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Vasoactive Biomarkers Associated With Long-Term Incidence of Symptomatic Peripheral Arterial Disease and Mortality

Ardwan Dakhel1,2, Gunnar Engström1, Olle Melander1,3

  • 1Department of Clinical Sciences, Malmö, 5193Lund University, Sweden.

Angiology
|January 28, 2021
PubMed

Insights

Plasma biomarkers like CT-proET-1, NT-proSST, and MR-proANP predict peripheral arterial disease (PAD) risk. All tested vasoactive biomarkers are associated with increased mortality risk in longitudinal studies.

Area of Science:

  • Cardiovascular Medicine
  • Biomarker Discovery
  • Epidemiology

Background:

  • Peripheral arterial disease (PAD) and mortality are significant health concerns.
  • Early prediction of PAD and mortality is crucial for timely intervention.
  • Plasma biomarkers offer a potential avenue for risk stratification.

Purpose of the Study:

  • To evaluate the predictive value of specific plasma biomarkers for incident PAD and mortality.
  • To assess the association of C-terminal endothelin-1 (CT-proET-1), N-Terminal prosomatostatin (NT-proSST), midregional proatrial natriuretic peptide (MR-proANP), procalcitonin (PCT), and copeptin with PAD and mortality.

Main Methods:

  • Longitudinal cohort study including men and women from the Malmö Preventive Project.
  • Analysis of five plasma biomarkers: CT-proET-1, NT-proSST, MR-proANP, PCT, and copeptin.
  • Follow-up for incident PAD and mortality until December 31, 2016, using Cox proportional hazards regression models.

Main Results:

  • Higher levels of CT-proET-1, NT-proSST, and MR-proANP were independently associated with incident PAD.
  • All tested biomarkers (CT-proET-1, NT-proSST, MR-proANP, PCT, and copeptin) were independently associated with mortality.
  • Cumulative incidence of PAD was 4.3% over a median follow-up of 11.2 years.

Conclusions:

  • CT-proET-1, NT-proSST, and MR-proANP are valuable predictors of incident PAD.
  • All evaluated vasoactive biomarkers serve as independent predictors of mortality.
  • These biomarkers may aid in identifying individuals at higher risk for PAD and adverse cardiovascular outcomes.

Keywords:
atherosclerosisbiomarkersperipheral arterial disease

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