Age, sex, and setting in the etiology of stroke study (ASSESS): Study design and protocol

Mahmoud Reza Azarpazhooh, Jennifer L. Mandzia, Amanda G. Thrift, Luciano A. Sposato, Negar Morovatdar, Amin Amiri, Moira K. Kapral, Nawaf Yassi, Cecilia Bahit, Subhash Kaul, Suvarna Alladi, Yongchai Nilanont, Mariano Coppola, Antonia Nucera, Brian Silver, David Werring, Robert Simister, Richard H. Swartz, Mayowa O. Owolabi, Bruce OvbiageleVladimir Hachinski, on behalf of ASSESS investigators

Research output: Contribution to journalArticleOtherpeer-review

2 Citations (Scopus)

Abstract

Rationale: Stroke etiology and risk factors vary by age, sex, setting (hospital or community-based) and by region. Identifying these differences would improve our understanding of stroke etiology, diagnosis, and treatment. Aim: The Age, Sex and Setting in the Etiology of Stroke Study (ASSESS) is a multicenter cohort study to assess differences in stroke etiology. Methods and design: Data from all centers will be categorized according to age, sex, setting, stroke subtypes. Centers with extensive hospital- or community-based data regarding stroke from Argentina, Australia, Canada, India, Iran, Italy, Ghana, Nigeria, Thailand, the United Kingdom and the United States have agreed to participate so far. Study outcomes: The primary outcome includes differences in stroke etiology in study centers. The secondary outcomes include stroke incidence, risk factors, preventive strategies, and short- and long-term outcomes. Conclusion: ASSESS will enable comparisons of data from different regions to determine the age and sex distribution of the most common causes of stroke in each setting. This will help clinicians to tailor the assessment and treatment of stroke patients on the basis of their specific local characteristics. It will also empower stroke epidemiologists to design preventive measures by targeting the specific characteristics of each population.

Original languageEnglish
Pages (from-to)209-213
Number of pages5
JournalJournal of the Neurological Sciences
Volume399
DOIs
Publication statusPublished - 15 Apr 2019

Keywords

  • Age
  • Community-based studies
  • Etiology
  • Hospital-based studies
  • Pool data analysis
  • Risk factors
  • Stroke
  • Stroke subtypes

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