Using precision medicine methods to identify disease stages for chronic limb-threatening ischemia in participants of

Christina W Zhou1, Margaret Hoch1, Nikki L B Freeman2

  • 1Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC.

PubMed

Insights

Precision medicine identified three distinct stages of chronic limb-threatening ischemia (CLTI), improving patient risk stratification. This staging system aids in developing tailored treatment algorithms for better clinical outcomes in CLTI patients.

Area of Science:

  • Vascular Surgery
  • Precision Medicine
  • Biostatistics

Background:

  • Chronic limb-threatening ischemia (CLTI) presents heterogeneously, increasing limb loss risk.
  • Accurate staging of CLTI, incorporating limb and systemic factors, is crucial for effective treatment decisions.
  • Precision medicine analytics can integrate multimodal data for a comprehensive CLTI staging system.

Purpose of the Study:

  • To identify distinct patient clusters representing stages of CLTI using precision medicine analytics.
  • To evaluate the association of these identified stages with amputation-free survival and mortality.
  • To inform the development of tailored treatment strategies for CLTI.

Main Methods:

  • Utilized data from the BEST-CLI international randomized controlled trial.
  • Employed supervised latent topic modeling to identify patient feature clusters.
  • Stratified patients by revascularization type and assigned them to clusters based on probability.

Main Results:

  • Identified three distinct CLTI stages based on patient and limb characteristics.
  • Stage 3 exhibited the highest rates of comorbidities, including end-stage renal disease and diabetes.
  • Outcomes varied across stages, with Stage 1 showing better amputation-free survival compared to Stages 2 and 3.

Conclusions:

  • Three distinct CLTI stages were identified using precision medicine approaches.
  • Findings align with previous research on CLTI patient cohorts.
  • Further research is needed to develop stage-specific treatment algorithms for CLTI.
Abstract

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