|Year : 2016 | Volume
| Issue : 2 | Page : 118-123
A retrospective survey of childhood glaucoma prevalence according to Childhood Glaucoma Research Network classification
Ambika Hoguet1, Alana Grajewski2, Elizabeth Hodapp2, Ta Chen Peter Chang2
1 Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami, Miami, Florida; Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Boston, MA, USA
2 Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami, Miami, Florida, USA
|Date of Submission||30-Mar-2015|
|Date of Acceptance||24-Dec-2015|
|Date of Web Publication||5-Apr-2016|
Dr. Ambika Hoguet
Massachusetts Eye and Ear Infirmary, 243 Charles Street, Boston, MA 02114
Source of Support: None, Conflict of Interest: None
Purpose: To evaluate the Childhood Glaucoma Research Network (CGRN) classification system and describe the prevalence of each subtype according to this classification. Materials and Methods: Retrospectively, the medical records of 205 consecutive childhood glaucoma and glaucoma suspect patients at an urban tertiary care center were reviewed. The initial diagnosis and new diagnosis according to CGRN classification were recorded. Results: All patients fit one of the seven categories of the new classification. Seventy-one percent of diagnoses were changed upon reclassification. Twenty-three percent of patients had primary glaucoma (juvenile open-angle glaucoma and primary congenital glaucoma [PCG]); 36% had secondary glaucoma (glaucoma associated with nonacquired ocular anomalies; glaucoma associated with nonacquired systemic disease or syndrome; glaucoma associated with acquired condition; and glaucoma following cataract surgery); and 39% were glaucoma suspect. Of the patients diagnosed with glaucoma, PCG was the most common diagnosis, seen in 32% of patients. Conclusion: The CGRN classification provides a useful method of classifying childhood glaucoma.
Keywords: Childhood glaucoma, glaucoma, glaucoma categorization
|How to cite this article:|
Hoguet A, Grajewski A, Hodapp E, Chang TC. A retrospective survey of childhood glaucoma prevalence according to Childhood Glaucoma Research Network classification. Indian J Ophthalmol 2016;64:118-23
|How to cite this URL:|
Hoguet A, Grajewski A, Hodapp E, Chang TC. A retrospective survey of childhood glaucoma prevalence according to Childhood Glaucoma Research Network classification. Indian J Ophthalmol [serial online] 2016 [cited 2019 Oct 22];64:118-23. Available from: http://www.ijo.in/text.asp?2016/64/2/118/179716
Childhood glaucoma is a heterogeneous group of diseases which all share the final, common pathway of ocular hypertension, and pressure-related damage to ocular structures. Timely and correct diagnosis of glaucoma and its etiology is essential to optimize visual outcomes and guide appropriate treatment in children. Many different classification schemes have been proposed although none are widely adopted.,,, Some are too broad in their terminology while others are too specific to allow easy adaptation by all practitioners. Having a single, standardized classification system is important for diagnosis and management, improved physician communication, and future research.
Recently, the Childhood Glaucoma Research Network (CGRN), an International consortium of glaucoma specialists, proposed a unified classification system based on the clinical findings, timing, and context in which a diagnosis of glaucoma is made. The members aimed to create a classification that was simple and logical, so most clinicians could systematically determine where a condition should be placed. This CGRN classification will be used to plan longitudinal surveys of the management and outcomes of childhood glaucoma patients.
The prevalence of each glaucoma subtype according to this classification is unknown. The purpose of this study is to apply the CGRN classification retrospectively in order to investigate the disease subtypes under the new classification. We wish to use this information to gain insight on the spread of childhood glaucoma in a tertiary childhood glaucoma referral clinic.
| Materials and Methods|| |
Patients included in this study were seen in the pediatric glaucoma subspecialty clinics of an urban center in Miami, Florida, USA, which attracts a pediatric population from all over Florida and Caribbean Islands. Clinic rosters of these patients were reviewed, with June 2013 being the most recent clinic date, in order to identify 200 unique patients that fulfilled CGRN criteria for glaucoma or glaucoma suspect. Patients were included in the study if they were diagnosed with glaucoma or glaucoma suspect by one of four childhood glaucoma specialists. Appropriate Institutional Review Board approval was obtained for this study.
The diagnosis given by the examining clinician to each patient at their most recent clinic visit was recorded. Baseline characteristics including age at presentation and gender were recorded as well. The clinical characteristics of each of the patients were then evaluated according to the criteria proposed by the CGRN classification system. Patients were given the diagnosis of glaucoma or glaucoma suspect according to the definitions listed in [Table 1]. Of the patients diagnosed with glaucoma, further categorization was recorded according to CGRN criteria [Figure 1]. Primary childhood glaucoma categories included primary congenital glaucoma (PCG) and juvenile open-angle glaucoma (JOAG). Secondary childhood glaucoma categories included glaucoma associated with nonacquired ocular anomalies; glaucoma associated with nonacquired systemic disease or syndrome; glaucoma associated with acquired condition; and glaucoma following cataract surgery. Of note, with the new CGRN definitions, if a child had both an underlying condition that predisposed to glaucoma and had cataract surgery, the child would be diagnosed with glaucoma following cataract surgery only if glaucoma developed following cataract surgery; otherwise, the diagnosis would be related to the child's underlying condition.
|Table 1: Childhood Glaucoma Research Network definition of glaucoma and glaucoma suspect|
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|Figure 1: Brief decision tree to guide categorization according to Childhood Glaucoma Research Network classification|
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Statistical analysis was performed using the Chi-square test for categorical data. Categorical data are presented as counts and percentages, and continuous data are presented as means and medians.
| Results|| |
A total of 205 unique patients with a diagnosis of childhood glaucoma or glaucoma suspect were included in this study. As not all patients referred to the pediatric glaucoma clinics were diagnosed with glaucoma or glaucoma suspect by the examining clinician, we reviewed 246 charts to obtain a number close to the target of 200 patients. Twenty-three percent of the patients had primary glaucoma (JOAG and PCG); 36% had secondary glaucoma (glaucoma associated with nonacquired ocular anomalies; glaucoma associated with nonacquired systemic disease or syndrome; glaucoma associated with acquired condition; and glaucoma following cataract surgery); and 39% were glaucoma suspect. Two percent were labeled as having glaucoma by the examining physician but did not fulfill CGRN criteria for glaucoma or glaucoma suspect. The distribution of diagnoses of those patients with either a primary or secondary glaucoma is depicted in [Figure 2].
|Figure 2: Percentage of the patients with a childhood glaucoma diagnosis (excluding glaucoma suspect patients) in each Childhood Glaucoma Research Network classification category|
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For each CGRN childhood glaucoma category, baseline characteristics including the number of patients, affected eye, gender, and age are presented in [Table 2]. Glaucoma suspect was the most prevalent category. Laterality was only reported for those patients with a diagnosis of glaucoma (not for glaucoma suspect patients), and the majority of patients had bilateral involvement (60%, P = 0.03). The exception to this was patients diagnosed with glaucoma associated with nonacquired systemic disease or syndrome, where 64% of patients had disease involving their right eye. There was no significant difference in overall percentage of male or female patients with childhood glaucoma or glaucoma suspect (56% male, 44% female). However, more males than females were diagnosed with PCG (72% male, P < 0.001). The median age of patients included in the study was 3.72 years (mean 4.67 years). A slightly older age of diagnosis was seen in patients with glaucoma associated with acquired conditions (median age 7.92 years), JOAG (median age 6.58 years), and glaucoma suspect patients (median age 6.75 years).
|Table 2: Baseline characteristics of all patients in the study and within each category after|
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Glaucoma following cataract surgery
A total of 22 patients and 33 eyes were diagnosed with glaucoma following cataract surgery. Twenty-one patients had congenital idiopathic cataract; one patient with persistent fetal vasculature developed glaucoma following cataract extraction. Gonioscopy was recorded in 18 patients. Fourteen patients (78%) had an open angle glaucoma (>50% open); four patients (22%) had angle closure glaucoma (<50% open or acute angle closure).
The original diagnoses noted in the chart included “secondary glaucoma” in nine patients (41%), “aphakic glaucoma” in 8 patients (36%), and four distinct diagnoses including “angle closure,” “JOAG,” “pupillary block,” and “glaucoma.” Only one patient was diagnosed with “glaucoma following cataract surgery.”
Glaucoma associated with nonacquired systemic disease or syndrome
Nineteen eyes of 14 patients were diagnosed with glaucoma associated with nonacquired systemic disease or syndrome. Nine patients (64%) had a phakomatosis (4 Sturge–Weber, 2 phakomatosis pigmentovascularis, one had Klippel–Trenaunay– Weber syndrome More Details, one had neurofibromatosis, one had cutis marmorata telangiectasia congenita); two patients (14%) had chromosome disorders (trisomy 13); one patient (7%) had a connective tissue disorder (stickler syndrome); two patients (14%) had Rubinstein–Taybi.
The initial diagnoses noted in the chart included “secondary glaucoma” in nine patients (64%; with reason for glaucoma listed alongside the diagnosis in four cases), four diagnoses of glaucoma (28%); and one patient (7%) with a diagnosis that could not be discerned based on review of the records.
Glaucoma associated with nonacquired ocular conditions
Sixteen eyes of 10 patients were given the diagnosis of glaucoma associated with nonacquired ocular anomalies. Nine patients (90%) had an open angle configuration (>50% open angle), and one had angle closure (<50% open angle). Five patients (50%) had aniridia, two patients (20%) had Axenfeld–Rieger anomaly, one (10%) patient had Peter's anomaly, one patient (10%) had congenital ectropion uveae syndrome, and one patient (10%) had persistent fetal vasculature.
Initial diagnoses for these patients included “secondary glaucoma” in six patients (60%; with etiology listed in three cases); “aniridia with glaucoma” in three patients (30%); and “congenital glaucoma” in three patient (10%).
Glaucoma associated with acquired conditions
Twenty-eight patients (39 eyes) had glaucoma associated with acquired conditions. The angle was open (>50% open) in 25 patients (89%); three patients (11%) had a closed angle (<50% closed) on presentation. Fourteen patients (50%) had uveitis; eight patients (29%) had retinopathy of prematurity; five (18%) developed glaucoma following trauma; one patient (3%) developed glaucoma following endophthalmitis.
Diagnoses recorded in the chart included “uveitic glaucoma” in 12 patients (43%); “secondary glaucoma” (with no qualifier) in eight patients (29%); “aphakic glaucoma” in three patients (11%); “traumatic glaucoma” in three patients (11%); and one patient each with diagnosis of “mixed mechanism glaucoma,” and “corneal blood staining.”
Primary congenital glaucoma
Thirty-nine patients and a total of 70 eyes were diagnosed with PCG in this survey. Ten of these patients (26%) had an infantile or newborn onset of disease (age 0–1 month); 24 (62%) had infantile onset PCG (>1–24 months age); five (13%) had late-onset or late-recognized disease (>2 years).
Initial diagnoses on patient examination included “primary infantile glaucoma” in 24 patients (62%), “primary congenital glaucoma” in 14 patients (36%), and “congenital glaucoma” in one patient (3%).
Juvenile open-angle glaucoma
A total of nine patients and 17 eyes were diagnosed with JOAG. Initial diagnoses listed in these patient's charts included “JOAG” in five cases (56%); “primary open angle glaucoma” in two cases (22%); and “developmental glaucoma” and “glaucoma” in one case each.
Seventy-nine patients were diagnosed as glaucoma suspect. Of these, 57 patients (72%) were glaucoma suspects based on their optic nerve appearance on presentation. Seventeen (22%) were glaucoma suspects based on intraocular pressure (IOP) higher than 21 mmHg on more than one clinic visit. The remaining 5 (6%) patients were glaucoma suspects based on an increased corneal diameter.
Diagnosis on presentation included “glaucoma suspect” in 44 patients (56%); ocular hypertension in 17 patients (22%); “juvenile open-angle glaucoma suspect” in 13 patients (16%); “primary open angle glaucoma suspect” in two patients (3%); and “primary congenital glaucoma suspect” in three patients (4%).
| Discussion and Conclusion|| |
Childhood glaucoma is responsible for approximately 5% of blindness in children worldwide. The term childhood glaucoma encompasses a group of disorders that have serious vision-threatening implications. Although all glaucoma in children is ultimately associated with an elevated IOP leading to optic nerve damage and visual loss, the path to this common endpoint varies. Several different classification systems have been used in the past to describe patients with childhood glaucoma; however, none are widely accepted. The CGRN classification system is the first International Consensus Classification for childhood glaucoma. It provides a logical diagnostic guideline that clinicians can use to systematically and reproducibly categorize childhood glaucoma patients. Following a unified classification system will allow better standardization of communication and of future research on childhood glaucoma. To our knowledge, this is the first study to use this classification in a clinic population of childhood glaucoma and glaucoma suspect patients.
The CGRN classification proved easy to implement in our patient population, and we were able to categorize all glaucoma and glaucoma suspect patients into one of the seven categories proposed by the CGRN classification. There was no overlap; no patient fell into more than one diagnostic category. In addition, fewer distinct diagnoses were used with the new classification system, which proposes 7 possible diagnoses, compared with the 26 different diagnoses listed in the records we reviewed. In many cases, the pre-CGRN diagnosis listed in the chart did not give sufficient information about the etiology of the patient's disease. For example: Of the secondary glaucomas, “secondary glaucoma” was the most common diagnosis, listed in 43% charts. Using the CGRN classification allowed a less variable and more specific way to diagnose these patients with childhood glaucoma. It also provided more information about the type of glaucoma our patients had in comparison to the often vague diagnoses that were originally listed in the patient charts.
A review of the baseline characteristics of the patients in this study revealed no gender difference in patients with childhood glaucoma except in PCG where 72% of affected patients were male. This is consistent with previous reports in the literature of a predominance of male patients with PCG., Although the reason for this strong gender bias is still unknown, several investigators believe a genetic basis is most likely. One hypothesis is that this male predominance may be seen only in those patients without CYP1B1 (GLC3A; On-line Mendelian Inheritance in Man reference_601771) mutations, suggesting an alternative molecular basis for this finding., Differences in access to health care between newborn males and females may also contribute to this finding.
The majority of the patients included in this study had bilateral disease. The exception to this was patients diagnosed with glaucoma associated with nonacquired systemic disease or syndrome, where we saw a predominance of patients with disease involvement of the right eye. Because this is a new diagnostic category with a small sample size, it is difficult to compare this finding with previously published reports. However, with increased use of the CGRN classification, we can follow this trend in the future.
Our analysis was comparable to previous reports and showed that a significant majority of patients referred to our tertiary care pediatric glaucoma center were glaucoma suspects., The majority of patients in our study were diagnosed “glaucoma suspect” due to a suspicious optic nerve appearance (72%). Fung et al. reported similar findings: 76% of glaucoma suspect patients in their study population had suspicious appearing optic nerves. It is important to assess these patients for glaucoma, as most healthy infants and children have symmetric appearing optic nerves with a cup-disc ratio smaller than 0.3. Although optic nerve cupping can be affected by optic disc size, race, and refractive error among other variables, the low incidence of optic nerve cupping in children often warrants evaluation by a glaucoma specialist.,, Furthermore, in this cross-sectional study, it is not known whether any of the childhood glaucoma suspect patients eventually demonstrated progressive optic nerve or biometric changes that would later meet the criteria of childhood glaucoma.
We compared the distribution of diagnoses of patients with a type of childhood glaucoma in our clinic population with those in several previously published studies on the incidence of childhood glaucoma [Table 3].,,,,, Each of these investigators used different classifications for reporting the etiology of glaucoma in their patients; however, we attempted to reclassify the patients according to CGRN classification using the available information in each study. This method is exact, as slightly different criteria for diagnosing glaucoma were used by each group, and individual charts were not reviewed as they were in this study. However, it allows a comparison of overall trends in childhood glaucoma across different populations. PCG was the most common diagnosis in our patient population, and this was also the case in the majority (4 of 6) of studies we evaluated. The second most common diagnosis was glaucoma associated with acquired conditions, and this was a similar finding in 4 of the 6 additional studies. JOAG was a consistently rare diagnosis across all the studies.
|Table 3: Distribution of childhood glaucoma according to Childhood Glaucoma Research Network classification in this study and six previously published studies on childhood glaucoma|
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One important shift that has occurred with the new CGRN classification involves the category of glaucoma following cataract surgery. It is well known that cataract surgery in infants can cause glaucoma even years after uneventful surgery, with a variable incidence of 5–41% depending on age of surgery, corneal diameter, and surgical technique. However, since many ocular or systemic anomalies associated with congenital cataracts as well as causes of secondary cataracts (e.g., steroid use, trauma, etc.) are independently associated with increased risk of childhood glaucoma, most diagnoses do not clearly describe the direct cause of glaucoma. For patients whose glaucoma was diagnosed only after cataract surgery, regardless of the underlying medical condition or context, glaucoma is categorized as glaucoma following cataract surgery in the CGRN classification. This approach is succinct, logical, and practical, as it emphasizes the relative importance of early lensectomy as a cause of glaucoma and removes the ambiguity present in previous studies, where the etiology of the child's glaucoma (secondary to underlying disease vs. secondary to cataract surgery) was not consistently defined.
There are several limitations to this study. The small number of patients in some of the categories of childhood glaucoma restricts us from drawing firm conclusions about specific trends in this study, including the greater percentage of patients with right eye involvement in glaucoma associated with nonacquired systemic disease or syndrome, and the frequency of open- or closed-angle configuration in patients with glaucoma following cataract surgery and glaucoma associated with acquired conditions. In addition, the follow-up period was variable among the patients, making it difficult to report useful longitudinal treatment and outcome results. In the future, a collective database where clinicians can report the diagnosis of their childhood glaucoma patients according to CGRN, as well as report therapeutic and surgical interventions and patient outcomes, will be extremely useful. A prospective database with a long follow-up period will also allow us to see how often, and in what context, a patient with a diagnosis of glaucoma suspect develops glaucoma. This will allow more exquisite management of pediatric glaucoma suspect patients. Finally, we note that the diagnosis recorded in the medical records may not necessarily reflect the language used by the International Classification of Diseases, 9th edition (ICD-9) code assigned to that particular clinical encounter, and a comparison of our cohort's CGRN diagnoses with ICD-9 codes may reflect better concordance. However, as one of the goals in the development of CGRN classification is to improve communication between providers, a comparison with the actual, recorded diagnosis seems practical.
In summary, this study shows that the CGRN classification can be reliably used to describe the etiology of a child's glaucoma and provides useful information about the clinical population of childhood glaucoma patients in a referral center. We hope that its widespread use will allow us to take better care of our patients with childhood glaucoma.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Hoskins HD Jr., Shaffer RN, Hetherington J. Anatomical classification of the developmental glaucomas. Arch Ophthalmol 1984;102:1331-6.
Kolker AE, Hetherington J Jr. Becker-Shaffer's Diagnosis and Therapy of the Glaucomas. 3rd
ed. St. Louis: Mosby; 1970.
Roy FH. Comprehensive developmental glaucoma classification. Ann Ophthalmol 2005;37:237-44.
Yeung HH, Walton DS. Clinical classification of childhood glaucomas. Arch Ophthalmol 2010;128:680-4.
Beck A, Chang TC, Freedman S. Definition, classification, differential diagnosis. In: Weinreb RN, Grajewski A, Papadopoulos M, Grigg J, Freedman S, editors. Childhood Glaucoma.
Amsterdam: Kugler Publications; 2013. p. 3-10.
Gilbert CE, Rahi JS, Quinn GE. Visual impairment and blindness in children. In: Johnson GJ, Minassian DC, Weale RA, West SK, editors. The Epidemiology of Eye Disease.2nd
ed. London: Edward Arnold Ltd.; 2003. p. 260-86.
Barsoum-Homsy M, Chevrette L. Incidence and prognosis of childhood glaucoma. A study of 63 cases. Ophthalmology 1986;93:1323-7.
McGinnity FG, Page AB, Bryars JH. Primary congenital glaucoma: Twenty years experience. Ir J Med Sci 1987;156:364-5.
Vithana EN, Aung T. Exploring the basis of sex bias in primary congenital glaucoma. J Ophthalmic Vis Res 2009;4:73-4.
Suri F, Chitsazian F, Khoramian-Tusi B, Amini H, Yazdani S, Nilforooshan N, et al.
Sex bias in primary congenital glaucoma patients with and without CYP1B1 mutations. J Ophthalmic Vis Res 2009;4:75-8.
Ohtake Y, Tanino T, Suzuki Y, Miyata H, Taomoto M, Azuma N, et al.
Phenotype of cytochrome P4501B1 gene (CYP1B1) mutations in Japanese patients with primary congenital glaucoma. Br J Ophthalmol 2003;87:302-4.
Aponte EP, Diehl N, Mohney BG. Incidence and clinical characteristics of childhood glaucoma: A population-based study. Arch Ophthalmol 2010;128:478-82.
Fung DS, Roensch MA, Kooner KS, Cavanagh HD, Whitson JT. Epidemiology and characteristics of childhood glaucoma: Results from the Dallas Glaucoma Registry. Clin Ophthalmol 2013;7:1739-46.
Erkkilä H, Laatikainen L. Characteristics of optic disc in healthy school children. Acta Ophthalmol (Copenh) 1979;57:914-21.
Chi T, Ritch R, Stickler D, Pitman B, Tsai C, Hsieh FY. Racial differences in optic nerve head parameters. Arch Ophthalmol 1989;107:836-9.
Quigley HA, Brown AE, Morrison JD, Drance SM. The size and shape of the optic disc in normal human eyes. Arch Ophthalmol 1990;108:51-7.
Repka MX, Quigley HA. The effect of age on normal human optic nerve fiber number and diameter. Ophthalmology 1989;96:26-32.
Papadopoulos M, Cable N, Rahi J, Khaw PT; BIG Eye Study Investigators. The British infantile and childhood glaucoma (BIG) eye study. Invest Ophthalmol Vis Sci 2007;48:4100-6.
Taylor RH, Ainsworth JR, Evans AR, Levin AV. The epidemiology of pediatric glaucoma: The Toronto experience. J AAPOS 1999;3:308-15.
Qiao CY, Wang LH, Tang X, Wang T, Yang DY, Wang NL. Epidemiology of hospitalized pediatric glaucoma patients in Beijing Tongren Hospital. Chin Med J (Engl) 2009;122:1162-6.
Rabiah PK. Frequency and predictors of glaucoma after pediatric cataract surgery. Am J Ophthalmol 2004;137:30-7.
[Figure 1], [Figure 2]
[Table 1], [Table 2], [Table 3]