Abstract TP45: Demonstration Of High Diagnostic Accuracy Of Cerebral Ischemia In A Large Academic Hub And Spoke Telestroke Network

Abstract

Introduction: Telestroke facilitates emergent assessment of patients with suspected acute ischemic stroke (AIS) to identify candidates for acute interventions. The diagnostic accuracy of the telestroke consultation of a large academic hub and spoke telemedicine network has yet to be investigated. The goal of our study is to determine the diagnostic accuracy of the initial telestroke consultation. Methods: This is an IRB-exempt retrospective study including all patients evaluated for cerebral ischemia via video telestroke consultation in a large academic hub and spoke telemedicine network from 2019 to 2020. Detailed chart review was conducted to identify initial suspected diagnosis and final diagnosis. Cerebral ischemia was defined as AIS and transient ischemic attack (TIA). All other diagnoses were defined as stroke mimics. Data was organized into continuous and categorical variables. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, area under the curve (AUC) and likelihood ratio (LR+) for the initial telestroke consultation diagnosis were calculated while using the final diagnosis as the gold standard diagnosis. Results: A total of 1043 patients met inclusion criteria. Final diagnosis of cerebral ischemia was made in 63.5% of all patients (539/1043 with AIS,123/1043 with TIA). Stroke mimic was diagnosed in 36.5% patients (381/1043). The sensitivity and specificity of telestroke evaluation for diagnosis of cerebral ischemia were 97.1% and 81.4%, respectively. PPV was 90.1%, and NPV was 94.2%. Overall diagnostic accuracy was 91.4% with a LR+ of 5.21 and AUC of 0.89. The most common stroke mimics were metabolic encephalopathy (13.7%, 52/381), migraine (10.8%, 41/381) and seizure (10.5%, 40/381). Conclusions: This study highlights the high diagnostic accuracy of telestroke providers to diagnose cerebral ischemia and stroke mimic in a large academic hub and spoke network. Further research is needed to investigate methods to improve our diagnostic accuracy further, as well as explore the application of tele-neurology in the non-stroke setting.