Table 1.

Modeling variables used in various clinical models

CharacteristicReduceda ATN ModelLASSO ModelStepwise ModelParsimonious Model
MortalityRecoveryMortalityRecoveryMortalityRecovery
AgeAgeAgeAgeAgeAgeAgeAge
Chronic hypoxemiaMechanical ventilationMechanical ventilationMechanical ventilationMechanical ventilationMechanical ventilationMean arterial pressureMean arterial pressure
Cardiovascular diseaseArterial pH (Z-score)Arterial pH (Z-score)Arterial pH (Z-score)Arterial pH (Z-score)Arterial pH (Z-score)Mechanical ventilationMechanical ventilation
MalignancyTotal bilirubinTotal bilirubinTotal bilirubinTotal bilirubinTotal bilirubinTotal bilirubinTotal bilirubin
Immunosuppressive therapyMean arterial pressureMean arterial pressureMean arterial pressurePlateletsPlatelets
Ischemic AKIPlateletsPlateletsPlateletsMean arterial pressureOliguria
Postsurgery at RRT initiationTotal APACHE II scoreTotal APACHE II
Heart rateImmunosuppressive therapyOliguria
Mean arterial pressure
Urine volume
Mechanical ventilation
Fraction of inspired oxygen ≥0.6
Interaction of mechanical ventilation and fraction of inspired oxygen ≥60%
Arterial pH (Z-score)
Arterial oxygen partial pressure
Serum creatinine
Serum bicarbonate
Serum phosphate
Serum albumin
Total bilirubin
International normalized ratio
Platelet count
  • ATN, Acute renal failure Trial Network; LASSO, least absolute shrinkage and selection operator; APACHE, Acute Physiology and Chronic Health Evaluation.

  • a ATN variables that were significant at P<0.05 in a multivariable logistic analysis in the Biologic Markers of Recovery for the Kidney cohort.