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

dc.contributor.authorCosta, João Cordeiro da
dc.contributor.authorManso, Maria Conceição
dc.contributor.authorGregório, Susana
dc.contributor.authorLeite, Márcia
dc.contributor.authorPinto, João Moreira
dc.date.accessioned2023-05-18T14:39:25Z
dc.date.available2023-05-18T14:39:25Z
dc.date.issued2022-06-23
dc.description.abstractBackground: 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBarthel’s Index: A Better Predictor for COVID-19 Mortality Than Comorbidities. Tuberc Respir Dis. 2022; 85(4): 349-357. https://doi.org/10.4046/trd.2022.0006pt_PT
dc.identifier.doihttps://doi.org/10.4046/trd.2022.0006pt_PT
dc.identifier.eissn2005-6184
dc.identifier.issn1738-3536
dc.identifier.urihttp://hdl.handle.net/10400.8/8485
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.publisherversionhttps://www.e-trd.org/journal/view.php?doi=10.4046/trd.2022.0006pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectCOVID-19pt_PT
dc.subjectInfectionspt_PT
dc.subjectMortalitypt_PT
dc.subjectElderlypt_PT
dc.subjectFrailtypt_PT
dc.titleBarthel’s Index: A Better Predictor for COVID-19 Mortality Than Comorbiditiespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage357pt_PT
oaire.citation.issue4pt_PT
oaire.citation.startPage349pt_PT
oaire.citation.titleTuberculosis and Respiratory Diseasespt_PT
oaire.citation.volume85pt_PT
person.familyNameCordeiro da Costa
person.givenNameJoão
person.identifier.ciencia-idAE1D-37CA-EE00
person.identifier.orcid0000-0003-0289-1778
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication93887800-3d85-4bcf-b4ae-a82de66a538a
relation.isAuthorOfPublication.latestForDiscovery93887800-3d85-4bcf-b4ae-a82de66a538a

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