4.7 Article

Pathogenic Ischemic Stroke Phenotypes in the NINDS-Stroke Genetics Network

Journal

STROKE
Volume 45, Issue 12, Pages 3589-+

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/STROKEAHA.114.007362

Keywords

classification; pathogenesis; phenotype

Funding

  1. Austrian Science Fund (FWF) [I 904] Funding Source: researchfish
  2. Austrian Science Fund FWF [I 904] Funding Source: Medline
  3. Intramural NIH HHS [Z01 AG000954, Z01 AG000015] Funding Source: Medline
  4. NCI NIH HHS [U01 CA049449, P01 CA087969, R01 CA049449] Funding Source: Medline
  5. NCRR NIH HHS [U54 RR020278] Funding Source: Medline
  6. NHGRI NIH HHS [U01 HG004436, HHSN268200782096C, U01 HG004446] Funding Source: Medline
  7. NHLBI NIH HHS [R01 HL034594, R01 HL088521] Funding Source: Medline
  8. NIDDK NIH HHS [P30 DK072488] Funding Source: Medline
  9. NINDS NIH HHS [R37 NS029993, R01 NS085419, R01 NS030678, U01 NS038529, U01 NS041588, R01 NS059727, R01 NS039987, U01 NS069208, K23 NS042720, P50 NS055977, R01 NS073346, K23 NS042695, R01 NS042733, R01 NS042618, R01 NS045012] Funding Source: Medline
  10. The Dunhill Medical Trust [OSRP2/1006] Funding Source: Medline
  11. Wellcome Trust [084724, 095626] Funding Source: Medline
  12. WHI NIH HHS [N01WH22110] Funding Source: Medline

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Background and Purpose-NINDS (National Institute of Neurological Disorders and Stroke)-SiGN (Stroke Genetics Network) is an international consortium of ischemic stroke studies that aims to generate high-quality phenotype data to identify the genetic basis of pathogenic stroke subtypes. This analysis characterizes the etiopathogenetic basis of ischemic stroke and reliability of stroke classification in the consortium. Methods-Fifty-two trained and certified adjudicators determined both phenotypic (abnormal test findings categorized in major pathogenic groups without weighting toward the most likely cause) and causative ischemic stroke subtypes in 16 954 subjects with imaging-confirmed ischemic stroke from 12 US studies and 11 studies from 8 European countries using the web-based Causative Classification of Stroke System. Classification reliability was assessed with blinded readjudication of 1509 randomly selected cases. Results-The distribution of pathogenic categories varied by study, age, sex, and race (P<0.001 for each). Overall, only 40% to 54% of cases with a given major ischemic stroke pathogenesis (phenotypic subtype) were classified into the same final causative category with high confidence. There was good agreement for both causative (kappa 0.72; 95% confidence interval, 0.69-0.75) and phenotypic classifications (kappa 0.73; 95% confidence interval, 0.70-0.75). Conclusions-This study demonstrates that pathogenic subtypes can be determined with good reliability in studies that include investigators with different expertise and background, institutions with different stroke evaluation protocols and geographic location, and patient populations with different epidemiological characteristics. The discordance between phenotypic and causative stroke subtypes highlights the fact that the presence of an abnormality in a patient with stroke does not necessarily mean that it is the cause of stroke.

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