Association between pre-existing conditions and hospitalization, intensive care services and mortality from COVID-19 – a cross sectional analysis of an international global health data repository

Author:

Elsayed Basant M. S.,Altarawneh Lina,Farooqui Habib Hassan,Khan Muhammed Naseem,Babu Giridhara Rathnaiah,Doi Suhail A.R.,Chivese TawandaORCID

Abstract

AbstractObjectiveTo investigate the association between pre-existing conditions and hospitalization, need for intensive care services (ICU) and mortality due to COVID-19.MethodsWe used data on all cases recorded in the Global Health Data repository up to the 10thof March 2021 to carry out a cross-sectional analysis of associations between cardiovascular diseases (CVD), hypertension, diabetes, obesity, lung diseases and kidney disease and hospitalization, ICU admission and mortality due to COVID-19. The Global Health repository reported data from 137 countries, but only Brazil, Mexico and Cuba reported more than 10 COVID-19 cases in participants with preexisting conditions. We used multivariable logistic regression to compute adjusted odds ratios (aOR) of the three outcomes for each pre-existing condition in ten-year age groups from 0-9 years and up to 110-120 years.ResultsThe Global Health repository held 25 900 000 records of confirmed cases of COVID-19, of which 2 900 000 cases were from Brazil, Mexico and Cuba. The overall adjusted odds of hospitalization for the selected pre-existing condition were; CVD (OR 1.7, 95%CI 1.7-1.7), hypertension (OR 1.5, 95%CI 1.4-1.5), diabetes (OR 2.2, 95%CI 2.1-2.2), obesity (OR 1.7, 95%CI 1.6-1.7), kidney disease (OR 5.5, 95%CI 5.2-5.7) and lung disease (OR 1.9, 95%CI 1.8-1.9). The overall adjusted odds of ICU admission for each pre-existing condition were; CVD (OR 2.1, 95%CI 1.8-2.4), hypertension (OR 1.3, 95%CI 1.2-1.4), diabetes (OR 1.7, 95%CI 1.5-1.8), obesity (OR 2.2, 95%%CI 2.1-2.4), kidney disease (OR 1.4, 95%CI 1.2-1.7) and lung disease (OR 1.1, 95%CI 0.9-1.3). The overall adjusted odds of mortality for each pre-existing condition were; CVD (OR 1.7, 95%CI 1.6-1.7), hypertension (OR 1.3, 95%CI 1.3-1.4), diabetes (OR 2.0, 95%CI 1.9-2.0), obesity (OR 1.9, 95%CI 1.8-2.0), kidney disease (OR 2.7, 95%CI 2.6-2.9) and lung disease (OR 1.6, 95%CI 1.5-1.7). The odds of each outcome were considerably larger in children and young adults with these preexisting conditions than for adults, especially for kidney disease, CVD, and diabetes.ConclusionThis analysis of a global health repository confirms associations between pre-existing diseases and clinical outcomes of COVID-19. The odds of these outcomes are especially elevated in children and young adults with these preexisting conditions.

Publisher

Cold Spring Harbor Laboratory

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