Abstract
The purpose of this study was to evaluate the epidemiological and clinical profile of patients living with glaucoma and receiving care in a tertiary eye center in Ghana. This was a hospital-based retrospective study of clinical records of glaucoma patients from January 2010 to December 2019. The study involved collating demographic information of patients, clinical presentation, and the management of glaucoma. A total of nineteen thousand (19,000) charts were retrieved from the eye center’s archives. Out of these, 660 (3.5%) records of patients qualified for the study and were analyzed. There were 398 (60.3%) males and 262 (39.7%) females. Their ages ranged from 9 to 86 years (mean age = 47.30; SD ± 16.86 years). The averages of ocular parameters of 1,320 eyes (660 patients) were visual acuity = 0.26 ± 0.55 logMAR; intraocular pressure: 17.31 ± 6.11 mmHg; cup-to-disc ratios: 0.67 ± 0.17 D; and the average retinal nerve fibers thickness was 95.03 ± 21.74 μm. The mainstay of treatment was the sole use of medication. Males were the major group receiving glaucoma care at the tertiary level. Glaucoma cases included juveniles but the mean age suggests most were of adult-onset. Socio-demographic characteristics affected the diagnosis and management of glaucoma among patients receiving care at a referral center. Public health, stakeholders, and policymakers’ interventions can help identify individuals with glaucoma.
Introduction
Glaucoma is the leading cause of irreversible blindness but ranked second to cataract in the global causes of blindness [1, 2]. Glaucoma is an optic neuropathy associated with characteristic structural damage to the optic nerve and visual dysfunction that may be caused by various pathological processes and in which intraocular pressure, (IOP) is a key modifiable factor [3]. It is usually classified based on etiology, the anatomy of anterior chamber angle, time of onset, and pathogenesis [4, 5].
Primary open-angle glaucoma (POAG) is the commonest type of glaucoma among people of African descent [6–8]. The incidence of POAG is associated with age [6, 9] and people of African descent are at a higher risk of POAG than non-Africans [10]. The economic cost associated with a visual impairment from glaucoma is considerable as it affects the productivity of the individual and the nation as a whole. Glaucoma management remains a challenge to eye health services as the majority of the population are unaware of their status.
In practice, comprehensive glaucoma care in Ghana happens at the tertiary referral eye care facilities, as most detected cases from primary and secondary care facilities are referred for expert care. The prevalence of glaucoma cases reporting to a referral facility can therefore serve as a fair benchmark for evaluating the eye care-seeking behavior and the coverage of care for glaucoma. Available studies [11–18] in Ghana have amply dealt with the prevalence, risk factors, and to some extent the genetics of glaucoma but there remains a paucity of information on the epidemiology and clinical profile of patients living with glaucoma and receiving care in health care facilities. There is a recent study [19] on the epidemiological data among patients with Glaucoma and receiving care in a referral facility in the Ashanti region. This 5-year retrospective study involving 311 out of 1100 records suggests low patronage of the facility or missing records which tends to affect the data presented [19].
Moreover, knowing the epidemiological and clinical profile of glaucoma patients cannot be underestimated since it helps in health planning, monitoring, and resource allocation. It is against this background that this study aimed to determine the epidemiological characteristics and clinical presentation of glaucoma among patients visiting a referral facility in Ghana to draw lessons for public health interventions.
Materials and methods
Study setting
This study was carried out at the premises of the Bishop Ackon Memorial Christian Eye Center, Cape Coast. The center is the most utilized Christian health eye facility in the Cape Coast metropolis of Ghana.
Study design
This was a clinic-based retrospective study of patients diagnosed with glaucoma and receiving care at the Christian Eye Center from January 2010- December 2019.
Sampling technique
The sampling method was non-probability convenience sampling. The sampling method was based on the fact that the study involved all patients with glaucoma visiting the center during the study period.
Inclusion and exclusion criteria
The study included all patients with records of diagnosed glaucoma and receiving care at the Christian Eye Center including those who had undergone laser surgery, those on anti-glaucoma medications, or those who have undergone filtration surgery. The diagnosis of glaucoma was based on the presence of a glaucomatous optic nerve head changes i.e. diffuse or localized rim thinning and disc hemorrhage, bayoneting, notch, baring, or vertical cup-to-disc ratio of 0.5 or difference in cup disc ratio of more than 0.2 in the two eyes, in the absence of significant difference in disc size, and visual field defects that matched with the RNFL defects, optic nerve head abnormalities and gonioscopically open or close angles. On the other hand, patients with ocular hypertension but showing no changes in optic nerve head or visual function abnormalities were excluded from the study. All patient records with SITA standard 24–2 perimetry (Carl Zeiss Meditec Inc., Dublin, CA, USA) within the defined reliable visual field test of fewer than 20% of fixation losses, false positive or false negatives were included. The OCT results of the RNFL were obtained using the RTVue system Version #A6, 8,0, 27 (Optovue, Inc., Fremont, CA, USA) with signal strength intensity of at least 50%. Patients’ records with a history of ocular comorbidities such as macular degeneration, retinitis pigmentosa, hypertensive retinopathy, diabetic retinopathy, refractive error of ± 4 dioptres (D) sphere and/or astigmatism of 3D, and significant cataract that affect vision were excluded as they could affect the validity of the ocular imaging reports.
Ethical consideration
The study adhered to the tenets of the Declaration of Helsinki and was approved by the Institutional Review Board of the University of Cape Coast (UCCIRB/CHAS/2019/187). Permission to access the facility and patient records was obtained from the management.
Data collection procedure
Data collection involved the use of a data extraction sheet to extract information on socio-demographics, and clinical profile of patients. The data on socio-demographics of patients included sex, age, ethnicity, religion, and occupation. The clinical profile recorded included presenting visual acuity, IOP, cup-to-disc ratios (CDR), cup volume, cup-to-disc area, vertical cup-to-disc, rim area, disc area, glaucoma hemifield test, visual field indices, and average retinal nerve fiber layer (RNFL) parameter, and management modality to glaucoma.
Statistical analysis
Data were analyzed using the 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 the normality test carried out.
Results and discussion
Nineteen thousand (19000) charts were retrieved from the eye center’s archives of which 660 were patients with glaucoma. The glaucoma patients ages ranged from 9 to 86 years (mean age = 47.30; SD ± 16.86 years). All the 660 participants presented with bilateral cases of glaucoma (1320 eyes), 398 (60.3%) were males and 262 (39.7%) were females. Among the patients, 310 (47%) resided in an urban area, 50.9% were Akans, 89.5% were Christians followed by Islam (9.9%) (Table 1).
Table 1. Distribution of socio-demographics according to sex.
| Variables | Sex of patients | Total (%) | ||
|---|---|---|---|---|
| Male | Female | |||
| Residence | Rural | 147 | 97 | 244 (37.0) |
| Peri-urban | 60 | 46 | 206 (16.1) | |
| Urban | 191 | 119 | 310(47.0) | |
| Ethnicity | Akan | 201 | 135 | 336 (50.9) |
| Guan | 81 | 51 | 131(19.8) | |
| Ewe | 57 | 40 | 97(14.7) | |
| Ga-Adangbe | 59 | 37 | 96 (14.5) | |
| Religion | Christianity | 352 | 239 | 591 (89.5) |
| Islam | 42 | 23 | 65 (9.9) | |
| Traditional | 2 | - | 2 (0.3) | |
| Atheist | - | 2 | 2 (0.3) | |
| Occupation | Self-employed | 147 | 86 | 233 (35.3) |
| Civil servant | 123 | 85 | 208 (31.5) | |
| Retired | 63 | 39 | 102 (15.5) | |
| Students | 35 | 27 | 62 (9.4) | |
| Unemployed | 14 | 21 | 35 (5.3) | |
| Farming | 13 | 4 | 17 (2.6) | |
| Military | - | 3 | 3 (0.5) | |
| Marital status | Married | 303 | 189 | 492 (74.5) |
| Single | 78 | 61 | 139 (21.1) | |
| Divorced | 7 | 9 | 16 (2.4) | |
| Widowed | 10 | 3 | 13 (2.0) | |
Prevalence of glaucoma
The prevalence of glaucoma at the tertiary eye center during the ten-years was 660 out of 19000 representing 3.5% (95% CI; 3.2–3.7) of the total cases reported to the eye care facility. The common type of glaucoma was the primary open-angle (Table 2). There were no ethnic peculiarities for CDR (P>0.05).
Table 2. Distribution of glaucoma according to sex.
| Type of glaucoma | Sex | Total (OD, OS) | |
|---|---|---|---|
| Female (OD, OS) | Male (RE, LE) | ||
| Primary open-angle | 180,015 | 342,343 | 517,558 |
| Normal-tension | 45, 47 | 56, 55 | 101, 102 |
| Total | 262 | 398 | 660 |
OD: oculus dexter, OS: oculus sinister
The clinical profiles such as IOP, cup-to-disc ratios, retinal nerve fiber layers among others were computed (Table 3, Fig 1).
Table 3. Presentation of average clinical indices of glaucoma.
| Clinical index | Sex | Levene’s Test for Equality of Variances | ||
|---|---|---|---|---|
| Female (n = 262) | Male (n = 398) | F | Sig. | |
| VA OD (logMAR) | 0.23 ± 0.52 | 0.30 ± 0.61 | 2.78 | 0.096 |
| VA OS (logMAR) | 0.24 ± 0.55 | 0.28 ± 0.60 | 0.71 | 0.399 |
| IOP OD (mmHg) | 16.56 ± 5.17 | 17.80 ± 6.26 | 11.51 | 0.001* |
| IOP OS (mmHg) | 16.62 ± 5.40 | 18.12 ± 7.00 | 11.49 | 0.001* |
| Cup-Disc Ratio OD | 0.64 ± 0.16 | 0.69 ± 0.18 | 3.20 | 0.074 |
| Cup-Disc Ratio OS | 0.64 ± 0.16 | 0.70 ± 0.16 | 0.02 | 0.877 |
| Average RNFL (μm) OD | 101.21 ± 18.27 | 91.80 ± 23.4 | 24.98 | 0.000* |
| Average RNFL (μm) OS | 99.26 ± 19.67 | 91.50 ± 22.17 | 18.00 | 0.000* |
| Superior RNFL (μm) OD | 101.09 ± 20.78 | 91.14 ± 22.62 | 12.28 | 0.000* |
| Superior RNFL (μm) OS | 99.50 ± 18.40 | 92.38 ± 22.40 | 20.40 | 0.000* |
| Inferior RNFL (μm) OD | 101.63 ± 19.05 | 92.35 ± 25.04 | 24.40 | 0.000* |
| Inferior RNFL (μm) OS | 98.83 ± 21.17 | 90.86 ± 23.43 | 11.70 | 0.001* |
| Cup Volume OD | 0.47 ± 0.35 | 0.53 ± 0.40 | 3.76 | 0.053 |
| Cup Volume OS | 0.50 ± 0.38 | 0.59 ± 0.42 | 0.88 | 0.348 |
| Cup-Disc Area Ratio OD | 0.55 ± 0.30 | 0.64 ± 0.52 | 3.09 | 0.079 |
| Cup-Disc Area Ratio OS | 0.56 ± 0.24 | 0.60 ± 0.20 | 0.00 | 0.989 |
| Vertical Cup-Disc Ratio OD | 0.69 ± 0.16 | 0.75 ± 0.17 | 2.07 | 0.151 |
| Vertical Cup-Disc Ratio OS | 0.71 ± 1.6 | 0.75 ± 0.18 | 0.49 | 0.484 |
| Rim Area OD | 1.19 ± 0.48 | 1.01 ± 0.50 | 0.18 | 0.672 |
| Rim Area OS | 1.22 ± 0.51 | 1.05 ± 0.54 | 2.38 | 0.124 |
| Disc Area OD | 2.50 ± 0.63 | 2.40 ± 0.69 | 0.41 | 0.521 |
| Disc Area OS | 2.50 ± 0.70 | 2.43 ± 0.64 | 2.26 | 0.133 |
| Mean deviation (dB) OD | -6.65 ± 7.46 | -9.55 ± 9.55 | 31.98 | 0.000* |
| Mean deviation (dB) OS | -6.92 ± 7.99 | -9.79 ± 9.78 | 26.75 | 0.000* |
| Pattern Std D—OD (dB) OD | 3.47 ± 2.62 | 4.31 ± 3.35 | 8.08 | 0.005* |
| Pattern Std D—OD (dB) OS | 3.49 ± 3.21 | 4.21 ± 2.93 | 3.28 | 0.071 |
OD: oculus dexter, OS: oculus sinister, VA: Visual acuity, IOP: Intraocular pressure, RNFL: Retinal nerve fiber layer, Std D: Standard deviation.
*There was a significant difference between the variables among gender.
Fig 1. A histogram of the distributions of baseline age (A), baseline MD (B), for a cohort of 1,320 patients from Ghana.
The glaucoma hemifield test results were computed in Tables 4 and 5.
Table 4. Glaucoma hemifield test according to sex.
| Glaucoma Hemifield Test | Sex of Patient | Total (OD, OS) | |
|---|---|---|---|
| Male (OD, OS) | Female (OD, OS) | ||
| Outside Normal Limit | 186, 188 | 78, 76 | 264, 264 |
| Within Normal Limit | 144, 138 | 118, 113 | 262, 251 |
| Borderline | 38, 43 | 26, 31 | 64, 74 |
| General Reduction in Sensitivity | 30, 29 | 40, 42 | 70, 71 |
| Total | 398 | 262 | 660 |
OD: oculus dexter, OS: oculus sinister
Table 5. Distribution of treatment according to sex.
| Intervention | Sex | Total | |
|---|---|---|---|
| Female | Male | ||
| Beta-blocker | 88 | 92 | 180 |
| Alpha-2 agonists | 73 | 133 | 206 |
| Carbonic anhydrase inhibitors | 6 | 14 | 20 |
| Prostaglandin-analogue | 77 | 127 | 204 |
| Surgical (Trabeculectomy)+prostaglandin-analogue | 8 | 12 | 20 |
| Surgical (Trabeculectomy)+Beta-blocker | 10 | 20 | 30 |
| Total | 262 | 398 | 660 |
The mainstay of treatment was through medication only which accounted for 92.4% of the study population as shown in Table 5.
This ten-year clinic-based prevalence study indicated that fewer persons with glaucoma are receiving care relative to the reported prevalence in the population of Ghana [16]. This points to the critical need for a thorough glaucoma screening campaign to protect the eyesight of the many Ghanaians who are either unaware of their glaucoma status or not receiving care.
The background of the glaucoma patients suggests that most of them belong to formal religious groups. This information is useful as it provides a clue to bridging the unawareness gap by using these religious leaders as agents for educational campaigns. Studies have proven that opinion leaders remain a respected source of information necessary to influence decision making and behavioral change [20–22]. One major challenge is how to reach out to persons with glaucoma, to realize the much-needed early diagnosis critical to the prevention of vision loss associated with the disease.
There is reasonable support to integrate glaucoma screening and care into workplace health policies and protocols since most of the affected persons were in formal employment (Table 1). This strategy is necessary, as most people with glaucoma are unaware they have the disease [23–27]. The mean age of glaucoma cases was 47.30 years (range 9 to 86) and a loss of sight to glaucoma will have implications for productivity, quality of life, and family cohesion. Several studies have alluded to sex- and gender-based disparities in diseases in which eye diseases are no exception. There is renewed advocacy for sex-and gender-based studies to highlight the subtle disparities that are associated with a prevalent disease like glaucoma to inform a comprehensive planning and the objective prospect of case-finding approaches [28, 29]. Previous studies have reported the preponderance of glaucoma among males compared to their female counterparts [16]. In this study, there were more cases of glaucoma amongst males than females (Table 1) which if not well managed could have grave consequences for the livelihood of affected families. In most agrarian African communities, the traditional role of males is associated with breadwinning and any condition that affects a male’s role in providing the necessary financial support is worthy of attention [30]. This study, on the other hand, could have underrepresented women due to their generally low socioeconomic status which precludes them from accessing health care at the tertiary level [31, 32]. This suggests that efforts to stem sex-gender inequalities to access eye care should not be ignored.
Glaucoma pathogenesis has a genetic trace, nevertheless, most of the affected people are married [33, 34]. This implies that transmission from parent to children is inevitable. It is therefore necessary to consider screening for glaucoma as part of voluntary pre-marital marriage counseling for prospective couples as it is the case for sickle cell diseases [35–37]. This will ensure preventive genetic services for glaucoma control in Ghana. Also, periodic screening for first-generation progenies should be implemented for married people who have glaucoma. This will ensure early detection of glaucoma since controlled crosses may be difficult to achieve [38, 39].
The majority of the patients despite having essentially normal visual acuity were found to have lost significant peripheral vision as per the visual field assessment (Tables 3 and 4, Fig 1). The inherent threat is that given the most accessible and utilized means of transport in Ghana is by road, most of these patients who own cars per their socioeconomic status or engaged in commercial driving do not only endanger their own lives but that of other road users and passengers. Previous studies among commercial drivers in Ghana reported 14.5% of the history of road traffic accidents are due to poor judgment of distance [40]. Moreover, up to 7.7% of visual impairment among professional drivers is attributable to glaucoma [41]. This poor judgment stems mainly from restrictions of their visual fields. The spate of road accidents in Ghana is deemed as an emerging public health threat as it kills more people than most chronic and communicable diseases [42–45]. It is therefore imperative that a strict visual field assessment be incorporated into the pretest license requirement for the acquisition of drivers’ licenses in Ghana. The thinning of the retinal nerve fiber layer [46] as observed in this study is an indication that it is only a matter of time for those who currently have a glaucoma hemifield test that is “within normal limits” or “borderline” to lose essential peripheral vision.”
Contrary to an earlier assertion that Guans or people from the northern part of Ghana present with a severe form of glaucoma associated with large CDRs, there were not ethnic peculiarities with CDRs in this study [19]. Hence, screening among ethnic groups should be equitably distributed. Consistent with the literature, the cases of glaucoma were mainly of POAG (with its subtype, normal-tension glaucoma), bilateral, and adult-onset [16, 17]. These peculiarities of glaucoma among Ghanaians are a necessary guide for the screening, monitoring and tracking, and clinical characterization and management.
There is a gradual shift from the use of beta-blockers as the first line of treatment for glaucoma in Ghana as prostaglandins analogs are now listed as essential drugs in Ghana and are therefore covered by the National Health Insurance Scheme [18, 19]. That notwithstanding, there is still a comparable usage of beta-blockers (Table 5). The over-reliance on medical therapy, as opposed to surgical management, suggests poor knowledge of patients on treatment options, a lack of surgical glaucoma treatment options, and or lack of expertise in this domain. There is therefore the need to enhance education on treatment options and to update the skills of surgeons for the benefit of patients who may need such services.
Conclusions
In summary, the epidemiological and clinical presentation of glaucoma at this tertiary care facility has a great lesson for public intervention. Counseling on consanguineous marriages, early referral, and mandatory eye screenings at the community level, work, and religious places can help identify people with glaucoma for prompt diagnosis and management.
Supporting information
(SAV)
Acknowledgments
We thank the management of Bishop Ackon Memorial Christian Eye Centre, Cape Coast, Ghana, for giving us access and consent to take the data from their facility.
Data Availability
All relevant data are within the paper and its Supporting information files.
Funding Statement
Authors received no funding for this work.
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