TY - JOUR
T1 - Machine Learning–Derived Baseline Visual Field Patterns Predict Future Glaucoma Onset in the Ocular Hypertension Treatment Study
AU - Singh, Rishabh K.
AU - Smith, Sophie
AU - Fingert, John
AU - Gordon, Mae
AU - Kass, Michael
AU - Scheetz, Todd
AU - Segrè, Ayellet V.
AU - Wiggs, Janey
AU - Elze, Tobias
AU - Zebardast, Nazlee
N1 - Publisher Copyright:
© 2024 Association for Research in Vision and Ophthalmology Inc.. All rights reserved.
PY - 2024/2
Y1 - 2024/2
N2 - PURPOSE. The Ocular Hypertension Treatment Study (OHTS) identified risk factors for primary open-angle glaucoma (POAG) in patients with ocular hypertension, including pattern standard deviation (PSD). Archetypal analysis, an unsupervised machine learning method, may offer a more interpretable approach to risk stratification by identifying patterns in baseline visual fields (VFs). METHODS. There were 3272 eyes available in the OHTS. Archetypal analysis was applied using 24-2 baseline VFs, and model selection was performed with cross-validation. Decomposition coefficients for archetypes (ATs) were calculated. A penalized Cox proportional hazards model was implemented to select discriminative ATs. The AT model was compared to the OHTS model. Associations were identified between ATs with both POAG onset and VF progression, defined by mean deviation change per year. RESULTS. We selected 8494 baseline VFs. Optimal AT count was 19. The highest prevalence ATs were AT9, AT11, and AT7. The AT-based prediction model had a C-index of 0.75 for POAG onset. Multivariable models demonstrated that a one-interquartile range increase in the AT5 (hazard ratio [HR] = 1.14; 95% confidence interval [CI], 1.04–1.25), AT8 (HR = 1.22; 95% CI, 1.09–1.37), AT15 (HR = 1.26; 95% CI, 1.12–1.41), and AT17 (HR = 1.17; 95% CI, 1.03–1.31) coefficients conferred increased risk of POAG onset. AT5, AT10, and AT14 were significantly associated with rapid VF progression. In a subgroup analysis by high-risk ATs (>95th percentile or <75th percentile coefficients), PSD lost significance as a predictor of POAG in the low-risk group. CONCLUSIONS. Baseline VFs, prior to detectable glaucomatous damage, contain occult patterns representing early changes that may increase the risk of POAG onset and VF progression in patients with ocular hypertension. The relationship between PSD and POAG is modified by the presence of high-risk patterns at baseline. An AT-based prediction model for POAG may provide more interpretable glaucoma-specific information in a clinical setting.
AB - PURPOSE. The Ocular Hypertension Treatment Study (OHTS) identified risk factors for primary open-angle glaucoma (POAG) in patients with ocular hypertension, including pattern standard deviation (PSD). Archetypal analysis, an unsupervised machine learning method, may offer a more interpretable approach to risk stratification by identifying patterns in baseline visual fields (VFs). METHODS. There were 3272 eyes available in the OHTS. Archetypal analysis was applied using 24-2 baseline VFs, and model selection was performed with cross-validation. Decomposition coefficients for archetypes (ATs) were calculated. A penalized Cox proportional hazards model was implemented to select discriminative ATs. The AT model was compared to the OHTS model. Associations were identified between ATs with both POAG onset and VF progression, defined by mean deviation change per year. RESULTS. We selected 8494 baseline VFs. Optimal AT count was 19. The highest prevalence ATs were AT9, AT11, and AT7. The AT-based prediction model had a C-index of 0.75 for POAG onset. Multivariable models demonstrated that a one-interquartile range increase in the AT5 (hazard ratio [HR] = 1.14; 95% confidence interval [CI], 1.04–1.25), AT8 (HR = 1.22; 95% CI, 1.09–1.37), AT15 (HR = 1.26; 95% CI, 1.12–1.41), and AT17 (HR = 1.17; 95% CI, 1.03–1.31) coefficients conferred increased risk of POAG onset. AT5, AT10, and AT14 were significantly associated with rapid VF progression. In a subgroup analysis by high-risk ATs (>95th percentile or <75th percentile coefficients), PSD lost significance as a predictor of POAG in the low-risk group. CONCLUSIONS. Baseline VFs, prior to detectable glaucomatous damage, contain occult patterns representing early changes that may increase the risk of POAG onset and VF progression in patients with ocular hypertension. The relationship between PSD and POAG is modified by the presence of high-risk patterns at baseline. An AT-based prediction model for POAG may provide more interpretable glaucoma-specific information in a clinical setting.
KW - archetypal analysis
KW - glaucoma
KW - ocular hypertension
KW - risk stratification
KW - visual field
UR - http://www.scopus.com/inward/record.url?scp=85185865668&partnerID=8YFLogxK
U2 - 10.1167/iovs.65.2.35
DO - 10.1167/iovs.65.2.35
M3 - Article
C2 - 38393715
AN - SCOPUS:85185865668
SN - 0146-0404
VL - 65
JO - Investigative Ophthalmology and Visual Science
JF - Investigative Ophthalmology and Visual Science
IS - 2
M1 - 35
ER -