Cardiovascular Risk Factors and Clinical Outcomes among Patients Hospitalized with COVID-19: Findings from the World Heart Federation COVID-19 Study

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Background and aims:

Limited data exist on the cardiovascular manifestations and risk factors in people hospitalized with COVID-19 from low- and middle-income countries. This study aims to describe cardiovascular risk factors, clinical manifestations, and outcomes among patients hospitalized with COVID-19 in low, lower-middle, upper-middle- and high-income countries (LIC, LMIC, UMIC, HIC).

Methods:

Through a prospective cohort study, data on demographics and pre-existing conditions at hospital admission, clinical outcomes at hospital discharge (death, major adverse cardiovascular events (MACE), renal failure, neurological events, and pulmonary outcomes), 30-day vital status, and re-hospitalization were collected. Descriptive analyses and multivariable log-binomial regression models, adjusted for age, sex, ethnicity/income groups, and clinical characteristics, were performed.

Results:

Forty hospitals from 23 countries recruited 5,313 patients with COVID-19 (LIC = 7.1%, LMIC = 47.5%, UMIC = 19.6%, HIC = 25.7%). Mean age was 57.0 (±16.1) years, male 59.4%, pre-existing conditions included: hypertension 47.3%, diabetes 32.0%, coronary heart disease 10.9%, and heart failure 5.5%. The most frequently reported cardiovascular discharge diagnoses were cardiac arrest (5.5%), acute heart failure (3.8%), and myocardial infarction (1.6%). The rate of in-hospital deaths was 12.9% (N = 683), and post-discharge 30 days deaths was 2.6% (N = 118) (overall death rate 15.1%). The most common causes of death were respiratory failure (39.3%) and sudden cardiac death (20.0%). The predictors of overall mortality included older age (≥60 years), male sex, pre-existing coronary heart disease, renal disease, diabetes, ICU admission, oxygen therapy, and higher respiratory rates (p < 0.001 for each). Compared to Caucasians, Asians, Blacks, and Hispanics had almost 2–4 times higher risk of death. Further, patients from LIC, LMIC, UMIC versus. HIC had 2–3 times increased risk of death.

Conclusions:

The LIC, LMIC, and UMIC’s have sparse data on COVID-19. We provide robust evidence on COVID-19 outcomes in these countries. This study can help guide future health care planning for the pandemic globally.

Related collections

Most cited references 47

Record: found
Abstract: found
Article: not found

Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Paul A. Harris, Robert Taylor, Robert Thielke … (2009)

Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.

0 comments Cited 9933 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

The REDCap consortium: Building an international community of software platform partners

Paul Harris, Robert Taylor, Brenda Minor … (2019)

The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.

0 comments Cited 5161 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study

Xiaobo Yang, Yuan Yu, Jiqian Xu … (2020)

Summary Background An ongoing outbreak of pneumonia associated with the severe acute respiratory coronavirus 2 (SARS-CoV-2) started in December, 2019, in Wuhan, China. Information about critically ill patients with SARS-CoV-2 infection is scarce. We aimed to describe the clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia. Methods In this single-centered, retrospective, observational study, we enrolled 52 critically ill adult patients with SARS-CoV-2 pneumonia who were admitted to the intensive care unit (ICU) of Wuhan Jin Yin-tan hospital (Wuhan, China) between late December, 2019, and Jan 26, 2020. Demographic data, symptoms, laboratory values, comorbidities, treatments, and clinical outcomes were all collected. Data were compared between survivors and non-survivors. The primary outcome was 28-day mortality, as of Feb 9, 2020. Secondary outcomes included incidence of SARS-CoV-2-related acute respiratory distress syndrome (ARDS) and the proportion of patients requiring mechanical ventilation. Findings Of 710 patients with SARS-CoV-2 pneumonia, 52 critically ill adult patients were included. The mean age of the 52 patients was 59·7 (SD 13·3) years, 35 (67%) were men, 21 (40%) had chronic illness, 51 (98%) had fever. 32 (61·5%) patients had died at 28 days, and the median duration from admission to the intensive care unit (ICU) to death was 7 (IQR 3–11) days for non-survivors. Compared with survivors, non-survivors were older (64·6 years [11·2] vs 51·9 years [12·9]), more likely to develop ARDS (26 [81%] patients vs 9 [45%] patients), and more likely to receive mechanical ventilation (30 [94%] patients vs 7 [35%] patients), either invasively or non-invasively. Most patients had organ function damage, including 35 (67%) with ARDS, 15 (29%) with acute kidney injury, 12 (23%) with cardiac injury, 15 (29%) with liver dysfunction, and one (2%) with pneumothorax. 37 (71%) patients required mechanical ventilation. Hospital-acquired infection occurred in seven (13·5%) patients. Interpretation The mortality of critically ill patients with SARS-CoV-2 pneumonia is considerable. The survival time of the non-survivors is likely to be within 1–2 weeks after ICU admission. Older patients (>65 years) with comorbidities and ARDS are at increased risk of death. The severity of SARS-CoV-2 pneumonia poses great strain on critical care resources in hospitals, especially if they are not adequately staffed or resourced. Funding None.

0 comments Cited 4937 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Contributors

Dorairaj Prabhakaran:

ORCID: https://orcid.org/0000-0002-3172-834X

Journal

Journal ID (nlm-ta): Glob Heart

Journal ID (iso-abbrev): Glob Heart

Journal ID (issn): 2211-8179

Title: Global Heart

Publisher: Ubiquity Press

ISSN (Print): 2211-8160

ISSN (Electronic): 2211-8179

Publication date (Electronic, pub): 15 June 2022

Publication date Collection: 2022

Volume: 17

Issue: 1

Electronic Location Identifier: 40

Affiliations

[1 ]Public Health Foundation India, Centre for Chronic Disease Control, World Heart Federation, London School of Hygiene & Tropical Medicine, GB

[2 ]Public Health Foundation of India, Gurugram, Haryana, India, and Centre for Chronic Disease Control, New Delhi, IN

[3 ]Heidelberg Institute of Global Health, University of Heidelberg, Germany

[4 ]Centre for Chronic Disease Control, New Delhi, IN

[5 ]World Heart Federation, Geneva, CH

[6 ]Department of Cardiology, Dayanand Medical College, Ludhiana, Punjab, IN

[7 ]Department of Clinical Research, National Hospital Organization Tochigi Medical Centre, JP

[8 ]Department of Cardiovascular Medicine, Dokkyo Medical University School of Medicine, JP

[9 ]Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran & School of Population and Public Health, University of British Columbia, Vancouver, CA

[10 ]Kuwait Bangladesh Friendship Government Hospital, BD

[11 ]National Coordinator, Eminence, Bangladesh

[12 ]Dhaka Medical College Hospital, BD

[13 ]Centre for Primary Care Research/Levy Mwanawasa University Teaching Hospital, Lusaka, ZM

[14 ]Head. Cardiology Service. Fundación Valle del Lili. Cali, CO

[15 ]Division of Cardiology, Department of Medicine and Cape Heart Institute, Faculty of Health Sciences, University of Cape Town and Groote Schuur Hospital, ZA

[16 ]Internal Medicine Department, Olabisi Onabanjo University Teaching Hospital, PMB 2001, Sagamu, NG

[17 ]Department of Cardiology, All India Institute of Medical Sciences, Jodhpur, IN

[18 ]Ryazan State Medical University, Ryazan emergency hospital, 85 Stroykova street, Ryazan, RU

[19 ]Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, RU

[20 ]Almazov National Medical Research Centre, St.Petersburg, RU

[21 ]ISSSTE Clínica Hospital de Guanajuato, Cerro del Hormiguero S/N, Maria de la Luz, 36000 Guanajuato, Gto., Mexico, AS

[22 ]Department of Medicine, College of Medicine, University of Ibadan, and University College Hospital Ibadan, NG

[23 ]Department of Cardiology, University Clinical Centre of the Republic of Srpska, BA

[24 ]Instituto Nacional de Cardiologia, Rio de Janeiro, BR

[25 ]Cape Heart Institute, Department of Medicine, Faculty of Health Sciences, University of Cape Town, South Africa and Department of Internal Medicine, University Hospital Zurich, University of Zurich, CH

[26 ]National Cardiovascular Center Harapan Kita Hospital, Jakarta, ID

[27 ]Department Cardiology & Vascular medicine, University of Indonesia, ID

[28 ]Cardiology department, Sanatorio Güemes, and Pharmacology department, School of Medicine, University of Buenos Aires. Acuña de Figueroa 1228 (1180AAX), Buenos Aires, AR

[29 ]Department of clinical Research, Tabba Heart Institute. ST-1, block 2, Federal B area, Karachi, PK

[30 ]Department of Medicine, Faculty of Clinical Sciences, University of Abuja, and University of Abuja Teaching Hospital, NG

[31 ]National Heart Center Singapore and Duke-National University of Singapore, SG

[32 ]Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, NL

[33 ]Department of Cardiology, Zhongshan Hospital, Fudan University. Shanghai Institute of Cardiovascular Diseases, Shanghai, CN

[34 ]University College London, GB

[35 ]Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, US

[36 ]Cardiology Service and Telehealth Center, Hospital das Clínicas, and Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, BR

[37 ]Santa Maria University Hospital, CAML, CCUL, Faculdade de Medicina da Universidade de Lisboa, Lisbon, PT

[38 ]Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, World Heart Federation, CH

[39 ]Cape Heart Institute, Department of Medicine & Cardiology, Groote Schuur Hospital, Faculty of Health Sciences, University of Cape Town, South Africa, World Heart Federation, CH

Author notes

CORRESPONDING AUTHOR: Dorairaj Prabhakaran Public Health Foundation India, Centre for Chronic Disease Control, World Heart Federation, London School of Hygiene & Tropical Medicine, GB dprabhakaran@ 123456phfi.org

Author information

Dorairaj Prabhakaran https://orcid.org/0000-0002-3172-834X

Kavita Singh https://orcid.org/0000-0003-4330-666X

Dimple Kondal https://orcid.org/0000-0002-1417-9510

Pablo Perel https://orcid.org/0000-0002-2342-301X

Karen Sliwa https://orcid.org/0000-0002-8272-0911

Article

DOI: 10.5334/gh.1128

PMC ID: 9205371

PubMed ID: 35837356

SO-VID: 7302e906-ab2f-47ff-b7da-f406724ff220

License:

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.

History

Date received : 13 March 2022

Date accepted : 19 May 2022

Funding

Funded by: WHF, doi open-funder-registry10.13039/open_funder_registry10.13039/501100015708;

Funded by: Sanofi, doi open-funder-registry10.13039/open_funder_registry10.13039/100004339;

Funded by: Pfizer, doi open-funder-registry10.13039/open_funder_registry10.13039/100004319;

The WHF COVID-19 Global Cardiovascular Disease Study is funded by WHF and unconditional research grant by Sanofi and Pfizer. The study was conducted independently without any direct involvement of the funders. The funding agencies were not involved in the study design, conduct, analysis or reporting of the results or manuscript preparation.

Cardiovascular Risk Factors and Clinical Outcomes among Patients Hospitalized with COVID-19: Findings from the World Heart Federation COVID-19 Study

Read this article at

Abstract

Background and aims:

Methods:

Results:

Conclusions:

Related collections

UCL: Covid-19 Research

Most cited references 47

Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

The REDCap consortium: Building an international community of software platform partners

Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study

Author and article information

Contributors

Journal

Affiliations

Author notes

Author information

Article

History

Funding

Categories

Comments

Comment on this article

Similar content 124

Cited by 7

Most referenced authors 1,537