Soluble urokinase receptor as a predictor of non-cardiac mortality in patients with percutaneous coronary intervention treated ST-segment elevation myocardial infarction

  • Andreas Sandø
  • Martin Schultz
  • Jesper Eugen-Olsen
  • Lars Køber
  • Thomas Engstrøm
  • Henning Kelbæk
  • Erik Jørgensen
  • Kari Saunamäki
  • Lene Holmvang
  • Frants Pedersen
  • Hans Henrik Tilsted
  • Dan Høfsten
  • Steffen Helqvist
  • Peter Clemmensen
  • Kasper Iversen

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Abstract

BACKGROUND: Identification of patients at high risk of non-cardiac mortality following ST-segment elevation myocardial infarction (STEMI) could guide clinicians to identify patients who require attention due to serious non-cardiac conditions after the acute phase of STEMI. The purpose of this study was to evaluate if the non-specific and prognostic biomarker of inflammation and comorbidity, soluble urokinase receptor (suPAR), could predict non-cardiac mortality in a cohort of STEMI patients.

METHODS: SuPAR was measured in 1,190 STEMI patients who underwent primary percutaneous coronary intervention (pPCI). The primary endpoint was non-cardiac mortality, secondary endpoints were cardiac mortality, all-cause mortality, reinfarction and periprocedural acute kidney injury. Backwards elimination of potential confounders significantly associated with the respective outcome was used to adjust associations.

RESULTS: Patients were followed for a median of 3.0 years (interquartile range 2.5- 3.6 years). Multivariate cox regression revealed that a plasma suPAR level above 3.70 ng mL-1 was associated with non-cardiac and cardiac mortality at hazard ratios 3.33 (95% confidence interval 1.67-6.63, p = 0.001, adjusted for age) and 0.99 (0.18-5.30, p = 0.98, adjusted for previous myocardial infarction and left ventricular ejection fraction), respectively.

CONCLUSION: In patients with pPCI treated STEMI, suPAR was an independent prognostic biomarker of non-cardiac but not cardiac mortality and may identify patients with high risk of non-cardiac mortality.

Bibliographical data

Original languageEnglish
ISSN0009-9120
DOIs
Publication statusPublished - 06.2020
PubMed 32213303