High cystatin C levels predict long-term mortality in patients with ST-segment elevation myocardial infarction

Yuewu Chen1,2, Yan Fan3, Min Men4

  • 1Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Clinical Cardiology
|March 26, 2019
PubMed

Insights

High admission cystatin C levels predict long-term mortality in ST-segment elevation myocardial infarction (STEMI) patients undergoing late percutaneous coronary intervention (PCI). This finding aids in risk stratification for these individuals.

Area of Science:

  • Cardiology
  • Biomarkers
  • Clinical Medicine

Background:

  • Late percutaneous coronary intervention (PCI) is a common treatment for ST-segment elevation myocardial infarction (STEMI).
  • Predicting long-term mortality in STEMI patients receiving late PCI is crucial for patient management.
  • Cystatin C (cys C) is a potential biomarker for cardiovascular risk.

Purpose of the Study:

  • To evaluate the predictive value of admission cystatin C (cys C) levels on long-term mortality.
  • To assess the role of cys C in STEMI patients undergoing late PCI.

Main Methods:

  • Retrospective analysis of 716 STEMI patients who received late PCI (PCI > 7 days from symptom onset).
  • Cystatin C levels were measured at admission; a threshold of ≥1.105 mg/L was identified.
  • Long-term mortality was assessed through follow-up interviews and medical record review.

Main Results:

  • Patients with high cys C levels (≥1.105 mg/L) showed significantly higher long-term all-cause mortality (10.4% vs 2.9%) and cardiac mortality (6.8% vs 2.1%) compared to those with low cys C levels.
  • Multivariate Cox regression confirmed high cys C level as an independent predictor of both all-cause and cardiac mortality.

Conclusions:

  • Admission cystatin C level is a valuable independent predictor of long-term mortality.
  • High cys C levels identify STEMI patients undergoing late PCI at increased risk for adverse outcomes.
  • This biomarker can aid in risk stratification and personalized treatment strategies.
Abstract

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