Cargando…

The Impact of Charlson Comorbidity Index on Mortality From SARS-CoV-2 Virus Infection

Introduction: Charlson Comorbidity Index (CCI) is a simple, validated, and readily acceptable method of determining the risk of mortality from comorbid disease. It has been used as a predictor of long-term survival and prognosis. The aim of this study is to determine the impact of CCI score on morta...

Descripción completa

Detalles Bibliográficos
Autores principales: Ahmed, Jawad, Avendaño Capriles, Camilo Andrés, Avendaño Capriles, Natalia M, Mehta, Shivani M, Khan, Nattaliea, Tariq, Sheharyar, Abbas, Ramsha, Tousif, Sohaib, Shamim, Khizer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8711750/
https://www.ncbi.nlm.nih.gov/pubmed/34976530
http://dx.doi.org/10.7759/cureus.19937
_version_ 1784623422140055552
author Ahmed, Jawad
Avendaño Capriles, Camilo Andrés
Avendaño Capriles, Natalia M
Mehta, Shivani M
Khan, Nattaliea
Tariq, Sheharyar
Abbas, Ramsha
Tousif, Sohaib
Shamim, Khizer
author_facet Ahmed, Jawad
Avendaño Capriles, Camilo Andrés
Avendaño Capriles, Natalia M
Mehta, Shivani M
Khan, Nattaliea
Tariq, Sheharyar
Abbas, Ramsha
Tousif, Sohaib
Shamim, Khizer
author_sort Ahmed, Jawad
collection PubMed
description Introduction: Charlson Comorbidity Index (CCI) is a simple, validated, and readily acceptable method of determining the risk of mortality from comorbid disease. It has been used as a predictor of long-term survival and prognosis. The aim of this study is to determine the impact of CCI score on mortality in COVID-19 hospitalized patients and test the efficacy of the CoLACD score (COVID-19 lymphocyte ratio, age, CCI score, dyspnoea) in predicting mortality among hospitalized COVID-19 patients. Methodology: It was a retrospective cohort, and the data of this study were gathered from two tertiary hospitals of Karachi, including Liaquat National Hospital and Ziauddin Hospital. Data of patients hospitalized in any of these tertiary care hospitals and diagnosed with confirmed COVID-19 infection were used in the study from January 15, 2021, to April 30, 2021. Results: The mean age of participants was 53.22 (±14.21) years. The majority of participants were males (74.91%). Predictors of mortality include CCI score, age of participants, D-dimer, smoking status, and shortness of breath. The sensitivity of this CoLACD score was 80.23%, and specificity was 50.23% (diagnostic accuracy is 60.45%). The negative predictive value (NPV) of this test was 39.44%, and the positive predictive value (PPV) was 83.01%. Conclusion: Our study showed that CCI can be used in a clinical setting to achieve a prediction of mortality in COVID-19 patients.
format Online
Article
Text
id pubmed-8711750
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Cureus
record_format MEDLINE/PubMed
spelling pubmed-87117502021-12-30 The Impact of Charlson Comorbidity Index on Mortality From SARS-CoV-2 Virus Infection Ahmed, Jawad Avendaño Capriles, Camilo Andrés Avendaño Capriles, Natalia M Mehta, Shivani M Khan, Nattaliea Tariq, Sheharyar Abbas, Ramsha Tousif, Sohaib Shamim, Khizer Cureus Infectious Disease Introduction: Charlson Comorbidity Index (CCI) is a simple, validated, and readily acceptable method of determining the risk of mortality from comorbid disease. It has been used as a predictor of long-term survival and prognosis. The aim of this study is to determine the impact of CCI score on mortality in COVID-19 hospitalized patients and test the efficacy of the CoLACD score (COVID-19 lymphocyte ratio, age, CCI score, dyspnoea) in predicting mortality among hospitalized COVID-19 patients. Methodology: It was a retrospective cohort, and the data of this study were gathered from two tertiary hospitals of Karachi, including Liaquat National Hospital and Ziauddin Hospital. Data of patients hospitalized in any of these tertiary care hospitals and diagnosed with confirmed COVID-19 infection were used in the study from January 15, 2021, to April 30, 2021. Results: The mean age of participants was 53.22 (±14.21) years. The majority of participants were males (74.91%). Predictors of mortality include CCI score, age of participants, D-dimer, smoking status, and shortness of breath. The sensitivity of this CoLACD score was 80.23%, and specificity was 50.23% (diagnostic accuracy is 60.45%). The negative predictive value (NPV) of this test was 39.44%, and the positive predictive value (PPV) was 83.01%. Conclusion: Our study showed that CCI can be used in a clinical setting to achieve a prediction of mortality in COVID-19 patients. Cureus 2021-11-27 /pmc/articles/PMC8711750/ /pubmed/34976530 http://dx.doi.org/10.7759/cureus.19937 Text en Copyright © 2021, Ahmed et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Infectious Disease
Ahmed, Jawad
Avendaño Capriles, Camilo Andrés
Avendaño Capriles, Natalia M
Mehta, Shivani M
Khan, Nattaliea
Tariq, Sheharyar
Abbas, Ramsha
Tousif, Sohaib
Shamim, Khizer
The Impact of Charlson Comorbidity Index on Mortality From SARS-CoV-2 Virus Infection
title The Impact of Charlson Comorbidity Index on Mortality From SARS-CoV-2 Virus Infection
title_full The Impact of Charlson Comorbidity Index on Mortality From SARS-CoV-2 Virus Infection
title_fullStr The Impact of Charlson Comorbidity Index on Mortality From SARS-CoV-2 Virus Infection
title_full_unstemmed The Impact of Charlson Comorbidity Index on Mortality From SARS-CoV-2 Virus Infection
title_short The Impact of Charlson Comorbidity Index on Mortality From SARS-CoV-2 Virus Infection
title_sort impact of charlson comorbidity index on mortality from sars-cov-2 virus infection
topic Infectious Disease
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8711750/
https://www.ncbi.nlm.nih.gov/pubmed/34976530
http://dx.doi.org/10.7759/cureus.19937
work_keys_str_mv AT ahmedjawad theimpactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT avendanocaprilescamiloandres theimpactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT avendanocaprilesnataliam theimpactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT mehtashivanim theimpactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT khannattaliea theimpactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT tariqsheharyar theimpactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT abbasramsha theimpactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT tousifsohaib theimpactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT shamimkhizer theimpactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT ahmedjawad impactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT avendanocaprilescamiloandres impactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT avendanocaprilesnataliam impactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT mehtashivanim impactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT khannattaliea impactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT tariqsheharyar impactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT abbasramsha impactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT tousifsohaib impactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection
AT shamimkhizer impactofcharlsoncomorbidityindexonmortalityfromsarscov2virusinfection