Factors associated with survival in septicemic foals: 65 cases (1988-1995).
In order to identify variables obtained at admission that could be used to predict survival in septicemic foals, medical records of 65 foals diagnosed with septicemia were reviewed. Initially, variables were analyzed independently (univariate analysis) for association with survival. Of the physical examination and historical data examined using univariate analysis, the ability to stand at admission, respiratory rate > or = 60 breaths per minute (bpm), and normal-appearing mucous membranes were significantly associated with survival. Foals with history of induced parturition were significantly less likely to survive. The following hematologic and serum biochemical variables determined at admission were significantly associated with survival: white blood cell count > or = 6,000 cells/microL, neutrophil count > 4,000 cells/microL, serum albumin concentration > 2.2 g/dL, serum glucose concentration > 120 mg/dL, blood pH > or = 7.35, and positive base excess. The administration of plasma at admission was significantly associated with survival. Stepwise multiple logistic regression analysis was performed to evaluate the association between survival and variables identified as significantly associated with survival in bivariate analysis. The final multivariate model selected included the variables standing, duration of clinical signs (24-hour intervals) prior to admission, respiratory rate > or = 60 bpm, neutropenia (< or = 4,000 cells/ microL), and neonatal age category. The probability of survival was significantly increased for foals that were standing, had a respiratory rate > or = 60 bpm, and that had a neutrophil count > 4,000 cells/microL at admission. Probability of survival was significantly decreased for foals that had a longer duration of clinical signs prior to admission. For each 24 hours of duration, the estimated risk of death was increased by 5.8-fold.
Gayle
J M
JM
Department of Large Animal Medicine and Surgery, College of Veterinary Medicine, Texas A&M University, College Station, USA. jmai_gayle@unity.ncsu.edu
Cohen
N D
ND
Chaffin
M K
MK
D000367:Age Factors; D000704:Analysis of Variance; D000818:Animals; D000831:Animals, Newborn; D001831:Body Temperature; D016001:Confidence Intervals; D006339:Heart Rate; D006734:Horse Diseases; D006736:Horses; D007958:Leukocyte Count; D012119:Respiration; D012189:Retrospective Studies; D018805:Sepsis / Q000401:mortality / Q000503:physiopathology / Q000662:veterinary*; D015996:Survival Rate