Introduction
Dry eye disease (DED) affects a significant proportion of the general population, with an estimated prevalence of 7–33%.1–3 The incidence and severity of DED increase with age and female gender.1 This multifactorial condition is characterized by decreased tear production and/or increased evaporation and can lead to symptoms of ocular discomfort, visual disturbances, and a diminished quality of life.4,5 Meibomian gland dysfunction (MGD) is the most common cause of evaporative dry eye,6 and involves abnormalities in the quantity and/or composition of tear film lipids, including excess free cholesterol.7 The relationship between systemic lipid abnormalities and those of the tear film has not been clearly established.8 However, prior studies, though conflicting, suggest an association between MGD/DED and dyslipidemia.9–13
Dyslipidemia is a significant risk factor for cardiovascular disease, affecting an estimated 12% of adults.14 It is most often treated with “statin” medications.15 This drug class is comprised of HMG-CoA reductase inhibitors, which block the rate-limiting step in the biosynthesis of cholesterol.16 HMG-CoA reductase expression has been identified within the sebaceocytes of meibomian glands in human eyelid tissue.16 Thus, it is possible that statin use could alter cholesterol synthesis and lipid homeostasis within the meibomian glands, leading to destabilization of the tear film and subsequent DED.
To investigate a potential association between DED and each of a history of statin use or dyslipidemia, we conducted a study of a large number of patients seen at University of North Carolina (UNC)-affiliated healthcare facilities over a 10-year period.
Methods
This was a retrospective case-control study with approval obtained from the institutional review board of UNC. All methods described herein adhered strictly to the tenets of the Declaration of Helsinki and Health Insurance Portability and Accountability Act regulations. The dataset was acquired from the Carolina Data Warehouse for Health (CDWH), a repository of de-identified patient information collected from patient visits at UNC-affiliated hospitals and outpatient clinics. Using an online interface linked to the CDWH, 72,931 unique patients older than 18 years of age, with prior lipid panel results, and seen at UNC ophthalmology clinics from May 1, 2008 to May 31, 2018, were identified.
Queries were performed to identify unique individuals amongst this group carrying a diagnosis of DED (ICD-9 and ICD-10 codes 370.33, 375.15, H04.12x, and H16.22x). Additional queries were carried out to identify patients with a history of low-intensity, moderate-intensity, and high-intensity statin use as well as those with dyslipidemia. Low-intensity statins included fluvastatin 20–40 mg daily, lovastatin 20 mg daily, pitavastatin 1 mg daily, pravastatin 10–20 mg daily, and simvastatin 10 mg daily. Moderate-intensity included atorvastatin 10–20 mg daily, fluvastatin 40 mg twice a day or 80 mg daily, lovastatin 40 mg daily, pitavastatin 2–4 mg daily, pravastatin 40–80 mg daily, rosuvastatin 5–10 mg daily, and simvastatin 20–40 mg daily. High-intensity included atorvastatin 40–80 mg daily and rosuvastatin 20–40 mg daily.17 Abnormal lipid values were total cholesterol >200 mg/dL, HDL <40 mg/dL, LDL >130 mg/dL, and triglycerides >150 mg/dL.18 Statin categories were constructed to be unique and not double count individuals.
Upon data acquisition, exclusion of individuals with confounding factors well known to be associated with DED was performed. Individuals were excluded if they used specific medications associated with DED (tricyclic antidepressants, antihistamines, or diuretics), had a history of rheumatoid arthritis, Sjogren’s disease, or lupus (ICD-9 and ICD-10 codes 710.0, 710.2, 714.0, M32.x, M35.x, M05.79, M05.89, M06.09, and M06.89), or a history of cataract or refractive surgery (CPT codes 66984, S0800, and S0810). Odds ratios (ORs) and their associated 95% confidence intervals (CIs) were calculated between DED and each of the above parameters and further stratified by age. All data were analyzed using SAS software version 9.4 (SAS Inc., Cary, NC).
Results
A total of 72,931 patients were considered for inclusion in the study. After excluding individuals with the confounding factors identified above, the analyzed cohort consisted of 39,336 individuals, of which 53.9% were female. Demographic characteristics of the analyzed population are outlined in Table 1. In total, 3,399 patients (8.6%) carried a diagnosis of DED. Low-intensity, moderate-intensity, and high-intensity statin regimens were used by 751 (1.9%), 2,655 (6.8%), and 1,036 (2.6%), respectively. Lipid abnormalities were found in the following numbers of patients: Total cholesterol >200 mg/dL, 4,558 (11.6%); HDL <40 mg/dL, 2,078 (5.3%); LDL >130 mg/dL, 2,756 (7.0%); and TGs >150 mg/dL, 2,881 (7.3%).
Table 1.
Demographics of the analyzed study population.
| Demographic | Number (%) of Patients (n = 39,336) |
|---|---|
| Sex | |
| Male | 18,149 (46.1) |
| Female | 21,187 (53.9) |
| Race | |
| White | 22,701 (57.7) |
| African American | 6,862 (17.4) |
| Asian | 1,194 (3.0) |
| Native American or Alaskan | 177 (0.4) |
| Other or Unknown | 8,402 (21.4) |
| Age Group, years | |
| 18–34 | 11,259 (28.6) |
| 35–54 | 10,334 (26.3) |
| 55–64 | 6,070 (15.4) |
| ≥ 65 | 11,673 (29.7) |
Tables 2 and 3 display the calculated odds ratios and their associated 95% confidence intervals for this cohort. The odds of carrying a diagnosis of DED given the presence of low-intensity, moderate-intensity, and high-intensity statin use were 1.39 (1.13,1.72), 1.47 (1.30,1.65), and 1.46 (1.21,1.75), respectively, when compared to patients not taking statins. The odds of carrying a diagnosis of DED given the presence of total cholesterol >200 mg/dL, HDL <40 mg/dL, LDL >130 mg/dL, and TGs >150 mg/dL were 1.66 (1.52,1.82), 1.45 (1.26,1.67), 1.55 (1.39,1.74), and 1.43 (1.27,1.61), respectively.
Table 2.
Calculated odds ratios and corresponding confidence intervals between statin therapy and dry eye disease.
| Exposure | Age Group (years) | ||||
|---|---|---|---|---|---|
| 18–34 | 35–54 | 55–64 | ≥ 65 | All Ages | |
| Low-intensity Statin therapy | N/A* | 0.85 (0.44,1.62) | 1.00 (0.62,1.63) | 1.71 (1.33,2.21) | 1.39 (1.13,1.72) |
| Moderate-intensity Statin Therapy | 6.96 (2.63,18.42) | 1.13 (0.81,1.58) | 1.37 (1.08,1.74) | 1.57 (1.35,1.82) | 1.47 (1.30,1.65) |
| High-intensity Statin Therapy | 17.50 (5.99,51.13) | 1.15 (0.69,1.90) | 1.28 (0.89,1.85) | 1.54 (1.21,1.95) | 1.46 (1.21,1.75) |
Note: queries for males and females aged 18–34 returned with sample sizes too small to properly calculate odds ratios in this age range.
Table 3.
Calculated odds ratios and corresponding confidence intervals between specified serum lipid levels and dry eye disease.
| Exposure | Age Group (years) | ||||
|---|---|---|---|---|---|
| 18–34 | 35–54 | 55–64 | ≥ 65 | All Ages | |
| Elevated Total Cholesterol | 1.44 (0.82,2.55) | 1.38 (1.15,1.66) | 1.28 (1.06,1.54) | 2.16 (1.89,2.47) | 1.66 (1.52,1.82) |
| Low HDL | 1.01 (0.47,2.16) | 1.30 (1.00,1.70) | 1.62 (1.21,2.15) | 1.52 (1.22,1.89) | 1.45 (1.26,1.67) |
| High LDL | 1.11 (0.45,2.73) | 1.48 (1.18,1.85) | 1.18 (0.94,1.48) | 1.92 (1.63,2.26) | 1.55 (1.39,1.74) |
| Elevated Triglycerides | 1.88 (1.08,3.26) | 1.41 (1.13,1.76) | 1.21 (0.96,1.54) | 1.55 (1.31,1.85) | 1.43 (1.27,1.61) |
Discussion
We report a retrospective analysis of a large, diverse population of patients, analyzing the association of DED with statin use and dyslipidemia. There was an approximately 40% greater odds of a diagnosis of DED in patients on statin regimens of all intensities, 60% greater odds for patients with cholesterol >200, and 40–50% greater odds with TG >150, HDL <40, or LDL >130. While previous studies of smaller, select populations support an association between dyslipidemia and MGD or DED, none have specifically evaluated the association of statin use/intensity and a clinical diagnosis DED.
Previously reported case-control studies support the association of elevated total cholesterol,9–11 triglycerides9–11 and LDL10,11 with MGD or DED. As well, one study found an association of elevated LDL/triglycerides with more severe MGD.12 However, in these studies, individuals on lipid-lowering therapy were specifically excluded, limiting this potential confounder but disallowing its evaluation. Another population-based study of 5,627 Korean adults found an association of elevated total cholesterol and LDL with DED in women only.19 Conflicting results have been found in regard to HDL levels and MGD/DED.9–11,19,20 In contrast, a population-based study of 3,280 Malay persons in Singapore showed an inverse relationship between LDL and MGD and no significant association with other lipid parameters.20 A recent analysis of data from subjects in the Blue Mountains Eye Study found no association between hypercholesterolemia and DED; however, oral statin use was associated with moderate to severe DED symptoms based on a questionnaire.8
The exact mechanism(s) underlying the relationship between statin use and/or dyslipidemia and MGD/DED is unclear. It is well established that meibomian glands secrete meibum into the tear film, slowing its rate of evaporation.21–23 Studies have shown that the meibum of individuals with MGD has an increased concentration of cholesterol esters, likely resulting in a higher melting point, increased viscosity, and a propensity toward meibomian gland obstruction.24,25 While it is plausible that systemic lipid abnormalities may be associated with abnormalities of tear film lipids, no studies have specifically examined this relationship in detail. One study of two subjects failed to identify an association between plasma and tear cholesterol.26 An alternative hypothetical mechanism relates to the proinflammatory characteristics of LDL27,28 as inflammation is known to contribute to the pathogenesis of MGD and DED.6
Statins exert their effects via inhibition of HMG-CoA reductase, an enzyme which catalyzes the rate-limiting step for the synthesis of sterols and isoprenoids in human meibomian gland epithelial cells.16,29,30 Thus, it has been postulated that statins may disrupt essential cholesterol synthesis in the meibomian glands.16 In our study, the risk of DED was similar for low, moderate, and high-intensity statin regimens, suggesting that any effect of statin use may not be dose dependent. Alternatively, it is also possible that statin use is only a surrogate marker for treated dyslipidemia and the association of statin use with DED could be spurious. As nearly all patients with dyslipidemia were treated with statins in our cohort, we were unable to separate the effects of statin use and dyslipidemia on the risk of DED in this study. Further prospective analyses evaluating the effects of statin use on meibomian gland secretions would provide insights into any influence on meibum quantity and composition in the tear film. Interestingly, topical statin use has been demonstrated to be beneficial in treating dry eye associated with blepharitis.31,32 The mechanism of this response has not been established although statins are known to also exert anti-inflammatory effects which could be involved.31
To reduce the number of potentially confounding factors, we excluded patients with conditions or medications that are well known to be associated with DED. We excluded patients with antihistamine, diuretic, and tricyclic antidepressant use in our analyses because these classes of medication may be associated with the development or worsening of DED.33,34 Refractive surgery and cataract surgery can also precipitate or worsen DED.35–37 Additionally, autoimmune diseases such as lupus, rheumatoid arthritis, and Sjögren syndrome are strongly associated with DED.38–40 However, because many other systemic conditions and treatments may have mild potential associations with DED or lipid profiles, there could be other confounding factors that were not controlled for in this study. For example, we were unable to assess for over the counter supplement use, such as that of omega-3 fatty acids or niacin, which have known effects on serum lipid profiles.
Our study possesses several other limitations inherent to retrospective studies, including an inability to establish whether temporal or duration-based associations exist between statin use or dyslipidemia and DED. As well, we were unable to stratify by cause of DED. As the code for MGD (ICD10, H02.88) was not present in ICD-9, its evaluation could not be assessed prior to October 2018 due to not having its own code until that point.41 As such, DED of all potential causes were included. Data from the CDWH database were only available in aggregate, which limited our ability to examine trends in statin use and DED rates based on individualized variables, such as the presence and severity of MGD, tear film breakup time, or Schirmer testing results. The CDWH database does not allow for determination of the exact timing of diagnoses or laboratory values. In addition, the use of diagnostic codes to select patients for our analysis could have introduced classification bias into our study because no specific criteria for the diagnosis of DED could be used. However, previous literature suggests a high degree of consistency between ICD-9 and ICD-10 codes and findings present within medical records.42,43
Despite these limitations, we report the largest retrospective analysis to date examining DED as associated with statin use and dyslipidemia. Our study supports an association between statin use, dyslipidemia, and DED, particularly amongst elderly patients. Further research is needed to determine any separate effects of dyslipidemia and statin use on DED, to elucidate pathogenic mechanisms involved, and to identify any potential therapeutic targets.
Funding:
This work was supported by the National Center for Advancing Translational Sciences (NCATS) and the National Institutes of Health [grant number UL1TR002489]. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. No other sources of funding to disclose.
Financial Disclosures:
No financial disclosures.
Footnotes
Conflicts of Interest: The authors have no conflicts of interests to report.
References
- 1.Gayton JL. Etiology, prevalence, and treatment of dry eye disease. Clin Ophthalmol Auckl NZ. 2009;3:405–412. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Messmer EM. The Pathophysiology, Diagnosis, and Treatment of Dry Eye Disease. Dtsch Ärztebl Int. 2015;112(5):71–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Schaumberg DA, Dana R, Buring JE, Sullivan DA. Prevalence of Dry Eye Disease among US Men: Estimates from the Physicians’ Health Studies. Arch Ophthalmol. 2009;127(6):763–768. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Craig JP, Nichols KK, Akpek EK, et al. TFOS DEWS II Definition and Classification Report. Ocul Surf. 2017;15(3):276–283. [DOI] [PubMed] [Google Scholar]
- 5.Farrand KF, Fridman M, Stillman IÖ, Schaumberg DA. Prevalence of Diagnosed Dry Eye Disease in the United States Among Adults Aged 18 Years and Older. Am J Ophthalmol. 2017;182:90–98. [DOI] [PubMed] [Google Scholar]
- 6.Baudouin C, Messmer EM, Aragona P, et al. Revisiting the vicious circle of dry eye disease: a focus on the pathophysiology of meibomian gland dysfunction. Br J Ophthalmol. 2016;100(3):300–306. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Arciniega JC, Uchiyama E, Butovich IA. Disruption and Destabilization of Meibomian Lipid Films Caused by Increasing Amounts of Ceramides and Cholesterol. Invest Ophthalmol Vis Sci. 2013;54(2):1352–1360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Ooi KG-J, Lee M-HH, Burlutsky G, Gopinath B, Mitchell P, Watson S. Association of dyslipidaemia and oral statin use, and dry eye disease symptoms in the Blue Mountains Eye Study. Clin Experiment Ophthalmol. 2019;47(2):187–192. [DOI] [PubMed] [Google Scholar]
- 9.Dao AH, Spindle JD, Harp BA, Jacob A, Chuang AZ, Yee RW. Association of dyslipidemia in moderate to severe meibomian gland dysfunction. Am J Ophthalmol. 2010;150(3):371–375.e1. [DOI] [PubMed] [Google Scholar]
- 10.Braich PS, Howard MK, Singh JS. Dyslipidemia and its association with meibomian gland dysfunction. Int Ophthalmol. 2016;36(4):469–476. [DOI] [PubMed] [Google Scholar]
- 11.Pinna A, Blasetti F, Zinellu A, Carru C, Solinas G. Meibomian gland dysfunction and hypercholesterolemia. Ophthalmology. 2013;120(12):2385–2389. [DOI] [PubMed] [Google Scholar]
- 12.Bukhari AA. Associations between the grade of meibomian gland dysfunction and dyslipidemia. Ophthal Plast Reconstr Surg. 2013;29(2):101–103. [DOI] [PubMed] [Google Scholar]
- 13.Kuriakose RK, Braich PS. Dyslipidemia and its Association with Meibomian Gland Dysfunction: A Systematic Review. Int Ophthalmol. 2018;38(4):1809–1816. [DOI] [PubMed] [Google Scholar]
- 14.CDC. High Cholesterol Facts. Centers for Disease Control and Prevention. https://www.cdc.gov/cholesterol/facts.htm. Published February 6, 2019. Accessed August 13, 2019.
- 15.Harris SK, Roos MG, Landry GJ. Statin use in patients with peripheral arterial disease. J Vasc Surg. 2016;64(6):1881–1888. [DOI] [PubMed] [Google Scholar]
- 16.Ooi KG-J, Rao A, Goh JS-K, et al. HMG-CoA reductase expression in human eyelid tissue and in a human meibomian gland epithelial cell line. Graefes Arch Clin Exp Ophthalmol Albrecht Von Graefes Arch Klin Exp Ophthalmol. 2019;257(4):785–790. [DOI] [PubMed] [Google Scholar]
- 17.2013 ACC/AHA Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults. :45.
- 18.Fodor G. Primary Prevention of CVD: Treating Dyslipidemia. Am Fam Physician. 2011;83(10):1207. [Google Scholar]
- 19.Chun YH, Kim HR, Han K, Park Y-G, Song HJ, Na K-S. Total cholesterol and lipoprotein composition are associated with dry eye disease in Korean women. Lipids Health Dis. 2013;12:84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Siak JJK, Tong L, Wong WL, et al. Prevalence and risk factors of meibomian gland dysfunction: the Singapore Malay eye study. Cornea. 2012;31(11):1223–1228. [DOI] [PubMed] [Google Scholar]
- 21.Dartt D, Willcox M. Complexity of the tear film: Importance in homeostasis and dysfunction during disease. Exp Eye Res. 2013;117:1–3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Herok GH, Mudgil P, Millar TJ. The effect of Meibomian lipids and tear proteins on evaporation rate under controlled in vitro conditions. Curr Eye Res. 2009;34(7):589–597. [DOI] [PubMed] [Google Scholar]
- 23.Chhadva P, Goldhardt R, Galor A. Meibomian gland disease: the role of gland dysfunction in dry eye disease. Ophthalmology. 2017;124(11 Suppl):S20–S26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Shine WE, McCulley JP. The role of cholesterol in chronic blepharitis. Invest Ophthalmol Vis Sci. 1991;32(8):2272–2280. [PubMed] [Google Scholar]
- 25.Shine WE, McCulley JP. Polar lipids in human meibomian gland secretions. Curr Eye Res. 2003;26(2):89–94. [DOI] [PubMed] [Google Scholar]
- 26.van Haeringen NJ, Glasius E. Cholesterol in human tear fluid. Exp Eye Res. 1975;20(3):271–274. [DOI] [PubMed] [Google Scholar]
- 27.Duewell P, Kono H, Rayner KJ, et al. NLRP3 inflamasomes are required for atherogenesis and activated by cholesterol crystals that form early in disease. Nature. 2010;464(7293):1357–1361. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Rajamäki K, Lappalainen J, Öörni K, et al. Cholesterol Crystals Activate the NLRP3 Inflammasome in Human Macrophages: A Novel Link between Cholesterol Metabolism and Inflammation. PLoS ONE. 2010;5(7). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Toth PP, Banach M. Statins: Then and Now. Methodist DeBakey Cardiovasc J. 2019;15(1):23–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Endo A. The discovery and development of HMG-CoA reductase inhibitors. J Lipid Res. 1992;33(11):1569–1582. [PubMed] [Google Scholar]
- 31.Ooi KG-J, Wakefield D, Billson FA, Watson SL. Efficacy and Safety of Topical Atorvastatin for the Treatment of Dry Eye Associated with Blepharitis: A Pilot Study. Ophthalmic Res. 2015;54(1):26–33. [DOI] [PubMed] [Google Scholar]
- 32.Watson S, Ooi K, Billson F, Wakefield D. Topical atorvastatin for the treatment of dry eye associated with blepharitis. Invest Ophthalmol Vis Sci. 2013;54(15):6004–6004. [DOI] [PubMed] [Google Scholar]
- 33.Moss SE, Klein R, Klein BEK. Incidence of dry eye in an older population. Arch Ophthalmol Chic Ill 1960. 2004;122(3):369–373. [DOI] [PubMed] [Google Scholar]
- 34.Remick RA. Anticholinergic side effects of tricyclic antidepressants and their management. Prog Neuropsychopharmacol Biol Psychiatry. 1988;12(2–3):225–231. [DOI] [PubMed] [Google Scholar]
- 35.Jang H, Lee S, Kim T-H, Kim A-R, Lee M, Lee J-H. Acupuncture for dry eye syndrome after refractive surgery: study protocol for a randomized controlled trial. Trials. 2013;14:351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Choi YJ, Park SY, Jun I, et al. Perioperative Ocular Parameters Associated With Persistent Dry Eye Symptoms After Cataract Surgery. Cornea. 2018;37(6):734–739. [DOI] [PubMed] [Google Scholar]
- 37.Dohlman TH, Lai EC, Ciralsky JB. Dry Eye Disease After Refractive Surgery. Int Ophthalmol Clin. 2016;56(2):101–110. [DOI] [PubMed] [Google Scholar]
- 38.Fairweather D, Rose NR. Women and Autoimmune Diseases1. Emerg Infect Dis. 2004;10(11):2005–2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Rapoport Y, Singer JM, Ling JD, Gregory A, Kohanim S. A Comprehensive Review of Sex Disparities in Symptoms, Pathophysiology, and Epidemiology of Dry Eye Syndrome. Semin Ophthalmol. 2016;31(4):325–336. [DOI] [PubMed] [Google Scholar]
- 40.Villani E, Galimberti D, Viola F, Mapelli C, Del Papa N, Ratiglia R. Corneal involvement in rheumatoid arthritis: an in vivo confocal study. Invest Ophthalmol Vis Sci. 2008;49(2):560–564. [DOI] [PubMed] [Google Scholar]
- 41.ICD-10 Code for Meibomian Gland Dysfunction. American Academy of Ophthalmology. https://www.aao.org/practice-management/news-detail/icd-10-code-meibomian-gland-dysfunction. Published December 3, 2018. Accessed August 23, 2019.
- 42.Dixon J, Sanderson C, Elliott P, Walls P, Jones J, Petticrew M. Assessment of the reproducibility of clinical coding in routinely collected hospital activity data: a study in two hospitals. J Public Health Med. 1998;20(1):63–69. [DOI] [PubMed] [Google Scholar]
- 43.Campbell SE, Campbell MK, Grimshaw JM, Walker AE. A systematic review of discharge coding accuracy. J Public Health Med. 2001;23(3):205–211. [DOI] [PubMed] [Google Scholar]
