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 journalJournal Article peer-review

8 Scopus citations

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
StatePublished - 04 2008
Externally publishedYes

Keywords

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

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