» Articles » PMID: 34976530

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

Overview
Journal Cureus
Date 2022 Jan 3
PMID 34976530
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

Investigating the role of obstructive pulmonary diseases and eosinophil count at admission on all-cause mortality in SARS-CoV-2 patients : A single center registry-based retrospective cohort study.

Salai G, Vrazic H, Kovacevic I, Malnar Janes L, Marasovic I, Ranilovic D Wien Klin Wochenschr. 2023; 135(9-10):235-243.

PMID: 37093279 PMC: 10124688. DOI: 10.1007/s00508-023-02180-w.


Care Needs of Highly Complex Chronic Patients in the Canary Islands: An Observational Study.

Rodriguez-Alvaro M, Fernandez-Gutierrez D, Cabeza-Mora A, Barrios-Torres R, Nursing Methodology Group General Directorate Of Health Care Programs Of The Canary Islands Health Service Primary Care , Brito-Brito P Nurs Rep. 2023; 13(1):1-16.

PMID: 36648975 PMC: 9844377. DOI: 10.3390/nursrep13010001.


Charlson comorbidity index, neutrophil-to-lymphocyte ratio and undertreatment with renin-angiotensin-aldosterone system inhibitors predict in-hospital mortality of hospitalized COVID-19 patients during the omicron dominant period.

Sonaglioni A, Lombardo M, Albini A, Noonan D, Re M, Cassandro R Front Immunol. 2022; 13:958418.

PMID: 36090992 PMC: 9453812. DOI: 10.3389/fimmu.2022.958418.


Ability of IMPROVE and IMPROVE-DD scores to predict outcomes in patients with severe COVID-19: a prospective observational study.

Adolf Helmy M, Magdy Milad L, Hasanin A, Elbasha Y, ElSabbagh H, Elmarzouky M Sci Rep. 2022; 12(1):13323.

PMID: 35922436 PMC: 9349222. DOI: 10.1038/s41598-022-17466-8.

References
1.
Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J . Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. JAMA. 2020; 323(11):1061-1069. PMC: 7042881. DOI: 10.1001/jama.2020.1585. View

2.
Li X, Xu S, Yu M, Wang K, Tao Y, Zhou Y . Risk factors for severity and mortality in adult COVID-19 inpatients in Wuhan. J Allergy Clin Immunol. 2020; 146(1):110-118. PMC: 7152876. DOI: 10.1016/j.jaci.2020.04.006. View

3.
Charlson M, Pompei P, Ales K, MacKenzie C . A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987; 40(5):373-83. DOI: 10.1016/0021-9681(87)90171-8. View

4.
Gong J, Ou J, Qiu X, Jie Y, Chen Y, Yuan L . A Tool for Early Prediction of Severe Coronavirus Disease 2019 (COVID-19): A Multicenter Study Using the Risk Nomogram in Wuhan and Guangdong, China. Clin Infect Dis. 2020; 71(15):833-840. PMC: 7184338. DOI: 10.1093/cid/ciaa443. View

5.
Marroquin B, Vine V, Morgan R . Mental health during the COVID-19 pandemic: Effects of stay-at-home policies, social distancing behavior, and social resources. Psychiatry Res. 2020; 293:113419. PMC: 7439968. DOI: 10.1016/j.psychres.2020.113419. View