Fig. 5
From: Electronic health records accurately predict renal replacement therapy in acute kidney injury
(Decision Tree Model for RRT). This can be used as a triage tool with probability of RRT calculated at each branch based on key risk factors. For example, individuals with delta-sCr > 148 μmol/L, younger than 82 years, and had IHD, 23 out of 28 of them required RRT. The factors identified that favoured decision for RRT included delta-sCr ≥ 148 μmol/L, younger age cut-offs, presence of IHD, baseline eGFR < 112 ml/min/1.73 m2, sCr and serum urea at AKI onset < 90 μmol/L and ≥ 7.2 mmol/L respectively, and different timings of AKI onset days from admission. Balanced accuracy of the model is 70.4%. Positive Predictive Value of 0.97, Negative Predictive Value of 0.78. RRT = Renal Replacement Therapy, IHD = Ischemic Heart Disease