Next Article in Journal
A Predictive Analysis of Heart Rates Using Machine Learning Techniques
Previous Article in Journal
Extreme Heat and Pregnancy Outcomes: A Scoping Review of the Epidemiological Evidence
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Relationship between Using Fibrate and Open-Angle Glaucoma in Hyperlipidemic Patients: A Population-Based Cohort Study

1
Department of Ophthalmology, Kaohsiung Armed Forces General Hospital, Kaohsiung 802, Taiwan
2
Department of Ophthalmology, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan
3
Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
4
Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
5
Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan
6
School of Public Health, National Defense Medical Center, Taipei 114, Taiwan
7
Taiwanese Injury Prevention and Safety Promotion Association, Taipei 114, Taiwan
8
Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 114, Taiwan
*
Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(4), 2415; https://doi.org/10.3390/ijerph19042415
Submission received: 3 January 2022 / Revised: 12 February 2022 / Accepted: 18 February 2022 / Published: 19 February 2022
(This article belongs to the Section Public Health Statistics and Risk Assessment)

Abstract

:
Background: This study aimed to investigate the associated risk between using fibrate and open-angle glaucoma (OAG) in hyperlipidemic patients from the National Health Insurance Research Database (NHIRD). Methods: We collected data over a 16-year period from the NHIRD, and used the Fisher’s exact test and Pearson chi-square test to analyze variables. Adjusted hazard ratios (aHR) were used to examine the risk factors for disease development. We applied Kaplan–Meier analysis to compare the cumulative incidence of OAG. Results: A total of 10,011 patients using fibrate were enrolled in the study cohort, and 40,044 patients not using fibrate were enrolled in the control cohort. The incidence of OAG was lower in the study cohort than in the control cohort (aHR = 0.624, p = 0.007). The overall incidence of OAG was 463.02 per 100,000 person-years in the study cohort and 573.65 per 100,000 person-years in the control cohort. We used the Kaplan–Meier method to calculate the cumulative risk of developing OAG. The results revealed that after using fibrate for over seven years, the study cohort had a greatly lower rate of developing OAG than the control cohort (log-rank test p = 0.050). Conclusions: Our studies showed that using fibrate for over seven years may lead to a lower risk of OAG in patients with hyperlipidemia. Nevertheless, further prospective studies that comprehensively investigate the relationship between using fibrate and OAG are needed.

1. Introduction

Glaucoma is a group of diseases characterized by optic neuropathy that is consistent with remodeling of the connective tissue elements of the optic nerve head, as well as the loss of neural tissue associated with the development of distinctive patterns of visual dysfunction. The prevalence and disease burden of glaucoma has recently increased in Asia, including Taiwan [1]. Hyperlipidemia is significantly related with an increased risk of glaucoma, and hyperlipidemia and increased blood lipid levels are related with increased intraocular pressure (IOP) [2]. Fibrates are peroxisome proliferator-activated receptor (PPAR)-α agonists used for the treatment of dyslipidemia [3]. PPARα has been broadly studied in the retina, and has been proven to be related with the neuro-protection, angiogenesis, and regulation of circadian rhythms [4]. In experimental models of cerebral ischemia and neurodegenerative diseases, it has been shown that PPARα activation has a neuroprotective effect [5]. However, it has never evaluated the neuroprotective effect of fibrates within the context of open-angle glaucoma (OAG).
This study aimed to investigate the associated risk between using fibrates and the prevalence of OAG in our population using data collected from the National Health Insurance Research Database (NHIRD) of Taiwan. As far as we know, no study has investigated this issue in the Taiwanese population.

2. Materials and Methods

2.1. Research Database

The National Health Insurance (NHI) program was launched in Taiwan in 1995 and is a single-payer, nationwide health insurance program. The NHI contains almost 99% of the Taiwanese population, and currently contains the health expenses of probably 23 million people. The claims data related to patients from the NHI program is contained in the NHIRD. The basic information of these data, such as age, sex, diagnosis, insurance premium, location, season, level of care, and urbanization level, can be collected from the NHIRD. Additionally, an electronic format of these data are available for conducting statistical studies. Thus, we analyzed this database to investigate the relationship between fibrates and OAG.

2.2. Study Participants

This study was a retrospective cohort study. As demonstrated in Figure 1, we identified patients by NHIRD with clinical diagnoses of OAG and prescribed fibrates based on the International Classification of Disease, 9th Revision, Clinical Modification (ICD-9-CM) code (ICD-9-CM code for glaucoma, 365; ATC code for fenofibrate, C10AB05; gemfibrozil, C10AB04). The inclusion criterion of this study is fibrate use and the exclusion criteria are fibrate before index date, glaucoma before tracking, statin/Pravafen in the study period, laser or surgery treatment of glaucoma before index date, without tracking, age less than 18 years and gender unknown. We also identified, differentiated, and analyzed the comorbidities of these patients with OAG by ICD-9-CM codes. Since the removed diseases were also variables in this study, we substituted the Charlson comorbidity index (CCI) for the revised Charlson Comorbidity Index (CCI_R) (CCI excluding hypertension [HTN], diabetes mellitus [DM], coronary artery disease [CAD], pneumonia, liver disease, and renal disease). From the year 2000 to 2015, this study recognized 48,956 individuals who fit the inclusion criteria. However, 38,945 patients were expelled based on the exclusion criteria. Eventually, the study cohort included 10,011 individuals. The control cohort was collected using the same criteria as the study cohort using four-fold propensity score matching by age, sex, and index date, resulting in 40,044 individuals being included in the comparison cohort. During the 16-year period, 2235 patients were confirmed with OAG, involving 376 individuals in the study cohort and 1859 individuals in the control cohort (Figure 1). This study protocol corresponded to the ethical guidelines of the 1975 Declaration of Helsinki.

2.3. Ethical Considerations

The NHIRD encodes personal patient information to protect privacy. To access NHIRD data, patient consent was not necessary. This study was approved by the Institutional Review Board of the Tri-Service General Hospital and the requirement for consent was waived (TSGHIRB No.: B-110-37).

2.4. Statistical Analysis

The Fisher’s exact test and Pearson chi-square test were used to calculate the differences in variables, such as age group, sex, and insurance premium, with statistical significance defined at p < 0.05. After adjusting the variables, we used univariate and multivariate Cox regression analyses to evaluate the adjusted hazard ratio (aHR) for the effect of using fibrate on preventing OAG. Then, we performed Kaplan–Meier analysis to predict the cumulative incidence of OAG in these two cohorts. We used SPSS 22nd edition to perform all statistical analyses (SPSS Inc., Chicago, IL, USA).

3. Results

3.1. Baseline Characteristics of the Subjects

Table 1 reveals the demographic characteristics of the cohorts. There were no significant differences in sex between the two groups. The mean age was 49.98 ± 18.25 years in the study cohort and 49.71 ± 18.03 years in the control cohort. The difference was not statistically significant (p = 0.181). In the comorbidity comparison, patients using fibrates had higher rates of DM, HTN, CAD, heart failure (HF), cardiovascular disease (CVD), renal disease, injury, tumor, and obesity (Figure 2). The CCI_R value was 1.06 ± 1.24 in the study cohort and 0.99 ± 1.18 in the control cohort (p < 0.001). Additionally, more individuals in the study cohort lived in eastern Taiwan, offshore islands, and the lowest urbanized areas, with most of them receiving therapy in physician clinics than in the control cohort (p < 0.001).

3.2. Fibrate Lowers the Risk of Developing OAG

We calculated the cumulative risk of developing OAG using the Kaplan–Meier method (Figure 3). The results revealed that after using fibrate for over seven years, the study cohort had a greatly lower rate of developing OAG than the control cohort (log-rank test p = 0.05). At the endpoint in the study cohort, the cumulative risk of OAG declined every year to 3.75% (376/10,011 individuals), and to 4.64% (1859/40,044 individuals) in the control cohort. In addition, the difference between two groups was obvious since the seventh year of follow-up (p < 0.05 since the seventh year).

3.3. The Risk Factors for OAG

Table 2 reveals the risk factors for OAG in the Cox regression analysis. The crude hazard ratio (HR) for OAG was 0.602 (95% CI = 0.387–0.955) times lower in the using fibrate group. After adjustment for covariates, the significance remained (adjusted HR = 0.624, 95% CI = 0.401–0.960). In both crude and adjusted HR analyses, patients with DM, HTN, CVD, CAD, obesity, and renal disease had a remarkably higher risk of developing OAG. The characteristics of the patients with other comorbidities, such as sex and other chronic diseases, were not obviously related with OAG diagnosis based on the obtained hazard ratios (all p > 0.05). Figure 4 revealed Forest plots of crude and adjusted HR for factors for OAG evaluated in Table 2.

3.4. The Total Incidence of OAG with and without Using Fibrate in the Subgroup Analysis

Comparing patients with and without using fibrate in the subgroup analysis (Table 3), the total incidence of OAG was 463.02 per 100,000 person-years in the study cohort and 573.65 per 100,000 person-years in the control cohort. Both male and female patients with using fibrate had a decreased risk of developing OAG (aHR = 0.630 in men and 0.618 in women, p = 0.014 and 0.001, respectively).

4. Discussion

This study included 10,011 patients in the study cohort and 40,044 patients in the control cohort. It shows that the rate of developing OAG was greatly lower in the study cohort than in the control cohort. Kaplan–Meier analysis also demonstrated that the cumulative risk of developing OAG was greatly decreased in the study cohort since the seventh year of using the fibrate. As far as we know, the relationship between using fibrates and OAG in humans has not been evaluated in previous studies.
In the study by Gupta et al. [6], the administration of clofibrate, a lipid-lowering agent, prevented a marked rise in the IOP before producing OAG in rabbits and, when given after producing OAG, caused a decline in IOP, thereby indicating that the drug could be of prophylactic and therapeutic value for OAG. However, contradictory results have been noted in a study involving human subjects [7]. In the study by James et al. [7], using fibrate did not lead to significant alterations in intraocular pressure or coefficients of outflow, and fibrates did not appear to be a useful addition to the drugs being used for OAG therapy. In our study, we first reported that using fibrate resulted in a 0.624-fold decreased risk of OAG (adjusted hazard ratio [HR] = 0.624, 95% CI = 0.401–0.960) compared to not using fibrate. Our results conflict with those in the previous literature. Nevertheless, our findings cannot be compared with other studies due to the different study designs and methodologies.
In the present study, patients with DM (aHR = 2.401, p ≤ 0.001), HTN (aHR = 1.762, p ≤ 0.001), CAD (aHR = 1.420, p ≤ 0.001), CVD (aHR = 1.594, p ≤ 0.001), renal disease (aHR = 1.562, p = 0.002), and obesity (aHR = 2.000, p ≤ 0.034) were at higher risk of OAG development. DM, HTN, CAD, CVD, renal disease, and obesity have been disclosed to be risk factors for OAG in previous studies [8,9,10,11,12,13]. Y. Jung et al. [8] conducted a population-based cohort study, and showed that DM was a great risk factor for OAG. Kuang et al. [9] conducted a population-based case-control study, and showed that OAG was associated with pre-existing HTN. Chen et al. [10] conducted a population-based retrospective cohort study, and showed that people with OAG may experience ischemic heart disease more often than those without glaucoma. De Escalona-Rojas et al. [11] conducted a cross-sectional study, and showed that there was a statistically great relation between the presence of CVD and/or cardiovascular risk factors with glaucomatous disease. Park et al. [12] conducted a population-based longitudinal cohort study and showed that OAG increased the risk of subsequent chronic kidney disease in the general population. Jung et al. [13] conducted a population-based, longitudinal prospective cohort study, and showed that obesity and metabolic health status were greatly related with an increased risk of OAG incidence. Consistent with the findings of previous studies [8,9,10,11,12,13], our study found that DM, HTN, CAD, CVD, renal disease, and obesity were risk factors for OAG development (Table 2).
Furthermore, considering using fibrate as a presumed indicator, we performed a subgroup analysis in our study (Table 3). Patients using fibrate had a decreased risk of developing OAG than those in the control cohort, in spite of sex group analysis, with this difference being statistically significant (p < 0.050). It is possible that the study cohort included patients who had maladaptive endocrine conditions. Their unstable systemic conditions may have led to hyperlipidemia and induced multiple organ dysfunction, manifesting as DM, HTN, CAD, CVD, renal disease, obesity, and OAG.
Hyperlipidemia is greatly related with an increased risk of OAG. In fact, increased blood lipid levels are associated with increased intraocular pressure [2]. Fibrates are an extensively used class of lipid-lowering agents, which activate peroxisome proliferator-activated receptors (PPARs) [14]. PPARα is the molecular target of fibrates. Activation of PPARα remarkably declines production of hepatic triglyceride and improves clearance of plasma triglyceride, resulting in a clinically great reduction in plasma triglyceride levels. Additionally, plasma high-density lipoprotein cholesterol levels are increased upon PPARα activation [15]. PPARα activation has anti-fibrotic, anti-angiogenic, and anti-inflammatory effects, and can also modulate oxidative stress responses in different organs (including the eyes). The pathologic mechanisms of OAG involve neo-angiogenesis, inflammation, and oxidative stress-mediated cell death, but evidence is accumulating regarding the potential benefits of PPAR modulation in preventing or ameliorating eye pathologies [16]. According to the aforementioned studies, fibrates are an alternative therapy given for OAG patients, with their results finding that OAG may be associated with PPARα activity. In our study, using fibrate over seven years has been associated with lower OAG risk in patients with hyperlipidemia.
Our study has some limitations. First of all, our study was a retrospective cohort study. Next, database research studies lack data regarding imaging examination findings, such as from fundoscopy, perimetry, and optical coherence tomography findings, that would have helped confirm the patients’ diagnosis of OAG. Third, our population in this study was Han Chinese in Taiwan. Therefore, other ethnic groups may not be applicable to our study results. Lastly, there is selection bias since the cohort enrollment was limited to patients with OAG and the control cohort in our study. Nonetheless, there are some strengths in our study. First, since Taiwan started the NHI system in 1995, longitudinal data analysis was allowed to compare the cumulative incidence of OAG between the study cohort and control cohort over a long-term study period. In addition, all citizens in Taiwan are obligated to enroll in the NHI, which made the coverage rate almost 99% [17]. Therefore, the data we collected in our study were from a population-based, nationwide database in Taiwan. However, we are not sure about the exact mechanism which may lead to a lower OAG risk after using fibrates for over seven years. Further detailed studies should be conducted to clarify this correlation.

5. Conclusions

In conclusion, the results indicating that using fibrates for over seven years can lower OAG risk is proved by the statistical information from the NHIRD. This finding can be validated and confirmed by determining the molecular mechanisms and the pathogenic pathways of OAG affected by fibrates. If the protective effect of fibrates is confirmed in future studies, they may represent a novel therapeutic strategy for treating OAG.

Author Contributions

Conceptualization, Y.-E.T. and K.-H.C.; methodology, Y.-H.C., W.-C.C. and K.-H.C.; software, C.-A.S., C.-H.C. and W.-C.C.; validation, Y.-H.C., W.-C.C. and K.-H.C.; formal analysis, Y.-E.T., C.-A.S., C.-H.C. and W.-C.C.; investigation, Y.-E.T. and K.-H.C.; resources, W.-C.C. and K.-H.C.; data curation, C.-A.S., C.-H.C. and W.-C.C.; writing—original draft preparation, Y.-E.T.; writing—review and editing, Y.-H.C. and K.-H.C.; visualization, W.-C.C. and K.-H.C.; supervision, W.-C.C. and K.-H.C.; project administration, Y.-E.T., W.-C.C. and K.-H.C. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the Tri-Service General Hospital Research Foundation (TSGH-B-111018), and the sponsor has no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Institutional Review Board Statement

This study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board of the Tri-Service General Hospital (TSGHIRB No. B-110-37).

Informed Consent Statement

The NHIRD encodes personal patient information to maintain privacy. Patient consent was not required to access NHIRD data.

Data Availability Statement

Data available in a publicly accessible repository. The data presented in this study are openly available in FigShare at https://figshare.com/s/15bd22eea7e8e207d3b5, https://figshare.com/s/9bb3518d46c18dbf2014, https://figshare.com/s/84b432a389fb7b5ac39c (accessed on 17 February 2022).

Acknowledgments

The authors appreciate the Health and Welfare Data Science Center, Ministry of Health and Welfare, Taiwan, for providing the National Health Insurance Research Database for this study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Chan, E.W.; Li, X.; Tham, Y.-C.; Liao, J.; Wong, T.Y.; Aung, T.; Cheng, C.-Y. Glaucoma in Asia: Regional prevalence variations and future projections. Br. J. Ophthalmol. 2016, 100, 8–85. [Google Scholar] [CrossRef] [PubMed]
  2. Wang, S.; Bao, X. Hyperlipidemia, blood lipid level, and the risk of glaucoma: A meta-analysis. Investig. Ophthalmol. Vis. Sci. 2019, 60, 1028–1043. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Bogdanov, P.; Herna´ndez, C.; Corraliza, L.; Carvalho, A.R.; Simo, R. Effect of fenofibrate on retinal neurodegeneration in an experimental model of type 2 diabetes. Acta Diabetol. 2015, 52, 113–122. [Google Scholar] [CrossRef] [PubMed]
  4. Escandon, P.; Vasini, B.; Whelchel, A.E.; Nicholas, S.E.; Matlock, H.G.; Ma, J.-X.; Karamichos, D. The role of peroxisome proliferator-activated receptors in healthy and diseased eyes. Exp. Eye Res. 2021, 208, 108617. [Google Scholar] [CrossRef] [PubMed]
  5. Bordet, R.; Ouk, T.; Petrault, O.; Gelé, P.; Gautier, S.; Laprais, M.; Deplanque, D.; Duriez, P.; Staels, B.; Fruchart, J.C.; et al. PPAR: A new pharmacological target for neuroprotection in stroke and neurodegenerative diseases. Biochem. Soc. Trans. 2006, 34, 1341–1346. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Gupta, M.C.; Khosla, P.; Garg, K.N. Evaluation of effects of clofibrate, an antilipaemic agent on intraocular pressure in experimental glaucoma. Ind. J. Ophthalmol. 1985, 33, 313–315. [Google Scholar]
  7. Marrs, J.M.; Rowe, K.W., Jr. The effect of clofibrate on open-angle glaucoma. Arch. Ophthalmol. 1969, 82, 19–20. [Google Scholar] [CrossRef] [PubMed]
  8. Jung, Y.; Han, K.; Park, H.-Y.L.; Park, C.K. Type 2 diabetes mellitus and risk of open-angle glaucoma development in Koreans: An 11-year nationwide propensity-score-matched study. Diabetes Metab. 2018, 44, 328–332. [Google Scholar] [CrossRef] [PubMed]
  9. Kuang, T.M.; Xirasagar, S.; Kao, Y.-W.; Shia, B.-C.; Lin, H.-C. Association of systemic hypertension with primary open-angle glaucoma: A population based case-control study. Am. J. Ophthalmol. 2020, 218, 99–104. [Google Scholar] [CrossRef] [PubMed]
  10. Chen, Y.-Y.; Hu, H.-Y.; Chu, D.; Chen, H.-H.; Chang, C.-K.; Chou, P. Patients with primary open-angle glaucoma may develop ischemic heart disease more often than those without glaucoma: An 11-year population-based cohort study. PLoS ONE 2016, 11, e0163210. [Google Scholar] [CrossRef] [PubMed]
  11. De Escalona-Rojas, J.E.M.; Cantero-Hinojosa, J.; Garrido-Pareja, F.; García-Serrano, J.L.; Padilla-Torres, J.F. Hemodynamic component in glaucoma and its association with risk factors and cardiovascular disease. Med. Clin. 2014, 143, 157–160. [Google Scholar]
  12. Park, S.J.; Byun, S.J.; Park, J.Y.; Kim, M. Primary open-angle glaucoma and increased risk of chronic kidney disease. J. Glaucoma 2019, 28, 1067–1073. [Google Scholar] [CrossRef] [PubMed]
  13. Jung, Y.; Han, K.; Park, H.-Y.L.; Lee, S.H.; Park, C.K. Metabolic health, obesity, and the risk of developing open-angle glaucoma: Metabolically healthy obese patients versus metabolically unhealthy but normal weight patients. Diabetes Metab. J. 2020, 44, 414–425. [Google Scholar] [CrossRef]
  14. Staels, B.; Dallongeville, J.; Auwerx, J.; Schoonjans, K.; Leitersdorf, E.; Fruchart, J.C. Mechanism of action of fibrates on lipid and lipoprotein metabolism. Circulation 1998, 98, 2088–2093. [Google Scholar] [CrossRef] [Green Version]
  15. Kersten, S. Peroxisome proliferator activated receptors and lipoprotein metabolism. PPAR Res. 2008, 2008, 132960. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Castelli, V.; d’Angelo, M.; Antonosante, A.; Catanesi, M.; Benedetti, E.; Desideri, G.; Cimini, A. Physiology and pathophysiology of PPARs in the eye. Nucl. Recept. Res. 2018, 5, 101370. [Google Scholar] [CrossRef]
  17. Wu, T.Y.; Majeed, A.; Kuo, K.N. An overview of the healthcare system in Taiwan. Lond. J. Prim. Care 2010, 3, 115–119. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Flowchart of the study sample selection from the NHIRD in Taiwan.
Figure 1. Flowchart of the study sample selection from the NHIRD in Taiwan.
Ijerph 19 02415 g001
Figure 2. Bar chart of the comorbidities of the study population from Table 1.
Figure 2. Bar chart of the comorbidities of the study population from Table 1.
Ijerph 19 02415 g002
Figure 3. Kaplan-Meier analysis of the cumulative risk of open-angle glaucoma among patients aged 18 and over, stratified by using fibrate with the log-rank test.
Figure 3. Kaplan-Meier analysis of the cumulative risk of open-angle glaucoma among patients aged 18 and over, stratified by using fibrate with the log-rank test.
Ijerph 19 02415 g003
Figure 4. Forest plots of crude (a) and adjusted (b) hazard ratio for factors for open-angle glaucoma evaluated in Table 2.
Figure 4. Forest plots of crude (a) and adjusted (b) hazard ratio for factors for open-angle glaucoma evaluated in Table 2.
Ijerph 19 02415 g004
Table 1. Baseline characteristics of the study population.
Table 1. Baseline characteristics of the study population.
FibrateTotalWithWithoutp
Variablesn%n%n%
Total50,055 10,011 20.00 40,044 80.00
Gender 0.999
Male27,855 55.65 5571 55.65 22,284 55.65
Female22,200 44.35 4440 44.35 17,760 44.35
Age (years)49.76 ± 18.07 49.98 ± 18.25 49.71 ± 18.03 0.181
DM <0.001
Without38,636 77.19 7136 71.28 31,500 78.66
With11,419 22.81 2875 28.72 8544 21.34
HTN <0.001
Without39,231 78.38 7499 74.91 31,732 79.24
With10,824 21.62 2512 25.09 8312 20.76
CAD 0.032
Without40,557 81.02 8036 80.27 32,521 81.21
With9498 18.98 1975 19.73 7523 18.79
HF <0.001
Without46,350 92.60 9131 91.21 37,219 92.95
With3705 7.40 880 8.79 2825 7.05
CVD 0.009
Without41,922 83.75 8298 82.89 33,624 83.97
With8133 16.25 1713 17.11 6420 16.03
Renal disease 0.049
Without44,138 88.18 8771 87.61 35,367 88.32
With5917 11.82 1240 12.39 4677 11.68
Injury 0.424
Without46,141 92.18 9209 91.99 36,932 92.23
With3914 7.82 802 8.01 3112 7.77
Tumor 0.119
Without44,941 89.78 8946 89.36 35,995 89.89
With5114 10.22 1065 10.64 4049 10.11
Obesity <0.001
Without49,732 99.35 9910 98.99 39,822 99.45
With323 0.65 101 1.01 222 0.55
CCI_R1.00 ± 1.19 1.06 ± 1.240.99 ± 1.18<0.001
Location <0.001
Northern Taiwan15,118 30.20 3012 30.09 12,106 30.23
Middle Taiwan13,522 27.01 2511 25.08 11,011 27.50
Southern Taiwan14,683 29.33 2804 28.01 11,879 29.66
Eastern Taiwan5256 10.50 1375 13.73 3881 9.69
Outlets islands1476 2.95 309 3.09 1167 2.91
Urbanization level 0.083
1 (The highest)14,644 29.26 2886 28.83 11,758 29.36
215,284 30.53 3015 30.12 12,269 30.64
39974 19.93 1988 19.86 7986 19.94
4 (The lowest)10,153 20.28 2122 21.20 8031 20.06
Level of care <0.001
Medical center10,389 20.76 2024 20.22 8365 20.89
Regional hospital11,874 23.72 1988 19.86 9886 24.69
Local hospital12,622 25.22 2498 24.95 10,124 25.28
Physician Clinics15,170 30.31 3501 34.97 11,669 29.14
p, Chi-square/Fisher exact test on category variables and t test on continue variables. CCI_R, Charlson comorbidity index removed HF, DM, HTN, CVD, and CAD; CAD, coronary artery disease; CVD, cardiovascular disease; DM, diabetes mellitus; HF, heart failure; HTN, hypertension.
Table 2. Factors for open-angle glaucoma evaluated with Cox regression.
Table 2. Factors for open-angle glaucoma evaluated with Cox regression.
VariablesCrude HR95% CI95% CIpAdjusted HR95% CI95% CIp
Fibrate
WithoutReference Reference
With0.602 0.387 0.955 0.001 0.624 0.401 0.960 0.007
Gender
Male1.088 0.927 1.356 0.186 1.065 0.894 1.246 0.203
FemaleReference Reference
Age (yrs)1.7521.2011.976<0.0011.8921.2442.045<0.001
DM
WithoutReference Reference
With2.989 2.235 3.786 <0.0012.401 1.888 3.097 <0.001
HTN
WithoutReference Reference
With2.075 1.562 2.544 <0.0011.762 1.301 2.026 <0.001
CAD
WithoutReference Reference
With1.562 1.268 1.885 <0.0011.420 1.165 1.831 <0.001
HF
WithoutReference Reference
With1.103 0.892 1.378 0.188 1.086 0.781 1.279 0.276
CVD
WithoutReference Reference
With1.664 1.304 1.904 <0.0011.594 1.289 1.862 <0.001
Injury
WithoutReference Reference
With1.303 0.624 1.880 0.486 1.186 0.597 1.789 0.571
Renal disease
WithoutReference Reference
With1.894 1.341 2.275 <0.0011.562 1.048 2.076 0.002
Tumor
WithoutReference Reference
With1.234 0.670 1.786 0.611 1.189 0.583 1.660 0.679
Obesity
WithoutReference Reference
With2.201 1.046 5.484 0.005 2.000 1.017 5.231 0.034
HR, hazard ratio; CI, confidence interval; Adjusted HR, adjusted variables listed in the table.
Table 3. Factors for open-angle glaucoma stratified by variables listed in the table evaluated with Cox regression.
Table 3. Factors for open-angle glaucoma stratified by variables listed in the table evaluated with Cox regression.
FibrateWithWithout (Reference)With vs. Without (Reference)
StratifiedEventsPYsRate (per 105 PYs)EventsPYsRate (per 105 PYs)Adjusted HR95% CI95% CIp
Total376 81,205.68 463.02 1859 324,065.72 573.65 0.624 0.401 0.960 0.007
Gender
Male190 45,189.96 420.45 931 180,339.64 516.25 0.630 0.406 0.969 0.014
Female186 36,015.73 516.44 928 143,726.08 645.67 0.618 0.398 0.951 0.001
PYs, person-years; Adjusted HR, adjusted hazard ratio (adjusted for the variables listed in Table 3); CI, confidence interval.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Tsai, Y.-E.; Chen, Y.-H.; Sun, C.-A.; Chung, C.-H.; Chien, W.-C.; Chien, K.-H. Relationship between Using Fibrate and Open-Angle Glaucoma in Hyperlipidemic Patients: A Population-Based Cohort Study. Int. J. Environ. Res. Public Health 2022, 19, 2415. https://doi.org/10.3390/ijerph19042415

AMA Style

Tsai Y-E, Chen Y-H, Sun C-A, Chung C-H, Chien W-C, Chien K-H. Relationship between Using Fibrate and Open-Angle Glaucoma in Hyperlipidemic Patients: A Population-Based Cohort Study. International Journal of Environmental Research and Public Health. 2022; 19(4):2415. https://doi.org/10.3390/ijerph19042415

Chicago/Turabian Style

Tsai, Yung-En, Yi-Hao Chen, Chien-An Sun, Chi-Hsiang Chung, Wu-Chien Chien, and Ke-Hung Chien. 2022. "Relationship between Using Fibrate and Open-Angle Glaucoma in Hyperlipidemic Patients: A Population-Based Cohort Study" International Journal of Environmental Research and Public Health 19, no. 4: 2415. https://doi.org/10.3390/ijerph19042415

APA Style

Tsai, Y. -E., Chen, Y. -H., Sun, C. -A., Chung, C. -H., Chien, W. -C., & Chien, K. -H. (2022). Relationship between Using Fibrate and Open-Angle Glaucoma in Hyperlipidemic Patients: A Population-Based Cohort Study. International Journal of Environmental Research and Public Health, 19(4), 2415. https://doi.org/10.3390/ijerph19042415

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop