Characterisation of the first 250,000 hospital admissions for COVID-19 in Brazil: a retrospective analysis of nationwide data.
Adult
Aged
Aged, 80 and over
Brazil
/ epidemiology
COVID-19
/ diagnosis
Comorbidity
Epidemiological Monitoring
Female
Geography
Health Services Accessibility
/ organization & administration
Health Services Needs and Demand
/ statistics & numerical data
Healthcare Disparities
/ statistics & numerical data
Hospital Mortality
/ trends
Humans
Intensive Care Units
/ statistics & numerical data
Male
Middle Aged
Pandemics
/ statistics & numerical data
Patient Admission
/ statistics & numerical data
Respiration, Artificial
/ statistics & numerical data
Retrospective Studies
SARS-CoV-2
/ isolation & purification
Young Adult
Journal
The Lancet. Respiratory medicine
ISSN: 2213-2619
Titre abrégé: Lancet Respir Med
Pays: England
ID NLM: 101605555
Informations de publication
Date de publication:
04 2021
04 2021
Historique:
received:
07
09
2020
revised:
30
10
2020
accepted:
23
11
2020
pubmed:
19
1
2021
medline:
14
4
2021
entrez:
18
1
2021
Statut:
ppublish
Résumé
Most low-income and middle-income countries (LMICs) have little or no data integrated into a national surveillance system to identify characteristics or outcomes of COVID-19 hospital admissions and the impact of the COVID-19 pandemic on their national health systems. We aimed to analyse characteristics of patients admitted to hospital with COVID-19 in Brazil, and to examine the impact of COVID-19 on health-care resources and in-hospital mortality. We did a retrospective analysis of all patients aged 20 years or older with quantitative RT-PCR (RT-qPCR)-confirmed COVID-19 who were admitted to hospital and registered in SIVEP-Gripe, a nationwide surveillance database in Brazil, between Feb 16 and Aug 15, 2020 (epidemiological weeks 8-33). We also examined the progression of the COVID-19 pandemic across three 4-week periods within this timeframe (epidemiological weeks 8-12, 19-22, and 27-30). The primary outcome was in-hospital mortality. We compared the regional burden of hospital admissions stratified by age, intensive care unit (ICU) admission, and respiratory support. We analysed data from the whole country and its five regions: North, Northeast, Central-West, Southeast, and South. Between Feb 16 and Aug 15, 2020, 254 288 patients with RT-qPCR-confirmed COVID-19 were admitted to hospital and registered in SIVEP-Gripe. The mean age of patients was 60 (SD 17) years, 119 657 (47%) of 254 288 were aged younger than 60 years, 143 521 (56%) of 254 243 were male, and 14 979 (16%) of 90 829 had no comorbidities. Case numbers increased across the three 4-week periods studied: by epidemiological weeks 19-22, cases were concentrated in the North, Northeast, and Southeast; by weeks 27-30, cases had spread to the Central-West and South regions. 232 036 (91%) of 254 288 patients had a defined hospital outcome when the data were exported; in-hospital mortality was 38% (87 515 of 232 036 patients) overall, 59% (47 002 of 79 687) among patients admitted to the ICU, and 80% (36 046 of 45 205) among those who were mechanically ventilated. The overall burden of ICU admissions per ICU beds was more pronounced in the North, Southeast, and Northeast, than in the Central-West and South. In the Northeast, 1545 (16%) of 9960 patients received invasive mechanical ventilation outside the ICU compared with 431 (8%) of 5388 in the South. In-hospital mortality among patients younger than 60 years was 31% (4204 of 13 468) in the Northeast versus 15% (1694 of 11 196) in the South. We observed a widespread distribution of COVID-19 across all regions in Brazil, resulting in a high overall disease burden. In-hospital mortality was high, even in patients younger than 60 years, and worsened by existing regional disparities within the health system. The COVID-19 pandemic highlights the need to improve access to high-quality care for critically ill patients admitted to hospital with COVID-19, particularly in LMICs. National Council for Scientific and Technological Development (CNPq), Coordinating Agency for Advanced Training of Graduate Personnel (CAPES), Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro (FAPERJ), and Instituto de Salud Carlos III.
Sections du résumé
BACKGROUND
Most low-income and middle-income countries (LMICs) have little or no data integrated into a national surveillance system to identify characteristics or outcomes of COVID-19 hospital admissions and the impact of the COVID-19 pandemic on their national health systems. We aimed to analyse characteristics of patients admitted to hospital with COVID-19 in Brazil, and to examine the impact of COVID-19 on health-care resources and in-hospital mortality.
METHODS
We did a retrospective analysis of all patients aged 20 years or older with quantitative RT-PCR (RT-qPCR)-confirmed COVID-19 who were admitted to hospital and registered in SIVEP-Gripe, a nationwide surveillance database in Brazil, between Feb 16 and Aug 15, 2020 (epidemiological weeks 8-33). We also examined the progression of the COVID-19 pandemic across three 4-week periods within this timeframe (epidemiological weeks 8-12, 19-22, and 27-30). The primary outcome was in-hospital mortality. We compared the regional burden of hospital admissions stratified by age, intensive care unit (ICU) admission, and respiratory support. We analysed data from the whole country and its five regions: North, Northeast, Central-West, Southeast, and South.
FINDINGS
Between Feb 16 and Aug 15, 2020, 254 288 patients with RT-qPCR-confirmed COVID-19 were admitted to hospital and registered in SIVEP-Gripe. The mean age of patients was 60 (SD 17) years, 119 657 (47%) of 254 288 were aged younger than 60 years, 143 521 (56%) of 254 243 were male, and 14 979 (16%) of 90 829 had no comorbidities. Case numbers increased across the three 4-week periods studied: by epidemiological weeks 19-22, cases were concentrated in the North, Northeast, and Southeast; by weeks 27-30, cases had spread to the Central-West and South regions. 232 036 (91%) of 254 288 patients had a defined hospital outcome when the data were exported; in-hospital mortality was 38% (87 515 of 232 036 patients) overall, 59% (47 002 of 79 687) among patients admitted to the ICU, and 80% (36 046 of 45 205) among those who were mechanically ventilated. The overall burden of ICU admissions per ICU beds was more pronounced in the North, Southeast, and Northeast, than in the Central-West and South. In the Northeast, 1545 (16%) of 9960 patients received invasive mechanical ventilation outside the ICU compared with 431 (8%) of 5388 in the South. In-hospital mortality among patients younger than 60 years was 31% (4204 of 13 468) in the Northeast versus 15% (1694 of 11 196) in the South.
INTERPRETATION
We observed a widespread distribution of COVID-19 across all regions in Brazil, resulting in a high overall disease burden. In-hospital mortality was high, even in patients younger than 60 years, and worsened by existing regional disparities within the health system. The COVID-19 pandemic highlights the need to improve access to high-quality care for critically ill patients admitted to hospital with COVID-19, particularly in LMICs.
FUNDING
National Council for Scientific and Technological Development (CNPq), Coordinating Agency for Advanced Training of Graduate Personnel (CAPES), Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro (FAPERJ), and Instituto de Salud Carlos III.
Identifiants
pubmed: 33460571
pii: S2213-2600(20)30560-9
doi: 10.1016/S2213-2600(20)30560-9
pmc: PMC7834889
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
407-418Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2021 Elsevier Ltd. All rights reserved.
Références
Crit Care. 2019 Jan 29;23(1):34
pubmed: 30696474
BMJ Glob Health. 2018 Jul 3;3(4):e000829
pubmed: 29997906
Cad Saude Publica. 2020 Apr 22;36(4):e00070120
pubmed: 32321075
Rev Soc Bras Med Trop. 2020 Nov 06;53:e20200558
pubmed: 33174964
Rev Soc Bras Med Trop. 2020;53:e20200354
pubmed: 32638888
Cad Saude Publica. 2020;36(7):e00120020
pubmed: 32638881
Intensive Care Med. 2015 Dec;41(12):2149-60
pubmed: 26499477
Science. 2020 Sep 4;369(6508):1255-1260
pubmed: 32703910
Ann Intensive Care. 2020 Jun 1;10(1):68
pubmed: 32488524
J Crit Care. 2020 Oct;59:118-123
pubmed: 32610246
Int J Equity Health. 2016 Nov 17;15(1):141
pubmed: 27852270
Lancet Glob Health. 2020 Jul;8(7):e890-e892
pubmed: 32464111
Ann Intern Med. 2021 Jan;174(1):125-127
pubmed: 32687717
JAMA Intern Med. 2020 Oct 1;180(10):1345-1355
pubmed: 32667669
Crit Care. 2013 Apr 04;17(2):R63
pubmed: 23557378
Intensive Care Med. 2020 Nov;46(11):2086-2088
pubmed: 33000290
Lancet. 2018 Sep 1;392(10149):760-775
pubmed: 30037735
Front Pharmacol. 2019 Sep 23;10:984
pubmed: 31607900
Int J Equity Health. 2017 Dec 4;16(1):209
pubmed: 29202757
Intensive Care Med. 2014 Mar;40(3):342-52
pubmed: 24337401
Crit Care. 2020 Aug 21;24(1):516
pubmed: 32825837
Lancet Infect Dis. 2017 Nov;17(11):1180-1189
pubmed: 28826588
Lancet Glob Health. 2020 Nov;8(11):e1390-e1398
pubmed: 32979314
J Crit Care. 2019 Apr;50:82-86
pubmed: 30502687
BMJ. 2020 May 22;369:m1985
pubmed: 32444460
Cad Saude Publica. 2019 Jun 13;35Suppl 2(Suppl 2):e00076118
pubmed: 31215596
Lancet Respir Med. 2020 Sep;8(9):853-862
pubmed: 32735842