|Year : 2020 | Volume
| Issue : 1 | Page : 5-9
Correlation of open-angle glaucoma and ocular perfusion pressure in hypertensive individuals
Rekha Khandelwal1, Rachit Khandelwal2, Dhananjay Raje3, Deepa Kumar2, Anand Rathi2
1 Department of Ophthalmology, NKP Salve Institute of Medical Sciences and Research Centre, Nagpur, Maharashtra, India
2 NKP Salve Institute of Medical Sciences and Research Centre, Nagpur, Maharashtra, India
3 Data Analytics Division, MDS Bio-analytics, Nagpur, Maharashtra, India
|Date of Submission||24-Dec-2018|
|Date of Acceptance||29-May-2019|
|Date of Web Publication||6-Mar-2020|
Department of Ophthalmology, NKP Salve Institute of Medical Sciences and Research Centre, Nagpur - 440 019, Maharashtra
Source of Support: None, Conflict of Interest: None
Background: Systemic hypertension has been recognized as a potential risk factor for primary open-angle glaucoma (POAG). Purpose: The purpose of this study is to study the correlation of systemic blood pressure, intraocular pressure (IOP), and ocular perfusion pressure (OPP) for the development of glaucoma in hypertensive individuals. Methods: After Institutional Ethics Committee approval, a hospital-based case–control study was conducted in a tertiary care hospital. The study group comprised of patients with systemic hypertension, and the control group had the age- and sex-matched normotensives. POAG was diagnosed if glaucomatous cupping and characteristics visual field defects were present with open angles on gonioscopy. OPP was compared between POAG and non-POAG groups. Results: In this study of 103 hypertensive and 100 normotensive patients, the mean IOP was higher among hypertensives. There were 9 (8.74%) cases of POAG in hypertensive group and 2 (2%) in the normotensive group. The mean IOP in hypertensive group was 16.5 ± 4.5 mmHg, and that of normotensive group was 13.14 ± 3.19 mmHg. The mean OPP in hypertensive patients with glaucoma was 49.38 ± 2.6 mmHg, which was significantly lower than that of patients without glaucoma, i.e., 60.16 ± 5.42 mmHg, as indicated by P < ,0.001. Conclusion: This study reveals that hypertensive patients taking anti-HT treatment with POAG have lower mean OPP as compared to those without POAG. The higher OPP could be protective against glaucomatous condition; however, interdisciplinary management of open-angle glaucoma and hypertension is the need for a better quality of life of such patients.
Keywords: Intraocular pressure, ocular perfusion pressure, primary open-angle glaucoma, systemic hypertension
|How to cite this article:|
Khandelwal R, Khandelwal R, Raje D, Kumar D, Rathi A. Correlation of open-angle glaucoma and ocular perfusion pressure in hypertensive individuals. J Clin Ophthalmol Res 2020;8:5-9
|How to cite this URL:|
Khandelwal R, Khandelwal R, Raje D, Kumar D, Rathi A. Correlation of open-angle glaucoma and ocular perfusion pressure in hypertensive individuals. J Clin Ophthalmol Res [serial online] 2020 [cited 2020 Sep 28];8:5-9. Available from: http://www.jcor.in/text.asp?2020/8/1/5/280217
Glaucoma is a group of ocular disorders characterized by optic neuropathy and visual field loss. This may or may not be accompanied by a rise in intraocular pressure (IOP). It is a chronic progressive disease and eventually leads to irreversible form of blindness. In India, glaucoma is estimated to affect over 11 million people and is the third most common cause of blindness after cataract and corneal blindness.
Vascular risk factors such as systemic hypertension, atherosclerosis, and vasospasm have been recognized as potential factors that are capable of increasing the risk of primary open-angle glaucoma (POAG) and normal tension glaucoma (NTG)., It has been hypothesized that low blood pressure (BP) relative to IOP leads to low ocular perfusion pressure (OPP) of the optic nerve leading to glaucomatous disc changes and visual field loss.,
Chronically elevated BP leads to arteriosclerotic changes and changes in the size of the precapillary arterioles which gives rise to increased resistance to blood flow and hence reduced perfusion.
In the Blue Mountain Eye Study and the Egna-Neumarkt study, the association has been found between POAG and systemic hypertension., In contrast, studies performed by Deb et al. and Vijaya et al. have reported no significant association between the two.,,
Recent literature suggests that the measurement of OPP is a highly relevant parameter in open-angle glaucoma patients. Fluctuations in the OPP is a known contributing factor in the development of glaucomatous disc changes in the subgroup of POAG, as known as NTG.
It has also been observed that individuals on antihypertensive medications were 2–3 times more likely to be affected by glaucoma. This may be attributed to the bedtime dosage of antihypertensive drugs which cause a drop in nocturnal BP, eventually leading to a reduction in OPP.
A study performed by Pache and Flammer reported a nocturnal dip in BP as an important risk factor for POAG. The Thessaloniki eye study noted that lowering of BP from antihypertensive treatment was associated with glaucomatous changes.
With the above context, the present study was designed to analyze the relationship between POAG and OPP in hypertensive patients as compared to normotensive patients.
| Methods|| |
After Institutional Ethics Committee approval following the tenets of the Declaration of Helsinki, a hospital-based case–control study was carried out in a tertiary health-care center attached to an academic institute. The study group included either self-reported or newly diagnosed cases of systemic hypertension (n = 103) attending once a week medicine outpatient department (OPD) of a senior physician (RM) during 2 months. Informed consent was taken from all the individuals in their vernacular language (Hindi/Marathi). The demographic details of all individuals were recorded in the Case Record form. Individuals more than 40 years of age, either sex were included in the study. Systemic hypertension was defined as the systolic BP (SBP) ≥140 mmHg and/or Diastolic BP (DBP) ≥90 mmHg. Detailed history regarding the duration of hypertension, family history, and antihypertensive medications was recorded. Patients with diabetes mellitus and thyroid disorders were excluded from the stuy. Patients with hypertension due to secondary causes (endocrine, kidney, or steroid use) and poor medical condition (illness), trauma, comatose, and unwilling to participate were also excluded from the study. The control group comprised of age- and sex-matched normotensive participants (n = 100) attending eye OPD during the same 2 months of the study.
Single measurement of BP was taken for all the individuals in the right upper arm in the sitting position using a mercury sphygmomanometer (as per the American Heart Association BP measurement recommendation).
Comprehensive glaucoma evaluation was performed on individuals of both the groups by the guide (Senior Ophthalmologist). This included Slit Lamp examination, IOP measurement by Goldmann Applanation tonometer, Zeiss 4 mirror gonioscopy, optic disc evaluation by 90D Volk Lens, and Visual Field charting by 24-2 Humphrey Field Analyzer.
Automated perimetry (Thresholding Algorithm 24-2; Humphrey Field Analyzer; Carl Zeiss AG) were performed on all the patients and repeated if the test reliability was not satisfactory (fixation loss >20%, false positive >33%, or false negative >33%) or there was a glaucomatous field defect.
POAG was diagnosed if glaucomatous cupping and characteristics field defects were present along with thinning of retinal nerve fiber layer in the presence of open angles on 4-mirror gonioscopy. The patients were categorized on the basis of the International Society of Geographical and Epidemiological Ophthalmology Classification scheme.
The diagnosis was made according to three levels of evidence.
Category 1 diagnosis (structural and functional evidence) – Eyes with a cup-disc ratio (CDR) or CDR asymmetry ≥97.5th percentile for the normal population, or a neuroretinal rim width reduced to ≤0.1 CDR (between 11 and 1 o'clock or 5 and 7 o'clock) that also showed a definite visual field defect consistent with glaucoma.
Category 2 diagnosis (advanced structural damage with unproved field loss) – If the individual could not satisfactorily complete visual field testing but had a CDR or CDR asymmetry ≥99.5th percentile for the normal population, glaucoma was diagnosed solely on the structural evidence.
In diagnosing category 1 or 2 glaucoma, there should be no alternative explanation for CDR findings (dysplastic disc or marked anisometropia) or the visual field defect (retinal vascular disease, macular degeneration, or cerebrovascular disease).
Category 3 diagnosis (Optic disc not visible, VF test not possible) – If it was not possible to examine the optic disc, glaucoma is diagnosed if: (A) the visual acuity <3/60 and the IOP >99.5th percentile, or (B) the visual acuity <3/60 and the eye showed evidence of glaucoma filtering surgery, or medical records were available confirming glaucomatous visual morbidity.
Those with normal IOP with the typical disc and field changes were classified as NTG while those who presented with raised IOP with glaucomatous disc and field changes were termed as POAG. Ocular hypertension was defined as IOP more than 21 mmHg with normal disc and fields. The findings were recorded using standardized glaucoma assessment tool (case record form).
OPP was calculated by the standard formula as follows:
OPP = 2/3 × (MAP-IOP)
Where, mean arterial pressure (MAP) = DBP + 1/3(SBP-DBP)
The baseline characteristics of patients were summarized according to the scale of measurement in both hypertensive and normotensive groups. The continuous parameters were evaluated for significance of the difference between two groups using t-test of independent samples, while parameters on nominal scale were evaluated using Pearson's Chi-square test. The comparison of mean IOP and OPP across hypertensive (on anti-HT drugs and not on anti-HT drugs) and normotensive patients was performed using one-way analysis of variance. Paired comparison between groups was carried out using Tukey's post hoc test. Further, the comparison of OPP between hypertensive and normotensive patients with and without POAG was performed using t-test for independent samples. The statistical significance was tested at 5% level, and all the analyses were performed using SPSS version 20 (IBM Corp. Armonk, USA).
| Results|| |
A total of 203 individuals participated in this study. There were 103 patients in the hypertensive group, and equivalently age- and gender-matched 100 individuals in the control group. The baseline characteristics in the two study groups are shown in [Table 1]. The mean systolic, DBP and MAP were significantly higher in hypertensive group as compared to normotensive group. There were 9 (8.74%) cases of POAG in hypertensive group and 2 (2%) cases in the normotensive group. The mean IOP as well as OPP in hypertensive group was statistically higher than normotensive group, as shown in [Table 2]. Of 103 hypertensive patients, 76 were taking antihypertensive drugs, while 27 were not on any medication. [Table 3] shows that mean IOP across hypertensive with or without medication and normotensive individuals were significantly different as indicated by P < 0.001. The mean IOP of hypertensive patients on medication (16.63 ± 4.75 mmHg) was insignificantly different than those without medication (16.15 ± 3.79 mmHg), while the mean IOP of normotensive (13.14 ± 3.19 mmHg) was significantly lower than hypertensive groups, as obtained through pairwise post hoc analysis. The mean OPP across groups also differed significantly (P< 0.001). The post hoc analysis revealed that the mean OPP for hypertensive patients on medication (56.44 ± 3.80 mmHg) differed insignificantly from that of normotensive group (55.41 ± 2.50 mmHg); however, these means were significantly lower than that of hypertensive patients without medication (67.05 ± 4.04 mmHg).
|Table 2: Descriptive statistics for intraocular pressure and ocular perfusion pressure in two groups|
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|Table 3: Descriptive statistics for intraocular pressure and ocular perfusion pressure in hypertensive with antihypertensive drug, without drugs and normotensive subjects|
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The analysis of mean OPP was also performed considering the POAG status of individuals, as shown in [Table 4]. There were 8 individuals with POAG and on anti-HT treatment, while only 1 with POAG but without anti-HT treatment. Hence, comparison of OPP was performed between hypertensive patients on treatment and normotensive group. The mean OPP between hypertensive patients on anti HT treatment (48.67 ± 1.67 mmHg) was insignificantly different than normotensive group (46.23 ± 0.95); however, in the non-POAG group, the mean for hypertensive patients (60.16 ± 5.42 mmHg) was significantly higher than normotensive group (55.35 ± 2.16 mmHg) with P < 0.001. Furthermore, the comparison of OPP was performed between POAG and non-POAG groups. In hypertensive patients on anti-HT drugs, the mean in non-POAG category (60.16 ± 5.42 mmHg) was significantly higher than that of POAG category (48.67 ± 1.67 mmHg) with P < 0.001. In the normotensive group, the mean OPP in non-POAG category (55.35 ± 2.16 mmHg) was significantly higher than POAG category (46.23 ± 0.95 mmHg) with P = 0.0293.
|Table 4: Descriptive statistics for ocular perfusion pressure according to hypertensive and glaucoma status|
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| Discussion|| |
Glaucoma is reported to be steadily increasing worldwide and particularly in South Central Asia., While studying glaucoma burden in Indian population, it was found that most of the glaucoma was advanced and undiagnosed at the time of diagnosis.,, Autoregulation of retinal blood flow and role of ocular perfusion pressure in healthy volunteers was studied by Riva et al. Later lower ocular perfusion pressure was found to be an independent risk factor for open angle glaucoma. It was reported that there is a role of systemic hypotension at night which in turn leads to low perfusion pressure of optic nerve head and increased risk of glaucoma.,, Hence, a positive correlation was found between blood pressure and IOP. Further, an ocular blood flow study also showed vascular abnormalities like altered resistivity index of Ophthalmic artery in glaucoma patients on Colour Doppler Imaging (CDI). The circadian dysfunction in systemic blood pressure, OPP and ocular blood flow was found to be an important risk factor for the severity of glaucoma.,,
In this case–control study of age- and sex-matched 103 hypertensives and 100 normotensive patients, we found that the mean IOP was higher in the hypertensive patients as compared to the control group. The Baltimore Eye survey reported that high IOP was found in patients with systemic hypertension and was a risk factor in the development of POAG. Evidence from the published literature and clinical trials suggests that OPP can also be linked to open-angle glaucoma. The OPP is the difference between IOP and SBP. Based on the evidence, low OPP is a risk factor for glaucomatous optic neuropathy in open-angle glaucoma. In our study, the mean OPP was higher in hypertensive group as compared to the normotensive group. This calculation using theoretical formulae in the office may not reflect the real status of OPP. As BP and IOP show diurnal variation hence single elevated or normal reading of BP or IOP may not represent the actual BP or IOP of an individual. The OPP in glaucoma is altered and shows fluctuations during 24-h circadian rhythm. It has detrimental effects on in the eyes with POAG who also have short-term IOP fluctuations during 24 h.,
The association between POAG and systemic hypertension has been studied by various population-based studies published in literature. The Blue Mountain Eye Study and Egna-Neumarkt study found a positive correlation between open-angle glaucoma and systemic hypertension., But Deb et al. and Vijaya et al. found no significant association between the two.,,
In the Barbados Eye Study, systemic hypertension was found to be an important vascular risk factor, but it was not statistically relevant to the prevalence of glaucoma. Our study also did not found a significant association between open-angle glaucoma and systemic hypertension possibly due to small sample size. Patients with systemic hypertension on antihypertensive drugs may have DBP lower during the night as compared to day time. This nocturnal dip in the DBP can cause defective perfusion of optic nerve head leading to glaucoma. In our study, we calculated OPP in patients taking antihypertensives drugs and compared it with patients, not on antihypertensive drugs. We found that the mean OPP in patients taking antihypertensives drugs was significantly lower as compared to those not on antihypertensive treatment, and our results are similar to other studies reported in the literature.
In the present study, mean OPP in hypertensive patients with POAG was also compared to hypertensive patients without glaucoma. We found mean OPP was significantly lower in hypertensive patients with glaucoma. These findings provide evidence toward the role of OPP in the pathogenesis of POAG. We observed 9 cases of POAG in hypertensive patients out of which 8 were regularly taking anti-HT medication, while one was noncompliant for medication and hence was ignored from the comparison. These 8 POAG cases were compared with 2 POAG cases from the normotensive group; however, the comparison of OPP between two groups may not be justified due to small sample sizes, which was one of the shortcomings of this study. We could not measure 24-h BP to account for nocturnal hypotension in these patients, which was also the limitation of this study. Real incidence of open-angle glaucoma in hypertensive patients and its correlation with OPP can only be proved by continuous BP monitoring and recording of diurnal variation of IOP in longitudinal studies with large sample size. Although it is a study with a small sample size, it points toward the role of OPP in hypertensive patients in the development of glaucoma, and hence interdisciplinary management is the need of the hour.
The authors would like to thank the STS program of the Indian Council of Medical Research, eye department, and patients for their support in the execution of this study.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
George R, Ve RS, Vijaya L. Glaucoma in India: Estimated burden of disease. J Glaucoma 2010;19:391-7.
Rekhi GS, Kulshreshtha OP. Common causes of blindness: A pilot survey in Jaipur, Rajasthan. Indian J Ophthalmol 1991;39:108-11.
] [Full text]
Omoti AE, Enock ME, Okeigbemen VW, Akpe BA, Fuh UC. Vascular risk factors for open angle glaucoma in African eyes. Middle East Afr J Ophthalmol 2009;16:146-50.
] [Full text]
Ali El Afrit M, Trojet S, Mazlout H, Hamdouni M, Korchene N, Kraiem A. Vascular profile of patients with normal tension glaucoma. Tunis Med 2008;86:355-7.
Caprioli J, Coleman AL; Blood Flow in Glaucoma Discussion. Blood pressure, perfusion pressure, and glaucoma. Am J Ophthalmol 2010;149:704-12.
Memarzadeh F, Ying-Lai M, Chung J, Azen SP, Varma R; Los Angeles Latino Eye Study Group. Blood pressure, perfusion pressure, and open-angle glaucoma: The Los Angeles Latino eye study. Invest Ophthalmol Vis Sci 2010;51:2872-7.
Mitchell P, Lee AJ, Rochtchina E, Wang JJ. Open-angle glaucoma and systemic hypertension: The blue mountains eye study. J Glaucoma 2004;13:319-26.
Bonomi L, Marchini G, Marraffa M, Bernardi P, Morbio R, Varotto A. Vascular risk factors for primary open angle glaucoma: The Egna-Neumarkt study. Ophthalmology 2000;107:1287-93.
Deb AK, Kaliaperumal S, Rao VA, Sengupta S. Relationship between systemic hypertension, perfusion pressure and glaucoma: A comparative study in an adult Indian population. Indian J Ophthalmol 2014;62:917-22.
] [Full text]
Vijaya L, George R, Baskaran M, Arvind H, Raju P, Ramesh SV, et al.
Prevalence of primary open-angle glaucoma in an urban South Indian population and comparison with a rural population. The Chennai glaucoma study. Ophthalmology 2008;115:648-540.
Vijaya L, George R, Paul PG, Baskaran M, Arvind H, Raju P, et al.
Prevalence of open-angle glaucoma in a rural South Indian population. Invest Ophthalmol Vis Sci 2005;46:4461-7.
Quaranta L, Katsanos A, Russo A, Riva I. 24-hour intraocular pressure and ocular perfusion pressure in glaucoma. Surv Ophthalmol 2013;58:26-41.
Choi J, Jeong J, Cho HS, Kook MS. Effect of nocturnal blood pressure reduction on circadian fluctuation of mean ocular perfusion pressure: A risk factor for normal tension glaucoma. Invest Ophthalmol Vis Sci 2006;47:831-6.
Pache M, Flammer J. A sick eye in a sick body? Systemic findings in patients with primary open-angle glaucoma. Surv Ophthalmol 2006;51:179-212.
Topouzis F, Coleman AL, Harris A, Jonescu-Cuypers C, Yu F, Mavroudis L, et al.
Association of blood pressure status with the optic disk structure in non-glaucoma subjects: The Thessaloniki eye study. Am J Ophthalmol 2006;142:60-7.
Tham YC, Li X, Wong TY, Quigley HA, Aung T, Cheng CY, et al.
Global prevalence of glaucoma and projections of glaucoma burden through 2040: A systematic review and meta-analysis. Ophthalmology 2014;121:2081-90.
Chan EW, Li X, Tham YC, Liao J, Wong TY, Aung T, et al.
Glaucoma in Asia: Regional prevalence variations and future projections. Br J Ophthalmol 2016;100:78-85.
Chen PP. Risk and risk factors for blindness from glaucoma. Curr Opin Ophthalmol 2004;15:107-11.
Dandona L, Dandona R, Srinivas M, Mandal P, John RK, McCarty CA, et al.
Open-angle glaucoma in an urban population in Southern India: The Andhra Pradesh eye disease study. Ophthalmology 2000;107:1702-9.
Garudadri C, Senthil S, Khanna RC, Sannapaneni K, Rao HB. Prevalence and risk factors for primary glaucomas in adult urban and rural populations in the Andhra Pradesh eye disease study. Ophthalmology 2010;117:1352-9.
Riva CE, Grunwald JE, Petrig BL. Autoregulation of human retinal blood flow. An investigation with laser Doppler velocimetry. Invest Ophthalmol Vis Sci 1986;27:1706-12.
Hayreh SS. Blood flow in the optic nerve head and factors that may influence it. Prog Retin Eye Res 2001;20:595-624.
Deokule S, Weinreb RN. Relationships among systemic blood pressure, intraocular pressure, and open-angle glaucoma. Can J Ophthalmol 2008;43:302-7.
Harris A, Werne A, Cantor LB. Vascular abnormalities in glaucoma: From population-based studies to the clinic? Am J Ophthalmol 2008;145:595-7.
Werne A, Harris A, Moore D, BenZion I, Siesky B. The circadian variations in systemic blood pressure, ocular perfusion pressure, and ocular blood flow: Risk factors for glaucoma? Surv Ophthalmol 2008;53:559-67.
Flammer J, Mozaffarieh M. What is the present pathogenetic concept of glaucomatous optic neuropathy? Surv Ophthalmol 2007;52 Suppl 2:S162-73.
Sommer A. Glaucoma risk factors observed in the Baltimore eye survey. Curr Opin Ophthalmol 1996;7:93-8.
Zheng Y, Wong TY, Mitchell P, Friedman DS, He M, Aung T. Distribution of ocular perfusion pressure and its relationship with open-angle glaucoma: The Singapore Malay eye study. Invest Ophthalmol Vis Sci 2010;51:3399-404.
Leske MC, Connell AM, Wu SY, Hyman LG, Schachat AP. Risk factors for open-angle glaucoma. The Barbados eye study. Arch Ophthalmol 1995;113:918-24.
[Table 1], [Table 2], [Table 3], [Table 4]