Clinical Professor Peter K Panegyres MD PhD FRACP PREDICT-HD Neurosciences Unit.
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Transcript of Clinical Professor Peter K Panegyres MD PhD FRACP PREDICT-HD Neurosciences Unit.
Neurological Predictors of
Huntington’s Disease
Clinical Professor Peter K PanegyresMD PhD FRACP
PREDICT-HD
Neurosciences Unit
PREDICT-HD Study
Intervention model for HD
Document natural history of premanifest HD
Development of Markers
ClinicalImaging
Outcome measuresPreventativeClinical Trials
PREDICT-HD: Objectives
32 sites
International
Observational
Premanifest HD
Annual examination
2001-2014
PREDICT-HD N=1013 participants
(premanifest)
N=301 negative control
> 35 CAG expansion repeats = cases
< 36 gene mutation negative = controls
Median duration in study = 6 years (range 1-10)
75% sample > 3 years data
15% - 2 years
<10% - 1 year
N=204 gene expanded participants received a motor diagnosis = converters
Dropout < 5% per year
PREDICT-HD
CAG-AGE product [CAP] score =CAPE = [age at entry] x [CAG -33.66]
Estimate proximity to HD diagnosis
CAPE can be used to estimate 5 year probability of motor diagnosis
CAPE < 290 [low] 12.78 years
290 CAPE 368 [medium] 7.59-12.78 yrs
> 368 [high] < 7.59 years
Premanifest Staging Group
Change over time – controlling for covariates of age, gender, depressed mood, brain scanner field strength
Comparison of premanifest and control LMER (linear mixed effects regression)
39 variables analysed separately
Graphical analysis to represent phenotypic characteristics of HD:
Motor, cognitive, psychiatric+
Biological (imaging)+
Functional outcomes
PREDICT-HD : Statistics
Variables with largest effect sizes
◦ Regional brain volumes
◦ TMS [UHDRS], esp bradykinesia and chorea
◦ Decline in cognitive performance in every measrue examined, esp symbol digits modalities test
◦ Functional variables, every measure esp TFC
◦ Psychiatric variables, esp Obsessive compulsive scale Frontal systems behavioural scale
executive and apathy scales
PREDICT-HD : Results
PREDICT-HD : Results
Six variables significant acceleration of the slope of participants who converted:
Dystonia
Stroop
FAS
SDMT
TFC
TMS
PREDICT-HD : Results
Estimated effect size for a two-arm Phase II randomised control trial
Effect size 20%◦ Required sample for say TMS = 981
Dropout rate 20%◦ Sample required TMS = 1131
CSF space◦ 20% effect = 332◦ 20% dropout = 386
PREDICT-HD : Results
PREDICT-HD
Plots of key outcome variables for preventative clinical trials
PREDICT-HDData derived model for disease progression
Longitudinal change in 36 of 39 measures over 10 years of natural observation study
Effect sizes suggest a preventative RCT could be designed to detect treatment effects of 30%
Significant measures◦ Clinical phenotype HD – motor, cognitive, psychiatric◦ Biological◦ Functional
Specific measure a disease state chosen
The effects of ageing
Real natural history data
PREDICT-HD : Conclusions
1300 gene mutation tested individuals followed prospectively through actual motor diagnosis
Phenotypic and biological changes decade prior to, and just after, manifestations of disease
Biological progression in premanifest HD is◦ Linear for imaging, cognitive and psychiatric◦ Non-linear for motor and functional
Motor expression accelerates as the disease manifests over 15 years prior to motor onset
Worldwide collaboration
Relevant to clinical trials
PREDICT-HD : Conclusions
Collection of CSF to analyse Huntingtin
protein and other biomarkers as clues
to disease progression
PREDICT-HD : CSF
•Patients and families
•Huntington’s Study Group
•PREDICT Team – Jane Paulsen & colleagues
•Rachel Zombor, Mark Woodman, Elizabeth Vuletich, Steve Andrews, Maria Tedesco, Carmela Pestell
•Staff at the Neurosciences Unit
PREDICT-HD : Thank You