Association between the Charlson Comorbidity Index and early in-hospital death in elderly cerebral hemorrhage inpatients
10.3760/cma.j.issn.0254-9026.2021.11.003
- VernacularTitle:Charlson共病指数与老年脑出血患者住院早期死亡风险关联分析
- Author:
Yuxiu MA
1
;
Min LIU
;
Yanhua LI
;
Li ZHENG
;
Shanshan WANG
;
Aimin NIU
Author Information
1. 山东第一医科大学附属省立医院公共卫生科，济南 250021
- Keywords:
Charlson comorbidity index;
Cerebral hemorrhage;
Comorbidity
- From:
Chinese Journal of Geriatrics
2021;40(11):1353-1356
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the association between the Charlson Comorbidity Index(CCI)and the risk of early in-hospital death in cerebral hemorrhage inpatients.Methods:Basic personal and medical information about sex, age, surgery, frequency of hospitalization, days of hospitalization, and ICD-10 diagnosis code was collected for intracerebral hemorrhage patients aged 60 or above admitted to a tertiary general hospital from January 1, 2017 to December 31, 2019.The CCI score was calculated based on diagnoses at the time of discharge.Using the CCI score as the dependent variable and in-hospital death as the independent variable, univariate and multiple logistic regression analysis was conducted to examine the association between CCI and in-hospital death.The receiver operator characteristic curve(ROC)was used to assess the value of CCI in predicting death.Results:A total of 504 cerebral hemorrhage inpatients were included in the study, with an average age of 69.48±7.55 years, and 52 died during the period.Univariate Logistic regression showed that, compared with inpatients with CCI=3, the OR values(95% CI)for inpatients with CCI=4 and CCI≥5 were 2.145(1.056-4.355)and 4.769(2.168-10.494), respectively.Multiple Logistic regression showed that, compared with inpatients with CCI=3, the OR(95% CI)for inpatients with CCI≥5 was 4.453(1.474-13.456), The area under the ROC curve was 0.718, with 95% CI at 0.642-0.793( P<0.001). Conclusions:The CCI score was associated with the risk of early in-hospital death in elderly patients with cerebral hemorrhage and can be used to assess and predict the risk of early in-hospital death for these patients.
