Organ support & nutrition

Development and validation of clinical prediction models for acute kidney injury recovery at hospital discharge in critically ill adults

J Clin Monit ComputPublished Prediction model development and validation study

Authors' conclusion

Models to predict AKI recovery upon hospital discharge in critically ill patients with AKI-3 showed poor performance in the general ICU population, similar to the biomarker NGAL. In cardiac surgery patients, discrimination was acceptable, and better than NGAL.

Study context

Population
Critically ill adults with ICU-acquired acute kidney injury (AKI) stage 3 (AKI-3), multicentre EPaNIC databasedevelopment 229, validation 244
Comparison
Prediction models vs neutrophil gelatinase-associated lipocalin (NGAL)_AKI3 vs Reference model
Outcome
AKI recovery (complete; complete or partial) — model discrimination (AUROC)
Follow-up
Hospital discharge
Methodological detailsLeast absolute shrinkage and selection operator (Lasso) machine-learning algorithm, matched validation cohort, multicentre database
  • Lasso machine-learning algorithm
  • Matched validation cohort
  • Multicentre database

Performance

As reported in the abstract

Discrimination for AKI recovery, validation cohort
Test or modelAUROC, complete recoveryAUROC, complete or partial recovery
Prediction models0.530.61
NGAL_AKI30.550.53

AUROC, complete recovery

Prediction models0.53
NGAL_AKI30.55

AUROC, complete or partial recovery

Prediction models0.61
NGAL_AKI30.53

Further findings

OutcomePrediction modelsNGAL_AKI3
Discrimination in cardiac patients (subgroup) · hospital discharge
AUROC, complete recovery0.600.52
AUROC, complete or partial recovery0.710.54

Recovery rates, validation cohort · hospital discharge

Complete recovery
33.20%
Complete or partial recovery
51.23%

Discrimination in cardiac patients (subgroup) · hospital discharge

Developed models better than the reference model (age only) for cardiac surgery patients

Original publication

Development and validation of clinical prediction models for acute kidney injury recovery at hospital discharge in critically ill adults. J Clin Monit Comput. Published 9 May 2022. doi:10.1007/s10877-022-00865-7

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