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Fig. 3 a | BMC Nephrology

Fig. 3 a

From: Electronic health records accurately predict renal replacement therapy in acute kidney injury

Fig. 3 a

(Predictors of Hospital Mortality), Fig. 3 b (Predictors of RRT) Forest plot of multivariate logistic regression showing independent predictors of hospital mortality (Fig. 3a) and RRT (Fig. 3b). 32 EHR variables studied for mortality, and 23 variables for RRT: Demographics [4]: Age, Gender, Medical or Surgical specialties, ICU status on initial AKI diagnosis; Co-morbidities [9]: DM, Hypertension, IHD, PVD, CCF, Liver cirrhosis, Cerebrovascular disease, Solid organ malignancy, Haematological malignancy; Kidney function indices [11]: Baseline eGFR, AKI onset days from admission, Hospital-associated or community-acquired AKI, Biochemistry on AKI diagnosis including serum sodium, potassium, urea, creatinine levels, KDIGO stage 2 or 3 (vs 1) on AKI diagnosis, Delta-serum creatinine, Prior dialysis, Current need for RRT; Acute disease categories – Excluded in RRT prediction model [8]: Pneumonia, Intraabdominal infection, MSK infection, UTI, Acute Cardiac Diseases, Hepatic decompensation, Acute ischaemic stroke, Non-traumatic intra-cranial haemorrhage.

DM = Diabetes Mellitus, IHD = Ischaemic Heart Disease, PVD = Peripheral vascular disease, CCF = Congestive Cardiac Failure

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