Quach Duc Trong, Nguyen Nguyet Thi-My, Vo Uyen Pham-Phuong, Le Ly Thi-Kim, Vo Cong Hong-Minh, Ho Phat Tan, Nguyen Tran Ngoc, Bo Phuong Kim, Nguyen Nam Hoai, Vu Khanh Truong, Van Dang Manh, Dinh Minh Cao, Nguyen Thai Quang, Van Nguyen Xung, Le Suong Thi-Ngoc, Tran Chi Pham
Department of Internal Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, 217 Hong Bang Street, District 5, Ho Chi Minh, Vietnam.
Department of Gastroenterology, Gia-Dinh People's Hospital, Ho Chi Minh, Vietnam.
Dig Dis Sci. 2021 Mar;66(3):823-831. doi: 10.1007/s10620-020-06253-y. Epub 2020 Apr 13.
BACKGROUND/AIMS: The prevalence of acute lower gastrointestinal bleeding (ALGIB) has progressively increased worldwide but there are few studies in Asian populations. This study aimed to develop and validate a scoring system to predict severe ALGIB in Vietnamese.
Risk factors for severe ALGIB were identified by multiple logistic regression analysis using data from a retrospective cohort of 357 patients admitted to a tertiary hospital. These factors were weighted to develop the severe acute lower gastrointestinal bleeding (SALGIB) score to predict severe ALGIB. The performance of SALGIB was validated in a prospective cohort of 324 patients admitted to 6 other hospitals using area under the receiver operating characteristics curve (AUC) analysis.
There were four factors at admission independently associated with severe ALGIB in the derivation cohort: heart rate ≥ 100/min, systolic blood pressure < 100 mmHg, hematocrit < 35%, and platelets ≤ 150 × 10/µL. The SALGIB score determined severe ALGIB with AUC values of 0.91 and 0.86 in the derivation and validation cohorts, respectively. A SALGIB score < 2 associated with low risk of severe ALGIB in both cohorts (3.7% and 1.2%; respectively).
The SALGIB score has good performance in discriminating risk of severe ALGIB in Vietnamese.
背景/目的:急性下消化道出血(ALGIB)在全球的患病率呈逐渐上升趋势,但针对亚洲人群的研究较少。本研究旨在开发并验证一种用于预测越南人严重ALGIB的评分系统。
采用多因素logistic回归分析,利用一家三级医院357例回顾性队列患者的数据,确定严重ALGIB的危险因素。对这些因素进行加权,以建立严重急性下消化道出血(SALGIB)评分系统来预测严重ALGIB。采用受试者工作特征曲线下面积(AUC)分析,在另外6家医院的324例前瞻性队列患者中验证SALGIB的性能。
在推导队列中,有4个入院时的因素与严重ALGIB独立相关:心率≥100次/分钟、收缩压<100 mmHg、血细胞比容<35%和血小板≤150×10⁹/µL。SALGIB评分在推导队列和验证队列中分别以0.91和0.86的AUC值确定严重ALGIB。SALGIB评分<2在两个队列中均与严重ALGIB的低风险相关(分别为3.7%和1.2%)。
SALGIB评分在鉴别越南人严重ALGIB风险方面具有良好性能。