In this retrospective study, administration of type-specific, cross-match compatible pRBC transfusions resulted in significantly greater increases in the posttransfusion PCV when compared to administration of typed, noncross-matched pRBCs. Future prospective studies evaluating the effect of cross-match on transfusion efficacy in cats are warranted.

Application of artificial intelligence (AI) to improve clinical diagnosis is a burgeoning field in human and veterinary medicine. The objective of this prospective, diagnostic accuracy study was to determine the accuracy, sensitivity, and specificity of an AI‐based software for diagnosing canine cardiogenic pulmonary edema from thoracic radiographs, using an American College of Veterinary Radiology‐certified veterinary radiologist's interpretation as the reference standard. Five hundred consecutive canine thoracic radiographs made after‐hours by a veterinary Emergency Department were retrieved. A total of 481 of 500 cases were technically analyzable. Based on the radiologist's assessment, 46 (10.4%) of these 481 dogs were diagnosed with cardiogenic pulmonary edema (CPE+). Of these cases, the AI software designated 42 of 46 as CPE+ and four of 46 as cardiogenic pulmonary edema negative (CPE−). Accuracy, sensitivity, and specificity of the AI‐based software compared to radiologist diagnosis were 92.3%, 91.3%, and 92.4%, respectively (positive predictive value, 56%; negative predictive value, 99%). Findings supported using AI software screening for thoracic radiographs of dogs with suspected cardiogenic pulmonary edema to assist with short‐term decision‐making when a radiologist is unavailable.

Objective: To compare the diagnostic utility of traditional diagnostic tests (ie, radiographs and focused assessment using sonography for trauma [FAST] scans) to wholebody computed tomography (WBCT) for characterizing injuries in polytrauma patients.A secondary objective was to compare costs of traditional diagnostic tests to WBCT.

Objective: To determine whether admission venous plasma lactate concentration, serially calculated lactate variables, or the Acute Patient Physiologic and Laboratory Evaluation (APPLE fast ) score could discriminate hospital survivors from non-survivors in dogs presenting to the emergency department with clinical signs of shock.Design: Prospective case series performed over a 24-month period.Setting: Large urban private teaching hospital.Animals: Seventy-one dogs admitted to the ICU with initial peripheral venous plasma lactate concentration > 2.5 mmol/L and clinical and hemodynamic parameters consistent with shock. Interventions: None. Measurements and main results: Heart rate, systolic blood pressure, temperature, initial venous plasma lactate, and APPLE fast score were recorded at admission. Lactate concentrations were serially recorded at predefined time points and used to calculate lactate variables, including lactime (time lactate > 2.5 mmol/L), lactate clearance ([lactate initial -lactate delayed ]/ lactate initial × 100), and LAC AREA (area under the lactate concentration versus time curve). Primary outcome was survival to discharge. Overall survival rate was 61%. Admission plasma lactate did not differ between groups