Validation of a Simple Clinical Tool for Screening of Acute Lacunar Stroke - a substudy of the WAKE-UP trial.

MRI acute stroke diagnostic accuracy early management lacunar stroke screening sensitivity small vessel disease specificity

Journal

International journal of stroke : official journal of the International Stroke Society
ISSN: 1747-4949
Titre abrégé: Int J Stroke
Pays: United States
ID NLM: 101274068

Informations de publication

Date de publication:
27 Apr 2024
Historique:
medline: 28 4 2024
pubmed: 28 4 2024
entrez: 27 4 2024
Statut: aheadofprint

Résumé

Lacunar stroke represents around a quarter of all ischemic strokes, however, their identification with Computed Tomography in the hyperacute setting is challenging. We aimed to validate a clinical score to identify lacunar stroke in the acute setting, independently, with data from the WAKE-UP trial using magnetic resonance imaging. We analysed data from the WAKE-UP trial and extracted Oxfordshire Community Stroke Project (OCSP) classification. Lacunar score was defined by NIHSS<7 and OCSP lacunar syndrome. Assessment of lacunar infarct by two independent investigators was blinded to clinical data. We calculated sensitivity, specificity, negative and positive predictive value (NPV and PPV, respectively) of lacunar score. We included 503 patients in the analysis, mean (±SD) age 65.2 (±11.6), 325 (65%) males, median (IQR) NIHSS=6 (4-9); 108 (22%) lacunar infarcts were identified on MR, patients fulfilling lacunar score criteria were 120 (24%), of which 47 (44%) had a lacunar infarct. Lacunar score correctly identified 322 (82%) of patients without lacunar infarct. Patients with lacunar score had lower NIHSS (4 vs 7,p<0.001), higher systolic (157 mmHg vs 151 mmHg,p=0.001) and diastolic (86 mmHg vs 83 mmHg,p=0.013) blood pressure and smaller infarct volume (2.4 ml vs 9.5 ml,p<0.001). Performance of lacunar score was: sensitivity 0.44; specificity 0.82; PPV 0.39; NPV 0.84; accuracy 0.73. Assuming a prevalence of lacunar stroke of 13%, PPV lowered to 0.30 but NPV was 0.90. Lacunar score performed better for supratentorial lacunar infarcts. Lacunar score had a very good specificity and NPV for screening of lacunar stroke. Implementation of this simple tool into clinical practice may help hyperacute management and guide patient selection in clinical trials.

Identifiants

pubmed: 38676549
doi: 10.1177/17474930241253987
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

17474930241253987

Auteurs

Francesco Arba (F)

Stroke Unit, Careggi University Hospital, Florence, Italy.

Chiara Rinaldi (C)

NEUROFARBA Department, Florence, Italy.

Märit Jensen (M)

Klinik und Poliklinik für Neurologie, Kopf- und Neurozentrum, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.

Matthias Endres (M)

Klinik und Hochschulambulanz für Neurologie, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Centrum für Schlaganfallforschung Berlin (CSB), Charité - Universitätsmedizin Berlin, Berlin, Germany.
German Center for Neurodegenerative Diseases (DZNE), partner site Berlin, Berlin, Germany.
German Centre for Cardiovascular Research (DZHK), partner site Berlin, Berlin, Germany.
German Center for Mental Health (DZPG), partner site Berlin, Berlin, Germany.

Jochen Benedikt Fiebach (JB)

Centrum für Schlaganfallforschung Berlin (CSB), Charité - Universitätsmedizin Berlin, Berlin, Germany.

Robin Lemmens (R)

KU Leuven - University of Leuven, Department of Neurosciences, Experimental Neurology; VIB Center for Brain & Disease Research; University Hospitals Leuven, Department of Neurology, Leuven, Belgium.

Keith W Muir (KW)

Institute of Neuroscience & Psychology, University of Glasgow, Glasgow, UK.

Norbert Nighoghossian (N)

Department of Stroke Medicine, Université Claude Bernard Lyon; Hospices Civils de Lyon, Lyon, France.

Salvador Pedraza (S)

Department of Radiology, Institut de Diagnòstic per la Image (IDI), Hospital Dr Josep Trueta, Institut d'Investigació Biomèdica de Girona (IDIBGI), Girona, Spain.

Claus Simonsen (C)

Department of Neurology, Aarhus University Hospital, Aarhus, Denmark.

Vincent Thijs (V)

Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia.

Christian Gerloff (C)

Klinik und Poliklinik für Neurologie, Kopf- und Neurozentrum, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.

Joanna Wardlaw (J)

Centre for Clinical Brain Sciences and UK Dementia Research Institute Centre, University of Edinburgh, Edinburgh, UK.

Götz Thomalla (G)

Klinik und Poliklinik für Neurologie, Kopf- und Neurozentrum, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.

Classifications MeSH