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Table 1 Clinical characteristics of the population with AKI on dialysis

From: Proposal of a new equation for estimating resting energy expenditure of acute kidney injury patients on dialysis: a machine learning approach

Patients parameters (n = 114)  
Age (years) 60.6 ± 16.9
Male gender (%) 78 (68.4)
AKI (%)  
 Sepsis-related 93 (81.6)
 ischemic 13 (11.4)
 Nephrotoxic 6 (5.3)
 Mixed 2 (1.8)
 ATN-ISS 0.64 ± 0.18
Race (%)  
 White 98 (86)
 Black 11 (9.6)
 Weight (kg) 77.6 ± 22.4
Main diagnosis  
 CVD 35 (30.7)
 Sepsis, severe sepsis, shock 56 (49.1)
 Neoplasia 9 (7.9)
 Liver diseases 8 (7)
 Trauma 6 (5.3)
 Death 73 (63)
Patients and IC parameters (n = 364)  
 REE using HB (Kcal) 1540 ± 346
 REE using IC (Kcal) 2081 ± 645
 REE using IC (Kcal/kg/d) 27.9 ± 10.4
 VAD (mcg/kg/min) 0.11
  (0.00–0.35)
 MV 8.5 ± 2.8
 Freq. (resp/min) 17 ± 5.2
 PEEP (cm H2O) 6 ± 1.5
 FIO2 (%) 38 ± 10.9
 Temperature (°C) 37.6 ± 0.8
 Urea (mg/dl) 157 ± 73
 WBC (mm3) 17,300 (12,300–25,500)
 PCR (mg/dl) 23.1 (7.6–32.8)
  1. CVD cardiovascular disease, AKI acute kidney injury, ATN-ISS individual severity score in acute tubular necrosis, REE resting energy expenditure, VAD vasoactive drug, FIO2 fraction of inspired oxygen, Mv minute volume, RR respiratory rate, PEEP expiratory positive airway pressure, Creat serum creatinine, WBC white blood-cell count, CRP C-reactive protein