Plasma indoxyl sulfate levels predict cardiovascular events in patients with mild chronic heart failure

Miki Imazu1, Hiroki Fukuda1, Hideaki Kanzaki2

  • 1Department of Clinical Research and Development, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan.

Scientific Reports
|October 6, 2020
PubMed

Insights

High indoxyl sulfate (IS) levels predict cardiovascular events in patients with chronic heart failure (CHF). This is particularly true for those with hypertrophic cardiomyopathy (HCM), indicating IS as a potential biomarker.

Area of Science:

  • Cardiology
  • Nephrology
  • Biomarkers

Background:

  • Indoxyl sulfate (IS) is linked to chronic kidney disease and renal failure, potentially predicting cardiovascular events through cardiorenal syndrome.
  • The prognostic value of IS in patients with chronic heart failure (CHF) remains to be fully elucidated.

Purpose of the Study:

  • To determine if plasma IS levels predict cardiovascular events in CHF patients.
  • To investigate the specific causes of CHF influenced by plasma IS levels.

Main Methods:

  • Plasma IS levels were measured in 165 CHF patients (including valvular disease, dilated cardiomyopathy, and hypertrophic cardiomyopathy (HCM)).
  • Patients were followed for over 5 years using Kaplan-Meier analysis to assess cardiovascular events (death or rehospitalization).
  • Sub-analyses examined the association between IS levels and specific cardiac parameters and CHF etiologies.

Main Results:

  • Elevated plasma IS levels (≥ 0.79 µg/mL) significantly predicted cardiovascular events in CHF patients.
  • High IS levels were particularly predictive in CHF patients with HCM.
  • Plasma IS levels correlated with left ventricular (LV) dimension, LV systolic dysfunction, and B-type natriuretic peptide, but not LV diastolic dysfunction.

Conclusions:

  • Plasma IS levels are a predictor of cardiovascular events in patients with CHF, especially those with HCM and cardiac dysfunction.
  • IS shows potential as a valuable biomarker for predicting cardiovascular events in the CHF population.

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