Ophthalmic epidemiology最新文献

Purpose: To examine the burden of blindness caused by refraction disorders (BCRD) in China over the past 30 years by year, age, and sex, and to estimate future projections.

Methods: Data from the Global Burden of Diseases (GBD) 2019 database were used to analyze the number of cases and age-standardized prevalence rates (ASPRs) of BCRD in China from 1990 to 2019. We focused on changes over time using estimated annual percentage changes (EAPCs). In addition, we performed the Nordpred analysis and the Bayesian Age-Period-Cohort (BAPC) model with integrated nested Laplace approximations to predict the BCRD burden from 2020 to 2034.

Results: The number of prevalent cases due to BCRD increased from 750,956.7 (95% uncertainty interval [UI] 636,381.24-872,040.62) in 1990 to 1,145,881.76 (95% UI 931,966.43-1,342,338.18) in 2019. The ASPRs of BCRD showed a decreasing trend, with EAPCs of -0.58 (95% confidence interval [CI] -0.81-0.36). The older and female populations had a higher BCRD burden. The number of prevalent cases due to BCRD is projected to continue to increase from 1.33 million in 2020 to 1.86 million in 2034. The ASPR also showed an increasing trend over the next 15 years.

Conclusion: Over the past three decades, the prevalence of BCRD in China has improved in both sexes and will continue to increase in the next 15 years. This study highlights the importance of prevention of BCRD, especially for women and the elderly.

Purpose: To describe refractive error findings and associated factors in students who received school-based eye exams following vision screenings.

Methods: Cross-sectional study of pre-kindergarten through 12^th grade students who failed vision screening and underwent a school-based eye exam in the Northeast region of the United States during 2016-2022. Non-cycloplegic autorefraction and visual acuity measurements were used to categorize refractive error by type and severity. Main outcomes included any refractive error (at least -0.50D myopia, +0.50 hyperopia, 1.00D astigmatism, or 1.00D anisometropia), clinically significant refractive error (CSRE; more severe refractive error with decreased vision), and refractive amblyopia risk (RAR). Multivariable mixed-effects logistic regression was used to determine student- and school-level characteristics associated with refractive error outcomes.

Results: Of 103,159 included students who failed screening, 95,875 (92.9%) were analyzed. Overall prevalence of any refractive error was 94.2%, with 81.7% having CSRE. Pre-kindergarten & kindergarten students had the highest prevalence of CSRE (85.7%), which dropped to 77.0% by 3^rd and 4^th grade before rising with each higher grade level thereafter. Prevalence of RAR was 60.9% overall and highest in pre-kindergarten and kindergarten students (73.8%). Myopia was the most prevalent refractive error, followed by astigmatism, anisometropia, then hyperopia. The odds of hyperopia, astigmatism, and anisometropia decreased with higher grade level.

Conclusion: Over 80% of students who failed vision screening at a large school-based vision program had CSRE, and over 60% had RAR. Pre-kindergarten and kindergarten students had an especially high prevalence of RAR. Refractive error remained common in every grade level.

Purpose: Identifying barriers experienced by individuals with vision difficulty (VD) in accessing healthcare is crucial to inform public health policies to provide equitable healthcare. We examined the association between VD with healthcare access measures in the United States (U.S.).

Methods: We used data on 1,258,919 participants surveyed from the 2019, 2020, and 2021 cycles of the Behavioral Risk Factor Surveillance System (BRFSS), a national telephone-based survey of U.S. adults ≥ 18 years. The following outcome of healthcare access were examined: no healthcare coverage, no healthcare provider, >1 year since last checkup, inability to afford healthcare. VD was self-reported blindness/serious difficulty seeing even when wearing glasses. Survey-weighted, multivariable logistic regression models were used to examine the relationship between VD and the outcomes of interest, adjusting for confounders.

Results: Of the 1,258,919 participants surveyed from 2019 to 2021, 5.1% reported having VD. Adjusted models showed that adults with VD had greater odds of having no healthcare coverage (OR = 1.14, 95% CI = 1.04-1.24), no provider (OR = 1.12; 95% CI = 1.05-1.20), a health checkup > 1 year ago (OR = 1.12; 95% CI = 1.04-1.21), and of being unable to afford care (OR = 1.62, 95% CI = 1.52-1.73).

Conclusion: Adults reporting VD faced more barriers accessing healthcare. These disparities could be explained by a differential distribution of social determinants of health, lack of accessibility of medical facilities and communication barriers. Policies aimed at strengthening provisions around accessibility of healthcare facilities might result in increased access to healthcare for this population.

Purpose: To investigate whether there is a direct, age-independent association between telomere length and visual acuity decline in a large community-based cohort study.

Methods: Participants older than 40 with linked leukocyte telomere length (LTL) were enrolled in NHANES. LTL was assayed using qPCR from the participants' blood samples. Best corrected visual acuity (BCVA) of the better-seeing eye was analyzed, with visual impairment (VI) defined as BCVA ≥ 20/40. LTL was grouped into quartiles, and its association with BCVA and VI was evaluated after adjusting for covariates.

Results: Among the 4,480 enrolled participants, the weighted means of age, BCVA, and telomere length were 56.1 ± 11.9 years, 0.05 ± 0.08 logMAR, and 5,662 ± 36 base pairs, respectively. The proportion of VI was 2.6%. After adjusting for covariates including sex, ethnicity, education, family poverty income ratio, general health status, hypertension, diabetes, smoking, and body mass index, BCVA was significantly worse in participants with shorter LTL, with a significant trend (p = 0.002). However, after further adjusting for age, the association between LTL and BCVA was no longer significant, without a trend (p = 0.640). No significant association or trend between LTL and VI was found in the stepwise logistic model.

Conclusions: No age-independent association between LTL and BCVA was found. Our study indicates LTL may not serve as a biomarker for age-related visual acuity decline.

Purpose: To evaluate the 15 year incidence and progression of Diabetic Retinopathy (DR) and identify risk factors among Indian population.Methods: From a cross-sectional study of 1425 subjects, 911 participants took part in the 4-year follow-up. Out of these 911 participants, 140 returned for the 15-year follow-up, with baseline examinations conducted between 2003 and 2006, and subsequent follow-ups occurring from 2007 to 2011 and the current 15-year follow-up from 2018 to 2021. Of the 140 participants, 112 were eligible for analysis after excluding individuals with ungradable fundus photographs.Results: The 15-year incidence of any diabetic retinopathy (DR) was 5%, with mild NPDR and moderate NPDR at 1.57% and 2.7%, respectively. Proliferative DR was observed in 0.71% of cases, while diabetic macular edema (DME) and sight-threatening diabetic retinopathy (STDR) rates were 0.48% and 1.10%, respectively. Age-standardized rates revealed a significant association with increasing age and incident any DR and STDR. DR progression over 15 years included 7.5% one-step and 1.75% two-step progressions, while regression was limited to 1.75% one-step regression. Multiple logistic regression analyses revealed that baseline duration of diabetes, systolic blood pressure, HbA1c levels, and the presence of anemia influenced the incidence of any DR, DME, and STDR. Smoking and higher HbA1c were identified as risk factors for one-step progression of DR.Conclusion: This study provides crucial insights into the long-term incidence, progression, and regression of DR among individuals with Type 2 diabetes in India.

Purpose: To investigate economic inequality in age-related macular degeneration (AMD) and decompose it into its determinants using Oaxaca-Blinder decomposition (OBD).

Methods: The Tehran Geriatric Eye Study was a cross-sectional study conducted on individuals aged 60 years and older, utilizing stratified random cluster sampling. Each participant received a comprehensive optometric, and slit-lamp examination. Diagnosis and classification of AMD were conducted utilizing fundus camera images.

Results: The data of the 3268 participants were analyzed. According to OBD, a significant difference was found in AMD between the rich and poor groups (8.36%) disfavoring the poor (p < 0.001). The explained and unexplained portions comprised 93.37% and 6.63% of the difference (p < 0.001 and p = 0.405, respectively). Among study variables, age (coefficient = 4.70; p < 0.001), economic status (coefficient = 3.58; p = 0.004), and myopia (coefficient = 0.73; p = 0.001) were significant determinants of inequality in the explained portion.

Conclusion: A significant disparity in the prevalence of AMD was observed between individuals of different socioeconomic statuses, primarily attributed to the explained factors. Factors such as age, economic status, and myopia were found to have the most substantial impact in exacerbating the inequality that disadvantaged the poor group (contributing percentages: 52.17%, 39.73%, and 8.10%, respectively). The findings of this research can be valuable for health policymakers in prioritizing and addressing the determinants of inequality within the population.

Purpose: The Area Deprivation Index (ADI) is a quantitative measurement of neighborhood socioeconomic disadvantage used to identify high-risk communities. The distribution of physicians with respect to ADI can indicate decreased healthcare access in deprived neighborhoods. This study applies ADI to the distribution of ophthalmologists and demonstrates how practice patterns in the national Medicare Part D program may vary with ADI.

Methods: The Centers for Medicare and Medicaid Services Data "Medicare Part D Prescribers by Provider" data for 2021 was analyzed. Geocodio identified ADIs corresponding to the practice addresses listed in the dataset. The national rank ADIs were compared against the number of ophthalmologists. Spearman's correlation test and one-way ANOVA determined statistically significant differences in Medicare data extracted between quintiles of ADI ranks.

Results: We identified 14,668 ophthalmologists who provided care to Medicare beneficiaries. Each time ADI increased by 10, there was an average 9.4% decrease in ophthalmologists (p < 0.001). The distribution of ophthalmologists practicing throughout the United States by increasing ADI quintile are: 32%, 23%, 19%, 16%, and 9%. Providers practicing in neighborhoods in the first-ADI quintile were more likely to see Medicare beneficiaries compared to providers in the fifth-ADI quintile (p < 0.001).

Conclusion: The lack of ophthalmologists in high-ADI areas results in reduced eye care access in deprived neighborhoods. Many factors contribute to these disparities including limited access to metropolitan areas/academic institutions and fewer residency programs. Future programs and policies should focus efforts on creating an even distribution of ophthalmologists across the United States and improving access to eye care.

Purpose: To investigate racial and ethnic inequalities in prescription of Netarsudil, one of two anti-glaucoma medications with a novel mechanism to be introduced in the past two decades, among patients with primary open-angle glaucoma.

Methods: This retrospective cohort matched study, based on electronic health records consisting of 92 million patients in the U.S, utilized Propensity Score Match, Relative Risk, Kaplan-Meier survival, and Chi-Square analysis to identify differences in rates of Netarsudil prescribing between racial and ethnic groups (non-Hispanic White, non-Hispanic Black, non-Hispanic Other Race, and Hispanic).

Results: Among the sample of patients that met Primary Open-Angle Glaucoma inclusion criteria (55,942), more White patients were prescribed Netarsudil than Black; (RR:1.24, 95% CI: 1.15-1.34) and Hispanic; (RR:1.63, 95% CI: 1.29-2.07) patients. White patients had higher prescription rates than Black patients in the Midwest (6.5% vs 4.2%; p < 0.0001) and West (11.2% vs 7.1%; p = 0.0002), higher rates than Hispanic patients in the South (4.9% vs. 2.0%; p < 0.0001) and West (11.2% vs. 7.8%; p < 0.008), but lower rates than Black patients in the Northeast (7.2% vs. 13.2%; p < 0.0001).

Conclusions: Differences in Netarsudil prescription rates within the United States exist between White and Black patients, and White and Hispanic patients. These differences exist when stratified by regions within the U.S. by varying degrees. Future studies are needed to investigate factors contributing to disparities in accessing new medications and to identify ways to eliminate such barriers to improve equity in care of glaucoma patients, especially among those historically disadvantaged.

Purpose: Keratoconus is a progressive, asymmetrical corneal ectasia with multifactorial origin. Three identified risk factors for keratoconus include exposure to ultraviolet (UV) rays, eye rubbing, and atopy. Other factors like pollution would play a role in the physiopathology of keratoconus. In this study we investigate the effects of particles matter (PM) of 2.5 and 10 μm, but also nitrogen dioxide (NO₂) and the correlation with the prevalence in the scientific literature.

Method: A literature review was performed using four databases (PubMed, Research gate, Google scholar and International Journal of Keratoconus and Ectatic Corneal Diseases) according to strict selection criteria. Levels of fine particles and nitrogen dioxide were extracted from available World Health Organization (WHO) databases and correlated with prevalences from epidemiological studies.

Results: The mean pollution rate in the selected studies was 26.88 ± 25.26 μg/m³ for PM_2.5 , 58.23 ± 60.98 μg/m³ for PM₁₀ and 24.79 ± 12.58 μg/m³ for NO₂. Pearson correlation tests revealed a significant positive correlation between prevalence of keratoconus with particles rate of PM_2.5 (R = 0.58; p < 0.001), PM₁₀ (R = 0.67; p < 0.001) and NO₂ (R = 0.64; p = 0.00016).

Conclusion: Fine particles appear to be a risk factor for keratoconus. These pollutants may act indirectly by exacerbating known risk factors such as atopy and eye rubbing. Atmospheric pollution may also have a direct effect on the cornea, by disturbing the structure of the epithelium and increasing cell apoptosis.