Sriram, Swetha

Obesity in children is associated with several co-morbidities including dyslipidemia. Obstructive sleep apnea (OSA) is commonly seen in obese children. In adults, diagnosis of OSA independent of obesity is associated with cardiometabolic risk factors including dyslipidemia. There is limited data on the impact of treatment of OSA on lipids in children. The objective of the study was to examine the impact of treatment of OSA on lipids in 24 obese children. Methods: Seventeen children were treated with continuous positive airway pressure (CPAP) and five underwent adenotonsillectomy. Mean apnea hypopnea index prior to treatment was 13.0 + 12.1 and mean body mass index (BMI) was 38.0 + 10.6 kg/m2. Results: Treatment of OSA was associated with improvement in total cholesterol (mean change = −11 mg/dL, p < 0.001), and low-density lipoprotein cholesterol (mean change = –8.8 mg/dL, p = 0.021). Conclusion: Obese children should be routinely screened for OSA, as treatment of OSA favorably influences lipids and therefore decreases their cardiovascular risk.

The term disappearing HDL syndrome refers to development of severe high density lipoprotein cholesterol (HDL-C) deficiency in noncritically ill patients with previously normal HDL-C and triglyceride levels. Autoimmune lymphoproliferative syndrome (ALPS) is a disorder of the immune system due to an inability to regulate lymphocyte homeostasis resulting in lymphadenopathy and hepatosplenomegaly. We describe a 17-year-old boy who was evaluated in the lipid clinic for history of undetectable or low HDL-C and low density lipoprotein cholesterol (LDL-C) levels. Past medical history was significant for ALPS IA diagnosed at 10 years of age when he presented with bilateral cervical adenopathy. He was known to have a missense mutation in one allele of the FAS protein extracellular domain consistent with ALPS type 1A. HDL-C and LDL-C levels had been undetectable on multiple occasions, though lipids had not been measured prior to the diagnosis of ALPS. He had been receiving sirolimus for immunosuppression. The HDL-C and LDL-C levels correlated with disease activity and improved to normal levels during times when the activity of ALPS was controlled. This case highlights the importance of considering ALPS as a cause of low HDL-C and LDL-C levels in a child with evidence of lymphoproliferation.

AbstractBackgroundChildhood obesity is underdiagnosed in primary care practices. Our study aimed to compare rates of documentation of diagnosis of obesity and counselling for nutrition and physical activity at an academic primary care practice prior to and following implementation of a body mass index (BMI)‐based electronic point of care clinical reminder tool.MethodsWe performed a retrospective record review of children aged 2–18 years undergoing well child visits during any of three calendar years (2009, 2011 and 2013). The electronic clinical reminder tool was implemented in September 2010. Records of children with BMI > 95th percentile were electronically searched for terms of documentation of diagnosis of obesity and nutrition and physical activity counselling. Multivariable logistic regression models were used to adjust for potential patient and provider confounders.ResultsAmong those with BMI ≥ 95th percentile, there was a statistically significant increase in documentation of diagnosis of obesity (45.5% in 2009 vs. 52.4% in 2011; P < 0.001; adjusted odds ratio 1.36; 95% CI 1.13–1.65) and in counselling for physical activity and nutrition (66.8% in 2009 vs. 75.2% in 2011; P < 0.001; adjusted odds ratio 1.33; 95% CI 1.06–1.66) following implementation of the tool. Compared with 2011, there was no statistically significant increase in documentation of obesity (50.4%) or nutrition and physical activity counselling (77.9%) in 2013.ConclusionsThe implementation of a point of care clinical reminder tool was associated with improvement in documentation of diagnosis of obesity and counselling for nutrition and physical activity. Further studies are needed to determine the impact of these automated tools on weight outcomes in children.