Validation of Glasgow-Blatchford score, Pre-Rockall score, and AIMS65 score to predict active bleeding in patients with upper gastrointestinal bleeding in normotensive patients and suggestion for developing new predictors
- Author:
Donghoon KIM
1
;
Young Rock HA
;
Jung Hwan AHN
;
Young Sik KIM
;
Tae Yong SHIN
;
Ru Bi JUNG
;
Kyu Hyun LEE
;
Woosung YU
;
Young Tak YOON
Author Information
1. Department of Emergency Medicine, Daejin Medical Center, Bundang Jesaeng General Hostpital, Seongnam, Korea. youngrock.ha@gmail.com
- Publication Type:Original Article
- Keywords:
Gastrointestinal hemorrhage;
Emergency medicine;
Predictive value;
Lactic acid
- MeSH:
Area Under Curve;
Blood Pressure;
Emergency Medicine;
Endoscopy, Digestive System;
Gastrointestinal Hemorrhage;
Hemorrhage;
Humans;
Lactic Acid;
Logistic Models;
Prognosis;
Retrospective Studies;
ROC Curve;
Shock
- From:Journal of the Korean Society of Emergency Medicine
2019;30(5):401-410
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVE: The aim of this study was to validate the Glasgow-Blatchford score (GBS), Pre-Rockall score (PRS), and AIMS65 score to predict active bleeding in patients with normotension and upper gastrointestinal bleeding (UGIB), and analyze the variables that can predict active bleeding to help develop new predictive factors. METHODS: Data were collected retrospectively from January 2015 to December 2017. A systolic blood pressure ≥90 mmHg were defined as normotension, and the patients were divided into active bleeding and not-active bleeding groups based on an esophagogastroduodenoscopy and levin-tube irrigation. The GBS, PRS, and AIMS65 of each group were calculated. The receiver operator characteristic (ROC) curve and area under the curve (AUC) were also calculated to obtain the predictive power for active bleeding. Furthermore, the factors that can predict active bleeding were analyzed by multivariate logistic regression. The ROC curve and AUC were calculated using the variables that were adopted as useful factors. RESULTS: Of the 250 patients included, 85 were active bleeding and 165 were not-active bleeding. The ROC curve showed GBS (AUC, 0.54; 95% confidence interval [CI], 0.47–0.61), PRS (AUC, 0.58; 95% CI, 0.50–0.65), and AIMS65 (AUC, 0.51; 95% CI, 0.43–0.59) to have low predictive power for active bleeding. Multivariate logistic regression revealed the lactate (odds ratio [OR], 1.10; 95% CI, 1.01–1.20) and shock indices (OR, 4.15; 95% CI, 1.12–15.40) to be significant predictors of active bleeding. When calculating the probability of predicting active bleeding through these variables, AUC 0.64 (95% CI, 0.57–0.71) showed higher prediction power than the previous scores. CONCLUSION: The conventional scoring systems that predict the prognosis of UGIB showed low predictability in predicting active bleeding in UGIB patients with a systolic blood pressure ≥90 mmHg. Further study suggests the development of new score using factors, such as the lactate and shock indices.
