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Background Hemorrhagic transformation (HT) is a major complication in patients with acute ischemic stroke (AIS) treated with endovascular thrombectomy. However, HT in patients with AIS due to medium‐vessel occlusions has still not been well researched. In large‐vessel occlusions, collateral status is an important determinant of postprocedural HT, and the cerebral blood volume (CBV) index is a reliable surrogate of collateral status. The aim of our study is to identify an optimal CBV index threshold associated with HT in patients with AIS due to medium‐vessel occlusion and evaluate additional parameters that are independently associated with HT in this group. Methods This retrospective analysis of our prospectively collected database from 2 comprehensive stroke centers consisted of patients presenting with AIS due to medium‐vessel occlusion from 2019 to 2023. The primary outcome was the presence of HT on follow‐up imaging. Optimal CBV index cutoff for HT was derived from a univariate logistic regression analysis. Multivariable logistic regression analysis for HT was derived from the dichotomized CBV index and other covariates. The receiver operator characteristic curve yielded area under the curve. Statistical significance was P≤$ \le $0.05. Results Of 111 patients (median age, 70 years; 43.2% women) included, 26 (23.4%) patients had HT. The optimal CBV index cutoff was 0.7. From multivariable regression analysis, significant variables included prior stroke (adjusted odds ratio [aOR], 7.18 [95% CI, 1.60–32.16]; P = 0.01), endovascular thrombectomy attempt (aOR, 7.86 [95% CI, 1.78–34.68]; P = 0.01), and CBV index (≤$ \le $ 0.7; aOR, 4.23 [95% CI, 1.02–17.59]; P = 0.04). The area under the curve was 0.82 (95% CI, 0.69–0.91). Conclusion A CBV index ≤$ \le $ 0.7 was independently associated with HT in patients with AIS due to medium‐vessel occlusion. Endovascular thrombectomy attempt and prior stroke history were also independently associated with HT in this population.

Objective: To assess pretreatment and interventional parameters as predictors of favorable Activity Measure for Post-Acute Care (AM-PAC) scores for optimal discharge planning. Design: In this prospectively collected, retrospectively reviewed multicenter study from 9/1/2017 to 9/22/2022, patients were dichotomized into favorable and unfavorable AM-PAC. Multivariate logistic regression and receiver operator characteristics analyses were performed for the identified significant variables. A P value of ≤.05 was significant. Setting: Hospitalized care. Participants: In total, 229 patients (mean ±SD 70.65 ±15.2 [55.9% women]) met our inclusion criteria. Inclusion criteria were (a) computed tomography (CT) angiography confirmed LVO from 9/1/2017 to 9/22/2022; (b) diagnostic CT perfusion; and (c) available AM-PAC scores. Interventions: None. Main Outcome Measures: Favorable AM-PAC, defined as a daily activity score ≥19 and basic mobility score of ≥17. Results: Patients with favorable AM-PAC were younger (61.3 vs 70.7, P