Literature DB >> 31008289

Cryptogenic mechanism in ischaemic stroke patients is a predictor of 5-year survival: A population-based study.

S Timsit1, P Bailly1, E Nowak2, F M Merrien1, D Hervé2, I Viakhireva-Dovganyuk1, A Jourdain1, E Thomas1, P Goas1, F Rouhart1.   

Abstract

INTRODUCTION: The present study sought to identify factors affecting mortality beyond 28 days in ischaemic stroke patients with whatever ischaemic mechanism. PATIENTS AND METHODS: A prospective population-based registry was set up in Brest County, Brittany, France. Demographic data, clinical presentation, vascular risk factors and mortality were collected from January 2008 to December 2012. At "home without help" was used as a surrogate marker for low Rankin (0-1) at discharge from the hospital. IS was classified on the TOAST classification. Overall mortality was calculated using the Kaplan-Meier method. Multivariate analysis of mortality beyond 28 days was implemented, using a Cox model, on significant risk factors identified on univariate analysis.
RESULTS: About 3024 IS cases were followed up beyond 28 days. Overall mortality beyond 28 days was 38.49% at 60 months. On multivariate analysis, age (10 years: HR = 1.84; [1.66-2.02]), coronary artery disease (HR = 1.28; [1.05-1.56]), cardiac arrhythmia (HR = 1.36; [1.11-1.67]), peripheral artery disease (HR = 1.66 [1.29-2.13]) and incomplete assessment (HR = 1.39; [1.12-1.74]) were associated with higher mortality risk, whereas female gender (HR = 0.80; [0.68-0.94]), high Glasgow Coma Scale score (GCS > 12) (HR = 0.58; [0.45-0.76]), lacunar syndrome (HR = 0.82; [0.68-0.99], being 'at home without help' (HR = 0.50; [0.41-0.59]) and negative assessment (HR = 0.75; [0.58-0.97], compared to cardioembolism) were associated with better survival probability. DISCUSSION: Initial clinical status, prior cardiovascular diseases and age was associated with more risk of death: an increment of 10 years almost doubled mortality. Women had more survival probability than men, controlling for age. Ischaemic stroke mechanisms were predictors of late 5-year mortality.
CONCLUSION: Patients with negative assessment, i.e. representing truly cryptogenic ischaemic stroke, had the best survival probability probably due to fewer atherosclerotic markers.

Entities:  

Keywords:  Cryptogenic infarction; prognosis; registry

Year:  2016        PMID: 31008289      PMCID: PMC6301247          DOI: 10.1177/2396987316669216

Source DB:  PubMed          Journal:  Eur Stroke J        ISSN: 2396-9873


  31 in total

1.  Are lacunar strokes really different? A systematic review of differences in risk factor profiles between lacunar and nonlacunar infarcts.

Authors:  Caroline Jackson; Cathie Sudlow
Journal:  Stroke       Date:  2005-03-10       Impact factor: 7.914

2.  Long-term survival and vascular event risk after transient ischaemic attack or minor ischaemic stroke: a cohort study.

Authors:  I van Wijk; L J Kappelle; J van Gijn; P J Koudstaal; C L Franke; M Vermeulen; J W Gorter; A Algra
Journal:  Lancet       Date:  2005 Jun 18-24       Impact factor: 79.321

3.  Stroke in the very old : clinical presentation and determinants of 3-month functional outcome: A European perspective. European BIOMED Study of Stroke Care Group.

Authors:  A Di Carlo; M Lamassa; G Pracucci; A M Basile; G Trefoloni; P Vanni; C D Wolfe; K Tilling; S Ebrahim; D Inzitari
Journal:  Stroke       Date:  1999-11       Impact factor: 7.914

4.  Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study.

Authors:  A S Go; E M Hylek; K A Phillips; Y Chang; L E Henault; J V Selby; D E Singer
Journal:  JAMA       Date:  2001-05-09       Impact factor: 56.272

5.  [Contribution of the Dijon Stroke Registry after 20 years of data collection].

Authors:  Y Bejot; O Rouaud; I Benatru; A Fromont; G Couvreur; M Caillier; A Gentil; G V Osseby; M Lemesle; P Decavel; E Medeiros; Th Moreau; M Giroud
Journal:  Rev Neurol (Paris)       Date:  2008-02-05       Impact factor: 2.607

6.  Cause-specific mortality after first cerebral infarction: a population-based study.

Authors:  Steven Vernino; Robert D Brown; James J Sejvar; JoRean D Sicks; George W Petty; W Michael O'Fallon
Journal:  Stroke       Date:  2003-07-10       Impact factor: 7.914

7.  A computerized algorithm for etiologic classification of ischemic stroke: the Causative Classification of Stroke System.

Authors:  Hakan Ay; Thomas Benner; E Murat Arsava; Karen L Furie; Aneesh B Singhal; Matt B Jensen; Cenk Ayata; Amytis Towfighi; Eric E Smith; Ji Y Chong; Walter J Koroshetz; A Gregory Sorensen
Journal:  Stroke       Date:  2007-09-27       Impact factor: 7.914

8.  Differences in vascular risk factors between etiological subtypes of ischemic stroke: importance of population-based studies.

Authors:  U G R Schulz; P M Rothwell
Journal:  Stroke       Date:  2003-06-26       Impact factor: 7.914

9.  Predictive variables for mortality after acute ischemic stroke.

Authors:  Angela M Carter; Andrew J Catto; Michael W Mansfield; John M Bamford; Peter J Grant
Journal:  Stroke       Date:  2007-04-19       Impact factor: 7.914

10.  Mortality and causes of death after first ischemic stroke: the Northern Manhattan Stroke Study.

Authors:  A Hartmann; T Rundek; H Mast; M C Paik; B Boden-Albala; J P Mohr; R L Sacco
Journal:  Neurology       Date:  2001-12-11       Impact factor: 9.910

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  1 in total

1.  Impact of interankle blood pressure difference on major adverse cardiovascular events in cryptogenic stroke patients without peripheral artery disease: a retrospective cohort study.

Authors:  Minho Han; Minyoul Baik; Young Dae Kim; Junghye Choi; Kangsik Seo; Eunjeong Park; Ji Hoe Heo; Hyo Suk Nam
Journal:  BMJ Open       Date:  2022-02-23       Impact factor: 2.692

  1 in total

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