Publications by authors named "V V Khadilkar"

Objectives: To classify under 5-y-old children into normal, short, severe short and tall categories as per WHO (2006) and Indian 2019 synthetic growth charts and to compare the change in the proportion of stunted children based on these two charts.

Methods: This study was done on 1557 (795 boys) apparently healthy children of age group 0-5 y who attended outpatient clinics for routine vaccination and their stature categories were compared on WHO 2006 vs. 2019 Indian synthetic charts.

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Objectives: Exocrine pancreatic insufficiency has been demonstrated in type 1 diabetes (T1D); lower concentrations of pancreatic enzymes have been associated with metabolic risk (MR). Influence of puberty and MR factors on serum concentrations of amylase and lipase remain unexplored in Indian youth with T1D. 1) To characterize and predict determinants of serum amylase and lipase concentrations in adolescents/youth with T1D.

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Introduction: Energy metabolism in type 1 diabetes (T1D) is known to be different. Resting metabolic rate (RMR) accounts for the largest portion of total energy needs. The objective of our study was to assess resting metabolic rate and its determinants in adolescents and young adults with T1D in comparison with age- and gender-matched healthy controls.

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Objectives: Geographic Information System (GIS) mapping, is a novel way to provide insights into spatial distribution of type 1 diabetes (T1D) and associations between T1D outcomes and potential predictors. We aimed to explore GIS in children with T1D, and identify predictors of poor glycemic control.

Methods: Design: Cross-sectional; Participants: 402 children and youth (187 boys) with T1D.

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Article Synopsis
  • BoneXpert (BX) is useful for evaluating bone age (BA) and metacarpal index (MCI) in Indian children and youth with type-1 diabetes (T1D), but its application in this group had not been previously studied.
  • A study of 1,272 T1D subjects revealed that BX can accurately assess BA, with minimal errors compared to established methods, and MCI showed a significant correlation with bone density measurements.
  • Findings indicated that over 50% of subjects exhibited decreased MCI, highlighting the importance of monitoring factors like height and vitamin D levels, as well as the negative impact of HbA1c and T1D duration on bone health.
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