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Does the Charlson comorbidity index help predict the risk of death in COVID-19 patients?

OBJECTIVE: Comorbidities are diseases that coexist with a disease of interest or an index disease, which can directly affect the prognosis of the disease of interest or indirectly affect the choice of treatment. The Charlson comorbidity index (CCI) is the most widely used comorbidity index. In this...

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Autores principales: Comoglu, Senol, Kant, Aydin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Health Directorate of Istanbul 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039643/
https://www.ncbi.nlm.nih.gov/pubmed/35582508
http://dx.doi.org/10.14744/nci.2022.33349
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author Comoglu, Senol
Kant, Aydin
author_facet Comoglu, Senol
Kant, Aydin
author_sort Comoglu, Senol
collection PubMed
description OBJECTIVE: Comorbidities are diseases that coexist with a disease of interest or an index disease, which can directly affect the prognosis of the disease of interest or indirectly affect the choice of treatment. The Charlson comorbidity index (CCI) is the most widely used comorbidity index. In this study, it was aimed to examine the predictive role of the CCI score on the mortality of patients with COVID-19. METHODS: We have retrospectively analyzed COVID-19 patients whose diagnosis was confirmed by PCR and who were hospitalized in two centers between April 2020 and December 2020. The severity of comorbidity of the patients was categorized into five groups according to the CCI score: CCI score 0, CCI score 1–2, CCI score 3–4, CCI score 5–6, and CCI score ≥7. Factors affecting mortality and differences between groups classified by CCI were determined by logistic regression analysis and one-way analysis of variance. RESULTS: A total of 1,559 COVID-19 patients were included in the study and 70 (4.49%) patients had deceased. Half of the study population (n=793, 50.9%) had different comorbidities. The CCI score was 3.8±2.7 in deceased patients and 1.3±1.9 in surviving individuals. There was a positive correlation between CCI scores and mortality in COVID-19 patients, with each point increase in the CCI score increasing the risk of death by 2.5%. CCI score of 4 and above predicted mortality with 87.2% sensitivity and 97.9% negative predictive value. Five (0.6%) of 766 patients with CCI scores of 0, 16 (3.6%) of 439 patients with CCI scores of 1–2, 13 (6.9%) of 189 patients with CCI scores of 3–4, and a CCI score of 5, 13 (15.7%) of 83 patients with -6 and 23 (28.0%) of 82 patients with a CCI score of ≥7 died. CONCLUSION: CCI is a simple, easily applicable, and valid method for classifying comorbidities and estimating COVID-19 mortality. The close relationship between the CCI score and mortality reveals the reality of how important vaccination is, especially in this group of patients. Increasing awareness of potential comorbidities in COVID-19 patients can provide insight into the disease and to improve outcomes by identifying and treating patients earlier and more effectively.
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spelling pubmed-90396432022-05-16 Does the Charlson comorbidity index help predict the risk of death in COVID-19 patients? Comoglu, Senol Kant, Aydin North Clin Istanb Original Article - Infectious Diseases OBJECTIVE: Comorbidities are diseases that coexist with a disease of interest or an index disease, which can directly affect the prognosis of the disease of interest or indirectly affect the choice of treatment. The Charlson comorbidity index (CCI) is the most widely used comorbidity index. In this study, it was aimed to examine the predictive role of the CCI score on the mortality of patients with COVID-19. METHODS: We have retrospectively analyzed COVID-19 patients whose diagnosis was confirmed by PCR and who were hospitalized in two centers between April 2020 and December 2020. The severity of comorbidity of the patients was categorized into five groups according to the CCI score: CCI score 0, CCI score 1–2, CCI score 3–4, CCI score 5–6, and CCI score ≥7. Factors affecting mortality and differences between groups classified by CCI were determined by logistic regression analysis and one-way analysis of variance. RESULTS: A total of 1,559 COVID-19 patients were included in the study and 70 (4.49%) patients had deceased. Half of the study population (n=793, 50.9%) had different comorbidities. The CCI score was 3.8±2.7 in deceased patients and 1.3±1.9 in surviving individuals. There was a positive correlation between CCI scores and mortality in COVID-19 patients, with each point increase in the CCI score increasing the risk of death by 2.5%. CCI score of 4 and above predicted mortality with 87.2% sensitivity and 97.9% negative predictive value. Five (0.6%) of 766 patients with CCI scores of 0, 16 (3.6%) of 439 patients with CCI scores of 1–2, 13 (6.9%) of 189 patients with CCI scores of 3–4, and a CCI score of 5, 13 (15.7%) of 83 patients with -6 and 23 (28.0%) of 82 patients with a CCI score of ≥7 died. CONCLUSION: CCI is a simple, easily applicable, and valid method for classifying comorbidities and estimating COVID-19 mortality. The close relationship between the CCI score and mortality reveals the reality of how important vaccination is, especially in this group of patients. Increasing awareness of potential comorbidities in COVID-19 patients can provide insight into the disease and to improve outcomes by identifying and treating patients earlier and more effectively. Health Directorate of Istanbul 2022-04-12 /pmc/articles/PMC9039643/ /pubmed/35582508 http://dx.doi.org/10.14744/nci.2022.33349 Text en Copyright © 2022 by Istanbul Provincial Directorate of Health - Available online at www.northclinist.com https://creativecommons.org/licenses/by/3.0/This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
spellingShingle Original Article - Infectious Diseases
Comoglu, Senol
Kant, Aydin
Does the Charlson comorbidity index help predict the risk of death in COVID-19 patients?
title Does the Charlson comorbidity index help predict the risk of death in COVID-19 patients?
title_full Does the Charlson comorbidity index help predict the risk of death in COVID-19 patients?
title_fullStr Does the Charlson comorbidity index help predict the risk of death in COVID-19 patients?
title_full_unstemmed Does the Charlson comorbidity index help predict the risk of death in COVID-19 patients?
title_short Does the Charlson comorbidity index help predict the risk of death in COVID-19 patients?
title_sort does the charlson comorbidity index help predict the risk of death in covid-19 patients?
topic Original Article - Infectious Diseases
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039643/
https://www.ncbi.nlm.nih.gov/pubmed/35582508
http://dx.doi.org/10.14744/nci.2022.33349
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