title: Clinical factors predisposing to major ulcer bleeding. A logistic regression analysis.
abstract: In a consecutive series of patients with bleeding from peptic ulcer, a logistic regression analysis was used to evaluate clinical factors as predictors of major hemorrhage. A hemodynamic assessment distinguished between self-limiting hemorrhage requiring no treatment (190 patients) and major bleeding necessitating emergency surgery (86 patients). Most data, including patient age and sex, previous bleeding, and pulse rate, blood pressure and hematocrit on admission, were poor predictors of major ulcer bleeding. A few variables--onset of hemorrhage, appearance of hematemesis and site of ulcer--were statistically of predictive importance, but clinically only in combination. When one of the selected predictor variables was present, the risk of major hemorrhage did not statistically exceed the prior probability. When combined in pairs, the probability increased, primarily when duodenal ulcer or red hematemesis was present. When the patients presented with three of the selected predictor variables, the probability of major ulcer hemorrhage was markedly increased. However, only 8% of the patients presented with three of the selected variables. Clinical factors, therefore, contribute in general little in prediction of major hemorrhage form peptic ulcer.
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001803:Blood Transfusion; D002648:Child; D002675:Child, Preschool; D004630:Emergencies; D005260:Female; D006471:Gastrointestinal Hemorrhage / Q000150:complications / Q000209:etiology* / Q000628:therapy; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008875:Middle Aged; D010437:Peptic Ulcer / Q000150:complications / Q000209:etiology* / Q000628:therapy; D011446:Prospective Studies; D012044:Regression Analysis; D012306:Risk