Clinico-pathologic profile and outcomes of pediatric endocrine patients managed by endocrine surgeons: Experience over three decades in a tertiary center in India.

BACKGROUND: Pediatric endocrine disorders requiring surgical intervention are rare and so are experienced surgeons dealing with these. The aim of the current study was to investigate disease profile and perioperative outcome of pediatric patients with surgical endocrine disorders in an endocrine surgery unit. METHODS: This retrospective study (Sep 1989-Aug 2019) consisted of pediatric endocrine surgery patients (<18 years) who were managed by a team of pediatric endocrinologists and endocrine surgeons at our center. Patients were divided into three cohorts consisting of a decade each. Clinico-pathologic variables, perioperative events operative and follow-up details were recorded. RESULTS: A total of 332 children were included and their mean age was 14.6 ± 3.9 years (M:F = 1:1.6). Thyroid disorders were most prevalent (59.8%), followed by adrenal (28.2%), parathyroid (10.4%), and pancreas (1.5%). Incidence of benign, malignant, and congenital/developmental disorders were 65.4, 28.1 and 8.3, respectively. Familial association was observed in 8.9% children, which is highest among pheochromocytoma patients. Overall, 201 thyroidectomies + associated procedures, 35 parathyroidectomies, 96 adrenal and paraganglioma resections, and 5 pancreatic procedures were performed. Median hospital stay was 5.6 ± 4.1 days. The number of cases increased significantly over 3 decades. Clinical profile and outcome did not vary except for significant decrease in incidence of malignant pathology (p = 0.04) and increase in VHL cases (p = 0.04) in the last decade though overall increase in familial cases was nonsignificant (p = 0.11). No perioperative mortality was observed except for 3% after adrenalectomy. CONCLUSION: A team of dedicated endocrine surgeons and pediatric endocrinologists is effective in management of pediatric endocrine surgery.

School-time Hyperglycemia and Prolonged Night-Time Hypoglycemia on Continuous Glucose Monitoring in Children With Type 1 Diabetes.

OBJECTIVE: To document glycemic patterns during school and sleep by continuous glucose monitoring system (CGMS) in school-going children with type 1 diabetes. To correlate glycemia with meal composition. METHODS: Patients with type 1 diabetes (n = 22) aged 4 to 19 years were enrolled. Food recording was taught, and a retrospective CGMS sensor was worn by them for 6 to 14 days. Dietary composition and glycemic patterns during school and sleep were analyzed. RESULTS: The mean (SD) of dietary carbohydrate was 62.9 (9.2)% of daily calories (high) and protein 13 (2.5) % (low). Sensor glucose > 180 mg/dL (hyperglycemia) was detected on 73% of 139 school day CGMS records and involved 58 % of the school time. Sensor glucose < 70 mg/dL (hypoglycemia) was present on 45% of 172 nights. Time below range was 20 (25) %. Mean (SD) protein content (g) of dinner was significantly higher when it included lentil (dal) than without [20.4 (9.7) vs 15.3 (8.3); P < 0.001]. Hypoglycemia occurred less often on nights with vs without dal for dinner (42.1% vs 51.7%; P = 0.048). CONCLUSIONS: Hyperglycemia during school hours was notable. The inclusion of lentil (dal) in the night meal in the traditional diet may reduce nocturnal hypoglycemia.

Beyond HbA1c: Identifying Gaps in Glycemic Control Among Children and Young People with Type 1 Diabetes Using Continuous Glucose Monitoring.

OBJECTIVES: To describe continuous glucose monitoring (CGM) derived glycemic variables, and study their association with HbA1c and socio-economic factors in young people with Type 1 diabetes mellitus (T1DM). METHODS: Ninety-two participants [age 15.7 ± 5.0 y (mean ± SD), HbA1c 8.0 ± 1.5% (mean ± SD)] wore a professional CGM sensor for 14 d. RESULTS: Median (IQR) time in range (TIR) was 41 (18)%. Participants spent 41 ± 20% of their day in hyperglycemia (>180 mg/dl), and 14 (13)% in hypoglycemia (<70 mg/dl). High glycemic variability (percent CV >36%) was seen in 92% participants. Older age at diagnosis was associated with higher TIR (ß = 0.267, p = 0.01), lower time above range (TAR) (ß = -0.352, p <0.001), but higher time below range (TBR) (ß = 0.274, p = 0.006). The use of NPH vs. glargine basal insulin was associated with higher TBR (ß = -0.262, p = 0.009) but lower TAR (ß = 0.202, p = 0.041). HbA1c showed negative correlation with TIR (r = -0.449, p <0.001) and TBR (r = -0.466, p <0.001) and positive correlation with TAR (r = 0.580, p <0.001) and mean glucose (r = 0.589, p <0.001). CONCLUSIONS: These data demonstrate wide gaps between the recommended vs. real world glycemic variables in patients with T1DM in this region on multiple daily insulin injections. CGM identifies glycemic variability and complements HbA1c in improving glycemic control.

Basic carbohydrate counting and glycemia in young people with type 1 diabetes in India: A randomized controlled trial.

OBJECTIVES: The aim of this study was to evaluate the effect on glycemic control and acceptability of basic carbohydrate counting (BCC) in children and young adults with type 1 diabetes (T1DM). METHODS: Ninety-two children and young adults (6-25 y of age) with T1DM were randomized to receive either routine nutrition education (RNE), which addressed food groups, glycemic index, and effects of food and exercise on glycemia, or learn BCC with personalized portion size education. A continuous glucose monitoring study and glycosylated hemoglobin (HbA1c) were performed at baseline and after 12 wk. The primary outcome was a change in time-in-range from baseline through 12 wk. A questionnaire on the acceptability of BCC was administered. RESULTS: At 12 wk, there was no significant difference in change in time-in-range between the two groups (BCC group: 1.2 ± 12.2; RNE group: 1.9 ± 12.3; P = 0.786). No significant changes were observed in the percentage of time that blood glucose was >180 or >250 mg/dL; <70 or <54 mg/dL; glycemic variability, percentage of nights with hypoglycemia and HbA1c. In subgroup analysis, there was a significant decrease in HbA1c in the BCC group among participants with higher maternal education (-0.5 versus 0.2, P = 0.042). The total score on the acceptability questionnaire was higher in the BCC group (P = 0.022). CONCLUSION: Among children and young adults in our region with T1DM, BCC provided flexibility in food choices and perception of greater ease of insulin adjustment. Although BCC was equivalent to RNE in terms of glycemic control, larger studies may reveal benefit in outcomes in certain subgroups.