Cognitive Trajectories in Schizophrenia Chair: Philip D. Harvey, PhD - - PowerPoint PPT Presentation

cognitive trajectories in schizophrenia
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Cognitive Trajectories in Schizophrenia Chair: Philip D. Harvey, PhD - - PowerPoint PPT Presentation

Cognitive Trajectories in Schizophrenia Chair: Philip D. Harvey, PhD Acting Co-Chair: Kiri Granger, PhD 16 th October 2018 Cognitive Trajectories in Schizophrenia The focus of this workshop is on baseline cognitive and subsequent treatment


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Cognitive Trajectories in Schizophrenia

Chair: Philip D. Harvey, PhD Acting Co-Chair: Kiri Granger, PhD

16th October 2018

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Cognitive Trajectories in Schizophrenia

  • The focus of this workshop is on baseline

cognitive and subsequent treatment response in schizophrenia

  • The trajectory is a post treatment trajectory,
  • f response or failure to respond
  • We want to thank Michael Sand for proposing

this working group and hope to see him at the next meeting

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Baseline Impairment and Cognition Treatment Trials

  • Buchanan et al. 2005:

Question 7: MINIMUM LEVEL OF IMPAIRMENT.

In order to detect a therapeutic effect, should a minimum level of cognitive impairment be specified in the inclusion criteria?

  • Answer to Question 7: MINIMUM LEVEL OF IMPAIRMENT.

There is insufficient evidence to exclude patients who perform well, but not at or near ceiling.

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What was the typical Level of Cognitive Impairment Seen?

  • 5

5 10 15 20 25 30 <50-50 51-60 61-70 71-80 81-90 91-100 101-110 111-120 121-130 131-140 140+ Schizophrenia (n=575) Normal controls (n=540)

r-BANS scores in HC and SCZ patients Wilk CM, et al. Schizophr Res. 2004;70(2- 3):175-186. Mean score=70.

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What is the level of impairment seen in SCZ patients in MATRICS-Informed Clinical Trials?

  • Georgiades et al., 2017
  • 2616 stable outpatients
  • 15 clinical trials
  • Tested with the MCCB
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SLIDE 6

Performance by MCCB Domain

5 10 15 20 25 30 35 40 45 Proc Speed WM Attn Verb L Vis L Reason Comp AVG

t-Score

t-Score

  • Note. Mean= 50, SD= 10, 30 is equivalent to IQ-based score of 70.

AVG= Mean of Subscales, Comp is normed composite

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How Many Cases Not impaired

  • Assuming a 1.0 SD criterion for impairment

and a normal distribution (presented as t- Scores)

– Mean of 30 17% unimpaired – Mean of 35 27% unimpaired

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How Clinically Meaningful is a cut-off of 40?

  • Examined 554 clinically stable outpatients

with the MCCB and informant ratings of everyday functioning

– Social – Vocational – Everyday Activities

  • Divided sample into patients with t scores of

41 or more (“neuropsychologically normal”; n=187) and scores of 40 or less, n=367

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Pearson Correlations between Everyday Functioning and NP Performance

0.1 0.2 0.3 0.4 0.5 0.6 Social Vocational Activities Total Sample NP Normal

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What’s the challenge?

  • Patients with schizophrenia show substantial variability in cognitive performance
  • CIAS trials screen out the severely impaired but not the unimpaired
  • Up to a quarter can perform within a clinically normal range which may:
  • Inflate baseline scores
  • Minimise change to detect positive drug effect

Investigation by post-hoc analysis of a multi-national Phase II CIAS trial: Aim: Explore participant-level trajectories of cognitive performance to examine degree and range of scores Participants: 463 patients who met DSM-5 diagnosis for schizophrenia, clinically stable (non-acute), no more than moderate severity ratings on PANSS Study Design: 12 weeks; CANTAB and MCCB assessed at screening, baseline, week 6, week 12 Analysis: Participant data were pooled across treatment and placebo groups from screening to week

  • 12. Analysis involved exploring trajectories of cognitive performance to determine whether

performance stability over time was associated with screening/baseline scores

Post-hoc analysis of Phase II CIAS Trial

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25% of patients were not ‘clinically’ impaired

Those performing within a clinically normal range

  • n MCCB were also

those performing within the normal range on CANTAB PAL (top 25%, <10 errors)

  • Approx. 25% of

patients enrolled performed within a normative range (t score > 35-40)

Granger et al., 2018

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SLIDE 12

Those performing within a clinically normal range

  • n MCCB were also

those performing within the normal range on CANTAB PAL (top 25%, <10 errors)

Granger et al., 2018

This result was found across both MCCB and CANTAB tests

  • Approx. 25% of

patients enrolled performed within a normative range (t score > 35-40)

25% of patients were not ‘clinically’ impaired

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Poorer performers improved over the course of the trial

Granger et al., Presented at International Society for CNS Clinical Trials and Methodology (ISCTM), 2018

CANTAB PAL scores for individual participants plotted over time, colour coded by their score at

  • screening. Lower scores indicate better performance. Orange lines: individuals who scored <10

errors at screening; blue lines: individuals who scored >10 errors at screening.

  • Poorer performers (bottom 75%): Improvement over visits
  • Top performers (top 25%): No change in performance over visits
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  • High cognitive performers at screening and baseline may be less

likely to demonstrate cognitive change over the course of a trial

Patient selection or stratification?

1) Stratification at screening: high and low cognitive performers in each treatment arm to identify responders? 2) Pre-screen for cognitive impairment: define inclusion criteria to establish cognitive performance at screening/baseline?

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What about regression to the mean and practice effects?

  • Retest performance tends to change toward

the mean

  • Higher scorers would be expected to perform

lower with no treatment

  • Practice effects may offset this
  • Practice effects may be higher in better

performers

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SLIDE 16

Placebo/Practice effects

  • Keefe et al., 2017
  • 813 SCZ patients receiving placebo in MCCB

trials

  • Retest effect: 0.73 t-score points per

reassessment

  • Prescreening changes=Post baseline changes
  • Predictors of Practice effects:

– More Motivation – Greater depression

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SLIDE 17

What are the issues?

  • Are patients entering enhancement trials

more likely than the overall population of have NP normality?

  • Is this effect large enough to be concerned

about?

  • Does this reduce the chances of

improvement?

  • Would we bias the data if we had an entry

criteria?