Enhancing stroke risk prediction in patients with transient ischemic attack: insights from a prospective cohort study implementing fast-track care.

fast-track number needed to treat outcomes predictors stroke transient ischemic attack

Journal

Frontiers in neurology
ISSN: 1664-2295
Titre abrégé: Front Neurol
Pays: Switzerland
ID NLM: 101546899

Informations de publication

Date de publication:
2024
Historique:
received: 26 03 2024
accepted: 29 04 2024
medline: 11 6 2024
pubmed: 11 6 2024
entrez: 11 6 2024
Statut: epublish

Résumé

Fast-track care have been proved to reduce the short-term risk of stroke after transient ischemic attack (TIA). We aimed to investigate stroke risk and to characterize short- and long-term stroke predictors in a large cohort of TIA patients undergoing fast-track management. Prospective study, enrolling consecutive TIA patients admitted to a Northern Italy emergency department from August 2010 to December 2017. All patients underwent fast-track care within 24 h of admission. The primary outcome was defined as the first stroke recurrence at 90 days, 12 and 60 months after TIA. Stroke incidence with 95% confidence interval (CI) at each timepoint was calculated using Poisson regression. Predictors of stroke recurrence were evaluated with Cox regression analysis. The number needed to treat (NNT) of fast-track care in preventing 90-day stroke recurrence in respect to the estimates based on baseline ABCD We enrolled 1,035 patients (54.2% males). Stroke incidence was low throughout the follow-up with rates of 2.2% [95% CI 1.4-3.3%] at 90 days, 2.9% [95% CI 1.9-4.2%] at 12 months and 7.1% [95% CI 5.4-9.0%] at 60 months. Multiple TIA, speech disturbances and presence of ischemic lesion at neuroimaging predicted stroke recurrence at each timepoint. Male sex and increasing age predicted 90-day and 60-month stroke risk, respectively. Hypertension was associated with higher 12-month and 60-month stroke risk. No specific TIA etiology predicted higher stroke risk throughout the follow-up. The NNT for fast-track care in preventing 90-day stroke was 14.5 [95% CI 11.3-20.4] in the overall cohort and 6.8 [95% CI 4.6-13.5] in patients with baseline ABCD Our findings support the effectiveness of fast-track care in preventing both short- and long-term stroke recurrence after TIA. Particular effort should be made to identify and monitor patients with baseline predictors of higher stroke risk, which may vary according to follow-up duration.

Sections du résumé

Background and aims UNASSIGNED
Fast-track care have been proved to reduce the short-term risk of stroke after transient ischemic attack (TIA). We aimed to investigate stroke risk and to characterize short- and long-term stroke predictors in a large cohort of TIA patients undergoing fast-track management.
Methods UNASSIGNED
Prospective study, enrolling consecutive TIA patients admitted to a Northern Italy emergency department from August 2010 to December 2017. All patients underwent fast-track care within 24 h of admission. The primary outcome was defined as the first stroke recurrence at 90 days, 12 and 60 months after TIA. Stroke incidence with 95% confidence interval (CI) at each timepoint was calculated using Poisson regression. Predictors of stroke recurrence were evaluated with Cox regression analysis. The number needed to treat (NNT) of fast-track care in preventing 90-day stroke recurrence in respect to the estimates based on baseline ABCD
Results UNASSIGNED
We enrolled 1,035 patients (54.2% males). Stroke incidence was low throughout the follow-up with rates of 2.2% [95% CI 1.4-3.3%] at 90 days, 2.9% [95% CI 1.9-4.2%] at 12 months and 7.1% [95% CI 5.4-9.0%] at 60 months. Multiple TIA, speech disturbances and presence of ischemic lesion at neuroimaging predicted stroke recurrence at each timepoint. Male sex and increasing age predicted 90-day and 60-month stroke risk, respectively. Hypertension was associated with higher 12-month and 60-month stroke risk. No specific TIA etiology predicted higher stroke risk throughout the follow-up. The NNT for fast-track care in preventing 90-day stroke was 14.5 [95% CI 11.3-20.4] in the overall cohort and 6.8 [95% CI 4.6-13.5] in patients with baseline ABCD
Conclusion UNASSIGNED
Our findings support the effectiveness of fast-track care in preventing both short- and long-term stroke recurrence after TIA. Particular effort should be made to identify and monitor patients with baseline predictors of higher stroke risk, which may vary according to follow-up duration.

Identifiants

pubmed: 38859972
doi: 10.3389/fneur.2024.1407598
pmc: PMC11163114
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1407598

Informations de copyright

Copyright © 2024 Barone, Foschi, Pavolucci, Rondelli, Rinaldi, Nicodemo, D’Angelo, Favaretto, Brusi, Cosmi, Degli Esposti, D’Addato, Bacchelli, Giostra, Pomata, Spinardi, Faccioli, Faggioli, Donti, Borghi, Cortelli and Guarino.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Valentina Barone (V)

IRCCS Istituto delle Scienze Neurologiche, Bologna, Italy.

Matteo Foschi (M)

Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
Department of Neuroscience, S. Maria delle Croci Hospital, AUSL Romagna, Ravenna, Italy.

Lucia Pavolucci (L)

Department of Neuroscience, S. Maria delle Croci Hospital, AUSL Romagna, Ravenna, Italy.

Francesca Rondelli (F)

IRCCS Istituto delle Scienze Neurologiche, Bologna, Italy.

Rita Rinaldi (R)

IRCCS Istituto delle Scienze Neurologiche, Bologna, Italy.

Marianna Nicodemo (M)

IRCCS Istituto delle Scienze Neurologiche, Bologna, Italy.

Roberto D'Angelo (R)

IRCCS Istituto delle Scienze Neurologiche, Bologna, Italy.

Elisabetta Favaretto (E)

Angiology and Blood Coagulation Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Carlotta Brusi (C)

Angiology and Blood Coagulation Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Benilde Cosmi (B)

Angiology and Blood Coagulation Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Daniela Degli Esposti (D)

Department of Cardio-Thoracic Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Sergio D'Addato (S)

Department of Cardio-Thoracic Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Department of Medical and Surgical Sciences, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Stefano Bacchelli (S)

Department of Cardio-Thoracic Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Fabrizio Giostra (F)

Emergency Department, Medicina d'Urgenza e Pronto Soccorso, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Daniela Paola Pomata (DP)

Emergency Department, Medicina d'Urgenza e Pronto Soccorso, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Luca Spinardi (L)

Diagnostic and Interventional Neuroradiology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Luca Faccioli (L)

Diagnostic and Interventional Neuroradiology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Gianluca Faggioli (G)

Department of Vascular Surgery, DIMEC - University of Bologna, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Andrea Donti (A)

Pediatric Cardiology and Adult Congenital Heart Disease Program, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Claudio Borghi (C)

Department of Cardio-Thoracic Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Pietro Cortelli (P)

IRCCS Istituto delle Scienze Neurologiche, Bologna, Italy.
Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.

Maria Guarino (M)

IRCCS Istituto delle Scienze Neurologiche, Bologna, Italy.

Classifications MeSH