A Nomogram to Predict Contrast Induced Nephropathy in Patients Undergoing Percutaneous Coronary Intervention

Xun Hu1, Xiao-Dong Zhuang, Yi Li

  • 1Department of Cardiology, The First Affiliated Hospital, Sun Yat-sen University.

Insights

Soluble klotho (sklotho) can predict contrast-induced nephropathy (CIN) in patients undergoing percutaneous coronary intervention (PCI). Lower sklotho levels correlate with CIN, and a nomogram including sklotho improves prediction accuracy for this common hospital-acquired kidney injury.

Area of Science:

  • Nephrology
  • Cardiology
  • Biomarker Discovery

Background:

  • Contrast-induced nephropathy (CIN) is a significant cause of hospital-acquired acute kidney injury (AKI).
  • Early diagnosis of AKI is crucial for timely intervention and improved patient outcomes.
  • Soluble klotho (sklotho) has emerged as a potential novel biomarker for early AKI detection.

Purpose of the Study:

  • To evaluate the predictive capability of soluble klotho (sklotho) for contrast-induced nephropathy (CIN).
  • To develop and validate a predictive nomogram for CIN in patients undergoing percutaneous coronary intervention (PCI), incorporating sklotho levels.

Main Methods:

  • Prospective recruitment of 192 patients undergoing planned PCI.
  • Measurement of plasma sklotho using ELISA.
  • Development and validation of a prediction nomogram using logistic regression and bootstrapping techniques.

Main Results:

  • CIN was diagnosed in 16.7% of patients.
  • Lower sklotho levels were significantly associated with CIN, alongside age > 75, diabetes, and Mehran risk score.
  • The developed nomogram incorporating sklotho demonstrated strong predictive performance (AUC 0.913), significantly improving upon existing models.

Conclusions:

  • Soluble klotho is a valuable independent predictor of CIN in patients undergoing elective PCI.
  • A lower concentration of sklotho is strongly correlated with an increased risk of developing CIN.
  • The nomogram integrating sklotho offers a practical and effective tool for predicting CIN risk in PCI patients.

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