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Mesas AE, Cavero-Redondo I, Álvarez-Bueno C, et al. Predictors of in-hospital COVID-19 mortality: A comprehensive systematic review and meta-analysis exploring differences by age, sex and health conditions. PLoS One. 2020;15(11):e0241742doi: 10.1371/journal.pone.0241742.
Mesas, A. E., Cavero-Redondo, I., Álvarez-Bueno, C., Sarriá Cabrera, M. A., Maffei de Andrade, S., Sequí-Dominguez, I., & Martínez-Vizcaíno, V. (2020). Predictors of in-hospital COVID-19 mortality: A comprehensive systematic review and meta-analysis exploring differences by age, sex and health conditions. PloS one, 15(11), e0241742. https://doi.org/10.1371/journal.pone.0241742
Mesas, Arthur Eumann, et al. "Predictors of in-hospital COVID-19 mortality: A comprehensive systematic review and meta-analysis exploring differences by age, sex and health conditions." PloS one vol. 15,11 (2020): e0241742. doi: https://doi.org/10.1371/journal.pone.0241742
Mesas AE, Cavero-Redondo I, Álvarez-Bueno C, Sarriá Cabrera MA, Maffei de Andrade S, Sequí-Dominguez I, Martínez-Vizcaíno V. Predictors of in-hospital COVID-19 mortality: A comprehensive systematic review and meta-analysis exploring differences by age, sex and health conditions. PLoS One. 2020 Nov 03;15(11):e0241742. doi: 10.1371/journal.pone.0241742. eCollection 2020. PMID: 33141836; PMCID: PMC7608886.
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PLoS One. 2020 Nov 03;15(11):e0241742. doi: 10.1371/journal.pone.0241742. eCollection 2020.

Predictors of in-hospital COVID-19 mortality: A comprehensive systematic review and meta-analysis exploring differences by age, sex and health conditions.

PloS one

Arthur Eumann Mesas, Iván Cavero-Redondo, Celia Álvarez-Bueno, Marcos Aparecido Sarriá Cabrera, Selma Maffei de Andrade, Irene Sequí-Dominguez, Vicente Martínez-Vizcaíno

Affiliations

  1. Health and Social Research Centre, Universidad de Castilla-La Mancha, Cuenca, Spain.
  2. Postgraduate Program in Public Health, Universidade Estadual de Londrina, Londrina, Paraná, Brasil.
  3. Universidad Politécnica y Artística del Paraguay, Asunción, Paraguay.
  4. Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca, Chile.

PMID: 33141836 PMCID: PMC7608886 DOI: 10.1371/journal.pone.0241742

Abstract

OBJECTIVE: Risk factors for in-hospital mortality in confirmed COVID-19 patients have been summarized in numerous meta-analyses, but it is still unclear whether they vary according to the age, sex and health conditions of the studied populations. This study explored these variables as potential mortality predictors.

METHODS: A systematic review was conducted by searching the MEDLINE, Scopus, and Web of Science databases of studies available through July 27, 2020. The pooled risk was estimated with the odds ratio (p-OR) or effect size (p-ES) obtained through random-effects meta-analyses. Subgroup analyses and meta-regression were applied to explore differences by age, sex and health conditions. The MOOSE guidelines were strictly followed.

RESULTS: The meta-analysis included 60 studies, with a total of 51,225 patients (12,458 [24.3%] deaths) from hospitals in 13 countries. A higher in-hospital mortality risk was found for dyspnoea (p-OR = 2.5), smoking (p-OR = 1.6) and several comorbidities (p-OR range: 1.8 to 4.7) and laboratory parameters (p-ES range: 0.3 to -2.6). Age was the main source of heterogeneity, followed by sex and health condition. The following predictors were more markedly associated with mortality in studies with patients with a mean age ≤60 years: dyspnoea (p-OR = 4.3), smoking (p-OR = 2.8), kidney disease (p-OR = 3.8), hypertension (p-OR = 3.7), malignancy (p-OR = 3.7), diabetes (p-OR = 3.2), pulmonary disease (p-OR = 3.1), decreased platelet count (p-ES = -1.7), decreased haemoglobin concentration (p-ES = -0.6), increased creatinine (p-ES = 2.4), increased interleukin-6 (p-ES = 2.4) and increased cardiac troponin I (p-ES = 0.7). On the other hand, in addition to comorbidities, the most important mortality predictors in studies with older patients were albumin (p-ES = -3.1), total bilirubin (p-ES = 0.7), AST (p-ES = 1.8), ALT (p-ES = 0.4), urea nitrogen (p-ES), C-reactive protein (p-ES = 2.7), LDH (p-ES = 2.4) and ferritin (p-ES = 1.7). Obesity was associated with increased mortality only in studies with fewer chronic or critical patients (p-OR = 1.8).

CONCLUSION: The prognostic effect of clinical conditions on COVID-19 mortality vary substantially according to the mean age of patients.

PROSPERO REGISTRATION NUMBER: CRD42020176595.

Conflict of interest statement

The authors have declared that no competing interests exist

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