B virus and SARS-CoV-2 outcomes.

In summary, chronic HBV infection was associated with higher odds of mortality and adverse outcomes in SARS-CoV-2 infection, driven in large part by a high burden of underlying chronic liver disease and other comorbidities. Importantly, SARS-CoV-2 vaccination was associated with a significant reduction in the odds of death and the need for ICU admission, suggesting that vaccination could be an effective strategy for mitigating the impact of SARS-CoV-2 in individuals with chronic HBV infection.

Supplementary Data

Supplementary materials are available at Open Forum Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.

Notes

Author Contributions. G.A.Y. conceptualized the study. G.A.Y. curated the data and conducted the statistical analysis. G.A.Y., T.O., F.M., R.A.S., A.M.M., and J.M.J. were responsible for the methods, formal analysis, and visualization. G.A.Y. acquired the funding and was responsible for project administration. G.A.Y. wrote the original draft. All authors reviewed and edited the manuscript and provided important intellectual content. All authors had full access to the data and had final responsibility for the decision to submit for publication.

Data Sharing. Deidentified individual participant data that underlie the results were extracted from TriNetX, a federated national health research network with data sourced from 97 health care organizations (HCO) within the United States with waiver from WCG IRB.

Previous Presentation. A portion this work was presented at the Conference on Retrovirology and Opportunistic Infections (CROI) 2024 in Denver, Colorado, USA, on 5 March 2024 [Abstract #720].

Financial support. G.A.Y. is supported by the United States National Institutes of Health (NIH)/National Institute of Allergy and Infectious Diseases (NIAID) (5UM1AI069501), the Roe Green Center for Travel Medicine and Global Health/University Hospitals Cleveland Medical Center (J0713) and the University Hospitals Minority Faculty Career Development Award/University Hospitals Cleveland Medical Center (P0603). A.M.M. is supported by the National Institutes of Health (K01AI166126). The article contents are solely the responsibility of the authors and do not necessarily represent the official views of the funders.

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Author notes

Potential conflicts of interest. We declare no competing interests.

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