Journal of Clinical and Experimental Ophthalmology

Journal of Clinical and Experimental Ophthalmology
Open Access

ISSN: 2155-9570

Review Article - (2015) Volume 6, Issue 4

Primary Open-Angle Glaucoma in Individuals of African Descent: A Review of Risk Factors

Rebecca Salowe#, Julia Salinas#, Neil H Farbman, Aishat Mohammed, Joshua Z Warren, Allison Rhodes, Alexander Brucker, Meredith Regina, Eydie Miller-Ellis, Prithvi S Sankar, Amanda Lehman and Joan M O’Brien*
Scheie Eye Institute, University of Pennsylvania, Philadelphia, PA, USA
#Contributed equally to this work
*Corresponding Author: Joan M O’Brien, Scheie Eye Institute, University of Pennsylvania, Philadelphia, PA, USA

Abstract

Objective: To identify the major risk factors for primary open-angle glaucoma (POAG) in individuals of African descent.

Methods: We searched PubMed for relevant articles, with results spanning April 1947 to present. All abstracts were reviewed and, where relevant to POAG and race, articles were catalogued and analyzed. Additional sources were identified through citations in articles returned by our search.

Results: Numerous potential POAG risk factors were identified and organized into categories by demographics (age, sex, and skin color), lifestyle choices (smoking, alcohol), comorbidities (hypertension, diabetes, and obesity), ophthalmic findings (eye structure, central corneal thickness, corneal hysteresis, elevated intraocular pressure, myopia, cataract, and vascular abnormalities), family history, socioeconomic status, and adherence. Older age, male sex, lower central corneal thickness, decreased corneal hysteresis, elevated intraocular pressure, myopia, vascular abnormalities, and positive family history were definitively associated with increased risk of POAG.

Conclusions: Individuals at greatest risk for POAG should be screened by an ophthalmologist to allow earlier detection and to slow disease progression. Further studies on the genetics of the disease will provide more insight into underlying pathologic mechanisms and could lead to improved therapeutic interventions. Continued research in urban areas with large populations of blacks is especially needed.

Keywords: Glaucoma; Primary open-angle glaucoma; Blacks; African; Risk factors; Blindness

Introduction

Glaucoma is the leading cause of irreversible blindness worldwide, affecting approximately 70 million people [1]. Primary open-angle glaucoma (POAG), the most common form of the disease, develops as retinal ganglion cell damage causing optic nerve degeneration with subsequent progressive, irreversible vision loss [2]. Individuals of African descent are disproportionately affected by POAG. POAG develops earlier [3-8], presents with greater severity [3-5,9-12], and progresses more rapidly [3-8,13-15] in these individuals. Blacks with POAG also reach adverse endpoints more frequently, including worse visual fields and optic disc cupping [16-20], blindness [6,21,22], vision-related decrease in quality of life [23-28], and increased mortality [29,30].

Poor understanding of the etiology of POAG has hindered attempts at early identification and treatment of this disease. All studies agree that POAG is a complex and multivariate disease. As of now, elevated intraocular pressure (IOP) remains the only treatable component of this disease, but high IOP is neither necessary nor sufficient to develop glaucoma [31]. In order to improve prevention and treatment, it is important to understand the many other risk factors associated with POAG and their relationships to each other. Several factors have been definitively linked to POAG, but the mechanisms of their association to POAG remain inconclusive.

The purpose of this review is to provide a comprehensive analysis of the major risk factors associated with POAG in individuals of African descent. We carefully reviewed all available manuscripts from April 1947 to the present to complete this review. Identifying POAG risk factors in black populations will improve glaucoma screening by allowing clinicians to identify individuals at greatest risk who warrant closer monitoring. Furthermore, by providing an in-depth analysis of each risk factor, we hope to lay the foundation for more focused and personalized treatment of POAG. Finally, comprehensive understanding of POAG risk factors will inform data collection for large prospective studies of this population, including the Primary Open-Angle African-American Glaucoma Geneticsstudy (POAAGG).

Methods

We searched PubMed using the following terms: glaucoma and (race or ethnic or afro or Africa or black or negro). Dates were unrestricted, and our results spanned April 1947 to the present. All abstracts were reviewed and, where relevant to POAG and race, articles were catalogued and analyzed. Additional sources were identified through citations in articles returned by our search. We restricted our search to English language articles.

Results

Demographics

Age: POAG risk significantly increases with age in all populations, including blacks [32-34]. The (POAAGG) study found that African-American patients over age 80 were five times more likely to develop POAG than those aged 50-59 (33.0% versus 9.2%, p<0.001, sex-adjusted) [35]. Older black populations also have a tendency to present with more advanced disease at diagnosis, including severe optic nerve cupping or extensive visual field loss [18,36]. In addition, older untreated glaucoma patients and suspects experience more rapid disease progression than their younger counterparts [20].

Sex: Most reports suggest that black males have a greater risk of POAG than black females. A retrospective Barbados study and POAAGG both reported significantly greater POAG risk in males after adjusting for age (Barbados: 1.66 [1.24-2.24]; POAAGG: (1.29 [1.20, 1.40]) [34,35]. Studies examining African Caribbeans [32], Nigerians [37], and Congolese [38,39] found no significant associations between sex and POAG, but each trended toward greater risk in males.

The trend towards greater POAG risk in males may be stronger than it appears. Women account for 60% of eye care related outpatient visits, with older women more than twice as likely to have an appointment as older men [40]. Thus, males may be underdiagnosed with POAG and have even higher rates of POAG than studies indicate.

Skin pigmentation: While there is no definitive association between skin pigmentation and POAG, there is a trend between darker skin pigmentation and higher IOP among blacks. Wormald et al. suggested that darker skin may be associated with elevated IOP but not POAG [32], a result subsequently confirmed in Barbados [41]. African-Americans in Cleveland showed no relationship between skin color and IOP, but this study examined a much smaller cohort (n=213) [42] than the previous two studies (n=873 and n=4631, respectively) [32,41].

Lifestyle choices

Smoking: There is no definitive association between cigarette smoking and POAG. Several studies have shown a positive association between smoking and POAG [38,43], while others failed to confirm these findings [32,44,45]. However, these studies focused on very small cohorts with unmatched case-control groups [32,38,43-45] or examined only the short-term effects of smoking [43]. More large-scale studies examining the long-term effects of smoking on POAG risk are needed to confirm these findings. It is important to note that these results may be complicated by patient self-reporting or by IOP increases from nicotine [43].

Alcohol: Alcohol consumption has not previously been associated with POAG. The Baltimore Eye Survey [44] and a Congolese study [39] found no association between alcohol usage and POAG. Age-adjusted history of alcohol use was also not associated with glaucoma in the POAAGG study [46]. A prospective cohort of African-American women showed significantly greater POAG risk among current alcohol users versus never-users, but these results may be biased, since included subjects were more likely to report alcohol consumption than excluded subjects [45].

Comorbidities

Hypertension: A clear and direct relationship between blood pressure (BP) and POAG has not been established in black populations. The majority of studies found no significant relationship between BP and POAG [32,34,38,39,44,47]. Several other studies have assessed ocular perfusion with arterial blood pressure measurements, as abnormal ocular perfusion has been associated with optic nerve damage [33]. The Barbados Eye Study found an association between lower systolic, diastolic, and mean ocular perfusion pressure and POAG [33]. Conversely, two Nigerian studies found higher systemic BP and ocular perfusion pressure significantly associated with POAG [37,48]. The relationship between ocular pressure measurements and arterial blood pressure requires further investigation.

Diabetes: Most reliable studies found no relationship between diabetes mellitus (DM) and POAG [33,34,38,49], while a few demonstrated a protective relationship [50,51]. It is possible that this potential protective factor results from DM patients being more likely to have annual eye exams, which allows for earlier detection of POAG. Several studies have reported positive relationships between DM and POAG [32,37,48], but these studies were not age-adjusted [32,48], used unstandardized criteria for POAG diagnosis [37], or included unclear methodology for diabetes diagnosis [48].

Obesity: Studies have found both positive and inverse relationships between body-mass index (BMI) and POAG. The Barbados Eye Study found that elevated BMI was protective against POAG after adjusting for hypertension and diabetes [39], a result subsequently confirmed by the POAAGG study [46]. However, a Congolese case/control study found increased BMI significantly associated with POAG [38], while two other studies did not find a positive relationship between high BMI and POAG [34,39]. Standard BMI measurements may not account for the genetic mechanisms influencing body mass, making this variable difficult to accurately measure and correlate with POAG prevalence [39]. New, more targeted body mass and adiposity measurement tools could also prove helpful in elucidating whether adiposity in certain body regions is correlated with POAG.

Ophthalmic findings

Eye structure: Several studies in black populations have identified ocular structural features correlating with POAG [33,52-54]. However, because glaucoma affects eye structure, it is difficult to determine whether these findings represent risk factors for glaucoma development or effects of glaucoma pathology. Studies demonstrating eye structure differences between healthy blacks and whites could better represent true POAG risk factors and help explain the higher prevalence of POAG in blacks [55]. In particular, multiple studies have demonstrated that healthy blacks have thinner central corneal thickness (CCT) [55-62] and larger optic discs [15,56,58,63-71] than their Caucasian counterparts. Prospective studies would be necessary to determine if these structural differences correlate with higher POAG risk.

Central corneal thickness (CCT): As discussed above, healthy blacks have a thinner CCT than healthy whites [53,55,66,68,69,72-74]. Several studies have shown that CCT affects IOP readings [72]. However, the Goldmann applanation technique, considered the gold standard for measuring IOP, is based on the assumption that corneal thickness does not vary significantly between individuals. This assumption may lead to underestimation and possible undertreatment of blacks’ IOP and could lead to increased optic nerve damage in this population [55-62].

Corneal hysteresis: Recent studies have shown that corneal hysteresis (CH), an indicator for the viscoelastic properties of the cornea, is lower in healthy Africans than healthy Caucasians [73,74]. The increased elasticity of black eyes may cause underestimation of IOP [72]. In addition, having lower hysteresis increases the risk of visual field progression [75,76] and optic nerve damage [77]. In recent retrospective studies, low CH was a stronger predictor for progression than thin CCT, although it may be more of an association rather than a clear risk factor [74,77].

Elevated IOP: Elevated IOP has been confirmed by many studies as a strong risk factor for POAG. The Baltimore Eye Survey found that the risk of optic nerve damage increased with IOP [31], a finding replicated by the Barbados Eye Study [34]. The Barbados Eye Study showed POAG risk increased 12% for each 1 mmHg increase in IOP [78] and that IOP>21 mmHg imparted 11-fold greater odds of POAG [34].

Additionally, IOP can fluctuate naturally throughout the day [79,80]. Some studies have even suggested that this fluctuation may be a more important risk factor for POAG than a single baseline measurement [81].

While elevated IOP is a significant risk factor for POAG, it is neither necessary nor sufficient to develop glaucoma. Many POAG subjects have normal baseline IOP, as indicated in several studies [14,78,82-84].

Myopia: Most studies have found a correlation between myopia and POAG [37,85-88], although this relationship is not fully understood. Some hypothesize that severe myopia changes the connective and nerve tissue architecture, which could structurally alter the optic nerve head and make it more susceptible to glaucomatous damage [89]. Myopic eyes also have reduced retinal nerve fiber layer thickness, which could be a risk factor for developing POAG [89]. However, the Barbados Eye Study found that POAG patients developed subsequent myopia [82]. Myopiaand POAG could share some common mechanistic pathways since both involve changes in ocular connective tissues and nerve fiber layer, so it is difficult to ascertain which condition predisposes to the other.

Cataract: Cataracts and POAG are common co-morbidities, as the conditions are the first and second leading causes of blindness worldwide and are prevalent in the aging population. However, a definitive correlation between these co-morbidities has not been established. The Barbados Eye Study found that cataracts were more common among POAG cases than controls, which could be due to ascertainment bias [34]. Several other studies have failed to confirm a cataract/POAG association [32,33].

Vascular abnormalities: Persons of African descent tend to have more systemic vasculature complications than whites. In 2010, the rate of death per 100,000 attributable to cardiovascular disease (CVD) was 278.4 for white males, 369.2 for black males, 192.2 for white females, and 260.5 for black females [90]. Blacks also have higher rates of diabetes and hypertension [8,50,63]. Consistent with these findings, persons of African descent have significantly lower blood flow in all retrobulbar blood vessels than whites [91]. According to the vascular theory of glaucoma, insufficient blood flow to the optic nerve can cause neuropathy and may be a risk factor for the more severe glaucoma observed in blacks [92].

Family history

POAG risk strongly correlates with family history in black populations, reflecting heritability and/or shared environmental factors [49]. Studies in Nigeria [37], Barbados [33,34], Congo [38], and Baltimore [49] demonstrate odds of POAG up to 18-fold higher with positive family history [38]. Siblings of an affected patient were at the highest risk of developing POAG compared to parents or children [49]. This finding was subsequently confirmed by the Barbados Eye Study, which found a 4.5 odds ratio of POAG patients having a positive sibling history [38]. Maternal family history was reported twice as often as paternal history in POAG patients [38], a result consistent with the theory that mitochondrial DNA may be involved in the pathogenesis of POAG [93-95].

Evaluating family history can introduce many biases. Incomplete information about family members’ health, tendency to know maternal lineage better than paternal lineage, and lack of familiarity with glaucoma as a diagnosis make this variable difficult to measure reliably [32]. In the Baltimore Eye Survey, previously diagnosed individuals reported POAG family history significantly more often than newly diagnosed individuals, suggesting that individuals are less aware of their family history upon initial diagnosis [49].

Socioeconomic status

Socioeconomic deprivation is associated with late diagnosis [96] and more severe POAG at presentation [97,98]. Socioeconomically deprived groups also have demonstrated a higher need for information on the practical aspects of POAG, such as ocular medication usage and social support for visually-impaired individuals. These groups are also less likely to understand the irreversibility of POAG damage [99] and are less aware of glaucoma in the family [98].

These findings particularly affect those of African descent, who tend to have a lower average socioeconomic status than other ethnic groups. In 2010, 23% of black adults lived below the poverty level, compared with 11% of Asian and 9% of non-Hispanic white adults [100]. Census data from the same year indicates that only 19.8% of blacks in the US aged 25 years and older were college graduates compared with 30.3% whites and 52.4% Asian and Pacific Islander [101].

While lower socioeconomic status may create barriers for blacks that lead to later diagnosis and more severe disease, POAAGG recently reported that poverty does not increase risk of a POAG diagnosis in African-Americans [35]. This suggests that lower socioeconomic status may contribute to worse initial disease, but it is not the predominant cause of the higher prevalence of POAG in blacks.

Adherence

Since IOP remains the only treatable factor in glaucoma, adherence is essential to maintain a lower IOP and to slow glaucomatous optic nerve damage. Previous studies have shown that black patients have lower adherence rates than other races, particularly males, independent of education and socioeconomic status [102]. According to one study, the top five barriers to adherence were forgetfulness, drug side effects, cost, difficulties with ocular medication administration, and eye drop schedules [103].

However, adherence is a complex issue to understand and to study across races. Black patients, for example, are prescribed more eye-dropsthan their white counterparts [104], increasing the likelihood that eye drop schedules and cost hinder adherence. In addition, poor health literacy has been significantly correlated with non-compliance and poor understanding of glaucoma [105,106]. In one study, 56% of African-Americans had poor health literacy compared to 16% of Caucasians [100]. Since POAG is asymptomatic until vision loss, those with poor health literacy may be less likely to adhere to medication if they do not fully understand how it will benefit them. Poor health literacy and lower socioeconomic status may also contribute to African-American patients choosing other necessities over ocular medications. Improving patient adherence to their medication and appointment schedule may help to control IOP and to slow further glaucomatous damage.

Conclusion

This review provided a comprehensive analysis of the major risk factors associated with POAG in individuals of African descent. By examining all relevant research since April 1947, we found that older age, male gender, lower CCT, decreased CH, elevated IOP, myopia, vascular abnormalities, and positive family history were significantly associated with POAG in individuals of African descent. Individuals at greatest risk should be screened earlier and more frequently for POAG.

In addition to screening those at greatest risk and implementing protective measures to slow POAG progression, we also recommend future studies to concentrate on the genetic component of POAG, which remains understudied. Determining the function of associated genetic variants will provide insight into the greater risk for glaucoma development and progression in individuals of African descent and pave the way for improved and more targeted therapeutics.

Financial Support

This work was supported by the National Eye Institute, Bethesda, Maryland (grant #1RO1EY023557-01) and the Department of Ophthalmology at the Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA. Funds also come from the F.M. Kirby Foundation, Research to Prevent Blindness, Macula Vision Research Foundation, The Paul and Evanina Bell Mackall Foundation Trust, and the National Eye Institute, National Institutes of Health, Department of Health and Human Services, under eyeGENETM and contract Nos. HHSN260220700001C and HHSN263201200001C. The sponsor or funding organization had no role in the design or conduct of this research.

Conflict of Interest

No conflicting relationship exists for any author.

References

  1. Quigley HA, Broman AT (2006) The number of people with glaucoma worldwide in 2010 and 2020. Br J Ophthalmol 90: 262-267.
  2. Weinreb RN, Aung T, Medeiros FA (2014) The pathophysiology and treatment of glaucoma: a review. JAMA 311: 1901-1911.
  3. Wilson R, Richardson TM, Hertzmark E, Grant WM (1985) Race as a risk factor for progressive glaucomatous damage. Ann Ophthalmol 17: 653-659.
  4. Martin MJ, Sommer A, Gold EB, Diamond EL (1985) Race and primary open-angle glaucoma. Am J Ophthalmol 99: 383-387.
  5. Meinert C, Sternberg A, Amendlibercci D, Dodge J, Gerczak C, et al. (1993) The Glaucoma Laser Trial (GLT): 5. Subgroup differences at enrollment. Glaucoma Laser Trial Research Group. Ophthalmic Surg 24: 232-240.
  6. Meinert C, Sternberg A, Amendlibercci D, Dodge J, Gerczak C, et al. (1993) The Glaucoma Laser Trial (GLT): 5. Subgroup differences at enrollment. Glaucoma Laser Trial Research Group. Ophthalmic Surg 24: 232-240.
  7. Grant WM, Burke JF Jr (1982) Why do some people go blind from glaucoma? Ophthalmology 89: 991-998.
  8. Wilensky JT, Gandhi N, Pan T (1978) Racial influences in open-angle glaucoma. Ann Ophthalmol 10: 1398-1402.
  9. AGIS-Investigators (1998) The Advanced Glaucoma Intervention Study (AGIS): 3. Baseline characteristics of black and white patients. Ophthalmology 105: 1137-1145.
  10. Fraser S, Bunce C, Wormald R (1999) Retrospective analysis of risk factors for late presentation of chronic glaucoma. Br J Ophthalmol 83: 24-28.
  11. Mafwiri M, Bowman RJ, Wood M, Kabiru J (2005) Primary open-angle glaucoma presentation at a tertiary unit in Africa: intraocular pressure levels and visual status. Ophthalmic Epidemiol 12: 299-302.
  12. Verrey JD, Foster A, Wormald R, Akuamoa C (1990) Chronic glaucoma in northern Ghana--a retrospective study of 397 patients. Eye (Lond) 4 : 115-120.
  13. Ntim-Amponsah CT (2002) Visual loss in urban and rural chronic glaucoma patients in Ghana. Trop Doct 32: 102-104.
  14. Quigley HA, Tielsch JM, Katz J, Sommer A (1996) Rate of progression in open-angle glaucoma estimated from cross-sectional prevalence of visual field damage. Am J Ophthalmol 122: 355-363.
  15. Drance S, Anderson DR, Schulzer M; Collaborative Normal-Tension Glaucoma Study Group (2001) Risk factors for progression of visual field abnormalities in normal-tension glaucoma. Am J Ophthalmol 131: 699-708.
  16. Broman AT, Quigley HA, West SK, Katz J, Munoz B, et al. (2008) Estimating the rate of progressive visual field damage in those with open-angle glaucoma, from cross-sectional data. Invest Ophthalmol Vis Sci 49: 66-76.
  17. Quigley HA, Enger C, Katz J, Sommer A, Scott R, et al. (1994) Risk factors for the development of glaucomatous visual field loss in ocular hypertension. Arch Ophthalmol 112: 644-649.
  18. Smith SD, Katz J, Quigley HA (1996) Analysis of progressive change in automated visual fields in glaucoma. Invest Ophthalmol Vis Sci 37: 1419-1428.
  19. Lichter PR, Musch DC, Gillespie BW, Guire KE, Janz NK, et al. (2001) Interim clinical outcomes in the Collaborative Initial Glaucoma Treatment Study comparing initial treatment randomized to medications or surgery. Ophthalmology 108: 1943-1953.
  20. Schwartz B, Takamoto T, Martin J (2004) Increased rate of visual field loss associated with larger initial visual field threshold values on follow-up of open-angle glaucoma. J Glaucoma 13: 120-129.
  21. Wilson MR, Kosoko O, Cowan CL Jr, Sample PA, Johnson CA, et al. (2002) Progression of visual field loss in untreated glaucoma patients and glaucoma suspects in St. Lucia, West Indies. Am J Ophthalmol 134: 399-405.
  22. Hiller R, Kahn HA (1975) Blindness from glaucoma. Am J Ophthalmol 80: 62-69.
  23. Sommer A, Tielsch JM, Katz J, Quigley HA, Gottsch JD, et al. (1991) Racial differences in the cause-specific prevalence of blindness in east Baltimore. N Engl J Med 325: 1412-1417.
  24. Muir KW, Santiago-Turla C, Stinnett SS, Herndon LW, Allingham RR, et al. (2008) Health literacy and vision-related quality of life. Br J Ophthalmol 92: 779-782.
  25. Sherwood MB, Garcia-Siekavizza A, Meltzer MI, Hebert A, Burns AF, et al. (1998) Glaucoma's impact on quality of life and its relation to clinical indicators. A pilot study. Ophthalmology 105: 561-566.
  26. Janz NK, Wren PA, Lichter PR, Musch DC, Gillespie BW, et al. (2001) Quality of life in newly diagnosed glaucoma patients : The Collaborative Initial Glaucoma Treatment Study. Ophthalmology 108: 887-897.
  27. Friedman DS, Freeman E, Munoz B, Jampel HD, West SK (2007) Glaucoma and mobility performance: the Salisbury Eye Evaluation Project. Ophthalmology 114: 2232-2237.
  28. Wu SY, Hennis A, Nemesure B, Leske MC; Barbados Eye Studies Group (2008) Impact of glaucoma, lens opacities, and cataract surgery on visual functioning and related quality of life: the Barbados Eye Studies. Invest Ophthalmol Vis Sci 49: 1333-1338.
  29. Onakoya AO, Mbadugha CA, Aribaba OT, Ibidapo OO (2012) Quality of life of primary open angle glaucoma patients in lagos, Nigeria: clinical and sociodemographic correlates. J Glaucoma 21: 287-295.
  30. Bennion JR, Wise ME, Carver JA, Sorvillo F (2008) Analysis of glaucoma-related mortality in the United States using death certificate data. J Glaucoma 17: 474-479.
  31. Wu SY, Nemesure B, Hennis A, Schachat AP, Hyman L, et al. (2008) Open-angle glaucoma and mortality: The Barbados Eye Studies. Arch Ophthalmol 126: 365-370.
  32. Sommer A, Tielsch JM, Katz J, Quigley HA, Gottsch JD, et al. (1991) Relationship between intraocular pressure and primary open angle glaucoma among white and black Americans. The Baltimore Eye Survey. Arch Ophthalmol 109: 1090-1095.
  33. Wormald RP, Basauri E, Wright LA, Evans JR (1994) The African Caribbean Eye Survey: risk factors for glaucoma in a sample of African Caribbean people living in London. Eye (Lond) 8 : 315-320.
  34. Leske MC, Wu SY, Hennis A, Honkanen R, Nemesure B; BESs Study Group (2008) Risk factors for incident open-angle glaucoma: the Barbados Eye Studies. Ophthalmology 115: 85-93.
  35. Charlson E, Chua M, Rhodes A, III WM, Salowe R, et al. (Unpublished) Overcoming Health Care Disparities and Poverty in a Large African-American Population using Glaucoma as a Model. University of Pennsylvania.
  36. Leske MC, Connell AM, Wu SY, Hyman LG, Schachat AP (1995) Risk factors for open-angle glaucoma. The Barbados Eye Study. Arch Ophthalmol 113: 918-924.
  37. Nouri-Mahdavi K, Hoffman D, Coleman AL, Liu G, Li G, et al. (2004) Predictive factors for glaucomatous visual field progression in the Advanced Glaucoma Intervention Study. Ophthalmology 111: 1627-1635.
  38. Agbeja-Baiyeroju AM, Bekibele CO, Bamgboye EA, Omokhodion F, Oluleye TS (2003) The Ibadan glaucoma study. Afr J Med Med Sci 32: 371-376.
  39. Kaimbo Wa Kaimbo D, Missotten L (1997) Risk factors for open-angle glaucoma in 260 black subjects in Congo. Bull Soc Belge Ophtalmol 267: 29-34.
  40. Kaimbo DK, Buntinx F, Missotten L. (2001) Risk factors for open-angle glaucoma: a case-control study. Journal of clinical epidemiology 54: 166-171.
  41. Chiang YP, Wang F, Javitt JC (1995) Office visits to ophthalmologists and other physicians for eye care among the U.S. population, 1990. Public Health Rep 110: 147-153.
  42. Wu SY, Leske MC (1997) Associations with intraocular pressure in the Barbados Eye Study. Arch Ophthalmol 115: 1572-1576.
  43. Schwam BL, Kalenak JW, Meyers SJ, Kansupada KB (1995) Association between skin color and intraocular pressure in African Americans. Journal of clinical epidemiology 48: 491-496.
  44. Timothy CO, Nneli RO (2007) The effects of cigarette smoking on intraocular pressure and arterial blood pressure of normotensive young Nigerian male adults. Nigerian J Physiol Sci 22: 33-36.
  45. Katz J, Sommer A (1988) Risk factors for primary open angle glaucoma. Am J Prev Med 4: 110-114.
  46. Wise LA, Rosenberg L, Radin RG, Mattox C, Yang EB, et al. (2011) A prospective study of diabetes, lifestyle factors, and glaucoma among African-American women. Ann Epidemiol 21: 430-439.
  47. Charlson ES, Sankar PS, Miller-Ellis E, Regina M, Fertig R, et al. (2015) The primary open-angle african american glaucoma genetics study: baseline demographics. Ophthalmology 122: 711-720.
  48. Tielsch JM, Katz J, Sommer A, Quigley HA, Javitt JC (1995) Hypertension, perfusion pressure, and primary open-angle glaucoma. A population-based assessment. Arch Ophthalmol 113: 216-221.
  49. Omoti AE, Enock ME, Okeigbemen VW, Akpe BA, Fuh UC (2009) Vascular risk factors for open angle glaucoma in african eyes. Middle East Afr J Ophthalmol 16: 146-150.
  50. Tielsch JM, Katz J, Sommer A, Quigley HA, Javitt JC (1994) Family history and risk of primary open angle glaucoma. The Baltimore Eye Survey. Arch Ophthalmol 112: 69-73.
  51. Gordon MO, Beiser JA, Brandt JD, Heuer DK, Higginbotham EJ, et al. (2002) The Ocular Hypertension Treatment Study: baseline factors that predict the onset of primary open-angle glaucoma. Arch Ophthalmol 120: 714-720.
  52. Oliver JE, Hattenhauer MG, Herman D, Hodge DO, Kennedy R, et al. (2002) Blindness and glaucoma: a comparison of patients progressing to blindness from glaucoma with patients maintaining vision. Am J Ophthalmol 133: 764-772.
  53. Girkin CA, McGwin G Jr, McNeal SF, DeLeon-Ortega J (2003) Racial differences in the association between optic disc topography and early glaucoma. Invest Ophthalmol Vis Sci 44: 3382-3387.
  54. Beltran-Agullo L, Alaghband P, Rashid S, Gosselin J, Obi A, et al. (2011) Comparative human aqueous dynamics study between black and white subjects with glaucoma. Invest Ophthalmol Vis Sci 52: 9425-9430.
  55. Pary-Van Ginderdeuren P, Kaimbo Wa Kaimbo D, Goethals M, Missotten L (1997) Differences in the trabecular meshwork between Belgian and Congolese patients with open-angle glaucoma. Bull Soc Belge Ophtalmol 267: 183-190.
  56. Shimmyo M, Ross AJ, Moy A, Mostafavi R (2003) Intraocular pressure, Goldmann applanation tension, corneal thickness, and corneal curvature in Caucasians, Asians, Hispanics, and African Americans. Am J Ophthalmol 136: 603-613.
  57. Racette L, Boden C, Kleinhandler SL, Girkin CA, Liebmann JM, et al. (2005) Differences in visual function and optic nerve structure between healthy eyes of blacks and whites. Arch Ophthalmol 123: 1547-1553.
  58. Leite MT, Alencar LM, Gore C, Weinreb RN, Sample PA, et al. (2010) Comparison of corneal biomechanical properties between healthy blacks and whites using the Ocular Response Analyzer. Am J Ophthalmol 150: 163-168.e161.
  59. Fansi AAK, Papamatheakis DG, Harasymowycz PJ (2009) Racial variability of glaucoma risk factors between African Caribbeans and Caucasians in a Canadian urban screening population. Can JOphthalmol 44: 576-581.
  60. Haider KM, Mickler C, Oliver D, Moya FJ, Cruz OA, et al. (2008) Age and racial variation in central corneal thickness of preschool and school-aged children. J Pediatr Ophthalmol Strabismus 45: 227-233.
  61. Muir KW, Duncan L, Enyedi LB, Freedman SF (2006) Central corneal thickness in children: Racial differences (black vs. white) and correlation with measured intraocular pressure. J Glaucoma 15: 520-523.
  62. Semes L, Shaikh A, McGwin G, Bartlett JD (2006) The relationship among race, iris color, central corneal thickness, and intraocular pressure. Optom Vis Sci 83: 512-515.
  63. Aghaian E, Choe JE, Lin S, Stamper RL (2004) Central corneal thickness of Caucasians, Chinese, Hispanics, Filipinos, African Americans, and Japanese in a glaucoma clinic. Ophthalmology 111: 2211-2219.
  64. Girkin CA, Sample PA, Liebmann JM, Jain S, Bowd C, et al. (2010) African Descent and Glaucoma Evaluation Study (ADAGES): II. Ancestry differences in optic disc, retinal nerve fiber layer, and macular structure in healthy subjects. Arch Ophthalmol 128: 541-550.
  65. Tsai CS, Zangwill L, Gonzalez C, Irak I, Garden V, et al. (1995) Ethnic differences in optic nerve head topography. J Glaucoma 4: 248-257.
  66. Girkin CA, McGwin G Jr, Xie A, Deleon-Ortega J (2005) Differences in optic disc topography between black and white normal subjects. Ophthalmology 112: 33-39.
  67. Chi T, Ritch R, Stickler D, Pitman B, Tsai C, et al. (1989) Racial differences in optic nerve head parameters. Arch Ophthalmol 107: 836-839.
  68. Varma R, Tielsch JM, Quigley HA, Hilton SC, Katz J, et al. (1994) Race-, age-, gender-, and refractive error-related differences in the normal optic disc. Arch Ophthalmol 112: 1068-1076.
  69. Marsh BC, Cantor LB, WuDunn D, Hoop J, Lipyanik J, et al. (2010) Optic nerve head (ONH) topographic analysis by stratus OCT in normal subjects: correlation to disc size, age, and ethnicity. J Glaucoma 19: 310-318.
  70. Girkin CA, McGwin G Jr, Sinai MJ, Sekhar GC, Fingeret M, et al. (2011) Variation in optic nerve and macular structure with age and race with spectral-domain optical coherence tomography. Ophthalmology 118: 2403-2408.
  71. Krueger H, Schittkowski MP, Kilangalanga N, Hopkins A, Guthoff R (2009) [Comparing specific disc findings of a European and a Bantu population]. Klin Monbl Augenheilkd 226: 844-848.
  72. Knight OJ, Girkin CA, Budenz DL, Durbin MK, Feuer WJ; Cirrus OCT Normative Database Study Group (2012) 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 130: 312-318.
  73. Wolfs RC, Klaver CC, Vingerling JR, Grobbee DE, Hofman A, et al. (1997) Distribution of central corneal thickness and its association with intraocular pressure: The Rotterdam Study. Am J Ophthalmol 123: 767-772.
  74. Detry-Morel M, Jamart J, Hautenauven F, Pourjavan S (2012) Comparison of the corneal biomechanical properties with the Ocular Response Analyzer (ORA) in African and Caucasian normal subjects and patients with glaucoma. Acta Ophthalmol 90: e118-e124.
  75. Haseltine SJ, Pae J, Ehrlich JR, Shammas M, Radcliffe NM (2012) Variation in corneal hysteresis and central corneal thickness among black, hispanic and white subjects. Acta Ophthalmol 90: e626-631.
  76. Congdon NG, Broman AT, Bandeen-Roche K, Grover D, Quigley HA (2006) Central corneal thickness and corneal hysteresis associated with glaucoma damage. Am J Ophthalmol 141: 868-875.
  77. De Moraes CV, Hill V, Tello C, Liebmann JM, Ritch R (2012) Lower corneal hysteresis is associated with more rapid glaucomatous visual field progression. J Glaucoma 21: 209-213.
  78. Vu DM, Silva FQ, Haseltine SJ, Ehrlich JR, Radcliffe NM (2013) Relationship between corneal hysteresis and optic nerve parameters measured with spectral domain optical coherence tomography. Graefes Arch Clin Exp Ophthalmol 251: 1777-1783.
  79. Nemesure B, Honkanen R, Hennis A, Wu SY, Leske MC; Barbados Eye Studies Group (2007) Incident open-angle glaucoma and intraocular pressure. Ophthalmology 114: 1810-1815.
  80. Asrani S, Zeimer R, Wilensky J, Gieser D, Vitale S, et al. (2000) Large diurnal fluctuations in intraocular pressure are an independent risk factor in patients with glaucoma. J Glaucoma 9: 134-142.
  81. de Venecia G, Davis MD (1963) Diurnal variation of intraocular pressure in the normal eye. Arch Ophthalmol 69: 752-757.
  82. Musch DC, Gillespie BW, Niziol LM, Lichter PR, Varma R; CIGTS Study Group (2011) Intraocular pressure control and long-term visual field loss in the Collaborative Initial Glaucoma Treatment Study. Ophthalmology 118: 1766-1773.
  83. Le A, Mukesh BN, McCarty CA, Taylor HR (2003) Risk factors associated with the incidence of open-angle glaucoma: the visual impairment project. Invest Ophthalmol Vis Sci 44: 3783-3789.
  84. Araie M, Sekine M, Suzuki Y, Koseki N (1994) Factors contributing to the progression of visual field damage in eyes with normal-tension glaucoma. Ophthalmology 101: 1440-1444.
  85. Park HY, Park SH, Park CK (2014) Central visual field progression in normal-tension glaucoma patients with autonomic dysfunction. Invest Ophthalmol Vis Sci 55: 2557-2563.
  86. Wu SY, Yoo YJ, Nemesure B, Hennis A, Leske MC; Barbados Eye Studies Group (2005) Nine-year refractive changes in the Barbados Eye Studies. Invest Ophthalmol Vis Sci 46: 4032-4039.
  87. Mitchell P, Hourihan F, Sandbach J, Wang JJ (1999) The relationship between glaucoma and myopia: the Blue Mountains Eye Study. Ophthalmology 106: 2010-2015.
  88. Perkins ES, Phelps CD (1982) Open angle glaucoma, ocular hypertension, low-tension glaucoma, and refraction. Arch Ophthalmol 100: 1464-1467.
  89. Weinreb RN, Khaw PT (2004) Primary open-angle glaucoma. Lancet 363: 1711-1720.
  90. Chen SJ, Lu P, Zhang WF, Lu JH (2012) High myopia as a risk factor in primary open angle glaucoma. Int J Ophthalmol 5: 750-753.
  91. Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, et al. (2014) Heart disease and stroke statistics--2014 update: a report from the American Heart Association. Circulation 129: e28-28e292.
  92. Siesky B, Harris A, Racette L, Abassi R, Chandrasekhar K, et al. (2015) Differences in ocular blood flow in glaucoma between patients of African and European descent. J Glaucoma 24: 117-121.
  93. Flammer J, Orgül S, Costa VP, Orzalesi N, Krieglstein GK, et al. (2002) The impact of ocular blood flow in glaucoma. Prog Retin Eye Res 21: 359-393.
  94. Banerjee D, Banerjee A, Mookherjee S, Vishal M, Mukhopadhyay A, et al. (2013) Mitochondrial genome analysis of primary open angle glaucoma patients. PLoS One 8: e70760.
  95. Abu-Amero KK, Morales J, Bosley TM (2006) Mitochondrial abnormalities in patients with primary open-angle glaucoma. Invest Ophthalmol Vis Sci 47: 2533-2541.
  96. Collins DW, Gudiseva HV, Trachtman BT, Jerrehian M, Gorry T, et al. (2013) Mitochondrial sequence variation in African-American primary open-angle glaucoma patients. PLoS One 8: e76627.
  97. Fraser S, Bunce C, Wormald R, Brunner E (2001) Deprivation and late presentation of glaucoma: case-control study. BMJ 322: 639-643.
  98. Ng WS, Agarwal PK, Sidiki S, McKay L, Townend J, et al. (2010) The effect of socio-economic deprivation on severity of glaucoma at presentation. Br J Ophthalmol 94: 85-87.
  99. Sukumar S, Spencer F, Fenerty C, Harper R, Henson D (2009) The influence of socioeconomic and clinical factors upon the presenting visual field status of patients with glaucoma. Eye (Lond) 23: 1038-1044.
  100. Hoevenaars JG, Schouten JS, van den Borne B, Beckers HJ, Webers CA (2006) Socioeconomic differences in glaucoma patients' knowledge, need for information and expectations of treatments. Acta Ophthalmol Scand 84: 84-91.
  101. National Center for Health Statistics (2012) Health, United States, 2011: With Special Feature on Socioeconomic Status and Health. Centers for Disease Control and Prevention.
  102. Rees G, Chong X, Cheung C, Aung T, Friedman D, et al. (2014) Beliefs and adherence to glaucoma treatment: a comparison of patients from diverse cultures J Glaucoma 23: 293-298.
  103. Dreer L, Girkin C, Campbell L, Wood A, Geo L, et al. (2013) Glaucoma medicaltion adherence among African Americans: program development. Optom Vis Sci 90: 883-897.
  104. Sleath B, Blalock S, Covert D, et al. (2012) Patient race, reported problems in using glaucoma medications, and adherence. ISRN Ophthalmol 2012: 1-7.
  105. Baker DW, Gazmararian JA, Williams MV, Scott T, Parker RM, et al. (2002) Functional health literacy and the risk of hospital admission among Medicare managed care enrollees. American journal of public health 92: 1278-1283.
Citation: Salowe R, Salinas J, Farbman NH, Mohammed A, Warren JZ, et al. (2015) Primary Open-Angle Glaucoma in Individuals of African Descent: A Review of Risk Factors. J Clin Exp Ophthalmol 6:450.

Copyright: © 2015 Salowe R, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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