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Malawi Medical Journal logoLink to Malawi Medical Journal
. 2021 Mar;33(1):15–20. doi: 10.4314/mmj.v33i1.3

Clinical and sociodemographic characteristics of glaucoma patients at a tertiary referral facility in Zimbabwe

Samuel Kyei 1,2, Bismark Owusu-Afriyie 2,3,5, Selassie Tagoh 2, Michael Agyemang Kwarteng 2,4, Peter Nsiah 3, Solomon Guramatunhu 5
PMCID: PMC8360285  PMID: 34422229

Abstract

Purpose

To evaluate the clinical and socio-demographic profile of patients living with glaucoma and receiving care in a tertiary eye center in Zimbabwe.

Method

A hospital-based retrospective study of clinical records of glaucoma patients from January 2014 to December 2018. The study involved collating demographic information of patients, visual acuities, (VA) intraocular pressure, (IOP), cup-to-disc ratios, (CDRs), average retinal nerve fibers thickness, (RNFL), cup volume, cup-to-disc area, vertical cup-to-disc ratio, (VCDR), rim area, disc area, glaucoma hemifield test, visual field indices and the management of glaucoma.

Results

Nine thousand one hundred and eighty-five (9,185) folders were retrieved. Out of these, 432 (4.7%) qualified for the study and were analyzed. There were 267 (61.8%) males and 165 (38.2%) females. The mean age (± Standard deviation, SD) of the patients was 62.66 ± 15.94 years, (range 10 - 110 years). The means visual acuity (VA): OD =1.30 ± 1.06 Logarithm of the Minimum Angle of Resolution, (logMAR), OS = 1.33 ± 1.06 logMAR; IOP: OD = 29.51 ± 12.89 mmHg, OS: 29.17 ± 12.59 mmHg; CDRs: OD = 0.91 ± 0.14 D, OS = 0.92 ± 0.14 D; and the average RNFL thickness was 72.76 ± 18.26 µm and 71.24 ± 23.17 µm in the right and left eye respectively. The mainstay of treatment was medication only.

Conclusion

There were more males than females receiving glaucoma care at the tertiary level. Glaucoma cases included juveniles but the mean age was mostly the elderly. It was characterized by high IOPs, large CDRs, and thin RNFL suggestive of late presentation.

Keywords: glaucoma, intraocular pressure, cup-to-disc ratio, visual field, retinal nerve fiber

Introduction

It has been estimated that the second most prevalent cause of blindness worldwide is glaucoma and the most prevalent cause of irreversible blindness1,2. The commonest type of glaucoma among people of African descent has been reported to be primary open-angle glaucoma (POAG).3,4 POAG is a progressive chronic optic neuropathy in which intraocular pressure (IOP) and other currently known factors such as heredity, age, gender among others contribute to the damage characterized by acquired atrophy of the optic nerve and loss of retinal ganglion cells5. Globally, researchers have evaluated glaucoma and its classification among various races615.

The effective management of glaucoma depends on early presentation and diagnosis to prevent blindness.16 The absence of pain conceals the need for regular eye examination especially in developing countries where access to health care facilities is costly17. Also, the glaucoma presentation pattern in developing countries is greatly influenced by underequipped eye care facilities, poor distribution of eye care resources, the inadequacy of skilled personnel for the eye industry, poor education and awareness, and poverty17. This pattern of presentation is different from that of the developed world17.

The National Eye Health Strategy in Zimbabwe has reported that there is no research conducted to establish the prevalence of glaucoma18. Glaucoma services in the country remain centralized and districts are not serviced18. The country has three central hospitals with functional eye units, eight in each of the rural provinces and three in Zimbabwe Defense Forces, and all these facilities have inadequate equipment, and medicines18. Also, it has been reported that medications for the management of glaucoma are expensive and the lack of awareness of the disease leads to a late presentation at service delivery points18. Furthermore, there are 16 ophthalmologists with no optometrist in public health institutions to manage glaucoma in Zimbabwe18.

In this study, the clinical presentation of glaucoma, as well as the socio-demographic features of patients, were reviewed. Clinical characteristics of glaucoma may differ among geographical locations and these characteristics can be influenced by the adherence to treatment specific to the geographical locations. Researchers have reported on the low levels of treatment compliance among patients with glaucoma due to inadequate patient education19,20.

Presenting acuities are low because of the late presentation of patients with glaucoma for specialist care which leads to poor prognosis. The poor eye health services coupled with the late presentation and low levels of compliance to glaucoma management in developing countries like Zimbabwe warranted the need for this study18. This study aimed at determining the clinical and sociodemographic characteristics of patients living with glaucoma and receiving care in a tertiary referral center in Zimbabwe.

Methods

Study setting

This study was carried out at the premises of the Greenwood Park Eye Center in Harare. This facility is a private tertiary eye care facility with the full complement of eye care staff and unlike the public facilities have the necessary logistics and equipment for comprehensive glaucoma care, and it is one of the most utilized due to its indigenous ownership. The facility serves both insured (public and private insurance) and non-insured clients.

Study design

This was a hospital-based retrospective study of patients' records in the archives of Greenwood Park Eye Centre. The study involved collating patients' folders at the eye clinic. It sought to evaluate the socio-demographic characteristics and clinical profile of patients receiving glaucoma care in the facility in the past five years, thus, from January 2014 to December 2018.

Sampling technique

The sampling method was non-probability purposive sampling. The sampling method was based on the fact that the study involved all patients with glaucoma at the center for the past five years.

Inclusion and exclusion criteria

The study included Zimbabwean patients who had been diagnosed with glaucoma and receiving care at the Greenwood Park Eye Center from 2014 to 2018 but excluded clients whose diagnoses were inconclusive and non-Zimbabweans. Only clinical data on the first visit were included in the analysis while data on subsequent visits for patients with records of multiple visits were excluded.

Ethical review

Approval was granted by the Research Ethics Committee of Bindura University of Science Education, BUSE, Research, and Postgraduate Center with reference number RBGA/01/19.

Data collection procedure

Data collection involved the use of data extraction sheet to collect a data on the first visits of patients on socio-demographics, visual acuities, intraocular pressure, cup-to-disc ratio, average retinal nerve fibers thickness, cup volume, cup-to-disc area, vertical cup-to-disc, rim area, disc area, glaucoma hemifield test, visual field indices and the management of glaucoma. The ZEISS Cirrus HD-OCT and ZEISS Humphrey Perimeter were the equipment used for the optical coherence tomography and visual field assessment respectively during the study period.

The data on socio-demographics of patients included sex, age, home language, and occupational status. The clinical profile recorded were presenting visual acuities, presenting intraocular pressures, ophthalmoscopically determined vertical cup-to-disc ratios, cup volume, cup-to-disc area, vertical cup-to-disc on OCT, rim area, disc area, glaucoma hemifield test, visual field indices (MD, PSD), and average Retinal Nerve Fiber Layer (RNFL) parameter where available, management modality of glaucoma at the tertiary center.

Data analysis

Data were analyzed using the International Business Machines Corporation's Statistical Package for the Social Sciences, (IBM SPSS) version 21 (SPSS Inc, Chicago, USA). Categorical data were presented as frequencies. Descriptive statistics were computed for all variables after the data have been screened and normality tests were carried out. Thus, the mean±standard deviation was computed for VAs, CDRs, IOPs, RNFL among others recorded upon the first visit.

Results

Nine thousand one hundred and eighty-five (9,185) folders/files were retrieved from the eye center's archives. A total of 432 participants met the inclusion criteria and were included in the study. Their ages ranged from 10 to 110 years (mean age = 62.66; Standard deviation, (SD) ± 15.94 years) giving a good picture of cases across age groups. Of the 432 participants, 267 (61.8%) were males and 165 (38.2%) were females i.e there was a preponderance of males reporting a case of glaucoma than females.

Age, home language, and occupation distribution according to gender

Cases of glaucoma reported to the clinic included juveniles but the mean age suggested most cases of glaucoma were of adult-onset (Table 1) which is typical of POAG. The commonest home language among the patients with glaucoma referred to the center was Shona (88.19%), followed by Ndebele (7.18). Though the majority of the patients were employed (38.4%), there was an almost equal percentage of unemployed (34.4%) reporting cases of glaucoma (Table 1).

Table 1.

Age, home language, and occupation distribution according to sex

Demographics Sex of Patient Total (%)

Male Female
Age group Children (0 - 17) 2 1 3 (0.69)
Youth (18 - 35) 15 9 24 (5.6)
Adults (36 - 59) 91 40 131 (30.3)
Elderly (> 60) 159 115 274 (63.4)

Home language Shona 239 142 381 (88.19)
Ndebele 16 15 31 (7.18)
English 11 6 17 (3.94)
Other Languages 1 2 3 (0.69)

Occupation Employed 111 55 166 (38.4)
Unemployed 66 74 140 (32.4)
Retired 61 24 85 (19.7)
Self Employed 29 12 41 (9.5)

Total 267 165 432 (100)

Prevalence and types of Glaucoma

The prevalence of glaucoma at the eye center for the five-years was 432 out of 9185 representing 4.7% (95% Confidence interval, (CI); 4.3–5.1) of the cases reported to the facility. The 432 cases were POAG, 35(8.1%) had unilateral glaucoma and the remaining 397(91.9%) had bilateral glaucoma (Table 2). The majority (90.5%) of cases were of adult-onset followed by the juvenile (7.9%).

Table 2.

Types of Glaucoma according to sex

Types of glaucoma Sex Total (%)


Males Females
Unilateral 27 8 35 (8.1)
Bilateral 239 158 397 (91.9)
Infantile 4 3 7 (1.6)
Juvenile 21 13 34 (7.9)
Adult 242 149 391 (90.5)

Ocular parameters such as VA was routinely taken for all patients in each eye. However, IOP, CDRs, and RNFL among others were not routinely assessed for all patients. The consideration of VA measurement as a routine could have been informed by clinic-legal issues in eye care (Table 3).

Table 3.

Clinical profile of participants

Variables N Minimum Maximum Mean Std. D
VA OD (logMAR) 432 -.10 3.00 1.30 1.06
VA OS (logMAR) 432 -.30 3.00 1.33 1.06

IOP OD (mmHg) 402 8.00 80.00 29.51 12.89
IOP OS (mmHg) 386 8.00 80.00 29.17 12.59

Cup-Disc Ratio OD 313 .10 1.00 .91 .14
Cup-Disc Ratio OS 313 .40 1.00 .92 .14

Average RNFL – OD (µm) 96 30.00 115.00 72.76 18.26
Average RNFL – OS (µm) 93 .00 176.00 71.24 23.17

Cup Volume OD 99 .00 2.63 .59 .45
Cup Volume OS 96 .017 1.77 .65 .40

Cup-Disc Area Ratio – OD 99 .01 .93 .74 .16
Cup-Disc Area Ratio – OS 96 .33 .93 .77 .13

Vertical Cup-Disc Ratio - OD 99 .08 .95 .72 .16
Vertical Cup-Disc Ratio - OS 96 .07 1.63 .76 .17

Rim Area OD 99 .20 5.03 .97 .61
Rim Area OD 96 .09 8.82 .90 .93

Disc Area OD 99 1.19 5.01 2.42 .69
Disc Area OS 96 1.34 7.56 2.39 .78

Visual Field Index OD 43 12.00 100.00 77.98 31.04
Visual Field Index OS 42 2.00 100.00 72.26 34.37

Mean deviation OD (dB) 54 -32.71 .96 -9.70 10.34
Mean deviation OS (dB) 52 -32.97 18.88 -11.73 12.06

Pattern Std D – OD (dB) 54 -2.85 15.13 4.76 3.58
Pattern Std D – OS (dB) 51 1.50 15.76 5.21 3.42

The mainstay of treatment was the use of medications only (315, 41.4%) as shown in Table 4. Of these 315 who were managed with medications only (monotherapy), prostaglandin analogues accounted for 151 (47.9%) followed by beta-blockers 66 (21.0%) and alpha-2 adrenergic agonists 9 (2.9%). For combination therapy, prostaglandin analogues and beta-blockers constituted 57 (18.1%), and beta-blockers and alpha-2 adrenergic agonists 32 (10.1%).

Table 4.

Management of glaucoma according to sex

How the Disease Was Managed Sex of Patient Total (%)

Male Female
Drugs/Medication Only 107 72 179 (41.4)
Trabeculectomy and Medication 78 40 118 (27.3)
Trabeculectomy (Surgery) Only 35 28 63 (14.6)
No Intervention on First Visit 26 13 39 (9.0)
Trabeculectomy, Medication and Counselling 6 7 13 (3.0)
Counselling Only 9 2 11 (2.5)
Medication and Counselling 3 2 5 (1.3)
Trabeculectomy and Counselling 3 1 4 (0.9)

Total 267 165 432 (100)

Discussion

This study is the first to provide information on the socio-demographic characteristics and clinical profile of persons living with glaucoma in Zimbabwe. The study participants were mainly elderly with an average age of 63 years. Studies in Africa have reported a mean age of 50 years and older for patients living with glaucoma2126. This suggests an excessive burden of glaucoma among the aged consistent with the literature2126. It has been reported that age is a risk factor for glaucoma especially primary open-angle glaucoma22,23. There were more males than females in this study as the male to female ratio was 1.62:1 for both juvenile-onset and adult-onset, which is similar to the findings in hospital-based studies21,23,26 in sub-Saharan Africa which reported more males than females. The reason for the higher ratio of males to females in this study may be due to the poor socio-economic status of women in Africa. This serves as a barrier to access eye care among women21,23,26. This can be confirmed from the occupations of the participants in this study which indicate that 44.9% of the females (165) were unemployed compared to 24.7% of the males (267) as shown in Table 1. Also, the National Health Insurance Scheme (NHIS) in Zimbabwe covers only cataract management among the priority eye diseases which makes management of glaucoma thrive on an out-of-pocket basis18. This admittedly makes comprehensive glaucoma care expensive and a great drain on the purse of persons living with glaucoma.

In this study, the prevalence of glaucoma in the tertiary setting was 4.7% (CI, 4.3–5.1) which is comparable to similar hospital-based studies in Africa which ranged from 4.0% – 9.4%.2729 The reported prevalence in sub-Saharan Africa in 2013 is pegged at an average of 4.0% for a given population30. The pattern of glaucoma in this study sample was evaluated through the clinical presentation as indicated on the patient's record. The mean presenting VA in this study corresponded to severe low vision according to the World Health Organization, (WHO) classification31 suggesting late presentation of cases for advanced or specialist care32.

The cup-to-disc ratio is a prominent sign of glaucoma among patients. The mean CDR as determined upon ophthalmoscopy in this study was very large (OD: 0.91 ± 0.14, OS: 0.92 ± 0.14). With the advancement in technology for the examination of the retina and optic nerve head, sophisticated techniques such as optical coherence tomography, (OCT), confocal scanning laser ophthalmoscopy, and scanning laser polarimetry are in place at well-equipped facilities to provide quantitative measurements3335. The OCT is useful in the objective assessment of the vertical cup-to-disc ratio, (VCDR) but in this study, less than a quarter of the study participants had OCT examination records for VCDR recorded (Table 3). The poor patronage of the OCT examination can be attributed to the poor socio-economic status (a significant proportion were unemployed) of the participants since these services are not affordable to many.

The applanation tonometer was the instrument used at the tertiary eye center to measure intraocular pressure (IOP) since it is the gold standard for IOP measurement36. An increase in intraocular pressure is a risk factor for glaucoma. A mean IOP of 29.51 ± 12.89 mmHg and 29.17 ± 12.59 mmHg in the right and left eye respectively were observed in this study which is comparable with findings of other studies in Africa which reported mean IOPs of 33.9mmHg ± 12.7 mmHg for right eyes and 33.5mmHg ± 12.0 mmHg for left eyes.21,22 The high IOP in this study may have resulted from difficulty in controlling the IOP at the primary and secondary level of eye care in the country which led to a late presentation for the tertiary glaucoma care.

The damage caused by glaucoma to the RNFL can be quantified through sensitivity tests such as OCT among patients. The average RNFL was 72.76 ± 18.26 µm and 71.24 ± 23.17 µm in the right and left eye respectively which is consistent with a study by O'Leary et al.37 who reported a mean RNFL of 69.1 µm among glaucomatous eyes. Across the globe, similar studies have been conducted to determine the mean RNFL in glaucomatous eyes. A study by Hoh et al.38 reported a thinner mean RNFL of 56.9 ± 21.5 µm in glaucomatous eyes, Khanal et al.39 reported 85.43 ± 9.79 µm in eyes with Normal-Tension Glaucoma and 64.30 ± 14.45 µm in eyes with POAG, Subbiah et al.40 also reported a mean RNFL thickness of 52.95 ± 31.10 µm in glaucomatous eyes and a recent study in Ghana41 reported a mean RNFL of 85.84 ± 13.11 µm in glaucoma. The reported studies above had a reduction in RNFL compared to the average among normal eyes with RNFL ranging from 93.9 ± 1.2 µm - 110 ± 7.4 µm3743. This reduction in RNFL was due to the progressive damage and loss of retinal nerve fibers a characteristic of glaucoma.

An integral part of glaucoma evaluation in terms of vision loss is the visual field test. In this study, the mean deviation and pattern standard deviation were -9.70 ± 4.76 decibels, (dB) and -11.73 ± 5.21 dB in the right and left eye respectively which is suggestive of moderate to severe stage glaucomatous visual field loss.

In the management of glaucoma, treatment modality is of great importance due to the progressive loss of vision which will eventually affect the quality of life of patients. Whether to commence treatment or not and which modality to adopt in a case of glaucoma is a complex decision that involves consideration of many factors, including visual, physical, medical, psychological, and social circumstances. The Ministry of Health in Zimbabwe has provided standard diagnosis and treatment guidelines for institutions with glaucoma specialist services however cost remains a major setback to its full implementation partly due to lack of care support for persons with glaucoma in the form of insurance package. 18 The mainstay of treatment among the study sample was the sole use of topical anti-glaucoma medications (Table 4) which is consistent with other studies36. The choice of treatment of glaucoma management option is informed by the target IOP intended, ocular structures or systemic adverse effects, and quality of life of the patient36. Other considerations may include cost and convenience. The National eye health strategy reported that though medicines for the management of glaucoma are available they are erratic and inadequate in Zimbabwe18. Patients' education on the disease process and, the rationale and goals of therapy, are paramount to a patient's adherence and meaningful participation in the development and achievement of an optimal treatment plan.

The limitation of this study was that hospital-based study results cannot be fully generalized for the entire population. Data is biased towards patients who are receiving care. It is recommended that a population-based study be done in the future.

The current study provides information on the socio-demographic and clinical profile of persons living with glaucoma and receiving tertiary care in Zimbabwe. There were more males than females receiving glaucoma care at the tertiary level. Glaucoma cases included juveniles but were mostly reported by the elderly. The glaucoma cases were characterized by high IOPs, large CDRs, and thin RNFL. An early presentation with moderate CDRs to the tertiary eye centers can help salvage some functional vision among Zimbabweans.

References

  • 1.Thylefors B, Négrel AD. The global impact of glaucoma. Bull World Health Organ. 1994;72(3):323–326. [PMC free article] [PubMed] [Google Scholar]
  • 2.Quigley HA. The number of persons with glaucoma worldwide. Br J Ophthalmol. 1996;80(5):389–393. doi: 10.1136/bjo.80.5.389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Buhrmann RR, Quigley HA, Barron Y, West SK, Oliva MS, Mmbaga BBO. Prevalence of glaucoma in a rural East African population. Invest Ophthalmol Vis Sci. 2000;41(1):40–48. [PubMed] [Google Scholar]
  • Cook C, Foster P. Epidemiology of glaucoma: what's new? Can J Ophthalmol. 2012;47(3):223–226. doi: 10.1016/j.jcjo.2012.02.003. [DOI] [PubMed] [Google Scholar]
  • 4.Kahn HA, Milton RC. Alternative definitions of open-angle glaucoma: effect on prevalence and associations in the Framingham Eye Study. Arch Ophthalmol. 1980;98(12):2172–2177. doi: 10.1001/archopht.1980.01020041024003. [DOI] [PubMed] [Google Scholar]
  • 5.Hollows FC, Graham PA. Intra-ocular pressure, glaucoma, and glaucoma suspects in a defined population. Br J Ophthalmol. 1966;50(10):570–586. doi: 10.1136/bjo.50.10.570. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Bengtsson B. The prevalence of glaucoma. Br J Ophthalmol. 1981;65(1):46–49. doi: 10.1136/bjo.65.1.46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Coffey M, Reidy A, Wormald R, Xian W X, Wright L, Courtney P. Prevalence of glaucoma in the west of Ireland. Br J Ophthalmol. 1993;77(1):17–21. doi: 10.1136/bjo.77.1.17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Kahn HA, Milton RC. Alternative definitions of open-angle glaucoma: effect on prevalence and associations in the Framingham Eye Study. Arch Ophthalmol. 1980;98(12):2172–2177. doi: 10.1001/archopht.1980.01020041024003. [DOI] [PubMed] [Google Scholar]
  • 9.Tielsch JM, Sommer A, Katz J, Royall RM, Quigley HA, Javitt J. Racial variations in the prevalence of primary open-angle Glaucoma: The Baltimore Eye Survey. JAMA. 1991;266(3):369–374. [PubMed] [Google Scholar]
  • 10.Dielemans I, Vingerling JR, Wolfs RCW, Hofman A, Grobbee DE, de Jong PTV. The prevalence of primary open-angle glaucoma in a population-based study in the Netherlands. Ophthalmology. 1994;101(11):1851–1855. doi: 10.1016/s0161-6420(94)31090-6. [DOI] [PubMed] [Google Scholar]
  • 11.Klein BEK, Klein R, Sponsel WE, Franke T, Cantor LB, Martone J, et al. Prevalence of glaucoma: The Beaver Dam Eye Study. Ophthalmology. 1992;99(10):1499–1504. doi: 10.1016/s0161-6420(92)31774-9. [DOI] [PubMed] [Google Scholar]
  • 12.Mitchell P, Smith W, Attebo K, Healey PR. Prevalence of open angle glaucoma in Australia: The Blue Mountains Eye Study. Ophthalmology. 1996;103(10):1661–1669. doi: 10.1016/s0161-6420(96)30449-1. [DOI] [PubMed] [Google Scholar]
  • 13.Bonomi L, Marchini G, Marraffa M, Bernardi P, Franco ID, Perfetti S, et al. Prevalence of glaucoma and intraocular pressure distribution in a defined population: The Egna-Neumarkt Study. Ophthalmology. 1998;105(2):209–215. doi: 10.1016/s0161-6420(98)92665-3. [DOI] [PubMed] [Google Scholar]
  • 14.Wensor MD, McCarty CA, Stanislavsky YL, Livingston PM, Taylor HR. The prevalence of glaucoma in the Melbourne Visual Impairment Project. Ophthalmology. 1998;1054(4):733–739. doi: 10.1016/S0161-6420(98)94031-3. [DOI] [PubMed] [Google Scholar]
  • 15.Abdull MM, Gilbert CC, Evans J. Primary open angle glaucoma in northern Nigeria: stage at presentation and acceptance of treatment. BMC Ophthalmol. 2015;15:111. doi: 10.1186/s12886-015-0097-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Abdu L. Epidemiological properties of primary open-angle glaucoma in Nigeria. J Ophthalmol. 2013;2013:402739. doi: 10.1155/2013/402739. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Zimbabwe National Eye Health Strategy (2014 – 2018) Glaucoma: 3.2.4: 26. Available from: https://zdhr.uz.ac.zw/xmlui/bitstream/handle/123456789/1384/Eye%20Health%20Strategy.pdf;jsessionid=A 471B6D069F94AEFE2D67856942180C9?sequence=1.
  • 18.Mehari T, Giorgis AT, Shibeshi W. Level of adherence to ocular hypotensive agents and its determinant factors among glaucoma patients in Menelik II Referral Hospital, Ethiopia. BMC Ophthalmol. 2016;16:131. doi: 10.1186/s12886-016-0316-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Santos MA, Ayena DK, Kuaovi KR, Vonor K, Djagnikpo A, Balo KP. Compliance with medical treatment in primary open-angle glaucoma in Lome. J Fr Ophtalmol. 2016;39:459–466. doi: 10.1016/j.jfo.2015.10.013. [DOI] [PubMed] [Google Scholar]
  • 20.Gyasi M, Amoako W, Adjuik M. Presentation patterns of primary open angle (5) glaucomas in north eastern Ghana. Ghana Med J. 2010;44(1):25–30. doi: 10.4314/gmj.v44i1.68853. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Gyasi ME, Francis AW, Chen Y, Harrison RS, Kodjo AR. Presentation of glaucoma in the Greater Accra metropolitan area of Ghana. Ghana Med J. 2014;48(3):143–147. doi: 10.4314/gmj.v48i3.4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Omoti AE, Osahon AI, Waziri-Erameh MJ. Pattern of presentation of primary open-angle glaucoma in Benin City, Nigeria. Trop Doct. 2006;36(2):97–100. doi: 10.1258/004947506776593323. [DOI] [PubMed] [Google Scholar]
  • 23.Eballé AO, Mvogo CE, Koki G, Mounè N, Teutu C, Ellong A, et al. Prevalence and causes of blindness at a tertiary hospital in Douala, Cameroon. Clin Ophthalmol. 2011;5:1325–1331. doi: 10.2147/OPTH.S23064. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Ellong A, Mvogo CE, Bella-Hiag AL, Mouney EN, Ngosso A, Litumbe CN. Prevalence of glaucomas in a Black Cameroonian population. Sante. 2006;16(2):83–88. [PubMed] [Google Scholar]
  • 25.Melka F, Alemu B. The pattern of glaucoma in Menelik II Hospital Addis Ababa, Ethiopia. Ethiop Med J. 2006;44(2):159–165. [PubMed] [Google Scholar]
  • 26.Usifoh SF, Udezi WA, Omage JO. Prevalence of glaucoma in a Nigerian hospital. J Pharm Biores. 2014;11(1):22–28. [Google Scholar]
  • 27.Enock ME, Omoti AE, Momoh RO. Glaucoma in a suburban tertiary care hospital in Nigeria. J Ophthalmic Vis Res. 2010;5(2):87–91. [PMC free article] [PubMed] [Google Scholar]
  • 28.Otabil KB, Tenkorang SB, Mac AL, Otabil EA. Prevalence of Glaucoma in an eye clinic in Ghana. Rus Open Med J. 2013;2(3):0310. [Google Scholar]
  • 29.Kyari F, Abdull MM, Bastawrous A, Gilbert CE, Faal H. Epidemiology of glaucoma in sub-Saharan Africa: prevalence, incidence, and risk factors. Middle East Afr J Ophthalmol. 2013;20(2):111–125. doi: 10.4103/0974-9233.110605. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.WHO Programme for the Prevention of Blindness. Management of low vision in children: report of a WHO consultation, Bangkok, 23–24 July 1992. World Health Organization; 1993. Available from https://apps.who.int/iris/handle/10665/61105. [Google Scholar]
  • 31.Lawan A. Pattern of presentation and outcome of surgical management of primary open angle glaucoma in Kano, Northern Nigeria. Ann Afr Med. 2007;6(4):180–185. doi: 10.4103/1596-3519.55700. [DOI] [PubMed] [Google Scholar]
  • 32.Caprioli J, Prum B, Zeyen T. Comparison of methods to evaluate the optic nerve head and nerve fiber layer for glaucomatous damage. Am J Ophthalmol. 1996;121(6):659–667. doi: 10.1016/s0002-9394(14)70632-4. [DOI] [PubMed] [Google Scholar]
  • 33.Kamal D, Hitchings R. Normal tension glaucoma--a practical approach. Br J Ophthalmol. 1998;82(7):835–840. doi: 10.1136/bjo.82.7.835. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Kanski JJ. Clinical Ophthalmology. A systematic approach. 6th ed. Edinburgh: Elsevier Butterworth-Heinemann; 2007. [Google Scholar]
  • 35.Sommer A, Katz J, Quigley HA, Miller NR, Robin AL, Richter RC, et al. Clinically detectable nerve fiber atrophy precedes the onset of glaucomatous field loss. Arch Ophthalmol. 1991;109(1):77–83. doi: 10.1001/archopht.1991.01080010079037. [DOI] [PubMed] [Google Scholar]
  • 36.O'Leary N, Artes PH, Hutchison DM, Nicolela MT, Chauhan BC. Rates of retinal nerve fibre layer thickness change in glaucoma patients and control subjects. Eye. 2012;26:1554–1562. doi: 10.1038/eye.2012.202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Hoh ST, Greenfield DS, Mistlberger A, Liebmann JM, Ishikawa H, Ritch R. Optical coherence tomography and scanning laser polarimetry in normal, ocular hypertensive, and glaucomatous eyes. Am J Ophthalmol. 2000;129(2):129–135. doi: 10.1016/s0002-9394(99)00294-9. [DOI] [PubMed] [Google Scholar]
  • 38.Khanal S, Thapa M, Racette L, Johnson R, Davey PG, Joshi MR, et al. Retinal nerve fiber layer thickness in glaucomatous Nepalese eyes and its relation with visual field sensitivity. J Optom. 2014;7(4):217–224. doi: 10.1016/j.optom.2014.05.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Subbiah S, Sankarnanarayanan S, Thomas PA, Nelson Jesudasan CA. Comparative evaluation of optical coherence tomography in glaucomatous, ocular hypertensive and normal eyes. Indian J Ophthalmol. 2007;55(4):283–287. doi: 10.4103/0301-4738.33041. [DOI] [PubMed] [Google Scholar]
  • 40.Ocansey S, Abu EK, Owusu-Ansah A, Mensah S, Oduro-Boateng Abalo Kojo RA, et al. Normative values of retinal nerve fibre layer thickness and optic nerve head parameters and their association with visual function in an African population. J Ophthalmol. 2020:7150673. doi: 10.1155/2020/7150673. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Mashige KP, Oduntan OA. Retinal nerve fibre layer thickness values and their associations with ocular and systemic parameters in Black South Africans. Afr Health Sci. 2017;16(4):1188–1194. doi: 10.4314/ahs.v16i4.39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Knight ORJ, Girkin CA, Budenz DL, Durbin MK, Feuer WJ. Effect of race, age, and axial length on optic nerve head parameters and retinal nerve fiber layer thickness measured by Cirrus HD-OCT. Arch Ophthalmol. 2012;130(3):312–318. doi: 10.1001/archopthalmol.2011.1576. [DOI] [PMC free article] [PubMed] [Google Scholar]

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