The Charlson Comorbidity Index as a Predictor of mortality in hospitalized Covid-19 patients during the pandemic

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Taheri Soodejani Moslem; Kazemi Maryam; Tabatabaei Seyyed Mohammad; Lotfi Mohammad Hassan

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Journal Paper

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Journal: Journal of Basic Research in Medical Sciences Year:2023 | Volume:10 | Issue:3 Page(s): 72-77

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Title

The Charlson Comorbidity Index as a Predictor of mortality in hospitalized Covid-19 patients during the pandemic

Author(s)

Taheri Soodejani Moslem | Kazemi Maryam | Tabatabaei Seyyed Mohammad | Lotfi Mohammad Hassan | Issue Writer Certificate

Keywords

MortalityQ4

PredictionQ4

InfectionQ4

Charlson Comorbidity IndexQ4

Abstract

Introduction: This study aimed to predict the risk of Mortality among COVID-19 patients in the central region of Iran by employing the Charlson Comorbidity Index (CCI), with adjustments made for age in the predictive model. Materials & Methods: In this cross-sectional study, encompassing all probable, suspicious, and confirmed COVID-19 cases from the onset of the pandemic (55307 individuals), 3415 cases resulting in death were designated as the study group, while the survivors constituted the control group. Results: The Charlson Comorbidity Index revealed that over 11 percent of all patients had at least one underlying medical condition. Logistic regression analysis indicated a significantly elevated likelihood of Mortality among patients with comorbidities. Specifically, individuals with a CCI score of 6 or higher were more than twice as likely to succumb to the virus compared to those without underlying diseases. Those with a score of 6 or more exhibited the highest odds ratio (OR 2.4; 95% CI 1.3-4.5). Conclusion: The study findings underscore the heightened vulnerability of individuals to COVID-19 Mortality, particularly among the elderly with pre-existing health conditions. The coexistence of age and comorbidities substantially increased the risk of death due to COVID-19 in this population. Consequently, targeted interventions and focused care strategies may be crucial for this high-risk demographic in pandemic management efforts.

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