Literature DB >> 33875742

Prevalence and prognostic associations of cardiac abnormalities among hospitalized patients with COVID-19: a systematic review and meta-analysis.

Louie F Dy1,2, Ryan C V Lintao3, Cynthia P Cordero4, Ian Theodore G Cabaluna5, Leonila F Dans4,5.   

Abstract

Although most patients recover from COVID-19, it has been linked to cardiac, pulmonary, and neurologic complications. Despite not having formal criteria for its diagnosis, COVID-19 associated cardiomyopathy has been observed in several studies through biomarkers and imaging. This study aims to estimate the proportion of COVID-19 patients with cardiac abnormalities and to determine the association between the cardiac abnormalities in COVID-19 patients and disease severity and mortality. Observational studies published from December 1, 2019 to September 30, 2020 were obtained from electronic databases (PubMed, Embase, Cochrane Library, CNKI) and preprint servers (medRxiv, bioRxiv, ChinaXiv). Studies that have data on prevalence were included in the calculation of the pooled prevalence, while studies with comparison group were included in the calculation of the odds ratio. If multiple tests were done in the same study yielding different prevalence values, the largest one was used as the measure of prevalence of that particular study. Metafor using R software package version 4.0.2 was used for the meta-analysis. A total of 400 records were retrieved from database search, with 24 articles included in the final analysis. Pooled prevalence of cardiac abnormalities in 20 studies was calculated to be 0.31 [95% Confidence Intervals (CI) of (0.23; 0.41)], with statistically significant heterogeneity (percentage of variation or I-squared statistic I2 = 97%, p < 0.01). Pooled analysis of 19 studies showed an overall odds ratio (OR) of 6.87 [95%-CI (3.92; 12.05)] for cardiac abnormalities associated with disease severity and mortality, with statistically significant heterogeneity (I2 = 85%, between-study variance or tau-squared statistic τ2 = 1.1485, p < 0.01). Due to the high uncertainty in the pooled prevalence of cardiac abnormalities and the unquantifiable magnitude of risk (although an increased risk is certain) for severity or mortality among COVID-19 patients, much more long-term prognostic studies are needed to check for the long-term complications of COVID-19 and formalize definitive criteria of "COVID-19 associated cardiomyopathy".

Entities:  

Year:  2021        PMID: 33875742     DOI: 10.1038/s41598-021-87961-x

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  6 in total

1.  Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data.

Authors:  Theo Stijnen; Taye H Hamza; Pinar Ozdemir
Journal:  Stat Med       Date:  2010-12-20       Impact factor: 2.373

2.  Bias in meta-analysis detected by a simple, graphical test.

Authors:  M Egger; G Davey Smith; M Schneider; C Minder
Journal:  BMJ       Date:  1997-09-13

3.  Meta-analysis in clinical trials.

Authors:  R DerSimonian; N Laird
Journal:  Control Clin Trials       Date:  1986-09

4.  Errors in Statistical Numbers and Data in Study of Cardiovascular Magnetic Resonance Imaging in Patients Recently Recovered From COVID-19.

Authors:  Eike Nagel; Valentina O Puntmann
Journal:  JAMA Cardiol       Date:  2020-11-01       Impact factor: 14.676

5.  Persistent Symptoms in Patients After Acute COVID-19.

Authors:  Angelo Carfì; Roberto Bernabei; Francesco Landi
Journal:  JAMA       Date:  2020-08-11       Impact factor: 56.272

  6 in total
  3 in total

1.  Cardiac biomarkers and COVID-19: A systematic review and meta-analysis.

Authors:  Wen An; Ju-Seop Kang; Qiuyang Wang; Tae-Eun Kim
Journal:  J Infect Public Health       Date:  2021-07-29       Impact factor: 7.537

Review 2.  COVID-19 Cardiovascular Connection: A Review of Cardiac Manifestations in COVID-19 Infection and Treatment Modalities.

Authors:  Theresa Maitz; Dominic Parfianowicz; Ashley Vojtek; Yasotha Rajeswaran; Apurva V Vyas; Rahul Gupta
Journal:  Curr Probl Cardiol       Date:  2022-03-26       Impact factor: 16.464

3.  Impact of SARS-Cov-2 infection in patients with hypertrophic cardiomyopathy: results of an international multicentre registry.

Authors:  Juan R Gimeno; Iacopo Olivotto; Ana Isabel Rodríguez; Carolyn Y Ho; Adrián Fernández; Alejandro Quiroga; Mari Angeles Espinosa; Cristina Gómez-González; María Robledo; Lucas Tojal-Sierra; Sharlene M Day; Anjali Owens; Roberto Barriales-Villa; Jose María Larrañaga; Jose Rodríguez-Palomares; Maribel González-Del-Hoyo; Jesús Piqueras-Flores; Nosheen Reza; Olga Chumakova; Euan A Ashley; Victoria Parikh; Matthew Wheeler; Daniel Jacoby; Alexandre C Pereira; Sara Saberi; Adam S Helms; Eduardo Villacorta; María Gallego-Delgado; Daniel de Castro; Fernando Domínguez; Tomás Ripoll-Vera; Esther Zorio-Grima; José Carlos Sánchez-Martínez; Ana García-Álvarez; Elena Arbelo; María Victoria Mogollón; María Eugenia Fuentes-Cañamero; Elias Grande; Carlos Peña; Lorenzo Monserrat; Neal K Lakdawala
Journal:  ESC Heart Fail       Date:  2022-06-03
  3 in total

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