Predictive Models for Equine Emergency Exploratory Laparotomy in Spain: Pre-, Intra-, and Post-Operative-Mortality-Associated Factors

• Published in: Animals (Basel) 2022-05, Vol.12 (11), p.1375
• Main Authors: Iglesias-García, Manuel, Rodríguez Hurtado, Isabel, Ortiz-Díez, Gustavo, De la Calle Del Barrio, Jorge, Fernández Pérez, Cristina, Gómez Lucas, Raquel
• Format: Article
• Language: English
• Subjects: Colic; epidemiology; horse; Horses; Hospitalization; Intestine; Laparotomy; Large intestine; Lesions; Medical prognosis; Mortality; Patients; Population; Prediction models; predictive; Prognosis; Risk analysis; Risk factors; Seasonal variations; Seasons; Small intestine; Statistical analysis; Surgery; Survival; Variables
• ISSN: 2076-2615; 2076-2615
• DOI: 10.3390/ani12111375

The extrinsic and intrinsic characteristics of an equine population may influence the onset of gastrointestinal lesions and affect the survival rate of patients. The equine population in Spain has been the focus of a small number of studies, none of which have involved more than one surgical center. In this retrospective cohort study, we aimed to analyze the survival rate, identify the variables that influenced death, and generate multivariate models using clinical variables. Data were collected from the clinical records of two surgical referral centers in the same region, and a total of 566 horses met the inclusion criteria. The statistical analysis was divided into three parts: The first and second included logistic analysis, in order to identify the variables most closely associated with survival. The third part assessed all previous variables in terms of survival and hospitalization time, using a COX survival analysis. The main risk factors associated with intra-operative mortality were related to seasonality (winter and summer), patient age (older than 9 years), distance from the hospital, the presence of a strangulating lesion, and the bowel segment affected (small intestine). Furthermore, the main factors associated with mortality during hospitalization were the characteristics of the lesions (strangulating) and the differences between surgical centers. The models generated in this study have good predictive value and use only reliable and easily obtainable variables. The most reliable characteristics are those related to the type of colic and the location of the lesion.