Natural history and effectiveness of early detection of Parkinson's disease: Results from two community-based programmes in Taiwan (KCIS no. 11)

Horng Huei Liou, Chia Yun Wu, Yueh Hsia Chiu, Amy Ming Fang Yen, Rong Chi Chen, Ta Fu Chen, Chih Chuan Chen, Yuarn Chung Hwang, Ying Rong Wen, Tony Hsiu Hsi Chen

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Objectives: The natural course of Parkinson's disease (PD), as measured on the Hoehn-Yahr (H-Y) scale, and the impact that early detection would have on prognosis for those with the disease, has barely been addressed since the introduction of L-dopa. This study aimed to elucidate the natural history of PD and effectiveness of early detection in reducing advanced disability and mortality. Method: A total of 21 362 participants aged 40 years or older were invited to two community-based programmes for the early detection of PD. The step-by-step annual progression rates from H-Y stage I to stage IV or V, and cumulative survival rates, by the H-Y scale, were estimated and applied to simulated data to assess the impact of different screening intervals upon stage at diagnosis and subsequent survival. Results: The average duration in stages I, II and III was estimated as 2.83, 6.62 and 1.41 years, respectively. The average delay time before deteriorating into H-Y stage III was 9.45 year. Application of these parameters to simulated model predicted a 36% (95% CI: 28-39%), 26% (95% CI: 20-32%) and 19% (95% CI: 13-24%) reduction in death for annual, 5-yearly and 10-yearly screening programmes, respectively. Conclusion: The present study recommended a 5-yearly screening programme, with 74% of PD cases prevented from progressing to H-Y stage III or worse within 10 years of diagnosis, and leading to a corresponding 26% reduction in mortality.

Original languageEnglish
Pages (from-to)198-202
Number of pages5
JournalJournal of Evaluation in Clinical Practice
Volume14
Issue number2
DOIs
Publication statusPublished - Apr 2008
Externally publishedYes

Keywords

  • Early detection
  • Hoehn-Yahr stage
  • Markov model
  • Parkinson's disease

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Health Information Management
  • Nursing(all)

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