Literature DB >> 8994936

A hospital-based and a population-based stroke registry yield different results: the experience in Dijon, France.

M Giroud1, M Lemesle, C Quantin, M Vourch, F Becker, C Milan, P Brunet-Lecomte, R Dumas.   

Abstract

BACKGROUND AND
PURPOSE: The aim of this study was to demonstrate the different results obtained from a population-based and a hospital-based stroke study in the same city.
METHODS: Between January 1 and December 31, 1993, we collected information on all of the first strokes in the population of the city of Dijon, in conjunction with the Dijon Stroke Registry, collecting the first-ever strokes from patients living in Dijon as well as on all the first strokes in residents and nonresidents of Dijon who were treated at Dijon University Hospital. Demographic details, medical history, vascular risk factors, stroke subtype, as diagnosed by CT scan, and mortality rates were compared between the strokes observed in the population of the city of Dijon among residents as well as nonresidents in Dijon who were treated at Dijon University Hospital.
RESULTS: We collected information on 210 strokes observed in the population of Dijon city, 171 Dijon residents and 395 non-Dijon city residents hospitalized at the University Hospital of Dijon. These three groups were quite different. The residents of Dijon treated for stroke at the University Hospital were younger and their incidence of cerebral hemorrhage, cardiac arrhythmia, ischemic heart disease and case fatality rate were higher than those from the Dijon Stroke Registry.
CONCLUSIONS: Type of stroke data bank is very important in order to describe cerebrovascular disease. Hospital-based studies tend to include more severe strokes, those occurring in a younger population, and those having a higher mortality. Population-based studies, on the other hand, give a somewhat different picture of stroke.

Entities:  

Mesh:

Year:  1997        PMID: 8994936     DOI: 10.1159/000109666

Source DB:  PubMed          Journal:  Neuroepidemiology        ISSN: 0251-5350            Impact factor:   3.282


  7 in total

1.  Risk factors for and incidence of subtypes of ischemic stroke.

Authors:  Hege Ihle-Hansen; Bente Thommessen; Torgeir Bruun Wyller; Knut Engedal; Brynjar Fure
Journal:  Funct Neurol       Date:  2012 Jan-Mar

2.  Study Protocol: Validation and Adaptation of community-worker-administered stroke symptom questionnaire in a periurban Pakistani community to determine disease burden.

Authors:  Maria Khan; Ayeesha Kamran Kamal; Omrana Pasha; Muhammad Islam; Iqbal Azam; Azam Virk; Alia Nasir; Anita Andani; Muhammad Jan; Anjum Akhtar; Junaid Abdul Razzak
Journal:  J Vasc Interv Neurol       Date:  2015-02

3.  A retrospective analysis of 254 acute stroke cases admitted to two university hospitals in Beirut: classification and associated factors.

Authors:  N Lahoud; Marie-Helene Abbas; Pascale Salameh; N Saleh; Samer Abes; Hassan Hosseini; Souheil Gebeily
Journal:  Funct Neurol       Date:  2017 Jan/Mar

4.  Intra-cerebral haemorrhages: are there any differences in baseline characteristics and intra-hospital mortality between hospitaland population-based registries?

Authors:  Charlotte Cordonnier; Matthieu P Rutgers; Frédéric Dumont; Marta Pasquini; Jean-Paul Lejeune; Delphine Garrigue; Yannick Béjot; Xavier Leclerc; Maurice Giroud; Didier Leys; Hilde Hénon
Journal:  J Neurol       Date:  2009-03-06       Impact factor: 4.849

5.  Prevalence of stroke in three semi-urban communities in middle-belt region of Nigeria: a door to door survey.

Authors:  Emmanuel Olatunde Sanya; Olufemi Olumuyiwa Desalu; Feyiyemi Adepoju; Sunday Adedeji Aderibigbe; Akeem Shittu; Olabode Olaosebikan
Journal:  Pan Afr Med J       Date:  2015-01-13

6.  Development and validation of clinical prediction models for mortality, functional outcome and cognitive impairment after stroke: a study protocol.

Authors:  Marion Fahey; Anthony Rudd; Yannick Béjot; Charles Wolfe; Abdel Douiri
Journal:  BMJ Open       Date:  2017-08-18       Impact factor: 2.692

Review 7.  Accuracy of Electronic Health Record Data for Identifying Stroke Cases in Large-Scale Epidemiological Studies: A Systematic Review from the UK Biobank Stroke Outcomes Group.

Authors:  Rebecca Woodfield; Ian Grant; Cathie L M Sudlow
Journal:  PLoS One       Date:  2015-10-23       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.