SCIENTIFIC HUB

Follow the evidence.

SCIENTIFIC LITERATURE · MED

The influence of cholesterol on the 5-year all-cause mortality of Parkinson patients with or without deep brain stimulation.

Sci Prog · 2026-07-22

DOI: 10.1177/00368504261463435PMID: 42484026

Open accessresearch-article; Journal ArticleOriginal source ↗

Research overview

The text below is the source article’s original abstract under a verified reuse license. cc by

ObjectiveParkinson's disease (PD) is a progressive neurodegenerative disorder marked by motor and non-motor symptoms. While cholesterol metabolism has been implicated in PD pathogenesis, its role in long-term mortality remains unclear. The intention of this study was to evaluate if cholesterol parameters impact the 5-year all-cause mortality of PD patients.MethodsThis study has a retrospective cross-sectional design, including a total of 212 PD, patients which were grouped by treatment (DBS or BMT). Cognitive function, depressive symptoms, and motor status were assessed with standardized instruments. Cholesterol parameters (total cholesterol, LDL, HDL, TC/HDL ratio) were measured within ± 90 days of neuropsychological testing. Cox proportional hazards models and Kaplan-Meier analyses were used to examine associations with 5-year mortality.ResultsFive-year survival likelihood was 88.4% for DBS and 66.7% for BMT. However, cholesterol parameters emerged as non-significant predictors of mortality in the Cox regression model. Age occurred as the only significant predictor.ConclusionCholesterol levels do not appear to predict 5-year mortality in PD patients. Age was the strongest risk factor. Further studies are recommended to clarify cholesterol's role in PD progression and mortality.

Scientific assessment

01

Research question

Assess the question within the original study’s scope.

02

Methods & sample

Check the source article for study design and sample details.

03

Key findings

An editorially approved findings summary is not yet published for this record.

04

Limitations

Generalizability, bias and clinical meaning require separate assessment.

Methods, samples and clinical conclusions are not inferred from bibliographic metadata.