Relationship between major adverse cardiac events and angiographic findings in dialysis patients

F Fabbian1, G Cacici, V De Biase

  • 1UO di Clinica Medica, Arcispedale S Anna, Ferrara, Italy. f.fabbian@ospfe.it

Insights

In dialysis patients, coronary angiography accurately predicts major adverse coronary events (MACE). Severe coronary artery disease (CAD) and older age are significant risk factors for MACE.

Area of Science:

  • Cardiology
  • Nephrology
  • Vascular Medicine

Background:

  • Dialysis patients face higher risks of cardiovascular events.
  • Coronary angiography (CA) is a key diagnostic tool for predicting major adverse coronary events (MACE) in this population.
  • Non-invasive tests are less effective than CA in predicting MACE in dialysis patients.

Purpose of the Study:

  • To examine the association between coronary atherosclerotic damage visualized by angiography and MACE.
  • To identify risk factors for MACE in dialysis patients over a 5-year follow-up.
  • To compare MACE risk between dialysis patients with and without pre-existing coronary artery disease (CAD).

Main Methods:

  • Coronary angiography performed on 63 dialysis patients (37 without prior cardiac disease, 26 with known CAD).
  • Long-term follow-up (mean 62 months) to record MACE.
  • Statistical analysis using logistic and Cox regression to identify MACE predictors, defining severe CAD as ≥75% stenosis.

Main Results:

  • 17 patients experienced MACE; 49% had severe CAD.
  • MACE group was older, had lower diastolic blood pressure, and higher prevalence of CAD and cerebrovascular disease.
  • Age was independently associated with MACE; after adjusting for age, severe coronary artery stenosis independently predicted MACE.

Conclusions:

  • Coronary atherosclerotic damage assessed by angiography is strongly linked to MACE in dialysis patients.
  • Advanced age and severe coronary artery disease (CAD) are major risk factors for MACE.
  • Dialysis patients awaiting transplantation with no prior CAD history had better event-free survival.
Abstract

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