Association Between Subconjunctival Hemorrhage and Acute Coronary Syndrome: A 14-Year Nationwide Population-Based Cohort Study

Purpose: Subconjunctival hemorrhage (SCH) is usually a benign ocular disorder that causes painless, redness under the conjunctiva. However, since SCH and acute coronary syndrome (ACS) share many vascular risk factors, studies have suggested that these two disorders may be significantly associated with each other, and evaluate the concomitance of ACS in patients with SCH.

Methods: This population-based cohort study, enrolled 35,260 Taiwanese patients, and used the Taiwan National Health Insurance Research Database to identify patients with ACS and SCH. Outcomes were compared between the with and without SCH groups. The study population was followed until the date of ACS onset, the date of withdrawal, death, or December 31st 2013, whichever came first.

Results: Of the 85,925 patients identified with SCH between 1996 and 2013, 68,295 were excluded based on the study's exclusion criteria, and a total of 17,630 patients with SCH who were diagnosed by ophthalmologists between 2000 and 2012 were eligible for analysis. After 1:1 propensity score matching for 5-year age groups, gender, and the index year, the results showed that SCH was more common in the 40–59 age group (53.82%) and females (58.66%). As for the ACS-related risk factors, patients with diabetes mellitus (aHR = 1.58, 95% CI = [1.38, 1.81]), hypertension (aHR = 1.71, 95% CI = [1.49, 1.96]) and patients taking aspirin (aHR = 1.67, 95% CI = [1.47, 1.90]) had a notably higher risk of ACS. However, it was found that there were no significant differences in the occurrence of ACS between the non-SCH and SCH patients.

Conclusion: This results of this study regarding the risk factors and epidemiology of SCH and ACS were in keeping with previously reported findings. However, the results revealed no significant association between SCH and ACS.

Introduction

Subconjunctival hemorrhage (SCH) is a common occurrence in emergency departments and outpatient clinics. Under most circumstances, SCH is a self-limiting disease that typically causes acute but painless ocular redness; a reduction in visual acuity is a rare occurrence. However, the occurrence of a red eye can trigger the patient's self-awareness of their eye and cardiovascular health, and can lead them to seek medical help, so ophthalmologists and physicians are often faced with SCH patients during their lifetime clinic practice (1).

A previous study conducted over 2 years by Cagini et al. (2) evaluated the causes of patient visits to the Eye Emergency Department. Of the 10,090 patients included in the study, most had ocular infection or trauma; 11.7% had SCH, which made SCH the third cause of patient visits. Furthermore, a study by Channa et al. (3) categorized the visits of 11,929,955 eye-related emergency department patients from 2006 to 2011, and SCH was responsible for just 3% of ocular problems across the United States.

SCH has some typical clinical features, such as the acute but normally painless appearance of redness under the conjunctiva, however it can often be asymptomatic (4). Although SCH doesn't usually cause any pain, bleeding under the conjunctiva still terrifies most patients, due to the obvious redness in the eye, which can even impact their daily social activities. Furthermore, recurrent SCH can be an indicator of underlying risk factors for cardiovascular diseases, which seem to make this red-eye syndrome more hazardous to the patients. Typical causes of SCH include orbital injuries, acute conjunctiva inflammation, conjunctival tumors, ocular surgeries and contact lens usage (4). These risk factors for SCH can be further divided into traumatic and spontaneous causes, representing two different clinical pathways for physicians to diagnose and evaluate. Contact lens wearing is a common reason for traumatic SCH as when damaged they can cause trauma directly to the conjunctiva during wearing.

Acute coronary syndrome (ACS) is a major health issue in developed countries, as it requires a large amount of caregiving and can be a heavy economic burden for both families and the country (5). The mortality and morbidity of ACS are noteworthy. ACS is a significant cause of death and disability in the Asia-Pacific region (6) with an in-hospital mortality exceeding 5%. Cardiovascular diseases can also show significant clinical symptoms in the patients' eyes due to the similarity between cardiovascular risk factors in different organs, meaning that the two common diseases, SCH and ACS, may often be linked together by clinicians.

It has been shown that SCH has a significant association with both gastrointestinal bleeding and dermatologic vasculature diseases (DVDs) (7). A 57-year-old man exhibited recurrent SCH for ~1 year before he was diagnosed with adenocarcinoma, without any family history of the condition (8). Another retrospective cohort study using the Taiwan National Health Insurance Research Database (NHIRD) revealed that patients with DVDs may have a higher risk of SCH, as the control group developed SCH with a significantly higher adjusted hazard ratio (aHR) of 2.69 compared with the study group (p < 0.05). If spontaneous SCH recurs in the patient within 1 month, the physician should check their coagulopathy profiles to identify any bleeding irregularities. Considering that many common risk factors of SCH are related to vascular or cardiovascular disabilities, the authors wondered if there was any correlation between SCH and ACS.

Materials and Methods

Data Source

The datasets used in this study are held by the Taiwan Ministry of Health and Welfare (MOHW). The Ministry of Health and Welfare must approve our application to access the data. Any researcher interested in accessing these datasets can submit an application form to the Ministry of Health and Welfare requesting access. Please contact the staff of MOHW (Email: c3RjYXJvbHd1JiN4MDAwNDA7bW9ody5nb3YudHc=) for further assistance. Taiwan Ministry of Health and Welfare Address: No.488, Sec. 6, Zhongxiao E. Rd., Nangang Dist., Taipei City 115, Taiwan (R.O.C.). Phone: +886-2-8590-6848. The authors confirm that they had no special access privileges others would not have.

Claims data of 1 million beneficiaries used in this retrospective cohort study was randomly sampled form the Taiwan National Health Insurance Research Database (NHIRD) and was named as the Longitudinal Health Insurance Database (LHID). The NHIRD was derived from a single-payer National Health Insurance (NHI) program launched in Taiwan on Mar. 1st, 1995. So far, there were ~99.9% of residents in Taiwan in the healthcare system. It contains the information regarding gender, date of birth, enrollment and withdrawal dates, dates of inpatient and outpatient encounters, the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9CM) codes for diagnoses and procedures, and details of prescription drugs. De-identification and anonymization were used to protect the privacy of beneficiaries in the database. Therefore, patient consent was not required to access the NHIRD. This study was approved by the Research Ethics Committee at China Medical University and Hospital [CMUH104-REC2-115(AR-4)].

Study Population

The aim of this retrospective cohort study is to explore the association of subconjunctival hemorrhage (SCH) (ICD-9-CM: 372.72) with acute coronary syndrome (ICD-9-CM: 410, 411, and 413). Only patients diagnosed with SCH by ophthalmologists and with at least one hospital admission or at least two outpatient encounters between 2000 and 2012 were included in this study, and they were defined as cases. Others were defined as controls. The study population was followed until the date of acute coronary syndrome onset, the date of withdrawal or death, or December 31st, 2013.

The index date for cases was the date of initial diagnosis of SCH, and the index date for controls was the random pseudo-diagnosis date between 1996 and 2013. The index date for the control group was randomly allotted the date between 2000 and 2013.The exclusion criteria for the case and control groups are as follows: (a) patients with traumatic SCH (ICD-9-CM: 850-854, 871, 921 and 959.01); (b) index date not between enrollment and withdrawal date; (c) patients with acute coronary syndrome before index date; (d) patients aged <20 years; (e) follow-up time less than or equal to 0; (f) missing values for sex.

Comorbidities involved are as follows: chronic obstructive pulmonary disease (COPD) (ICD-9-CM: 490 to 496), diabetes mellitus (ICD-9-CM: 250), hypertension (ICD-9-CM: 401 to 405), hyperlipidemia (ICD-9-CM: 272.0), chronic kidney disease (ICD-9-CM: 403, 404, 585, and 586), chronic liver disease (ICD-9-CM: 571.4) and hemorrhagic condition (ICD-9-CM: 287). Medication considered is aspirin. Patients with at least one hospital admission or at least two outpatient encounters due to any of comorbidities before index date were identified as suffering the comorbidity.

Controls were randomly matched to cases in ratio of 1:1 using propensity score matching on 5-year age group, gender and index year. Figure 1 displays the flowchart of the study population selection.

FIGURE 1

Figure 1. Flowchart of the study population selection.

Statistical Analysis

Categorical variables were summarized by counts and percentages; continuous variables were summarized by means and standard deviations (SDs). Standardized mean differences (SMDs) were performed to test for differences in distributions of variables between cases and controls. Cumulative incidence curves were estimated by the Kaplan-Meier method, and the difference between curves was examined by the log-rank test. The incidence rate was calculated as the number of events divided by the person-time-at-risk throughout the follow-up period. Hazard ratios (HRs) with 95% confidence intervals (95% CIs) were computed from univariate Cox proportional hazards models, and adjusted hazard ratios (aHRs) with 95% CIs were computed from multivariate Cox proportional hazards models with covariates of age, gender, comorbidities, and medication. The significant level was set at 0.05. Statistical analyses were accomplished by the SAS 9.4 software (SAS Institute Inc., Cary, NC).

Results

Table 1 shows the characteristics of the patients with and without SCH. SCH was more common in the 40–59 age group (53.82%) and females (58.66%). There were notable differences between the two groups for the incidence of COPD (21.39 vs. 25.63%, SMD = 0.1000) and chronic liver disease (14.27 vs. 18.76%, SMD = 0.1214) comorbidities. The average follow-up time was 7.5 ± 3.7 years for the controls and 7.7 ± 3.6 years for the cases. Figure 2 shows the cumulative incidence of ACS in patients with and without SCH using the Kaplan-Meier method. It reveals that there was no significant difference in the cumulative incidence of ACS between the controls and the cases (p = 0.1370).

TABLE 1

Table 1. Characteristics of patients with and without SCH.

FIGURE 2

Figure 2. Cumulative incidence of acute coronary syndrome in patients with and without SCH using the Kaplan-Meier method.

Table 2 shows the Cox regression analyses of risk factors associated with ACS among all patients. There was no significant difference in the risk of ACS between non-SCH and SCH patients (aHR = 1.02, 95% CI = [0.91, 1.14]). ACS was increasingly common with advancing age (40–59 age group: aHR = 4.39, 95% CI = [2.86, 6.76]; ≥60 age group: aHR = 9.59, 95% CI = [6.21, 14.81]). Males were more likely to develop ACS compared with females (aHR = 1.57, 95% CI = [1.40, 1.76]). Patients with COPD (aHR = 1.30, 95% CI = [1.15, 1.48]), diabetes mellitus (aHR = 1.58, 95% CI = [1.38, 1.81]), hypertension (aHR = 1.71, 95% CI = [1.49, 1.96]), hyperlipidemia (aHR = 1.27, 95% CI = [1.02, 1.58]), or chronic kidney disease (aHR = 1.44, 95% CI = [1.16, 1.79]) were at higher risk of developing ACS. However, patients with hemorrhagic disease were at lower risk of ACS (aHR = 0.27, 95% CI = [0.09, 0.85]). Patients taking aspirin had a higher risk of developing ACS (aHR = 1.67, 95% CI = [1.47, 1.90]).

TABLE 2

Table 2. Cox regression analyses of risk factors associated with acute coronary syndrome among patients.

Table 3 compares the incidence of ACS between patients with and without SCH in different stratifications. It was found that there were no significant differences for any stratifications between non-SCH and SCH patients.

TABLE 3

Table 3. Comparison of incidence of acute coronary syndrome between patients with and without SCH in different stratifications.

Discussion

To the best of our knowledge, this was the first nationwide, population-based study to evaluate the association between SCH and ACS. Although many patients and clinicians have suspected that SCH could be an early sign of ACS, our adjusted data revealed that there was no significant association between these two diseases.

A previous study with 8,726 subjects by Fukuyama et al. (9) reported that the incidence rate of SCH was 2.9% (n = 225), and no significant sexual or age difference was found. However, this study still first indicated the risk factors of SCH, such as systemic hypertension, diabetes. Our data, which is more recent, and other studies (10, 11) have shown that the incidence of both ACS and SCH increase with age, ACS especially (12). It is generally believed that systemic hypertension is a significant cause of SCH in the elderly, while contact-lens-induced injury is the primary cause of SCH in younger patients (13). Another article by Mimura et al. (11), which studied a total of 161 SCH patients, whose age varied from 1 to 94 years old, showed that the peak age of SCH onset was between 61 and 70 years. The elastic fibers and other connective tissues under the conjunctiva tend to become more fragile with age (1), which also supports the theory that SCH is more predominant in the elderly and explains why it has an age-related increase. As for ACS, analyses of data from the United Kingdom revealed that more than twice as many individuals >75 years of age (n = 55,028) died from ischemic heart disease, a kind of ACS, compared with younger individuals <75 years (n = 25,540) (14).

According to previous research, SCH (15) can be further divided into traumatic and spontaneous SCH, depending on its cause (16). Traumatic SCH may be attributed to the wearing of contact lens or other eye injuries, while spontaneous SCH is more common in older patients. This was observed in our data. Furthermore, previous research has shown that female ethnic groups are more vulnerable to ACS compared with males (17). Our data also showed that the HRs were higher in males, and that females had more SCH cases than males, with the incidence rate increasing with age.

Clinical risk factors for the disease are always a focus of research. A meta-analysis by Dong et al. (10) reported that diabetes is a risk factor for ACS in both women and men. A case-controlled study by Linares et al. (15) found that the OR of ACS was notably higher in those patients with hypertension, diabetes mellitus or a history of smoking. The risk factors for SCH include arteriosclerosis, hyperlipidemia, diabetes, and systemic hypertension (1, 4), and a study by Mimura et al. (13) reported that the primary risk factor was hypertension. Furthermore, a study by Pitts et al. (18) demonstrated that spontaneous SCH is a sign of hypertension.

As you can see, there are a few common risk factors between ACS and SCH. According to our data, risk factors such as diabetes, mellitus, hypertension, and hyperlipidemia have a significant association with ACS. It should be noted that Hubacek et al. reported that total cholesterol might not be a risk factor for ACS (19). In addition, cardiovascular disease is also regarded as a risk factor for SCH. For this reason, many patients suspect that their SCH is an early sign of ACS. However, we believe that one of the main reasons why cardiovascular disease has a significant relationship with SCH is because the common treatments for coronary heart disease are aspirin and warfarin, which can cause bleeding (1, 20–22). In addition, people who take these drugs will also pay more attention to their bleeding, and this may increase the number of diagnoses (23).

A meta-analysis by Carmine Pizzi et al. (24) reported that the incidence and mortality rates of ACS are still high, so a proper method for detecting this condition is important. However, after several adjustments, we found that there was no significant relationship between SCH and ACS. Therefore, SCH should not be considered an early sign of ACS.

The use of aspirin has always been widely discussed within the context of cardiovascular disease as it is regarded as a first-line drug for many cardiovascular diseases. A study by Mora et al. (25) indicated that unless contraindicated, aspirin should be used consistently for the secondary prevention of atherosclerotic cardiovascular disease. However, a meta-regression analysis by Nudy et al. (12) suggested that the efficacy of aspirin for the primary prevention of atherosclerotic cardiovascular disease is limited. Besides, it also mentioned that blood pressure control is a more efficient method of treatment. Based on our data, there is a significant association between hypertension and ACS. In addition, according to our data, people who take aspirin have a HR of 1.67 for ACS. Of course, aspirin is widely taken by individuals with cardiovascular related diseases, so there may be a number of interfering factors, which make this a difficult conclusion which needs more detailed discussion/investigation. Furthermore, a study by Thobani et al. (16) reported that the use of aspirin should be a deliberated decision which is taken individually for each patient.

The current study had several limitations. First of all, SCH is divided into two subtypes, however, due to them having the same ICD codes, it was not possible for us to distinguish between them when conducting the statistics. However, as mentioned above, spontaneous SCH mainly occurs in the elderly, and the elderly made up the majority of our data set, so we suppose that this would have only caused minor interference. Second, because of the patient anonymity policy within the NHIRD, we could not confirm the patients' diagnoses. However, the main diagnostic codes of SCH, ACS, hypertension etc. have been validated within the NHIRD, and have been revealed as highly accurate, so this should not be a major concern. Third, our data was lacking granular data on clinical characteristics, such as smoking status. However, our data did specify whether the patient had COPD, a disease that has been confirmed as having a significant association with smoking. We believe that this could reduce the interference of this limitation. Finally, our study only enrolled Taiwanese people, so it is unclear whether the results can be extrapolated to other ethnicities or populations. Further investigation is needed to determine this.

Despite several limitations, we believe there were some valuable advantages to the current study. First, this was the first study to investigate the potential association between SCH and ACS, which seemed to be highly probable from a clinical perspective. However, after a full evaluation, we determined that these two diseases do not have a significant association with each other. Second, it was a nationwide, population-based study which used the entire 23,000,000 population of Taiwan as the mother group, which is also known as the NHIRD (26–32), and thus minimizes selection bias.

In conclusions, the results of this 14 years cohort study of 35,260 individuals, found that there were no significant differences for any stratifications between non-SCH and SCH patients. In other words, when encountering patients with SCH in the future, doctors should not do too much inspection to avoid medical unnecessary and cause patient anxiety.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.

Ethics Statement

The studies involving human participants were reviewed and approved by China Medical University and Hospital (CMUH104-REC2-115(AR-4)). Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author Contributions

M-YH, J-NL, K-CH, and JW are responsible for critical comment and revision. P-HC, Y-CC, and K-CH are responsible for manuscript preparation. All authors responsible for research preparation.

Funding

This study was supported in part by the Ministry of Science and Technology of Taiwan (Grant No. 109-2636-E-040-001, Columbus program of MOST Young Scholar Fellowship). Besides, the authors would like to thank Management Office for Health Data, China Medical University Hospital for their providing of the data.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Doshi R, Noohani T. Subconjunctival Hemorrhage, StatPearls. StatPearls Publishing Copyright © 2020 Treasure Island, FL: StatPearls Publishing LLC (2020).

2. Cagini C, Iannone A, Bartolini A, Fiore T, Fierro T, Gresele P. Reasons for visits to an emergency center and hemostatic alterations in patients with recurrent spontaneous subconjunctival hemorrhage. Eur J Ophthalmol. (2016) 26:188–92. doi: 10.5301/ejo.5000692

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Channa R, Zafar SN, Canner JK, Haring RS, Schneider EB, Friedman DS. Epidemiology of eye-related emergency department visits. JAMA Ophthalmol. (2016) 134:312–9. doi: 10.1001/jamaophthalmol.2015.5778

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Tarlan B, Kiratli H. Subconjunctival hemorrhage: risk factors and potential indicators. Clin Ophthalmol. (2013) 7:1163–70. doi: 10.2147/OPTH.S35062

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Makki N, Brennan TM, Girotra S. Acute coronary syndrome. J Intensive Care Med. (2015) 30:186–200. doi: 10.1177/0885066613503294

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Chan MY, Du X, Eccleston D, Ma C, Mohanan PP, Ogita M, et al. Acute coronary syndrome in the Asia-Pacific region. Int J Cardiol. (2016) 202:861–9. doi: 10.1016/j.ijcard.2015.04.073

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Lee CY, Chen HC, Huang JY, Sun CC, Yeh CB, Lin HY, et al. Dermatologic vasculature diseases as a risk factor of subconjunctival hemorrhage. Int J Environ Res Public Health. (2019) 16:2865. doi: 10.3390/ijerph16162865

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Chatziralli IP, Jaulim A, Chatzirallis A, Moschos MM. Subconjunctival haemorrhage as an indication of gastrointestinal bleeding. Clin Exp Optom. (2016) 99:93. doi: 10.1111/cxo.12268

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Fukuyama J, Hayasaka S, Yamada K, Setogawa T. Causes of subconjunctival hemorrhage. Ophthalmologica. (1990) 200:63–7. doi: 10.1159/000310079

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Dong X, Cai R, Sun J, Huang R, Wang P, Sun H, et al. Diabetes as a risk factor for acute coronary syndrome in women compared with men: a meta-analysis, including 10 856 279 individuals and 106 703 acute coronary syndrome events. Diabetes Metab Res Rev. (2017) 33. doi: 10.1002/dmrr.2887

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Mimura T, Yamagami S, Usui T, Funatsu H, Noma H, Honda N, et al. Location and extent of subconjunctival hemorrhage. Ophthalmologica. (2010) 224:90–5. doi: 10.1159/000235798

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Nudy M, Cooper J, Ghahramani M, Ruzieh M, Mandrola J, Foy AJ. Aspirin for primary atherosclerotic cardiovascular disease prevention as baseline risk increases: a meta-regression analysis. Am J Med. (2020) 133:1056–64. doi: 10.1016/j.amjmed.2020.04.028

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Mimura T, Usui T, Yamagami S, Funatsu H, Noma H, Honda N, et al. Recent causes of subconjunctival hemorrhage. Ophthalmologica. (2010) 224:133–7. doi: 10.1159/000236038

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Veerasamy M, Edwards R, Ford G, Kirkwood T, Newton J, Jones D, et al. Acute coronary syndrome among older patients: a review. Cardiol Rev. (2015) 23:26–32. doi: 10.1097/CRD.0000000000000016

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Martínez Linares JM, Guisado Barrilao R, Ocaña Peinado FM, Salgado Parreño FJ. Association of cardiovascular emerging risk factors with acute coronary syndrome and stroke: a case-control study. Nurs Health Sci. (2016) 18:488–95. doi: 10.1111/nhs.12299

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Thobani A, Dhindsa DS, DeMoss BD, Raad M, Sandesara PB, Sperling LS, et al. Usefulness of aspirin for primary prevention of atherosclerotic cardiovascular disease. Am J Cardiol. (2019) 124:1785–9. doi: 10.1016/j.amjcard.2019.08.040

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Lee PN, Forey BA, Thornton AJ, Coombs KJ. The relationship of cigarette smoking in Japan to lung cancer, COPD, ischemic heart disease and stroke: a systematic review. F1000Res. (2018) 7:204. doi: 10.12688/f1000research.14002.1

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Pitts JF, Jardine AG, Murray SB, Barker NH. Spontaneous subconjunctival haemorrhage–a sign of hypertension? Br J Ophthalmol. (1992) 76:297–9. doi: 10.1136/bjo.76.5.297

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Hubacek JA, Stanek V, Gebauerova M, Adamkova V, Lesauskaite V, Zaliaduonyte-Peksiene D, et al. Traditional risk factors of acute coronary syndrome in four different male populations - total cholesterol value does not seem to be relevant risk factor. Physiol Res. (2017) 66:S121–8. doi: 10.33549/physiolres.933597

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Bodack MI A warfarin-induced subconjunctival hemorrhage. Optometry. (2007) 78:113–8. doi: 10.1016/j.optm.2006.10.015

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Sudarshana DM, Konstantinou EK, Arepalli S, Silva FQ, Schachat AP, Ehlers JP, et al. The prevalence of adverse ocular hemorrhagic events in patients utilizing oral anticoagulant and antiplatelet therapy in routine clinical practice. Ophthalmic Surg Lasers Imaging Retina. (2018) 49:27–34. doi: 10.3928/23258160-20171215-04

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Hu DN, Mou CH, Chao SC, Lin CY, Nien CW, Kuan PT, et al. Incidence of non-traumatic subconjunctival hemorrhage in a nationwide study in Taiwan from 2000 to 2011. PLoS ONE. (2015) 10:e0132762. doi: 10.1371/journal.pone.0132762

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Leiker LL, Mehta BH, Pruchnicki MC, Rodis JL. Risk factors and complications of subconjunctival hemorrhages in patients taking warfarin. Optometry. (2009) 80:227–31. doi: 10.1016/j.optm.2008.10.018

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Pizzi C, Xhyheri B, Costa GM, Faustino M, Flacco ME, Gualano MR, et al. Nonobstructive versus obstructive coronary artery disease in acute coronary syndrome: a meta-analysis. J Am Heart Assoc. (2016) 5:e004185. doi: 10.1161/JAHA.116.004185

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Mora S, Manson JE. Aspirin for primary prevention of atherosclerotic cardiovascular disease: advances in diagnosis and treatment. JAMA Intern Med. (2016) 176:1195–204. doi: 10.1001/jamainternmed.2016.2648

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Kang EY, Chen TH, Garg SJ, Sun CC, Kang JH, Wu WC, et al. Association of statin therapy with prevention of vision-threatening diabetic retinopathy. JAMA Ophthalmol. (2019) 137:363–71. doi: 10.1001/jamaophthalmol.2018.6399

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Khor WB, Prajna VN, Garg P, Mehta JS, Xie L, Liu Z, et al. The Asia cornea society infectious keratitis study: a prospective multicenter study of infectious keratitis in Asia. Am J Ophthalmol. (2018) 195:161–70. doi: 10.1016/j.ajo.2018.07.040

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Hwang DK, Liu CJ, Pu CY, Chou YJ, Chou P. Persistence of topical glaucoma medication: a nationwide population-based cohort study in Taiwan. JAMA Ophthalmol. (2014) 132:1446–52. doi: 10.1001/jamaophthalmol.2014.3333

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Chi CC, Tung TH, Wang J, Lin YS, Chen YF, Hsu TK, et al. Risk of uveitis among people with psoriasis: a nationwide cohort study. JAMA Ophthalmol. (2017) 135:415–22. doi: 10.1001/jamaophthalmol.2017.0569

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Ma TL, Chang RY, Chen HJ, Liu CY, Hsu CC, Hsu YH. Risk of acute coronary syndrome after parathyroidectomy in patients with end-stage renal disease: a population-based cohort study in Taiwan. Nephrology. (2018) 23:139–47. doi: 10.1111/nep.12958

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Weng SF, Jan RL, Wang JJ, Tseng SH, Chang YS. Association between atopic keratoconjunctivitis and the risk of keratoconus. Acta Ophthalmol. (2020) 99:e54–61. doi: 10.1111/aos.14509

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Tsai DC, Chen HC, Leu HB, Chen SJ, Hsu NW, Huang CC, et al. The association between clinically diagnosed insomnia and age-related macular degeneration: a population-based cohort study. Acta Ophthalmol. (2020) 98:e238–44. doi: 10.1111/aos.14238

PubMed Abstract | CrossRef Full Text | Google Scholar