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Comorbidities predict 30-day hospital mortality of older adults with COVID-19

We evaluated whether comorbidities predict disease severity and mortality in a cohort of 147 older adults with COVID-19. Patients were divided into three groups according to the Charlson Comorbidity Index (CCI) score. Groups 2 (CCI 4 – 5) and 3 (CCI ≥ 6) had higher 30-day mortality rate as compared...

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Detalles Bibliográficos
Autores principales: Pott Junior, Henrique, Cominetti, Marcia Regina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214174/
https://www.ncbi.nlm.nih.gov/pubmed/34256151
http://dx.doi.org/10.1016/j.gerinurse.2021.06.011
Descripción
Sumario:We evaluated whether comorbidities predict disease severity and mortality in a cohort of 147 older adults with COVID-19. Patients were divided into three groups according to the Charlson Comorbidity Index (CCI) score. Groups 2 (CCI 4 – 5) and 3 (CCI ≥ 6) had higher 30-day mortality rate as compared to group 1 (CCI ≤ 3). Cox regression showed that even after adding sex, National Early Warning Score (NEWS) 2 score and the need for intensive care unit admission to the model, no significant changes were found in the mortality risk predicted by the CCI score, showing that chronic pathologies are key determinants of short-term survival in COVID-19. This work is important for the geriatric nursing field as it demonstrates that alternative approaches for clinical decision-making that consider the comorbidities, rather than only chronological age, can be especially significant for the management of COVID-19 patients’ hospitalization.