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Objectives The role of insulin sensitivity (IS) in the development and progression of metabolic syndrome (MS) in subjects with type-1 diabetes (T1D) is being increasingly recognized. As patients with T1D lack endogenous insulin secretion, measurement of insulin concentration by immunoassay or by indices such as homeostasis model of assessment for insulin resistance (HOMA-IR) is not helpful in assessing IS. Hence, some equations have been developed and validated against data from euglycemic-hyper-insulinemic clamp tests (the gold standard) to estimate IS. 1) To assess IS using available equations (EDC, SEARCH and CACTI) and relationship of IS with MS and microalbuminuria in adolescents with T1D, (2) To compare the predictive value of these equations for detection of MS and derive a cut-off to predict the future risk of development of MS and microalbuminuria and (3) To identify the most accurate non-invasive and easy-to-use equation for detecting patients with double diabetes (DD) in a clinical setting. Methods This cross-sectional study included 181 adolescents aged 12–18 years with T1D. Demographic data and laboratory measurements were performed using standard protocols. IS was calculated using following equations:(1) EDC=24.31−12.22×(WHR)−3.29×(hypertension)−0.57×(HbA1c), (2) SEARCH=exp(4.64725−0.02032(waist)−0.09779(HbA1c)−0.00235(Triglycerides), (3)CACTI-exA=exp(4.1075–0.01299×(waist)−1.05819×(insulin dose)−0.00354×(Triglycerides)−0.00802×(DBP)). Results IS determined by all three methods had significant negative correlation (p Conclusions IS by SEARCH equation may be used in routine clinical practice to detect DD in Indian adolescents with T1D at risk of developing metabolic as well as microvascular complications.

Objectives Children with type 1 diabetes (T1D) having diabetic nephropathy (DN) are at increased risk of developing end stage renal disease. The present study aimed to determine the prevalence of DN and its predictors in Indian children and youth with T1D. Methods This cross-sectional study included 319 children and youth (2.6–21 years) with T1D having disease duration of at least 2 years. Demographic data and laboratory findings were obtained using standard questionnaires and protocols. Diagnosis of diabetic nephropathy was based on albuminuria on two occasions within a period of 3 months. Results The prevalence of DN in our study subjects was 13.4%. 7.5% subjects were known cases of diabetic nephropathy on treatment with enalapril. Hypertension was found in 14.3% subjects with DN in contrast to 4.1% without DN (p Conclusions We found a high prevalence of DN in children and youth with T1D including in children under the age of 10 years. Early screening and timely intervention are required to retard the disease progression and avoid end stage renal disease.

Autoimmune polyglandular syndrome-1 (APS-1)also known as autoimmune polyendocrinopathy candidiasis ectodermal dystrophy is a rare autosomal recessive disorder caused by mutation of AIRE gene on chromosome 21q22.3 with an overall prevalence of

Bone age is useful for pediatric endocrinologists in evaluating various disorders related to growth and puberty. Traditional methods of bone age assessment, namely Greulich and Pyle (GP) and Tanner-Whitehouse (TW), have intra- and interobserver variations. Use of computer-automated methods like BoneXpert might overcome these subjective variations.The aim of our study was to assess the validity of BoneXpert in comparison to manual GP and TW methods for assessing bone age in children of Asian Indian ethnicity.We extracted from a previous study the deidentified left hand radiographs of 920 healthy children aged 2-19 years. We compared bone age as determined by four well-trained manual raters using GP and TW methods with the BoneXpert ratings. We computed accuracy using root mean square error (RMSE) to assess how close the bone age estimated by BoneXpert was to the reference rating.The standard deviations (SDs) of rating among the four manual raters were 0.52 years, 0.52 years and 0.47 years for GP, TW2 and TW3 methods, respectively. The RMSEs between the automated bone age estimates and the true ratings were 0.39 years, 0.41 years and 0.36 years, respectively, for the same methods. The RMSE values were significantly lower in girls than in boys (0.53, 0.5 and 0.47 vs. 0.39, 0.47 and 0.4) by all the methods; however, no such difference was noted in classification by body mass index. The best agreement between BoneXpert and manual rating was obtained by using 50% weight on carpals (GP50). The carpal bone age was retarded in Indian children, more so in boys.BoneXpert was accurate and performed well in estimating bone age by both GP and TW methods in healthy Asian Indian children; the error was larger in boys. The GP50 establishes "backward compatibility" with manual rating.

Implementation of COVID restrictions following lockdown led to changes in routines of subjects with type 1 diabetes due to closure of schools and outdoor activities. The aim of this study was to assess the impact of decreased physical activity due to COVID restrictions on cardio-metabolic risk parameters (waist circumference, laboratory and body composition parameters) in Indian children and youth with T1D.This observational study included 312 participants (2-21 years) with T1DM having disease duration of ≥6 months. Demographic, anthropometric, body composition data and investigations were recorded at two time points (during COVID restrictions when children came for follow up, pre COVID restriction data from medical and electronic records).Glycemic control improved during COVID restrictions (Hba1c: 9.8 ± 2.0%) as compared to pre COVID restrictions (Hba1C: 10.0 ± 1.9%) (p 0.05). However, due to significant reduction in physical activity (p 0.05) there was significant increase in waist circumference z-scores (-0.9 ± 1.1 vs -1.6 ± 1.1), body fat percentage z-scores (-0.2 ± 1.0 vs -0.3 ± 0.9) and lipid parameters like cholesterol, low density lipid cholesterol and triglyceride concentrations (p 0.05) without any significant change in body mass index z-scores (p 0.05).Prolonged COVID restrictions, although led to modest improvement in glycemic control, there was worsening of cardio-metabolic risk factors or indices of adiposity like waist circumference, body fat percentage and lipid parameters which could be attributed to decreased time spent in physical activity.

Prevalence of metabolic syndrome (MS) is increasing in children with type-1 diabetes (T1D). Genetic and environmental factors shared among family members are considered significant risk factors. We conducted this study to assess the association of parental MS with development of metabolic risk (MR) in patients with T1D.This cross-sectional study included 29 patients with T1D along with their parents (29 triads). Demographic data, anthropometry, blood pressure, biochemical measurements and body composition measurements were performed using standard protocols. Insulin resistance was calculated using estimated glucose disposal rate (eGDR) in patients and using HOMA-IR in their parents. MS was diagnosed using International Diabetes Federation Consensus Definition, 2017.Of total study participants, 44.8% patients with T1D had MR while 25.3% of parents had MS. Low HDL was identified as the most common component of MS. 64.3% patients with T1D, who had parents with MS, had MR. The odds ratio (OR) for development of MR in patients with T1D with parents affected by MS was 4.9 (95% confidence interval 1.0-24.1) while relative risk (RR) was 2.4 (95% confidence interval 0.9-6.1). MR in patients with T1D was found to have a strong correlation with parental MS and also with development of double diabetes (DD).In conclusion, parental MS increases the risk of development of metabolic abnormalities in patients with T1D. Thus, positive family history may serve as a useful indicator for targeted screening to detect DD.

Malnutrition among under-five children (U5C) in India is a major public health problem due to double burden caused by nutritional transition. WHO cut-offs are adopted as global growth standards which define how children should grow in condition of optimal nutrition and health. Growth references which are representative of population-specific existing growth patterns need to be updated regularly which is cumbersome; hence, the author's group published 'synthetic growth references' for Indian children of age 0-18 years.The objective of this study is to field test the new synthetic growth references in U5C for height-for-age, weight-for-age and body mass index (BMI)-for-age against WHO charts in urban and rural Indian children to estimate prevalence of various indices of malnutrition.A cross-sectional anthropometric assessment of apparently healthy rural and urban Indian U5C attending vaccination centre was performed using standard protocols. They were converted toWHO charts significantly overestimated stunting and malnutrition as compared to synthetic references with difference in sensitivity of 7.2% and 8.5%, respectively, and converse for over-nutrition by 2.1%. The most commonly affected parameter of malnutrition was underweight. Stunting was significantly higher in rural population using both cut-offs (The synthetic references limit the spread of weight and BMI and do not overestimate stunting and wasting. They may be more useful for identification of malnutrition and may thus be recommended for routine screening in Indian U5C.