Predictive value of BAT score in the prognosis of patients with spontaneous intracerebral hemorrhage
10.3760/cma.j.issn.1671-0282.2022.02.019
- VernacularTitle:BAT评分对自发性脑出血患者预后的预测价值研究
- Author:
Jingjing XING
1
;
Zhong YU
;
Chengyu WANG
;
Ling LIU
;
Zongying HE
;
Huiqing PAN
;
Sheng YE
Author Information
1. 皖南医学院第二附属医院急诊医学科，芜湖 241000
- Keywords:
Spontaneous intracerebral hemorrhage;
Emergency;
BAT score;
Systolic blood pressure;
ROC curve;
Prognostic
- From:
Chinese Journal of Emergency Medicine
2022;31(2):241-246
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To study the predictive value of BAT score for the prognosis of patients with spontaneous intracerebral hemorrhage (sICH).Methods:A retrospective analysis of 93 sICH patients in the Emergency Department of the Second Affiliated Hospital of Wannan Medical College from January 2018 to December 2020 was conducted, and the patients were classified into the good prognosis group ( n=34) and the poor prognosis group ( n=59) according to the Glasgow Outcome Score (GOS) 3 months after the discharge. Clinical data such as basic data of patients, admission vital signs, laboratory indicators, National Institute of Health stroke scale (NIHSS) score and BAT score and other clinical data of the two groups were compared. Multivariate logistic regression was used to analyze the risk factors affecting poor prognosis of sICH patients. The receiver operating characteristic (ROC) curve was drawn to analyze predictive value of BAT score for poor prognosis of sICH patients. Results:The admission systolic blood pressure, white blood cell count, hypertension complications, emergency BAT score and NIHSS score of patients in the poor prognosis group were significantly higher than those in the good prognosis group ( P<0.05). Multivariate logistic regression analysis indicated that the admission systolic blood pressure ( OR=1.024, 95% CI: 1.002~1.046, P=0.035) and emergency BAT score ( OR=2.640, 95% CI: 1.445-4.825, P=0.002) could accurately predict the poor prognosis of sICH patients. ROC curve analysis showed that the area under ROC curve (AUC) of BAT score was 0.792, the sensitivity was 79.3%, and the specificity was 76.5%. The AUC of systolic blood pressure for predicting poor prognosis of sICH patients was 0.701, and the sensitivity was 55.2%, and the specificity was 88.2%. The AUC of BAT score combined with systolic blood pressure for predicting poor prognosis of sICH patients was 0.835. Conclusions:BAT score and admission systolic blood pressure could more accurately predict poor prognosis of sICH patients. The combination of them had a higher efficacy in predicting poor prognosis of sICH patients after 3 months.
