Back

Timing and Duration of Glucagon-like Peptide-1 Receptor Agonist Use and Risk of Nonarteritic Anterior Ischemic Optic Neuropathy

Niazi, S.; Gnesin, F.; Jawad, B. N.; Niazi, Z.; Yazdanfard, P. D. W.; Toft-Petersen, A. P.; Soerensen, K. K.; Meaidi, A.; Subhi, Y.; Torp Pedersen, C.

2026-02-03 ophthalmology
10.64898/2026.02.01.26345315
Show abstract

PurposeTo investigate the association between glucagon-like peptide-1 receptor agonist (GLP-1RA) use and nonarteritic anterior ischaemic optic neuropathy (NAION) in type 2 diabetes, examining treatment recency and cumulative duration. MethodsThis nationwide registry-based nested case-control study utilised Danish health registries (1996-2023). Among 201,776 metformin-treated adults initiating second-line antihyperglycaemic therapy, 123 incident NAION cases were matched to 4,920 controls by birth year and sex (incidence-density sampling). Conditional logistic regression estimated adjusted hazard rate ratios (HRs) for GLP-1RA exposure by recency (current 0-90 days; recent 91-365 days) and cumulative duration, adjusting for socioeconomic factors, hypertension, hypercholesterolaemia, sleep apnoea, and diabetes duration. ResultsGLP-1RA use occurred in 63/123 cases (51.2%) and 1,688/4,920 controls (34.3%). Ever use was associated with a higher NAION rate than other second-line therapies (HR 2.13, 95% CI 1.43-3.18). Current use was associated with elevated rates (HR 2.28, 95% CI 1.49-3.48), whereas the estimate for recent use was imprecise (HR 1.69, 95% CI 0.88-3.25). By cumulative duration, no clear evidence of an increase was seen within 0-[1/2] years (HR 0.80, 95% CI 0.32-2.05), and rates were highest at [1/2]-1 year (HR 3.63, 95% CI 2.06-6.40) and 1-1[1/2] years (HR 3.52, 95% CI 1.73-7.17). Findings were consistent after HbA1c adjustment and in a new-user analysis. ConclusionGLP-1RA use is associated with a higher NAION rate in type 2 diabetes. This association appears time-dependent, being most pronounced during current treatment and peaking after 6-18 months of cumulative exposure.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Diabetes, Obesity and Metabolism
based on 14 papers
Top 0.1%
12.7%
2
Eye
based on 11 papers
Top 0.3%
11.1%
3
British Journal of Ophthalmology
based on 13 papers
Top 0.4%
10.2%
4
PLOS ONE
based on 1737 papers
Top 58%
7.6%
5
BMJ Open
based on 553 papers
Top 15%
7.6%
6
Frontiers in Endocrinology
based on 20 papers
Top 0.7%
5.8%
50% of probability mass above
7
Scientific Reports
based on 701 papers
Top 43%
4.5%
8
Investigative Opthalmology & Visual Science
based on 11 papers
Top 0.5%
4.5%
9
Translational Vision Science & Technology
based on 18 papers
Top 1.0%
3.0%
10
Diabetes Care
based on 11 papers
Top 0.6%
2.4%
11
PLOS Medicine
based on 95 papers
Top 6%
2.3%
12
Ophthalmology Science
based on 15 papers
Top 1.0%
1.8%
13
Clinical and Translational Science
based on 14 papers
Top 1.0%
1.6%
14
Frontiers in Medicine
based on 99 papers
Top 14%
1.3%
15
British Journal of Cancer
based on 22 papers
Top 3%
1.2%
16
British Journal of Clinical Pharmacology
based on 21 papers
Top 2%
1.2%
17
The Journal of Clinical Endocrinology & Metabolism
based on 26 papers
Top 3%
0.8%
18
European Journal of Public Health
based on 20 papers
Top 2%
0.8%
19
British Journal of General Practice
based on 22 papers
Top 2%
0.8%
20
Communications Medicine
based on 63 papers
Top 5%
0.7%
21
F1000Research
based on 28 papers
Top 6%
0.7%
22
Acta Neuropsychiatrica
based on 11 papers
Top 2%
0.7%
23
Journal of Epidemiology and Community Health
based on 32 papers
Top 5%
0.7%
24
Cureus
based on 64 papers
Top 19%
0.7%
25
Diabetologia
based on 23 papers
Top 3%
0.7%