Source
Department of Neurocritical Care and Stroke, Regional Neuroscience Program, Kaiser Permanente Northern California, Redwood City, California 94063, USA. alexander.c.flint@kp.org
Abstract
BACKGROUND AND PURPOSE:
Endovascular treatments are being increasingly used in acute ischemic stroke, and better tools are needed to determine which patients may benefit most from these techniques. We hypothesized that specific chronic diseases can be used, along with age and stroke severity, to predict endovascular stroke treatment outcomes.
MATERIALS AND METHODS:
Data from 2 single-arm trials of a thrombectomy device, MERCI and Multi MERCI, were pooled for analysis. A predictive score was developed by using the independent contribution of variables in multivariable analysis.
RESULTS:
HTN, DM, and AFib were found to predict outcomes. These 3 conditions contribute equally to a CDS that predicts outcomes independent of other predictor variables, including age, stroke severity, and vessel recanalization. A 10-level predictive score, the THRIVE score, which incorporates age, stroke severity, and the CDS, was developed. The THRIVE score strongly predicts outcome and mortality at 90 days.
CONCLUSIONS:
Specific chronic diseases influence poststroke outcomes among patients undergoing endovascular stroke treatment, independent of other predictors of outcome. The THRIVE score reflects the contributions of chronic disease, age, and stroke severity and strongly predicts endovascular stroke treatment outcomes.