Risk Factor Analysis And Method Development For Predicting The Recurrence Of Gastroduodenal Ulcer Bleeding

Abstract

Objective — To clarify clinical, laboratory and endoscopic signs of a high recurrence risk of gastroduodenal ulcer bleeding (GDUB) and to develop a multifactorial method for its prediction. Material and Methods — The research was completed over 2019-2020. The study took place in two stages. At the first stage, 409 patients with GDUB, who were treated at the emergency surgical department of Saratov City Clinical Hospital No. 6 from 1991 to 2000, were included in the study. During that time, endoscopic hemostasis therapy was used in a few cases, while modern antisecretory therapy has not yet been developed and carried out. Two groups of patients were compared: with recurrent bleeding (104 patients) and without recurrent bleeding (305 patients). At the second stage, a retrospective analysis of the outcomes of treating 126 patients with GDUB, cared for at the clinic from 2001 to 2009, was carried out. During this period of time, assistance for this pathology was the most complete and matched all current standards. The analysis included 63 patients with recurrent bleeding and 63 patients without recurrent bleeding. We conducted a comparative analysis of the developed method for predicting bleeding recurrence versus the classifications by J.A. Forrest (1974) and G.P. Giderim (1992) in our original modification. Results — At the first stage of the study, the most significant signs for predicting recurrent bleeding were identified as unstable hemodynamics, severity of blood loss, nature of vomiting, presence of concomitant pathology, state of the ulcer surface sensu J.A. Forrest; and localization, size and depth of the ulcer. We determined their informative value in assessing the risk of recurrent bleeding and developed a novel method of its prediction. Taken alone, each of nine predictive signs has a correlation, comparable in the magnitude with patient allocation into each group (based on the absolute value of gamma, ranging 0.49–0.66); the prediction accuracy is 60–74%, with a positive predictive value of 35-49%. The measure of the gamma relationship for splitting patients among groups by the original method based on nine features in conjunction with each other was -0.79 (p<0.001). Conclusion — Prediction of recurrent bleeding by one or two signs is inferior in informational content (although insignificantly) to the multifactorial method. The developed method for predicting the recurrence of ulcer bleeding from nine signs has an optimal ratio of sensitivity and specificity, which ensures a prediction accuracy of over 70% and a positive predictive value of 68.9%.