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Urinary cadmium levels predict mortality of patients with acute heart failure

Ching-Wei Hsu1, Cheng-Hao Weng1, Cheng-Chia Lee1

  • 1Department of Nephrology, Division of Clinical Toxicology, Chang Gung Memorial Hospital, Taipei, Taiwan, ROC; Department of Nephrology, Division of Clinical Toxicology, Linkou Medical Center, Taoyuan, Taiwan, ROC; Chang Gung University and School of Medicine, Taoyuan, Taiwan, ROC.

Insights

Urinary cadmium levels on ICU admission predict mortality in acute heart failure (AHF) patients. Higher cadmium levels correlate with increased AHF mortality risk, outperforming existing scoring systems.

Area of Science:

  • Environmental toxicology
  • Cardiovascular medicine
  • Critical care medicine

Background:

  • Acute heart failure (AHF) is a critical condition with high mortality in intensive care units (ICUs).
  • Environmental cadmium exposure is linked to general population mortality, but its role in AHF patients is not well-defined.

Purpose of the Study:

  • To investigate the relationship between urinary cadmium levels and mortality in patients with AHF.
  • To evaluate urinary cadmium as a predictor of mortality in AHF patients.

Main Methods:

  • A cohort of 153 AHF patients in ICUs was followed for 6 months.
  • Urinary cadmium levels on day 1 of ICU admission (D1UCd) were measured.
  • Demographic, clinical, and laboratory data, including SOFA and APACHE II scores, were collected.

Main Results:

  • The overall mortality rate was 24.8%.
  • Survivors had higher D1UCd levels than non-survivors.
  • D1UCd was positively correlated with acute kidney injury and negatively with serum albumin.
  • Multivariate Cox analysis identified D1UCd as an independent predictor of mortality (HR 1.20 per 1 μg increment, P<0.001).
  • The area under the ROC curve for D1UCd (0.84) was superior to SOFA and APACHE II scores.

Conclusions:

  • Urinary cadmium levels on ICU admission may serve as a standalone predictor of hospital mortality in AHF patients.
  • Further research is needed to confirm these findings and explore underlying mechanisms due to the study's limitations.
Abstract

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