Validation of predictive equations for resting energy expenditure in children and adolescents with different body mass indexes.

BACKGROUND: Accurate estimation of resting energy expenditure (REE) in children and adolescents is important to establish estimated energy requirements. The objective of this study was to assess the validity of existing equations in literature and a newly developed equation in estimating REE in children and adolescents. METHODS: 275 participants (148 boys, 127 girls) aged 6-18 years included in the study were classified as normal-weighted, overweight, obese based on BMI z-scores for age according to WHO-2007 growth curves for 5-19 years of age. REEs were measured using an indirect calorimeter, with various equations, and a newly established equation [REE = 505.412+(24.383*FFM);Adjusted R2 = 0.649] were compared with REE measured using Bland-Altman and further validation parameters. RESULTS: When the predicted REEs were compared with the measured REEs, the highest prediction accuracy was achieved using the new Eq. (64.8%) and IOM (63.8%) for normal-weight participants, Müller FFM and new Eq. (59.6%) for overweight participants and Lazzer (44.9%) for obese participants. In normal and overweight participants, lowest root mean squared error (RMSE) values were acquired from Schmelzle's equation (respectively 136.2;159.9 kcal/d), and the highest values were found in Kim's Eq. (315.2; 295.2 kcal/d respectively). RMSE value of the new equation was 174.7 kcal/d for normal-weight children and adolescents, and 201.9 kcal/d for overweight ones. In obese participants, the lowest RMSE value was obtained from Schmelzle's Eq. (305.4 kcal/d) and the new Eq. (317.4 kcal/d), while the highest value was obtained from IOM Eq. (439.9 kcal/d). RMSE was higher in obese groups compared to the other BMI groups. CONCLUSION: Indirect-calorimeter is the most suitable method for REE measurement in especially obese children and adolescents. The new equation and Schmelzle's equation appear to be most accurate equations for normal and overweight children and adolescents.

Obesity, Charlson comorbidity index, and neutrophil-to-lymphocyte ratio in chronic obstructive pulmonary disease: relationship to disease severity.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a common chronic inflammatory lung disease with high mortality and morbidity rates. Obesity, various comorbid diseases, and inflammation often coexist in chronic obstructive pulmonary disease (COPD), exhibiting a complex interaction with disease severity. The aim of the study was to examine the relationship between COPD markers and obesity, the Charlson Comorbidity Index (CCI), and neutrophil/lymphocyte ratio (NLR). METHODS: Eighty male patients with stable COPD admitted to the pulmonology unit were included in the study. The presence of comorbidities was investigated in obese and non-obese individuals with COPD. Pulmonary function tests and the mMRC dyspnea scale were examined, and CCI scores were calculated. RESULTS: 60.9 % with mild/moderate COPD, and 64.7 % with severe COPD had a comorbid disease. The incidence of hypertension and diabetes was significantly higher in obese patients. The obesity rate was 41.3 % in patients with mild/moderate COPD (FEV1 ≥ 50) and 26.5 % in those with severe COPD (FEV1 < 50). There was a positive and significant correlation between CCI value and BMI and mMRC dyspnea scale. NLR was significantly higher in patients with FEV1 < 50 and mMRC ≥ 2. CONCLUSIONS: As a result, it is essential to screen obese patients with COPD, who are among the groups with the highest incidence of comorbidities, in terms of such diseases that exacerbate the symptoms of their disease. Findings may support the potential applicability of simple blood count indices (such as NLR) in the clinical assessment of disease in stable COPD patients (Tab. 4, Fig. 1, Ref. 46).