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Development of a predictive model for risk stratification of acute kidney injury in patients undergoing cytoreductive surgery with hyperthermic intraperitoneal chemotherapy

  • 0Division of Perioperative Informatics, Department of Anesthesiology, University of California San Diego, 200 West Arbor Drive, San Diego, CA, 80203, USA. makrause@health.ucsd.edu.
Scientific Reports +

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March 20, 2024

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March 20, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

A new risk model accurately predicts acute kidney injury (AKI) after hyperthermic intraperitoneal chemotherapy (HIPEC). This tool aids in managing patients undergoing HIPEC, improving surgical and anesthetic decisions for better outcomes.

Area Of Science

  • Nephrology
  • Oncology
  • Surgical Oncology

Background

  • Acute kidney injury (AKI) is a frequent complication following hyperthermic intraperitoneal chemotherapy (HIPEC).
  • Predicting AKI risk is crucial for optimizing perioperative management in patients undergoing HIPEC.

Purpose Of The Study

  • To develop and validate a predictive model for postoperative AKI in patients undergoing HIPEC.
  • To identify key preoperative and intraoperative factors associated with AKI development after HIPEC.

Main Methods

  • Retrospective analysis of 412 adult patients who underwent HIPEC between November 2013 and April 2022.
  • Development of a predictive model using multivariable logistic regression.
  • Model performance assessed using tenfold cross-validation and area under the receiver operating characteristics curve (AUC).

Main Results

  • 36 patients (8.7%) developed postoperative AKI.
  • The final predictive model incorporated intraoperative cisplatin dose, body mass index, male sex, and preoperative hemoglobin.
  • The model achieved a high predictive accuracy with a mean AUC of 0.82 (95% CI 0.71-0.93).

Conclusions

  • A validated risk model can accurately predict AKI in patients undergoing HIPEC.
  • The identified factors provide insights into AKI pathophysiology and prevention strategies.
  • Further validation in independent prospective cohorts is recommended to confirm external validity.

Keywords: