Scoring system models previously established by Segev et al for outcome prediction in dogs with AKI were applied to all dogs.
Models A, B, and C correctly classified outcomes in 68%, 83%, and 85% of cases, respectively.
In our cohort Model A showed sensitivity of 58% and specificity of 86%, Model B showed sensitivity of 79% and specificity of 87%, Model C showed sensitivity of 86% and specificity of 84%.
The presence of anuria (P < 0.0002), respiratory complications (P < 0.0001), disseminated intravascular coagulation (DIC) (P = 0.0004), grade of AKI (P = 0.0023), pancreatitis (P = 0.0001), and systemic inflammatory response syndrome (SIRS) (P = 0.0001) was significantly higher in nonsurvivors compared with survivors.
In our cohort of patients, Segev`s model C showed the best sensitivity and specificity for predicting prognosis, while model A had lower sensitivity.
In our cohort of dialysis patients, the presence of respiratory complications, DIC, SIRS, and pancreatitis at hospitalization, were correlated with a poor prognosis.
Source: Francesca Perondi DVM, PhD Ilaria Lippi DVM, PhD Gianila Ceccherini DVM, PhD Veronica Marchetti DVM, PhD Lucrezia Bernicchi DVM Grazia Guidi DVM, PhD, Evaluation of a prognostic scoring system for dogs managed with hemodialysis. VEC, Early View. First published: 24 June 2018 https://doi.org/10.1111/vec.12736
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