Literature DB >> 32339765

Incidence and prognostic factors for recurrence of intracerebral hemorrhage in patients with and without atrial fibrillation: A cohort study.

Thure Filskov Overvad1, Søren Due Andersen2, Torben Bjerregaard Larsen3, Gregory Y H Lip4, Mette Søgaard3, Flemming Skjøth5, Peter Brønnum Nielsen3.   

Abstract

BACKGROUND: Intracerebral hemorrhage is a devastating vascular event. Clinical factors prognostic of recurrence facilitating individualized post-bleeding patient management are sparsely described. We aimed to describe incidence of recurrence of intracerebral hemorrhage and explore the prognostic value of 25 clinical characteristics in patients with and without atrial fibrillation.
METHODS: Cohort study of patients with incident intracerebral hemorrhage diagnosed from 2003 to 2016 identified using nationwide Danish administrative registries. Results reported as cumulative incidence of intracerebral recurrence accounting for competing risk of death. Univariate and multivariate prognostic factors for recurrence estimated using Cox regression (hazard ratios [HRs], 95% confidence intervals [CI]).
RESULTS: We identified 9255 patients with incident intracerebral hemorrhage (median age 73 years, 46.6% females, 16% with atrial fibrillation). Five-year risks of recurrence of intracerebral hemorrhage were approximately 10% in the study population, although slightly higher for patients without atrial fibrillation. Prognostic factors for recurrence were broadly similar for patients with and without atrial fibrillation. Age in categories <60 years (reference), age 60-70 years (HR 1.29, 95% CI 1.02-1.64), age 70-80 years (HR 1.59, 95% CI 1.26-2.00), age >80 years (HR 1.19, 95% CI 0.91-1.55), nursing home residency (HR 1.48, 95% CI 1.02-2.13), and Scandinavian Stroke Scale score ('mild' versus 'moderate' (HR 1.40, 95% CI 1.13-1.72) and 'severe' (HR 1.96, 95% CI 1.61-2.39)) were the strongest prognostic factors.
CONCLUSION: Risk of recurrence of intracerebral hemorrhage after five years was approximately 10%. Clinical characteristics associated with recurrence were few and broadly similar for patients with and without atrial fibrillation, with age and measure of incident bleeding severity, as reflected by Scandinavian Stroke Scale score, being the most important.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; Intracerebral hemorrhage; Prognosis; Recurrence; Risk stratification; Stroke prevention

Mesh:

Substances:

Year:  2020        PMID: 32339765     DOI: 10.1016/j.thromres.2020.03.024

Source DB:  PubMed          Journal:  Thromb Res        ISSN: 0049-3848            Impact factor:   3.944


  5 in total

Review 1.  In Search of the Optimal Antithrombotic Regimen for Intracerebral Hemorrhage Survivors with Atrial Fibrillation.

Authors:  Teng J Peng; Catherine Viscoli; Pooja Khatri; Stacey Q Wolfe; Nirav R Bhatt; Tarun Girotra; Hooman Kamel; Kevin N Sheth
Journal:  Drugs       Date:  2022-06-03       Impact factor: 11.431

2.  The Validity of Intracerebral Hemorrhage Diagnoses in the Danish Patient Registry and the Danish Stroke Registry.

Authors:  Stine Munk Hald; Christine Kring Sloth; Mikkel Agger; Maria Therese Schelde-Olesen; Miriam Højholt; Mette Hasle; Helle Bogetofte; Ida Olesrud; Stefanie Binzer; Charlotte Madsen; Willy Krone; Luis Alberto García Rodríguez; Rustam Al-Shahi Salman; Jesper Hallas; David Gaist
Journal:  Clin Epidemiol       Date:  2020-12-01       Impact factor: 4.790

3.  Atrial Fibrillation in Spontaneous Intracerebral Hemorrhage, Dijon Stroke Registry (2006-2017).

Authors:  Amélie Gabet; Valérie Olié; Yannick Béjot
Journal:  J Am Heart Assoc       Date:  2021-09-01       Impact factor: 5.501

4.  Risk of Cerebrovascular Events in Intracerebral Hemorrhage Survivors With Atrial Fibrillation: A Nationwide Cohort Study.

Authors:  Peter Brønnum Nielsen; Line Melgaard; Thure Filskov Overvad; Martin Jensen; Torben Bjerregaard Larsen; Gregory Y H Lip
Journal:  Stroke       Date:  2022-04-13       Impact factor: 10.170

Review 5.  The Allure of Big Data to Improve Stroke Outcomes: Review of Current Literature.

Authors:  Muideen T Olaiya; Nita Sodhi-Berry; Lachlan L Dalli; Kiran Bam; Amanda G Thrift; Judith M Katzenellenbogen; Lee Nedkoff; Joosup Kim; Monique F Kilkenny
Journal:  Curr Neurol Neurosci Rep       Date:  2022-03-11       Impact factor: 5.081

  5 in total

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