Evidence map›Paper›PMID 39629445›Full record

ArticleJournal of family medicine and primary care2024

Exploring disparities: A comparative analysis of insulin-naïve, regular users, and inertia patients among type 2 diabetes mellitus outpatients in India.

Shubham Atal, Arwa Bohra, Shamsher S Kalra, S Balakrishnan, Rajnish Joshi

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Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Shubham AtalDepartment of Pharmacology, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, India.
Arwa BohraDepartment of Pharmacology, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, India.
Shamsher S KalraDepartment of Pharmacology, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, India.
S BalakrishnanDepartment of Pharmacology, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, India.
Rajnish JoshiDepartment of General Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Insulin utilization pattern varies greatly in type 2 diabetes mellitus (T2DM) patients. Clinical inertia in treatment intensification hinders glycemic control in T2DM management. This study investigated insulin prescription trends and various predictors among insulin naive, user, and insulin inertia (II) patients in T2DM. Methodology: A retrospective analysis of T2DM patient records from the diabetes clinic at a tertiary care center was conducted. Data on socio-demographics, anthropometry, disease characteristics, comorbidities, adherence, and medication prescribing patterns were collected. Analysis was done using tests of significance, odds ratio (OR), and multivariate logistic regression. Results: A total of 950 records were analyzed, with 17.3% of patients identified as insulin users (IU), 70.9% being insulin-naïve (IN), and 11.8% having II. IUs had significantly higher glycemic levels including HbA1c, fasting, postprandial, and random blood sugars compared to the other groups. Higher HbA1c levels were associated with significantly increased odds of insulin usage (OR: 3.46, confidence interval (CI): 1.94-6.16), while individuals taking sulfonylureas had lower odds of insulin usage (OR: 0.27, CI: 0.08-0.91). A significant association was also seen with the total number of oral antidiabetic drugs prescribed (four drugs; OR: 15.6, and five drugs; OR: 9.1). Other factors did not show a significant association. The regression model showed HbA1c level as low as 7.9% could indicate a future insulin requirement in 22% of patients. Conclusion: The study outlines differences in characteristics and parameters among T2DM patients who require or do not require insulin and highlights the challenges in insulin initiation in Indian T2DM patients. Findings on II underscore the need for timely treatment intensification.

Indexed as

Barriers to insulinglycemic controlinsulin inertiainsulin initiationT2DM management

Identifiers

PMID39629445
PMCPMC11610898

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