Literature DB >> 9756587

Incidence and determinants of poststroke dementia as defined by an informant interview method in a hospital-based stroke registry.

D Inzitari1, A Di Carlo, G Pracucci, M Lamassa, P Vanni, M Romanelli, S Spolveri, P Adriani, I Meucci, G Landini, A Ghetti.   

Abstract

BACKGROUND AND
PURPOSE: Inconsistent information about incidence and determinants of poststroke dementia might be related to patient attrition, partly because of nonapplicability of formal neuropsychological testing to a large proportion of patients registered in a definite setting.
METHODS: Using a proxy-informant interview based on ICD-10 criteria, we determined dementia at stroke onset and 1 year after stroke in the 339 patients who survived, were available for follow-up, and were not demented at stroke onset of 635 patients entered over a 1-year period in a stroke registry taken at 2 community hospitals in Florence, Italy.
RESULTS: Of the 339 patients, 57 (16.8%) proved to have poststroke dementia. These patients were older, more frequently female, and more often (multivariate odds ratio, 2.35; 95% CI, 1.21 to 4.58) had atrial fibrillation than those without dementia. Aphasia and the clinical features expressing the severity of the stroke event in the acute phase predicted poststroke dementia.
CONCLUSIONS: In a hospital-based nonselected series of stroke survivors, despite the use of a method with low sensitivity for defining dementia, our study confirms that dementia is a frequent sequela of stroke and is mainly predicted by stroke severity. Certain determinants could be controlled in the prestroke phase, thus reducing its risk.

Entities:  

Mesh:

Year:  1998        PMID: 9756587     DOI: 10.1161/01.str.29.10.2087

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  19 in total

1.  Diagnosis, risk factors, and treatment of vascular dementia.

Authors:  Oscar L Lopez; Lewis H Kuller; James T Becker
Journal:  Curr Neurol Neurosci Rep       Date:  2004-09       Impact factor: 5.081

2.  Changes in memory before and after stroke differ by age and sex, but not by race.

Authors:  Qianyi Wang; Iván Mejía-Guevara; Pamela M Rist; Stefan Walter; Benjamin D Capistrant; M Maria Glymour
Journal:  Cerebrovasc Dis       Date:  2014-03-25       Impact factor: 2.762

Review 3.  Vascular aspects of cognitive impairment and dementia.

Authors:  Maximilian Wiesmann; Amanda J Kiliaan; Jurgen A H R Claassen
Journal:  J Cereb Blood Flow Metab       Date:  2013-09-11       Impact factor: 6.200

Review 4.  Cognitive impairment associated with atrial fibrillation: a meta-analysis.

Authors:  Shadi Kalantarian; Theodore A Stern; Moussa Mansour; Jeremy N Ruskin
Journal:  Ann Intern Med       Date:  2013-03-05       Impact factor: 25.391

Review 5.  Poststroke dementia in the elderly.

Authors:  Marie-Anne Mackowiak-Cordoliani; Stéphanie Bombois; Armelle Memin; Hilde Hénon; Florence Pasquier
Journal:  Drugs Aging       Date:  2005       Impact factor: 3.923

6.  Impact of gender and blood pressure on poststroke cognitive decline among older Latinos.

Authors:  Deborah A Levine; Mary N Haan; Kenneth M Langa; Lewis B Morgenstern; John Neuhaus; Anne Lee; Lynda D Lisabeth
Journal:  J Stroke Cerebrovasc Dis       Date:  2012-06-27       Impact factor: 2.136

7.  Atrial fibrillation and cognitive decline-the role of subclinical cerebral infarcts: the atherosclerosis risk in communities study.

Authors:  Lin Y Chen; Faye L Lopez; Rebecca F Gottesman; Rachel R Huxley; Sunil K Agarwal; Laura Loehr; Thomas Mosley; Alvaro Alonso
Journal:  Stroke       Date:  2014-07-22       Impact factor: 7.914

Review 8.  Stroke-related dementia.

Authors:  José G Merino; Vladimir Hachinski
Journal:  Curr Atheroscler Rep       Date:  2002-07       Impact factor: 5.113

9.  Methodological Factors in Determining Risk of Dementia After Transient Ischemic Attack and Stroke: (II) Effect of Attrition on Follow-Up.

Authors:  Sarah T Pendlebury; Ping-Jen Chen; Sarah J V Welch; Fiona C Cuthbertson; Rose M Wharton; Ziyah Mehta; Peter M Rothwell
Journal:  Stroke       Date:  2015-05-07       Impact factor: 7.914

10.  Predicting recovery of cognitive function soon after stroke: differential modeling of logarithmic and linear regression.

Authors:  Makoto Suzuki; Yuko Sugimura; Sumio Yamada; Yoshitsugu Omori; Masaaki Miyamoto; Jun-ichi Yamamoto
Journal:  PLoS One       Date:  2013-01-11       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.