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External validation of the Madrid Acute Kidney Injury Prediction Score

Jacqueline Del Carpio1, Maria Paz Marco1, Maria Luisa Martin1

  • 1Department of Nephrology, Arnau de Vilanova University Hospital, Lleida, Spain.

Clinical Kidney Journal
|November 10, 2021
PubMed
Abstract

Insights

The Madrid Acute Kidney Injury Prediction Score (MAKIPS) effectively predicts hospital-acquired acute kidney injury (HA-AKI) risk in diverse hospital settings. External validation confirmed its utility, demonstrating good performance across different patient populations.

Area of Science:

  • Nephrology
  • Clinical Prediction Models
  • Health Informatics

Background:

  • The Madrid Acute Kidney Injury Prediction Score (MAKIPS) is a novel tool for predicting hospital-acquired acute kidney injury (HA-AKI).
  • External validation of MAKIPS in diverse clinical settings is crucial for its widespread adoption.
  • This study aimed to validate MAKIPS in a tertiary hospital with a distinct patient demographic and case mix.

Purpose of the Study:

  • To externally validate the Madrid Acute Kidney Injury Prediction Score (MAKIPS).
  • To assess the performance of MAKIPS in predicting hospital-acquired acute kidney injury (HA-AKI) in a new clinical environment.
  • To evaluate the generalizability of the MAKIPS tool across different hospital case mixes.

Main Methods:

  • An external validation cohort study was conducted.
  • Patients admitted to a single tertiary hospital between April 2018 and September 2019 were included.
  • Performance was evaluated using discrimination (area under the receiver operating characteristics curve) and calibration plots.

Main Results:

  • The incidence of HA-AKI in the validation cohort was 5.3%.
  • The MAKIPS demonstrated an area under the curve of 0.798 (95% CI 0.788-0.809), indicating good predictive discrimination.
  • Calibration plots revealed a tendency for MAKIPS to overestimate risk at low probabilities (<0.19) and underestimate at moderate probabilities (0.22-0.67).

Conclusions:

  • The MAKIPS is a potentially useful tool for predicting HA-AKI risk.
  • Its performance suggests it can be applied in hospitals with varying case mix characteristics.
  • The score utilizes readily available electronic health record data, facilitating clinical implementation.
Keywords:
acute kidney injuryexternal validationhospital-acquiredpredictionrisk score

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