Evidence Hub

Blood Pressure after Endovascular Therapy for Ischemic Stroke (BEST): A Multi-center Prospective Cohort Study

Eva A. Mistry, H. Sucharew, Akshitkumar M. Mistry, Tapan Mehta, Niraj Arora, A. Starosciak, Felipe De Los Rios La Rosa, J. Siegler et al.

Stroke, 2019

485 participants · 81 citations

Abstract

Background and Purpose: To identify the specific post-endovascular stroke therapy (EVT) peak systolic blood pressure (SBP) threshold that best discriminates good from bad functional outcomes (a priori hypothesized to be 160 mmHg), we conducted a prospective, multi-center (12 comprehensive stroke centers across the United States), cohort study with a prespecified analysis plan. Methods: Consecutive adult patients treated with EVT for an anterior ischemic stroke were enrolled from 11/2017 to 07/2018. All SBP values within 24 hours post-EVT were recorded. Using Youden’s index, the threshold of peak SBP that best discriminated primary outcome of dichotomized 90-day mRS (0-2 vs. 3-6) was identified. Association of this SBP threshold with the outcomes was quantified using multiple logistic regression. Results: Among 485 enrolled patients [median age 69 (IQR 57,79) years; 51% females], a peak SBP of 158 mmHg was associated with the largest difference in the dichotomous mRS (absolute risk reduction of 19%). Having a peak SBP >158 mmHg resulted in an increased likelihood of mRS 3-6 (OR 2.24 [1.52-3.29], p158 had an increased likelihood of having a bad outcome in unadjusted, but not in adjusted analysis. The observed effect size was similar to prior studies. This finding should undergo further testing in a future randomized trial of goal-targeted post-EVT antihypertensive treatment. .

How strong is the evidence?

Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 485 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free