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Wu JH, Moghimi S, Walker E, Nishida T, Liebmann JM, Fazio MA, Girkin CA, Zangwill LM, Weinreb RN. Time to Glaucoma Progression Detection by Optical Coherence Tomography and Visual Field in Glaucoma Individuals of African Descent. Am J Ophthalmol 2024; 269:195-204. [PMID: 39094992 DOI: 10.1016/j.ajo.2024.07.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 06/14/2024] [Accepted: 07/23/2024] [Indexed: 08/04/2024]
Abstract
PURPOSE To examine the time to glaucoma progression detection by retinal nerve fiber layer thickness (RNFLT) and visual field (VF) among individuals of African descent (AD). DESIGN Retrospective cohort study. METHODS This multicenter study included eyes with glaucoma from individuals of AD from the Diagnostic Innovations in Glaucoma Study and the African Descent and Glaucoma Evaluation Study with ≥2 years/5 visits of optic nerve head RNFLT and 24-2 VF examinations. INTERVENTION OR OBSERVATION PROCEDURE Rates of VF mean deviation (MD) and RNFLT worsening were analyzed using linear mixed-effects models, and longitudinal data were simulated using the variability estimates. MAIN OUTCOME MEASURE The simulated time to detect trend-based glaucoma progression was assessed with assumed rates of VF MD and RNFLT change derived from the cohort (25th, 50th, and 75th percentile [as p25, median, and p75] slopes and mean slopes). Severity-stratified analyses were also performed. RESULTS We included 184 eyes from 128 subjects of AD (mean baseline age 63.4 years; VF MD -4.2 dB; RNFLT 80.2 µm). The p25, median, mean, and p75 rates of change were -0.43, -1.01, -1.15, and -1.64 µm per year for RNFLT, and 0.00, -0.21, -0.30, and -0.51 dB per year for VF MD, respectively. Compared with VF MD, RNFLT showed an overall shorter mean time to progression detection (time difference 0.4-1.7 years), with the mean rates showing the largest difference (RNFLT 5.2 years vs VF MD 6.9 years). Similarly, we found an overall shorter time to detect RNFLT progression, compared with that of VF MD progression, in eyes with mild glaucoma (≥1 year earlier) and in eyes with moderate to advanced glaucoma (∼0.5 year earlier). CONCLUSIONS Computer simulation showed a potentially shorter time to detect RNFLT progression than VF MD progression in eyes from individuals of AD. Our findings support the importance of using RNFLT to detect progressive glaucoma in individuals of AD.
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Affiliation(s)
- Jo-Hsuan Wu
- From the Hamilton Glaucoma Center (J-H.W., S.M., E.W., T.N., L.M.Z., R.N.W.), Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla, California, USA
| | - Sasan Moghimi
- From the Hamilton Glaucoma Center (J-H.W., S.M., E.W., T.N., L.M.Z., R.N.W.), Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla, California, USA
| | - Evan Walker
- From the Hamilton Glaucoma Center (J-H.W., S.M., E.W., T.N., L.M.Z., R.N.W.), Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla, California, USA
| | - Takashi Nishida
- From the Hamilton Glaucoma Center (J-H.W., S.M., E.W., T.N., L.M.Z., R.N.W.), Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla, California, USA
| | - Jeffrey M Liebmann
- Bernard and Shirlee Brown Glaucoma Research Laboratory (J.M.L.), Department of Ophthalmology, Edward S. Harkness Eye Institute, Columbia University Medical Center, New York, New York, USA
| | - Massimo A Fazio
- Department of Ophthalmology and Vision Sciences (M.F., C.A.G.), Heersink School of Medicine, University of Alabama-Birmingham, Birmingham, Alabama, USA
| | - Christopher A Girkin
- Department of Ophthalmology and Vision Sciences (M.F., C.A.G.), Heersink School of Medicine, University of Alabama-Birmingham, Birmingham, Alabama, USA
| | - Linda M Zangwill
- From the Hamilton Glaucoma Center (J-H.W., S.M., E.W., T.N., L.M.Z., R.N.W.), Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla, California, USA
| | - Robert N Weinreb
- From the Hamilton Glaucoma Center (J-H.W., S.M., E.W., T.N., L.M.Z., R.N.W.), Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla, California, USA.
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Acuff K, Wu JH, Varkhedi V, Baxter SL. Social determinants of health and health disparities in glaucoma: A review. Clin Exp Ophthalmol 2024; 52:276-293. [PMID: 38385607 PMCID: PMC11038416 DOI: 10.1111/ceo.14367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 01/30/2024] [Accepted: 02/02/2024] [Indexed: 02/23/2024]
Abstract
Social determinants of health and barriers to care can significantly impact patients' access to glaucoma care and treatment, resulting in disparities within disease presentation, progression, management, and treatment outcomes. The widespread adoption of electronic health record systems has allowed researchers and clinicians to further explore these relationships, identifying factors such as race, ethnicity, and socioeconomic status to be risk factors for more severe disease and lower treatment adherence. These disparities highlight potential targets for interventions to combat these disparities and improve overall patient outcomes. This article provides a summary of the available data on health disparities within glaucoma disease presentation, progression, management, treatment, and outcomes and discusses interventions to improve care delivery and outcomes among patients with glaucoma.
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Affiliation(s)
- Kaela Acuff
- Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California, USA
- Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California, USA
- Hamilton Glaucoma Center, Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla, CA, USA
| | - Jo-Hsuan Wu
- Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California, USA
- Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California, USA
- Hamilton Glaucoma Center, Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla, CA, USA
| | - Varsha Varkhedi
- Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California, USA
- Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California, USA
| | - Sally L. Baxter
- Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California, USA
- Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California, USA
- Hamilton Glaucoma Center, Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla, CA, USA
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