Individual Patient Data Meta-Analysis of Dynamic Cerebral Autoregulation and Functional Outcome After Ischemic Stroke.

acute stroke autoregulation cerebrovascular stroke meta-analysis transcranial Doppler ultrasonography

Journal

Stroke
ISSN: 1524-4628
Titre abrégé: Stroke
Pays: United States
ID NLM: 0235266

Informations de publication

Date de publication:
21 Mar 2024
Historique:
medline: 21 3 2024
pubmed: 21 3 2024
entrez: 21 3 2024
Statut: aheadofprint

Résumé

The relationship between dynamic cerebral autoregulation (dCA) and functional outcome after acute ischemic stroke (AIS) is unclear. Previous studies are limited by small sample sizes and heterogeneity. We performed a 1-stage individual patient data meta-analysis to investigate associations between dCA and functional outcome after AIS. Participating centers were identified through a systematic search of the literature and direct invitation. We included centers with dCA data within 1 year of AIS in adults aged over 18 years, excluding intracerebral or subarachnoid hemorrhage. Data were obtained on phase, gain, coherence, and autoregulation index derived from transfer function analysis at low-frequency and very low-frequency bands. Cerebral blood velocity, arterial pressure, end-tidal carbon dioxide, heart rate, stroke severity and sub-type, and comorbidities were collected where available. Data were grouped into 4 time points after AIS: <24 hours, 24 to 72 hours, 4 to 7 days, and >3 months. The modified Rankin Scale assessed functional outcome at 3 months. Modified Rankin Scale was analyzed as both dichotomized (0 to 2 versus 3 to 6) and ordinal (modified Rankin Scale scores, 0-6) outcomes. Univariable and multivariable analyses were conducted to identify significant relationships between dCA parameters, comorbidities, and outcomes, for each time point using generalized linear (dichotomized outcome), or cumulative link (ordinal outcome) mixed models. The participating center was modeled as a random intercept to generate odds ratios with 95% CIs. The sample included 384 individuals (35% women) from 7 centers, aged 66.3±13.7 years, with predominantly nonlacunar stroke (n=348, 69%). In the affected hemisphere, higher phase at very low-frequency predicted better outcome (dichotomized modified Rankin Scale) at <24 (crude odds ratios, 2.17 [95% CI, 1.47-3.19]; Greater transfer function analysis-derived phase was associated with improved functional outcome at 3 months after AIS. dCA parameters in the early phase of AIS may help to predict functional outcome.

Sections du résumé

BACKGROUND UNASSIGNED
The relationship between dynamic cerebral autoregulation (dCA) and functional outcome after acute ischemic stroke (AIS) is unclear. Previous studies are limited by small sample sizes and heterogeneity.
METHODS UNASSIGNED
We performed a 1-stage individual patient data meta-analysis to investigate associations between dCA and functional outcome after AIS. Participating centers were identified through a systematic search of the literature and direct invitation. We included centers with dCA data within 1 year of AIS in adults aged over 18 years, excluding intracerebral or subarachnoid hemorrhage. Data were obtained on phase, gain, coherence, and autoregulation index derived from transfer function analysis at low-frequency and very low-frequency bands. Cerebral blood velocity, arterial pressure, end-tidal carbon dioxide, heart rate, stroke severity and sub-type, and comorbidities were collected where available. Data were grouped into 4 time points after AIS: <24 hours, 24 to 72 hours, 4 to 7 days, and >3 months. The modified Rankin Scale assessed functional outcome at 3 months. Modified Rankin Scale was analyzed as both dichotomized (0 to 2 versus 3 to 6) and ordinal (modified Rankin Scale scores, 0-6) outcomes. Univariable and multivariable analyses were conducted to identify significant relationships between dCA parameters, comorbidities, and outcomes, for each time point using generalized linear (dichotomized outcome), or cumulative link (ordinal outcome) mixed models. The participating center was modeled as a random intercept to generate odds ratios with 95% CIs.
RESULTS UNASSIGNED
The sample included 384 individuals (35% women) from 7 centers, aged 66.3±13.7 years, with predominantly nonlacunar stroke (n=348, 69%). In the affected hemisphere, higher phase at very low-frequency predicted better outcome (dichotomized modified Rankin Scale) at <24 (crude odds ratios, 2.17 [95% CI, 1.47-3.19];
CONCLUSIONS UNASSIGNED
Greater transfer function analysis-derived phase was associated with improved functional outcome at 3 months after AIS. dCA parameters in the early phase of AIS may help to predict functional outcome.

Identifiants

pubmed: 38511386
doi: 10.1161/STROKEAHA.123.045700
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Lucy Beishon (L)

Department of Cardiovascular Sciences, University of Leicester, United Kingdom (L.B., S.B., E.H., P.R., J.S.M., T.G.R., R.B.P.).
NIHR Leicester Biomedical Research Centre, British Heart Foundation Cardiovascular Research Centre, Glenfield Hospital, United Kingdom (L.B., J.S.M., T.G.R., R.B.P.).

Terrie Vasilopoulos (T)

Department of Anesthesiology, University of Florida College of Medicine, Gainesville (T.V.).

Angela S M Salinet (ASM)

Neurology Department, Hospital das Clinicas, School of Medicine, University of Sao Paulo, Brazil (A.S.M.S., R.C.N.).

Brooke Levis (B)

Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada (B.L.).
Centre for Prognosis Research, School of Medicine, Keele University, Staffordshire, United Kingdom (B.L.).

Samuel Barnes (S)

Department of Cardiovascular Sciences, University of Leicester, United Kingdom (L.B., S.B., E.H., P.R., J.S.M., T.G.R., R.B.P.).
Department of Stroke Medicine University Hospitals of Leicester NHS Trust, Leicester, United Kingdom (S.B., P.G.).

Eleanor Hills (E)

Department of Cardiovascular Sciences, University of Leicester, United Kingdom (L.B., S.B., E.H., P.R., J.S.M., T.G.R., R.B.P.).

Pranav Ramesh (P)

Department of Cardiovascular Sciences, University of Leicester, United Kingdom (L.B., S.B., E.H., P.R., J.S.M., T.G.R., R.B.P.).

Panagoula Gkargkoula (P)

Department of Stroke Medicine University Hospitals of Leicester NHS Trust, Leicester, United Kingdom (S.B., P.G.).

Jatinder S Minhas (JS)

Department of Cardiovascular Sciences, University of Leicester, United Kingdom (L.B., S.B., E.H., P.R., J.S.M., T.G.R., R.B.P.).
NIHR Leicester Biomedical Research Centre, British Heart Foundation Cardiovascular Research Centre, Glenfield Hospital, United Kingdom (L.B., J.S.M., T.G.R., R.B.P.).

Pedro Castro (P)

Department of Neurology, Centro Hospitalar Universitário de São João, Faculty of Medicine, University of Porto (P.C.).

Patrice Brassard (P)

Département de Kinésiologie, Faculté de Médecine, Institut Universitaire de Cardiologie et de pneumologie de Québec (P.B.).

Nicolai Goettel (N)

Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (N.G.).

Erik D Gommer (ED)

Department of Clinical Neurophysiology, Maastricht University Medical Centre, the Netherlands (E.D.G.).

Jose Luis Jara (JL)

Departamento de Ingeniería Informática, Universidad de Santiago de Chile (J.L.J.).

Jia Liu (J)

Shenzhen Institutes of Advanced Technology at the Chinese Academy of Sciences in Shenzhen, China (J.L.).

Martin Mueller (M)

Department of Neurology and Neurorehabilitation, Spitalstrasse, CH 6000 Lucerne (M.M.).

Nathalie Nasr (N)

Department of Neurology, Poitiers University Hospital, Laboratoire de Neurosciences Expérimentales et Cliniques, University of Poitiers, France (N.N.).

Stephen Payne (S)

Institute of Applied Mechanics, National Taiwan University, Taipei (S.P.).

Andrew D Robertson (AD)

Schlegel-UW Research Institute for Aging, University of Waterloo, ON, CA (A.D.R.).

David Simpson (D)

Faculty of Engineering and Physical Sciences, University of Southampton (D.S.).

Thompson G Robinson (TG)

Department of Cardiovascular Sciences, University of Leicester, United Kingdom (L.B., S.B., E.H., P.R., J.S.M., T.G.R., R.B.P.).
NIHR Leicester Biomedical Research Centre, British Heart Foundation Cardiovascular Research Centre, Glenfield Hospital, United Kingdom (L.B., J.S.M., T.G.R., R.B.P.).

Ronney B Panerai (RB)

Department of Cardiovascular Sciences, University of Leicester, United Kingdom (L.B., S.B., E.H., P.R., J.S.M., T.G.R., R.B.P.).
NIHR Leicester Biomedical Research Centre, British Heart Foundation Cardiovascular Research Centre, Glenfield Hospital, United Kingdom (L.B., J.S.M., T.G.R., R.B.P.).

Ricardo C Nogueira (RC)

Neurology Department, Hospital das Clinicas, School of Medicine, University of Sao Paulo, Brazil (A.S.M.S., R.C.N.).

Classifications MeSH