Factors Affecting Energy Metabolism and Prognosis in Patients with Amyotrophic Lateral Sclerosis.

BACKGROUND/AIMS: Nutritional status is a factor affecting prognosis in patients with amyotrophic lateral sclerosis (ALS). Here, we aimed to clarify the factors associated with hypermetabolism and the prognosticators of ALS. METHODS: Forty-two inpatients (22 men, 20 women) diagnosed with ALS according to the revised El-Escorial criteria were investigated. The following data were retrospectively analyzed: anthropometric measurements, blood biochemistry, disease severity, basal energy expenditure (BEE), resting energy expenditure (REE) measured by indirect calorimetry, spirometry, and bioelectrical impedance analysis. Single and multiple regression analysis was performed to examine factors affecting REE and metabolic changes (defined as the ratio of REE to fat-free mass [FFM]). The Kaplan-Meier method was used to examine factors associated with the occurrence of cumulative events (death or tracheostomy). RESULTS: Among the 42 inpatients, REE was significantly higher than BEE, indicating hypermetabolism in ALS. Multiple regression analysis revealed that REE/FFM is strongly associated with the skeletal muscle index (-3.746 to -1.532, p < 0.0001) and percent forced vital capacity (%FVC) (-0.172 to -0.021, p = 0.013). Moreover, both the skeletal muscle index and %FVC were significant prognosticators associated with the occurrence of cumulative events. CONCLUSIONS: Energy metabolism was elevated in ALS, and respiratory status and muscle mass were associated with the hypermetabolism and poor prognosis. Adequate nutritional support may improve outcomes in ALS by preventing deterioration of respiratory status and reduction in muscle mass.

Impact of obesity on underreporting of energy intake in type 2 diabetic patients: Clinical Evaluation of Energy Requirements in Patients with Diabetes Mellitus (CLEVER-DM) study.

BACKGROUND & AIMS: Although accurate assessment of energy intake (EI) is critical in diabetes care, underreporting of EI on dietary records (DR) is often an issue. However, few studies have examined EI with doubly labeled water (DLW) in patients with diabetes mellitus. We aimed to investigate the impact of sex and obesity on the dissociation of DR from total energy expenditure (TEE) evaluated with DLW in patients with type 2 diabetes. METHODS: Fifty-two patients with type 2 diabetes aged 60-79 years were enrolled for the Clinical Evaluation of Energy Requirements in Patients with Diabetes Mellitus (CLEVER-DM) study at a single university hospital. TEE was measured over 14 days by the DLW method as standard. EI was calculated by assessment of 3-day DR by registered dietitians. RESULTS: The mean difference between EI and TEE was 238 ± 412 kcal/day (~10% of TEE). Neither EI nor TEE was significantly different between obese (body mass index (BMI) ≥25 kg/m2) and non-obese (BMI <25 kg/m2) patients. There was a negative correlation between EI/TEE ratio and BMI in women (R = -0.437, P = 0.033) but not in men (R = -0.174, P = 0.377). There was a significant difference in EI/TEE ratio between obese and non-obese patients among women (0.85 ± 0.15 vs. 1.01 ± 0.21, P = 0.045) but not men (0.85 ± 0.20 vs. 0.87 ± 0.17, P = 0.79). CONCLUSIONS: EI calculated by 3-day DR may underestimate habitual intake, which is assumed to be equal to TEE measured by the DLW method except in non-obese women with diabetes. CLINICAL TRIAL REGISTRATION NUMBER: UMIN000023051.

Energy Metabolism and Nutritional Status in Hospitalized Patients with Chronic Heart Failure.

INTRODUCTION: Malnutrition is a factor that defines vital prognosis in chronic heart failure. OBJECTIVE: This study investigated nutritional and metabolic disorders in patients with heart failure by examining the association of severity of heart failure with inflammatory cytokines, appetite-regulating hormones, and energy metabolism. METHODS: Subjects were 50 patients with heart failure. On admission, nutritional status was assessed, and biochemical blood tests were performed, including for serum tumor necrosis factor-α, interleukin-6, ghrelin, and leptin levels. Resting energy expenditure (REE) was also measured by indirect calorimetry to examine its association with severity of heart failure and levels of inflammatory cytokines and appetite-regulating hormones. RESULTS: There were significant associations between serum brain natriuretic peptide (BNP) level and nutrition indices, indicating that nutritional status was worse when heart failure was more severe. Inflammatory cytokine levels showed significant positive correlations with BNP level. Measured REE/bodyweight was not associated with severity of heart failure, but was negatively correlated with body fat percentage and leptin levels. CONCLUSIONS: Energy metabolism was not associated with serum BNP level among patients with heart failure with New York Heart Association functional class up to III. Body fat percentage and leptin levels may be a good predictor of energy metabolism in patients with heart failure.