Golden Hour Treatment With tPA (Tissue-Type Plasminogen Activator) in the BEST-MSU Study.


Journal

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

Informations de publication

Date de publication:
Feb 2023
Historique:
entrez: 23 1 2023
pubmed: 24 1 2023
medline: 26 1 2023
Statut: ppublish

Résumé

Treatment of patients with acute ischemic stroke on mobile stroke units (MSUs) improves outcomes compared with management by standard emergency medical services ambulances and is associated with more patients treated with intravenous tPA (tissue-type plasminogen activator) in the first golden hour after last known normal. We explored the predictors and outcomes of first-hour treatment (FHT) compared with later treatment in an alternating-week cluster-controlled trial of MSUs. We analyzed all patients treated with intravenous tPA in the BEST-MSU Study (Benefits of Stroke Treatment Delivered by a Mobile Stroke Unit Compared to Standard Management by Emergency Medical Services). After stratifying by treatment timeframe, we identified factors associated with FHT. We performed adjusted analyses of the association between FHT and clinical outcome and modeled the shape of the relationship between last known normal-to-treatment time and excellent outcome. Among 941 tPA-treated patients, 206 (21.8%) had lytic started within 60 minutes. Treatment on the MSU, older age, male sex, alert by 911, faster arrival on-scene and imaging, more severe stroke, atrial fibrillation, and absence of heart failure and pretreatment antihypertensive treatment were associated with FHT. Compared with later treatment, FHT was associated with higher adjusted odds ratio for 90-day modified Rankin Scale score of 0 to 1 (odds ratio, 1.87 [95% CI, 1.25-2.84]; FHT almost doubles the odds of excellent clinical outcome without increased risk compared with later treatment, which supports the use of MSUs.

Sections du résumé

BACKGROUND BACKGROUND
Treatment of patients with acute ischemic stroke on mobile stroke units (MSUs) improves outcomes compared with management by standard emergency medical services ambulances and is associated with more patients treated with intravenous tPA (tissue-type plasminogen activator) in the first golden hour after last known normal. We explored the predictors and outcomes of first-hour treatment (FHT) compared with later treatment in an alternating-week cluster-controlled trial of MSUs.
METHODS METHODS
We analyzed all patients treated with intravenous tPA in the BEST-MSU Study (Benefits of Stroke Treatment Delivered by a Mobile Stroke Unit Compared to Standard Management by Emergency Medical Services). After stratifying by treatment timeframe, we identified factors associated with FHT. We performed adjusted analyses of the association between FHT and clinical outcome and modeled the shape of the relationship between last known normal-to-treatment time and excellent outcome.
RESULTS RESULTS
Among 941 tPA-treated patients, 206 (21.8%) had lytic started within 60 minutes. Treatment on the MSU, older age, male sex, alert by 911, faster arrival on-scene and imaging, more severe stroke, atrial fibrillation, and absence of heart failure and pretreatment antihypertensive treatment were associated with FHT. Compared with later treatment, FHT was associated with higher adjusted odds ratio for 90-day modified Rankin Scale score of 0 to 1 (odds ratio, 1.87 [95% CI, 1.25-2.84];
CONCLUSIONS CONCLUSIONS
FHT almost doubles the odds of excellent clinical outcome without increased risk compared with later treatment, which supports the use of MSUs.

Identifiants

pubmed: 36689579
doi: 10.1161/STROKEAHA.122.039821
doi:

Substances chimiques

Tissue Plasminogen Activator EC 3.4.21.68
Fibrinolytic Agents 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

415-425

Auteurs

Jason Mackey (J)

Department of Neurology, Indiana University School of Medicine, Indianapolis (J.M., K.S.).

Jose-Miguel Yamal (JM)

Department of Biostatistics and Data Science, University of Texas School of Public Health, Houston (J.-M.Y., S.S.R., M.W., N.S.).

Stephanie A Parker (SA)

Department of Neurology, University of Texas McGovern Medical School, Houston (S.A.P., A.P.J.).

Kelly Silnes (K)

Department of Neurology, Indiana University School of Medicine, Indianapolis (J.M., K.S.).
University of Buckingham Medical School, United Kingdom (K.S.).

Suja S Rajan (SS)

Department of Biostatistics and Data Science, University of Texas School of Public Health, Houston (J.-M.Y., S.S.R., M.W., N.S.).

Asha P Jacob (AP)

Department of Neurology, University of Texas McGovern Medical School, Houston (S.A.P., A.P.J.).

Mengxi Wang (M)

Department of Biostatistics and Data Science, University of Texas School of Public Health, Houston (J.-M.Y., S.S.R., M.W., N.S.).

Noopur Singh (N)

Department of Biostatistics and Data Science, University of Texas School of Public Health, Houston (J.-M.Y., S.S.R., M.W., N.S.).

William J Jones (WJ)

Department of Neurology, University of Colorado, Aurora (W.J.J.).

Ilana Spokoyny (I)

Department of Neurology, Mills Peninsula Medical Center, Burlingame, CA (I.S.).

Babak B Navi (BB)

Department of Neurology, Weill Cornell Medicine, New York, NY (B.B.N.).

Jeffrey L Saver (JL)

Department of Neurology, Ronald Reagan UCLA Medical Center (J.L.S.).

James C Grotta (JC)

Memorial Hermann Hospital-Texas Medical Center, Houston (J.C.G.).

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Classifications MeSH