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Atrial fibrillation in retinal vascular occlusion disease and non-arteritic anterior ischemic optic neuropathy

  • Josep Callizo ,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Validation, Writing – original draft, Writing – review & editing

    josep.callizo@med.uni-goettingen.de

    Affiliation Clinic for Ophthalmology, University of Göttingen, Göttingen, Germany

  • Nicolas Feltgen,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Supervision, Validation, Writing – review & editing

    Affiliation Clinic for Ophthalmology, University of Göttingen, Göttingen, Germany

  • Antje Ammermann,

    Roles Data curation, Formal analysis, Methodology, Writing – review & editing

    Affiliation Clinic for Ophthalmology, University of Göttingen, Göttingen, Germany

  • Janina Ganser,

    Roles Data curation, Investigation, Writing – review & editing

    Affiliation Clinic for Ophthalmology, University of Göttingen, Göttingen, Germany

  • Sebastian Bemme,

    Roles Data curation, Investigation, Software, Writing – review & editing

    Affiliation Clinic for Ophthalmology, University of Göttingen, Göttingen, Germany

  • Thomas Bertelmann,

    Roles Formal analysis, Software, Validation, Writing – review & editing

    Affiliation Clinic for Ophthalmology, University of Göttingen, Göttingen, Germany

  • Sebastian Pfeiffer,

    Roles Conceptualization, Formal analysis, Software, Writing – review & editing

    Affiliation Institute for Clinical Research GmbH, Georg-August University, Goettingen, Germany

  • Andre Duvinage,

    Roles Data curation, Writing – review & editing

    Affiliation Clinic for Prevention, Rehabilitation and Sports Medicine, Technical University of Munich, Munich, Germany

  • Klaus Gröschel,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Validation, Writing – review & editing

    Affiliation Department of Neurology, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany

  • Hans Hoerauf,

    Roles Conceptualization, Data curation, Supervision, Validation, Writing – review & editing

    Affiliation Clinic for Ophthalmology, University of Göttingen, Göttingen, Germany

  • Rolf Wachter

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Supervision, Validation, Writing – review & editing

    Affiliation Clinic for Cardiology and Pneumology, University of Göttingen, Göttingen, Germany

Abstract

Background

Patients with retinal vascular occlusion disease have an increased risk for ischemic stroke and share some risk factors with cerebrovascular disease. The purpose of this study was to analyze the prevalence of atrial fibrillation (AF) in subjects with retinal vascular occlusive disease and anterior ischemic optic neuropathy and to compare these data to an ischemic stroke group.

Methods

Prospective, observational single-center trial. Subjects with retinal artery occlusion (RAO), retinal vein occlusion (RVO) and anterior ischemic optic neuropathy (AION) were included. Patients with ischemic stroke (IS) from a previous observational trial were used as control. Investigation included 7-day Holter ECG, echocardiography, duplex ultrasonography of the carotid arteries, and 24-hour blood pressure monitoring. Further vascular risk factors were documented.

Results

During the 1-year study period, 101 patients were recruited. The control group with ischemic stroke consisted of 272 subjects. At inclusion, the prevalence of AF was 12% (RAO), 10.2% (RVO), 11.1% (NAION) and 15.8% (IS). The final prevalence after Holter ECG rose to 16% (RAO), 18.4% (RVO), 14.8% (NAION) and 26.5% (IS). No significant difference was measured between groups.

Conclusions

We detected a similar prevalence of AF in all groups. RVO patients tended to exhibit a higher AF detection rate and lower number needed to screen than RAO and NAION. The detection of AF rose considerably via Holter ECG. As a consequence, we recommend prolonged ECG monitoring in patients with acute ophthalmic vascular diseases.

Introduction

Acute retinal vascular occlusion, including arterial and venous occlusion, is the second most frequent retinal vascular disease worldwide.[1] Together with non-arteritic anterior ischemic optic neuropathy (NAION), they are among the most common causes of severe vision loss. Although the pathophysiology of these entities is not completely understood, patients exhibit a cardiovascular risk profile similar to that in ischemic heart and cerebral diseases[2,3].

Patients with retinal artery occlusion (RAO) and retinal vein occlusion (RVO) have a significantly increased risk for subsequent stroke and share similar risk factors (eg, atrial fibrillation (AF), carotid artery disease (CAD), hyperlipidemia, arterial hypertension, diabetes mellitus, smoking) with stroke patients.[4] Several studies have reported an association between RAO and stroke as well as acute myocardial infarction.[58] Among risk factors, AF is particularly relevant since it correlates with a five-fold increase in the stroke risk.[9] There is evidence that longer periods of monitoring can substantially increase AF’s detection.[10,11] It is now widely accepted that the prolonged monitoring of stroke patients by ECG identifies a significant number of patients with otherwise undetected paroxysmal AF.[12] Although retinal occlusion diseases share numerous risk factors with ischemic stroke (IS), no data on prolonged monitoring in either RAO or RVO patients exists. Screening for AF would therefore seem worthwhile. In a recent publication analyzing the cardiovascular profile in patients with central RAO, we found undiagnosed vascular risk factors in 78% of all patients[13]: 20% of the subjects presented AF. However, the role of isolated risk factors has not been analyzed in prospective studies. We hypothesized that, due to the similar vascular risk profile with stroke, patients with RAO and RVO may also reveal a higher prevalence of AF. Even though a vascular occlusion is presumed and several risk factors have been identified regarding NAION, there are few studies specifically addressing AF[14].

The main goal of this study was to analyze AF’s prevalence in subjects with retinal vascular occlusive disease and NAION and to compare these data to an ischemic stroke group’s.

Material and methods

From June 2011 to June 2012, patients were prospectively recruited to participate in an observational single-center trial conducted at the University Eye Clinic Goettingen. Twenty-five patients had RAO, 49 had RVO, and NAION was diagnosed in 27 patients. The study protocol was implemented in accordance with the Helsinki Declaration. Ethics committee approval was obtained, and each patient provided written informed consent before participating in the study. All patients were admitted and underwent a standardized investigation including history, examination, blood tests, 12-lead 7-day Holter ECG (in patients without AF on admission), echocardiography, duplex ultrasonography of the carotid arteries, and 24-hour blood pressure monitoring. Risk factors such as stroke, TIA, ischemic heart disease, valvular heart disease, peripheral vascular disease, nicotine abuse, arterial hypertension, diabetes mellitus, and hyperlipidemia were documented. AF was defined as atrial arrhythmia lasting at least 30 seconds. CAD severity was assessed based on NASCET criteria. 272 patients with IS from a previous observational trial (Find-AF) with the same protocol were used for comparison[12].

Statistical analyses were done using SAS® 9.3 and the significance level alpha was set to .05. The relative frequencies of AF known at the time of inclusion and after the study (overall prevalence) were compared with chi-square test. The single comparison of the pooled data of RAO, RVO and NAION against IS was the primary contrast, so no alpha adjustment was needed. We also conducted pairwise comparisons against IS and between the groups RVO, RAO and NAION. To analyze risk factor profiles, we used descriptive statistics. For frequencies, the chi-square test or Fisher’s exact test and in case of continuous variables the t-Test were carried out for pairwise comparisons against the IS group (RAO, RVO and NAION alone and pooled). Continuous variables are expressed as mean ±SD whereas categorical variables are expressed as a percentage.

Results

We recruited 101 patients during the 1-year study period. Of these, 25 (24.8%) had RAO, 49 (48.5%) RVO and 27 (26.7%) NAION. The study participants’ characteristics are shown in Table 1.

thumbnail
Table 1. Patient baseline characteristics.

* single pairwise comparison of RAO, RVO or NAION against IS shows statistical significance (p<0.05). ** pooled data of RAO, RVO and NAION against IS shows statistical significance (p<0.05).

https://doi.org/10.1371/journal.pone.0181766.t001

Atrial fibrillation

At inclusion, the prevalence of known AF was 12% (RAO), 10.2% (RVO), 11.1% (NAION) and 15.8% (IS). No significant difference was measured between groups. No subject in the RAO, RVO or NAION group was newly diagnosed with AF on admission ECG. During the study, 312 (97.8%) patients from all 4 groups without known AF underwent heart-rhythm monitoring via a 7-day Holter ECG. Atrial fibrillation was detected in a total of 35 of them (1 RAO, 4 RVO, 1 NAION, 29 IS). There was no recognizable detection-rate pattern at any given time point during the monitoring period (mean time of detection: 3 days; range: 1–7 days) (Fig 1). The final prevalence of AF after Holter ECG rose to 16% (RAO), 18.4% (RVO) and 14.8% (NAION) and was similar in the three ophthalmic groups (p>0.05). The final prevalence of AF after Holter ECG was 26.5% in the IS group (Fig 2). The single and pooled analysis of AF presence revealed no significant difference between IS and any of the other three groups. Number needed to screen (NNS) to detect AF in RAO and NAION was 21. NNS was 10.5 in RVO, similar to that in IS (7.9).

thumbnail
Fig 1. Detection rate of AF during the 7-day Holter ECG.

Holter was perfomed among the 312 subjects (all groups) without previously known AF. On Day1, AF was detected in 3.8% of cases. After Day 7 detection rate increased to 11.2%.

https://doi.org/10.1371/journal.pone.0181766.g001

thumbnail
Fig 2. Prevalence of atrial fibrillation initial and after investigation with 7-day Holter ECG.

Significant difference between groups was not observed.

https://doi.org/10.1371/journal.pone.0181766.g002

Cardiovascular risk factors in AF patients

In RAO and NAION, AF was detected in patients with a high cardiovascular burden of 5 to 6 risk factors, including ischemic heart disease and history of myocardial infarction. On the other hand, all RVO patients with newly diagnosed AF presented three risk factors. To estimate the risk of stroke in patients with AF, we applied the CHA2DS2-VASc Score.[15] Oral anticoagulation is recommended for patients scoring 2 and above. All of our patients with newly detected AF had a score >2, thus oral anticoagulation was recommended.

Carotid artery disease

Among other risk factors, we also planned to screen for CAD due to its relevance. We carried out Duplex ultrasonography of the carotid arteries in 360 (96.5%) patients. A NASCET score of >50% (high-moderate to severe stenosis) was found in 12% of RAO, 8.2% of RVO, and in 3.7% of NAION patients (Fig 3). In comparison, 15.8% in the IS cohort had a score >50% in the IS cohort, which was significantly higher than the pooled prevalence in RAO, RVO and NAION (p = 0.04). However, we observed no difference in CAD between IS and RAO patients.

thumbnail
Fig 3. Prevalence of carotid artery disease after duplex ultrasonography of the carotid arteries.

** single pairwise and pooled comparison of RAO, RVO and NAION against IS shows statistical significance (p<0.05).

https://doi.org/10.1371/journal.pone.0181766.g003

Risk factors that significantly differ between groups

Patients in the RVO (p = 0.01) and NAION (p = 0.01) groups were younger than in the IS. The prevalence of hypertension in the RAO cohort (72%) resembled that in the IS (73.9%). However, it was significantly lower in RVO (57.1%, p = 0.02) and NAION (40.7%, p<0.01). Blood pressure values (especially diastolic) were higher in the eye cohorts. Systolic pressure was higher in the RAO (157.5 ±31.7) than in the other groups, particularly than in IS (144 ±25.0, p = 0.02). Diastolic blood pressure was significantly higher in RAO as well as in RVO and NAION as compared to IS. A history of previous stroke was more frequent in the IS cohort (15.4%). This difference became apparent in the pooled analysis (p<0.01) and, in the single analysis, concerning RVO individuals only (p = 0.01).

Risk factors that did not differ between groups

Patients did not significantly differ in gender and BMI. The prevalence of history of ischemic heart disease, previous peripheral artery disease, previous myocardial infarction, smoking, diabetes and hyperlipidemia revealed no statistically significant difference between groups either. Although not significant, a previous ischemic heart disease diagnosis was more common among RAO patients (28%) than in the other groups. Similarly, previous peripheral artery disease, previous myocardial infarction, and smoking were also more prevalent among RAO patients, but this difference was not significant either. The percentage of diabetes and hyperlipidemia was highest in the NAION and the IS groups, respectively.

Discussion

Our study’s main finding was the similar prevalence of AF in RAO (16.0%), RVO (18.4%), and NAION (14.8%) with no significant differences between groups. Furthermore, IS patients revealed the highest prevalence of AF and the lowest NNS (7.9). Their cardiovascular risk profile was very similar to those of RAO and NAION patients. Also remarkable was the fact that, despite being of similar or younger age, RVO patients tended to exhibit a higher AF detection rate and lower NNS than RAO and NAION. In RVO especially, AF’s detection via Holter ECG rose considerably (from 10% to 18.4%), reaching a higher level than in conjunction with arterial occlusions.

Recent studies have shown that after RAO and RVO, patients have an increased risk of ischemic stroke and myocardial infarction, particularly during the first weeks after the occlusion.[8,16,17],[18] It is unclear whether this is an epiphenomenon explained by diseases sharing similar risk factors (eg, CAD is a strong risk factor for both IS and RAO, and atherosclerosis is a risk factor for myocardial infarction, ischemic stroke and RAO), or by sharing the same pathophysiology.

Retinal vascular occlusions are also a predictor for mortality. In a prospective population-based cohort study of 3,280 adults, Siantar et al investigated the relationship between eye diseases and mortality.[19] They found that only diabetic retinopathy and RVO were associated with increased cardiovascular mortality. Interestingly, RVO was a stronger predictor for mortality (hazard ratio 3.14; 95% CI, 1.26–7.73) than diabetic retinopathy (hazard ratio 1.57; 95% CI, 1.05–2.43). Tsaloumas et al followed up 549 patients with RVO over a mean 9 years[20] and demonstrated that death from acute myocardial infarction was significantly higher in RVO patients compared to other causes (23.1% versus 14.4%, p<0.05). Our results support the existing literature reporting a significant burden of vascular risk factors among these patients. In this respect, several population-based retrospective studies demonstrated that patients with retinal occlusion disease have a higher prevalence of cardiovascular risk factors than a control population.[3] A comprehensive, prompt diagnostic workup should thus be mandatory, since it enables us to identify a substantial number of patients with previously undiagnosed risk factors. In a previous study of ours, we demonstrated that 78% of RAO patients had undiagnosed vascular risk factors.[13] Among them, AF is especially relevant since it raises the risk for stroke dramatically[21], with a reported five-fold higher risk[22]. Another risk factor is CAD, which, especially when symptomatic, magnifies significantly the risk of stroke[23] and acute coronary events[24].

AF’s pathophysiologic role, especially in its paroxysmal presentation, is poorly understood. In a single case report[25], paroxysmal AF has been causally linked to RAO in a patient without other risk factors for RAO, but no systematic analysis of a larger patient cohort exists. Detecting paroxysmal AF is challenging because episodes are often brief, unpredictable, and frequently asymptomatic or accompanied by unspecific symptoms. The thromboembolic risk is similar in paroxysmal and persistent AF[26], and even short episodes lasting a few minutes are associated with higher rates of ischemic events[27]. The reported prevalence of AF in patients with retinal occlusions is highly variable. In most of the published data, the actual diagnostic method is not mentioned. In their population-based study, Chang and co-workers found that RAO exacerbated the risk for acute coronary syndrome. AF had been diagnosed in 1.16%[28] of their cohort of RAO patients. A population-based cohort study to determine the prevalence of RVO in Germany demonstrated a significant association between atrial fibrillation and RVO (Odds ratio 6.51, 95% CI 3.18–13.32).[29] In that cohort, a history of AF was positive in 3.1% of all participants and in 15.2% of those with RVO. Similarly, in a retrospective case-control study including RVO, 12.6% of the patients presented a history of AF.[30] The European Society of Cardiology’s most recent guidelines recommend at least three days of continuous monitoring, although 9 to 16% of stroke patients may have paroxysmal AF detectable by Holter ECG[31], external cardiac monitors[10] or implantable loop recorders.[11] Extending the electrocardiographic monitoring duration from 24 hours to 30 days increased the proportion of patients diagnosed with AF from 4.38% to 15.2%, suggesting a monitoring strategy longer than 24 hours is associated with higher detection rates of AF.[32] After 7 days of Holter ECG monitoring, we identified an AF prevalence of 16% (RAO), 18.4% (RVO) and 14.8% (NAION), reflecting a rise in the diagnosis of AF among RVO patients in particular (from 10.2% to 18.4%). Anderson et al calculated the odds for hemispheric and retinal ischemia in patients with AF and medically treated carotid stenosis[33], finding that retinal ischemia was more often associated with a carotid stenosis than with AF. This observation resembles that in a previous study of ours.[13] However, in the present study we detected a higher prevalence of AF than CAD after a prospective analysis in both arterial and venous occlusions. In an analysis of patients with ischemic stroke, TIA, RAO, and amaurosis fugax, Mead et al found that AF was more common in cerebral than ocular events.[34] In our study, AF was also more common in IS than in the ophthalmic groups, but the difference was not statistically significant. In a recent publication, Hayreh and Zimmermann report a worse carotid artery stenosis in patients with amaurosis fugax and ocular ischemic syndrome compared to retinal artery occlusion and NAION[35].

Taking an approach we share, Plunkett et al emphasized the importance of carefully screening for AF among RAO and RVO patients.[36] They advocate that if AF is present, a serious risk of stroke and systemic thromboembolism will persist if such patients are not anticoagulated. Christiansen et al published data supporting this opinion.[4] They were able to show that retinal vascular occlusions, either RAO or RVO, are independent predictors of stroke and systemic thromboembolism in patients with AF. Similarly, Park et al analyzed the periods of higher risk for cardiovascular events after retinal occlusions and showed that after central RAO, patients suffer an increased risk of stroke, particularly during the first post-RAO week with an incidence-rate ratio of stroke/myocardial infarction of 44.51 (95% CI, 27.07–73.20).[8] Analogously, they observed an increased risk for stroke after RVO, particularly during the first 30 days after RVO with an incidence rate ratio of stroke/AMI of 2.66 (95% CI, 2.06–3.43).[16] There are few population-controlled studies on NAION and its risks. In a review publication, Biousse et al postulate that although ischemic optic neuropathies and cerebrovascular diseases share some risk factors, they represent two entities and do not require the same work-up.[37] However, the prevalence of AF and ischemic heart disease observed in our cohort was similar in all groups, with a previous stroke being more common in the NAION group. An elevated stroke risk after NAION has also been recently reported[38].

Conclusions

Our study is the first to investigate the use of 7-day Holter ECG in RAO, RVO and NAION patients. Although AF’s pathophysiologic role in arterial occlusion can only be assumed, and whereas venous occlusion is not a cardio-embolic disease, the present data reveal greater AF detection via prolonged monitoring in all groups in a percentage similar to patients who have had an ischemic stroke. The number needed to screen to detect AF in the ophthalmic groups ranged between 10.5 and 21, in comparison to 7.9 in IS patients. As a consequence, based on Holter ECG’s noninvasiveness and proven cost-effectiveness, we recommend prolonged monitoring in patients presenting such acute ophthalmic vascular diseases. Furthermore, as all our patients with newly detected AF had a high estimated risk of stroke (and due to their CHA2DS2-VASc scores), we recommended oral anticoagulation.

The main limitations of this study are the low number of patients included in the ophthalmic groups as well as the use of a historic cohort as a comparison. Further prospective studies recruiting a larger number of patients are necessary to confirm the role of AF and other cardiovascular risk factors in patients with acute ophthalmic vascular diseases.

References

  1. 1. Ehlers JP, Fekrat S. Retinal vein occlusion: beyond the acute event. Surv Ophthalmol. 2011;56: 281–299. pmid:21601903
  2. 2. Wong TY, Klein R, Klein BE, Tielsch JM, Hubbard L, Nieto FJ. Retinal microvascular abnormalities and their relationship with hypertension, cardiovascular disease, and mortality. Surv Ophthalmol. 2001;46: 59–80. pmid:11525792
  3. 3. Bertelsen M, Linneberg A, Christoffersen N, Vorum H, Gade E, Larsen M. Mortality in patients with central retinal vein occlusion. Ophthalmology. 2014;121: 637–642. pmid:24053999
  4. 4. Christiansen CB, Lip GYH, Lamberts M, Gislason G, Torp-Pedersen C, Olesen JB. Retinal vein and artery occlusions: a risk factor for stroke in atrial fibrillation. J Thromb Haemost JTH. 2013;11: 1485–1492. pmid:23663383
  5. 5. Chang Y-S, Jan R-L, Weng S-F, Wang J-J, Chio C-C, Wei F-T, et al. Retinal artery occlusion and the 3-year risk of stroke in Taiwan: a nationwide population-based study. Am J Ophthalmol. 2012;154: 645–652.e1. pmid:22809785
  6. 6. Helenius J, Arsava EM, Goldstein JN, Cestari DM, Buonanno FS, Rosen BR, et al. Concurrent acute brain infarcts in patients with monocular visual loss. Ann Neurol. 2012;72: 286–293. pmid:22926859
  7. 7. Lee J, Kim SW, Lee SC, Kwon OW, Kim YD, Byeon SH. Co-occurrence of acute retinal artery occlusion and acute ischemic stroke: diffusion-weighted magnetic resonance imaging study. Am J Ophthalmol. 2014;157: 1231–1238. pmid:24503410
  8. 8. Park SJ, Choi N-K, Yang BR, Park KH, Lee J, Jung S-Y, et al. Risk and Risk Periods for Stroke and Acute Myocardial Infarction in Patients with Central Retinal Artery Occlusion. Ophthalmology. 2015;122: 2336–2343.e2. pmid:26298716
  9. 9. Wolf PA, Abbott RD, Kannel WB. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. Stroke J Cereb Circ. 1991;22: 983–988.
  10. 10. Gladstone DJ, Spring M, Dorian P, Panzov V, Thorpe KE, Hall J, et al. Atrial fibrillation in patients with cryptogenic stroke. N Engl J Med. 2014;370: 2467–2477. pmid:24963566
  11. 11. Sanna T, Diener H-C, Passman RS, Di Lazzaro V, Bernstein RA, Morillo CA, et al. Cryptogenic stroke and underlying atrial fibrillation. N Engl J Med. 2014;370: 2478–2486. pmid:24963567
  12. 12. Stahrenberg R, Weber-Krüger M, Seegers J, Edelmann F, Lahno R, Haase B, et al. Enhanced detection of paroxysmal atrial fibrillation by early and prolonged continuous holter monitoring in patients with cerebral ischemia presenting in sinus rhythm. Stroke J Cereb Circ. 2010;41: 2884–2888. pmid:20966415
  13. 13. Callizo J, Feltgen N, Pantenburg S, Wolf A, Neubauer AS, Jurklies B, et al. Cardiovascular Risk Factors in Central Retinal Artery Occlusion. Ophthalmology. 2015; pmid:26231133
  14. 14. Cestari DM, Gaier ED, Bouzika P, Blachley TS, Lott LBD, Rizzo JF, et al. Demographic, Systemic, and Ocular Factors Associated with Nonarteritic Anterior Ischemic Optic Neuropathy. Ophthalmology. 2016;123: 2446–2455. pmid:27659545
  15. 15. Lip GYH, Nieuwlaat R, Pisters R, Lane DA, Crijns HJGM. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: The euro heart survey on atrial fibrillation. Chest. 2010;137: 263–272. pmid:19762550
  16. 16. Park SJ, Choi N-K, Yang BR, Park KH, Woo SJ. Risk of stroke in retinal vein occlusion. Neurology. 2015;85: 1578–1584. pmid:26453647
  17. 17. Rim TH, Kim DW, Han JS, Chung EJ. Retinal vein occlusion and the risk of stroke development: a 9-year nationwide population-based study. Ophthalmology. 2015;122: 1187–1194. pmid:25726093
  18. 18. Woo SCY, Lip GYH, Lip PL. Associations of retinal artery occlusion and retinal vein occlusion to mortality, stroke, and myocardial infarction: a systematic review. Eye Lond Engl. 2016; pmid:27256303
  19. 19. Siantar RG, Cheng C-Y, Gemmy Cheung CM, Lamoureux EL, Ong PG, Chow KY, et al. Impact of Visual Impairment and Eye diseases on Mortality: the Singapore Malay Eye Study (SiMES). Sci Rep. 2015;5: 16304. pmid:26549406
  20. 20. Tsaloumas MD, Kirwan J, Vinall H, O’Leary MB, Prior P, Kritzinger EE, et al. Nine year follow-up study of morbidity and mortality in retinal vein occlusion. Eye Lond Engl. 2000;14: 821–827. pmid:11584836
  21. 21. Cairns JA, Connolly S, McMurtry S, Stephenson M, Talajic M, CCS Atrial Fibrillation Guidelines Committee. Canadian Cardiovascular Society atrial fibrillation guidelines 2010: prevention of stroke and systemic thromboembolism in atrial fibrillation and flutter. Can J Cardiol. 2011;27: 74–90. pmid:21329865
  22. 22. Miyasaka Y, Barnes ME, Gersh BJ, Cha SS, Bailey KR, Seward JB, et al. Changing trends of hospital utilization in patients after their first episode of atrial fibrillation. Am J Cardiol. 2008;102: 568–572. pmid:18721513
  23. 23. Grotta JC. Clinical practice. Carotid stenosis. N Engl J Med. 2013;369: 1143–1150. pmid:24047063
  24. 24. Divya KP, Sandeep N, Sarma S, Sylaja PN. Risk of Stroke and Cardiac Events in Medically Treated Asymptomatic Carotid Stenosis. J Stroke Cerebrovasc Dis Off J Natl Stroke Assoc. 2015;24: 2149–2153. pmid:26142257
  25. 25. Kirwan C, Sugrue D, O’Keefe M. Central retinal artery occlusion due to paroxysmal atrial fibrillation: the importance of Holter monitoring. Ir J Med Sci. 2008;177: 277–278. pmid:18449477
  26. 26. Hohnloser SH, Pajitnev D, Pogue J, Healey JS, Pfeffer MA, Yusuf S, et al. Incidence of stroke in paroxysmal versus sustained atrial fibrillation in patients taking oral anticoagulation or combined antiplatelet therapy: an ACTIVE W Substudy. J Am Coll Cardiol. 2007;50: 2156–2161. pmid:18036454
  27. 27. Healey JS, Connolly SJ, Gold MR, Israel CW, Van Gelder IC, Capucci A, et al. Subclinical atrial fibrillation and the risk of stroke. N Engl J Med. 2012;366: 120–129. pmid:22236222
  28. 28. Chang Y-S, Chu C-C, Weng S-F, Chang C, Wang J-J, Jan R-L. The risk of acute coronary syndrome after retinal artery occlusion: a population-based cohort study. Br J Ophthalmol. 2015;99: 227–231. pmid:25147366
  29. 29. Ponto KA, Elbaz H, Peto T, Laubert-Reh D, Binder H, Wild PS, et al. Prevalence and risk factors of retinal vein occlusion: the Gutenberg Health Study. J Thromb Haemost JTH. 2015;13: 1254–1263. pmid:25894549
  30. 30. Koizumi H, Ferrara DC, Bruè C, Spaide RF. Central retinal vein occlusion case-control study. Am J Ophthalmol. 2007;144: 858–863. pmid:17916319
  31. 31. Wachter R, Gröschel K, Gelbrich G, Hamann GF, Kermer P, Liman J, et al. Holter-electrocardiogram-monitoring in patients with acute ischaemic stroke (Find-AFRANDOMISED): an open-label randomised controlled trial. Lancet Neurol. 2017;
  32. 32. Dussault C, Toeg H, Nathan M, Wang ZJ, Roux J-F, Secemsky E. Electrocardiographic Monitoring for Detecting Atrial Fibrillation After Ischemic Stroke or Transient Ischemic Attack. Circ Arrhythm Electrophysiol. 2015;8: 263–269. pmid:25639643
  33. 33. Anderson DC, Kappelle LJ, Eliasziw M, Babikian VL, Pearce LA, Barnett HJM. Occurrence of hemispheric and retinal ischemia in atrial fibrillation compared with carotid stenosis. Stroke J Cereb Circ. 2002;33: 1963–1967.
  34. 34. Mead GE, Lewis SC, Wardlaw JM, Dennis MS. Comparison of risk factors in patients with transient and prolonged eye and brain ischemic syndromes. Stroke J Cereb Circ. 2002;33: 2383–2390.
  35. 35. Hayreh SS, Zimmerman MB. OCULAR ARTERIAL OCCLUSIVE DISORDERS AND CAROTID ARTERY DISEASE. Ophthalmol Retina. 2017;1: 12–18. pmid:28547004
  36. 36. Plunkett O, Lip PL, Lip GYH. Atrial fibrillation and retinal vein or artery occlusion: looking beyond the eye. Br J Ophthalmol. 2014;98: 1141–1143. pmid:24642665
  37. 37. Biousse V, Newman NJ. Ischemic Optic Neuropathies. N Engl J Med. 2015;372: 2428–2436. pmid:26083207
  38. 38. Lee Y-C, Wang J-H, Huang T-L, Tsai R-K. Increased Risk of Stroke in Patients With Nonarteritic Anterior Ischemic Optic Neuropathy: A Nationwide Retrospective Cohort Study. Am J Ophthalmol. 2016;170: 183–189. pmid:27521605