Estimating Age-at-Onset in Huntington Disease
Author Information
Author(s): Michael Orth, Carsten Schwenke
Primary Institution: University of Ulm
Hypothesis
The study hypothesized that agreement rates between clinicians’ estimates of age-at-onset (AAO) and data-based AAO would be lower in REGISTRY data compared to PREDICT-HD data.
Conclusion
Estimating or predicting age-at-onset in Huntington disease may be inaccurate, and it can be useful to incorporate motor score regression derived age-at-onset for better accuracy.
Supporting Evidence
- The study found that the investigator's estimate of AAO was 3 years earlier than the calculated AAO from motor scores.
- Agreement rates between clinician estimates and data-derived AAO were better in PREDICT-HD than in REGISTRY.
- Longitudinal data from PREDICT-HD showed a more accurate prediction of AAO compared to retrospective estimates.
Takeaway
This study looked at how doctors guess when Huntington's disease starts compared to using data from tests, and found that the guesses can be off by a lot.
Methodology
The study used retrospective data from two longitudinal observational studies, REGISTRY and PREDICT-HD, analyzing age, gender, CAG repeat length, and clinical data from participants.
Potential Biases
The reliance on clinician estimates may introduce bias, as these estimates are retrospective and can be influenced by many factors.
Limitations
The study faced limitations due to the assumption of linear progression and the exclusion of participants with negative slopes in motor scores.
Participant Demographics
The study included 423 REGISTRY participants (205 male) and 124 PREDICT-HD participants, with a mean CAG repeat expansion of 44.
Digital Object Identifier (DOI)
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