Body mass index percentiles versus body composition assessments: Challenges for disease risk classifications in children

The Impact of Paediatric Obesity on Drug Pharmacokinetics: A Virtual Clinical Trials Case Study with Amlodipine

The incidence of paediatric obesity continues to rise worldwide and contributes to a range of diseases including cardiovascular disease. Obesity in children has been shown to impact upon the plasma concentrations of various compounds, including amlodipine. Nonetheless, information on the influence of obesity on amlodipine pharmacokinetics and the need for dose adjustment has not been studied previously. This study applied the physiologically based pharmacokinetic modelling and established a paediatric obesity population to assess the impact of obesity on amlodipine pharmacokinetics in children and explore the possible dose adjustments required to reach the same plasma concentration as non-obese paediatrics. The difference in predicted maximum concentration (Cmax) and area under the curve (AUC) were significant between children with and without obesity across the age group 2 to 18 years old when a fixed-dose regimen was used. On the contrary, a weight-based dose regimen showed no difference in Cmax between obese and non-obese from 2 to 9 years old. Thus, when a fixed-dose regimen is to be administered, a 1.25- to 1.5-fold increase in dose is required in obese children to achieve the same Cmax concentration as non-obese children, specifically for children aged 5 years and above.

Semaglutide treatment for children with obesity: an observational study

OBJECTIVE

To assess efficacy and tolerability of semaglutide as a weight loss treatment for children living with comorbid obesity.

DESIGN

Retrospective observational study of the first 50 children from a weight management service treated with semaglutide for at least 6 months.

SETTING

A tertiary paediatric multidisciplinary weight management clinic in a UK hospital.

PATIENTS

Aged 10-18 years old with a body mass index (BMI) SD score (SDS) >2 with a weight-related comorbidity (including insulin resistance (defined as homeostatic model assessment for insulin resistance >4), type 2 diabetes, metabolic-associated fatty liver disease, obstructive sleep apnoea or hypertension).

INTERVENTIONS

Once-weekly injectable semaglutide titrated over 8 weeks to a final dose of 1 mg in addition to dietary and lifestyle advice.

MAIN OUTCOME MEASURES

Primary outcome measures were change in weight, BMI SDS and percentage body weight. Secondary outcomes were side effects and cessation of treatment.

RESULTS

After 6 months of treatment, statistically significant decreases in BMI SDS (0.32±0.27, p<0.001) and body weight (7.03±7.50 kg, p<0.001) were seen. Mean percentage total weight loss was 6.4±6.3% (p<0.001). For the 14 patients for whom 12-month data were available, statistically significant decreases were seen in mean BMI SDS (0.54±0.52, p<0.001). Mean body weight decreased by 9.7±10.8 kg (p<0.001). Percentage total weight loss at 12 months was 8.9±10.0% (p<0.001). Mild gastrointestinal side effects were common. One patient developed gallstones. Five patients discontinued treatment due to side effects.

CONCLUSION

Semaglutide appears to be a safe and effective weight loss adjunct when used in a multidisciplinary weight management clinic.

Association between BMI z-score and body composition indexes with blood pressure and grip strength in school-age children: a cross-sectional study

Childhood obesity is linked to diverse health outcomes, including elevated blood pressure (EBP). Emerging evidence showed that excess fat mass (FM) may have a deleterious impact on blood pressure even in normal-weight children. The primary objective of this study was to assess the association between body weight status by BMI z-score and body composition parameters by conventional bioelectrical impedance analysis (BIA) and bioelectrical impedance vector analysis (BIVA). Also, we aimed to explore the performance of BMI z-score, %FM, and FM index (FMI) in discriminating EBP in a sample of school-age Mexican children. Children were classified as having normal weight, overweight or obesity according to WHO criteria for BMI z-score. FMI was considered high when above 75th percentile, and fat free mass index (FFMI) was considered low when below 25th percentile of the reference population. Body composition was also classified according to the BIVA method and EBP was determined when systolic and/or diastolic blood pressure ≥ 90th percentile. BMI z-score groups were compared by Student´s t-test or the Mann-Whitney U test, or by the chi-square test or Fisher exact test. Receiving operating characteristic (ROC) analysis was performed. 61 children were included (52.5% boys, median age 9.8 (25th, 75th percentiles: 8.5, 11.0)) years. High FMI was observed in 32.3% of children with normal weight. Low FFMI was present in 93.5% of children with normal weight and 53.3% of those with overweight/obesity. According to BIVA, 58.1% and 43.3% of children with normal weight and overweight/obesity were classified as having cachexia. All the three adiposity indicators showed significant areas under the ROC curve (AURC) greater than 0.775 for EBP, with the largest one displayed for FM% (0.794). Hight FMI and low FFMI are common in children with normal weight. Identifying deficiency of FFM might be limited by using solely BMI indicators. Cachexia by BIVA was present in a high proportion of children with either normal weight or overweight/obesity. Both BMI z-score and FM (% and FMI) performed well at discriminating EBP, with a numerically greater AURC observed for FM%. Body composition in pediatric population is relevant for identifying body composition abnormalities at early age.

Obesity and Body Composition in Relation to Liver and Kidney Ultrasound Elastography in Paediatric Patients with Either Hypertension or Chronic Kidney Disease

(1) Background: Ultrasound elastography is a novel ultrasound technique for evaluating tissue elasticity. One of the key factors influencing the measurement in children is excess weight. This study aimed to evaluate the effect of body composition, namely, fat mass, on liver and kidney ultrasound elastography in paediatric patients. (2) Methods: 114 participants, in whom bioimpedance, along with liver and kidney ultrasound elastography, were performed, were included (37 patients with chronic kidney disease, 46 patients with hypertension, and 31 healthy subjects). (3) Results: Bioimpedance analysis showed a significant correlation between liver elastography parameters and the phase angle (p = 0.002), fat-free mass (p = 0.001), body cell mass (p = 0.001), total body water (p = 0.001), extracellular water (p = 0.006), and, to lesser extent, fat mass (p = 0.041). On the contrary, kidney elastography parameters strongly correlated only with fat mass (p < 0.001 for both kidneys). (4) Conclusions: Liver and kidney stiffness increased in overweight participants and showed significant correlation with fat mass, particularly in the case of kidney elastography.

A Systematic Approach to Treating Early Metabolic Disease and Prediabetes

At least 70% of US adults have metabolic disease. However, less is done to address early disease (e.g., overweight, obesity, prediabetes) versus advanced disease (e.g., type 2 diabetes mellitus, coronary artery disease). Given the burden of advanced metabolic disease and the burgeoning pandemics of obesity and prediabetes a systematic response is required. To accomplish this, we offer several recommendations: (A) Patients with overweight, obesity, and/or prediabetes must be consistently diagnosed with these conditions in medical records to enable population health initiatives. (B) Patients with early metabolic disease should be offered in-person or virtual lifestyle interventions commensurate with the findings of the Diabetes Prevention Program. (C) Patients unable to participate in or otherwise failing lifestyle intervention must be screened to assess if they require pharmacotherapy. (D) Patients not indicated for, refusing, or failing pharmacotherapy must be screened to assess if they need bariatric surgery. (E) Regardless of treatment approach or lack of treatment, patients must be consistently screened for the progression of early metabolic disease to advanced disease to enable early control. Progression of metabolic disease from an overweight yet otherwise healthy person includes the development of prediabetes, obesity ± prediabetes, dyslipidemia, hypertension, type 2 diabetes, chronic kidney disease, coronary artery disease, and heart failure. Systematic approaches in health systems must be deployed with clear protocols and supported by streamlined technologies to manage their population's metabolic health from early through advanced metabolic disease. Additional research is needed to identify and validate optimal system-level interventions. Future research needs to identify strategies to roll out systematic interventions for the treatment of early metabolic disease and to improve the metabolic health among the progressively younger patients being impacted by obesity and diabetes.