Using a multiple logistic regression model to predict prognosis of cows with right abomasal displacement or abomasal volvulus

Abstract

Data at admission and at surgery were collected on 458 cows with right abomasal displacement or abomasal volvulus to derive multiple logistic regression models for predicting postsurgical outcome (productive, salvaged or terminal). Three admission variables (heart rate, base excess, and plasma chloride concentration), and five surgical variables (heart rate, base excess, diagnosis, method of decompression used, and appearance of abomasal serosa) were used in the final models. Predicted outcomes using the admission and surgical models were closely related with actual outcomes.