Kennedy R. Lees
University of Glasgow
467 Papers
3.9K Citations
Kennedy R. Lees is an academic researcher from University of Glasgow. The author has contributed to research in topics: Stroke & Medicine. The author has an hindex of 86, co-authored 455 publications. Previous affiliations of Kennedy R. Lees include Ludwig Maximilian University of Munich & Cedars-Sinai Medical Center.
Chat about Author
Papers
Feasibility Platform for Stroke Studies An Online Tool to Improve Eligibility Criteria for Clinical Trials
Jens Minnerup,Benjamin Trinczek,Michael Storck,Maria Hohenberger,Simon Wilpsbäumer,Azmil H. Abdul-Rahim,Kai Timo Liesirova,Anne Broeg-Morvay,Julia Anne Meisterernst,Kennedy R. Lees,Heinrich Mattle,Heike Wersching,Rainer Dziewas,Wolf-Rüdiger Schäbitz,Matthias Schilling +14 more
TL;DR: An online tool to assess the potential effect of inclusion and exclusion criteria on the proportion of patients eligible for an acute stroke trial, FePASS, can help to design stroke studies, optimize eligibility criteria, and to estimate the potential recruitment rate.
5
•Journal Article
A Utility-Weighted Modified Rankin Scale: Derivation and Application to Completed Stroke Trials (P5.008)
Napasri Chaisinanunkul,Jeffrey L. Saver,Tudor G Jovin,Scott M. Berry,Roger J. Lewis,Kennedy R. Lees,Anthony J. Furlan,Blaise Baxter,Helmi L. Lutsep,Marc Ribó,Olav Jansen,Rishi Gupta,Vitor Pereira-Mendes,Raul G Nogueira +13 more
TL;DR: A utility-weighted mRS performs similarly to the standard ordinal mRS in detecting treatment effects in actual stroke trials and in ensures the quantitative outcome is a valid reflection of patient-centered benefits.
4
Characterization of ultrasound-detected cerebral microemboli in patients undergoing cardiac catheterization using an in vitro middle cerebral artery model.
TL;DR: The data suggest that different types of emboli may be involved in different phases of the catheterization, and there was a significant difference in embolic signal intensity and duration between different phases.
4
The prognostic significance of visible infarction on computed tomography following lacunar stroke: results of a long-term follow-up study.
TL;DR: The authors conclude that in their cohort of patients, having corrected for other prognostic variables, the presence of visible infarction on CT brain scan performed between 12 hours and 30 days of onset of lacunar symptoms is not predictive of duration of hospital stay or of longer term outcome.
4