Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10654-016-0130-1
Title: Predicting Parkinson disease in the community using a nonmotor risk score
Authors: Darweesh, S.K.L
Koudstaal, P.J
Stricker, B.H
Hofman, A
Steyerberg, E.W
Ikram, M.A 
Keywords: alcohol
antiparkinson agent
laxative
nonsteroid antiinflammatory agent
adult
aged
alcohol consumption
Article
clinical feature
coffee
constipation
controlled study
dementia
depression
disease association
drinking
family history
female
follow up
human
hypertension
incidence
incidental finding
major clinical study
male
middle aged
Netherlands
neurologic disease assessment
Parkinson disease
parkinsonism
population research
PREDICT PD risk score
predictive value
risk assessment
risk factor
scoring system
sex difference
smoking
cohort analysis
health survey
neuropsychological test
Parkinson disease
predictive value
proportional hazards model
prospective study
questionnaire
reproducibility
risk assessment
standards
very elderly
Aged
Aged, 80 and over
Cohort Studies
Female
Follow-Up Studies
Humans
Male
Middle Aged
Netherlands
Neuropsychological Tests
Parkinson Disease
Population Surveillance
Predictive Value of Tests
Proportional Hazards Models
Prospective Studies
Reproducibility of Results
Risk Assessment
Surveys and Questionnaires
Issue Date: 2016
Publisher: Springer Netherlands
Citation: Darweesh, S.K.L, Koudstaal, P.J, Stricker, B.H, Hofman, A, Steyerberg, E.W, Ikram, M.A (2016). Predicting Parkinson disease in the community using a nonmotor risk score. European Journal of Epidemiology 31 (7) : 679-684. ScholarBank@NUS Repository. https://doi.org/10.1007/s10654-016-0130-1
Rights: Attribution 4.0 International
Abstract: At present, there are no validated methods to identify persons who are at increased risk for Parkinson Disease (PD) from the general population. We investigated the clinical usefulness of a recently proposed non-motor risk score for PD (the PREDICT-PD risk score) in the population-based Rotterdam Study. At baseline (1990), we constructed a weighted risk score based on 10 early nonmotor features and risk factors in 6492 persons free of parkinsonism and dementia. We followed these persons for up to 20 years (median 16.1 years) for the onset of PD until 2011. We studied the association between the PREDICT-PD risk score and incident PD using competing risk regression models with adjustment for age and sex. In addition, we assessed whether the PREDICT-PD risk score improved discrimination (C-statistics) and risk classification (net reclassification improvement) of incident PD beyond age and sex. During follow-up, 110 persons were diagnosed with incident PD. The PREDICT-PD risk score was associated with incident PD (hazard ratio [HR] = 1.30; 95 % confidence interval [1.06; 1.59]) and yielded a small, non-significant improvement in overall discrimination (?C-statistic = 0.018[?0.005; 0.041]) and risk classification (net reclassification improvement = 0.172[?0.017; 0.360]) of incident PD. In conclusion, the PREDICT-PD risk score only slightly improves long-term prediction of PD in the community. © 2016, The Author(s).
Source Title: European Journal of Epidemiology
URI: https://scholarbank.nus.edu.sg/handle/10635/179301
ISSN: 0393-2990
DOI: 10.1007/s10654-016-0130-1
Rights: Attribution 4.0 International
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