Prevalence of metabolic syndrome in adolescents from a north Indian population.

AIMS: To estimate the prevalence and distribution of the metabolic syndrome (MS) in adolescents attending school in the north Indian city of Chandigarh. RESEARCH DESIGN AND METHODS: At total of 1083 adolescents attending school (aged 12-17 years) participated in a community-based cross-sectional survey. Anthropometric examination included height, weight, body mass index, waist circumference, hip circumference, waist-hip ratio and blood pressure measurement. A fasting blood sample was taken for measurement of glucose, insulin and lipid profile. Socio-demographic characteristics were investigated using a questionnaire. The metabolic syndrome was determined by the National Cholesterol Education Program Adult Treatment Panel III definition modified for age. RESULTS: The overall prevalence of MS in adolescents was 4.2%. However, the prevalence rose to 5.8% when the fasting plasma glucose cut-off was lowered to 5.5 mmol/l. There was no gender difference in the distribution of MS. When stratified by body mass index (BMI), 5.5% adolescents were overweight (BMI > or = 95th percentile), while 4% were at risk for overweight (BMI between 85th and 95th percentile). Of the overweight adolescents, 36.6% met the criteria for MS, while 11.5% at risk for overweight and only 1.9% of the normal population had MS (P < 0.0001). Low high-density lipoprotein was the most common and abdominal obesity the least common constituent of MS. There was a significant difference (P < 0.0001) between the prevalence of MS adolescents from low to high socio-economic strata. CONCLUSIONS: A substantial number (4.2%) of north Indian adolescents and 36.6% of overweight adolescents had MS. This poses a serious threat to the current and future health of these young people.     

Accuracy of glycated haemoglobin in screening for pre‐diabetes in Asian Indians—a community survey: the Chandigarh Urban Diabetes Study (CUDS)

Aim To compare American Diabetes Association and International Expert Committee recommended cut‐off values of HbA_1c for detecting the presence of pre‐diabetes against plasma glucose values obtained from oral glucose tolerance tests in Asian Indians. Methods A cross‐sectional randomly sampled population survey involving 2368 adults, aged ≥ 20 years. HbA_1c was measured on a Bio‐Rad 10 system in 1972 subjects. Results Of the 1972 subjects studied, 329 were detected to have pre‐diabetes based on isolated impaired fasting glucose in 125 subjects (6.3%), isolated impaired glucose tolerance in 141 subjects (7.1%) and the presence of both in 63 subjects (3.2%). The HbA_1c cut‐off of 34 mmol/mol (5.7%), as recommended by the American Diabetes Association for detecting the presence of pre‐diabetes, showed sensitivity of 62%, specificity 77%, with a positive predictive value of 34.7%, a negative predictive value of 89.5% and accuracy of 67.8%; whereas the HbA_1c cut‐off recommended by the International Expert Committee of 42 mmol/mol (6%) had a sensitivity of 36%, specificity of 90%, positive predictive value of 42.7%, negative predictive of 85.4% and an accuracy of 77%. However, both these HbA_1c cut‐offs underdiagnosed the presence of pre‐diabetes in 38 and 64% of these subjects, respectively. Conclusions The American Diabetes Association and the International Expert Committee recommended HbA_1c cut‐off values and oral glucose tolerance tests identify different pre‐diabetes cohorts. Long‐term prospective studies are required to define the usefulness of one over the other.     

Impaired anti-SARS-CoV-2 antibody response in non-severe COVID-19 patients with diabetes mellitus: A preliminary report

Background and aimsPatients with diabetes mellitus (DM) often demonstrate impaired antibody response to influenza/hepatitis B vaccines. Hence, we compared anti-SARS-CoV-2 antibody response in non-severe COVID-19 patients with and without type 2 diabetes mellitus (T2DM).MethodsRecords of non-severe COVID-19 patients admitted at our institution between April 10, 2020 and May 20, 2020 were retrieved. Qualitative detection of total (IgG + IgM) anti-SARS-CoV-2 antibody was performed using electrochemiluminescence immunoassay in plasma samples collected at least 14 days post-polymerase chain reaction (PCR) confirmation of diagnosis.ResultsThirty-one non-severe COVID-19 patients were included. Nine patients (29%) had T2DM with mean HbA_1c at admission of 8.3 ± 1.0%. Anti-SARS-CoV-2 antibody was estimated at a median of 16 (14–17) days post-PCR confirmation of COVID-19 diagnosis. Only three patients (10%) were seronegative, and all had T2DM. Patients with T2DM were more likely to have non-detectable anti-SARS-CoV-2 antibodies than those without DM (p = 0.019).ConclusionsCOVID-19 patients with T2DM may not undergo seroconversion even after two weeks of diagnosis. Impaired seroconversion could theoretically increase the risk of reinfections in patients with DM. However, the finding requires validation in large-scale studies involving serial estimations of anti-SARS-CoV-2 antibodies in patients with and without DM.