Evidence Hub

The Use of Dapagliflozin in the Treatment of Children With Severe Insulin Resistance

Attia N, Al Noaim K, Mustafa M, Al Fifi SH, Al Alwan I, Thalange N, Babiker A

Pediatric diabetes, 2025

Abstract

Background: Managing severe insulin resistance (IR) is challenging, necessitating a multifaceted approach, including dietary restriction, exercise, and pharmacotherapy. This paper will detail our utilization of dapagliflozin in a series of cases involving patients with severe IR of various etiology and inadequate glycemic control.

Case studies: We describe six cases of extreme IR with distinct clinical diagnoses: four with Rabson-Mendenhall syndrome (RMS), one with IR type 1A, and a patient with type 1 diabetes mellitus (T1DM) and severe subcutaneous (SC) IR. These cases exhibit the observable characteristics of IR, characterized by an inability to effectively manage blood glucose (BG) with a standard treatment plan. Every case had a remarkable response to dapagliflozin. Subsequent assessment demonstrated improved HgbA1C, fasting glucose, insulin, and C-peptide concentrations. Furthermore, several cases demonstrated improvement in the clinical manifestations of IR following the administration of dapagliflozin, while others showed a reduction in the frequency of diabetic ketoacidosis (DKA). There were no documented adverse reactions with the use of dapagliflozin for a duration of 2-4 years in these patients.

Conclusion: Dapagliflozin appeared both safe and effective as a standalone treatment or when used alongside other antidiabetes medications such as insulin in a case series of children with T1DM and severe IR or IR syndromes (IRS).

How strong is the evidence?

Evidence Hub reads this as a case series, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free