Edwards Sarah M, Hess Rebecka S
Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
J Vet Intern Med. 2025 Mar-Apr;39(2):e70044. doi: 10.1111/jvim.70044.
Acute patient physiologic and laboratory evaluation (APPLE) scores have not been reported in dogs with diabetic ketoacidosis (DKA).
The APPLE scores will be higher in non-survivors compared with survivors, and higher scores will predict increased mortality in dogs with DKA.
Eighty-five dogs with DKA; 58 survivors (68%) and 27 non-survivors (32%).
Retrospective study. The APPLE scores were entered into a multivariate logistic regression model for mortality prediction. Variables related to DKA diagnosis also were examined as mortality predictors. If variables predicted mortality, an empirical optimal cut point, corresponding area under the receiver operating curve (AUC), and sensitivity and specificity for predicting mortality were calculated.
Mean 10-variable APPLE and median 5-variable APPLE scores were higher in non-survivors (32 ± 10 and 11; range, 3-29, respectively) compared with survivors (25 ± 8; p < 0.001 and 7; range, 0-24; p = 0.02, respectively). The APPLE score predicted mortality (p = 0.03). The AUC for the APPLE as a predictor of mortality was 0.67 and at the empirical optimal cutpoint of 23.5 the sensitivity and specificity of the APPLE score for mortality prediction were 85% and 48%, respectively. Beta-hydroxybutyrate concentration (BOHB) also predicted mortality (p = 0.02). The AUC for BOHB as a mortality predictor was 0.75 and at the empirical optimal cutpoint of 4.75 the sensitivity and specificity of BOHB for mortality prediction were 58% and 92%, respectively.
The APPLE score and BOHB predict mortality in dogs with DKA and can be used to stratify DKA dogs into appropriate survival groups.
糖尿病酮症酸中毒(DKA)犬的急性患者生理和实验室评估(APPLE)评分尚未见报道。
与存活犬相比,非存活犬的APPLE评分更高,且更高的评分可预测DKA犬死亡率增加。
85只患有DKA的犬;58只存活犬(68%)和27只非存活犬(32%)。
回顾性研究。将APPLE评分纳入多因素逻辑回归模型以预测死亡率。还对与DKA诊断相关的变量作为死亡率预测指标进行了检查。如果变量可预测死亡率,则计算经验性最佳切点、相应的受试者工作特征曲线下面积(AUC)以及预测死亡率的敏感性和特异性。
与存活犬(25±8;p<0.001)相比,非存活犬的平均10变量APPLE评分和中位数5变量APPLE评分更高(分别为32±10和11;范围分别为3 - 29和7;范围为0 - 24;p = 0.02)。APPLE评分可预测死亡率(p = 0.03)。APPLE作为死亡率预测指标的AUC为0.67,在经验性最佳切点23.5时,APPLE评分预测死亡率的敏感性和特异性分别为85%和48%。β-羟丁酸浓度(BOHB)也可预测死亡率(p = 0.02)。BOHB作为死亡率预测指标的AUC为0.75,在经验性最佳切点4.75时,BOHB预测死亡率的敏感性和特异性分别为58%和92%。
APPLE评分和BOHB可预测DKA犬的死亡率,并可用于将DKA犬分层到合适的存活组。