APA
Iglesias-García, Manuel & Rodríguez Hurtado, Isabel & Ortiz Díez, Gustavo & De la Calle del Barrio, Jorge & Fernández Pérez, Cristina & Gómez Lucas, Raquel (2022 ) .Predictive Models for Equine Emergency Exploratory Laparotomy in Spain: Pre-, Intra-, and Post-Operative-Mortality-Associated Factors.
ISO 690
Iglesias-García, Manuel & Rodríguez Hurtado, Isabel & Ortiz Díez, Gustavo & De la Calle del Barrio, Jorge & Fernández Pérez, Cristina & Gómez Lucas, Raquel. 2022 .Predictive Models for Equine Emergency Exploratory Laparotomy in Spain: Pre-, Intra-, and Post-Operative-Mortality-Associated Factors.
https://hdl.handle.net/20.500.12080/44874
Résumé:
: 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.
Keywords: epidemiology; horse; colic; survival; predictive