Abstract

In this retrospective cohort study, we evaluated risk factors for bacteremia in emergency department patients presenting with influenza-like symptoms during influenza epidemic seasons. In patients without fever, chronic heart or chronic liver disease, blood culture collection might be omitted.

Diagnosis of influenza and other respiratory virus infections is based on a syndrome complex including upper respiratory symptoms and often fever, confirmed by a diagnostic test. Common syndromal case definitions, however, have poor sensitivity and specificity to diagnose influenza [1–3]. The sensitivity of the 2011 case definition recommended by the World Health Organization for influenza-like-illness has been reported to be as low as 55%–69% [4, 5]. In addition, signs and symptoms of influenza vary by age, immune status, and presence of underlying comorbidities [6]. Test turnaround times of reverse transcription-polymerase chain reaction in emergency medicine are still too long to exclude alternative differential diagnoses as cause of fever in particular, whereas rapid antigen tests have only low to moderate sensitivity to diagnose influenza [1].

This diagnostic dilemma contributes to a high proportion of blood culture collection in this patient population and may lead to overuse of antibiotics in patients with viral infections [7–9]. However, bacteremia is described to be rare in patients with acute respiratory virus infections: 4.0% (95% confidence interval [CI], 1.9–6.1) of the patients with influenza A, 3.0% (95% CI, 1.2–4.9) with influenza B, and 1.0% (95% CI, .3–1.8) of patients with SARS-CoV-2 infection are bacteremic [10]. Unnecessary collection of blood cultures may harm patients and raise health care costs [11, 12], and inappropriate use of antibiotics has many disadvantages, especially in the view of a rising rate of antibiotic resistance [13].

Therefore, this study aimed to identify risk factors for bacteremia in a cohort of patients presenting with influenza-like symptoms to a tertiary emergency department (ED) during the annual influenza seasons (before the COVID-19 pandemic). In a diagnostic stewardship effort, we tried to identify subpopulations where blood culture sampling can be safely omitted to reduce blood culture collection in patients with suspected viral infection in our ED.

METHODS

Study Design

This retrospective cohort study was conducted at the ED of a tertiary Swiss hospital (Inselspital Bern University Hospital, Switzerland) during2 pre-COVID-19 annual influenza seasons according to the Swiss Federal Office of Public Health annual influenza season definition (week 40/2017 to week 16/2018 [October 2, 2017–April 22, 2018]; and week 40/2018 to week 16/2019 [October 1, 2018–April 21, 2019]). All patients aged ≥ 16 years who presented to the ED with influenza-like symptoms and therefore underwent nasopharyngeal swabbing for influenza A and B polymerase chain reaction according to hospital infection prevention and control policy with concurrent blood culture sampling were included.

Data Collection

Medical data (eg, demographics, clinical complaints, vital values, comorbidities, antibiotic treatment) were extracted from the Eds’ electronic medical record database (Ecare, Turnhout, Belgium). Comorbidities in this retrospective analysis were defined according to US Centers for Disease Control and Prevention health and age factors that are known to increase a person's risk of serious complications from the flu [14]. Blood culture positivity was defined as any blood culture growth, with the exception of known skin contaminants (eg, coagulase negative staphylococci) that were considered contaminants.

Statistical Analysis

The statistical analysis was performed with Stata 16.1 (StataCorp LLC, College Station, Texas, USA). Depending on normality testing (Shapiro Wilk) median (interquartile range [IQR]) or mean (standard deviation) are shown for continuous variables. The Wilcoxon rank-sum test or unpaired t test (for normal distributed variables) was used to compare a continuous variable between positive and negative blood cultures.

Categorical variables were compared between positive and negative blood cultures using chi-squared tests. A P value < .05 was considered significant.

A univariable logistic regression analysis was performed with variables with <5% missing values to identify factors associated with blood culture growth. The variables associated with blood culture positivity (P < .05) in the univariable logistic regression were further analyzed with a multivariable logistic regression analysis with forward-stepwise selection of the identified variables at a significance level of P < .05. The performance of the final model was evaluated using the AUROC metric, where a threshold of 0.7 was considered acceptable for accuracy assessment.

Ethical Considerations

The study was approved by the regional ethics committee of the Canton of Bern, Switzerland (KEK: 2019-01149). Patients who refused to give general consent for the use of their anonymized data or subsequently withdrew it were excluded from the study.

RESULTS

Demographics

During the study period, 1448 patients were tested for influenza; blood cultures were obtained in 546 (37.7%) of these patients. Blood culture positivity in this population was 8.1% (44/546 patients). The median age was 68.0 (IQR 53–77) years and 345 (63.2%) patients were male. The subgroup with a bacteremia had a slightly younger median age with 66.5 (IQR 55–77) years.

Heart disease (n = 150, 27.5%), renal failure (n = 122, 22.3%), and diabetes (n = 111, 20.3%) were the most frequent comorbidities for all patients; for the subgroup with bacteremia, heart disease was significantly more frequent (n = 18, 40.9%, P = .037). Diabetes mellitus (n = 12, 27.3%) and renal failure (n = 10, 22.7%) were other common comorbidities in this subgroup. Immunosuppression was present in 177 (32.4%) patients and in 17 (38.6%) patients with bacteremia.

Commonly reported were acute onset of symptoms (symptom duration < 7 days at presentation, n = 440, 80.6%), cough (n = 327, 59.9%), feeling feverish (n = 315, 57.7%), and fatigue (n = 290, 53.1%); patients with bacteremia reported more often feeling feverish (n = 29, 65.9%) and experiencing fatigue (n = 27, 61.4%).

Patients with bacteremia had significantly lower systolic and diastolic blood pressure values and higher temperatures compared with patients without bacteremia (P < .001, respectively). The respiratory rate was significantly higher in patients with bacteremia (26 vs 29, P = .038), and C-reactive protein and procalcitonin levels were also significantly higher (53 mg/L vs 105 mg/L, P = .002 and .27 vs 1.24, P = .031, respectively).

Patients with bacteremia were significantly more likely to be hospitalized in the intensive care unit (P = .001); 28-day mortality was comparable in both groups (P = .969). (Table 1)

Table 1.

Baseline Characteristics

Full CohortAll Patients With Blood Cultures Obtained (Study Population)No BacteremiaBacteremiaa
Total n(n = 1448)(%)Total n(n = 546)(%)(n = 502)(%)(n = 44)(%)P-value
DEMOGRAPHICS
 Sex1448546
 Male881(60.8)345(63.2)311(62.0)34(77.3)
 Female567(39.2)201(36.8)191(38.0)10(22.7).043
Age, median (IQR)144868(53; 77)54668(53; 77)68(53; 77)66.5(55; 77).864
Age categories, y1448546
16–45239(16.5)94(17.2)89(17.7)5(11.4)
46–65427(29.5)160(29.3)145(28.9)15(34.1)
>65782(54.0)292(53.5)268(53.4)24(54.5).513
COMORBIDITIESb
Heart disease1448407(28.1)546150(27.5)132(26.3)18(40.9).037
Renal failure1448314(21.7)546122(22.3)112(22.3)10(22.7).949
Diabetes1448289(20.0)546111(20.3)99(19.7)12(27.3).233
Hematological disease1448153(10.6)54679(14.5)71(14.1)8(18.2).465
COPD1448216(14.9)54673(13.4)65(12.9)8(18.2).328
Liver disease144887(6.0)54640(7.3)33(6.6)7(15.9).023
Asthma144876(5.2)54627(4.9)26(5.2)1(2.3).394
Obesity (BMI ≥ 40 kg/m2)144818(1.2)5467(1.3)7(1.4)0(0.0)0.430
Immunosuppression1448393(27.1)546177(32.4)160(31.9)17(38.6).358
Pregnancy14483(0.2)-
SYMPTOMS
Symptom duration < 7 d14481048(74.9)546440(80.6)400(79.7)40(90.9).071
Cough1448906(62.6)546327(59.9)308(61.4)19(43.2).018
Fever feeling1448675(46.6)546315(57.7)286(57.0)29(65.9)0.250
Fatigue1448730(50.4)546290(53.1)263(52.4)27(61.4).253
Dyspnea1448516(35.6)546179(32.8)169(33.7)10(22.7).138
Sputum1448458(31.6)546165(30.2)153(30.5)12(27.3).657
Chills1448675(46.6)54689(16.3)80(15.9)9(20.5).437
Headache1448226(15.6)54689(16.3)84(16.7)5(11.4).355
Myalgia1448198(13.7)54684(15.4)77(15.3)7(15.9).920
Sore throat1448182(12.6)54672(13.2)68(13.5)4(9.1).402
Syncope1448151(10.4)54660(11.0)56(11.2)4(9.1).675
Congested nose1448189(13.1)54660(11.0)57(11.4)3(6.8).356
VITAL VALUES AND CLINICAL FINDINGS
Systolic blood pressure, lowest measurement (mm Hg), mean (SD)1431107(93; 124)537105(22)106(22)93(20)<.001
Diastolic blood pressure, lowest measurement (mm Hg), med (IQR)143054(43; 65)53752(41–64)54(42–64)44(34–52)<.001
Lowest GCS, median (IQR)144315(15; 15)54215(15–15)15(15–15)15(14–15).179
Temperature > 38.0 °C1448636(43.9)546317(58.1)279(55.6)38(86.4)<.001
Temperature < 35.0 °C14489(0.6)5463(0.5)3(0.6)0-.607
Highest respiratory rate/min, median (IQR)121126(22; 30)46627(23–31)26(23–31)29(25–32).038
Lowest oxygen saturation, median (IQR)143592(89; 95)54092(89–94)92(89–94)91(88–94).319
Oxygen support1448554(38.3)546227(41.6)209(41.6)18(40.9).926
Breath sound abnormal on lung auscultationc1448641(44.3)546243(44.5)222(44.2)21(47.7).654
LABORATORY RESULTS
Leukocyte (g/L), med (IQR)14129.1(6.1; 12.6)5399.5(5.9–13.9)9.3(5.9–13.9)10.5(5.2–12.6).974
CRP (mg/L), median (IQR)141644(14; 104)54055(22–120)53(20–113.5)105(48–194).002
Procalcitonin (µg/L), median (IQR)210.28(0.10; 0.87)1040.29(0.10–1.38)0.27(0.09–1.12)1.24(0.93–2.25).031
Creatinine (µmol/L), med (IQR)143181(64; 108)54281(65–107)81(65–106)80.5(69–138.5).302
Influenza PCR test positive1448147(10.2)54658(10.6)56(11.2)2(4.5).172
X-RAY RESULTS
Infiltrates detectible in X-ray or CT scan thorax1448440(30.4)546194(35.5)183(36.5)11(25.0).128
OUTCOME
Hospitalization14481146(79.1)546458(83.9)417(83.1)41(93.2).080
ICU admission1448155(10.7)54675(13.7)62(12.4)13(29.5).001
28-d mortality144894(6.5)54638(7.0)35(7.0)3(6.8).969
Full CohortAll Patients With Blood Cultures Obtained (Study Population)No BacteremiaBacteremiaa
Total n(n = 1448)(%)Total n(n = 546)(%)(n = 502)(%)(n = 44)(%)P-value
DEMOGRAPHICS
 Sex1448546
 Male881(60.8)345(63.2)311(62.0)34(77.3)
 Female567(39.2)201(36.8)191(38.0)10(22.7).043
Age, median (IQR)144868(53; 77)54668(53; 77)68(53; 77)66.5(55; 77).864
Age categories, y1448546
16–45239(16.5)94(17.2)89(17.7)5(11.4)
46–65427(29.5)160(29.3)145(28.9)15(34.1)
>65782(54.0)292(53.5)268(53.4)24(54.5).513
COMORBIDITIESb
Heart disease1448407(28.1)546150(27.5)132(26.3)18(40.9).037
Renal failure1448314(21.7)546122(22.3)112(22.3)10(22.7).949
Diabetes1448289(20.0)546111(20.3)99(19.7)12(27.3).233
Hematological disease1448153(10.6)54679(14.5)71(14.1)8(18.2).465
COPD1448216(14.9)54673(13.4)65(12.9)8(18.2).328
Liver disease144887(6.0)54640(7.3)33(6.6)7(15.9).023
Asthma144876(5.2)54627(4.9)26(5.2)1(2.3).394
Obesity (BMI ≥ 40 kg/m2)144818(1.2)5467(1.3)7(1.4)0(0.0)0.430
Immunosuppression1448393(27.1)546177(32.4)160(31.9)17(38.6).358
Pregnancy14483(0.2)-
SYMPTOMS
Symptom duration < 7 d14481048(74.9)546440(80.6)400(79.7)40(90.9).071
Cough1448906(62.6)546327(59.9)308(61.4)19(43.2).018
Fever feeling1448675(46.6)546315(57.7)286(57.0)29(65.9)0.250
Fatigue1448730(50.4)546290(53.1)263(52.4)27(61.4).253
Dyspnea1448516(35.6)546179(32.8)169(33.7)10(22.7).138
Sputum1448458(31.6)546165(30.2)153(30.5)12(27.3).657
Chills1448675(46.6)54689(16.3)80(15.9)9(20.5).437
Headache1448226(15.6)54689(16.3)84(16.7)5(11.4).355
Myalgia1448198(13.7)54684(15.4)77(15.3)7(15.9).920
Sore throat1448182(12.6)54672(13.2)68(13.5)4(9.1).402
Syncope1448151(10.4)54660(11.0)56(11.2)4(9.1).675
Congested nose1448189(13.1)54660(11.0)57(11.4)3(6.8).356
VITAL VALUES AND CLINICAL FINDINGS
Systolic blood pressure, lowest measurement (mm Hg), mean (SD)1431107(93; 124)537105(22)106(22)93(20)<.001
Diastolic blood pressure, lowest measurement (mm Hg), med (IQR)143054(43; 65)53752(41–64)54(42–64)44(34–52)<.001
Lowest GCS, median (IQR)144315(15; 15)54215(15–15)15(15–15)15(14–15).179
Temperature > 38.0 °C1448636(43.9)546317(58.1)279(55.6)38(86.4)<.001
Temperature < 35.0 °C14489(0.6)5463(0.5)3(0.6)0-.607
Highest respiratory rate/min, median (IQR)121126(22; 30)46627(23–31)26(23–31)29(25–32).038
Lowest oxygen saturation, median (IQR)143592(89; 95)54092(89–94)92(89–94)91(88–94).319
Oxygen support1448554(38.3)546227(41.6)209(41.6)18(40.9).926
Breath sound abnormal on lung auscultationc1448641(44.3)546243(44.5)222(44.2)21(47.7).654
LABORATORY RESULTS
Leukocyte (g/L), med (IQR)14129.1(6.1; 12.6)5399.5(5.9–13.9)9.3(5.9–13.9)10.5(5.2–12.6).974
CRP (mg/L), median (IQR)141644(14; 104)54055(22–120)53(20–113.5)105(48–194).002
Procalcitonin (µg/L), median (IQR)210.28(0.10; 0.87)1040.29(0.10–1.38)0.27(0.09–1.12)1.24(0.93–2.25).031
Creatinine (µmol/L), med (IQR)143181(64; 108)54281(65–107)81(65–106)80.5(69–138.5).302
Influenza PCR test positive1448147(10.2)54658(10.6)56(11.2)2(4.5).172
X-RAY RESULTS
Infiltrates detectible in X-ray or CT scan thorax1448440(30.4)546194(35.5)183(36.5)11(25.0).128
OUTCOME
Hospitalization14481146(79.1)546458(83.9)417(83.1)41(93.2).080
ICU admission1448155(10.7)54675(13.7)62(12.4)13(29.5).001
28-d mortality144894(6.5)54638(7.0)35(7.0)3(6.8).969

Abbreviations: BMI, body mass index; COPD, chronic obstructive pulmonary disease; CRP, C-reactive protein; CT, computed tomography; ICU, intensive care unit; IQR, interquartile range; PCR, polymerase chain reaction; SD, standard deviation.

Depending on normality testing (Shapiro Wilk) median (IQR), respectively, mean (SD) are shown for continuous variables, P values obtained by Wilcoxon rank-sum test respectively unpaired t test. Categorical variables are shown with number (%) in each category, P values obtained by chi-squared test.

aCorrected for contaminations.

bComorbidities according to US Centers for Disease Control and Prevention health and age factors that are known to increase a person's risk of serious complications from the flu [14]. Liver disease: cirrhosis, chronic hepatitis B, chronic hepatitis C, and liver transplant. Heart disease: congenital heart disease, congestive heart failure, and coronary artery disease. Renal failure: chronic renal failure and kidney transplant Immunosuppression: Compromised immune response due to HIV, hematoncologic malignancy or cancer under chemotherapy or radiation treatment, or immunosuppressive medication.

cAbnormal breath sound on lung auscultation includes rales and obstructive breath sounds.

Table 1.

Baseline Characteristics

Full CohortAll Patients With Blood Cultures Obtained (Study Population)No BacteremiaBacteremiaa
Total n(n = 1448)(%)Total n(n = 546)(%)(n = 502)(%)(n = 44)(%)P-value
DEMOGRAPHICS
 Sex1448546
 Male881(60.8)345(63.2)311(62.0)34(77.3)
 Female567(39.2)201(36.8)191(38.0)10(22.7).043
Age, median (IQR)144868(53; 77)54668(53; 77)68(53; 77)66.5(55; 77).864
Age categories, y1448546
16–45239(16.5)94(17.2)89(17.7)5(11.4)
46–65427(29.5)160(29.3)145(28.9)15(34.1)
>65782(54.0)292(53.5)268(53.4)24(54.5).513
COMORBIDITIESb
Heart disease1448407(28.1)546150(27.5)132(26.3)18(40.9).037
Renal failure1448314(21.7)546122(22.3)112(22.3)10(22.7).949
Diabetes1448289(20.0)546111(20.3)99(19.7)12(27.3).233
Hematological disease1448153(10.6)54679(14.5)71(14.1)8(18.2).465
COPD1448216(14.9)54673(13.4)65(12.9)8(18.2).328
Liver disease144887(6.0)54640(7.3)33(6.6)7(15.9).023
Asthma144876(5.2)54627(4.9)26(5.2)1(2.3).394
Obesity (BMI ≥ 40 kg/m2)144818(1.2)5467(1.3)7(1.4)0(0.0)0.430
Immunosuppression1448393(27.1)546177(32.4)160(31.9)17(38.6).358
Pregnancy14483(0.2)-
SYMPTOMS
Symptom duration < 7 d14481048(74.9)546440(80.6)400(79.7)40(90.9).071
Cough1448906(62.6)546327(59.9)308(61.4)19(43.2).018
Fever feeling1448675(46.6)546315(57.7)286(57.0)29(65.9)0.250
Fatigue1448730(50.4)546290(53.1)263(52.4)27(61.4).253
Dyspnea1448516(35.6)546179(32.8)169(33.7)10(22.7).138
Sputum1448458(31.6)546165(30.2)153(30.5)12(27.3).657
Chills1448675(46.6)54689(16.3)80(15.9)9(20.5).437
Headache1448226(15.6)54689(16.3)84(16.7)5(11.4).355
Myalgia1448198(13.7)54684(15.4)77(15.3)7(15.9).920
Sore throat1448182(12.6)54672(13.2)68(13.5)4(9.1).402
Syncope1448151(10.4)54660(11.0)56(11.2)4(9.1).675
Congested nose1448189(13.1)54660(11.0)57(11.4)3(6.8).356
VITAL VALUES AND CLINICAL FINDINGS
Systolic blood pressure, lowest measurement (mm Hg), mean (SD)1431107(93; 124)537105(22)106(22)93(20)<.001
Diastolic blood pressure, lowest measurement (mm Hg), med (IQR)143054(43; 65)53752(41–64)54(42–64)44(34–52)<.001
Lowest GCS, median (IQR)144315(15; 15)54215(15–15)15(15–15)15(14–15).179
Temperature > 38.0 °C1448636(43.9)546317(58.1)279(55.6)38(86.4)<.001
Temperature < 35.0 °C14489(0.6)5463(0.5)3(0.6)0-.607
Highest respiratory rate/min, median (IQR)121126(22; 30)46627(23–31)26(23–31)29(25–32).038
Lowest oxygen saturation, median (IQR)143592(89; 95)54092(89–94)92(89–94)91(88–94).319
Oxygen support1448554(38.3)546227(41.6)209(41.6)18(40.9).926
Breath sound abnormal on lung auscultationc1448641(44.3)546243(44.5)222(44.2)21(47.7).654
LABORATORY RESULTS
Leukocyte (g/L), med (IQR)14129.1(6.1; 12.6)5399.5(5.9–13.9)9.3(5.9–13.9)10.5(5.2–12.6).974
CRP (mg/L), median (IQR)141644(14; 104)54055(22–120)53(20–113.5)105(48–194).002
Procalcitonin (µg/L), median (IQR)210.28(0.10; 0.87)1040.29(0.10–1.38)0.27(0.09–1.12)1.24(0.93–2.25).031
Creatinine (µmol/L), med (IQR)143181(64; 108)54281(65–107)81(65–106)80.5(69–138.5).302
Influenza PCR test positive1448147(10.2)54658(10.6)56(11.2)2(4.5).172
X-RAY RESULTS
Infiltrates detectible in X-ray or CT scan thorax1448440(30.4)546194(35.5)183(36.5)11(25.0).128
OUTCOME
Hospitalization14481146(79.1)546458(83.9)417(83.1)41(93.2).080
ICU admission1448155(10.7)54675(13.7)62(12.4)13(29.5).001
28-d mortality144894(6.5)54638(7.0)35(7.0)3(6.8).969
Full CohortAll Patients With Blood Cultures Obtained (Study Population)No BacteremiaBacteremiaa
Total n(n = 1448)(%)Total n(n = 546)(%)(n = 502)(%)(n = 44)(%)P-value
DEMOGRAPHICS
 Sex1448546
 Male881(60.8)345(63.2)311(62.0)34(77.3)
 Female567(39.2)201(36.8)191(38.0)10(22.7).043
Age, median (IQR)144868(53; 77)54668(53; 77)68(53; 77)66.5(55; 77).864
Age categories, y1448546
16–45239(16.5)94(17.2)89(17.7)5(11.4)
46–65427(29.5)160(29.3)145(28.9)15(34.1)
>65782(54.0)292(53.5)268(53.4)24(54.5).513
COMORBIDITIESb
Heart disease1448407(28.1)546150(27.5)132(26.3)18(40.9).037
Renal failure1448314(21.7)546122(22.3)112(22.3)10(22.7).949
Diabetes1448289(20.0)546111(20.3)99(19.7)12(27.3).233
Hematological disease1448153(10.6)54679(14.5)71(14.1)8(18.2).465
COPD1448216(14.9)54673(13.4)65(12.9)8(18.2).328
Liver disease144887(6.0)54640(7.3)33(6.6)7(15.9).023
Asthma144876(5.2)54627(4.9)26(5.2)1(2.3).394
Obesity (BMI ≥ 40 kg/m2)144818(1.2)5467(1.3)7(1.4)0(0.0)0.430
Immunosuppression1448393(27.1)546177(32.4)160(31.9)17(38.6).358
Pregnancy14483(0.2)-
SYMPTOMS
Symptom duration < 7 d14481048(74.9)546440(80.6)400(79.7)40(90.9).071
Cough1448906(62.6)546327(59.9)308(61.4)19(43.2).018
Fever feeling1448675(46.6)546315(57.7)286(57.0)29(65.9)0.250
Fatigue1448730(50.4)546290(53.1)263(52.4)27(61.4).253
Dyspnea1448516(35.6)546179(32.8)169(33.7)10(22.7).138
Sputum1448458(31.6)546165(30.2)153(30.5)12(27.3).657
Chills1448675(46.6)54689(16.3)80(15.9)9(20.5).437
Headache1448226(15.6)54689(16.3)84(16.7)5(11.4).355
Myalgia1448198(13.7)54684(15.4)77(15.3)7(15.9).920
Sore throat1448182(12.6)54672(13.2)68(13.5)4(9.1).402
Syncope1448151(10.4)54660(11.0)56(11.2)4(9.1).675
Congested nose1448189(13.1)54660(11.0)57(11.4)3(6.8).356
VITAL VALUES AND CLINICAL FINDINGS
Systolic blood pressure, lowest measurement (mm Hg), mean (SD)1431107(93; 124)537105(22)106(22)93(20)<.001
Diastolic blood pressure, lowest measurement (mm Hg), med (IQR)143054(43; 65)53752(41–64)54(42–64)44(34–52)<.001
Lowest GCS, median (IQR)144315(15; 15)54215(15–15)15(15–15)15(14–15).179
Temperature > 38.0 °C1448636(43.9)546317(58.1)279(55.6)38(86.4)<.001
Temperature < 35.0 °C14489(0.6)5463(0.5)3(0.6)0-.607
Highest respiratory rate/min, median (IQR)121126(22; 30)46627(23–31)26(23–31)29(25–32).038
Lowest oxygen saturation, median (IQR)143592(89; 95)54092(89–94)92(89–94)91(88–94).319
Oxygen support1448554(38.3)546227(41.6)209(41.6)18(40.9).926
Breath sound abnormal on lung auscultationc1448641(44.3)546243(44.5)222(44.2)21(47.7).654
LABORATORY RESULTS
Leukocyte (g/L), med (IQR)14129.1(6.1; 12.6)5399.5(5.9–13.9)9.3(5.9–13.9)10.5(5.2–12.6).974
CRP (mg/L), median (IQR)141644(14; 104)54055(22–120)53(20–113.5)105(48–194).002
Procalcitonin (µg/L), median (IQR)210.28(0.10; 0.87)1040.29(0.10–1.38)0.27(0.09–1.12)1.24(0.93–2.25).031
Creatinine (µmol/L), med (IQR)143181(64; 108)54281(65–107)81(65–106)80.5(69–138.5).302
Influenza PCR test positive1448147(10.2)54658(10.6)56(11.2)2(4.5).172
X-RAY RESULTS
Infiltrates detectible in X-ray or CT scan thorax1448440(30.4)546194(35.5)183(36.5)11(25.0).128
OUTCOME
Hospitalization14481146(79.1)546458(83.9)417(83.1)41(93.2).080
ICU admission1448155(10.7)54675(13.7)62(12.4)13(29.5).001
28-d mortality144894(6.5)54638(7.0)35(7.0)3(6.8).969

Abbreviations: BMI, body mass index; COPD, chronic obstructive pulmonary disease; CRP, C-reactive protein; CT, computed tomography; ICU, intensive care unit; IQR, interquartile range; PCR, polymerase chain reaction; SD, standard deviation.

Depending on normality testing (Shapiro Wilk) median (IQR), respectively, mean (SD) are shown for continuous variables, P values obtained by Wilcoxon rank-sum test respectively unpaired t test. Categorical variables are shown with number (%) in each category, P values obtained by chi-squared test.

aCorrected for contaminations.

bComorbidities according to US Centers for Disease Control and Prevention health and age factors that are known to increase a person's risk of serious complications from the flu [14]. Liver disease: cirrhosis, chronic hepatitis B, chronic hepatitis C, and liver transplant. Heart disease: congenital heart disease, congestive heart failure, and coronary artery disease. Renal failure: chronic renal failure and kidney transplant Immunosuppression: Compromised immune response due to HIV, hematoncologic malignancy or cancer under chemotherapy or radiation treatment, or immunosuppressive medication.

cAbnormal breath sound on lung auscultation includes rales and obstructive breath sounds.

Risk Factors for Bacteremia in Influenza-like Symptom Patients

Risk factors for bacteremia in the influenza-like symptoms cohort was explored first with univariable logistic regression. Overall, the following factors were associated with bacteremia: chronic liver disease (OR 2.69, CI 1.11; 6.49, P = .028) and chronic heart disease (OR 1.94, CI 1.03; 3.65, P = .040) as comorbidities. Furthermore, findings like body temperature > 38.0°C (OR 5.06, CI 2.10; 12.19, P < .001), highest respiratory rate (odds ratio [OR], 1.06; CI, 1.00˗1.11; P = .031), and lowest systolic blood pressure (OR, 0.97; CI, .96˗.99; P < .001) during the ED stay were associated with a higher probability of bacteremia, whereas reported cough (OR, .48; CI, .26˗.89; P = .020) was associated with a lower probability of bacteremia.

Second, a stepwise multivariable logistic regression was performed, including variables associated in the univariable analysis with positive blood cultures. Temperature > 38.0 °C (OR, 6.39; CI, 2.33–17.49), liver disease (OR, 5.62; CI, 1.91–16.53), and heart disease (OR, 4.68; CI, 2.11–10.38) were the factors found with the highest association with bacteremia (further factors are presented in Table 2).

Table 2.

Multivariable Logistic Regression, Risk Factors for Bacteremia in Patients With Flu-like Symptoms; Variables Associated With Positive Blood Culture With P < .05

BacteremiaOdds Ratio95% Confidence IntervalP > z
Temperature > 38. 0°C6.392.33–17.49<.001
Liver disease5.621.91–16.53.002
Heart disease4.682.11–10.38<.001
CRP per mg/La1.011.00–1.01<.001
Systolic blood pressure, lowest measurement, per mm Hgb0.970.96–0.99.007
Cough0.390.19–0.81.011
BacteremiaOdds Ratio95% Confidence IntervalP > z
Temperature > 38. 0°C6.392.33–17.49<.001
Liver disease5.621.91–16.53.002
Heart disease4.682.11–10.38<.001
CRP per mg/La1.011.00–1.01<.001
Systolic blood pressure, lowest measurement, per mm Hgb0.970.96–0.99.007
Cough0.390.19–0.81.011

Abbreviation: CRP, C-reactive protein.

Number of observations n = 523. Area under receiver operating characteristic curve: 0.843.

aThe odds ratio of CRP was calculated for each increase in 1 mg/L.

bThe odds ratio of systolic blood pressure, lowest measurement, was calculated per decrement of 1 mm Hg.

Table 2.

Multivariable Logistic Regression, Risk Factors for Bacteremia in Patients With Flu-like Symptoms; Variables Associated With Positive Blood Culture With P < .05

BacteremiaOdds Ratio95% Confidence IntervalP > z
Temperature > 38. 0°C6.392.33–17.49<.001
Liver disease5.621.91–16.53.002
Heart disease4.682.11–10.38<.001
CRP per mg/La1.011.00–1.01<.001
Systolic blood pressure, lowest measurement, per mm Hgb0.970.96–0.99.007
Cough0.390.19–0.81.011
BacteremiaOdds Ratio95% Confidence IntervalP > z
Temperature > 38. 0°C6.392.33–17.49<.001
Liver disease5.621.91–16.53.002
Heart disease4.682.11–10.38<.001
CRP per mg/La1.011.00–1.01<.001
Systolic blood pressure, lowest measurement, per mm Hgb0.970.96–0.99.007
Cough0.390.19–0.81.011

Abbreviation: CRP, C-reactive protein.

Number of observations n = 523. Area under receiver operating characteristic curve: 0.843.

aThe odds ratio of CRP was calculated for each increase in 1 mg/L.

bThe odds ratio of systolic blood pressure, lowest measurement, was calculated per decrement of 1 mm Hg.

In the subgroup of blood cultures taken from patients with absence of any of these 3 predictors of bacteremia (n = 140), only 1.4% (n = 2) of the blood cultures were positive, whereas in patients with at least 1 of the mentioned predictors (n = 406), blood culture positivity was 10.3% (n = 42) (OR, 7.96; 95% CI, 2.02–68.62; P < .001). In patients without the 2 identified comorbidities heart and liver disease (n = 360), blood culture positivity was 5.3% (19/360 patients), whereas in patients with heart or liver disease or both, blood culture positivity was 13.4% (25/186) (OR, 2.79; 95% CI, 1.43–5.51; P < .001). In patients with all of the 3 identified predictors (n = 24), blood culture positivity was 29.2% (7/24 patients) (OR, 5.40; 95% CI, 1.77–14.72; P < .001).

DISCUSSION

During 2 influenza epidemic seasons before the COVID-19 pandemic, bacteremia was detected in only 8.1% of patients presenting with influenza-like symptoms in a tertiary ED, which is comparable to an earlier report [15]. Our retrospective data suggest that the collection of blood cultures could be omitted in patients presenting with influenza-like symptoms during influenza season that have neither fever nor chronic heart or liver disease. However, this finding should be prospectively validated. A meaningful score to identify patients without bacteremia in febrile or hypothermic patients presenting with influenza-like symptoms could not be derived from the retrospective dataset of this study. In addition, the identified predictors of bacteremia might be less reliable in elderly patients with a suspicion of influenza, where fever is not as commonly present even in bacteremia. The predictors found in our study have some overlap with predictors for bacteremia identified in a general ED population (not focusing on influenza-like symptom subpopulation), but in that broader population the association with the comorbidities heart disease or liver diseases was not mentioned [16].

Febrile illness with suspected blood stream infection is a leading cause for hospital admission [17, 18], and obtaining blood cultures is a common practice during initial ED presentation of patients who may have an infection [12]. It has been shown that physicians overestimate the likelihood of bacteremia in patients in general [19, 20]. In high-income countries, blood stream infection has been documented in only 1.4% to 8.3% of blood cultures taken from patients presenting to EDs [12, 21–23]. In contrast, rapid identification of patients at risk for bacteremia is critical in the ED because untreated bacteremia can lead to sepsis and septic shock with an estimated mortality rate of 30% to 50% [12, 17, 24–27]. Therefore, the ED is an important setting for diagnostic and therapeutic stewardship approaches [11].

The proportion of positive blood cultures both in patients with an influenza infection, and, more recently, with a SARS-CoV-2 infection, is low, and in the mentioned subgroups it might be low enough to justify omitting blood culturing.

Our study has several limitations. It was performed in a retrospective cohort from before the COVID-19 pandemic; the findings of this study should be confirmed in a mixed SARS-CoV-2 and influenza respiratory virus infection season in the future. Nevertheless, observed blood culture positivity in COVID-19 patients are in a comparable range to influenza patients. Therefore, the results might be transferable to a more current setting. Furthermore, blood cultures were obtained in only about 40% of all patients with influenza-like symptoms, and the results of the subpopulation studied may differ from those of the total population because of potential selection bias.

CONCLUSION

Bacteremia is rarely found in ED patients presenting with influenza-like symptoms during epidemic seasons, especially in the absence of identified predictors such as fever and chronic heart and liver disease. In the sense of a diagnostic stewardship approach, blood culture collection could be omitted in a relevant proportion of patients presenting with flu-like symptoms during the annual epidemic season. Identified risk factors for bacteremia should be externally validated, ideally in a prospective cohort.

Notes

Author Contributions. All authors have contributed substantially to conception and design of the study. L. H. did the manual coding of the data. M. M. performed the analysis. S. E., L. H., and P. J. did the interpretation of the data supported by M. M. S. E., L. H., and P. J. drafted the manuscript and M. R., F. S., A. E., W. H., and M. M. revised it critically. All approved the final version to be published.

This research was financed by the contributing departments, without additional external funding sources. The authors declare that they have no conflict of interest.

Data availability. The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Ethics approval and  Patient Consent Statement. The study was approved by the regional ethics committee of the Canton of Bern, Switzerland. Patients who refused to give the general consent for the use of their anonymized data were excluded from the study (KEK: 2019-01149).

Consent for publication. Not applicable.

Financial support. No external funding.

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Author notes

Potential conflicts of interest. All authors: No reported conflicts.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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