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Table 1 Baseline characteristics of matched patients in the time course study

From: Effect of withholding early parenteral nutrition in PICU on ketogenesis as potential mediator of its outcome benefit

Baseline characteristics

Early-PN (nā€‰=ā€‰47)

Late-PN (nā€‰=ā€‰49)

P value

Age (years)ā€”median [IQR]2

4.3 [0.2ā€“8.4]

3.5 [0.4ā€“11.6]

0.4

Ageā€‰<ā€‰1ā€‰yearā€”no. (%)

16 (34.0)

18 (36.7)

0.8

Male sexā€”no. (%)

28 (59.5)

34 (69.3)

0.3

Weight (kg)ā€”median [IQR]2

15.0 [4.7ā€“24.0]

14.0 [5.6ā€“34.0]

0.5

STRONGkids risk levelā€”no. (%)1

Ā Ā 

1

ā€ƒMedium (1ā€“3)

44 (93.6)

46 (93.8)

Ā 

ā€ƒHigh (4, 5)

3 (6.3)

3 (6.1)

Ā 

PIM2 calc. risk of death (%)ā€”median [IQR]2

0.20 [0.08ā€“0.37]

0.16 [0.06ā€“0.33]

0.6

Emergency admissionā€”no. (%)

16 (34.0)

15 (30.6)

0.8

Centerā€”no. (%)

ā€ƒLeuven

25 (53.1)

26 (53.0)

Ā 

ā€ƒRotterdam

22 (46.8)

23 (46.9)

Ā 

ā€ƒEdmonton

0 (0)

0 (0)

Ā 

Diagnostic groupā€”no. (%)

ā€ƒSurgical

ā€ƒā€ƒAbdominal

0 (0)

2 (4.08)

Ā 

ā€ƒā€ƒBurns

0 (0)

0 (0)

Ā 

ā€ƒā€ƒCardiac

16 (34.0)

18 (36.7)

Ā 

ā€ƒā€ƒNeurosurgery-traumatic brain injury

8 (17.0)

7 (14.2)

Ā 

ā€ƒā€ƒThoracic

0 (0)

0 (0)

Ā 

ā€ƒā€ƒTransplantation

4 (8.5)

2 (4.1)

Ā 

ā€ƒā€ƒOrthopedic surgery-trauma

3 (6.3)

0 (0)

Ā 

ā€ƒā€ƒOthers

1 (2.1)

0 (0)

Ā 

ā€ƒMedical

ā€ƒā€ƒCardiac

2 (4.2)

5 (10.2)

Ā 

ā€ƒā€ƒGastrointestinal-hepatic

0 (0)

0 (0)

Ā 

ā€ƒā€ƒOncologic-hematologic

0 (0)

1 (2.0)

Ā 

ā€ƒā€ƒNeurologic

1 (2.1)

3 (6.1)

Ā 

ā€ƒā€ƒRespiratory

5 (10.6)

7 (14.2)

Ā 

ā€ƒā€ƒOthers

7 (14.8)

4 (8.1)

Ā 

Condition on admissionā€”no. (%)

ā€ƒNeed for hemodynamic assist device

1 (0.02)

1 (0.02)

0.2

ā€ƒPresence of infection

26 (55.3)

24 (48.9)

0.5

  1. 1Scores on the Screening Tool for Risk on Nutritional Status and Growth (STRONGkids) range from 0 to 5, with a score of 0 indicating a low risk of malnutrition, a score of 1 to 3 indicating medium risk, and a score of 4 to 5 indicating high risk. 2Pediatric index of mortality 2 (PIM2) is a severity scoring system for predicting outcome of patients admitted to pediatric intensive care units