1. Development of a novel scoring system to predict mortality in canine patients with infection.
- Author
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Horridge MV, Lyons BM, Stefanovski D, and Silverstein DC
- Subjects
- Dogs, Animals, Male, Female, Severity of Illness Index, Sensitivity and Specificity, Dog Diseases mortality, Dog Diseases diagnosis
- Abstract
Objectives: To develop a novel illness severity scoring system to identify canine patients with infection that are at higher risk of mortality., Key Findings: Mentation (Modified Glasgow Coma Scale and the Acute Patient Physiologic and Laboratory Evaluation mentation score), heart rate, pH, P
v co2 , potassium, and total plasma protein were found to be associated with mortality on univariate analysis. Logistic regression found that mentation, heart rate, and Pv co2 combined to form the following score: [(100 × mentation score) + (3 × heart rate) + (10 × Pv co2 ], which was predictive of mortality (area under the receiver operating characteristic curve: 0.88). A cutoff of 900 provided a sensitivity of 80% and a specificity of 80%. If the cutoff was changed to 800, the sensitivity was 100% and the specificity was 50%., Significance: A novel scoring system was developed to predict mortality in hospitalized dogs with confirmed or suspected infection. Further prospective evaluation in a larger patient cohort is necessary to validate this score., (© Veterinary Emergency and Critical Care Society 2024.)- Published
- 2024
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