ObjectivesIn March 2020, lockdown was imposed in India to combat spread of Coronavirus, which was extended till 31st May. Implementation of lockdown and limited outdoor activities resulted in changes in routines of children with diabetes. The aim of this study was to assess the impact of lockdown on glycemic control, weight and body mass index (BMI) patterns of children with type 1 diabetes (T1DM) from different socio-economic (SE) classes.MethodsThis observational study included 77 children and youth (5–20 years) with T1DM having disease duration of ≥6 months. Demographic data and investigations were recorded at two time points (post lockdown when the children came for follow up, pre lockdown data from medical records).ResultsGlycemic control improved (pre lockdown HbA1C 79.4±19.2 vs. post lockdown Hba1C 74.5±16.9 mmol/mol, p<0.05) and there was weight gain post lockdown (pre lockdown weight z-score −0.4±0.8 vs. post lockdown weight z-score −0.2±0.8, p<0.05) without any significant change in BMI and insulin requirements. Improved glycemic was seen in the lower SE group control post lockdown (p<0.05), whereas in higher SE group, it remained unchanged. Children whose parents were at home during lockdown showed an improved glycemic control (p<0.05) as compared to children whose parents continued to work during lockdown (p>0.01)ConclusionsDuring coronavirus lockdown, glycemic control was adequately maintained in children with T1DM, highlighting importance of stronger family support system leading to more steady daily routine.

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 <1:100,000. Here, we present a 16-year-old male having clinical history of evolution of symptoms for oral candidiasis, hypoparathyroidism, and adrenal insufficiency (AI). He developed rare endocrine and non-endocrine manifestations such as type-1 diabetes (T1D) and autoimmune hepatitis, respectively. The patient while on hormone replacement therapy along with immunosuppressants developed liver cirrhosis and portal hypertension with esophageal varices and candidiasis. Subsequently, he was admitted for complaints of cough, cold and fever and was confirmed to be affected by SARS-CoV-2 by reverse transcription-polymerase chain reaction method. In his prolonged ICU stay of 26 days, he required oxygen therapy, intravenous glucocorticoids, remdesivir, low molecular weight heparin, and hemodynamic support with inotropes. His medical management with subcutaneous insulin therapy and azathioprine was continued. He was discharged after complete resolution of symptoms and negative tests for SARS-CoV-2 and was advised radiological and clinical follow-up. Reports suggest that risk of severe COVID does not increase in patients with AI or autoimmunity. However, our patient possibly developed severe COVID not only due to AI and autoimmunity but also associated rare manifestations like hyperglycemia due to T1D and cirrhosis. Thus, good glycemic control and well-tolerated modern immunosuppressant therapy may be useful in improving prognosis of severe COVID-19 illness in patients with APS-1.

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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<0.05) with MS as well as with microalbuminuria. The cut-off value of 5.485 mg/kg/min by SEARCH method for determining IS had the highest sensitivity and specificity in identifying MS. 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.