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Abstract 


Associations between migraine and retinal vascular occlusion have been reported, but there is no large-scale and comprehensive study. Therefore, we aimed to determine risks of retinal vascular occlusion in patients with migraine. Using the Taiwan National Health Insurance Research Database from 2009 to 2020, we enrolled 628,760 patients with migraine and 628,760 matched individuals without migraine. Study outcomes were diagnoses of retinal vascular occlusion, including retinal artery occlusion (RAO) and retinal vein occlusion (RVO). Adjusted hazard ratio (aHR) of retinal vascular occlusion related to migraine was estimated. The cumulative incidences of subsequent retinal vascular occlusion, RAO, and RVO were significantly higher in migraine patients compared with controls (0.31% vs. 0.21%; 0.09% vs. 0.05%; 0.22% vs. 0.17%; all p < 0.001). The hazards of retinal vascular occlusion, RAO, and RVO were significantly greater in the migraine group (aHR, 1.69 [95% CI, 1.57, 1.83], 2.13 [95% CI, 1.84, 2.48] and 1.53 [95% CI, 1.40, 1.68], respectively). Risks of retinal vascular occlusion were significantly higher in migraine both with aura (MA) and without aura (MO) (aHR, 1.77 [95% CI, 1.58, 1.98], and 1.92 [95% CI, 1.64, 2.25]). Among patients with migraine, nonsteroidal anti-inflammatory drugs, propranolol, and flunarizine significantly reduce their risks of retinal vascular occlusion (aHR, 0.19 [95% CI, 0.16, 0.22], 0.73 [95% CI, 0.62, 0.86], 0.84 [95% CI, 0.76, 0.93]). Migraine, MA and MO are independently associated with higher risks of retinal vascular occlusion, RAO, and RVO.

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Logo of scirepAboutEditorial BoardFor AuthorsScientific Reports
Sci Rep. 2024; 14: 15429.
Published online 2024 Jul 4. https://doi.org/10.1038/s41598-024-66363-9
PMCID: PMC11224338
PMID: 38965381

Increased risks of retinal vascular occlusion in patients with migraine and the protective effects of migraine treatment: a population-based retrospective cohort study

Associated Data

Supplementary Materials
Data Availability Statement

Abstract

Associations between migraine and retinal vascular occlusion have been reported, but there is no large-scale and comprehensive study. Therefore, we aimed to determine risks of retinal vascular occlusion in patients with migraine. Using the Taiwan National Health Insurance Research Database from 2009 to 2020, we enrolled 628,760 patients with migraine and 628,760 matched individuals without migraine. Study outcomes were diagnoses of retinal vascular occlusion, including retinal artery occlusion (RAO) and retinal vein occlusion (RVO). Adjusted hazard ratio (aHR) of retinal vascular occlusion related to migraine was estimated. The cumulative incidences of subsequent retinal vascular occlusion, RAO, and RVO were significantly higher in migraine patients compared with controls (0.31% vs. 0.21%; 0.09% vs. 0.05%; 0.22% vs. 0.17%; all p < 0.001). The hazards of retinal vascular occlusion, RAO, and RVO were significantly greater in the migraine group (aHR, 1.69 [95% CI, 1.57, 1.83], 2.13 [95% CI, 1.84, 2.48] and 1.53 [95% CI, 1.40, 1.68], respectively). Risks of retinal vascular occlusion were significantly higher in migraine both with aura (MA) and without aura (MO) (aHR, 1.77 [95% CI, 1.58, 1.98], and 1.92 [95% CI, 1.64, 2.25]). Among patients with migraine, nonsteroidal anti-inflammatory drugs, propranolol, and flunarizine significantly reduce their risks of retinal vascular occlusion (aHR, 0.19 [95% CI, 0.16, 0.22], 0.73 [95% CI, 0.62, 0.86], 0.84 [95% CI, 0.76, 0.93]). Migraine, MA and MO are independently associated with higher risks of retinal vascular occlusion, RAO, and RVO.

Keywords: Migraine, Retinal vascular occlusion, Epidemiology, Blindness
Subject terms: Neurology, Risk factors

Introduction

Retinal vascular occlusion, including retinal artery occlusion (RAO) and retinal vein occlusion (RVO), is a leading cause of sudden and painless sight loss. RAO, with a yearly incidence of 1 to 2 cases per 100,000 people, is considered as an ocular analogue of cerebral stroke1. It is mostly due to atherosclerosis-related embolism, with carotid artery disease being the main source embolism2. In comparison, RVO is more common, with a global prevalence of ~ 0.5%3. The pathogenesis of RVO presumably follows the principle of Virchow’s triad for thrombogenesis, i.e., vessel damage, stasis, and hypercoagulability4. The main cause of thrombogenesis is due to atherosclerosis of the retinal artery, which further compresses the retinal vein in the lamina cribrosa, secondarily inducing thrombosis in the vein. RAO is categorized into central RAO (CRAO) and branch RAO (BRAO), depending on the occluded artery. The duration of occlusion is further distinguished as permanent, including CRAO and BRAO, and transient, i.e., transient RAO (TRAO). Classification of RVO can be broken down into central RVO (CRVO) and branch RVO (BRVO), based on whether the thrombosis is within the central retinal vein or a branch retinal vein5.

Migraine is a common and disabling disorder, affecting ~ 15% of the global population. It is ranked as the 3rd most common disease, and the 7th highest specific cause of disability worldwide6. During a migraine attack, the trigeminovascular system has a key role to play. Cerebrovascular disorders, either ischemic stroke or hemorrhagic stroke, and other cardiovascular diseases are more prevalent in migraine patients7.

Since migraine and retinal vascular occlusion share similar neurovascular characteristics, migraine is known to associate with retinal vascular occlusion. The evidence is mostly based on case reports on the association between migraine and RAO812. Few studies have been reported on the association between migraine and RVO1315. There is yet no large-scale and comprehensive study on the association between migraine and retinal vascular occlusion. Whether migraine treatment might affect the risks of retinal vascular occlusion in migraine patients remains unclear.

We hypothesized that patients with migraine may have a higher risk of incident retinal vascular occlusion, RAO, and RVO. Here, by using a large-scale population-based cohort for our study, we aimed to determine the association between migraine and retinal vascular occlusion, and the potential effects of migraine treatment on such risk.

Methods

Study design and data source

We performed a retrospective cohort study of a nationwide population with subjects aged > 20 years old. The data were retrieved from the Taiwan National Health Insurance Research Database (NHIRD) covering a period of 12 years from January 1, 2009, to December 31, 2020. NHIRD, which is maintained by the National Health Research Institutes (NHRI) of Taiwan, contains comprehensive medical and pharmacy records on medical care settings for > 99% of the 23 million Taiwanese residents. The database is generated under compulsory and universal national health insurance. Diagnoses are registered using the ICD-9-CM (International Classification of Diseases, Ninth Revision, Clinical Modification; 2009–2015) and ICD-10-CM (International Classification of Diseases, Tenth Revision, Clinical Modification; 2016–2020). For patient privacy, the NHRI has encrypted names of patients, health care providers, and medical institutions with unique and anonymous identifiers prior to releasing the database for research purposes. Consequently, according to the rules of the Institutional Review Board, our study protocol was exempt from an informed consent requirement. Our study was approved by the ethical committee of China Medical University Hospital (CMUH111-REC2-109(CR-1)). All methods were performed in accordance with relevant guidelines and regulations.

Criteria of inclusion and exclusion

In the migraine group, the diagnosis of migraine was defined as at least 3 outpatient records or one inpatient claim of a migraine diagnostic code made by a neurologist. The definition of index date for a migraine patient was the date of their initial diagnosis within the period from January 1, 2009 to December 31, 2019. Patients were excluded if they had any of the following conditions: (a) diagnosed with retinal vascular occlusion before the index date; (b) unknown gender; and (c) age < 20 years. Individuals without a baseline history of migraine, and who were not diagnosed with migraine during the follow-up period served as the control group. The index date of a control subject was the date of enrollment. To address the bias caused by group differences, the migraine group and the control group were matched at 1:1 ratio, based on propensity score (PS). PS was generated based on age, gender, index year (the year of index date), and comorbidity. We included comorbidities likely associated with RAO or RVO, and further categorized these comorbidities into various groups: i.e., vascular risk factors, thrombotic and embolic diseases, cardiovascular diseases, inflammation in or around the vessel wall, and other diseases (Supplementary Table S1). Those migraine patients who were not able to be matched with non-migraine controls were all excluded. Diagnosis codes we used are shown in Supplementary Table S1. Study outcomes were diagnoses of retinal vascular occlusion, i.e., RAO and RVO. Patients were followed up to determine their incidence of retinal vascular occlusion until December 31, 2020, or death, whichever came first. Figure 1 shows the flow chart.

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Flow diagram of study sample selection. Index year was the year of index date. The definition of index date for the migraine group was the date of their initial diagnosis during January 1, 2009, to December 31, 2019, whereas index date for the control group was the date of enrollment.

Statistical analyses

This is the primary analysis of the data. No statistical power calculation was conducted prior to the study, and the sample size was based on the available data. Considering the large sample size of our study population, demographic characteristics and comorbidities were compared between the migraine and control groups using standardized mean difference (SMD) for both continuous and categorical variables. Any SMD value < 0.1 was considered to reflect no difference between the two groups. The Kaplan–Meier method was used to determine the cumulative incidence of subsequent retinal vascular occlusion in both the migraine and non-migraine cohorts, and results analyzed with the log-rank test. The univariate Cox regression analysis was used to estimate the crude hazard ratios (cHRs) for retinal vascular occlusion related to migraine. The multivariable Cox proportional regression model was used to calculate the adjusted hazard ratios (aHRs) after covariate adjustment for age, gender, comorbidities, and medications. The analyses of Schoenfeld residuals were used to test the assumptions of our Cox proportional hazards model, and the results indicated that using this model for analysis is appropriate. (Retinal vascular occlusion: p = 0.31; RAO: p = 0.72; RVO: p = 0.09) (Supplementary Fig. S1).

In addition, we calculated separately aHRs for RAO and RVO, together with their subtypes: i.e., CRAO, BRAO, TRAO, CRVO, and BRVO. To further determine age effects on risks of retinal vascular occlusion, and gender, we stratified ages into 4 groups (20–40; 40–60; 60–80; and > 80 years); and similarly gender effects (male vs female). In addition, given the wide range of time followed in the study, multivariable analysis was adjusted for the index year (follow-up time of less than 3 years, 3 to 5 years, and more than 5 years). The aHRs of retinal vascular occlusion among migraine subtypes, including migraine with aura (MA) and migraine without aura (MO), were also calculated. The diagnostic codes of these subtypes are shown in Supplementary Table S1.

We further studied effects of different migraine medications on the risk of retinal vascular occlusion. For the definition of treatment for migraine, we only included specific migraine medications which were advised by American Headache Society and European treatment guideline for acute and preventive treatment of migraine. The choice of treatment for acute migraine attacks included nonsteroidal anti-inflammatory drugs (NSAIDs), triptans, and ergotamine. Preventive medications involved propranolol, metoprolol, topiramate, valproate, and flunarizine16,17. The corresponding pharmaceutical codes based on Anatomical Therapeutic Chemical (ATC) Classification System for each subgroup and details on the specific NSAIDs included in our study are shown in Supplementary Table S2. To make sure of a causal relationship, we only included migraine medications which had been prescribed after the first diagnosis of migraine, and prior to the study outcomes. Also, only those medications which have been prescribed for a least 2 times were included.

All statistical operations were performed using the SAS statistical software, version 9.4 (SAS Institute, Cary, NC, USA). Graphs were plotted with RStudio. Data were presented as mean ± standard deviation (SD), and 95% confidence intervals (CIs) were provided when appropriate. Two-tailed t-tests were conducted for analyses and p-value less than 0.05 was considered significant.

Results

Demographic data

A total of 1,257,520 participants were enrolled in the study, including 628,760 in the migraine group and 628,760 PS-matched controls. The mean age of all participants was 45.35 ± 14.86 years, with 27.07% men and 72.93% women. Table Table11 shows the demographic characteristics of the two groups. The mean following period was 7.43 (± 3.21) and 6.77 (± 3.49) years, respectively, in the migraine and control cohort. Since the two groups were well-matched in PS, we therefore found no inter-group difference in terms of age and comorbidities (SMD < 0.1 for each covariate).

Table 1

Characteristics of the study subjects.

Total (n = 1,257,520)Migraine group (n = 628,760)Control group (n = 628,760)SMD
Migraine subtypes, n (%)
 Migraine with aura56,574 (9.00)
 Migraine without aura188,230 (29.94)
 Other subtypes383,956 (61.07)
Gender, n (%)
 Female917,083 (72.93)472,848 (75.20)444,235 (70.65)0.103
 Male340,437 (27.07)155,912 (24.80)184,525 (29.35)
Age, year (mean ± SD)45.35 ± 14.8645.32 ± 14.8345.38 ± 14.900.004
 20–40, n (%)526,905 (41.90)263,924 (41.98)262,981 (41.83)0.003
 40–60, n (%)525,600 (41.80)262,837 (41.80)262,763 (41.79) < 0.01
 60–80, n (%)184,561 (14.68)91,996 (14.63)92,565 (14.72)0.003
   80, n (%)20,454 (1.63)10,003 (1.59)10,451 (1.66)0.006
Comorbidities, n (%)
 Hypertension263,953 (20.99)131,838 (20.97)132,115 (21.01)0.001
 Hypotension6064 (0.48)3141 (0.50)2923 (0.46)0.005
 Diabetes109,858 (8.74)54,846 (8.72)55,012 (8.75)0.001
 Hyperlipidemia234,912 (18.68)117,720 (18.72)117,192 (18.64)0.002
 Stroke66,408 (5.28)33,332 (5.30)33,076 (5.26)0.002
 Pulmonary embolism470 (0.04)270 (0.04)200 (0.03)0.006
 Deep vein thrombosis2271 (0.18)1181 (0.19)1090 (0.17)0.003
 PAOD6291 (0.50)3227 (0.51)3064 (0.49)0.004
 Congestive heart failure17,103 (1.36)8513 (1.35)8590 (1.37)0.001
 Coronary artery disease101,237 (8.05)50,770 (8.07)50,467 (8.03)0.002
 Valvular heart disease47,277 (3.76)24,136 (3.84)23,141 (3.68)0.008
 Atrial fibrillation6643 (0.53)3285 (0.52)3358 (0.53)0.002
 SLE3801 (0.30)1996 (0.32)1805 (0.29)0.006
 Systemic vasculitis1297 (0.10)689 (0.11)608 (0.10)0.004
 Retinal vasculitis81 (0.01)51 (0.01)30 (0.00)0.004
 Glaucoma33,399 (2.66)17,003 (2.70)16,396 (2.61)0.006
 Chronic kidney disease46,347 (3.69)23,106 (3.67)23,241 (3.70)0.001
 COPD200,681 (15.96)101,978 (16.22)98,703 (15.70)0.014
 Obesity12,913 (1.03)6707 (1.07)6206 (0.99)0.008
 Smoking15,532 (1.24)7970 (1.27)7562 (1.20)0.006
 Alcoholism10,071 (0.80)5136 (0.82)4935 (0.78)0.004
Medication, n (%)
Acute treatment
NSAIDs1,129,070 (89.79)602,239 (95.78)526,831 (83.79)0.404
Triptans26,139 (2.08)25,933 (4.12)206 (0.03)0.290
Ergotamine186,345 (14.82)171,415 (27.26)14,930 (2.37)0.748
Preventive treatment
Propranolol242,696 (19.30)205,040 (32.61)37,656 (5.99)0.717
Metoprolol7659 (0.61)5042 (0.80)2617 (0.42)0.050
Topiramate32,986 (2.62)31,393 (4.99)1593 (0.25)0.300
Valproate39,380 (3.13)28,188 (4.48)11,192 (1.78)0.156
Flunarizine284,549 (22.63)227,566 (36.19)56,983 (9.06)0.685

Follow-up time, years

(mean ± SD)

7.09 ± 3.377.43 ± 3.216.77 ± 3.490.197

SD standard deviation, SMD standardized mean difference, PAOD peripheral arterial occlusion disease, COPD chronic obstructive pulmonary disease, SLE systemic lupus erythematosus.

Risks of developing retinal vascular occlusion in migraine patients

During the 12-year follow-up period, a total of 1921 patients (0.31%) in the migraine group developed retinal vascular occlusion. These cases were 584 RAO (0.09%) and 1389 RVO (0.22%). Whereas in the control group, 1336 (0.21%) patients were diagnosed with retinal vascular occlusion. They were 318 RAO (0.05%) and 1058 RVO (0.17%). Kaplan–Meier curves, after the log-rank test, revealed that the cumulative incidences of subsequent retinal vascular occlusion, RAO, and RVO were significantly higher in migraine patients compared with controls (log-rank test, all p < 0.001) (Fig. 2). The hazard ratios of retinal vascular occlusion during the 12-year study period calculated with univariate and multivariate Cox regression models were displayed in Table Table2.2. Univariate Cox regression analysis showed a significantly higher risk of retinal vascular occlusion in the migraine group, with a cHR of 1.30 (95% CI, 1.22, 1.40; p < 0.001). After adjusting for PS, the risk remained significantly higher in the multivariable regression analysis, with an aHR of 1.69 (95% CI, 1.57, 1.83; p < 0.001). Significant associations with the occurrence of retinal vascular occlusion were found with the following: older age, male, hypertension, diabetes, hyperlipidemia, coronary artery disease, systemic lupus erythematosus (SLE), glaucoma, and chronic kidney disease (CKD) (Table (Table22).

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Kaplan–Meier analysis for cumulative incidence of (A) retinal vascular occlusion, (B) retinal artery occlusion (RAO) and (C) retinal vein occlusion (RVO) in patients with and without migraine.

Table 2

Analyses of risk factors for retinal vascular occlusion in patients with migraine in comparison to patients without migraine.

Univariate analysisMultivariable analysis
cHR (95% CI)p-valueaHRa (95% CI)p-value
Migraine (Yes vs. No)1.30 (1.22, 1.40) < 0.0011.69 (1.57, 1.83) < 0.001
Gender (Male vs. Female)1.34 (1.25, 1.45) < 0.0011.15 (1.07, 1.24) < 0.001
Age, years
20–40ReferenceReference
40–603.86 (3.44, 4.32) < 0.0013.17 (2.83, 3.56) < 0.001
60–8010.70 (9.55, 12.04) < 0.0016.15 (5.41, 7.00) < 0.001
  8010.80 (8.72, 13.61) < 0.0014.91 (3.88, 6.21) < 0.001
Comorbidities
Hypertension3.83 (3.58, 4.11) < 0.0011.92 (1.76, 2.09) < 0.001
Hypotension0.77 (0.40, 1.49)0.4430.54 (0.28, 1.05)0.069
Diabetes2.95 (2.70, 3.22) < 0.0011.16 (1.05, 1.28)0.004
Hyperlipidemia2.53 (2.35, 2.72) < 0.0011.10 (1.01, 1.20)0.032
Stroke2.91 (2.61, 3.24) < 0.0011.12 (1.00, 1.27)0.051
Pulmonary embolism2.48 (0.62, 9.87)0.1971.08 (0.27, 4.36)0.913
Deep vein thrombosis3.30 (1.91, 5.68) < 0.0011.39 (0.80, 2.41)0.240
PAOD2.09 (1.44, 3.04) < 0.0010.81 (0.56, 1.18)0.277
Comngestive heart failure2.66 (2.13, 3.33) < 0.0010.84 (0.66, 1.06)0.137
Coronary artery disease3.13 (2.86, 3.42) < 0.0011.21 (1.09, 1.34) < 0.001
Valvular heart disease1.49 (1.26, 1.76) < 0.0010.96 (0.81, 1.14)0.621
Atrial fibrillation3.61 (2.64, 4.93) < 0.0011.22 (0.88, 1.68)0.226
SLE1.73 (1.02, 2.92)0.0411.83 (1.08, 3.10)0.025
Systemic vasculitis2.61 (1.24, 5.48)0.0112.05 (0.97, 4.31)0.060
Retinal vasculitis6.40 (0.91, 44.83)0.0623.18 (0.45, 22.73)0.248
Glaucoma3.63 (3.18, 4.15) < 0.0011.92 (1.68, 2.20) < 0.001
Chronic kidney disease3.34 (2.94, 3.79) < 0.0011.38 (1.21, 1.58) < 0.001
COPD1.72 (1.58, 1.87) < 0.0011.07 (0.98, 1.17)0.157
Obesity1.04 (0.71, 1.51)0.8560.96 (0.65, 1.40)0.819
Smoking0.94 (0.64, 1.39)0.7630.87 (0.59, 1.28)0.481
Alcoholism1.06 (0.68, 1.64)0.7970.85 (0.55, 1.33)0.480

PAOD peripheral arterial occlusion disease, COPD chronic obstructive pulmonary disease, SLE systemic lupus erythematosus, cHR crude hazard ratio, aHR adjusted hazard ratio, CI confidence interval.

aAdjusted HR estimated by the multivariable Cox proportional regression model including the variables of age, gender, and comorbidities.

Risks of retinal artery occlusion, retinal vein occlusion and their subtypes in migraine patients

The risks of subsequent RAO and RVO in migraine patients were significantly higher (aHR, 2.13 [95% CI, 1.84, 2.48], p < 0.001 and 1.53 [95% CI, 1.40, 1.68], p < 0.001, respectively). Both RAO and RVO shared similar risk factors, i.e., male, older age, hypertension, coronary artery disease, glaucoma, and CKD. Other risk factors associated with RAO were: hyperlipidemia, stroke, SLE, systemic vasculitis, and COPD; while hypotension, diabetes, and congestive heart failure were related with RVO (Supplementary Table S3 and S4). For subgroups of RAO and RVO, we found significant associations between migraine and CRAO (aHR, 1.37 [95% CI, 1.02, 1.83], p = 0.035), BRAO (aHR, 1.70 [95% CI, 1.19, 2.42], p = 0.003), TRAO (aHR, 2.77 [95% CI, 2.26, 3.39], p < 0.001), CRVO (aHR, 1.40 [95% CI, 1.20, 1.62], p < 0.001), and BRVO (aHR, 1.56 [95% CI, 1.40, 1.73], p < 0.001) (Fig. 3).

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Analyses of the risks of retinal vascular occlusion subtypes in patients with and without migraine. RAO retinal artery occlusion, CRAO central retinal artery occlusion, BRAO branch retinal artery occlusion, TRAO transient retinal artery occlusion, RVO retinal vein occlusion; CRVO central retinal vein occlusion, BRVO branch retinal vein occlusion, aHR adjusted hazard ratio estimated by the multivariable Cox proportional regression model including the variables of age, gender, and comorbidities, CI confidence interval.

Impacts of gender, age, and migraine status on retinal vascular occlusion

In each gender group, the migraine group had a higher aHR of developing retinal vascular occlusion than the control group (female—aHR, 1.64 [95% CI, 1.50, 1.80], p < 0.001; male—aHR, 1.84 [95% CI, 1.60, 2.13], p < 0.001). Additionally, this trend was observed across all age groups. Patients aged 20 to 40 years old and above 80 years old had higher risk of retinal vascular occlusion than other strata (age 20–40–aHR, 2.04 [95% CI, 1.62, 2.57], p < 0.001; age 40–60–aHR, 1.54 [95% CI, 1.37, 1.72], p < 0.001; age 60–80—aHR, 1.80 [95% CI, 1.59, 2.04], p < 0.001; age  80–aHR, 2.05 [95% CI, 1.28, 3.27], p = 0.003) (Table (Table3).3). The higher risks of subsequent RAO and RVO remained significant for both genders and across age strata, except for those aged  80 (Supplementary Table S5). For the multivariable analysis for the index year, patients with migraine had increased risks of subsequent retinal vascular occlusion, RAO and RVO throughout all follow-up time strata, with the risks highest in the first 3 years following migraine diagnosis. As time progressed, the risks were attenuated, but still statistically significant (Table (Table44).

Table 3

Gender and age stratum and risk for retinal vascular occlusion in patients with migraine in comparison to patients without migraine.

Univariate analysisMultivariable analysis
cHR (95% CI)p-valueaHRa (95% CI)p-value
Female1.24 (1.14, 1.35) < 0.0011.64 (1.50, 1.80) < 0.001
Male1.47 (1.29, 1.68) < 0.0011.84 (1.60, 2.13) < 0.001
Age, 20–401.58 (1.27, 1.95) < 0.0012.04 (1.62, 2.57) < 0.001
Age, 40–601.23 (1.11, 1.36) < 0.0011.54 (1.37, 1.72) < 0.001
Age, 60–801.32 (1.18, 1.48) < 0.0011.80 (1.59, 2.04) < 0.001
Age,  801.57 (1.03, 2.40)0.0342.05 (1.28, 3.27)0.003

cHR crude hazard ratio, aHR adjusted hazard ratio, CI confidence interval.

aAdjusted HR estimated by the multivariable Cox proportional regression model including the variables of age, gender, and comorbidities.

Table 4

Analyses of risks for retinal vascular occlusion in patients with migraine in comparison to patients without migraine with different follow-up time.

Retinal vascular occlusionRAORVO
aHRa (95% CI)p-valueaHRa (95% CI)p-valueaHRa (95% CI)p-value
Migraine (Yes vs. No)
Follow-up time, years
 < 33.17 (2.60, 3.88) < 0.0013.32 (2.30, 4.78) < 0.0013.01 (2.38, 3.82) < 0.001
3–51.91 (1.63, 2.24) < 0.0012.43 (1.73, 3.39) < 0.0011.77 (1.48, 2.11) < 0.001
 > 51.36 (1.23, 1.50) < 0.0011.78 (1.48, 2.13) < 0.0011.21 (1.09, 1.36) < 0.001

RAO, retinal artery occlusion, RVO retinal vein occlusion, aHR adjusted hazard ratio, CI confidence interval.

aAdjusted HR estimated by the multivariable Cox proportional regression model including the variables of age, gender, and comorbidities.

Retinal vascular occlusion developments compared between migraine patients with and without aura

Risks of subsequent retinal vascular occlusion were significantly higher in patients with MA and MO compared with controls (aHR, 1.77 [95% CI, 1.58, 1.98], p < 0.001; 1.92 [95% CI, 1.64, 2.25], p < 0.001, respectively). The higher risks of developing RAO and RVO remained significant. Compared with MO, MA was associated with a significantly higher risk of RAO (aHR, 1.49 [95% CI, 1.12, 1.99], p = 0.006), but not in retinal vascular occlusion (aHR, 1.11 [95% CI, 0.94, 1.30], p = 0.220) or RVO (aHR, 0.97 [95% CI, 0.80, 1.18], p = 0.757) (Fig. 4).

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Analyses of the risks of retinal vascular occlusion, retinal artery occlusion (RAO) and retinal vein occlusion (RVO) in the migraine with aura (MA), and migraine without aura (MO) groups. aHR adjusted hazard ratio estimated by the multivariable Cox proportional regression model including the variables of age, gender, and comorbidities, CI confidence interval.

Effects of migraine treatment on the risk of retinal vascular occlusion

Risks of retinal vascular occlusion, RAO, and RVO in migraine patients treated with NSAIDs were significantly lower than those without such treatment (aHR, 0.19 [95% CI, 0.16, 0.22], p < 0.001; 0.18 [95% CI, 0.13, 0.23], p < 0.001; 0.21 [95% CI, 0.17, 0.25], p < 0.001, respectively). Propranolol similarly reduced risks of retinal vascular occlusion, RAO, and RVO (aHR, 0.73 [95% CI, 0.62, 0.86], p < 0.001; 0.61 [95% CI, 0.44, 0.83], p = 0.002; 0.77 [95% CI, 0.63, 0.93], p < 0.006). Flunarizine significantly decreased the risks of retinal vascular occlusion and RVO (aHR, 0.84 [95% CI, 0.76, 0.93], p < 0.001; 0.77 [95% CI, 0.68, 0.86], p < 0.001). Triptans, ergotamine, metoprolol, topiramate, and valproate however did not show such effect on reducing the risks of retinal vascular occlusion (aHR, 0.88 [95% CI, 0.64, 1.22], p = 0.454; 1.12 [95% CI, 0.94, 1.33], p = 0.191; 1.15 [95% CI, 0.81, 1.64], p = 0.429; 0.82 [95% CI, 0.62, 1.07], p = 0.147; 0.80 [95% CI, 0.64, 1.01], p = 0.059) (Table (Table55).

Table 5

Analyses of migraine treatment effects on the risks of retinal vascular occlusion.

Retinal vascular occlusionRAORVO
aHRa (95% CI)p-valueaHRa (95% CI)p-valueaHRa (95% CI)p-value
Migraine patients with vs without medications
NSAIDs
WithoutReferenceReferenceReference
With0.19 (0.16, 0.22) < 0.0010.18 (0.13, 0.23) < 0.0010.21 (0.17, 0.25) < 0.001
Triptans
WithoutReferenceReferenceReference
With0.88 (0.64, 1.22)0.4541.15 (0.71, 1.87)0.5680.81 (0.54, 1.22)0.314
Ergotamine
WithoutReferenceReferenceReference
With1.12 (0.94, 1.33)0.1911.14 (0.82, 1.58)0.4381.15 (0.94, 1.41)0.170
Propranolol
WithoutReferenceReferenceReference
With0.73 (0.62, 0.86) < 0.0010.61 (0.44, 0.83)0.0020.77 (0.63, 0.93)0.006
Metoprolol
WithoutReferenceReferenceReference
With1.15 (0.81, 1.64)0.4291.59 (0.89, 2.84)0.1141.10 (0.73, 1.67)0.643
Topiramate
WithoutReferenceReferenceReference
With0.82 (0.62, 1.07)0.1470.72 (0.44, 1.18)0.1940.84 (0.61, 1.16)0.298
Valproate
WithoutReferenceReferenceReference
With0.80 (0.64, 1.01)0.0590.55 (0.33, 0.89)0.0150.89 (0.69, 1.15)0.373
Flunarizine
WithoutReferenceReferenceReference
With0.84 (0.76, 0.93) < 0.0011.09 (0.91, 1.30)0.3440.77 (0.68, 0.86) < 0.001

RAO retinal artery occlusion, RVO retinal vein occlusion, NSAIDs Non-steroidal anti-inflammatory drugs, aHR adjusted hazard ratio, CI confidence interval.

aAdjusted HR estimated by the multivariable Cox proportional regression model including the variables of age, gender, and comorbidities.

Discussion

In this large population study, we determined the associations between migraine and retinal vascular occlusion, including RAO and RVO, as well as the protective effects of migraine treatment, including NSAIDs, propranolol, and flunarizine. Despite the report of Al-Moujahed et al. on the association between migraine and RAO in the US population, no study has yet been reported on the relationship between migraine and RVO, and little is known on the effects of migraine treatment on such relationship18. In addition, racial differences are known regarding risk factors of both RAO and RVO19. Our study cohort represents the entire Taiwanese population. We found that migraine is associated with higher risks of retinal vascular occlusion, including RAO and RVO, as well as their subtypes.

Al-Moujahed et al.reported a threefold increase of RAO risk in US migraine patients, whereas we found a twofold increase in Taiwanese patients. Our slightly lower risk may be explained as follows. First, giant cell arteritis (GCA), which further causes RAO with an inflammatory etiology, is predominant in Caucasians, but rare in Asians20. The symptoms of GCA may mimic migraine, thus leading to misdiagnosis. In our study, there were a total of 589 patients diagnosed with GCA, accounting for 0.05% of the population. Among the group with migraine, there were 548 patients with GCA (0.09%), while in the non-migraine group, there were 48 patients with GCA (0.01%). According to previous studies, the prevalence of GCA was about 0.25% in the United Kingdom and 0.20% in the United States and Canada21. Second, the discrepancy in results may be race-related. Since previous meta-analyses and cohort studies reported that the risk of ischemic stroke in Caucasian migraineurs is higher than that in Taiwanese migraineurs22,23. We also demonstrated that the risks of retinal vascular occlusion, RAO and RVO were particularly higher at short-term follow-up, with a > threefold increase in the first 3 years following migraine diagnosis. The risks reduced to a < twofold increase at long-term follow-up (i.e., more than 5 years after migraine diagnosis).

Though the mechanisms of migraine on retinal vascular occlusion are likely multifactorial and currently elusive, several hypotheses have been proposed. First, alterations in endothelial and arterial function, which predispose to atherosclerosis and cardiovascular diseases, constitute an important link between migraine and vascular diseases24. It has been demonstrated that vascular endothelial dysfunctions are present in migraine patients and retinal vascular occlusion based on studies with biomarkers. For example, a number of ultrasound studies revealed a drop in flow mediated dilation (FMD) in brachial artery2527. Second, atrial fibrillation, which is a leading cause of cardiac emboli, was demonstrated to contribute to retinal vascular occlusion, and also significantly associated with MA28,29. Third, mutations of the methylenetetrahydrofolate reductase (MTHFR) gene, including MTHFR C677T and A1298C, affect homocysteine levels, causing hyperhomocysteinemia. Hyperhomocysteinemia is considered to be associated with migraine and retinal vascular occlusion30,31. Fourth, there is a connection between migraine and retinal vascular occlusion with hereditary cerebral small vessel diseases, including cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), and retinal vasculopathy with cerebral leukodystrophy (RVCL). Migraine and stroke are clinical features of both CADASIL and RVCL, whereas vascular retinopathy was featured in patients with RVCL32. Fifth, multiple coagulation abnormalities, such as platelet abnormalities and hypercoagulable states, have been detected in migraine patients with retinal vascular occlusion33,34. Sixth, migraine patients are at a higher risk of patent foramen ovale (PFO) and carotid arterial dissection, both of which may contribute to RAO. It was hypothesized that intracardiac right-to-left shunting through a PFO, accentuated by Valsalva maneuver, may predispose embolic events3538. Last but not least, during migraine attack, cerebral arterial vasospasm may hypothetically cause abnormal blood flow in the retina, and further contributes to acute retinal ischemia39. This hypothesis is supported by the evidence of significantly reduced vessel and perfusion density over macula in migraine patients. RAO is also commonly accompanied by acute cerebral infarctions at presentation40,41. The mechanism of vasospasm could explain the higher risk of TRAO we found in our migraine patients. However, since it may be a challenge to distinguish MA from TRAO, the identified percentage of TRAO may be overestimated due to incorrect diagnosis.

We have demonstrated that migraine patients aged 20–40 years old had the higher risk of retinal vascular occlusion than patients aged 40–60 years old or 60–80 years old. Similar to previous studies of migraine and stroke, it is probably in younger individuals that migraine would contribute the most to the risk of retinal vascular occlusion, as compared to later in life when traditional risk factors such as large artery atherosclerosis or atrial fibrillation are more common. Possible mechanisms of migraine and retinal vascular occlusion in younger individuals included vasospasm, MTHFR gene mutation, coagulation abnormalities, and PFO42.

Previous studies reported a doubling risk of ischemic stroke in patients with MA, but no clear association between stroke and MO35. The Taiwanese population-based cohort study showed similar findings23. Specifically, we found that both MA and MO having significantly higher risks of developing retinal vascular occlusion. Compared with MO, MA was associated with a significantly higher risk of RAO but not with retinal vascular occlusion. Since RAO is considered as an ocular analogue of cerebral ischemic stroke, the result of our study was consistent with the previous studies which linked migraine, particularly MA, with increased risk of ischemic stroke43.

Currently, there is no medication recommended for primary prevention of ischemic stroke in migraine patients35. Our study is the first large-scale analysis on NSAIDs, propranolol, and flunarizine in migraine patients, and we revealed their protective effects on risks of retinal vascular occlusion. These findings imply that active management of migraine could further reduce risks of retinal vascular occlusion. NSAIDs are anti‐inflammatory agents, which primarily inhibit cyclooxygenase, biosynthesis of prostaglandins, as well as cytokines production including Interleukin-1 (IL‐1). As neurogenic inflammation was considered a key factor in the mechanisms of migraine, NSAIDs are the first treatment choice for mild to moderate migraine attacks. Since proinflammatory cytokines such as IL‐1, and their inflammatory reactions are pathophysiological stimuli in endothelial dysfunction and the development of atherosclerosis, both of which contribute to the development of vascular occlusion including stroke and retinal vascular occlusion. Anti-inflammatory drugs may therefore be beneficial in preventing stroke and retinal vascular occlusion4446. On the other hand, previous study showed that there was protective effect of flunarizine on ischemic retinal injury in rat model, and elevated intracellular calcium concentration may play an important role47. Both triptans and ergotamine can induce vasoconstriction and potentially increase the risk of serious ischemic events, including stroke48. Though the evidence on stroke risk is conflicting in current studies, these potential effects may explain that in our study, triptans and ergotamine have no protective effect on risks of retinal vascular occlusion in migraine patients. Further research is warranted to elucidate the underlying pharmacological mechanisms between migraine treatment and retinal vascular occlusion. Additionally, we found that risk factors of retinal vascular occlusion included hypertension, diabetes, stroke, coronary artery disease, SLE, glaucoma, and CKD. Aggressive management of these diseases may reduce the risk of developing retinal vascular occlusion in migraine patients. Further studies on the specific treatment protocols for these comorbidities in retinal vascular occlusion are needed.

The strengths of our present study are the following: its large case number providing sufficient statistical power, and its cohort study design with a long follow-up period enabling clear time-sequence associations. Confounders including age, gender and comorbidities were adjusted to determine a more accurate association between migraine and retinal vascular occlusion. In addition, our study has thorough analyses of different subtypes of RAO, RVO, and migraine, as well as the migraine treatment effects. The higher risks of retinal vascular occlusion in migraine patients were also demonstrated among all age, gender, and follow-up time strata. However, our study has several limitations. First, in the NHIRD, no data are available on patients’ visual acuity, genetic sequencing, and laboratory data. Second, we cannot rule out the possibility of diagnostic code errors. For example, TRAO may be overestimated because the aura symptoms during MA might be misdiagnosed. For migraine, since it might have been misdiagnosed with other types of headaches, we strictly defined migraine as at least 3 records of a migraine diagnostic code made by a neurologist to make the diagnosis more reliable. Third, some migraine medications may have been prescribed for other indications, resulting in an overestimation of such prescriptions only for migraine. To address this issue, we only included migraine medications which were prescribed after the first diagnosis of migraine and prior to the study outcomes, and only those medications which have been prescribed for a least 2 times were included. On the other hands, some of the medications, such as NSAIDs, are non-prescription drugs, and over-the-counter preparations are available from pharmacies. These medications may be underestimated. Despite the selection bias mentioned above, our study consisted of a large sample size and used PS based on age, gender, index year, and comorbidities, which could potentially minimize the selection bias. Finally, the results of our study, which were representative of the entire Taiwanese population, may not apply to other ethnicities.

In conclusion, this large-scale study has demonstrated that people with migraine have increased risks of developing retinal vascular occlusion, RAO and RVO. The risks of retinal vascular occlusion were significantly higher in patients with MA and MO, and MA carried a significantly higher risk of RAO compared with MO. Among patients with migraine, NSAIDs, propranolol, and flunarizine may have a protective effect on risks of retinal vascular occlusion. Ophthalmologists, neurologists, and physicians should be aware of the possible risk of developing retinal vascular occlusion in migraine patients, and early ophthalmic evaluation and treatment initiation is strongly recommended.

Supplementary Information

Acknowledgements

The authors would like to thank Dr. Wai-Fung Paul Poon and Chia-Ing Li for the feedback on the draft of this study.

Author contributions

Study concept and design: K.-Y.H., C.-D.L., T.-J.H., C.-Y.L. Acquisition of data: K.-Y.H., C.-D.L., T.-J.H., Y.-H.H., F.-J.T. Analysis and interpretation of data: K.-Y.H., C.-D.L., T.-J.H., Y.-H.H., C.-Y.L. Drafting of the manuscript: K.-Y.H. Revising it for intellectual content: C.-D.L., T.-J.H., C.-Y.L. Final approval of the completed manuscript: K.-Y.H., C.-D.L., T.-J.H., Y.-H.H., F.-J.T., C.-Y.L.

Funding

This study was supported in part by Taiwan Ministry of Health and Welfare Clinical Trial Center (MOHW112-TDU-B-212-144004) and China Medical University Hospital (DMR-110-057, DMR-112-087), and National Science and Technology Council (MOST111-2320-B-039-038-MY2). We are grateful to Health Data Science Center, China Medical University Hospital, and National Science and Technology Council for providing administrative, technical and funding support. The funders had no role in the study design, data collection and analysis, the decision to publish, or preparation of the manuscript. No additional external funding was received for this study.

Data availability

The datasets used or analyzed during the present study are available from the corresponding author on reasonable request.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-024-66363-9.

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