| Title: | Evaluation of systemic medications associated with diabetic retinopathy: a nested case-control study from the UK Biobank |
| Journal: | British Journal of Ophthalmology |
| Published: | 20 May 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38769011/ |
| DOI: | https://doi.org/10.1136/bjo-2023-324930 |
Publication 12021
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Abstract
AIMS: This study aims to investigate the associations between commonly used systemic medications and diabetic retinopathy (DR).</p>
METHODS: Individuals with linked primary care prescription data from the UK Biobank were included. Cases were defined as individuals with a Hospital Episode Statistics-coded or primary care recorded diagnosis of DR or self-reported DR. Controls were matched for age, sex, glycosylated haemoglobin, duration of diabetes mellitus (DM), hypertension status and cardiovascular disease status. ORs and 95% CIs were calculated using conditional univariate and multivariable logistic regression models.</p>
RESULTS: A total of 3377 case subjects with DR were included in the study and matched with 3377 control subjects. In multivariable logistic regression, increased odds of incident DR were observed for exposure to short-acting insulins (OR 1.63; 95% CI 1.22 to 2.18), medium-acting insulins (OR 2.10; 95% CI 1.60 to 2.75), sulfonylureas (OR 1.30; 95% CI 1.16 to 1.46). Instead, the use of fibrates (OR 0.71; 95% CI 0.53 to 0.94) and Cox-2 inhibitors (OR 0.68; 95% CI 0.58 to 0.79) was associated with decreased odds of incident DR. Dose-response relationships were observed for all five drug categories (all p<0.05).</p>
CONCLUSIONS: This study comprehensively investigated the associations between systemic medication use and DR and found significant associations between the use of short-acting insulins, medium-acting insulins and sulfonylureas with increased odds of incident DR. In contrast, fibrates and Cox-2 inhibitors were associated with decreased odds of incident DR. These findings may provide valuable insights into DM medication management and serve as a reference for the prevention of DR in patients with DM.</p>
11 Authors
- Guangming Jin
- Yiyuan Ma
- Danying Zheng
- Ling Jin
- Charlotte Aimee Young
- Yanyu Shen
- Yuan Tan
- Jiaxin Jin
- Xinyu Zhang
- Yue Wu
- Zhenzhen Liu
1 Application
| Application ID | Title |
|---|---|
| 87083 | Big data-based analysis of genotype-phenotype correlations in eye diseases |
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