Ophthalmic epidemiology最新文献

Purpose: Self-reported visual difficulty is consistently associated with dementia and other neuropsychiatric outcomes, but studies of specific age-related eye diseases have yielded conflicting results.

Methods: We conducted a retrospective cohort study using data from The National Health and Aging Trends Study, an ongoing nationally representative survey of older U.S. adults (n = 10,089). All subjects are screened for self-reported visual difficulty annually. Using linked Medicare claims data, we identified subjects with age-related macular degeneration (AMD), primary open-angle glaucoma (POAG), diabetic retinopathy, and cataract. For each condition, controls with complete Medicare eligibility and at least one eye care encounter were selected. We used semiparametric discrete time proportional hazards models to measure associations with incident dementia, and generalized estimating equations to examine longitudinal associations with depression, anxiety, and hallucinations, adjusting for baseline demographics and time-varying comorbidities.

Results: Self-reported visual difficulty was associated with dementia (HR 1.16, 95% CI: 1.00-1.34), depression (OR 1.14, 95% CI: 1.04-1.26), anxiety (OR 1.17, 95% CI: 1.06-1.29), and hallucinations (OR 1.54, 95% CI: 1.29-1.84). Diabetic retinopathy was associated with depression (OR 1.31, 95% CI: 1.05-1.64), and cataracts were associated with a lower risk of depression (OR 0.84, 95% CI: 0.74-0.95) and anxiety (OR 0.86, 95% CI: 0.75-0.99). There were no other associations between age-related eye disease and neuropsychiatric outcomes.

Conclusion: Self-reported visual difficulty is associated with dementia and other neuropsychiatric outcomes to a greater degree than age-related eye disease. These findings highlight the distinction between self-reported vision and clinically diagnosed eye disease with regard to health outcomes in older adults.

Purpose: Racial and ethnic minorities have a higher prevalence of diabetic retinopathy (DR) and present at advanced stages of disease. In an urban hospital population, we investigated microvascular differences in optical coherence tomography angiography (OCTA) between racial/ethnic groups while adjusting for socioeconomic status (SES).

Methods: 3 × 3 mm² macular OCTA scans were obtained for analysis of foveal avascular zone (FAZ) area, FAZ perimeter as well as superficial (SCP) and deep capillary plexus (DCP) vessel density (VD), vessel length density (VLD), and adjusted flow index (AFI). SES was measured using the Area Deprivation Index. Multivariable regression models were used to adjust estimates for relevant confounders.

Results: 217 non-diabetic and 1,809 diabetic patients were included in the study, consisting of 42.2% Hispanic, 24.9% non-Hispanic (NH) Asian, 6.8% NH Black, 9.7% NH White and 16.3% Other patients. NH White was used as the reference group. Hispanic, NH Asian, and NH Black patients had significantly greater FAZ areas and FAZ perimeters, and lower DCP VD and VLD, among both non-diabetic and diabetic patients (Benjamini-Hochberg adjusted P-values <0.05). The addition of SES scores in the models did not modify any regressions significantly.

Conclusions: In patients with and without diabetes, racial and ethnic minorities have significant retinal microvasculature differences when compared to NH White patients, regardless of SES. These differences are pronounced in DCP and may predispose racial/ethnic minorities to worse outcomes in DR, thus widening disparities in ophthalmic care.

Purpose: To describe the prevalence, incidence, and sociodemographic characterization of moderate to severe vision impairment (MSVI) and blindness in Colombia based on the National Health Registry Integrated Social Protection Information System (SISPRO) Database.

Methods: We performed a nationwide population-based study using SISPRO and the International Classification of Diseases. Total and new cases were identified to calculate the prevalence and incidence per 100,000 inhabitants of MSVI and blindness between 2015 and 2019. Blindness was defined as a best-corrected visual acuity (BCVA) of less than 20/400 in the better-seeing eye. Meanwhile, MSVI is a BCVA from 20/70 to equal or better than 20/400 in the better-seeing eye. An ANOVA test was performed to identify age differences. A conditional autoregressive model was also employed to depict standardized morbidity rate maps.

Results: From the 50 million inhabitants, the average prevalence and incidence of MSVI were 13.94 and 13.34 between 2015 and 2019, respectively, while for blindness, they were 4.03 and 3.53. Females accounted for most reported cases, and there was a notable shift towards individuals over 50 years (p < 0.001). Valle del Cauca was the region with the most cases reported and the greatest disease burden.

Conclusion: This is the first nationwide population-based study describing the prevalence, incidence, and sociodemographic characterization of blindness and MSVI in Colombia. In recent years, there has been an increased number of cases, prevalence, and incidence, with females over 50 particularly affected. This research provides insight into the country's vision impairment epidemiology landscape and contributes to formulating public health policies to improve eye health care.

Purpose: In the wake of the COVID-19 pandemic, vaccines have been pivotal in curbing disease spread and severity. However, concerns over post-vaccination adverse events, including uveitis, an inflammatory ocular condition, have been noted. This systematic review and meta-analysis aimed to evaluate the incidence and association of uveitis following COVID-19 vaccination.

Methods: A literature search was performed across several databases on October 21, 2023. Human studies examining the incidence of uveitis post-COVID-19 vaccination were included. The Newcastle-Ottawa Scale was used for quality appraisal of the included studies. Meta-analysis was performed to assess the overall incidence of uveitis and the relative risk of developing the condition post-vaccination. All statistical analyses were performed using R software version 4.3.

Results: Six studies involving over 2 billion vaccine doses were included. The overall incidence of uveitis was 0.016% (95% CI: 0.010 to 0.026). No significant association was found between vaccination and the onset of uveitis (Relative Risk: 1.45 (95% CI: 0.82 to 2.57, p = 0.12) from four studies. The evidence quality was rated very low due to the limited number of studies and imprecision.

Conclusion: This analysis indicates a low incidence of uveitis following COVID-19 vaccination and no significant association with the vaccine. The findings are constrained by the small number of studies and low certainty of evidence, underscoring the need for further research. Comprehensive and longitudinal studies are necessary to confirm these findings and reinforce public confidence in COVID-19 vaccination programs.

Purpose: This study was aimed to evaluate the agreement between the swept-source optical coherence tomography (SS-OCT)-based biometry, fundus photographs, and their combination, in comparison to the gold standard spectral-domain optical coherence tomography (SD-OCT) for the detection of center-involving diabetic macular edema (CI-DME).

Methods: We conducted a retrospective cross-sectional study involving 55 subjects (78 eyes) diagnosed with diabetic macular edema (DME) detected clinically and on SD-OCT (Carl Zeiss Meditec AG). Post-mydriatic 45-degree color fundus photograph (Crystal-Vue NFC-700), 1 mm macular scan obtained from SS-OCT-based biometry (IOL-Master 700), and macula cube scan obtained from SD-OCT was used to detect and grade DME into CI-DME and NCI-DME.

Results: Our findings revealed that SS-OCT-based biometry was noted to have a high sensitivity of 1 (0.94-1.00) and a specificity of 0.63 (0.31-0.89) in detecting CI-DME compared to the gold standard (SD-OCT). When combined with data from fundus photographs, specificity decreased to 0.32 (0.15-0.53). Fundus photographs alone exhibited a low sensitivity of 0.52 (0.38-0.64) and a specificity of 0.45 (0.16-0.76) in CI-DME detection.

Conclusion: In conclusion, SS-OCT-based biometry can be used as an effective tool for the detection of CI-DME in diabetic patients undergoing cataract surgery and can serve as a screening tool in centers without SD-OCT facilities.