Effect of Calcium and Vitamin D Supplementation (Dairy vs. Pharmacological) on Bone Health of Underprivileged Indian Children and Youth with Type-1 Diabetes: A Randomized Controlled Trial.

BACKGROUND: Bone health is affected by chronic childhood disorders including type-1 diabetes mellitus (T1DM). We conducted this randomized controlled trial with the objective of investigating the effect of 1-year supplementation of vitamin-D with milk or with pharmacological calcium on bone mass accrual in underprivileged Indian children and youth with T1DM. METHODS: 5 to 23year old (n = 203) underprivileged children and youth with T1DM were allocated to one of three groups: Milk (group A-received 200 ml milk + 1000 international unit (IU) vitamin-D3/day), Calcium supplement (group B-received 500 mg of calcium carbonate + 1000 IU of vitamin-D3/day) or standard of care/control (group C). Anthropometry, clinical details, biochemistry, diet (3-day 24-h recall), physical activity (questionnaires adapted for Indian children) and bone health parameters (using dual-energy X-ray absorptiometry and peripheral quantitative computed tomography- DXA and pQCT respectively) were evaluated at enrolment and end of 12 month intervention. RESULTS: Total body less head(TBLH) bone mineral content (BMC(g)) and bone mineral density (BMD(gm/cm2)) were significantly higher at end of study in girls in both supplemented groups (TBLHBMC-A-1011.8 ±â€¯307.8, B-983.2 ±â€¯352.9, C-792.8 ±â€¯346.8. TBLHBMD-A-± 0.2, B-0.8 ±â€¯0.2, C-0.6 ±â€¯0.2, p < 0.05). Z score of lumbar spine bone mineral apparent density of supplemented participants of both sexes was significantly higher than controls (Boys- A-0.7 ±â€¯1.1, B-0.6 ±â€¯1.4, C- -0.7 ±â€¯1.1; Girls- A-1.1 ±â€¯1.1, B-0.9 ±â€¯3.4, C- -1.7 ±â€¯1.3, p < 0.05). A significantly higher percentage increase was found in cortical thickness in girls in both supplemented groups (A-17.9 ±â€¯28.6, B-15.3 ±â€¯16.5, C-7.6 ±â€¯26.2); the differences remained after adjusting for confounders. CONCLUSION: Supplementation with milk or pharmacological calcium (+vitaminD3) improved bone outcomes-particularly geometry in children with T1DM with more pronounced effect in girls. Pharmacological calcium may be more cost effective in optimising bone health in T1DM in resource limited settings.

BoneXpert-derived bone health index reference curves constructed on healthy Indian children and adolescents.

BACKGROUND: Artificial intelligence (AI)-based applications for the assessment of the paediatric musculoskeletal system like BoneXpert are not only useful to assess bone age (BA) but also to provide a bone health index (BHI) and a standard deviation score (SDS) for both. This allows comparison of the BHI with age- and sex-matched healthy Caucasian children. OBJECTIVE: We conducted this study with the objective of generating BHI curves using BoneXpert in healthy Indian children with BA between 2 and 17 years. METHOD: We retrospectively reviewed anthropometric parameters, BHI, and BHI SDS data of digitalized left-hand radiographs (joint photographic experts group [jpg] format) of a cohort of 788 paediatric patients from a previous study to which they were recruited to compare various methods of BA assessment. The recruited children represented all age groups for both sexes. The corrected BHI for jpg images was calculated using the formula corrected BHI=BHI*(stature/(avL*50))^0.33333 where stature is height of subject and avL is average length of metacarpal bones. The reference Indian BHI curves and centiles were generated using the Lambda-Mu-Sigma method. RESULT: The mean BHI and BHI SDS of the study group were 4.02±0.57 and -1.73±1.09, respectively. The average increase in median BHI from each age group was between 2.5% and 3% in both sexes up to age of 14 years after which it increased to 4.5% to 5%. The mean BHI of Indian children was lower than that of Caucasian children with maximum differences noted in boys at 16 years (21.7%) and girls at 14 years (16%). We report 8.4% SD of BHI for our study sample. Reference percentile curves for BHI according to BA were derived separately for boys and girls. CONCLUSION: Reference data has been provided for the screening of bone health status of Indian children and adolescents.

Adaptation and validation of an artificial intelligence based digital radiogrammetry tool for assessing bone health of indian children and youth with type-1 diabetes.

BACKGROUND AND OBJECTIVES: BoneXpert (BX) is an artificial intelligence software used primarily for bone age assessment. Besides, it can also be used to screen for bone health using the digital radiogrammetry tool called bone health index (BHI) for which normative reference values available are calculated from healthy European children. Due to ethnic difference in bone geometry, in a previous study, we generated reference curves based on healthy Indian children. The objectives of this study were: 1) To assess and compare bone health of Indian children with Type 1 diabetes (T1D) using both European and Indian BHI SDS reference data and 2) To identify determinants of poor bone health in Indian children and youth with T1D by using BHI tool (based on BHI-SDS Indian reference data) of BX. METHOD: The BHI was assessed retrospectively in 1159 subjects with T1D using digitalised left-hand x-rays and SDS were computed using European and Indian data. The demographic, anthropometric, clinical, biochemistry, dual x-ray absorptiometry (DXA) data and peripheral quantitative computed tomography (pQCT) data collection were performed using standard protocols and were extracted from hospital records. RESULTS: The BHI correlated well with DXA and pQCT parameters in subjects with T1D. BHI-SDS calculated using Indian reference data had better correlation with height and DXA parameters. 8.6% study participants had low (less than -2) BHI-SDS (Indian), with height SDS having significant effect. Subjects with low BHI-SDS were older, shorter and had higher duration of diabetes. They also had lower IGF1 and vitamin D concentrations, bone mineral density, and trabecular density. Female gender, increased duration of illness, poor glycaemic control, and vitamin D deficiency/insufficiency were significant predictors of poor BHI-SDS. CONCLUSION: Our study highlights the utility of digital radiogrammetry AI tool to screen for bone health of children with T1D and demonstrates and highlights the necessity of interpretation using ethnicity specific normative data.

Assessment of pubertal onset and disorders of puberty in Indian children and youth with type-1 diabetes.

OBJECTIVES: Disorders of pubertal development are enlisted as associated conditions in children and adolescents with type-1 diabetes (T1D). We conducted this study with objective (1) To estimate the median age at onset of puberty and luteinizing hormone (LH) and sex-steroid concentrations in Indian adolescents with T1D and (2) To assess the impact of puberty on glycemic control and insulin resistance (IR). METHODS: This cross-sectional study included 399 children and youth aged 6-23 years with T1D. Demographic, anthropometric, biochemical and pelvic ultrasound data were collected using standard protocols. IR was calculated using estimated glucose disposal rate and puberty was assessed using Tanner staging. RESULTS: Median age at onset of thelarche, pubarche and menarche were 11.3, 11.4 and 12.8 years in girls and that of gonadarche and pubarche were 10.6 and 12.7 years for boys. The mean LH and sex-steroid concentrations of subjects with T1D were similar to healthy subjects at each stage of puberty. The cut-offs of LH and sex-steroids derived from healthy Indian children yielded high sensitivity and specificity in determining pubertal onset. The prevalence of precocity, delayed puberty, ovarian cysts and polycystic ovaries was 0.9 , 5.1, 5.1 and 8.6 %, respectively. Glycaemic control and insulin sensitivity was poor in pubertal subjects. CONCLUSIONS: The age at onset of puberty, LH, and sex-steroid concentrations in subjects with T1D were like otherwise healthy Indian children with poor glycemic control and IR in pubertal subjects. Although most complications of T1D are associated with poor glycemic control, pubertal disorders were significantly low despite the less-than-optimal glycemic control.

Utility of apolipoprotein ratio in predicting metabolic risk and microvascular complications in Indian children and young adults with type 1 diabetes mellitus.

OBJECTIVES: To assess the relationship of apolipoproteins with glycemic control and insulin resistance (IR) in Indian children and youth with type-1 diabetes (T1D) and to assess its utility in predicting metabolic risk (MR) and microvascular complications in these subjects. METHODS: This cross-sectional study included 152 participants aged 6-23 years with T1D. Demographic, anthropometric, clinical, biochemical and body composition data were obtained using standard protocols. IR was calculated using estimated glucose disposal rate (eGDR) and metabolic syndrome (MS) was diagnosed using the international diabetes federation consensus definition 2017. RESULTS: Apolipoprotein ratio in subjects with T1D had negative and positive correlation with eGDR and HbA1c respectively. Positive correlation of Apolipoproten B and apolipoprotein ratio with urinary albumin creatinine ratio is noted. The ratio had area under curve of 0.766 and 0.737 to predict MR and microvascular complications respectively. The ratio cut-off of 0.536 yielded 77.1 % sensitivity and 61 % specificity to predict MR. On adding the apolipoprotein ratio as a predictor to the regression model developed to predict MR, the R2 and accuracy improved. CONCLUSIONS: The apolipoprotein ratio had significant correlation with IR, microalbuminuria and glycaemic control. The ratio also predicts risk of development of microvascular complications and maybe used to predict MR in subjects with T1D.

Triple burden of malnutrition and role of anaemia in the development of complications associated with type 1 diabetes in Indian children and youth.

OBJECTIVES: The double burden of malnutrition accompanied by micronutrient deficiency is referred to as the triple burden of malnutrition (TBM). Very few studies have highlighted the TBM in children with type-1 diabetes. We conducted this study with the objective of estimating the TBM in Indian children and youth with type-1 diabetes (T1D) and to study role of anaemia in the development of complications associated with T1D. METHODS: This cross-sectional observational study included 394 subjects with T1D. Demographic data, anthropometry, blood pressure, biochemical measurements, dual energy X-ray absorptiometry (DXA) and peripheral quantitative computed tomography were performed using standard protocols. Estimated glucose disposal rate (eGDR) and estimated glomerular filtration rate (eGFR) were calculated for all subjects. RESULTS: We report a 16, 5.8, and 16.2% prevalence of anaemia, underweight and overweight/obese suggesting TBM with microcytic hypochromic anaemia as the most common morphological form. Haemoglobin concentrations showed positive correlation with systolic and diastolic blood pressure. The presence of anaemia was a significant predictor of eGDR and macrovascular complications in T1D which could not be attributed to glycemic control. Bone health of anaemic T1D subjects was poor than subjects without anaemia on DXA scan after adjusting for confounders. No systematic pattern between Hb concentrations and eGFR or ACR was found. CONCLUSIONS: TBM in Indian children and youth with T1D is a significant health problem and anaemia is an important predictor in the development of macrovascular complications and poor bone health associated with T1D. However, its role in development of microvascular complications remains to be explored.