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Cardiovascular Risk Factors and Clinical Outcomes Among Patients Hospitalized With Covid-19: Findings From the World Heart Federation Covid-19 Study Publisher Pubmed



Prabhakaran D1 ; Singh K2, 3, 4 ; Kondal D3 ; Raspail L5 ; Mohan B6 ; Kato T7, 8 ; Sarrafzadegan N9, 10 ; Talukder SH11 ; Akter S12 ; Amin MR13 ; Goma F14 ; Gomezmesa J15 ; Ntusi N16 ; Inofomoh F17 Show All Authors
Authors
  1. Prabhakaran D1
  2. Singh K2, 3, 4
  3. Kondal D3
  4. Raspail L5
  5. Mohan B6
  6. Kato T7, 8
  7. Sarrafzadegan N9, 10
  8. Talukder SH11
  9. Akter S12
  10. Amin MR13
  11. Goma F14
  12. Gomezmesa J15
  13. Ntusi N16
  14. Inofomoh F17
  15. Deora S18
  16. Philippov E19
  17. Svarovskaya A20
  18. Konradi A21
  19. Puentes A22
  20. Ogah OS23
  21. Stanetic B24
  22. Issa A25
  23. Thienemann F26, 27
  24. Juzar D28, 29
  25. Zaidel E29, 30
  26. Sheikh S31
  27. Ojji D32
  28. Lam CSP33, 34
  29. Ge J35
  30. Banerjee A36
  31. Newby LK37
  32. Ribeiro ALP38
  33. Gidding S5
  34. Pinto F39
  35. Perel P40
  36. Sliwa K41

Source: Global Heart Published:2022


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. © 2022 The Author(s).
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