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[Optimal energy supply in different age groups of critically ill children on mechanical ventilation]
1Department of Pediatric Intensive Care Unit, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China.
Insights
Resting energy expenditure in critically ill children on mechanical ventilation decreases with age. Optimal energy supply should be individualized based on age-specific requirements.
Area of Science:
- Pediatric Intensive Care
- Critical Care Medicine
- Pediatric Nutrition
Background:
- Critically ill children on mechanical ventilation require precise nutritional support.
- Understanding energy expenditure is crucial for optimizing patient outcomes.
Purpose of the Study:
- To analyze resting energy expenditure (REE) in critically ill children on mechanical ventilation.
- To determine optimal energy supply across different pediatric age groups.
- To investigate the relationship between age and metabolic status in this population.
Main Methods:
- Prospective enrollment of 102 mechanically ventilated children in a pediatric intensive care unit (PICU).
- Measurement of REE using a critical care management (CCM) energy metabolism system.
- Categorization into age groups: <3 years, 3-10 years, and >10 years.
- Statistical analysis including correlation, chi-square test, and variance analysis.
Main Results:
- Measured REE correlated with predictive REE across all age groups.
- Metabolic status differed significantly between age groups (P<0.01), with higher metabolism in younger children.
- Actual energy requirements varied significantly by age group (P<0.001), with highest needs in children <3 years.
Conclusions:
- Resting energy metabolism in mechanically ventilated critically ill children is negatively correlated with age.
- Individualized energy requirements based on age are essential for optimal nutritional management.
Abstract:
Objective: To analyze the resting energy expenditure and optimal energy supply in different age groups of critically ill children on mechanical ventilation in pediatric intensive care unit (PICU). Methods: Patients on mechanical ventilation hospitalized in PICU of Beijing Children's Hospital from March 2015 to March 2016 were enrolled prospectively. Resting energy expenditure of patients was calculated by US Med Graphic company critical care management (CCM) energy metabolism test system after mechanical ventilation. Patients were divided into three groups:<3 years, 3-10 years, and >10 years. The relationship between the measured and predictive resting energy expenditure was analyzed with correlation analysis; while the metabolism status and the optimal energy supply in different age groups were analyzed with chi square test and variance analysis. Results: A total of 102 patients were enrolled, the measured resting energy expenditure all correlated with predictive resting energy expenditure in different age groups (<3 years (r=0.3, P=0.0) ; 3~10 years (r=0.6, P=0.0) ;>10 years (r=0.5, P=0.0) ) . A total of 40 cases in < 3 years group, including: 14 cases of low metabolism (35%), 14 cases of normal metabolism (35%), and 12 cases of high metabolism (30%); 45 cases in 3-10 years group, including: 22 cases of low metabolism (49%), 19 cases of normal metabolism (42%), 4 cases of high metabolism (9%); 17 cases in>10 years group, including: 12 cases of low metabolism (71%), 4 cases of normal metabolism (23%), 1 case of high metabolism (6%). Metabolism status showed significant differences between different age groups (χ(2)=11.30, P<0.01, r=-0.01). Infants had higher metabolic status, which lessened with aging. The total average actual energy requirement was (210±84) kJ/ (kg⋅d) . There were significant differences in actual energy requirement between age groups (F=46.57, P<0.001), with (277±77) kJ/ (kg⋅d) in<3 years group, (184±53) kJ/ (kg⋅d) in 3-10 years group, and (120±30) kJ/ (kg⋅d) in>10 years group. Conclusion: The resting energy metabolism of the critically ill children on mechanical ventilation is negatively related to the age. The actual energy requirement should be calculated according to different ages.
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