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The Impact of Charlson Comorbidity Index on Mortality From SARS-CoV-2 Virus Infection
Jawad Ahmed1, Camilo Andrés Avendaño Capriles2,3, Natalia M Avendaño Capriles3
1Medicine, Liaquat National Hospital and Medical College, Karachi, PAK.
Insights
The Charlson Comorbidity Index (CCI) effectively predicts mortality in hospitalized COVID-19 patients. A new CoLACD score also shows promise in assessing COVID-19 patient mortality risk.
Area of Science:
- Medical research
- Epidemiology
- Clinical outcomes
Background:
- The Charlson Comorbidity Index (CCI) is a validated tool for assessing mortality risk from comorbid diseases.
- CCI has been utilized as a predictor of long-term survival and prognosis.
Purpose of the Study:
- To determine the impact of the CCI score on mortality in hospitalized COVID-19 patients.
- To evaluate the efficacy of the novel CoLACD score in predicting mortality among these patients.
Main Methods:
- Retrospective cohort study design.
- Data collected from two tertiary hospitals in Karachi between January 15, 2021, and April 30, 2021.
- Inclusion of patients with confirmed COVID-19 infection.
Main Results:
- Key predictors of mortality identified include CCI score, patient age, D-dimer levels, smoking status, and shortness of breath.
- The CoLACD score demonstrated 80.23% sensitivity and 50.23% specificity, with a diagnostic accuracy of 60.45%.
- The positive predictive value (PPV) for the CoLACD score was 83.01%, and the negative predictive value (NPV) was 39.44%.
Conclusions:
- The Charlson Comorbidity Index (CCI) is a valuable tool for predicting mortality in clinical settings for COVID-19 patients.
- The CoLACD score shows potential for mortality prediction in hospitalized COVID-19 cases.
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.
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