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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