Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence

AK Bonkhoff, C Grefkes - Brain, 2022 - academic.oup.com
Stroke ranks among the leading causes for morbidity and mortality worldwide. New and
continuously improving treatment options such as thrombolysis and thrombectomy have …

Scientific rationale for the inclusion and exclusion criteria for intravenous alteplase in acute ischemic stroke: a statement for healthcare professionals from the …

BM Demaerschalk, DO Kleindorfer, OM Adeoye… - Stroke, 2016 - Am Heart Assoc
Purpose—To critically review and evaluate the science behind individual eligibility criteria
(indication/inclusion and contraindications/exclusion criteria) for intravenous recombinant …

Predicting early mortality of acute ischemic stroke: score-based approach

T Gattringer, A Posekany, K Niederkorn, M Knoflach… - Stroke, 2019 - Am Heart Assoc
Background and Purpose—Several risk factors are known to increase mid-and long-term
mortality of ischemic stroke patients. Information on predictors of early stroke mortality is …

Machine learning to predict mortality after rehabilitation among patients with severe stroke

D Scrutinio, C Ricciardi, L Donisi, E Losavio… - Scientific reports, 2020 - nature.com
Stroke is among the leading causes of death and disability worldwide. Approximately 20–
25% of stroke survivors present severe disability, which is associated with increased …

Ischemic stroke outcome: A review of the influence of post-stroke complications within the different scenarios of stroke care

A Bustamante, T Garcia-Berrocoso, N Rodriguez… - European journal of …, 2016 - Elsevier
Stroke remains one of the main causes of death and disability worldwide. The challenge of
predicting stroke outcome has been traditionally assessed from a general point of view …

Thinking about the future: a review of prognostic scales used in acute stroke

BA Drozdowska, S Singh, TJ Quinn - Frontiers in neurology, 2019 - frontiersin.org
Background: There are many prognostic scales that aim to predict functional outcome
following acute stroke. Despite considerable research interest, these scales have had …

Pre-stroke modified Rankin scale: evaluation of validity, prognostic accuracy, and association with treatment

TJ Quinn, M Taylor-Rowan, A Coyte, AB Clark… - Frontiers in …, 2017 - frontiersin.org
Background and purpose The modified Rankin Scale (mRS) was designed to measure
poststroke recovery but is often used to describe pre-stroke disability. We sought to evaluate …

Stroke prognostic scores and data-driven prediction of clinical outcomes after acute ischemic stroke

K Matsumoto, Y Nohara, H Soejima, T Yonehara… - Stroke, 2020 - Am Heart Assoc
Background and Purpose—Several stroke prognostic scores have been developed to
predict clinical outcomes after stroke. This study aimed to develop and validate novel data …

Long-term consequences of worsened poststroke status in patients with premorbid disability: implications for treatment

A Ganesh, R Luengo-Fernandez, ST Pendlebury… - Stroke, 2018 - Am Heart Assoc
Background and Purpose—Patients with premorbid disability, generally defined as modified
Rankin Scale (mRS) score≥ 2, are often excluded from trials of acute stroke therapies …

B-type natriuretic peptides and mortality after stroke: a systematic review and meta-analysis

T Garcia-Berrocoso, D Giralt, A Bustamante, T Etgen… - Neurology, 2013 - AAN Enterprises
Objective: To measure the association of B-type natriuretic peptide (BNP) and N-terminal
fragment of BNP (NT-proBNP) with all-cause mortality after stroke, and to evaluate the …