Recent antipsychotics use associated with elevated risk of Parkinson's disease
Neilson, L.; Carnahan, R.; Duffy, S.; Kijewski, V.; Narayanan, N.; Simmering, J. E.
Show abstract
Introduction: Parkinson's disease is a neurodegenerative disease affecting motor and cognitive function that has a major impact on society. Epidemiological evidence has suggested that the incidence of PD may be increasing; however, the underlying etiology is unclear. Here, we investigated the role of increasingly used antipsychotics in the diagnosis of PD. Methods: We harnessed Merative Marketscan insurance claims databases to conduct a case-control study of 65,275 new cases of PD and 652,364 age-, sex-, and time-matched controls. We estimated associations between exposure and duration of use for antipsychotics adjusted for important confounders using fixed effects logistic regression. We performed sensitivity analyses stratified by the level of D2 receptor inhibition to assess dose-response relationships; a lagged exposure analysis to address confounding by indication; analysis assessing exposure of other psychiatric medications without significant D2 inhibition (bupropion, trazodone, and Z-drugs); analysis assessing exposure of non-psychiatric medications with significant (metoclopramide) or no D2 inhibition (ondansetron). Results: We found cases with PD had elevated odds of antipsychotic exposure. Longer durations of exposure and greater affinity for the D2 receptor were associated with greater associations with PD. There was a dose-response relationship between D2 inhibition activity and increased odds of PD for a similar duration of exposure. There was a dose response relationship between duration of metoclopramide and the odds of PD; however, there was no such relationship between the non-D2 inhibiting control medications. The association between exposure to an antipsychotic and increased odds of PD was present even when the first exposure was 10 years prior to the PD diagnosis date. Conclusion: If these results are causal, antipsychotic use may explain up to 2.4% of all cases of PD. Given the increasing rate of use of these medications, and the concurrent increasing age-adjusted incidence of PD, there is an urgent need for further investigation into this association and greater awareness of the potential risks of these medications in older adults.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Parkinson's disease psychosis associated with accelerated multi-domain cognitive decline 92%
- Decline in striatal binding ratio associated with accelerated decline in performance on Symbol Digit Modality but not MoCA in Parkinson’s disease psychosis 91%
- Co-prescription of Metformin and Antipsychotics in Severe Mental Illness: A UK Primary Care Cohort Study 91%
Similar papers in this journal
- Time perception reflects individual differences in motor and non-motor symptoms of Parkinson's disease 94%
- Polygenic risk prediction and SNCA haplotype analysis in a Latino Parkinson’s disease cohort 90%
- Effect of Eight-Week Online Cognitive Training in Parkinson’s Disease: A Randomized Controlled Trial 90%
Similar papers in this journal
- Gene-environment interactions for Parkinson disease 93%
- α4β2 * Nicotinic Cholinergic Receptor Target Engagement in Parkinson Disease Gait-Balance Disorders 93%
- Development of Parkinson’s disease and its relationship with incidentally-discovered white matter disease and covert brain infarction in a real world cohort 92%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.