危重病儿童机械通气后静息能量消耗变化

目的了解危重病儿童机械通气后能量代谢状态,探讨机械通气时间及疾病类别对危重病儿童机械通气后能量代谢的影响。方法以50例儿童重症监护病房机械通气后的危重病儿童为研究对象,开始机械通气治疗第1、3、5、7天,采用美国麦加菲营养能量代谢测定系统测定静息能量消耗值,分别记作实测值1、实测值3、实测值5、实测值7;运用Schofield-H邢汀公式计算入选患儿的预测静息能量消耗值。结果50例患儿实测值．和Schofield—HTWT公式预测值分别为（96．80±42．63）和（110．67±38．35）kJ／d。其中35例（70％）患儿的实测值低于90％Schofield—HTwT预测值。22例患儿的实测值,、实测值,、实测值,、实测值,分别为（100．53±50．24）、（113．80±49．19）、（117．99±50．57）、（115．05±50．18）kJ／d,4个不同时间点比较差异无统计学意义（F=1．267,P=0．292）。先天性心脏病儿童和非先天性心脏病儿童实测值,分别为（75．66±31．23）和（113．40±28．40）kJ／d,两不同疾病类别比较差异具有统计学意义（F=10．423,P=0．002）。结论危重病儿童机械通气后大多数呈现低代谢状态;危重病儿童机械通气后的静息能量消耗在开始通气1周内并不随机械通气时间而改变;机械通气后的危重病儿童中,先天性心脏病儿童的静息能量消耗比非先天性心脏病儿童的静息能量消耗明显降低。     

恶性肿瘤患者静息能量代谢研究现状

能量代谢可以反映人体代谢基本情况,不同生理或病理时期机体代谢特征不同.恶性肿瘤负荷状态下,多数患者处于高能耗状态,但也有部分患者静息能量代谢无明显变化,这种改变可能与肿瘤的类型、病理分期、治疗手段及实验方法等因素密切相关.治疗效果对肿瘤患者静息能量消耗可产生不同影响:治疗有效时,患者静息能量消耗可恢复至正常;治疗无效时,患者静息能量代谢无改善甚至能耗量增加.恶性肿瘤患者能量代谢异常的机制可能与机体营养物质代谢异常及相关细胞因子调控有关.

Abstract：

Energy metabolism varies in different periods during the lifetime or in different pathological states. Resting energy expenditure (REE) may increase in some patients with malignant tumors, but may also show no significant difference when compared with healthy people or patients with benign tumors. The alteration of REE may be related to tumor site, pathologic stage, methods of treatment, and/or laboratory tests. The efficacy of a certain therapy may also affect REE in patients with malignant tumors: when a therapy is effective, the value of REE can return normal; however, when the treatment fails, REE will not be improved or become even higher.Mechanism governing the abnormalities of REE in patients with malignant tumors may be associated with the abnormal nutrition metabolism and the regulations of relevant cytokines.     

Resting energy expenditure in patients with alcoholic hepatitis

Patients with alcoholic hepatitis are typically malnourished. A hypermetabolic state would explain, at least in part, the muscle wasting observed in these patients. However, data on hypermetabolism in liver disease are limited and conflicting. In this study, we evaluated measured energy expenditure (MEE) vs predicted energy expenditure (PEE), and MEE in relation to urinary creatinine excretion in 20 patients with moderate and severe alcoholic hepatitis, and 20 controls. Patients with alcoholic hepatitis had depressed creatinine height index (moderate 66%, severe 78%) demonstrating muscle depletion. Patients with alcoholic hepatitis also had depressed mean serum albumin concentrations, the moderate group 2.6 g/dl and the severe group 2.0 g/dl. The mean values for measured energy expenditure in moderate alcoholic hepatitis patients, severe alcoholic hepatitis patients, and the control group were: 1556 kcal, 1878 kcal, and 1943 kcal, respectively. The mean measured energy expenditures per g of creatinine for the same groups were: 1520 kcal, 1813 kcal, and 1043 kcal, respectively. The mean measured energy expenditure/predicted energy expenditure ratio was not increased in alcoholic hepatitis patients compared to controls. However, when related to urinary creatinine excretion, the alcoholic hepatitis patients had a mean measured energy expenditure that was 55% higher than controls. In conclusion, whereas the measured energy expenditure to predicted energy expenditure ratio was not elevated in alcoholic hepatitis patients compared to controls, the measured energy expenditure per gram of creatinine was significantly increased in alcoholic hepatitis patients, supporting the concept of alcoholic hepatitis as a hypermetabolic state.     

肥胖儿童静息能量消耗的初步研究

目的　应用能量代谢仪测定肥胖儿童的静息能量消耗情况,以探讨安静状态下代谢水平与儿童肥胖的关系,同时比较各预测公式的准确性。方法　选取2014年7月至2015年9月在本院儿童保健科就诊的年龄在7～14周岁的儿童。应用间接测热法测静息能量消耗,应用生物电阻抗法测体脂、去脂体质量等体成分。以预测公式值与实测值误差在±10%之内为可以接受的“准确”,超过10%为“高估”,低于10%为“低估”。结果　共纳入研究对象72例,其中超重/肥胖组42例,平均年龄(10.4±1.7)岁,体质量指数(24.76±3.16)kg/m2;对照组共30例,平均年龄(10.4±2.0)岁,体质量指数(15.07±2.11)kg/m2。静息能量消耗以kJ/(kg·d)表示,校正性别、年龄的影响因素后肥胖组儿童每天静息能量消耗［(116.45±20.46)kJ/(kg·d)］明显低于对照组［(138.49±38.77) kJ/(kg·d)］(P=0.000)。各预测公式准确性尚无一致性定论,研究对象实测值与Harris-Benedict、Schofield、WHO、Mifflin、Cunningham、Liu、Jia公式完全符合的准确率分别为50%、47.6%、42.9%、47.6%、33.3%、42.9%、40.5%。结论　肥胖儿童静息能量消耗低于正常儿童,与间接测热法比较,各预测公式准确性均较差。     

Resting energy expenditure in children with neonatal chronic lung disease and obstruction of the airways

Children with history of broncho-pulmonary dysplasia (BPD) often suffer from growth failure and lung sequelae. The main objective of this study was to test the role of pulmonary obstruction on resting energy expenditure (REE) and nutritional status in BPD. Seventy-one children with BPD (34 boys and 37 girls) and 30 controls (20 boys and 10 girls) aged 4-8 years were enrolled. Body composition was assessed by bio-impedancemetry measurements; REE was measured by indirect calorimetry. Predicted REE was calculated using the Schofield equation. The population of children with BPD was divided into three groups: children without obstruction of the airways, children with moderate obstruction of the airways, and children with severe obstruction. Children with BPD were significantly smaller and leaner than controls. Altered body composition (reduction of fat mass) was observed in BPD children that suffered from airway obstruction. REE was significantly lower in children with BPD compared to controls, but when adjusted for weight and fat-free mass no significant difference was observed irrespective of pulmonary status. Airway obstruction in children with BPD does not appear to be associated with an increased REE. Moreover altered REE could not explain the altered nutritional status that is still observed in BPD in later childhood. This supports the hypothesis that body composition and pulmonary function in BPD in later childhood are fixed sequelae originating from the neonatal period.     

Resting energy expenditure in asymptomatic HIV-infected females

The purpose of this study was to investigate whether resting energy expenditure (REE) is elevated in early, asymptomatic human immunodeficiency virus (HIV)-infected females and to study the contribution of a cytokine, tumor necrosis factor-alpha (TNF-alpha), to hypermetabolism. Cross-sectional comparison of REE in asymptomatic HIV+ females and a control group matched for age, body mass index (BMI), and fat-free mass (FFM). Twenty-six females aged 35 +/- 7 years (10 HIV+ [mean CD4+ T cell count 636/mm3] and 16 healthy controls) participated in this study. REE was measured by indirect calorimeter using a Deltatrac ventilated hood with a continuous rate of 40 L/min for 30 minutes after a 40-minute equilibrium period. All tests were performed after a 12-hour overnight fast. Twenty-four-hour urinary nitrogen was calculated to correct for respiratory quotient. Body composition was measured by bioelectrical impedance (BioAnalogics, Beaverton, OR). TNF-alpha was measured by ELISA (R & D Systems, Minneapolis, MN). Absolute REE was 17% higher (1755 kcal/kg +/- 410 versus 1497 kcal/kg +/- 197) in the HIV+ group compared with the control group (p < 0.05). REE remained significantly higher in the HIV+ group when REE was adjusted for body composition differences (p = 0.04). Results revealed a 23% higher level of TNF-alpha in the HIV+ subjects (p < 0.01); however, only a weak correlation existed between TNF-alpha and REE (r = .352). This study documented that hypermetabolism and elevated TNF-alpha exist in HIV+ females in the early stages of disease.     

Resting energy expenditure in cancer patients.

In this review, we provide evidence based on our studies, for zinc deficiency and cell mediated immune disorders, and the effects of protein and zinc status on clinical morbidities in patients with head and neck cancer. We investigated subjects with newly diagnosed squamous cell carcinoma of the oral cavity, oropharynx, larynx, and hypopharynx. Patients with metastatic disease and with severe co-morbidity were excluded. Nutritional assessment included dietary history, body composition, and prognostic nutritional index (PNI) determination. Zinc status was determined by zinc assay in plasma, lymphocytes, and granulocytes. Pretreatment zinc status and nutritional status were correlated with clinical outcomes in 47 patients. Assessment of immune functions included production of TH1 and TH2 cytokines, T cell subpopulations and cutaneous delayed hypersensitivity reaction to common antigens.

At baseline approximately 50% of our subjects were zinc-deficient based on cellular zinc criteria and had decreased production of TH1 cytokines but not TH2 cytokines, decreased NK cell lytic activity and decreased proportion of CD4+ CD45RA+ cells in the peripheral blood. The tumor size and overall stage of the disease correlated with baseline zinc status but not with PNI, alcohol intake, or smoking. Zinc deficiency was associated with increased unplanned hospitalizations. The disease-free interval was highest for the group which had both zinc sufficient and nutrition sufficient status.

Zinc deficiency and cell mediated immune dysfunctions were frequently present in patients with head and neck cancer when seen initially. Zinc deficiency resulted in an imbalance of TH1 and TH2 functions. Zinc deficiency was associated with increased tumor size, overall stage of the cancer and increased unplanned hospitalizations. These observations have broad implications in the management of patients with head and neck cancer.     

Resting and sleeping energy expenditure in the elderly

An estimate of a patient's energy needs is usually derived from equations, which predict energy expenditure (EE) by considering sex, age and body weight. Due to the increasing number of elderly people in a hospital population, more data on energy requirements in this age-group are needed. In this study resting energy expenditure (REE) of 40 healthy men and women, aged 51-82 years, was measured using a ventilated hood system. The results showed that some commonly used prediction equations underestimated REE by approximately 6 per cent. REE was highly correlated with fat free mass (FFM) (r = 0.88; P less than 0.001) and body weight (r = 0.85; P less than 0.001). A stepwise multiple regression analysis showed that the combination of body weight, sex and age resulted in the best prediction for REE; REE (kcal) = 1641 + 10.7 weight (kg)--9.0 age (years)--203 sex (1 = male, 2 = female) (r = 0.92). However, REE of an individual may be over- or underestimated by +/- 225 kcal (10-20 per cent) due to large between-subject variations. We suggest therefore that the energy requirements of elderly people should be measured rather than predicted. Due to small within-subject variations (including measurement error) a single REE measurement would suffice. Sleeping energy expenditure (SEE) was 7 per cent lower than REE.     

Resting energy expenditure, activity energy expenditure and total energy expenditure at age 91-96 years

There is a limited knowledge concerning energy requirements of the elderly, especially the oldest old (> 80 years). Energy requirements should be estimated from measurements of energy expenditure. For this purpose twenty-one free-living individuals (eight males, thirteen females) aged 91-96 years living in G?teborg, Sweden were studied. Total body water (TBW) measured by the doubly-labelled-water (DLW) technique was 29.5 (sd 5.4) kg in females and 35.6 (sd 4.3) kg in males. TBW measured using bioelectric impedance (BIA) was 31.6 (sd 6.4) kg in females and 42.0 (sd 7.4) kg in males. The mean difference between TBW measured by BIA and that measured by DLW was 3.54 (sd 3.6) kg (P = 0.0002). Resting metabolic rate (RMR) was measured using a ventilated-hood system and averaged 5.36 (sd 0.71) MJ/d in females (n 12) and 6.09 (sd 0.91) MJ/d in males (n 8). Difference between measured RMR and predicted BMR (n 20) was 0.015 (sd 0.86) MJ/d (NS). Total energy expenditure (TEE) measured by DLW averaged 6.3 (sd 0.81) MJ/d in females and 8.1 (sd 0.73) MJ/d in males. Activity energy expenditure (TEE - RMR), thus including diet-induced thermogenesis (DIT), averaged 0.95 (sd 0.95) MJ/d in females (n 12) and 2.02 (sd 1.13) MJ/d in males. Physical activity level (TEE/BMR) averaged 1.19 (sd 0. 19) in females and 1.36 (sd 0.21) (P = 0.08) in males. If DIT is assumed to be 10 % of the TEE, energy spent on physical activity will be very low in this population.     

Resting energy expenditure in children and adolescents: agreement between calorimetry and prediction equations

BACKGROUND AND AIMS: To assess the degree of agreement between indirect calorimetry and five equations commonly used to predict resting energy expenditure (REE) in obese and non-obese children and adolescents. METHODS: In 116 children and adolescents (57 obese and 59 non-obese) aged between 7.8 and 16.6 years, REE was measured (MREE) by open-circuit indirect calorimetry under standardized conditions. REE was predicted (PREE) in all subjects with equations from the Food and Agriculture/World Health Organization/United Nations University (FAO/WHO/UNU), Maffeis et al., Harris and Benedict, and two from Schofield: one using weight (W) and one using height and weight (H-W). Agreement between indirect calorimetry and equations was assessed following the Bland-Altman method. RESULTS: In the entire cohort group, only data from FAO/WHO/UNU, Schofield-W and Schofield-HW equations showed non-statistic differences against calorimetry results. When agreement between equations and calorimetry was tested, Schofield-HW equation showed the lowest mean MREE-PREE difference: 3.7 kcal/d (limits of agreement -293 and 300 kcal/d; 95% confidence interval for the bias -24.0 to 31.5 kcal/d) and the best agreement. Group by group, equations which obtained the best agreement were: FAO/WHO/UNU in girls, Schofield-HW in boys, Schofield-HW in obese, and Schofield-W in non-obese. CONCLUSIONS: Until more accurate prediction equations are developed, we recommend Schofield-HW equations for REE studies with a mixed population of obese and non-obese children and adolescents; however, FAO/WHO/UNU equation may also be useful in girls and Schofield-W equation in non-obese children.     

Resting and total energy expenditure in patients with inflammatory bowel disease

Patients with inflammatory bowel disease often present with weight loss. Among possible causes, an elevated energy expenditure has frequently been suggested but is the least documented. In this study resting metabolic rate (RMR) and total daily energy expenditure (TDEE) were measured in 15 outpatients with inflammatory bowel diseases and in eight healthy control subjects. Measured RMR as a percentage of that predicted from fat-free mass was not significantly different for control subjects (102 +/- 9.8%, mean +/- SD) and patients (100 +/- 13.3%). TDEE, expressed as a multiple of RMR, was 1.70 +/- 0.31 for control subjects and 1.78 +/- 0.24 for patients. When patients were subgrouped as greater than or equal to 90% or less than 90% desirable body weight, a mean increase over RMR predicted from fat-free mass was seen in the underweight patients (106 +/- 9.3%) but not in normal-weight patients (99.0 +/- 15.6%). Mean TDEE/RMR values for the patient subgroups were 1.70 +/- 0.30 and 1.88 +/- 0.08, respectively. We conclude that stable outpatients with inflammatory bowel disease have only a minimal increase in energy needs.     

Resting energy expenditure of patients with gynecologic malignancies.

To evaluate resting energy expenditure compared to predicted energy expenditure in patients with cervical or ovarian carcinoma who require specialized nutritional support.

Women with biopsy-proven cervical or ovarian carcinoma referred to the Nutrition Support Service were studied. Resting energy expenditure was measured by indirect calorimetry and compared to predicted energy expenditure (PEE) as determined by the Harris-Benedict equation for females.

Sixty one patients were studied. Patients with ovarian cancer (n = 31) had a significantly higher measured resting energy expenditure (% PEE) than patients with cervical cancer (109 +/? 18% vs. 98 +/? 16%, p < 0.02, respectively). This difference in measured resting energy expenditure between groups could not be explained by differences in the extent of disease, nutritional status, body temperature, or nutrient intake between groups. A greater proportion of patients with ovarian cancer were hypermetabolic (> 110% of predicted) in comparison to patients with cervical cancer (55% vs. 13%, p < 0.01, respectively). Measured resting energy expenditure varied between 53% and 157% of predicted for the entire population.

Ovarian cancer patients are more hypermetabolic than cervical cancer patients. The Harris-Benedict equation for females is a unreliable estimate of caloric expenditure in patients with cervical or ovarian cancer receiving specialized nutritional support.     

Resting energy expenditure in patients with chronic obstructive pulmonary disease

Resting energy expenditure (REE) was measured in 68 patients with stable chronic obstructive pulmonary disease (COPD) and in 34 weight-stable, age-matched (65 +/- 8 y; means +/- SD) healthy control subjects. Fat-free mass (FFM) determined by bioelectrical resistance explained 84% of the variation in REE in the control group but only 34% in the COPD patients. REE could not reliably be predicted from regression equations either developed in healthy subjects or in COPD patients. REE adjusted for FFM was significantly higher (P less than 0.05) in weight-losing (n = 34) than in weight-stable (n = 34) patients (6851 +/- 781 and 6495 +/- 650 kJ/d, respectively). Pulmonary function was more compromised in weight-losing patients. Adjusted REE in weight-stable patients was significantly higher (P less than 0.01) than in the healthy control group (6131 +/- 405 kJ/d). In patients with COPD, factors in addition to FFM are important determinants of REE. A disease-related increase in REE develops, which may contribute to weight loss in COPD in combination with a lack of an adaptive response to undernutrition in weight-losing patients.     

Resting energy expenditure and its determinants in hemodialysis patients

OBJECTIVE: Chronic kidney disease is associated with several metabolic disturbances that can affect energy metabolism. As resting energy expenditure (REE) is scarcely investigated in patients on hemodialysis (HD) therapy, we aimed to evaluate the REE and its determinants in HD patients. DESIGN: Cross-sectional study. SETTING: Dialysis Unit of the Nephrology Division, Federal University of S?o Paulo, Brazil. SUBJECTS: The study included 55 patients (28 male, 41.4+/-12.6 years old) undergoing HD therapy thrice weekly for at least 2 months, and 55 healthy individuals pair matched for age and gender. Subjects underwent fasting blood tests, as well as nutritional assessment, and the REE was assessed by indirect calorimetry. RESULTS: REE of HD patients was similar to that of pair-matched controls (1379+/-272 and 1440+/-259 kcal/day, respectively), even when adjusted for fat-free mass (P=0.24). REE of HD patients correlated positively with fat-free mass (r=0.74; P<0.001) and body mass index (r=0.37; P<0.01), and negatively with dialysis adequacy (r=-0.46; P<0.001). No significant univariate correlation was found between REE and age, dialysis vintage, serum creatinine, urea, albumin, bicarbonate, parathyroid hormone (PTH) or high-sensitivity C-reactive protein (CRP). In the multiple linear regression analysis, using REE as dependent variable, the final model showed that besides the well-recognized determinants of REE such as fat-free mass and age, PTH and CRP were the independent determinants of REE in HD patients (R (2)=0.64). CONCLUSIONS: In this study, the REE of HD patients was similar to that of healthy individuals, even with the positive effect of secondary hyperparathyroidism and inflammation on REE of these patients.     

Resting energy expenditure in patients with newly detected gastric and colorectal cancers

Resting energy expenditure (REE) was measured in 104 patients with newly detected gastric or colorectal (GCR) cancer and was compared with two groups of control subjects without cancer: healthy subjects (H control subjects) and patients with nonmalignant diseases of the gastrointestinal tract (GI patients). REE in GCR-cancer patients was not significantly different from REE in GI patients or H control subjects. Comparison of measured REE with predicted REE obtained from prediction equations may erroneously suggest that increased REE is a contributing factor in the development of cancer cachexia. No significant differences in REE were found when patients with liver metastases were compared with patients without metastases. There were no differences in REE between gastric and colorectal cancer patients. The decrease in energy expenditure, which normally occurs during starvation and weight loss in healthy men and women, could not be demonstrated in weight-losing, GCR-cancer patients. In conclusion, elevation of REE contributes little to the pathogenesis of cancer cachexia in GCR-cancer patients.