Risk of Viral Infection in Patients Using Either Angiotensin-converting Enzyme Inhibitors or Angiotensin Receptor Blockers: A Nationwide Population-based Propensity Score Matching Study.


Journal

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
ISSN: 1537-6591
Titre abrégé: Clin Infect Dis
Pays: United States
ID NLM: 9203213

Informations de publication

Date de publication:
17 12 2020
Historique:
received: 24 04 2020
accepted: 04 06 2020
pubmed: 7 6 2020
medline: 29 4 2021
entrez: 7 6 2020
Statut: ppublish

Résumé

We hypothesized that renin-angiotensin system (RAS) blockers have systemic protective effects beyond the respiratory tract and could reduce the risk of viral infections. We used the National Health Insurance Research Database and identified 2 study cohorts: the angiotensin receptor blocker (ARB) cohort and angiotensin-converting enzyme inhibitor (ACEI) cohort. Propensity score matching was applied at a 1:1 ratio by all associated variables to select 2 independent control cohorts for the ARB and ACEI cohorts. A Cox proportional hazards model was applied to assess the end outcome of viral infection. The number of ARB and ACEI users was 20 207 and 18 029, respectively. The median age of ARB users and nonusers was 53.7 and 53.8 years, respectively. The median follow-up duration of ARB users and nonusers was 7.96 and 7.08 years; the median follow-up duration of ACEI users and nonusers was 8.70 and 8.98 years, respectively. The incidence rates of viral infections in ARB users and nonusers were 4.95 and 8.59 per 1000 person-years, respectively, and ARB users had a lower risk of viral infection than nonusers (adjusted hazard ratio [aHR], 0.53 [95% confidence interval {CI}, .48-.58]). The incidence rates of viral infections in ACEI users and nonusers were 6.10 per 1000 person-years and 7.72 per 1000 person-years, respectively, and ACEI users had a lower risk of viral infection than nonusers (aHR, 0.81 [95% CI, .74-.88]). Hypertensive patients using either ARBs or ACEIs exhibit a lower risk of viral infection than nonusers.

Sections du résumé

BACKGROUND
We hypothesized that renin-angiotensin system (RAS) blockers have systemic protective effects beyond the respiratory tract and could reduce the risk of viral infections.
METHODS
We used the National Health Insurance Research Database and identified 2 study cohorts: the angiotensin receptor blocker (ARB) cohort and angiotensin-converting enzyme inhibitor (ACEI) cohort. Propensity score matching was applied at a 1:1 ratio by all associated variables to select 2 independent control cohorts for the ARB and ACEI cohorts. A Cox proportional hazards model was applied to assess the end outcome of viral infection.
RESULTS
The number of ARB and ACEI users was 20 207 and 18 029, respectively. The median age of ARB users and nonusers was 53.7 and 53.8 years, respectively. The median follow-up duration of ARB users and nonusers was 7.96 and 7.08 years; the median follow-up duration of ACEI users and nonusers was 8.70 and 8.98 years, respectively. The incidence rates of viral infections in ARB users and nonusers were 4.95 and 8.59 per 1000 person-years, respectively, and ARB users had a lower risk of viral infection than nonusers (adjusted hazard ratio [aHR], 0.53 [95% confidence interval {CI}, .48-.58]). The incidence rates of viral infections in ACEI users and nonusers were 6.10 per 1000 person-years and 7.72 per 1000 person-years, respectively, and ACEI users had a lower risk of viral infection than nonusers (aHR, 0.81 [95% CI, .74-.88]).
CONCLUSIONS
Hypertensive patients using either ARBs or ACEIs exhibit a lower risk of viral infection than nonusers.

Identifiants

pubmed: 32504531
pii: 5854307
doi: 10.1093/cid/ciaa734
doi:

Substances chimiques

Angiotensin Receptor Antagonists 0
Angiotensin-Converting Enzyme Inhibitors 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2695-2701

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Auteurs

Shih-Yi Lin (SY)

Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, Taichung, Taiwan.
Division of Nephrology and Kidney Institute, China Medical University Hospital, Taichung, Taiwan.

Shu-Woei Ju (SW)

Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, Taichung, Taiwan.
Division of Nephrology and Kidney Institute, China Medical University Hospital, Taichung, Taiwan.

Cheng-Li Lin (CL)

Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan.
College of Medicine, China Medical University, Taichung, Taiwan.

Cheng-Chieh Lin (CC)

Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, Taichung, Taiwan.
Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan.

Wu-Huei Hsu (WH)

Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, Taichung, Taiwan.
Department of Chest Medicine, China Medical University Hospital, Taichung, Taiwan.

Chia-Hui Chou (CH)

Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, Taichung, Taiwan.
Department of Infection, China Medical University Hospital, Taichung, Taiwan.

Chih-Yu Chi (CY)

Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, Taichung, Taiwan.
Department of Infection, China Medical University Hospital, Taichung, Taiwan.

Chung-Y Hsu (CY)

Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, Taichung, Taiwan.

Chia-Hung Kao (CH)

Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, Taichung, Taiwan.
Department of Nuclear Medicine and Positron Emission Tomography Center, China Medical University Hospital, Taichung, Taiwan.
Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan.
Center of Augmented Intelligence in Healthcare, China Medical University Hospital, Taichung, Taiwan.

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