Correlation analysis between resting energy expenditure and nutritional assessment indicators in critically ill children with mechanical ventilation
10.3760/cma.j.cn101070-20190827-00811
- VernacularTitle:机械通气危重症患儿静息能量消耗与营养评估指标相关性分析
- Author:
Hui CHEN
;
Jian JI
;
Suyun QIAN
- From:
Chinese Journal of Applied Clinical Pediatrics
2021;36(1):42-45
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the resting energy expenditure of children with mechanical ventilation and analyze their association with anthropometric indicators (height, weight, and body mass index) and serum protein markers (pre-albumin, albumin, transferrin, and retinol).Methods:An observational study was held in Pediatric Intensive Care Unit(PICU) of Beijing Children′s Hospital, Capital Medical University, from August 2015 to April 2016.Critically ill children with mechanical ventilation were enrolled in this study.Inclusion criteria were as follows: (1)pediatric critical illness score<90 scores or meet the United States PICU admission criteria; (2)age>29 days, <18 years old; (3)mechanical ventilation>24 hours; (4) tidal volume >60 mL.Resting energy expenditure was determined by US Med Graphic Company CCM/D energy metabolism test system.German Famed Zywier intensive care bed with weight scale weighing, uniform measuring bed or meter measuring height, automatic biochemical analyzer and radioimmunoassay was adopted for the determination of albumin, pre-albumin, transferrin, retinol binding protein.SPSS 20.0 software was applied for carrying out Pearson line analysis correlation. Results:A total of 68 children were included in the study, including 36 males and 32 females, body weight (22.34±14.89) kg, height (122.23±14.89) cm, resting energy consumption (784.63±278.25) kcal(1 kcal=4.185 kJ), and resting energy consumption per kilogram of body weight (48.80±31.26) kcal.In anthropometric indicators, resting energy expenditure was significantly positively correlated with height, body weight ( r=0.764, 0.734, all P<0.05), a low positive correlation with body mass index( r=0.396, P<0.05). In serum proteomics, resting energy expenditure was negatively correlated with pre-albumin, transferrin ( r=-0.318, -0.282, all P<0.05), and a moderate negative correlation with retinol protein ( r=-0.505, P<0.05), while without correlation with albumin ( r=-0.075, P>0.05). Conclusions:The height, weight and serum proteomics of children with mechanical ventilation may affect resting energy expenditure.
