Biological and Procedural Predictors of Outcome in the Stroke Preclinical Assessment Network (SPAN) Trial.
Andréia Albuquerque Cunha Lopes-de-MoraisTakahiko ImaiXuyan JinJoseph J LocascioLigia Simoes Braga BoisserandAlison L HermanAnjali ChauhanJessica LambKarisma A NagarkattiMarcio Augusto DinizMariia KumskovaNirav DhaneshaPradip K KamatMohammad Badruzzaman KhanKrishnan M DhandapaniRakesh B PatelBrijesh SutariyaYanrong ShiKlaus van LeyenWilliam T KimberlyDavid C HessJaroslaw AronowskiEnrique C LeiraRaymond C KoehlerAnil K ChauhanLauren Hachmann SansingPatrick D LydenCenk AyataPublished in: Circulation research (2024)
Our analyses identified variables affecting endovascular filament MCAo outcome, an experimental stroke model used worldwide. Multiple regression refuted some commonly reported predictors and revealed previously unrecognized associations. Given the multicenter prospective design that represents a sampling of real-world conditions, the degree of heterogeneity mimicking clinical trials, the large number of predictors adjusted for in the multivariable model, and the large sample size, we think this is the most definitive analysis of the predictors of preclinical stroke outcome to date. Future multicenter experimental stroke trials should standardize or at least ensure a balanced representation of the biological and procedural variables identified herein as potential confounders.