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Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

[Use of Cox's model in long-term survival analysis of cerebrovascular disease]

Y Cai1

  • 1Hengyang Medical College, Hunan.

Zhonghua Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi
|June 1, 1992
PubMed

Insights

Long-term survival rates for cerebrovascular disease patients were significantly lower than the general population. Key risk factors identified include disease recurrence, hypertension, and advanced age.

Area of Science:

  • Neurology
  • Epidemiology
  • Biostatistics

Context:

  • A cohort of 885 patients with cerebrovascular disease was followed over an 8-year period.
  • Survival rates were compared against the general population in the same geographic region.

Purpose:

  • To assess the long-term survival outcomes of patients diagnosed with cerebrovascular disease.
  • To identify significant risk factors impacting survival in this patient cohort.

Summary:

  • Survival rates at 3, 5, and 8 years were 86.98%, 75.70%, and 64.26% respectively, all notably lower than expected.
  • Cox's proportional hazards model identified disease recurrence (RR=3.29), hypertension (RR=2.17), and age (RR=1.65) as significant predictors of mortality.

Impact:

  • Findings highlight the critical need for proactive management of cerebrovascular disease.
  • Identified risk factors can inform targeted interventions to improve patient prognosis and reduce mortality.

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