Progression of Diabetic Retinopathy After Initiation of Automated Insulin Delivery System in Adults With Type 1 Diabetes.

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM
Kagan E Karakus, Halis K Akturk, Janet K Snell-Bergeon, Viral N Shah
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引用次数: 0

Abstract

Background: To evaluate the progression of diabetic retinopathy (DR) after the initiation of automated insulin delivery (AID) systems in adults with type 1 diabetes (T1D).

Methods: In this longitudinal study with 152 adults, retinal exams and clinical variables were collected before and after AID initiation up to 2.7 years. The DR worsening was defined as an increase in Early Treatment of Diabetic Retinopathy Study (ETDRS) scores or qualitative retinal exam.

Results: A total of 152 adults with mean age of 42 years (57% female), 26 years of T1D duration, and mean baseline HbA1c of 7.6% (60 mmol/mol) were included in this analysis. Of 152 adults with T1D, 42 (28%) adults had DR worsening after AID initiation. After adjusting for age, diabetes duration, and sex, baseline HbA1c (odds ratio [OR] = 2.1 [1.34-3.04]) and low-density lipoprotein cholesterol (LDL-C) >100 mg/dL with HbA1c >8% (OR = 3.33 [1.12-9.91]) were associated with two- and three-fold increased risk for DR worsening, respectively. The decline of HbA1c with AID initiation between DR worsening and no-DR worsening groups was not significant (-0.38 ± 1.2% vs -0.47 ± 0.9%; P = .6).

Conclusions: Higher baseline HbA1c with LDL-C >100 mg/dL may be associated with DR worsening after initiation of AID systems in T1D. Those with elevated HbA1c should get periodic ophthalmic examination after AID initiation to detect progression of DR. Prompt diagnosis may result in timely treatment.

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来源期刊
Journal of Diabetes Science and Technology
Journal of Diabetes Science and Technology Medicine-Internal Medicine
CiteScore
7.50
自引率
12.00%
发文量
148
期刊介绍: The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.
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