Evaluation of the neutrophil‐to‐lymphocyte and platelet‐to‐lymphocyte ratios in critically ill dogs
Lisa H. Dourmashkin, Bridget Lyons, Rebecka S. Hess, Koranda A. Walsh, Deborah C. Silverstein
Abstract
Abstract Objective To evaluate whether the neutrophil‐to‐lymphocyte ratio (NLR) and platelet‐to‐lymphocyte ratio (PLR) are accurate prognostic indicators and correlate with illness severity scores in critically ill dogs. Design Prospective observational study from December 2016 to May 2017. Setting ICU at a veterinary teaching hospital. Animals Seventy‐two client‐owned dogs admitted to the ICU with CBCs and abbreviated and complete acute patient physiologic and laboratory evaluation (APPLE fast and APPLE full ) scores were enrolled. Interventions None. Measurements and Main Results The NLR, PLR, APPLE fast , and APPLE full scores were calculated for each patient on the day of admission. Patients were followed from admission to discharge, and diagnosis, survival, and length of hospitalization were recorded. The patient population was assessed as a whole and as subcategories of patients with neoplastic disease, infectious disease, sepsis, and severe hemorrhage. Dogs with nonseptic disease processes ( n = 52) that died had a significantly higher median PLR ( P = 0.04) of 441 (range: 106–986) compared to those that survived with a median PLR of 217 (range: 28.4–3225). The PLR was strongly predictive of ICU length of stay in dogs with severe hemorrhage ( P = 0.03, Spearman's rho = 0.84). The NLR had a poor positive correlation with APPLE full score ( P = 0.04, Spearman's rho = 0.24), and PLR had a poor negative correlation with APPLE fast score ( P = 0.02, Spearman's rho = –0.27). Conclusions The PLR correlated with ICU length of stay for patients with severe hemorrhage and with survival for patients with nonseptic disease processes. The PLR and NLR correlated with illness severity as measured by APPLE scores. Future studies with larger sample sizes are warranted to further determine the merit of NLR and PLR as indicators of morbidity, mortality, and illness severity.