Objective: To analyze the predictive value of Gensini score combined with CHADS2 score for acute coronary syndrome (ACS) in patients with acute ischemic stroke (AIS). Methods: The general data and clinical data of 185 AIS patients who were treated in our hospital from January 2019 to January 2022 were retrospectively analyzed. According to the occurrence of ACS, the patients were divided into ACS group (n=39) and control group (n=146). The general data and clinical data of the two groups were compared. Logistic multifactor analysis was further performed for the factors with statistically significant differences to identify the risk factors for ACS in AIS patients, and Pearson correlation analysis was performed for the relationship between Gensini score, CHADS2 score and each risk factor. ROC curve was used to analyze the predictive value of Gensini score combined with CHADS2 score for ACS in AIS patients. Results: Logistic multivariate analysis showed that age ≥65 years, diabetes mellitus, left ventricular ejection fraction < 50 %, Gensini score ≥47, CHADS2 score ≥2 were divided into risk factors for ACS in AIS patients (P＜0.05). Gensini score was positively correlated with age, diabetes mellitus and CHADS2 score (P＜0.05), but negatively correlated with left ventricular ejection fraction (P＜0.05). CHADS2 score was positively correlated with age, diabetes mellitus and Gensini score (P＜0.05), but negatively correlated with left ventricular ejection fraction (P＜0.05). ROC curve analysis showed that Gensini score predicted the sensitivity and specificity of ACS in AIS patients were 65.38 % and 71.19 %, respectively. The optimal cut-off value was 50 points, area under curve (AUC) =0.766, 95 %CI = 0.694-0.838. The sensitivity and specificity of CHADS2 score for predicting ACS in AIS patients were 77.56 % and 75.42 %, respectively. The optimal cut-off value was 2 points, AUC=0.864, 95 %CI = 0.742-0.897. The sensitivity and specificity of Gensini score combined with CHADS2 score in predicting ACS in AIS patients were 87.65 % and 84.57 %, respectively, with AUC=0.924 and 95 %CI = 0.812-0.934. Conclusion: Both Gensini score and CHADS2 score are risk factors for ACS in AIS patients, and their combined application has better predictive value for ACS in AIS patients.
LIU Yinfang
,
DING Yongli
,
LIANG Yazhou
,
XU Xiaoyu
,
ZHANG Xiaoman
,
LIU Xinsheng
. Predictive value of Gensini score combined with CHADS2 score for acute coronary syndrome in patients with acute ischemic stroke[J]. Journal of Baotou Medical College, 2023
, 39(4)
: 18
-23
.
DOI: 10.16833/j.cnki.jbmc.2023.04.004
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