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Serum Dickkopf-3 as a biomarker for predicting acute kidney injury in postoperative intensive care patients

  • 0Department of Critical Care Medicine, Peking University People's Hospital, Beijing, China.
Minerva Anestesiologica +

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February 6, 2025

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February 6, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Serum Dickkopf-3 (DKK3) effectively diagnoses acute kidney injury (AKI) in ICU patients. This promising biomarker aids in early intervention and improves patient outcomes, highlighting its clinical utility.

Area Of Science

  • Nephrology
  • Critical Care Medicine
  • Biomarker Discovery

Background

  • Acute kidney injury (AKI) is a prevalent and serious complication in Intensive Care Units (ICUs), impacting over 50% of admitted patients.
  • High morbidity and mortality rates associated with AKI necessitate the development of precise biomarkers for early detection and timely intervention.
  • Dickkopf-3 (DKK3) has shown potential as a specific biomarker for identifying renal injury.

Purpose Of The Study

  • To investigate the diagnostic and prognostic value of Dickkopf-3 (DKK3) in Intensive Care Unit (ICU) patients.
  • To evaluate the performance of a predictive model incorporating DKK3 for acute kidney injury (AKI).

Main Methods

  • A prospective cohort study included 166 non-cardiac postoperative ICU patients.
  • Serum and urinary DKK3 levels were measured using ELISA.
  • A logistic regression model integrated serum creatinine, cystatin C, serum DKK3, and the serum DKK3 to urine DKK3 ratio.

Main Results

  • Elevated serum DKK3 levels correlated significantly with increased AKI incidence and adverse outcomes (AKI or death).
  • The predictive model achieved an area under the receiver operating characteristic curve (AUC) of 0.98, indicating high accuracy.
  • Decision curve analysis confirmed the clinical benefit of using serum DKK3 for treatment guidance, especially in high-risk patients.

Conclusions

  • Serum DKK3 serves as a reliable biomarker for diagnosing AKI and stratifying patient risk.
  • The DKK3-inclusive predictive model offers a valuable tool for clinical decision-making in the ICU.
  • Further research in larger, diverse populations is recommended to validate these findings.

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