Literature DB >> 24165287

Methodology of a population-based stroke and TIA incidence and outcomes study: the Auckland Regional Community Stroke Study (ARCOS IV) 2011-2012.

Rita Krishnamurthi1, Amy Jones, P Alan Barber, Suzanne Barker-Collo, Kathryn McPherson, Derrick Bennett, Elaine Rush, Flora Suh, Nicola Starkey, Alice Theadom, Varsha Parag, Yogini Rathnasabapathy, Valery L Feigin.   

Abstract

BACKGROUND: Stroke is a leading cause of death and disability worldwide. Stroke burden is immense as it leads to premature deaths, leaves survivors with ongoing disabilities, and has a major financial impact on the individual, their families, and the community. Reliable, high-quality evidence is needed on stroke risk factors, incidence, and outcomes to provide information on how best to reduce this burden. Population-based studies are regarded as the 'gold-standard' of measuring disease burden but are not common due to the logistical and financial challenges they present. The Auckland Regional Community Stroke Studies are among a few in the world that have been carried out at a population level and at regular intervals. AIM: The aim of the fourth Auckland Regional Community Stroke Studies IV is to examine the current measures of stroke incidence, prevalence, and outcomes as well the trends over four decades. This article describes the methodology of the Auckland Regional Community Stroke Studies IV with stroke and transient ischemic attacks cases registered over a 12-month period from March 1, 2011 to February 29, 2012.
CONCLUSIONS: The methodology described may be used as a guide in order to design similar population-based stroke incidence and outcome studies in other countries and populations, thus facilitating the collection of most consistent and accurate stroke epidemiological data.
© 2013 The Authors. International Journal of Stroke © 2013 World Stroke Organization.

Entities:  

Keywords:  TIA; incidence; mortality; outcomes; population-based; stroke

Mesh:

Year:  2013        PMID: 24165287     DOI: 10.1111/ijs.12108

Source DB:  PubMed          Journal:  Int J Stroke        ISSN: 1747-4930            Impact factor:   5.266


  2 in total

1.  30-Year Trends in Stroke Rates and Outcome in Auckland, New Zealand (1981-2012): A Multi-Ethnic Population-Based Series of Studies.

Authors:  Valery L Feigin; Rita V Krishnamurthi; Suzanne Barker-Collo; Kathryn M McPherson; P Alan Barber; Varsha Parag; Bruce Arroll; Derrick A Bennett; Martin Tobias; Amy Jones; Emma Witt; Paul Brown; Max Abbott; Rohit Bhattacharjee; Elaine Rush; Flora Minsun Suh; Alice Theadom; Yogini Rathnasabapathy; Braden Te Ao; Priya G Parmar; Craig Anderson; Ruth Bonita
Journal:  PLoS One       Date:  2015-08-20       Impact factor: 3.240

2.  The Stroke Riskometer(TM) App: validation of a data collection tool and stroke risk predictor.

Authors:  Priya Parmar; Rita Krishnamurthi; M Arfan Ikram; Albert Hofman; Saira S Mirza; Yury Varakin; Michael Kravchenko; Michael Piradov; Amanda G Thrift; Bo Norrving; Wenzhi Wang; Dipes Kumar Mandal; Suzanne Barker-Collo; Ramesh Sahathevan; Stephen Davis; Gustavo Saposnik; Miia Kivipelto; Shireen Sindi; Natan M Bornstein; Maurice Giroud; Yannick Béjot; Michael Brainin; Richie Poulton; K M Venkat Narayan; Manuel Correia; António Freire; Yoshihiro Kokubo; David Wiebers; George Mensah; Nasser F BinDhim; P Alan Barber; Jeyaraj Durai Pandian; Graeme J Hankey; Man Mohan Mehndiratta; Shobhana Azhagammal; Norlinah Mohd Ibrahim; Max Abbott; Elaine Rush; Patria Hume; Tasleem Hussein; Rohit Bhattacharjee; Mitali Purohit; Valery L Feigin
Journal:  Int J Stroke       Date:  2014-12-10       Impact factor: 5.266

  2 in total

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