Glaucoma Screening and Referral Risk Factors in a High-Risk Population: Follow-up Study of the Manhattan Vision Screening Study (NYC-SIGHT)

Qing Wang; Ives A Valenzuela; Noga Harizman; Prakash Gorroochurn; Desiree R Torres; Stefania C Maruri; Daniel F Diamond; Jason D Horowitz; David S Friedman; C Gustavo De Moraes; George A Cioffi; Jeffrey M Liebmann; Lisa A Hark

doi:10.1097/IJG.0000000000002521

Glaucoma Screening and Referral Risk Factors in a High-Risk Population: Follow-up Study of the Manhattan Vision Screening Study (NYC-SIGHT)

J Glaucoma. 2024 Nov 26. doi: 10.1097/IJG.0000000000002521. Online ahead of print.

Authors

Qing Wang^{1

2}, Ives A Valenzuela^{1

2}, Noga Harizman^{1

2}, Prakash Gorroochurn³, Desiree R Torres², Stefania C Maruri², Daniel F Diamond^{1

2}, Jason D Horowitz^{1

2}, David S Friedman⁴, C Gustavo De Moraes^{1

2}, George A Cioffi^{1

2}, Jeffrey M Liebmann^{1

2}, Lisa A Hark^{1

2}

Affiliations

¹ Columbia University, Department of Ophthalmology, Vagelos College of Physicians and Surgeons, 630 W. 168th Street, New York, NY 10032.
² Edward S. Harkness Eye Institute, Columbia University Irving Medical Center, 622 W. 168th Street, New York, NY 10032.
³ Department of Biostatistics, Columbia University Mailman School of Public Health, 722 W. 168th Street, New York, NY 10032.
⁴ Harvard Medical School, Massachusetts Eye and Ear Infirmary, Glaucoma Service, 243 Charles Street, Boston, MA 02114.

PMID: 39792808
DOI: 10.1097/IJG.0000000000002521

Abstract

Prcis: Community-based eye health screenings that incorporated fundus photography and optometric exams in a high-risk NYC population effectively identified a higher than average number of participants that required an in-office glaucoma evaluation.

Purpose: To report glaucoma screening rates and risk factors associated with referral for in-office glaucoma evaluation in the Manhattan Vision Screening and Follow-up Study (NYC-SIGHT).

Methods: In this 5-year, cluster-randomized clinical trial, eligible individuals aged 40 and older were recruited from affordable housing developments and senior centers. Visual acuity with correction, intraocular pressure (IOP) measurements, and non-mydriatic fundus photography were conducted. Images were graded by a glaucoma specialist; those with an abnormal image were referred; those who failed the screening or had an unreadable fundus image were examined by the study optometrist. Chi-squared tests and stepwise multivariate logistic regression analyses were conducted to determine factors associated with glaucoma referral.

Results: 708 participants were screened; 189 (26.6%) were referred for an in-office glaucoma evaluation due to an abnormal optic disc image (n=138) or abnormal optometric exam (n=51). Those referred had a mean age 68.5 ±11.7 years and were 60% female, 57% Black, and 37% Hispanic. Stepwise multivariate logistic regression showed participants with self-reported glaucoma (OR 8.096, 95% CI 4.706-13.928, P=0.000), IOP>23 mmHg at the screening (OR 3.944, 95% CI 1.704-9.128, P=0.001), or wore prescription eyeglasses (OR 1.601, 95% CI 1.034-2.48, P=0.035) had higher odds of being referred for an in-office glaucoma evaluation. Of those referred, 106 (56%) attended, 36 participants (34%) were diagnosed with glaucoma and 38 participants (35.8%) as glaucoma suspects.

Conclusion: Our findings support public health approaches that focus community-based eye health screenings on high-risk populations and prioritize underserved communities.