Abstract
Objectives: To examine the risk of any or specific types of cardiovascular diseases (CVDs) in patients with Parkinson's disease (PD), in the 16 years around disease onset, and to compare it to that in the general population. Methods: This is a large-scale population-based retrospective cohort study of newly diagnosed PD patients, members of Maccabi Health Services (MHS), who started taking anti-parkinsonian drugs (APD) between 1/1/2000-31/12/2019 (study period). We collected information about CVD incidence (Congestive heart failure-CHF, Myocardial infarction-MI, Stroke) from MHS-CVD registry. We applied Cox regression to estimate adjusted-HR and 95%CI of CVD risks. We calculated Standardized-Incidence-Ratio (SIR) comparing CVD risks in the PD cohort to that of MHS population. Results: The PD cohort comprised 10,840 patients. During a mean follow up of 16.3 ± 4.3y around disease onset, 20.7% (n = 2241) were diagnosed with any CVD: 7.9% with CHF; 6.7% with MI, and 10.5% with stroke. Risks were higher for men: HR = 1.95 (95%CI 1.58–2.40), and for above age 75y at first APD treatment, HR = 2.00 (95% CI 1.65–2.43). Compared to the MHS population, the PD cohort exhibited a significantly lower risk for CVDs, especially for men: SIRmen = 0.21 (95%CI 0.20–0.22), SIRwomen = 0.29 (95% CI 0.27–0.31). These trends were similar for the specific CVDs. Conclusions: The findings suggest that the risks that PD patients and particularly men, will develop any type of CVD are lower than those of the general population. Further studies are needed to confirm this finding and examine the underlying mechanisms.
Original language | English |
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Article number | 105795 |
Journal | Parkinsonism and Related Disorders |
Volume | 114 |
DOIs | |
State | Published - Sep 2023 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2023 Elsevier Ltd
Keywords
- Cardiovascular disease
- Comorbidity
- Congestive heart failure
- Myocardial infarction
- Parkinson's disease
- Stroke
ASJC Scopus subject areas
- Neurology
- Geriatrics and Gerontology
- Clinical Neurology