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Pre-endoscopic prognostic factors in non-varicose upper gastrointestinal bleeding. Development of a predictive
A Zaragoza Marcet1, J M Tenías Burillo, M J Llorente Melero
1Gastroenterology Unit, Lluís Alcanyís Hospital, Xátiva, Spain.
Objective:
Upper gastrointestinal or digestive bleeding (UDB) is a common problem requiring hospitalization and implying important morbidity-mortality. The aim of the present study is to identify clinical and laboratory factors predictive of a serious course of non-varicose UDB, based on the development of a simple algorithm for application in the clinical setting.
Methods:
A longitudinal study was made of 803 hospitalized patients with non-varicose UDB. Clinical and laboratory parameters were recorded in the Emergency Service before endoscopy. A first non-conditional logistic regression model was developed, including those variables exhibiting a greater capacity for predicting a serious outcome. This model was posteriorly simplified to facilitate clinical application. The prognostic performance was estimated by calculating the area under the ROC curve.
Results:
The initial predictive model included 11 variables, with an area under the ROC curve of 0.74 (95%CI: 0.71-0.77), while in the second model these same variables were dichotomized, exhibiting an area under the ROC curve of 0.74 (95%CI: 0.70-0.77). Based on the corresponding regression coefficients, the prognostic variables were classified as either major (shock, liver disease, anticoagulant therapy, urea/creatinine ratio > 62) or minor (hematocrit < 33%, renal failure, presentation as hematemesis and melenas, systolic arterial pressure < 110 mmHg, regular alcohol consumption, a history of UDB, and a patient age of > 75 years). UDB was predicted to take an unfavorable course in the presence of one major factor or two minor factors.
Conclusions:
The proposed algorithm includes pre-endoscopy clinical and laboratory variables, and allows early classification of patients with non-varicose UDB in terms of their possible clinical course.