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Characteristics and outcomes of patients with COVID-19 with and without prevalent hypertension: a multinational cohort study

Authors
 Carlen Reyes  ;  Andrea Pistillo  ;  Sergio Fernández-Bertolín  ;  Martina Recalde  ;  Elena Roel  ;  Diana Puente  ;  Anthony G Sena  ;  Clair Blacketer  ;  Lana Lai  ;  Thamir M Alshammari  ;  Waheed-Ui-Rahman Ahmed  ;  Osaid Alser  ;  Heba Alghoul  ;  Carlos Areia  ;  Dalia Dawoud  ;  Albert Prats-Uribe  ;  Neus Valveny  ;  Gabriel de Maeztu  ;  Luisa Sorlí Redó  ;  Jordi Martinez Roldan  ;  Inmaculada Lopez Montesinos  ;  Lisa M Schilling  ;  Asieh Golozar  ;  Christian Reich  ;  Jose D Posada  ;  Nigam Shah  ;  Seng Chan You  ;  Kristine E Lynch  ;  Scott L DuVall  ;  Michael E Matheny  ;  Fredrik Nyberg  ;  Anna Ostropolets  ;  George Hripcsak  ;  Peter R Rijnbeek  ;  Marc A Suchard  ;  Patrick Ryan  ;  Kristin Kostka  ;  Talita Duarte-Salles 
Citation
 BMJ OPEN, Vol.11(12) : e057632, 2021-12 
Journal Title
BMJ OPEN
Issue Date
2021-12
MeSH
COVID-19 Testing ; COVID-19* ; Cohort Studies ; Comorbidity ; Female ; Hospitalization ; Humans ; Hypertension* / epidemiology ; Middle Aged ; Retrospective Studies ; SARS-CoV-2
Keywords
COVID-19 ; epidemiology ; hypertension
Abstract
Objective: To characterise patients with and without prevalent hypertension and COVID-19 and to assess adverse outcomes in both inpatients and outpatients.

Design and setting: This is a retrospective cohort study using 15 healthcare databases (primary and secondary electronic healthcare records, insurance and national claims data) from the USA, Europe and South Korea, standardised to the Observational Medical Outcomes Partnership common data model. Data were gathered from 1 March to 31 October 2020.

Participants: Two non-mutually exclusive cohorts were defined: (1) individuals diagnosed with COVID-19 (diagnosed cohort) and (2) individuals hospitalised with COVID-19 (hospitalised cohort), and stratified by hypertension status. Follow-up was from COVID-19 diagnosis/hospitalisation to death, end of the study period or 30 days.

Outcomes: Demographics, comorbidities and 30-day outcomes (hospitalisation and death for the 'diagnosed' cohort and adverse events and death for the 'hospitalised' cohort) were reported.

Results: We identified 2 851 035 diagnosed and 563 708 hospitalised patients with COVID-19. Hypertension was more prevalent in the latter (ranging across databases from 17.4% (95% CI 17.2 to 17.6) to 61.4% (95% CI 61.0 to 61.8) and from 25.6% (95% CI 24.6 to 26.6) to 85.9% (95% CI 85.2 to 86.6)). Patients in both cohorts with hypertension were predominantly >50 years old and female. Patients with hypertension were frequently diagnosed with obesity, heart disease, dyslipidaemia and diabetes. Compared with patients without hypertension, patients with hypertension in the COVID-19 diagnosed cohort had more hospitalisations (ranging from 1.3% (95% CI 0.4 to 2.2) to 41.1% (95% CI 39.5 to 42.7) vs from 1.4% (95% CI 0.9 to 1.9) to 15.9% (95% CI 14.9 to 16.9)) and increased mortality (ranging from 0.3% (95% CI 0.1 to 0.5) to 18.5% (95% CI 15.7 to 21.3) vs from 0.2% (95% CI 0.2 to 0.2) to 11.8% (95% CI 10.8 to 12.8)). Patients in the COVID-19 hospitalised cohort with hypertension were more likely to have acute respiratory distress syndrome (ranging from 0.1% (95% CI 0.0 to 0.2) to 65.6% (95% CI 62.5 to 68.7) vs from 0.1% (95% CI 0.0 to 0.2) to 54.7% (95% CI 50.5 to 58.9)), arrhythmia (ranging from 0.5% (95% CI 0.3 to 0.7) to 45.8% (95% CI 42.6 to 49.0) vs from 0.4% (95% CI 0.3 to 0.5) to 36.8% (95% CI 32.7 to 40.9)) and increased mortality (ranging from 1.8% (95% CI 0.4 to 3.2) to 25.1% (95% CI 23.0 to 27.2) vs from 0.7% (95% CI 0.5 to 0.9) to 10.9% (95% CI 10.4 to 11.4)) than patients without hypertension.

Conclusions: COVID-19 patients with hypertension were more likely to suffer severe outcomes, hospitalisations and deaths compared with those without hypertension.
Files in This Item:
T9992021112.pdf Download
DOI
10.1136/bmjopen-2021-057632
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
Yonsei Authors
You, Seng Chan(유승찬) ORCID logo https://orcid.org/0000-0002-5052-6399
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/192395
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