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A unified prognostic tool for predicting critical outcomes in gastrointestinal bleeding
Seyyed Mahdi Zia Ziabari1, Nazanin Noori Roodsari2, Afshin Shafaghi3
1Department of Emergency Medicine, School of Medicine, Road Trauma Research Center, Trauma Institute, Poursina Hospital, Guilan University of Medical Sciences, Rasht, Iran.
Insights
A new scoring system accurately predicts critical deterioration in patients with gastrointestinal bleeding (GIB) before endoscopy. This tool aids emergency departments in early triage and resource allocation for better patient outcomes.
Area of Science:
- Emergency Medicine
- Gastroenterology
- Clinical Prediction Models
Background:
- Gastrointestinal bleeding (GIB) is a frequent cause of emergency admission, presenting challenges in early risk stratification before endoscopic evaluation.
- Existing methods struggle to predict critical deterioration promptly in patients with both upper and lower GIB.
Purpose of the Study:
- To develop and validate a novel, unified pre-endoscopic scoring system for predicting early clinical deterioration in patients with GIB.
- To identify key clinical, laboratory, and hemodynamic predictors of critical events within 48 hours of admission.
Main Methods:
- Retrospective analysis of 390 patients with GIB admitted between 2018-2020.
- Multivariable logistic regression identified independent predictors for critical deterioration.
- A weighted scoring system was derived and its predictive performance assessed using the area under the receiver operating characteristic curve (AUC).
Main Results:
- The developed scoring system incorporated age, sex, comorbidity score, systolic blood pressure, hemoglobin level, and loss of consciousness.
- The scoring system demonstrated excellent predictive performance with an AUC of 0.939.
- The system showed high sensitivity and specificity for predicting critical deterioration, defined by mortality, ICU admission, massive transfusion, or surgery.
Conclusions:
- The novel pre-endoscopic scoring system is simple, rapid, and accurate for predicting early critical deterioration in GIB patients.
- This tool can significantly aid emergency department triage, clinical decision-making, and resource allocation.
- Further prospective multicenter validation is recommended to confirm its clinical utility.
Abstract:
Gastrointestinal bleeding (GIB) is a common cause of emergency department admission and is associated with substantial morbidity and mortality. Early risk stratification remains challenging, particularly before endoscopic evaluation. This study aims to develop a novel, unified pre-endoscopic scoring system to predict early clinical deterioration in both upper and lower GIB. In this retrospective study, 403 patients with GIB admitted between 2018 and 2020 were screened, of whom 390 had complete data and were included. Clinical, laboratory, and hemodynamic parameters were extracted to derive a prognostic score predicting critical deterioration within 48 hours of admission. The primary outcome included mortality within 48 hours, intensive care unit admission, transfusion of >4 units of packed red blood cells, or need for surgery. Independent predictors identified by multivariable logistic regression were incorporated into a weighted scoring system. Discriminatory performance was assessed using the area under the receiver operating characteristic curve. Of 390 patients, 79 (20.3%) met criteria for critical deterioration. Independent predictors included age >70 years, male sex, a study-defined weighted comorbidity score ≥2, systolic blood pressure <90 mm Hg, hemoglobin < 7 g/dL, and loss of consciousness. Corresponding weighted points ranged from 2 to 4 per factor, yielding a total possible score of 0 to 17. The scoring system demonstrated excellent predictive performance (area under the receiver operating characteristic curve: 0.939), with high sensitivity and specificity across multiple cutoff points. The proposed scoring system is simple, rapid, and highly accurate for predicting early deterioration in GIB. It may serve as a practical tool for emergency department triage, early decision-making, and resource allocation. Prospective multicenter studies are warranted to validate its clinical utility.