4.5 Article

Long-term cognitive trajectories and heterogeneity in patients with schizophrenia and their unaffected siblings

Journal

ACTA PSYCHIATRICA SCANDINAVICA
Volume 138, Issue 6, Pages 591-604

Publisher

WILEY
DOI: 10.1111/acps.12961

Keywords

schizophrenia; psychosis; cognition; cognitive impairment

Categories

Funding

  1. Graduates School of Medical Science, University Medical Center Groningen, The Netherlands
  2. Geestkracht programme of the Dutch Health Research Council (Zon-Mw) [10-000-1001]
  3. Lundbeck
  4. AstraZeneca
  5. Eli Lilly
  6. Janssen Cilag
  7. Amsterdam: Academic Psychiatric Centre of the Academic Medical Center
  8. GGZ Ingeest
  9. Arkin
  10. Dijk en Duin
  11. GGZ Rivierduinen
  12. Erasmus Medical Centre
  13. GGZ Noord Holland Noord
  14. Groningen: University Medical Center Groningen
  15. GGZ Friesland
  16. GGZ Drenthe
  17. Dimence
  18. Mediant
  19. GGNet Warnsveld
  20. Yulius Dordrecht
  21. Parnassia psycho-medical center The Hague
  22. Maastricht: Maastricht University Medical Centre
  23. GGZ Eindhoven en De Kempen
  24. GGZ Breburg
  25. GGZ Oost-Brabant
  26. Vincent van Gogh voor Geestelijke Gezondheid
  27. Mondriaan
  28. Virenze riagg
  29. Zuyderland GGZ
  30. MET ggz
  31. Universitair Centrum Sint-Jozef Kortenberg
  32. CAPRI University of Antwerp
  33. PC Ziekeren Sint-Truiden
  34. PZ Sancta Maria Sint-Truiden
  35. GGZ Overpelt
  36. OPZ Rekem
  37. Utrecht: University Medical Center Utrecht
  38. Altrecht
  39. GGZ Centraal
  40. Delta
  41. Lentis

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Objective Method This study aimed to assess the heterogeneity and stability of cognition in patients with a non-affective psychotic disorder and their unaffected siblings. In addition, we aimed to predict the cognitive subtypes of siblings by their probands. Assessments were conducted at baseline, 3 and 6 years in 1119 patients, 1059 siblings and 586 controls from the Genetic Risk and Outcome of Psychosis (GROUP) study. Group-based trajectory modeling was applied to identify trajectories and clustered multinomial logistic regression analysis was used for prediction modeling. A composite score of eight neurocognitive tests was used to measure cognitive performance. Results Conclusions Five stable cognitive trajectories ranging from severely altered to high cognitive performance were identified in patients. Likewise, four stable trajectories ranging from moderately altered to high performance were found in siblings. Siblings had a higher risk of cognitive alteration when patients' alteration was mild (OR = 2.21), moderate (OR = 5.70), and severe (OR = 10.07) compared with patients with intact cognitive function. The familial correlation coefficient between pairs of index patients and their siblings was 0.27 (P = 0.003). The cognitive profiles identified in the current study might be suitable as endophenotypes and could be used in future genetic studies and predicting functional and clinical outcomes.

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