Elixhauser Comorbidity Measure and Charlson Comorbidity Index in Predicting the Death of Spanish Inpatients with Diabetes and Invasive Pneumococcal Disease
Enrique Gea-Izquierdo, Rossana Ruiz-Urbaez, Valentín Hernández-Barrera, Ángel Gil-de-Miguel

TL;DR
This study examines how comorbidity indices predict mortality in Spanish patients with diabetes and invasive pneumococcal disease, finding that the Charlson index performs better than the Elixhauser index.
Contribution
The study compares the Elixhauser and Charlson comorbidity indices in predicting mortality for diabetic patients with IPD in Spain, highlighting the superior predictive power of the Charlson index.
Findings
The Charlson Comorbidity Index (CCI) outperformed the Elixhauser Comorbidity Index (ECI) in predicting in-hospital mortality for diabetic patients with IPD.
Both ECI and CCI scores increased with age and were higher in type 2 diabetes compared to type 1 diabetes.
Mortality risk was significantly associated with comorbidity indices, age, diabetes type, and the presence of IPD or COVID-19.
Abstract
Invasive pneumococcal disease (IPD) is a serious infection caused by the bacterium Streptococcus pneumoniae (pneumococcus) that can produce a wide spectrum of clinical manifestations. The aim of this study was to analyze the comorbidity factors that influenced the mortality in patients with diabetes (D) according to IPD. A retrospective study to analyze patients with D and IPD was carried out. Based on the discharge reports from the Spanish Minimum Basic Data Set (MBDS) from 1997 to 2022, the Elixhauser Comorbidity Index (ECI) and the Charlson Comorbidity Index (CCI) were calculated to predict in-hospital mortality (IHM) in Spain. A total of 12,994,304 patients with D were included, and 84,601 cases of IPD were identified. The average age for men was 70.23 years and for women 73.94 years. In all years, ECI and CCI were larger for type 2 D than for type 1 D, with men having a higher mean…
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Taxonomy
TopicsPneumonia and Respiratory Infections · Chronic Disease Management Strategies · Medical Coding and Health Information
