Abstract
Objective
The International Classification of Disease, 10th revision (ICD-10) codes used for glaucoma severity classification are based on the 24-2 visual-field (VF) test. This study aim was to assess the added value of providing clinicians with optical coherence tomography (OCT) data, in addition to functional data, for glaucoma staging in clinical practice.
Exposure
Disease classification was determined for 54 glaucoma eyes, according to the principles of the ICD-10 guidelines. Eyes were independently graded in a masked fashion using the 24-2 VF test and 10-2 VF test, with and without OCT information. The reference standard (RS) for severity was determined using a previously published automated structure-function topographic agreement for glaucomatous damage using all available information.
Results
The RS classified eyes as mild, moderate and advanced in 3, 16 and 35 cases, respectively. Individual and combined 24-2 and 10-2 based gradings were significantly different from the RS (all P < 0.005), with Kappa agreements of 0.26, 0.45 and 0.42 respectively (P < 0.001). Classifications using OCT combined with either of the VF were not-significantly different from the RS (P > 0.3) with Kappa agreements of 0.56 and 0.57 respectively (P < 0.001). Combining 24-2 with OCT had less severity overestimations while 10-2 with OCT had fewer underestimations.
Conclusion
Combining OCT and VF data provides better staging of glaucoma severity than VF data alone. The 24-2 and OCT combination seems most appropriate given the high concordance with the RS and less overestimation of severity. Incorporating structural information into disease stages allows clinicians to set more appropriate severity-based treatment targets for individual patients.
Similar content being viewed by others
Introduction
The International Classification of Diseases (ICD) is widely accepted as a classification system for clinical, research and health management purposes for medical conditions, including glaucoma. In addition to specifying glaucoma diagnosis (e.g, open-angle vs angle-closure glaucoma, primary vs. secondary mechanisms, etc.), the current 10th revision (ICD-10) also includes classification of disease severity. The classification requires the presence of “optic nerve abnormalities consistent with glaucoma,” as a necessary condition for the diagnosis, however severity is determined based solely on abnormalities found within three regions on the visual field (VF) test: superior hemifield, inferior hemifield and central 5 degrees (Fig. 1a) [1].
There are several important advantages to the regional classification method of the ICD-10. First, compared to other VF-based classification methods (e.g., the Hodapp-Anderson-Parrish criteria and Brusini Enhanced Glaucoma Staging System), the rules are fairly simple to understand and relatively easy to apply. In the ICD-10 system, eyes with normal visual function are recorded as mild, involvement of both hemifields or loss within the central 5 degrees are classified as advanced, and the remaining eyes with field loss are classified as moderate. It is worth noting that the classification gives special consideration to the central 5 degrees due to the importance of central vision for daily activity and quality of life [2,3,4]. The same is true for other VF-based glaucoma classification systems, (e.g. HPA, Glaucoma Visual Field Staging System [GVFSS]). However, this region is covered by only 4 points in the 24-2 and 30-2 perimetry tests, which limits the ability of these tests to detect abnormalities in this region.
In a previous study [5], we applied the same set of rules as the ICD-10 to structural information obtained by optical coherence tomography (OCT) and found a wide range of structural damage within each ICD-10 VF-based severity group. There was also a significant overlap in the extent of structural damage across the VF-based severity groups. Furthermore, in over 40% of the eyes, the OCT detected central damage missed by the 24-2. These findings coincide with previous studies showing that classification systems that relies exclusively on the 24-2 or 30-2 VF are likely to underestimate severity by missing central damage [6,7,8]. In that study we hypothesized that by adding OCT information to the VF, this grading system would result in a more accurate reflection of the extent of glaucomatous damage.
The aim of the current study is to assess whether combining OCT and VF data provides better staging of glaucoma severity than VF data alone and to determine which functional test (24-2 or 10-2) is best for this purpose.
Methods
Subjects
This retrospective cross-sectional study was approved by the institutional review board for human research of Columbia University Irving Medical Center and followed the tenets of the Declaration of Helsinki and the Health Insurance Portability and Accountability Act. Written informed consent was obtained from all eligible participants.
Data collected from patients who participated in a previous clinical study (the Macular Damage in Early Glaucoma and Progression Study; PI: C Gustavo De Moraes; ClinicalTrials.gov Identifier: NCT02547740) were used. All eyes had refractive error between –6 and +6 diopters. Fifty-four eyes for which a wide-field swept-source OCT scan (12 x 9 mm, Topcon, Inc., Paramus, NJ, USA), involving both the macula and the optic disc, color disc photo, 24-2 visual field (VF) and 10-2 VF (Swedish Interactive Testing Algorithm–Standard, Humphrey Field Analyzer; Carl Zeiss, Meditec, Inc., Dublin, CA, USA) were available within a 6-month time frame were included. The presence of GON in all cases was confirmed by two independent glaucoma experts (CGD, QW) based on all available data. If more than one VF was available, the first reliable test (false positive rate ≤15% and fixation losses ≤ 33%) was used. The OCT was performed within 6 months of the 24-2 VF (mean 29.9, median [IQR] 0 [0-3.5] days).
ICD-10 severity classifications
The ICD-10 glaucoma severity reference guide [1] defines severity based on the extent of regional involvement on the VF. In particular, the entire VF is divided into three regions: superior hemifield, inferior hemifield, and central 5 degrees (Fig. 1a). Severity is defined according to the presence of abnormalities within these three regions with: “Mild” indicating that none of the regions are involved; “Moderate”, only one of the hemifields is involved without the central region; and “Advanced”, either both hemifields are involved and/or the central region is involved.
The ICD-10 glaucoma severity definition (mild, moderate, advanced) was determined for each eye by a separate group of two independent graders (NH, JML). The graders had five rounds of severity classification. In the first two rounds, they were presented with either a 10-2 or a 24-2 VF test. For the remaining three rounds, the following combinations of tests were presented: 24-2 VF with OCT, 10-2 VF with OCT, and 24-2 VF with 10-2 VF. In each round, the graders were asked to define regional involvement (superior/inferior hemifield and central 5 degrees) based on the presented information, and to determine severity according to the rules of the ICD-10 glaucoma reference guide for each eye.
Disagreements were resolved after a discussion between the two graders. In each round, the graders were masked to all other data, including the original classification in the medical chart or any gradings from previous rounds.
Objective automated structure-function reference standard (RS)
Because the ICD-10 does not provide specific details as to what should be considered an abnormality within each region, the classification, regardless of the test it is based upon, is subjective and open to interpretation. Therefore, we modified a previously described method for automated detection of topographic agreement to create an objective measure for regional involvement [9]. We used that modified approach as the reference standard (RS) for the extent of the disease. In particular, an automated structure-function report was generated using combined data obtained from the pattern deviation maps of both the 10-2 and 24-2 VF, and the RNFL and GCL probability maps (see Fig. 2). Abnormal locations for the 24-2 and 10-2 VF (threshold probability <5%) are shown as large and small black-filled circles respectively, and the abnormal RNFL and GCL regions are color-coded yellow-red (threshold probability <10%). Based on our previous work [9], a location was considered abnormal if it was confirmed by at least two of the 3 tests (i.e., OCT, 24-2 VF and 10-2 VF). We defined three types of abnormal locations. First, when both the OCT region and the superimposed VF location were abnormal, it was called “abnormal structure—abnormal function (aS-aF).” An aS-aF location based on a 24-2 and 10-2 VF point is demarcated with a diamond and square respectively in Figure B. Second, a cluster of abnormal VF points, located within one of the ICD-10 regions (i.e., superior hemifield, inferior hemifield, or central 5 degrees), and comprised of at least 3 adjacent points taken from both the 10-2 and 24-2 VF (within the same region) was called an “abnormal function—abnormal function (aF-aF)” region. Third, if at least one of the abnormal VF points within an aF-aF location was marked as an aS-aF location, it was considered an “abnormal structural component (aF-aF-aS) location.”
For each eye, regional involvement (i.e., superior hemifield, inferior hemifield, central) was automatically classified based on a set of predetermined rules. In particular, a region was defined as “involved” if it satisfied at least one of the following criteria:
-
1.
Two aS-aF locations within the same region (Fig. 2. blue arrows)
-
2.
Two aF-aF locations within the same region (Fig. 2. yellow arrow and outline)
-
3.
A combination of one aS-aF location and one aF-aF location within the same region.
-
4.
One point of aF-aF-aS location (Fig. 2. red arrow and outline)
-
5.
Peripheral structural defects were based only on the RNFL probability map
-
6.
Central structural defects were defined based only on the GCL probability map. In addition, central structural damage was only considered to be abnormal if accompanied by a corresponding RNFL arcuate defect.
A summary of the mean number of abnormal points for each of the regions involved according to the RS is presented in eTable 1.
The regional decisions were translated to an ICD-10 equivalent severity score based on the flow-chart in Fig. 1b. Of the 54 eyes, 3 were mild, 16 moderate, and 35 advanced.
Statistics
The statistical software SPSS version 25.0 (SPSS,Inc., Chicago, IL, USA). A p-value of <0.05 was considered significant. Accuracy rates and Cohens Kappa were calculated to estimate the agreement of each of the proposed grading methods to the RS. Marginal homogeneity test was also applied to determine if the gradings differed significantly from the RS.
Results
Table 1 summarizes the glaucoma experts’ agreement with the RS gradings when the experts used either a single VF test, a combination of both VFs, or a combination of one type of VF with the OCT. A detailed comparison between each of the grading methods to the RS is available in the supplementary material (eTable 2).
The gradings based on a combination of either the 24-2 or the 10-2 with the OCT had the best overall performance (bold in Table 1). Close to 80% of the eyes were graded with the same severity as the RS (red in eTable 2), and based on the marginal homogeneity test, both were not significantly different from the RS (P value > 0.34). These two methods differed mainly in the direction of misclassification: gradings based on the 24-2 & OCT combination tended to have more cases of underestimation of severity, whereas the gradings based on the 10-2 & OCT combination tended to have more cases of over-estimation of severity (Table 1). An example for each is available online (eFig. 1).
The gradings based on the 24-2 and 10-2 VF tests, whether alone or in combination were significantly different from the RS (marginal homogeneity test P value < 0.004). This was largely due to underestimation of the severity, which occurred in approximately a third of the cases. Missed central involvement was the most common cause for underestimation of severity with gradings based only on the 24-2 (13 out of the 19 cases of underestimation) as shown in the example in Fig. 3a. On the other hand, over half (8 out of 15) of the underestimations of the 10-2 based gradings were related to missed hemifield involvement, as shown in the example in Fig. 3b.
The combination of 24-2 and 10-2 provided poorer agreement with the RS than the 10-2 alone, although the agreement was better than the gradings based only on the 24-2. Again, most of the disagreements with the RS (15 out of 18 cases) were due to underestimation of severity. This was due to missed central involvement in 8 cases and missed involvement of at least one hemifield involvement in 7 cases. An example for each type of underestimation is available online (eFig. 2).
When the gradings were based on the 24-2 alone, severity was overestimated, compared to the RS, in 5/54 (9.3%) cases. All of these were due to hemifield involvement that was considered significant by the graders based on the 24-2 but did not meet the RS threshold. With the addition of the OCT, the graders agreed with the RS regarding the hemifield involvement in 3 out of the five cases. However, the 10% overestimation rate remained unchanged when the gradings were based on the combination of 24-2 with OCT, due to a greater number of cases that were considered to have central involvement. The lowest rate of overestimation was for the gradings based only on the 10-2 (2/54, 3.7%). However, the overestimation rate became much higher with the addition of OCT to the 10-2 (7/54, 13%). An example of such a case of overestimation is shown in Fig. 4.
Discussion
The purpose of this study was to assess the added value of providing clinicians with structural information (i.e., OCT), in addition to functional information (i.e., 10-2 and 24-2 VF) to better stage glaucoma severity based on the rules of the ICD-10. We found that when using only functional data, the graders tended to underestimate severity as compared to an objective assessment of severity (i.e., the RS), even when both the 10-2 and 24-2 were provided for the grading. As we hypothesized, a better agreement with the RS was achieved when the graders’ severity decisions were based on combined OCT and VF information.
The limitation of using only functional information
Although the importance of VF testing in glaucoma and its substantial association with measures of vision-related quality of life has been described extensively [2,3,4, 10,11,12,13,14], VF tests have several limitations and each VF pattern has its own drawbacks. The 24-2 test pattern covers most of the functional visual field, but has low central spatial resolution [6, 7, 15,16,17,18,19,20,21]. Consequently, grading severity based only on the 24-2 will underestimate severity due to missed central damage as evident in our results. An example of such a case is provided in Fig. 3a. This an important limitation to the ICD-10 classification, which typically uses the 24-2 test, and thus often underestimate the presence and extent of macular damage, the region that is crucial for performance of day-to-day activities. Various studies have shown that both structural and functional glaucomatous macular damage correlate with poor contrast sensitivity, facial recognition and overall diminished vision related quality of life [4, 14, 22,23,24,25]. Given the low sensitivity of the 24-2 to central damage, significant damage that impacts quality of life can be easily missed.
Conversely, the 10-2 pattern has relatively high central spatial resolution, but covers a limited area of the visual field (less than a quarter of the area of the 24-2) and will miss more peripheral hemifield involvement. In addition, the limited field makes it harder to identify the arcuate patterns of visual field defects that start outside the central 10°. An example of this underestimation of severity due to missed peripheral damage, is shown in Fig. 3b.
The joint use of the two types of VF patterns did not provide a better outcome than using the 10-2 alone, and improved the accuracy of the gradings using the 24-2 by only 6 cases. In other words, the advantages of having more peripheral or central VF information, did not significantly aid in grading severity when compared to one type of VF test alone. This is likely due to the fact that both tests are based on the same principles and share similar sources for inherent variability. In addition, the relatively small spatial overlap between the two tests, especially in the central 5 degrees, limits the ability to of each of the tests to confirm the other. In any case, in the clinical setting it is usually impractical to obtain both a 10-2 and a 24-2 on the same visit due to time constraints and testing fatigue.
The power of combining structure and functional information
The best performance involved a combination of either the 10-2 or the 24-2 with the OCT. The advantage of these combinations is probably due to the VF and OCT tests having unrelated sources of variability, making artifacts more easily distinguished from real damage. An example is available online (Fig. S-1a).
Adding the OCT to the disease severity classification system compensates for the limitations embedded in each of the VF patterns. The OCT and specifically the GCL maps offer high spatial resolution for the central region, which helped the graders to reduce the rate of missed central involvement (as determined by the RS) when using only the 24-2. The added value of the OCT is also supported by previous studies that found a correlation between structural macular damage to functional vision and vision related quality of life [4]. In addition, the wide field RNFL scan covers a large enough area that compensates for the relatively narrow area of the 10-2 and helps identify the arcuate pattern. In addition, using information from OCT is also likely to improve the accuracy of severity classification in patients with visual field tests with low-reliability.
In any case, both the 10-2 and 24-2 are roughly equivalent as functional tests for glaucoma severity grading when combined with the OCT. Both combinations provided a similar degree of accuracy (Kappa value close to 0.6) and statistically were not different than the RS. While the 10-2 is useful in clinical management, it is not required for staging when the OCT is incorporated into the classification alongside the 24-2. Assuming that a classification system must be highly specific, and avoid overestimation of severity in order to be effective, the combination of the OCT with the 24-2 has the advantage in having lower rates of overestimation than the OCT combined with the 10-2. The trade-off is that some cases will have a severity classification that underrepresents the extent of the glaucomatous disease. From a clinical perspective, misclassifying a patient as being worse than they actually are might lead to an unnecessarily aggressive or higher-risk intervention. Conversely, while inadvertently staging a patient into a lower-risk category may result in undertreatment, subsequent testing will likely provide additional staging and progression information that will alter the periodicity of surveillance or treatment intensity. This is especially true for identifying central involvement due to the significant impact on quality of life.
Limitations
Even the best combination of OCT and VF tests agreed with our RS in only 80% of the eyes. It is important to note that the RS used herein was not intended as a gold standard for determining glaucoma severity, but rather to provide an objective and standardized measure to test the ICD-10 rules. The empirical set of rules of determining regional involvement for the RS was derived from previously published data [9], and included information from all three tests in a way that treated them as equally as possible. Modifying our RS rules or thresholds might affect the decisions on regional involvement and consequently the agreement of the various grading methods with the RS on severity. However, it should be noted that in most cases the number of abnormal points far exceeded the threshold for determining regional involvement (Table S1). It might also be argued that the 24-2 is under-represented by our RS, as most of the field points have no spatial agreement with either the 10-2 or the OCT image because of the scan field size. However, the fact that the 24-2 based grading had very few cases of over-classification indicates that this was not the main cause for disagreements with the RS.
While our data confirm the limitations of the current ICD-10 system and suggest that structural data needs to be integrated to enhance the disease classification and staging rubric, additional research is needed to help develop more precise guidance for the clinician to maximize diagnostic accuracy. An ideal classification method should be as objective as possible, preferably automated, to ensure standardization and repeatability. While the automated S-F agreement used here as a reference standard could be an adequate first step in this direction, it has some limitations. Using the algorithm requires both 24-2 and 10-2 visual field tests, in addition to an OCT scan. While the combination of 24-2 and 10-2 VF provides a more comprehensive evaluation of functional damage [8], it is not always practical to perform both tests on the same visit. In addition, although the use of OCT in glaucoma management is growing, it might not be as readily available as perimetry, which may limit the applicability of our approach in certain regions. The RS might also be less useful among individuals that are not well represented by the OCT normative database (e.g., high myopes). In such cases the presence of artifacts in the probability (aka deviation map) of the OCT, due to mere anatomic variability, can increase the rates of false-positive or false-negative results for regional involvement. However, the spatial agreement between the OCT and VF required by the RS minimizes that risk. Given that the variance of each test is independent and related to their unique normative database, the probability of yielding a false positive or false negative result in the same location on both tests is highly unlikely (due to the Multiplication Rule of Probability for independent events). Regardless, we encourage clinicians and researchers to always carefully review the complete report to exclude any artifacts that may affect the grading. Notwithstanding these shortcomings, more accurate staging of disease severity will aid physician decision-making and the development of health care policy to more clearly focus on those individuals at greatest risk for a decrease in vision-related quality of life or blindness. Further validation is needed to determine the relationship between quality-of-life measures and combining OCT and VF to determine regional damage. Future considerations could include objective and, preferably automated, alternatives to the ICD-10 that maintain its intuitive basis and generalizability across clinical practices. The ICD classification should be revisited when OCT becomes more widely available worldwide.
Summary
Combining OCT and VF data provides better staging of glaucoma severity than VF data alone. The 24-2 and OCT combination seems most appropriate given the high concordance with the S-F RS and lowest rate of overestimation of severity. Incorporating structural information into disease stages allows clinicians to set more appropriate severity-based treatment targets for individual patients.
Summary
What was known before
-
The ICD-10 glaucoma severity classification system is usually based on the 24-2 visual fields which have low sensitivity to central damage and therefore can result in underestimation of disease severity
What this study adds
-
This cross-sectional study of 54 eyes demonstrated that combining optical coherence tomography and visual field data improves the accuracy of disease severity estimation and staging compared to the use of functional testing alone, as defined by the ICD-10 classification system.
Data availability
Data is available and would be provided upon reasonable request.
References
American Academy of Ophthalmic Executives. Glaucoma ICD-10-CM Quick Reference Guide. American Glaucoma Society and American Academy of Ophthalmology. 2020.
Parrish RK, Gedde SJ, Scott IU, Feuer WJ, Schiffman JC, Mangione CM, et al. Visual function and quality of life among patients with glaucoma. Arch Ophthalmol (Chic, Ill: 1960). 1997;115:1447–55.
McKean-Cowdin R, Varma R, Wu J, Hays RD, Azen SP. Severity of visual field loss and health-related quality of life. Am J Ophthalmol. 2007;143:1013–23.
Blumberg DM, De Moraes CG, Prager AJ, Yu Q, Al-Aswad L, Cioffi GA, et al. Association between undetected 10-2 visual field damage and vision-related quality of life in patients with glaucoma. JAMA Ophthalmol. 2017;135:742–7.
Leshno A, Tsamis E, Harizman N, Cioffi GA, Wang Q, La Bruna S, et al. The ICD-10 glaucoma severity score underestimates the extent of glaucomatous optic nerve damage. Am J Ophthalmol. 2022;S0002-9394(22)00313-0.
Grillo LM, Wang DL, Ramachandran R, Ehrlich AC, De Moraes CG, Ritch R, et al. The 24-2 visual field test misses central macular damage confirmed by the 10-2 visual field test and optical coherence tomography. Transl Vis Sci Technol. 2016;5:15.
De Moraes CG, Sun A, Jarukasetphon R, Rajshekhar R, Shi L, Blumberg DM, et al. Association of macular visual field measurements with glaucoma staging systems. JAMA Ophthalmol. 2019;137:139.
Traynis I, De Moraes CG, Raza AS, Liebmann JM, Ritch R, Hood DC. The prevalence and nature of early glaucomatous defects in the central 10° of the visual field. JAMA Ophthalmol. 2014;132:291–7.
Tsamis E, Bommakanti NK, Sun A, Thakoor KA, De Moraes CG, Hood DC. An automated method for assessing topographical structure-function agreement in abnormal glaucomatous regions. Transl Vis Sci Technol. 2020;9:14.
Varma R, Lee PP, Goldberg I, Kotak S. An assessment of the health and economic burdens of glaucoma. Am J Ophthalmol. 2011;152:515–22.
Chan EW, Chiang PPC, Liao J, Rees G, Wong TY, Lam JSH, et al. Glaucoma and associated visual acuity and field loss significantly affect glaucoma-specific psychosocial functioning. Ophthalmology 2015;122:494–501.
Medeiros FA, Gracitelli CPB, Boer ER, Weinreb RN, Zangwill LM, Rosen PN. Longitudinal changes in quality of life and rates of progressive visual field loss in glaucoma patients. Ophthalmology 2015;122:293–301.
Grisafe DJ, Varma R, Burkemper BS, Xu BY, Torres M, Fairbrother-Crisp A, et al. Impact of visual field loss on vision-specific quality of life in African Americans: The African American Eye Disease Study. Am J Ophthalmol. 2021;229:52–62.
Blumberg DM, Liebmann JM, Hirji SH, Hood DC. Diffuse macular damage in mild to moderate glaucoma is associated with decreased visual function scores under low luminance conditions. Am J Ophthalmol. 2019;208:415–20.
De Moraes CG, Hood DC, Thenappan A, Girkin CA, Medeiros FA, Weinreb RN, et al. 24-2 visual fields miss central defects shown on 10-2 tests in glaucoma suspects, ocular hypertensives, and early glaucoma. Ophthalmology 2017;124:1449–56.
Langerhorst CT, Carenini LL, Bakker D, De Bie-Raakman MAC Measurements for description of very early glaucomatous field defects. In: International Perimetric Society, Meeting, Wall M, Heijl A, editors. Perimetry update, 1996/1997: proceedings of the XIIth International Perimetric Society Meeting, Würzburg, Germany, June 4-8, 1996. Amsterdam; New York; New York: Kugler Publications; Distributor for the U.S.A. and Canada, DEMOS; 1997. p. 67–73.
Schiefer U, Papageorgiou E, Sample PA, Pascual JP, Selig B, Krapp E, et al. Spatial pattern of glaucomatous visual field loss obtained with regionally condensed stimulus arrangements. Invest Ophthalmol Vis Sci. 2010;51:5685–9.
Park HYL, Hwang BE, Shin HY, Park CK. Clinical clues to predict the presence of parafoveal scotoma on humphrey 10-2 visual field using a humphrey 24-2 visual field. Am J Ophthalmol. 2016;161:150–9.
Sullivan-Mee M, Karin Tran MT, Pensyl D, Tsan G, Katiyar S. Prevalence, features, and severity of glaucomatous visual field loss measured with the 10-2 achromatic threshold visual field test. Am J Ophthalmol. 2016;168:40–51.
Roberti G, Manni G, Riva I, Holló G, Quaranta L, Agnifili L, et al. Detection of central visual field defects in early glaucomatous eyes: comparison of Humphrey and Octopus perimetry. PLoS One. 2017;12:e0186793.
Hood DC, Raza AS, de Moraes CGV, Liebmann JM, Ritch R. Glaucomatous damage of the macula. Prog Retin Eye Res. 2013;32:1–21.
Khan SS, Hirji SH, Hood DC, Liebmann JM, Blumberg DM. Association of macular optical coherence tomography measures and deficits in facial recognition in patients with glaucoma. JAMA Ophthalmol. 2021;139:486.
Hirji SH, Hood DC, Liebmann JM, Blumberg DM. Association of patterns of glaucomatous macular damage with contrast sensitivity and facial recognition in patients with glaucoma. JAMA Ophthalmol. 2021;139:27.
Hirji SH, Liebmann JM, Hood DC, Cioffi GA, Blumberg DM. Macular damage in glaucoma is associated with deficits in facial recognition. Am J Ophthalmol. 2020;217:1–9.
Garg A, Hood DC, Pensec N, Liebmann JM, Blumberg DM. Macular damage, as determined by structure-function staging, is associated with worse vision-related quality of life in early glaucoma. Am J Ophthalmol. 2018;194:88–94.
Funding
Supported by National Eye Institute grant R01-EY-02115 (DCH), R01-EY-025253 (CGDM); Jane and David Walentas Glaucoma Research Fund, Columbia University Department of Ophthalmology; an unrestricted grant to the Department of Ophthalmology, Columbia University Department of Ophthalmology from Research to Prevent Blindness, Inc., New York, NY USA (JML, AL); and Schur Family Glaucoma Fellowship (AL), Columbia University Department of Ophthalmology.
Author information
Authors and Affiliations
Contributions
Conceptualization: AL, ET, JML, CGDM, and DCH; Data curation: AL, ET, NH, CGDM, SLB, AR, QW, DCH; Formal analysis: AL, ET, CGDM, SLB, AGS, GAC, JML, DCH; Investigation: AL, ET, NH, CGDM, SLB, AR, AGS, GAC, QW, JML, DCH; Methodology: AL, ET, JML, CGDM, and DCH; Project administration: AL, ET, DCH, and JML; Resources: DCH, CGDM and JML; Supervision: DCH, JML, GAC and CGDM; Validation: AGS, GAC, QW, JML and DCH; Writing—original draft: AL, ET, DCH, JML, SLB and CGDM; Writing—review & editing: AL, ET, DCH, JML, SLB, AR, NH, AGS, QW, GAC and CGDM.
Corresponding author
Ethics declarations
Competing interests
DCH: Topcon, Inc. (F, R); Heidelberg Engineering (F, R); Novartis, Inc. (F, R). CGDM: Carl Zeiss Meditec, Inc. (C); Novartis (C); Heidelberg Engineering (R); Topcon (F); Galimedix (C); Perfuse Therapeutics (C); Ora Clinical, Inc. (E) JML: Carl Zeiss Meditech, Inc. (R); Heidelberg Engineering (R).
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Leshno, A., Tsamis, E., Harizman, N. et al. Improving glaucoma staging in clinical practice by combining the ICD-10 glaucoma severity classification system and optical coherence tomography. Eye 38, 153–160 (2024). https://doi.org/10.1038/s41433-023-02650-5
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41433-023-02650-5