Scientific Reports (Nov 2021)

Epicardial adipose tissue radiodensity is associated with all-cause mortality in patients undergoing hemodialysis

  • Seong Soon Kwon,
  • Kyoungjin Choi,
  • Bo Da Nam,
  • Haekyung Lee,
  • Nam-Jun Cho,
  • Byoung Won Park,
  • Hyoungnae Kim,
  • Hyunjin Noh,
  • Jin Seok Jeon,
  • Dong Cheol Han,
  • Sujeong Oh,
  • Soon Hyo Kwon

DOI
https://doi.org/10.1038/s41598-021-02427-4
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 9

Abstract

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Abstract The radiodensity and volume of epicardial adipose tissue (EAT) on computed tomography angiography (CTA) may provide information regarding cardiovascular risk and long-term outcomes. EAT volume is associated with mortality in patients undergoing incident hemodialysis. However, the relationship between EAT radiodensity/volume and all-cause mortality in patients with end-stage renal disease (ESRD) undergoing maintenance hemodialysis remains elusive. In this retrospective study, EAT radiodensity (in Hounsfield units) and volume (in cm3) on coronary CTA were quantified for patients with ESRD using automatic, quantitative measurement software between January 2012 and December 2018. All-cause mortality data (up to December 2019) were obtained from the Korean National Statistical Office. The prognostic values of EAT radiodensity and volume for predicting long-term mortality were assessed using multivariable Cox regression models, which were adjusted for potential confounders. A total of 221 patients (mean age: 64.88 ± 11.09 years; 114 women and 107 men) with ESRD were included. The median follow-up duration (interquartile range) after coronary CTA was 29.63 (range 16.67–44.7) months. During follow-up, 82 (37.1%) deaths occurred. In the multivariable analysis, EAT radiodensity (hazard ratio [HR] 1.055; 95% confidence interval [CI] 1.015–1.095; p = 0.006) was an independent predictor of all-cause mortality in patients with ESRD. However, EAT volume was not associated with mortality. Higher EAT radiodensity on CTA is associated with higher long-term all-cause mortality in patients undergoing prevalent hemodialysis, highlighting its potential as a prognostic imaging biomarker in patients undergoing hemodialysis.