ABSTRACT
Central obesity is strongly associated with cardiovascular risk in people with diabetes. BMI does not reflect a regional fat distribution. The other anthropometric indices, which are markers of central obesity, like waist circumference and waist-hip ratio, are subject to age, sex, and ethnic variations. An index like waist-to-height ratio (WHtR), which considers central obesity, outperforms BMI in predicting cardiometabolic risk. With a single cut-off of 0.5, irrespective of age, sex, and ethnic variations, WHtR has a wide application in screening obesity in population settings. Previous systematic analyses were conducted in the general population, assessing cardiometabolic risk. The current study is the first systematic analysis to compare the applicability of WHtR and BMI in predicting both cardiovascular risk and adverse cardiovascular outcomes in people with diabetes. It includes prospective cohort studies, cross-sectional studies, and randomized control trials to generate evidence. The summary scores indicate that WHtR is probably a better indicator than BMI to assess cardiovascular risk in people with diabetes. A future meta-analysis will pave the way for more robust evidence.
ABSTRACT
INTRODUCTION: Current evidence demonstrates that people with type 2 diabetes (T2D) are at a higher risk of developing chronic kidney disease (CKD) with greater morbidity and mortality. We, therefore, aimed to document and categorize demographic, anthropometric, and physiological risk factors of CKD in people with T2D in India. Additionally, we also attempted to evaluate the magnitude of each risk factor, namely age, duration of diabetes, HbA1c, and body mass index (BMI) in its etiology. METHODS: This observational, single-center, and cross-sectional study was performed at a diabetes care center in Lucknow, India. Out of a total of 504 eligible patients, we could get the required data from 435 patients. The following data were collected: demographic data, estimated glomerular filtration rate (eGFR), serum creatinine, urinary albumin creatinine ratio (UACR), and HbA1c levels. Appropriate statistical tests were applied. RESULT: The 435 eligible people with diabetes had a mean age (SD) of 51 (±10.52) years; female 48.02%, duration of diabetes 7 (±5.4) years; HbA1c 8.6 (±2.3)% and eGFR values 80.2 (±26.6) mL/min/1.73m2 at the time of presentation. The eGFR values correlated negatively with age and duration of diabetes, and positively with increasing BMI. The Spearman correlation coefficient showed that clinical parameters such as age, duration of diabetes, and BMI have a weak, but statistically significant correlation with eGFR while eGFR did not correlate with HbA1c level in the study. Further, we did not find a correlation between eGFR and UACR. CONCLUSION: In people with T2D, age and duration of diabetes are important risk factors for the development of CKD based on the eGFR. Hence, even in the absence of high UACR values, a low eGFR should prompt periodic monitoring to reduce the risk of progression of CKD, especially, in older people with long-standing T2D. Our study did not find HbA1c as a suitable tool to assess the CKD progression risk, but historical glycaemic control over longer periods revealed by sequential values of HbA1c over the duration of disease may correlate with the progression of CKD.
ABSTRACT
Coronavirus disease (COVID-19) is an infectious disease caused by the newly discovered SARS-COV-2. Older people and people with pre-existing medical conditions, such as diabetes and obesity, appear to have the worst outcomes with the COVID-19 virus. In response to the COVID-19 pandemic, many countries enforced stringent lockdowns to prevent the spread of the disease. India had a lockdown of 68 days between 21st March and 31st May 2020. In this background, we undertook this study to assess the effect of the lockdown on the glycemic status and weight of people with diabetes, which was indirectly an opportunity to assess the self-care practices of people with diabetes. MATERIAL AND METHODS: The subjects included in the study were people with type 2 diabetes identified from electronic medical records who had attended the Jai Clinic and Diabetes Care Centre in Lucknow and were tested for HbA1c between 20th Feb 2020 and 20th March 2020. A total of 313 people with diabetes were identified meeting the inclusion criteria, out of which 171 were females and 142 were males. They were again tested for HbA1c between 1st June 2020 and 1st July 2020 after lockdown. Their pre- and post-lockdown HbA1c and weight were analyzed statistically. RESULTS: HbA1c was increased in 195 patients, which was statistically significant. A total of 151 patients had an increase in weight compared to their prelockdown weights, but it was not statistically significant. Furthermore, an increase in weight correlated with an increase in HbA1c and a decrease in weight correlated with a decrease in HbA1c. Both were statistically significant. CONCLUSION: Optimum diabetes control and adherence to good self-care practices is the need of hour, and contingency plans for medicines and diabetes care supplies are of utmost importance in these testing times.
