Mortality of Parkinson's disease by Hoehn-Yahr stage from community-based and clinic series [keelung Community-based Integrated Screening (KCIS) no. 17)]
Journal
Journal of Evaluation in Clinical Practice
Journal Volume
15
Journal Issue
4
Pages
587-591
Date Issued
2009
Author(s)
HORNG-HUEI LIOU
Wu C.-Y.
Chiu Y.-H.
Yen A.M.-F.
Chen R.-C.
Chen C.-C.
Hwang Y.-C.
Wen Y.-R.
Abstract
Purpose We aimed to quantify the mortality reduction by which the early detection of Parkinson's disease (PD) within a community-based study could reduce the number of advanced cases. Methods Data used in this study were derived from two community-based surveys and from a clinical series of PD cases identified from a medical centre. The cumulative survival by Hoehn-Yahr (H-Y) scale was estimated and the mortality reduction derived from a community-based survey was predicted. Results A total of 117 PD patients were detected through two community-based approaches. By comparing the H-Y stage distribution of screen-detected cases with those from the clinical series, a 22.5% excess in the number of early PD (H-Y stage I and stage II) were identified with screening. The risk ratios of being H-Y stage III or severe for community-based detected cases versus clinical series were 0.49 (95% confidence interval: 0.30-0.78). The total death rate adjusted by H-Y stage distribution was 21% and 28% for cases from community and clinical series, respectively. Conclusions The present study revealed that early detection of PD through a community-based survey may reduce 51% incidence of stage III or more severe PD at diagnosis, leading to a 25% reduction in mortality. ? 2009 Blackwell Publishing Ltd.
SDGs
Other Subjects
adult; aged; article; controlled study; female; health survey; human; major clinical study; male; mortality; Parkinson disease; prevalence; priority journal; risk factor; screening test; survival rate; Academic Medical Centers; Adult; Aged; Early Diagnosis; Female; Health Care Surveys; Humans; Male; Mass Screening; Middle Aged; Mortality; Parkinson Disease; Proportional Hazards Models; Severity of Illness Index; Survival Analysis; Taiwan
Type
journal article