4.7 Article

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

Journal

SCIENTIFIC REPORTS
Volume 10, Issue 1, Pages -

Publisher

NATURE RESEARCH
DOI: 10.1038/s41598-020-73633-9

Keywords

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Funding

  1. Ministry of Health, Labor, and Welfare-Japan
  2. Ministry of Education, Culture, Sports, Science and Technology-Japan
  3. Japan Agency for Medical Research and Development, AMED
  4. Japan Heart Foundation
  5. Japan Cardiovascular Research Foundation
  6. Kureha Corporation
  7. Mitsubishi Tanabe Pharma Corporation

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Indoxyl sulfate (IS) is associated with either chronic kidney disease or renal failure, which may predict cardiovascular events via cardiorenal syndrome. The present study aimed to elucidate whether the plasma levels of IS can predict the occurrence of cardiovascular events in patients with chronic heart failure (CHF) and investigate which causes of CHF leading to cardiovascular events are highly influenced by plasma IS levels. We measured the plasma IS levels in 165 patients with CHF [valvular disease: 78, dilated cardiomyopathy: 29, hypertrophic cardiomyopathy (HCM): 25 and others: 33] admitted to our hospital in 2012, and we followed up these patients for more than 5 years (the median follow-up period: 5.3 years). We measured the plasma IS level in 165 patients with CHF, and Kaplan-Meier analyses showed that high plasma IS levels (>= 0.79 mu g/mL, the median value) could predict the occurrence of cardiovascular events, i.e., cardiovascular death or rehospitalization due to the worsening of CHF. The sub-analyses showed that the high IS level could predict cardiovascular events in patients with CHF due to HCM and that the plasma IS levels were closely associated with left ventricular (LV) dimension, LV systolic dysfunction, and plasma B-type natriuretic peptide levels, rather than LV diastolic dysfunction. Plasma IS level predicts cardiovascular events in patients with CHF, especially those with HCM along with cardiac dysfunction. Besides, IS may become a proper biomarker to predict cardiovascular events in patients with CHF.

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