Thrombolysis Experience in Costa Rica Compared Against Individual Patient Data from two Randomized Controlled Trials.


Journal

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
ISSN: 1532-8511
Titre abrégé: J Stroke Cerebrovasc Dis
Pays: United States
ID NLM: 9111633

Informations de publication

Date de publication:
Aug 2022
Historique:
received: 12 04 2022
revised: 03 06 2022
accepted: 08 06 2022
pubmed: 23 6 2022
medline: 27 7 2022
entrez: 22 6 2022
Statut: ppublish

Résumé

We sought to compare thrombolysis outcomes from the Costa Rican Stroke Registry Program (CRSRP) with published individual patient data from NINDS and CLOTBUST-ER trials using matching and outcome modeling from randomized clinical trials (RCTs). A retrospective observational study matching subjects on baseline characteristics, from the CRSRP, the control arm of CLOTBUST-ER, and the interventional arm of NINDS trials. Day 7-10/discharge modified Rankin Score (mRS), and early mortality was compared between matched subjects. A mortality model derived from RCTs was developed, and outcomes were compared at similar baseline NIHSS scores. CRSRP symptomatic hemorrhage (SICH) rate was compared with an Ibero-American cohort (IAC). Of 540 CRSRP patients, 351 received rt-PA under 3 hours and were matched with NINDS subjects yielding 292 pairs; 161 CRSRP subjects treated within 4.5 hours were matched with CLOTBUST-ER subjects resulting in 151 pairs. The proportion of patients achieving excellent outcomes (mRS 0-1) did not differ between CRSRP and either NINDS or CLOTBUST-ER (CRSRP vs NINDS: 36.6% vs 32.9%, p=0.3; CRSRP vs CLOTBUST-ER: 26.5% vs 24.5%, p=0.8). Mortality was higher for CRSRP vs CLOTBUST-ER (7.3% vs 0.7%, p=0.006), but not vs NINDS (6.5% vs 4.5%, p=0.4). A pooled mortality model derived from 15 RCTs representing 4410 patients (R Functional outcomes and SICH of thrombolysed Costa Rican patients compared favorably with published datasets, with a potential increase in early mortality.

Identifiants

pubmed: 35732087
pii: S1052-3057(22)00293-2
doi: 10.1016/j.jstrokecerebrovasdis.2022.106599
pii:
doi:

Substances chimiques

Fibrinolytic Agents 0
Tissue Plasminogen Activator EC 3.4.21.68

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

106599

Informations de copyright

Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of conflicting interests PM is funded (2018-2023) by the US Department of State Fulbright Scholar Program to teach Information Theory and Computer Science.  NIH U54MD007602 provided partial support for TAK. PM and TAK hold copyright for PPAIRS and PPREDICTS without a commercial interest.  All remaining authors declare no conflict of interest.

Auteurs

Gabriel Torrealba-Acosta (G)

Baylor College of Medicine Houston, TX, USA.

Miguel Barboza-Elizondo (M)

Hospital Rafael Ángel Calderón Guardia, San José, Costa Rica.

Huberth Fernández-Morales (H)

Hospital Rafael Ángel Calderón Guardia, San José, Costa Rica.

Muhammad Qasim (M)

Baylor College of Medicine Houston, TX, USA.

Paul Litvak (P)

Baylor College of Medicine Houston, TX, USA; Analytical Software and Engineering Research Laboratory, Michael E. DeBakey VA Medical Center Stroke Program, Houston, TX, USA.

Travis Rothlisberger (T)

Cerevast Inc Seattle, WA, USA.

Georgios Tsivgoulis (G)

"Attikon" Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.

Andrei V Alexandrov (AV)

University of Tennessee Health Science Center, Memphis, TN, USA.

Thomas A Kent (TA)

Center for Genomic and Precision Medicine, Institute of Biosciences and Technology, Texas A&M Health Science Center-Houston Campus, Stanley H. Appel Department of Neurology, Houston Methodist Hospital and Research Institute, Houston, TX, USA.

Pitchaiah Mandava (P)

Baylor College of Medicine Houston, TX, USA; Analytical Software and Engineering Research Laboratory, Michael E. DeBakey VA Medical Center Stroke Program, Houston, TX, USA. Electronic address: pitchaiah.mandava@va.gov.

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Classifications MeSH