Indian Journal of Endocrinology and Metabolism (Jan 2024)

Screening of individuals with type 2 diabetes on anti-diabetic agents for probable hypoglycaemia using the stanford hypoglycemia questionnaire (SHQ) in outpatient settings: A cross-sectional study from outpatient diabetes care centres in North India

  • Rajiv Awasthi,
  • Arun K Pande,
  • Kumar P Chandra,
  • Vivek Agarwal,
  • Mukulesh Gupta,
  • Ajoy Tewari,
  • Nitin Gupta,
  • Santosh Chaubey,
  • Sandeep Chaudhary,
  • Sajid Ansari,
  • Dinesh Kumar

DOI
https://doi.org/10.4103/ijem.ijem_42_23
Journal volume & issue
Vol. 28, no. 1
pp. 86 – 90

Abstract

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Introduction: The study was aimed at identifying the incidence of unreported probable hypoglycaemia in individuals with type 2 diabetes (T2DM) on anti-diabetic medications, using the screening Stanford Hypoglycemia Questionnaire (SHQ) in real-world situations. Methods: It was a multicentre cross-sectional study on consecutive individuals attending 10 diabetes care centres in Lucknow, Uttar Pradesh, India. The inclusion criteria were as follows: known individuals with T2DM, literate, age greater than or equal to 18 years, on at least one anti-diabetic agent for more than a month and not engaged in regular self-monitoring of blood glucose (SMBG). Results: This study was conducted from August 2017 to April 2018, involving 1198 participants. The mean age of the individuals enrolled was 53.45 years (±10.83), with males comprising 55.3% of the population. It was found that 63.6% of patients were on sulphonylurea (SU), 14.5% were on pioglitazone, 92.2% on metformin, 62.3% on Dipeptidyl peptidase (DPP4i) and 12.8% on Sodium-glucose cotransporter (SGLT2i). The mean SHQ score was 1.81 (±1.59). Probable hypoglycaemia was mild in 57.59%, moderate in 14.69% and severe in 1.41%. Those with diabetic neuropathy (P = <0.001), retinopathy (P = <0.001) and nephropathy (P = <0.001) had significantly higher SHQ scores. Insulin or SU use was associated with a significantly higher SHQ score. Concomitant statin use was associated with a lower incidence of mild, moderate and severe hypoglycaemia (P = 0.01). On multivariate analysis, we found that age, sex, systolic blood pressure (SBP), insulin use and fasting blood sugar were the most important factors associated with an increased risk of hypoglycaemia with an R2 cut-off of 0.7. Conclusion: SHQ was discovered to be a simple and cost-effective screening tool for outpatient detection of hypoglycaemia in an Indian setting, and it can add value to management.

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