Coronary heart disease and COVID-19: A meta-analysis
- PMID: 33632508
- PMCID: PMC7843088
- DOI: 10.1016/j.medcli.2020.12.017
Coronary heart disease and COVID-19: A meta-analysis
Abstract
Objective: Since the World Health Organization (WHO) announced coronavirus disease 2019 (COVID-19) had become a global pandemic on March 11, 2020, the number of infections has been increasing. The purpose of this meta-analysis was to investigate the prognosis of COVID-19 in patients with coronary heart disease.
Method: Pubmed, Embase, and Cochrane Library databases were searched to collect the literature concerning coronary heart disease and COVID-19. The retrieval time was from inception to Nov 20, 2020, using Stata version 14.0 for meta-analysis.
Results: A total of 22,148 patients from 40 studies were included. The meta-analysis revealed that coronary heart disease was associated with poor prognosis of COVID-19 (OR=3.42, 95%CI [2.83, 4.13], P<0.001). After subgroup analysis, coronary heart disease was found to be related to mortality (OR=3.75, 95%CI [2.91, 4.82], P<0.001), severe/critical COVID-19 (OR=3.23, 95%CI [2.19, 4.77], P<0.001), ICU admission (OR=2.25, 95%CI [1.34, 3.79], P=0.002), disease progression (OR=3.01, 95%CI [1.46, 6.22], P=0.003); Meta-regression showed that the association between coronary heart disease and poor prognosis of COVID-19 was affected by hypertension (P=0.004), and subgroup analysis showed that compared with the proportion of hypertension >30% (OR=2.85, 95%CI [2.33, 3.49]), the proportion of hypertension <30% (OR=4.78, 95%CI [3.50, 6.51]) had a higher risk of poor prognosis.
Conclusion: Coronary heart disease is a risk factor for poor prognosis in patients with COVID-19.
Objetivo: Desde que la Organización Mundial de la Salud (OMS) anunció que la enfermedad por coronavirus de 2019 (COVID-19) se había convertido en una pandemia global el 11 de marzo de 2020, se ha incrementado el número de infecciones. El objetivo de este metaanálisis fue investigar el pronóstico de la COVID-19 en pacientes con cardiopatía coronaria.
Método: Se realizó una búsqueda en las bases de datos de Pubmed, Embase y Cochrane Library para reunir la literatura relativa a cardiopatía coronaria y COVID-19. El tiempo de recuperación de datos fue desde el inicio hasta el 20 de noviembre de 2020, utilizando la versión 14.0 de Stata® para el metaanálisis.
Resultados: Se incluyó un total de 22.148 pacientes de 40 estudios. El metaanálisis reveló que la cardiopatía coronaria estaba asociada a un mal pronóstico de COVID-19 (OR: 3,42; IC 95%: 2,83-4,13; p < 0,001). Tras el análisis de subgrupo, se encontró que la cardiopatía coronaria tenía relación con la mortalidad (OR: 3,75; IC 95%: 2,91-4,82; p < 0,001), COVID-19 grave/crítica (OR: 3,23; IC 95%: 2,19-4,77; p < 0,001), ingreso en la UCI (OR: 2,25; IC 95%: 1,34-3,79; p = 0,002), progresión de la enfermedad (OR: 3,01; IC 95%: 1,46-6,22; p = 0,003). La metarregresión reflejó que la asociación entre cardiopatía coronaria y mal pronóstico de la COVID-19 estaba influida por la hipertensión (p = 0,004), y el análisis de subgrupo mostró que comparada con la proporción de hipertensión > 30% (OR: 2,85; IC 95%: 2,33-3,49), la proporción de hipertensión < 30% (OR: 4,78; IC 95%: 3,50-6,51) tenía mayor riesgo de mal pronóstico.
Conclusión: La cardiopatía coronaria es un factor de riesgo de mal pronóstico en pacientes con COVID-19.
Keywords: COVID-19; Cardiopatía coronaria; Coronary heart disease; Meta-analysis; Metaanálisis.
Copyright © 2021 Elsevier España, S.L.U. All rights reserved.
Figures




Similar articles
-
Coronary heart disease and COVID-19: A meta-analysis.Med Clin (Engl Ed). 2021 Jun 11;156(11):547-554. doi: 10.1016/j.medcle.2020.12.021. Epub 2021 Jun 5. Med Clin (Engl Ed). 2021. PMID: 34109276 Free PMC article.
-
Cardiovascular diseases burden in COVID-19: Systematic review and meta-analysis.Am J Emerg Med. 2021 Aug;46:382-391. doi: 10.1016/j.ajem.2020.10.022. Epub 2020 Oct 16. Am J Emerg Med. 2021. PMID: 33268238 Free PMC article.
-
Effects of the pre-existing coronary heart disease on the prognosis of COVID-19 patients: A systematic review and meta-analysis.PLoS One. 2023 Oct 10;18(10):e0292021. doi: 10.1371/journal.pone.0292021. eCollection 2023. PLoS One. 2023. PMID: 37815980 Free PMC article.
-
Effect of heart failure on the outcome of COVID-19 - A meta analysis and systematic review.Am J Emerg Med. 2021 Aug;46:204-211. doi: 10.1016/j.ajem.2020.07.009. Epub 2020 Jul 9. Am J Emerg Med. 2021. PMID: 33071085 Free PMC article.
-
[Logistic regression analysis of death risk factors of patients with severe and critical coronavirus disease 2019 and their predictive value].Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2020 May;32(5):544-547. doi: 10.3760/cma.j.cn121430-20200507-00364. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2020. PMID: 32576344 Chinese.
Cited by
-
The outcome and risk factors associated with central and peripheral nervous system involvement in hospitalized COVID-19 patients: a retrospective cohort study.Front Neurol. 2024 Jan 11;14:1338593. doi: 10.3389/fneur.2023.1338593. eCollection 2023. Front Neurol. 2024. PMID: 38274890 Free PMC article.
-
The Impact of the COVID-19 Emergency on Life Activities and Delivery of Healthcare Services in the Elderly Population.J Clin Med. 2021 Sep 10;10(18):4089. doi: 10.3390/jcm10184089. J Clin Med. 2021. PMID: 34575200 Free PMC article.
-
Predictive Value of MHR, PLR Combined With NLRP1 for Severity and Long-Term Prognosis in Premature Coronary Artery Disease.Immun Inflamm Dis. 2025 May;13(5):e70202. doi: 10.1002/iid3.70202. Immun Inflamm Dis. 2025. PMID: 40387676 Free PMC article.
-
Exploration of the common pathogenic link between COVID-19 and diabetic foot ulcers: An in silico approach.Health Sci Rep. 2023 Nov 5;6(11):e1686. doi: 10.1002/hsr2.1686. eCollection 2023 Nov. Health Sci Rep. 2023. PMID: 37936615 Free PMC article.
-
Machine learning-based prediction models for home discharge in patients with COVID-19: Development and evaluation using electronic health records.PLoS One. 2023 Oct 20;18(10):e0292888. doi: 10.1371/journal.pone.0292888. eCollection 2023. PLoS One. 2023. PMID: 37862334 Free PMC article.
References
-
- 2020. Coronavirus update (Live): 61,452,584 Cases and 1,440,629 Deaths from COVID-19 Virus Pandemic – Worldometer. https://www.worldometers.info/coronavirus/ [accessed 27.11.20]
-
- National Health Commission of the People's Republic of China Diagnosis and treatment protocol for COVID-19 (trial version 7) Infect Dis Inf. 2020;33:1–6. 26.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical