GEOGRAPHIC ACCESS DISPARITIES TO CLINICAL TRIALS IN RETINOPATHY OF PREMATURITY IN THE UNITED STATES

CHARACTERISTICS OF PARTICIPANTS IN DIABETIC RETINOPATHY CLINICAL RESEARCH CLINICAL TRIALS WHO WERE LOST TO FOLLOW-UP

PURPOSE

Our study describes the racial/ethnic composition and the broad health status/severity of disease of the cohorts of Diabetic Retinopathy Clinical Research clinical trials and compares the rates of noncompletion of the trial with the first data report (lost to follow-up).

METHODS

This study is a retrospective cohort study of participants in Diabetic Retinopathy Clinical Research Retina Network clinical trials who met our inclusion criteria. The primary outcome was the lost to follow-up rates and their associated risk factors.

RESULTS

Eight clinical trials with 3,492 participants met our inclusion criteria. Participants who were lost to follow-up were more likely to be younger, Hispanic or Black, had Type 1 diabetes mellitus, had worse baseline best-corrected visual acuity, had higher hemoglobin A1c, had higher blood pressure, and had proliferative diabetic retinopathy (PDR) (Diabetic Retinopathy Severity Score >66).

CONCLUSION

Participants who were lost to follow-up during Diabetic Retinopathy Clinical Research clinical trials tended to be younger, Hispanic or Black, and had worse diabetes and hypertension. This study highlights the importance of ensuring that a representative population is maintained through the end of the study period.

Geographic and socioeconomic access disparities to Phase 3 clinical trials in ophthalmology in the United States

BACKGROUND/OBJECTIVE

To identify geographic and socioeconomic variables associated with residential proximity to Phase 3 ophthalmology clinical trial sites.

METHODS

The geographic location of clinical trial sites for Phase 3 clinical trials in ophthalmology was identified using ClinicalTrials.gov. Driving time from each United States (US) census tract centroid to nearest clinical trial site was calculated using real traffic patterns. Travel data were crosslinked to census-tract level public datasets from United States Census Bureau American Community Survey (ACS). Cross-sectional multivariable regression was used to identify associations between census-tract sociodemographic factors and driving time (>60 min) from each census tract centroid to the nearest clinical trial site.

RESULTS

There were 2330 unique clinical trial sites and 71,897 census tracts. Shortest median time was to retina sites [33.7 min (18.7, 70.1 min)]. Longest median time was to neuro-ophthalmology sites [119.8 min (48.7, 240.4 min)]. Driving >60 min was associated with rural tracts [adjusted odds ratio (aOR) 7.60; 95% CI (5.66-10.20), p < 0.0001]; Midwest [aOR 1.84(1.15-2.96), p = 0.01], South [aOR 2.57 (1.38-4.79), p < 0.01], and West [aOR 2.52 (1.52-4.17), p < 0.001] v. Northeast; and tracts with higher visual impairment [aOR 1.07 (1.03-1.10), p < 0.001)]; higher poverty levels [4th v.1st Quartile of population below poverty, aOR 2.26 (1.72-2.98), p < 0.0001]; and lower education levels [high school v. Bachelor's degree or higher aOR 1.02 (1.00-1.03), p = 0.0072].

CONCLUSIONS

There are significant geographic and socioeconomic disparities in access to ophthalmology clinical trial sites for rural, non-Northeastern, poorer, and lower education level census tracts, and for census tracts with higher levels of self-reported visual impairment.

Epidemiology of Retinopathy of Prematurity in the US From 2003 to 2019

Importance

Retinopathy of prematurity (ROP) is a potentially blinding retinal disease with poorly defined epidemiology. Understanding of which infants are most at risk for developing ROP may foster targeted detection and prevention efforts.

Objective

To identify changes in ROP incidence in the US from 2003 to 2019.

Design, Setting, and Participants

This retrospective database cohort study used the Healthcare Cost and Utilization Project Kids' Inpatient Databases. These nationwide databases are produced every 3 years, include data from over 4000 hospitals, and are designed to generate national estimates of health care trends in the US. Participants included pediatric newborns at risk for ROP development between 2003 and 2019. Data were analyzed from September 30, 2021, to January 13, 2022.

Exposures

Premature or low-birth-weight infants with relevant International Classification of Diseases, Ninth Revision or Tenth Revision codes were considered ROP candidates. Infants with ROP were identified using relevant codes.

Main Outcomes and Measures

ROP incidence in selected subpopulations (based on database-reported race and ethnicity, sex, location, income) was measured. To determine whether incidences varied across time or subpopulations, χ2 tests of independence were used.

Results

This study included 125 212 ROP discharges (64 715 male infants [51.7%]) from 23 187 683 births. The proportion of premature infants diagnosed with ROP increased from 4.4% (11 720 of 265 650) in 2003 to 8.1% (27 160 of 336 117) in 2019. Premature infants from the lowest median household income quartile had the greatest proportional increase of ROP diagnoses from 4.9% (3244 of 66 871) to 9.0% (9386 of 104 235; P < .001). Premature Black infants experienced the largest increase from 5.8% (2124 of 36 476) to 11.6% (7430 of 63 925; P < .001) relative to other groups (2.71%; 95% CI, 2.56%-2.87%; P < .001). Hispanic infants experienced the second largest increase from 4.6% (1796 of 39 106) to 8.2% (4675 of 57 298; P < .001) relative to other groups (-0.16%; 95% CI, -0.29% to -0.03%; P = .02). The Southern US experienced the greatest proportional growth of ROP diagnoses, increasing from 3.7% (3930 of 106 772) to 8.3% (11 952 of 144 013; P < .001) relative to other groups (1.61%; 95% CI, 1.51%-1.71%; P < .001). ROP diagnoses proportionally increased in urban areas and decreased in rural areas.

Conclusions and Relevance

This cohort study found that ROP incidence among premature infants increased from 2003 to 2019, especially among Black and Hispanic infants. Infants from the lowest-income areas persistently had the highest proportional incidence of ROP, and all regions experienced a significant increase in ROP incidence with the most drastic changes occurring in the South. These trends suggest that ROP is a growing problem in the US and may be disproportionately affecting historically marginalized groups.

Global Disparities in Retinopathy of Prematurity: A Literature Review

PURPOSE

To provide an overview of the impact of retinopathy of prematurity (ROP), and the challenges in the screening, diagnosis, and treatment of ROP worldwide.

METHODS

A comprehensive search was conducted using the PubMed database from January 2011 to October 2021 using the following keywords: retinopathy of prematurity, laser, and anti-vascular endothelial growth factor (VEGF). Data on patient characteristics, ROP treatment type, and recurrence rates were collected. The countries included in these studies were classified based on 2021-2022 World Bank definitions of high, upper-middle, lower-middle, and low-income groups. Moreover, a search for surgical outcomes for ROP and screening algorithms and artificial intelligence for ROP was conducted.

RESULTS

Thirty-nine studies met the inclusion criteria. ROP treatment and outcomes showed a trend towards intravitreal anti-VEGF injections as the initial treatment for ROP globally and the treatment of recurrent ROP in high-income countries. However, laser remains the treatment of choice for ROP recurrence in middle-income countries. Surgical outcomes for ROP stage 4A, 4B and 5 are similar worldwide. The incidence of ROP and ROP-related visual impairment continue to increase globally. Although telemedicine and artificial intelligence offer potential solutions to ROP screening in resource-limited areas, the current models require further optimization to reflect the global diversity of ROP patients.

CONCLUSION

ROP screening and treatment paradigms vary widely based on country income group due to disparities in resources, limited access to care, and lack of universal guidelines.

Acylcarnitines in Ophthalmology: Promising Emerging Biomarkers

Several common ocular diseases are leading causes of irreversible visual impairment. Over the last decade, various mainly untargeted metabolic studies have been performed to show that metabolic dysfunction plays an important role in the pathogenesis of ocular diseases. A number of metabolites in plasma/serum, aqueous or vitreous humor, or in tears have been found to differ between patients and controls; among them are L-carnitine and acylcarnitines, which are essential for mitochondrial fatty acid oxidation. The metabolic profile of carnitines regarding a variety of diseases has attracted researchers' interest. In this review, we present and discuss recent advances that have been made in the identification of carnitines as potential metabolic biomarkers in common ocular diseases, such as age-related macular degeneration, diabetic retinopathy, retinopathy of prematurity, central retinal vein occlusion, primary open-angle glaucoma, rhegmatogenous retinal detachment, and dry eye syndrome.

Trends in Retinopathy of Prematurity Care in the US 2009-2018: A Nationwide Analysis using National Inpatient Sample

PURPOSE

Retinopathy of prematurity (ROP) represents a leading cause of childhood blindness. The purpose of our study was to evaluate incidence, trends in cost and length of hospital stay, and risk factors for ROP using a publicly available population-based dataset, the National Inpatient Sample.

DESIGN

This cross-sectional study analyzed data from 2009 to 2018 using the National Inpatient Sample.

PARTICIPANTS

Premature neonates (n = 717 277) who met the screening criteria for ROP with gestational age of ≤ 30 weeks or birthweight (BW) of ≤ 1500 g were identified.

METHODS

Database analysis.

MAIN OUTCOME MEASURES

Incidence, demographics, risk factors for ROP development, trends in cost, and length of stay were evaluated.

RESULTS

In total, incidence of ROP increased from 11% in 2009 to 15% in 2018 (P < 0.001). Multivariate logistic regression model of ROP development showed its associations with female sex (odds ratio [OR], 1.13; 95% confidence interval [CI], 1.10-1.17), Hispanic (OR, 1.10; 95% CI, 1.03-1.18), and Black (OR, 0.91; 95% CI 0.86-0.96) ethnicity. Neonates with lower BWs, particularly those in the 500- to 999-g subgroup (OR, 2.64; 95% CI, 2.44-2.85) and younger gestational ages, particularly those born between 25 and 28 weeks gestational age (OR, 2.41; 95% CI, 2.25-2.58), had increased risk of developing ROP. Comorbidities associated with the development of ROP were perinatal jaundice (OR, 1.84; 95% CI, 1.74-1.94), patent ducts arteriosus (OR, 1.67; 95% CI, 1.60-1.75), intraventricular hemorrhage (OR, 1.41; 95% CI, 1.35-1.48), perinatal infection (OR, 1.84; 95% CI, 1.74-1.94), and respiratory distress syndrome (OR, 1.05; 95% CI, 1.01-1.10).

CONCLUSIONS

Retinopathy of prematurity develops in about 1 of 10 premature infants and incidence has been shown to be increasing. Significant risk factors were female sex, Hispanic ethnicity, lower BW, younger gestational age, and systemic comorbidities, including perinatal jaundice, patent ductus arteriosus, intraventricular hemorrhage, perinatal sepsis, and respiratory distress syndrome.

FINANCIAL DISCLOSURE(S)

Proprietary or commercial disclosure may be found after the references.

The evolving field of Big Data: understanding geographic information systems analysis and its transformative potential in ophthalmic research

PURPOSE OF REVIEW

The purpose of this review to is to highlight alternative uses of Big Data in the pursuit of ophthalmologic public health. In particular, we highlight geographic information systems (GIS) analysis as a type of Big Data, summarize various GIS methods, and enumerate sources of geographic data.

RECENT FINDINGS

The recent implementation of the IRIS Registry Data, has expanded our real-world knowledge of ophthalmology in the United States. Such innovations in Big Data allow us to better define ophthalmic diseases, treatments, and outcomes for underserved individuals and subpopulations. One underutilized source of Big Data entails use of geographic information to evaluate geographic heterogeneity and access across the United States.

SUMMARY

GIS and Big Data allow for refined epidemiologic estimates of eye disease for specific communities. In particular, how GIS can enable researchers to examine disparities in access to ophthalmic care is reviewed. GIS best practices and some data sources for GIS in ophthalmology are also summarized.

Comparative Analysis Reveals Novel Changes in Plasma Metabolites and Metabolomic Networks of Infants With Retinopathy of Prematurity

Purpose

Advances in mass spectrometry have provided new insights into the role of metabolomics in the etiology of several diseases. Studies on retinopathy of prematurity (ROP), for example, overlooked the role of metabolic alterations in disease development. We employed comprehensive metabolic profiling and gold-standard metabolic analysis to explore major metabolites and metabolic pathways, which were significantly affected in early stages of pathogenesis toward ROP.

Methods

This was a multicenter, retrospective, matched-pair, case-control study. We collected plasma from 57 ROP cases and 57 strictly matched non-ROP controls. Non-targeted ultra-high-performance liquid chromatography-tandem mass spectroscopy (UPLC-MS/MS) was used to detect the metabolites. Machine learning was employed to reveal the most affected metabolites and pathways in ROP development.

Results

Compared with non-ROP controls, we found a significant metabolic perturbation in the plasma of ROP cases, which featured an increase in the levels of lipids, nucleotides, and carbohydrate metabolites and lower levels of peptides. Machine leaning enabled us to distinguish a cluster of metabolic pathways (glycometabolism, redox homeostasis, lipid metabolism, and arginine pathway) were strongly correlated with the development of ROP. Moreover, the severity of ROP was associated with the levels of creatinine and ribitol; also, overactivity of aerobic glycolysis and lipid metabolism was noted in the metabolic profile of ROP.

Conclusions

The results suggest a strong correlation between metabolic profiling and retinal neovascularization in ROP pathogenesis. These findings provide an insight into the identification of novel metabolic biomarkers for the diagnosis and prevention of ROP, but the clinical significance requires further validation.