Köster Liza S, Fosgate Geoffrey T, Suchodolski Jan, Lidbury Jonathan, Steiner Jörg M
Department of Clinical Sciences and Center for Integrative Mammalian Research, Federation of St Kitts, Ross University School of Veterinary Medicine, Basseterre, West Indies.
Department of Production Animal Studies, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, South Africa.
J Vet Emerg Crit Care (San Antonio). 2019 Mar;29(2):154-160. doi: 10.1111/vec.12823. Epub 2019 Mar 12.
To determine if selected serum biomarkers are superior to the acute patient physiologic and laboratory evaluation (APPLE) complete score in predicting 30-day mortality in a non-homogeneous disease population of critically ill dogs.
Prospective cohort study comparing the serum biomarkers adiponectin, leptin, C-reactive protein, and S100A12 concentrations between surviving and nonsurviving critically ill dogs.
University small animal teaching hospital.
Seventy critically ill dogs were prospectively recruited, and an APPLE complete score was calculated within 24 hours of being admitted to the intensive care unit. Logistic regression models were fit to estimate the association between biomarkers and 30-day survival. Results were interpreted at the 5% level of significance.
Leptin was the only biomarker that was significantly correlated with the APPLE complete score (P < 0.001). Only the APPLE complete score (P = 0.003) and illness duration of < 1 day (P = 0.043) were significantly associated with outcome.
Based on the results of this study, there appears to be no benefit in using biomarkers over the APPLE score for disease severity stratification. Serum leptin concentration was significantly correlated with disease severity as determined by APPLE scoring. Longer duration of illness prior to admission was associated with a higher risk of death. APPLE scores were highest in dogs with infectious and immune-mediated diseases and bite wounds.
确定在预测非均质重症犬疾病群体的30天死亡率方面,所选血清生物标志物是否优于急性患者生理和实验室评估(APPLE)综合评分。
前瞻性队列研究,比较存活和未存活的重症犬之间血清生物标志物脂联素、瘦素、C反应蛋白和S100A12的浓度。
大学小动物教学医院。
前瞻性招募70只重症犬,在进入重症监护病房后24小时内计算APPLE综合评分。采用逻辑回归模型估计生物标志物与30天生存率之间的关联。结果在5%的显著性水平上进行解释。
瘦素是唯一与APPLE综合评分显著相关的生物标志物(P<0.001)。只有APPLE综合评分(P=0.003)和病程<1天(P=0.043)与预后显著相关。
基于本研究结果,在疾病严重程度分层方面,使用生物标志物似乎并不比APPLE评分更具优势。血清瘦素浓度与通过APPLE评分确定的疾病严重程度显著相关。入院前病程较长与死亡风险较高相关。APPLE评分在患有感染性和免疫介导性疾病以及咬伤的犬中最高。