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Development of a 3-Dimensional Prognostic Score for Patients With Symptomatic Peripheral Artery Disease: PAD3D Score

Jörn F Dopheide1, Hana Ramadani1, Luise Adam1

  • 1Division of Angiology, Swiss Cardiovascular Center, Inselspital, Bern University Hospital, University of Bern, Switzerland.

Angiology
|April 29, 2020
PubMed

Insights

A new PAD3D score accurately predicts mortality in peripheral artery disease (PAD) patients. This tool combines age, PAD severity, and atherosclerosis extent, offering personalized risk intervention goals.

Area of Science:

  • Cardiovascular Medicine
  • Vascular Surgery
  • Clinical Risk Prediction

Background:

  • Peripheral artery disease (PAD) is a significant risk factor for cardiovascular events.
  • Currently, no specific prognostic assessment tool exists for PAD patients.
  • Accurate risk stratification is crucial for effective patient management.

Purpose of the Study:

  • To develop and validate an individual risk score (PAD3D) for predicting mortality in symptomatic PAD patients.
  • To assess the predictive value of the PAD3D score for all-cause and cardiovascular (CV) mortality.
  • To compare the prognostic performance of PAD3D with traditional risk factors.

Main Methods:

  • Development of the PAD3D score incorporating age, PAD severity, and atherosclerosis extent.
  • Prospective analysis of all-cause and CV mortality in 1310 symptomatic PAD patients.
  • Random subdivision of the cohort into test and validation sets (n=655 each).

Main Results:

  • The PAD3D score significantly predicted all-cause and CV mortality in both test and validation cohorts (P < .001).
  • The PAD3D score demonstrated a 4.5-fold increased risk for all-cause and CV mortality.
  • Adding classical risk factors did not improve the predictive discrimination of the PAD3D score.

Conclusions:

  • The PAD3D score provides a precise tool for predicting mortality in PAD patients.
  • The PAD3D score enables personalized risk intervention strategies.
  • PAD3D offers a valuable prognostic assessment independent of traditional risk factors.

Keywords:
cardiovascular outcomeperipheral artery diseasepersonalized medicineprognostic scorerisk quantificationtest and validation cohort

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