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Related Experiment Video

Updated: Feb 11, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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Survival analysis and prognostic nomogram model for multiple system atrophy.

Bei Cao1, Lingyu Zhang1, Yutong Zou2

  • 1Department of Neurology, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan, People's Republic of China.

Parkinsonism & Related Disorders
|May 6, 2018
PubMed
Summary
This summary is machine-generated.

Survival in multiple system atrophy (MSA) is impacted by autonomic onset, disease severity, falls, orthostatic hypotension, and diagnostic delay. A prognostic nomogram effectively predicts survival probability for individual MSA patients.

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Area of Science:

  • Neurology
  • Clinical Medicine
  • Biostatistics

Background:

  • Multiple System Atrophy (MSA) is a rare, fatal neurodegenerative disorder.
  • Accurate prognostic tools are crucial for managing MSA patients and planning care.

Purpose of the Study:

  • To identify factors associated with survival in MSA patients.
  • To develop and validate a prognostic nomogram for predicting individual MSA survival.

Main Methods:

  • Retrospective analysis of 220 probable MSA patients (2009-2013).
  • Unified Multiple System Atrophy Rating Scale (UMSARS) used for disease severity.
  • Cox regression analyses identified survival predictors.
  • Nomogram developed and validated in a prospective cohort (80 patients, 2014-2015).

Main Results:

  • Median survival was 6.4 years.
  • Factors associated with poor survival included autonomic onset, higher UMSARS scores, frequent falls, orthostatic hypotension (OH), and shorter diagnostic delay.
  • The nomogram achieved a concordance index of 0.677 (primary) and 0.721 (validation).

Conclusions:

  • Autonomic onset, higher UMSARS score, frequent falls, OH, and shorter diagnostic delay are independent predictors of poor survival in MSA.
  • The developed prognostic nomogram offers an effective tool for predicting survival in individual MSA patients.