Prognostic value of Charlson Comorbidity Index for acute coronary syndrome
- VernacularTitle:查尔森合并症指数对急性冠状动脉综合征患者预后的临床评价
- Author:
Min XU
;
Baodi SUN
;
Zhaorui SUN
;
Hongmei LIU
;
Danbing SHAO
;
Wei ZHANG
;
Jinfeng LIN
;
Yi REN
;
Wenjie TANG
;
Shinan NIE
- Publication Type:Journal Article
- Keywords:
Charlson Comorbidity Index;
Acute coronary syndrome;
Prognosis;
Predictive value
- From:
Journal of Medical Postgraduates
2015;(2):161-165
- CountryChina
- Language:Chinese
-
Abstract:
Objective Acute coronary syndrome ( ACS) is frequently accompanied by chronic comorbidities , which may se-riously affect its prognosis .This study aims to investigate the value of the Charlson Comorbidity Index ( CCI) in predicting the outcome of ACS by assessing the impact of individual and post-weighted-assignment comorbid conditions of the disease . Methods We retro-spectively analyzed the clinical data on 1 096 cases of ACS treated in Jinling Hospital from January 2010 to March 2014 .We reviewed their general information , clinical presentations , complications , and previous treatments , calculated CCI , and used in-hospital mortali-ty as the index for judging the prognosis . Results Of the 1 096 patients, 73%were males (aged 64.2 ±12.9 years), 27% were females (aged 72.1 ±12.6 years), and 46.8% had comorbidities. Of the diseases included in the CCI system , previous myocardial infarction was the most frequent comorbidity (18.0%), followed by diabetes mellitus ( 14.7%), moderately to severe renal disease (7.1%), cerebrovascular disease (6.0%), and chronic lung dis-ease (6.0%).Single factor analysis revealed statistically significant differences between different CCI groups in such clinical indicators as history of coronary artery disease , history of hypertension , time between symptom onset and admission , hemodynamics , drugs adminis-tered (aspirin, P2Y12 blockers, ACEI/ARB or statins), and reperfusion therapy (P<0.05).Logistic regression analysis showed the strongest predictors of in-hospital mortality were heart failure (OR 1.88, 95%CI:1.57-2.25), metastatic tumor (OR 2.25, 95%CI:1.60-3.19), renal disease (OR 1.84, 95% CI:1.60-2.11), and diabetes mellitus (OR 1.35, 95% CI:1.19-1.19). Receiver operating characteristic curve analysis manifested that either CCI with age or CCI with age and gender was superior to CCI a -lone in predicting in-hospital mortality of ACS patients (AUC 0.761 [95%CI 0.748-0.773] and 0.756 [95%CI:0.743-0.768] vs 0.670 [95%CI:0.656-0.685]). Conclusion Heart failure, diabetes mellitus, renal disease, and metastatic tumors contrib-ute to the in-hospital mortality of ACS patients .CCI together with age and gender may help to assess the prognosis of the disease .
