Objective:
To analyze nonmotor features documented before Parkinson disease diagnosis and their association with subsequent diagnosis.
Approach:
- Study Design: Retrospective matched case-control study using the National Institutes of Health All of Us Research Program Registered Tier dataset.
- Participants: Included 2,673 patients aged 40 years or older with at least 2 distinct PD diagnosis dates and 10,692 matched controls.
- Nonmotor Features Examined: Nine features were analyzed: REM sleep behavior disorder, mild cognitive impairment, orthostatic hypotension, constipation, urinary dysfunction, depression, anxiety, insomnia, and erectile dysfunction.
Key Findings:
- REM sleep behavior disorder showed the strongest association with PD, documented in 2.7% of PD patients vs 0.2% of controls, associated with nearly 10-fold higher odds.
- Mild cognitive impairment was documented in 4.8% of PD cases vs 0.9% of controls, associated with approximately 4-fold higher odds.
- Orthostatic hypotension was documented in 5.6% of PD cases vs 2.2% of controls, associated with 83% higher primary conditional odds and 88% higher age- and sex-adjusted unconditional odds.
- Depression and anxiety were less consistently associated with PD.
Interpretation:
Associations for REM sleep behavior disorder, mild cognitive impairment, and orthostatic hypotension remained stable across various analyses, while depression and anxiety showed less secure associations.
Limitations:
- Electronic health record documentation may not reflect true biological onset.
- The overall model had modest discrimination with an area under the curve of 0.585.
Conclusion:
Electronic health record–documented nonmotor features were informative at the group level but insufficient for individual PD prediction.
Sources:
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.
