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Barthel’s Index: A Better Predictor for COVID-19 Mortality Than Comorbidities

BACKGROUND: The most consistently identified mortality determinants for the new coronavirus 2019 (COVID-19) infection are aging, male sex, cardiovascular/respiratory diseases, and cancer. They were determined from heterogeneous cohorts that included patients with different disease severity and previ...

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Autores principales: da Costa, João Cordeiro, Manso, Maria Conceição, Gregório, Susana, Leite, Márcia, Pinto, João Moreira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Tuberculosis and Respiratory Diseases 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537660/
https://www.ncbi.nlm.nih.gov/pubmed/35734879
http://dx.doi.org/10.4046/trd.2022.0006
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author da Costa, João Cordeiro
Manso, Maria Conceição
Gregório, Susana
Leite, Márcia
Pinto, João Moreira
author_facet da Costa, João Cordeiro
Manso, Maria Conceição
Gregório, Susana
Leite, Márcia
Pinto, João Moreira
author_sort da Costa, João Cordeiro
collection PubMed
description BACKGROUND: The most consistently identified mortality determinants for the new coronavirus 2019 (COVID-19) infection are aging, male sex, cardiovascular/respiratory diseases, and cancer. They were determined from heterogeneous cohorts that included patients with different disease severity and previous conditions. The main goal of this study was to determine if activities of daily living (ADL) dependence measured by Barthel’s index could be a predictor for COVID-19 mortality. METHODS: A prospective cohort study was performed with a consecutive sample of 340 COVID-19 patients representing patients from all over the northern region of Portugal from October 2020 to March 2021. Mortality risk factors were determined after controlling for demographics, ADL dependence, admission time, comorbidities, clinical manifestations, and delay-time for diagnosis. Central tendency measures were used to analyze continuous variables and absolute numbers (proportions) for categorical variables. For univariable analysis, we used t test, chi-square test, or Fisher exact test as appropriate (α=0.05). Multivariable analysis was performed using logistic regression. IBM SPSS version 27 statistical software was used for data analysis. RESULTS: The cohort included 340 patients (55.3% females) with a mean age of 80.6±11.0 years. The mortality rate was 19.7%. Univariate analysis revealed that aging, ADL dependence, pneumonia, and dementia were associated with mortality and that dyslipidemia and obesity were associated with survival. In multivariable analysis, dyslipidemia (odds ratio [OR], 0.35; 95% confidence interval [CI], 0.17–0.71) was independently associated with survival. Age ≥86 years (pooled OR, 2.239; 95% CI, 1.100–4.559), pneumonia (pooled OR, 3.00; 95% CI, 1.362–6.606), and ADL dependence (pooled OR, 6.296; 95% CI, 1.795–22.088) were significantly related to mortality (receiver operating characteristic area under the curve, 82.1%; p<0.001). CONCLUSION: ADL dependence, aging, and pneumonia are three main predictors for COVID-19 mortality in an elderly population.
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spelling pubmed-95376602022-10-17 Barthel’s Index: A Better Predictor for COVID-19 Mortality Than Comorbidities da Costa, João Cordeiro Manso, Maria Conceição Gregório, Susana Leite, Márcia Pinto, João Moreira Tuberc Respir Dis (Seoul) Original Article BACKGROUND: The most consistently identified mortality determinants for the new coronavirus 2019 (COVID-19) infection are aging, male sex, cardiovascular/respiratory diseases, and cancer. They were determined from heterogeneous cohorts that included patients with different disease severity and previous conditions. The main goal of this study was to determine if activities of daily living (ADL) dependence measured by Barthel’s index could be a predictor for COVID-19 mortality. METHODS: A prospective cohort study was performed with a consecutive sample of 340 COVID-19 patients representing patients from all over the northern region of Portugal from October 2020 to March 2021. Mortality risk factors were determined after controlling for demographics, ADL dependence, admission time, comorbidities, clinical manifestations, and delay-time for diagnosis. Central tendency measures were used to analyze continuous variables and absolute numbers (proportions) for categorical variables. For univariable analysis, we used t test, chi-square test, or Fisher exact test as appropriate (α=0.05). Multivariable analysis was performed using logistic regression. IBM SPSS version 27 statistical software was used for data analysis. RESULTS: The cohort included 340 patients (55.3% females) with a mean age of 80.6±11.0 years. The mortality rate was 19.7%. Univariate analysis revealed that aging, ADL dependence, pneumonia, and dementia were associated with mortality and that dyslipidemia and obesity were associated with survival. In multivariable analysis, dyslipidemia (odds ratio [OR], 0.35; 95% confidence interval [CI], 0.17–0.71) was independently associated with survival. Age ≥86 years (pooled OR, 2.239; 95% CI, 1.100–4.559), pneumonia (pooled OR, 3.00; 95% CI, 1.362–6.606), and ADL dependence (pooled OR, 6.296; 95% CI, 1.795–22.088) were significantly related to mortality (receiver operating characteristic area under the curve, 82.1%; p<0.001). CONCLUSION: ADL dependence, aging, and pneumonia are three main predictors for COVID-19 mortality in an elderly population. The Korean Academy of Tuberculosis and Respiratory Diseases 2022-10 2022-06-23 /pmc/articles/PMC9537660/ /pubmed/35734879 http://dx.doi.org/10.4046/trd.2022.0006 Text en Copyright © 2022 The Korean Academy of Tuberculosis and Respiratory Diseases https://creativecommons.org/licenses/by-nc/4.0/It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ).
spellingShingle Original Article
da Costa, João Cordeiro
Manso, Maria Conceição
Gregório, Susana
Leite, Márcia
Pinto, João Moreira
Barthel’s Index: A Better Predictor for COVID-19 Mortality Than Comorbidities
title Barthel’s Index: A Better Predictor for COVID-19 Mortality Than Comorbidities
title_full Barthel’s Index: A Better Predictor for COVID-19 Mortality Than Comorbidities
title_fullStr Barthel’s Index: A Better Predictor for COVID-19 Mortality Than Comorbidities
title_full_unstemmed Barthel’s Index: A Better Predictor for COVID-19 Mortality Than Comorbidities
title_short Barthel’s Index: A Better Predictor for COVID-19 Mortality Than Comorbidities
title_sort barthel’s index: a better predictor for covid-19 mortality than comorbidities
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537660/
https://www.ncbi.nlm.nih.gov/pubmed/35734879
http://dx.doi.org/10.4046/trd.2022.0006
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