Admission clinicopathological data, length of stay, cost and mortality in an equine neonatal intensive care unit.
Abstract: Veterinary internists need to prognosticate patients quickly and accurately in a neonatal intensive care unit (NICU). This may depend on laboratory data collected on admission, the cost of hospitalisation, length of stay (LOS) and mortality rate experienced in the NICU. Therefore, we conducted a retrospective study of 62 equine neonates admitted to a NICU of a private equine referral hospital to determine the prognostic value of venous clinicopathological data collected on admission before therapy, the cost of hospitalisation, LOS and mortality rate. The WBC count, total CO2 (TCO2) and alkaline phosphatase (ALP) were significantly higher (P < or = 0.05) and anion gap lower in survivors compared with nonsurvivors. A logistic regression model that included WBC count, hematocrit, albumin/globulin ratio, ALP, TCO2, potassium, sodium and lactate, was able to correctly predict mortality in 84% of cases. Only anion gap proved to be an independent predictor of neonatal mortality in this study. In the study population, the overall mortality rate was 34% with greatest mortality rates reported in the first 48 hours and again on day 6 of hospitalisation. Amongst the various clinical diagnoses, mortality was highest in foals after forced extraction during correction of dystocia. Median cost per day was higher for nonsurvivors while total cost was higher in survivors.
Publication Date: 2008-02-02 PubMed ID: 18237039DOI: 10.4102/jsava.v78i3.308Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
- Journal Article
Summary
This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.
The research article is about a study done on newborn horses admitted in an intensive care unit to identify vital factors that affect their chances of survival. The study takes into account clinical data from the time of admission, the cost of stay, length of stay, and the mortality rate.
Study Objective
- The prime objective of this study was to assist Veterinary internists in enhancing the prediction of patient outcomes in a neonatal intensive care unit (NICU). The goal was to dissect the influence of different factors, including the laboratory data collected on admission, the cost of hospitalisation, the length of stay (LOS), and the mortality rate.
Study Design
- A retrospective study design was used, with a sample size of 62 equine neonates. The neonates were patients in the NICU at a private equine referral hospital.
- The vital parameters that were evaluated included the neonate’s blood white cell count (WBC), total CO2 (TCO2), alkaline phosphatase (ALP), anion gap, hematocrit, the albumin/globulin ratio, potassium, sodium, and lactate levels.
Major Findings
- The study found significant variances between survivors and non-survivors. The WBC, TCO2, and ALP levels were significantly higher in survivors, while the anion gap was lower.
- The logistic regression model built using the above-mentioned various parameters could predict mortality in 84% of cases. However, only the anion gap emerged as an independent predictor of neonatal mortality in the study.
- In the chosen population, the study found that the overall mortality rate was 34% with the highest mortality rates reported in the first 48 hours and on day 6 of hospitalisation.
- Foals with the highest mortality were those which underwent forced extraction during the correction of dystocia.
- It was also divulged that the median cost per day was higher for non-survivors, while the total cost was higher in survivors.
Implication of The Study
- The findings of this research provide valuable insights to Veterinary internists, aiding them in determining prognostic factors for neonates admitted in a NICU.
- Such data can facilitate early risk detection, allow for prompt intervention, and aid in more informed decision-making related to treatment options and cost management.
Cite This Article
APA
Saulez MN, Gummow B, Slovis NM, Byars TD, Frazer M, MacGillivray K, Bain FT.
(2008).
Admission clinicopathological data, length of stay, cost and mortality in an equine neonatal intensive care unit.
J S Afr Vet Assoc, 78(3), 153-157.
https://doi.org/10.4102/jsava.v78i3.308 Publication
Researcher Affiliations
- Department of Companion Animal Clinical Studies, Faculty of Veterinary Science, Onderstepoort, University of Pretoria, 0110 South Africa. montague.saulez@up.ac.za
MeSH Terms
- Animals
- Animals, Newborn
- Costs and Cost Analysis
- Horse Diseases / blood
- Horse Diseases / economics
- Horse Diseases / mortality
- Horse Diseases / pathology
- Horses
- Hospitals, Animal / economics
- Hospitals, Animal / statistics & numerical data
- Kaplan-Meier Estimate
- Length of Stay
- Mortality
- Prognosis
- Risk Factors
- Severity of Illness Index
- Time Factors
- Treatment Outcome
- Veterinary Medicine / economics
Citations
This article has been cited 4 times.- Bertin FR, Squires JM, Kritchevsky JE, Taylor SD. Clinical findings and survival in 56 sick neonatal New World camelids. J Vet Intern Med 2015 Jan;29(1):368-74.
- Castelain D, Bokma J, Pas ML, Verbanck S, Paepe D, Pardon B, Boyen F. Accuracy of two Sepsityper MALDI-TOF MS methods for bacterial identification in bloodstream infections in dogs, foals, and calves using Bayesian latent class model. Vet Q 2025 Dec;45(1):2538873.
- Parra MT, Ayala MSF. Retrospective five-year study of equine casuistry in a Colombian perinatology center. Braz J Vet Med 2025;47:e005824.
- Castelain DL, Dufourni A, Pas ML, Bokma J, de Bruijn E, Paulussen E, Lefère L, van Loon G, Pardon B. Retrospective cohort study on diseases and risk factors associated with death in hospitalized neonatal foals. J Vet Intern Med 2025 Jan-Feb;39(1):e17269.
Use Nutrition Calculator
Check if your horse's diet meets their nutrition requirements with our easy-to-use tool Check your horse's diet with our easy-to-use tool
Talk to a Nutritionist
Discuss your horse's feeding plan with our experts over a free phone consultation Discuss your horse's diet over a phone consultation
Submit Diet Evaluation
Get a customized feeding plan for your horse formulated by our equine nutritionists Get a custom feeding plan formulated by our nutritionists