A computer-derived protocol using recursive partitioning to aid in estimating prognosis of horses with abdominal pain in referral hospitals.
In order to determine which variables are useful and accurate in estimating prognosis in horses with abdominal pain, data were analyzed from 231 horses presented at a veterinary teaching hospital. Using multiple stepwise discriminant analysis in a recursive partition model, we obtained a decision protocol that identified survivors and nonsurvivors. The prevalence of survivors was 61% in this population. The sensitivity, specificity, and positive and negative predictive values of this model were 71, 83, 87 and 65%, respectively. This decision protocol was validated by Jackknife classification and also by evaluation with a referral population of 100 horses in which the prevalence of survivors was 83%. This led to sensitivity, specificity, and positive and negative predictive values of 83, 78, 94 and 50%, respectively.
Department of Clinical Studies, Ontario Veterinary College, University of Guelph.
P J
PJ
Pascoe
N G
NG
Ducharme
G R
GR
Ducharme
J H
JH
Lumsden
D015746:Abdominal Pain / Q000175:diagnosis / Q000401:mortality / Q000662:veterinary*; D000465:Algorithms; D000818:Animals; D003936:Diagnosis, Computer-Assisted / Q000662:veterinary*; D016002:Discriminant Analysis; D006400:Hematocrit / Q000662:veterinary; D006734:Horse Diseases / Q000175:diagnosis* / Q000401:mortality; D006736:Horses; D011237:Predictive Value of Tests; D011379:Prognosis