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Grace Chung-Yan Lui, Terry Cheuk-Fung Yip, David Shu-Cheong Hui, Grace Lai-Hung Wong, Reply to Hoffmann and Wolf, Clinical Infectious Diseases, Volume 73, Issue 7, 1 October 2021, Pages e1782–e1783, https://doi.org/10.1093/cid/ciaa1678
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To the Editor—We are grateful to Hoffmann and Wolf for their interest and comments [1] on our recently published article in which we describe the case fatality ratio (CFR) of coronavirus disease 2019 (COVID-19) in Hong Kong [2].
We agree with Hoffmann and Wolf that age plays a critical role in determining CFR across the world. In fact, even in our relatively young cohort, age was one of the major independent predictors for adverse outcomes [2]. However, the age distribution of the infected population cannot entirely explain the varying CFRs among different countries. For example, from the figure presented by Hoffmann and Wolf, CFRs varied from 2% to 6% in regions with 10%–15% of patients aged ≥70 years [1].
A recent country-level analysis of 50 countries with the highest number of reported COVID-19 cases showed that population age was not associated with COVID-19 mortality on multivariable analysis, while the number of nurses per million population and other socioeconomic factors independently correlated with COVID-19 mortality [3]. This analysis also provided evidence that effective public health interventions that were able to lessen transmission increased recovery rates among COVID-19 patients, most likely via prevention of health system overcapacity [3]. Another multicountry analysis that involved 169 countries demonstrated that the number of tests as well as hospital beds per population were independently associated with COVID-19 mortality, after adjusting for proportion of aged persons in the country [4]. These data did support the importance of testing strategies, access to medical care, and healthcare capacity in determining outcomes in patients with COVID-19.
In our multivariable analysis, COVID-19 was independently associated with lower risk of adverse outcomes, after adjusting for age and other host characteristics [2]. We agree with Hoffmann and Wolf that the latest overall CFR had risen in Hong Kong due to more infections observed in older age groups. However, comparisons of the CFRs between severe acute respiratory syndrome and our more recent COVID-19 cohort involving older age groups consistently showed significantly lower CFRs in COVID-19 among all age groups (Table 1) [5].
Case Fatality Ratio in 30 Days of Coronavirus Disease 2019 and Severe Acute Respiratory Syndrome Patients in Hong Kong in Different Age Groups
Age Group, Years . | Coronavirus Disease 2019 (n, %)a . | Severe Acute Respiratory Syndrome (n, %) . | P Value . |
---|---|---|---|
All | 105/5088 (2.1) | 180/1670 (10.8) | <.001 |
<60 | 3/3797 (0.08) | 55/1299 (4.2) | <.001 |
60–69 | 13/770 (0.2) | 26/121 (21.5) | <.001 |
70–79 | 27/314 (8.6) | 48/135 (35.6) | <.001 |
≥80 | 62/207 (30.0) | 51/115 (44.3) | .013 |
Age Group, Years . | Coronavirus Disease 2019 (n, %)a . | Severe Acute Respiratory Syndrome (n, %) . | P Value . |
---|---|---|---|
All | 105/5088 (2.1) | 180/1670 (10.8) | <.001 |
<60 | 3/3797 (0.08) | 55/1299 (4.2) | <.001 |
60–69 | 13/770 (0.2) | 26/121 (21.5) | <.001 |
70–79 | 27/314 (8.6) | 48/135 (35.6) | <.001 |
≥80 | 62/207 (30.0) | 51/115 (44.3) | .013 |
aPatients diagnosed as of 30 September 2020 and followed until 20 October 2020.
Case Fatality Ratio in 30 Days of Coronavirus Disease 2019 and Severe Acute Respiratory Syndrome Patients in Hong Kong in Different Age Groups
Age Group, Years . | Coronavirus Disease 2019 (n, %)a . | Severe Acute Respiratory Syndrome (n, %) . | P Value . |
---|---|---|---|
All | 105/5088 (2.1) | 180/1670 (10.8) | <.001 |
<60 | 3/3797 (0.08) | 55/1299 (4.2) | <.001 |
60–69 | 13/770 (0.2) | 26/121 (21.5) | <.001 |
70–79 | 27/314 (8.6) | 48/135 (35.6) | <.001 |
≥80 | 62/207 (30.0) | 51/115 (44.3) | .013 |
Age Group, Years . | Coronavirus Disease 2019 (n, %)a . | Severe Acute Respiratory Syndrome (n, %) . | P Value . |
---|---|---|---|
All | 105/5088 (2.1) | 180/1670 (10.8) | <.001 |
<60 | 3/3797 (0.08) | 55/1299 (4.2) | <.001 |
60–69 | 13/770 (0.2) | 26/121 (21.5) | <.001 |
70–79 | 27/314 (8.6) | 48/135 (35.6) | <.001 |
≥80 | 62/207 (30.0) | 51/115 (44.3) | .013 |
aPatients diagnosed as of 30 September 2020 and followed until 20 October 2020.
Last, since the major objective of our study was to determine predictors of CFR and adverse outcomes in infected patients, our results provide guidance on policies to reduce mortality among those who are infected. We fully agree that the importance of public health intervention to prevent transmission, especially among high-risk groups, can never be understated in this pandemic [6–8].
Note
Potential conflicts of interest. G. C.-Y. L. reports advisory committee fees, speaker fees, and research grants from Merck and Gilead Sciences and advisory committee fees and research grants from GSK. D. S.-C. H. reports advisory committee member fees from Roche outside the submitted work. T. C.-F. Y. reports advisory committee member and speaker fees from Gilead Sciences. G. L.-H. W. reports advisory committee member fees and research grants from Gilead Sciences and speaker fees from Abbott, AbbVie, Bristol-Myers Squibb, Echosens, Furui, Gilead Sciences, Janssen, and Roche. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.