Gu Lei, Xu Fei, Yuan Jie
Department of Gastroenterology, Nanjing First Hospital, Nanjing Medical University, 68, Changle Road, Nanjing, 210006, China.
Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
BMC Gastroenterol. 2018 Jun 28;18(1):98. doi: 10.1186/s12876-018-0828-5.
This study aims to compare the performance of AIMS65, Glasgow-Blatchford (GBS) and Rockall scores (RS) in predicting the death risk among emergency-hospitalized patients with upper gastrointestinal bleeding (UGIB) in regional China.
A retrospective study was implemented between January 2014 and December 2015. Eligible participants were those who were hospitalized with UGIB. The outcome variable was in-hospital death, while explanatory variables were AIMS65, GBS and RS scores. Odds ratios (OR) and 95% confidence interval (CI) were estimated to assess the association of AIMS65, GBS and RS with death risk using multivariate logistic regression models. The areas under the receiver operating characteristics curve (AUC) of three scoring systems were computed to compare their predictive power.
Among 799 UGIB participants, 674 were non-variceal bleeding (NVUGIB) and 125 variceal bleeding (VUGIB) patients. AIMS65 (OR = 14.72, 95% CI = 6.48, 33.43) and RS (OR = 1.60, 95% CI = 1.20, 2.13) were positively associated with the risk of in-hospital death. Moreover, AIMS65 (AUC = 0.91, 95% CI = 0.84, 0.98) performed the best in predicting in-hospital death, followed by RS (AUC = 0.79, 95% CI = 0.72, 0.86) and GBS (AUC = 0.71, 95% CI = 0.59, 0.83) among overall UGIB participants. AIMS65 was also the best indicator to predict in-hospital death among either NVUGIB participants (AUC = 0.89, 95% CI = 0.80, 0.98) or VUGIB participants (AUC = 0.94, 95% CI = 0.89, 1.00).
AIMS65, GBS and RS scoring approaches were all acceptable for predicting in-hospital death among UGIB patients irrespective of the subtype of UGIB in China. The AIMS65 might be the most powerful predictor.
本研究旨在比较AIMS65、格拉斯哥-布拉奇福德(GBS)评分和罗卡尔评分(RS)在中国某地区急诊住院的上消化道出血(UGIB)患者中预测死亡风险的性能。
于2014年1月至2015年12月进行一项回顾性研究。符合条件的参与者为因UGIB住院的患者。结局变量为院内死亡,解释变量为AIMS65、GBS和RS评分。使用多变量逻辑回归模型估计比值比(OR)和95%置信区间(CI),以评估AIMS65、GBS和RS与死亡风险的关联。计算三种评分系统的受试者工作特征曲线下面积(AUC),以比较它们的预测能力。
在799例UGIB参与者中,674例为非静脉曲张出血(NVUGIB)患者,125例为静脉曲张出血(VUGIB)患者。AIMS65(OR = 14.72,95%CI = 6.48,33.43)和RS(OR = 1.60,95%CI = 1.20,2.13)与院内死亡风险呈正相关。此外,在总体UGIB参与者中,AIMS65(AUC = 0.91,95%CI = 0.84,0.98)在预测院内死亡方面表现最佳,其次是RS(AUC = 0.79,95%CI = 0.72,0.86)和GBS(AUC = 0.71,95%CI = 0.59,0.83)。AIMS65也是NVUGIB参与者(AUC = 0.89,95%CI = 0.80,0.98)或VUGIB参与者(AUC = 0.94,95%CI = 0.89,1.00)中预测院内死亡的最佳指标。
在中国,无论UGIB的亚型如何,AIMS65、GBS和RS评分方法在预测UGIB患者院内死亡方面都是可接受的。AIMS65可能是最有力的预测指标。