Faculty Bibliography

PURPOSE/UNASSIGNED:Rhegmatogenous retinal detachment (RRD) after retinopathy of prematurity (ROP) laser is rare but has been reported to occur at the border of heavy laser or in combination with tractional retinal detachment (TRD). We describe a rare case of a RRD that developed during treatment for ROP with both laser and intravitreal injections. OBSERVATIONS/UNASSIGNED:The retinal detachment resolved with scleral buckling surgery with residual macular atrophy. CONCLUSIONS AND IMPORTANCE/UNASSIGNED:This case highlights the importance of retinal imaging, careful funduscopic examination, and consideration of the risk of RRDs after intravitreal injections and laser in neonates with ROP.

PURPOSE:We sought to evaluate the association between 5 eye diseases (including glaucoma, cataract, congenital optic nerve disease, congenital retinal disease, and blindness/low vision) and mental illness in a pediatric population. DESIGN:Cross-sectional study. METHODS:A de-identified commercial insurance claims database, OptumLabs Data Warehouse, between January 1, 2007, and December 31, 2018, was used. Children and teens less than 19 years of age at the time of eye diagnosis were included. Demographics and mental illness claims were compared, looking at the association of mental illness and eye disease claims. RESULTS:A total of 11,832,850 children and teens were included in this study with mean age of 8.04 ± 5.94 years at the first claim. Of the patients with at least 1 of the 5 eye diseases (n = 180,297), 30.5% had glaucoma (n = 54,954), 9.5% had cataract (n = 17,214), 21.4% had congenital optic nerve disease (n = 38,555), 26.9% had congenital retinal disease (n = 48,562), and 25.9% had blindness or low vision (n = 46,778). There was a statistically significant association, after adjusting for confounding variables, between at least 1 of the 5 eye diseases and schizophrenia disorder (OR = 1.54, 95% CI = 1.48-1.61, P < .001), anxiety disorder (OR = 1.45, 95% CI = 1.43-1.48, P < .001), depressive disorder (OR = 1.27, 95% CI = 1.25-1.29, P < .001), and bipolar disorder (OR = 1.27, 95% CI = 1.21-1.31, P < .001), but a reversed association with substance use disorder (OR = 0.88, 95% CI = 0.86-0.90, P < .001). CONCLUSIONS:We found associations between eye disease in children and teens and mental illness. Understanding these relationships may improve mental illness screening and treatment in the pediatric population.

IMPORTANCE:Children with strabismus have poorer functional vision and decreased quality of life than those without strabismus. OBJECTIVE:To evaluate the association between strabismus and mental illness among children. DESIGN, SETTING, AND PARTICIPANTS:This cross-sectional study analyzed claims data from the OptumLabs Data Warehouse, a longitudinal deidentified commercial insurance claims database, from 12 005 189 patients enrolled in the health plan between January 1, 2007, and December 31, 2017. Eligibility criteria included age younger than 19 years at the time of strabismus diagnosis, enrollment in the health plan between 2007 and 2018, and having at least 1 strabismus claim based on International Classification of Diseases, Ninth Revision, Clinical Modification and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Clinical Modification codes. Controls were children in the same database with no eye disease codes other than refractive error reported. Demographic characteristics and mental illness claims were compared. Statistical analysis was conducted from December 1, 2018, to July 31, 2021. MAIN OUTCOMES AND MEASURES:Presence of mental illness claims. RESULTS:Among the 12 005 189 patients (6 095 523 boys [50.8%]; mean [SD] age, 8.0 [5.9] years) in the study, adjusted odds ratios for the association of mental illnesses with strabismus were 2.01 (95% CI, 1.99-2.04) for anxiety disorder, 1.83 (95% CI, 1.76-1.90) for schizophrenia, 1.64 (95% CI, 1.59-1.70) for bipolar disorder, 1.61 (95% CI, 1.59-1.63) for depressive disorder, and 0.99 (95% CI, 0.97-1.02) for substance use disorder. There was a moderate association between each strabismus type (esotropia, exotropia, and hypertropia) and anxiety disorder, schizophrenia, bipolar disorder, and depressive disorder; odds ratios ranged from 1.23 (95% CI, 1.17-1.29) for the association between esotropia and bipolar disorder to 2.70 (95% CI, 2.66-2.74) for the association between exotropia and anxiety disorder. CONCLUSIONS AND RELEVANCE:This cross-sectional study suggests that there was a moderate association between strabismus and anxiety disorder, schizophrenia, bipolar disorder, and depressive disorder but not substance use disorder. Recognizing that these associations exist should encourage mental illness screening and treatment for patients with strabismus.

PURPOSE/OBJECTIVE:To investigate self-administered, at-home use of a perceptual learning-based video game consisting of target detection of stimuli in different sizes, spatial frequency, orientation, and contrast as a potential dichoptic therapy to improve binocular function in amblyopic patients resistant to patching. METHODS:Children (ages 8 to 18 years) with strabismic and/or anisometropic amblyopia were recruited from a single institution. All participants (n = 25) were prescribed 6 weeks of patching for 2 hours per day, and those whose visual acuity did not improve were randomized to binocular perceptual learning (n = 7), monocular perceptual learning (n = 8), or patching (n = 10) groups for 8 weeks in this prospective cohort study. After an 8-week long period of treatment cessation, during which participants stopped patching or perceptual learning, participants in the patching group were randomized to binocular or monocular perceptual learning training; those in the perceptual learning groups remained the same. Visual function was assessed by visual acuity, low contrast acuity, reading speed, stereoacuity, and binocularity; compliance was evaluated by exercise logs. RESULTS:There were no significant improvements in visual function parameters, which did not vary by treatment group. However, some visual outcomes, such as binocular summation and reading speed, correlated positively with compliance to perceptual learning therapy. CONCLUSIONS:At-home, self-administered use of this perceptual learning-based video game-based visual training does not consistently add therapeutic benefit to those with amblyopia resistant to patching. Future investigation is required to determine whether methods to increase compliance will lead to more reliable outcomes. [J Pediatr Ophthalmol Strabismus. 2020;57(3):176-184.].

IMPORTANCE:Although low-income populations have more eye problems, whether they face greater difficulty obtaining eye care appointments is unknown. OBJECTIVE:To compare rates of obtaining eye care appointments and appointment wait times for those with Medicaid vs those with private insurance. DESIGN, SETTING, AND PARTICIPANTS:In this prospective, cohort study conducted from January 1, 2017, to July 1, 2017, researchers made telephone calls to a randomly selected sample of vision care professionals in Michigan and Maryland stratified by neighborhood (urban vs rural) and professional type (ophthalmologist vs optometrist) to request the first available appointment. Appointments were sought for an adult needing a diabetic eye examination and a child requesting a routine eye examination for a failed vision screening. Researchers called each practice twice, once requesting an appointment for a patient with Medicaid and the other time for a patient with Blue Cross Blue Shield (BCBS) insurance, and asked whether the insurance was accepted and, if so, when the earliest available appointment could be scheduled. MAIN OUTCOMES AND MEASURES:Rate of successfully made appointments and mean wait time for the first available appointment. RESULTS:A total of 603 telephone calls were made to 330 eye care professionals (414 calls [68.7%] to male and 189 calls [31.3%] to female eye care professionals). The sample consisted of ophthalmologists (303 [50.2%]) and optometrists (300 [49.8%]) located in Maryland (322 [53.4%]) and Michigan (281 [46.6%]). The rates of successfully obtaining appointments among callers were 61.5% (95% CI, 56.0%-67.0%) for adults with Medicaid and 79.3% (95% CI, 74.7%-83.9%) for adults with BCBS (P < .001) and 45.4% (95% CI, 39.8%-51.0%) for children with Medicaid and 62.5% (95% CI, 57.1%-68.0%) for children with BCBS (P < .001). Mean wait time did not vary significantly between the BCBS and Medicaid groups for both adults and children. Adults with Medicaid had significantly decreased odds of receiving an appointment compared with those with BCBS (odds ratio [OR], 0.41; 95% CI, 0.28-0.59; P < .001) but had increased odds of obtaining an appointment if they were located in Michigan vs Maryland (OR, 2.40; 95% CI, 1.49-3.87; P < .001) or with an optometrist vs an ophthalmologist (OR, 1.91; 95% CI, 1.31-2.79; P < .001). Children with Medicaid had significantly decreased odds of receiving an appointment compared with those with BCBS (OR, 0.41; 95% CI, 0.28-0.60; P < .001) but had increased odds of obtaining an appointment if they were located in Michigan vs Maryland (OR, 1.68; 95% CI, 1.04-2.73; P = .03) or with an optometrist vs an ophthalmologist (OR, 8.00; 95% CI, 5.37-11.90; P < .001). CONCLUSIONS AND RELEVANCE:Callers were less successful in trying to obtain eye care appointments with Medicaid than with BCBS, suggesting a disparity in access to eye care based on insurance status, although confounding factors may have contributed to this finding. Improving access to eye care professionals for those with Medicaid may improve health outcomes and decrease health care spending in the long term.