A novel severity scoring system for dogs with heatstroke

Gilad Segev, Itamar Aroch, Michal Savoray, Philip H Kass, Yaron Bruchim

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Objective: To develop a statistically-derived scoring system that can aid in severity assessment and outcome prediction for dogs with heatstroke. Design: Retrospective study. Setting: Veterinary teaching hospital. Animals: One hundred twenty-six client-owned dogs diagnosed with heatstroke. Interventions: None. Measurements and Main Results: Logistic regression analysis was performed to identify clinicopathologic variables, available in the first 24 hours of hospitalization, which were associated with outcome (P ≤ 0.1). These were subjected to further analyses. In Model A, continuous variables were divided into quartiles, and logistic regression was performed to yield quartile-specific odds ratios (ORs) for the outcome. Model A was developed, assigning weighted values to each quartile, based on its corresponding OR for the outcome. An individual predictive score was calculated for each dog by summating all weighted values. Model B was a multivariable logistic regression model. Receiver operator characteristic (ROC) analyses were performed to assess models' performance and to calculate sensitivity, specificity, and optimal cutoff points. The overall mortality rate was 53%. The total predictive score (Model A) was negatively and significantly (P < 0.001) associated with probability of survival. The areas under the ROC curve for Models A and B were 0.92 and 0.86, respectively. The optimal cutoff score for Model A was 35.0, corresponding to sensitivity of 93% and specificity of 86%, correctly classifying 90% of the cases. Conclusions and Clinical Relevance: The proposed models are applicable, allowing objective assessment of the severity and prognosis of heatstroke in dogs; however, they should be validated further in an independent cohort, and used cautiously for assessment of individual cases.

Original languageEnglish (US)
Pages (from-to)240-247
Number of pages8
JournalJournal of Veterinary Emergency and Critical Care
Volume25
Issue number2
DOIs
StatePublished - Mar 1 2015

Fingerprint

Heat Stroke
Logistic Models
Dogs
dogs
Odds Ratio
Animal Hospitals
Sensitivity and Specificity
Teaching Hospitals
odds ratio
Hospitalization
Retrospective Studies
Regression Analysis
Outcome Assessment (Health Care)
Mortality
heat stroke
retrospective studies
prognosis
regression analysis

Keywords

  • Canine
  • Hyperthermia
  • Illness severity score
  • Morbidity
  • Mortality

ASJC Scopus subject areas

  • veterinary(all)

Cite this

A novel severity scoring system for dogs with heatstroke. / Segev, Gilad; Aroch, Itamar; Savoray, Michal; Kass, Philip H; Bruchim, Yaron.

In: Journal of Veterinary Emergency and Critical Care, Vol. 25, No. 2, 01.03.2015, p. 240-247.

Research output: Contribution to journalArticle

Segev, Gilad ; Aroch, Itamar ; Savoray, Michal ; Kass, Philip H ; Bruchim, Yaron. / A novel severity scoring system for dogs with heatstroke. In: Journal of Veterinary Emergency and Critical Care. 2015 ; Vol. 25, No. 2. pp. 240-247.
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