Literature DB >> 10449116

Comparison of population-based models of risk factors for TIA and ischemic stroke.

J P Whisnant1, R D Brown, G W Petty, W M O'Fallon, J D Sicks, D O Wiebers.   

Abstract

OBJECTIVE: To determine whether there is a difference in the risk factors for ischemic stroke and for TIA.
BACKGROUND: TIA is associated with a high risk for ischemic stroke, but some have considered TIA as mild ischemic stroke. Prevention of disabling stroke is sufficient reason to label TIA as a precursor for stroke, but some risk factors may be more or less associated with TIA than with ischemic stroke, suggesting differences in mechanism.
METHODS: The medical records linkage system for the Rochester Epidemiology Project provided the means of identifying first episodes of TIA in the Rochester, MN population among those who had not had ischemic stroke. Control subjects were selected from an enumeration of the population through the medical records. The exposure to various risk factors was ascertained. The conditional likelihood approach to estimate the parameters of a multiple logistic model permitted estimation of the OR for TIA for each risk factor while adjusting for confounding variables.
RESULTS: The multivariable logistic regression model for TIA shows that the estimates of the ORs for ischemic heart disease, hypertension, persistent atrial fibrillation, diabetes mellitus, and cigarette smoking are similar to the ORs for those variables in the ischemic stroke model. However, the OR for mitral valve disease in the TIA model is 0.4, suggesting that mitral valve disease is unlikely to be associated with cerebral ischemic episodes that are brief enough to be called TIA.

Entities:  

Mesh:

Year:  1999        PMID: 10449116     DOI: 10.1212/wnl.53.3.532

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  8 in total

1.  [Symptoms, risk factors, and etiology of transient ischemic attack and stroke].

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Review 2.  Evolving concepts regarding transient ischemic attacks.

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Authors:  Raymond C S Seet; Alejandro A Rabinstein; Teresa J H Christianson; George W Petty; Robert D Brown
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4.  Validation and refinement of the ABCD2 score: a population-based analysis.

Authors:  Amy Fothergill; Teresa J H Christianson; Robert D Brown; Alejandro A Rabinstein
Journal:  Stroke       Date:  2009-06-11       Impact factor: 7.914

5.  Joint effects of risk factors for stroke and transient ischemic attack in a German population: the EPIC Potsdam Study.

Authors:  Cornelia Weikert; Klaus Berger; Christin Heidemann; Manuela M Bergmann; Kurt Hoffmann; Kerstin Klipstein-Grobusch; Heiner Boeing
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6.  Relation of glycated hemoglobin with carotid atherosclerosis in ischemic stroke patients: An observational study in Indian population.

Authors:  Amit Shankar Singh; Virendra Atam; Shyam Chand Chaudhary; Kamal Kumar Sawlani; Munna Lal Patel; Sameer Saraf; Besthenahalli Erappa Yathish; Liza Das
Journal:  Ann Indian Acad Neurol       Date:  2013-04       Impact factor: 1.383

7.  Association between atrial fibrillation, atrial enlargement, and left ventricular geometric remodeling.

Authors:  Yuta Seko; Takao Kato; Tetsuya Haruna; Toshiaki Izumi; Shoichi Miyamoto; Eisaku Nakane; Moriaki Inoko
Journal:  Sci Rep       Date:  2018-04-23       Impact factor: 4.379

8.  What is next after transfer of care from hospital to home for stroke patients? Evaluation of a community stroke care service based in a primary care clinic.

Authors:  Aznida Firzah Abdul Aziz; Noor Azah Abd Aziz; Nor Azlin Mohd Nordin; Mohd Fairuz Ali; Saperi Sulong; Syed Mohamed Aljunid
Journal:  J Neurosci Rural Pract       Date:  2013-10
  8 in total

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