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Prediction of blood pressure variability during thrombectomy using supervised machine learning and outcomes of patients with ischemic stroke from large vessel occlusion
AbstractMechanical thrombectomy (MT) is the standard of care for patients with acute ischemic stroke from large vessel occlusion (AIS-LVO). The association of blood pressure variability (BPV) during MT and outcomes are unknown. We leveraged a supervised machine learning algorithm to predict patient characteristics that are associated with BPV indices. We performed a retrospective review of our comprehensive stroke center ’s registry of all adult patients undergoing MT between 01/01/2016 and 12/31/2019. The primary outcome was poor functional independence, defined as 90-day modified Rankin Scale (mRS) ≥ 3. We used p...
Source: Journal of Thrombosis and Thrombolysis - April 12, 2023 Category: Hematology Source Type: research

Prevention of central nervous system sequelae in sickle cell disease without evidence from randomized controlled trials: the case for a team-based learning collaborative.
Authors: DeBaun MR, King AA Abstract Since 1998, the National Institutes of Health has funded 5 randomized controlled trials (RCTs) for primary and secondary prevention of strokes in children with sickle cell anemia (SCA). In a systematic fashion, these trials have significantly advanced the care of children with SCA. In the absence of an RCT, clinicians are often compelled to make decisions at the bedside, based on experience, observational studies, and principles of hematology. We will provide an initial example that describes how a team-based, learning collaborative developed a multisite standard care protocol w...
Source: Hematology ASH Education Program - December 4, 2016 Category: Hematology Tags: Hematology Am Soc Hematol Educ Program Source Type: research