Prevalence and causes of vision loss in China from 1990 to 2019: findings from the Global Burden of Disease Study 2019

Trends in prevalence and disability-adjusted life years for refractive disorders in China and globally from 1990 to 2021: an analysis of the Global Burden of Disease Study 2021

Objectives

This study aimed to describe the temporal trends in the prevalence and disability-adjusted life years (DALYs) of refractive disorders (RD) in China and globally from 1990 to 2021 and provide predictions in China for the next decade.

Methods

Utilizing open data from the Global Burden of Disease database (2021), this study conducted a comprehensive comparative analysis of the RD burden in China and globally, including changes in prevalence and DALYs. Joinpoint regression was employed to calculate the annual percentage change, the average annual percentage change, and its corresponding 95% confidence interval to reflect segmented trends in RD burden. The APC model was used to assess the net effects of age, period, and cohort. The ARIMA model was applied to predict future trends.

Results

The temporal trend of the health burden of RD in China aligned with the global trend, though the magnitude of change was greater, and the gap between the two had been narrowing recently. In China, the age-standardized DALYs rate for the total population (per 100,000 population) decreased from 74 in 1990 to 66 in 2021 and was projected to fall to 29.43 by 2031. The age-standardized prevalence rate for the total population (per 100,000 population) was expected to decrease to 411.23 by 2031, down from 1568 in 1990 to 1468 in 2021. However, the number of cases and the crude rates of prevalence and DALYs exhibited upward trends. In terms of age-specific rates, older adults exhibited higher prevalence and DALYs rates than younger adults. Regarding gender stratification, females had higher prevalence and DALYs rates than males.

Conclusion

The age-standardized rates of prevalence and DALYs for RD have decreased in recent years and may continue to decline over the next decade. However, the crude rates of prevalence and DALYs are on the rise. The health burden of RD remains substantial, with females and the older population bearing a higher burden than males and younger populations.

Global, regional, and national burden of blindness and vision loss attributable to smoking from 1990 to 2021, and forecasts to 2030: findings from the Global Burden of Disease Study 2021

OBJECTIVE

This study aims to systematically elucidate the burden of blindness and vision loss (BVL) attributable to smoking from 1990 to 2021 and to forecast the trends in BVL burden over the next decade.

METHODS

We extracted data on years lived with disability (YLDs) and age-standardized YLDs rate (ASYR) related to blindness and vision loss (BVL) caused by smoking, including cataracts and age-related macular degeneration (AMD), from the Global Burden of Disease (GBD) database for the years 1990 to 2021. These data were disaggregated by age, gender, sociodemographic index (SDI), region, and country. Temporal trends in the burden of smoking-induced BVL were evaluated by calculating the average annual percentage changes (AAPCs).

RESULTS

BVL attributable to smoking presents a significant disease burden, with global BVL-related YLDs attributable to smoking increasing from 1990 to 2021, while ASYR showed a declining trend. In 2021, the global BVL-related YLDs and ASYR attributable to smoking were estimated at 284.03 thousand and 3.27 per 100,000 population. The ASYR for cataract and AMD are 2.60 and 0.68 per 100,000, respectively. The burden was notably higher in males than females, highlighting significant gender disparities. Regionally, the highest burdens were observed in South Asia, Southeast Asia, and North Africa. It is expected that the number of global BVL-related YLDs will increase further by 2030.

CONCLUSION

Smoking has imposed a substantial disease burden on BVL over the past three decades. The burden is predominantly concentrated among males, particularly older individuals and those in low to middle-SDI regions. Moreover, the burden of smoking-induced BVL is expected to continue improving over the next decade.

Diabetes in China: epidemiology, pathophysiology and multi-omics

Although diabetes is now a global epidemic, China has the highest number of affected people, presenting profound public health and socioeconomic challenges. In China, rapid ecological and lifestyle shifts have dramatically altered diabetes epidemiology and risk factors. In this Review, we summarize the epidemiological trends and the impact of traditional and emerging risk factors on Chinese diabetes prevalence. We also explore recent genetic, metagenomic and metabolomic studies of diabetes in Chinese, highlighting their role in pathogenesis and clinical management. Although heterogeneity across these multidimensional areas poses major analytic challenges in classifying patterns or features, they have also provided an opportunity to increase the accuracy and specificity of diagnosis for personalized treatment and prevention. National strategies and ongoing research are essential for improving diabetes detection, prevention and control, and for personalizing care to alleviate societal impacts and maintain quality of life.

Global burden of low vision and blindness due to age-related macular degeneration from 1990 to 2021 and projections for 2050

BACKGROUND

Age-related macular degeneration (AMD) is a leading cause of blindness and low vision worldwide. This study examines the global burden and trends in AMD-related low vision and blindness from 1990 to 2021, with projections through 2050.

METHODS

Data were obtained from the 2021 Global Burden of Disease (GBD 2021) study, covering 204 countries and regions. Key metrics, including the prevalent case numbers, annual disability-adjusted life years (DALYs), age-standardized prevalence rates (ASPR), and age-standardized DALY rates (ASDALYR), specific to low vision and blindness due to AMD, were calculated per 100,000 population. Trend analysis used the estimated annual percentage change (EAPC) method, and K-means clustering identified regions with similar burdens and trends. Autoregressive Integrated Moving Average(ARIMA) and Exponential Smoothing(ES) models provided future projections.

RESULTS

Globally, the total number of prevalent cases and DALYs has substantially increased. The number of prevalent cases of low vision and blindness due to AMD increased from 3,640,180 (95% UI: 3,037,098 - 4,353,902) in 1990 to 8,057,521 (95% UI: 6,705,284-9,823,238) in 2021. DALYs increased from 302,902 (95% UI: 206,475 - 421,952) in 1990 to 578,020 (95% UI: 401,241-797,570) in 2021. From 1990 to 2021, both the ASPR and ASDALYR for AMD-related low vision and blindness showed a downward trend. The ASPR was 94 (95% UI: 78.32-114.42) per 100,000 population, with an EAPC of -0.26 (95% CI: -0.31 to -0.22), and the ASDALYR was 6.78 (95% UI: 4.7-9.32) per 100,000 population, with an EAPC of -0.94 (95% CI: -1.01 to -0.88). The disease burden of AMD-related low vision and blindness increases with age, and the burden for female patients is slightly higher than for males. Regional stratification by the Socio-Demographic Index (SDI) shows that the burden of AMD-related low vision and blindness in areas with low SDI is higher than in areas with high SDI. From 1990 to 2021, notable increases in ASPR and ASDALYR were observed mainly in the southern and central regions of sub-Saharan Africa. Moreover, the increases in prevalence and DALYs vary by region, country, and level of socioeconomic development. The ARIMA model predicts that by 2050, the number of prevalent cases of low vision and blindness due to AMD will reach 13,880,610(95% CI: 9,805,575-17,955,645), and the DALYs will be 764,731(95% CI: 683,535-845,926). The ES model predicts that by 2050, the number of prevalent cases of AMD-related low vision and blindness will reach 9,323,124(95% CI: 5,222,474-13,423,774), and the DALYs will be 641,451 (95% CI: 383,588-899,318).

CONCLUSION

This study indicates that between 1990 and 2021, the global prevalent cases and DALYs caused by AMD-related low vision and blindness have increased over the past three decades, correlating with factors such as age, gender, socioeconomic status, and geographical location. Predictive models indicate that as the population ages, the number of patients with low vision and blindness due to AMD, along with associated DALYs, will continue to rise. By 2050, it is expected that over 9 million people worldwide will be affected by AMD-related vision loss, with women being particularly impacted. These findings can provide data support for public health planning, resource allocation, and the formulation of medical policies, ensuring an effective response to the challenges posed by the future increase in AMD-related low vision and blindness.

Elevated serum uric acid levels mediate the associations of ambient PM2.5 and its components with glaucoma

Limited epidemiological information exists on the relationships between fine particulate matter (PM2.5) components and glaucoma risk. Moreover, the potential mediation effect of serum uric acid (UA) levels remains unexplored. Data from the China Health and Retirement Longitudinal Survey (CHARLS) spanning 2011-2020 were analyzed. Cox proportional hazard models and quantile-based g-computation (qg-computation) models were applied to determine the associations of PM2.5 and its five components (including sulfate [SO₄2⁻], nitrate [NO₃⁻], ammonium [NH₄⁺], organic matter [OM], and black carbon [BC]) with glaucoma risk. A causal mediation model was applied to assess the mediation effect of serum UA. Individual exposure to PM2.5 mass and its five components was positively associated with glaucoma risk, respectively. The mixture of PM2.5 components were significantly and positively associated with glaucoma risk (hazard ratio [HR] = 1.31, 95% confidence interval [CI]: 1.18-1.45), with NH₄⁺ and BC contributing the most (proportions: 81% and 19%, respectively). These associations were modified by sex and residence. Elevated serum UA levels played a mediated role in the association between PM2.5 mass and its five chemical components and glaucoma, with mediated proportions ranging from 12% to 15%. Prolonged exposure to PM2.5 components, especially NH4+ and BC, may elevate the glaucoma risk among Chinese middle-aged and older people, and elevated serum UA levels may play a key mediating role.

Residential greenness, air pollution and visual impairment: a prospective cohort study

OBJECTIVE

The aim of this study was to investigate the associations between residential greenness, air pollution (PM2.5, PM10, and NO2), and the risk of visual impairment in Chinese middle-aged and elderly adults.

METHODS

The data were used from the China Health and Retirement Longitudinal Study (CHARLS), focusing on adults aged 45 years and older. Exposure to residential greenness was assessed using the Normalized Difference Vegetation Index (NDVI), while air pollution exposure (PM2.5, PM10, and NO2) was estimated from the ChinaHighAirPollutants dataset. Visual impairment was self-reported and categorized as distance visual impairment (DVI) and near visual impairment (NVI). Cox proportional hazards models were applied to investigate the associations between residential greenness, air pollution, and visual impairment. Furthermore, we investigated the potential modification and mediation relationship between residential greenness, air pollution and visual impairment.

RESULTS

A total of 9,591 participants were included in this study. During a 7-year period, 2,650 cases of DVI and 3,130 cases of NVI were identified. In the single exposure model, a higher level of residential greenness was associated with a significantly reduced risk of both DVI and NVI. Specifically, for every 0.1 unit increase in NDVI, the hazard ratio (HR) was 0.68 (95%CI: 0.65,0.71) for DVI, and 0.67 (95%CI: 0.64,0.69) for NVI. Conversely, exposure to air pollution was positively associated with increased risks for both DVI and NVI. For each 10 µg/m3 increase in PM2.5, the HR was 1.60 (95%CI: 1.56,1.65) for DVI and 1.64 (95%CI: 1.60,1.69) for NVI. Similarly, PM10 and NO2 exposure showed elevated risks with HR of 1.28 (95%CI: 1.27,1.30) and 1.73 (95%CI: 1.62,1.85) for DVI, and 1.30 (95%CI: 1.28,1.32) and 1.82 (95%CI: 1.72,1.94) for NVI, respectively. The multiple exposure model also showed significant association between residential greenness, air pollution and visual impairment risk. Additionally, the adverse effects of PM2.5, PM10, and NO2 were attenuated in areas with the highest levels of residential greenness. Mediation analysis revealed that air pollution mediated a significant portion of the association between residential greenness and visual impairment.

CONCLUSION

This study suggests that increased residential greenness may reduce the risk of visual impairment, partially by mitigating air pollution exposure. These findings highlight the environmental benefits to improve air quality and enhance green spaces, thereby promoting visual health in aging populations.

Anxiety and depression in Chinese cataract patients: a network analysis

BACKGROUND

Prior research has demonstrated that people with cataracts are more likely to experience anxiety and depression co-occurring when the condition advances to a degree that impairs vision beyond its physiological effects. According to network theory, there is a connection between the interplay of anxiety and depression and the genesis of comorbidity. Using a network viewpoint, our study examined the network properties of anxiety-depression in cataract patients to pinpoint central and bridge symptoms as well as possible intervention targets for more focused and successful therapies.

METHOD

A total of 1,254 cataract patients were enrolled in our study. The Nine-item Patient Health Questionnaire (PHQ-9) and the Seven-item Generalized Anxiety Disorder scale (GAD-7) were used to measure depression and anxiety symptoms, respectively. The R 4.3.3 software was utilized for network model building and descriptive statistics. Furthermore, we displayed a "Thoughts of death" flow network.

RESULT

In the network, A5 "Restlessness"- D7 "Concentration difficulties" showed the strongest edge. A2 "Uncontrollable worry" and D2 "Depressed or sad mood" could be identified as the central symptoms. A7 "Afraid something will happen" and D7 "Concentration difficulties" could be identified as bridge symptoms. The strongest edge in the flow network was D9 "Thoughts of death"-D6 "Feeling of worthlessness".

CONCLUSION

"Uncontrollable worry", "Depressed or sad mood", "Afraid something will happen" and "Concentration difficulties" could be potential targets for the prevention of anxiety and depression in cataract patients. Furthermore, this study emphasizes how important it is to prevent suicide in cataract patients, and the symptom "Feeling of worthlessness" can be used as an effective target.

National-wide survey of ophthalmic human resources in China in 2021

PURPOSE

To evaluate the availability of human resources for ophthalmic services in mainland China.

METHODS

In 2021, we conducted a nationwide survey of ophthalmic outpatient services across 2996 tertiary hospitals and 10,404 secondary hospitals in 31 provinces in mainland China.

RESULTS

The response rate was 73.6% (9856/13400), with 78.7% (7759/9856) providing ophthalmic services. By 2021, the total number of ophthalmologists, ophthalmic nurses, and optometrists was 48,652, 64,495, and 14,320, respectively. The densities (per 50,000 population) were 1.7, 2.25, and 0.47, respectively. The density of ophthalmologists was < 1 only in the XiZang region. The average doctor-patient ratio was 2584.8. In Shanghai and Zhejiang provinces, this ratio exceeded 4000.

CONCLUSION

There are currently 1.7 ophthalmologists, 2.25 nurses, and 0.47 optometrists for every 50,000 people in China. The number of ophthalmologists has reached the global average, but the number of optometrists is far below the global average. And the medical pressure across China is uneven, with some provinces such as Shanghai and Zhejiang facing enormous pressure.

The Trends in Prevalence of Blindness Caused by Refraction Disorders in China from 1990 to 2019 and Its Predictions: Findings from the Global Burden of Disease Study 2019

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.

Trends in the prevalence and burden of blindness and vision loss among adolescents aged 10-24 years in the Western Pacific Region over 30 years

BACKGROUND

This study aimed to understand the vision health status of adolescents in the Western Pacific Region (WPR) using Global Burden of Disease (GBD) data from 1990 to 2019.

METHODS

We conducted a comprehensive analysis of blindness and vision loss using GBD data from 1990 to 2019, analyzed trends in the prevalence and burden of blindness and vision loss over time using joinpoint regression, and analyzed their independent effects on blindness and vision loss in three dimensions using age-period-cohort (APC) modeling.

RESULTS

The prevalence of blindness and vision loss among adolescents in the WPR showed an increasing trend between 1990 and 2019 (AAPC: 0.56%) and a slight increase in YLD (AAPC: 0.11%). The joinpoint regression showed a decreasing trend after 2017 (AAPC: -2.45%). The prevalence and burden trended downward in most Western Pacific countries, with only China rising significantly (AAPC prevalence: 0.57%). Refractive disorders had the highest prevalence among the subgroups. The risk of blindness and vision loss in adolescents reduced with age but grew later in time and at later birth. In addition, prevalence and burden were generally higher in females than males.

CONCLUSIONS

In the context of a declining global trend in the prevalence and burden of blindness and vision loss among adolescents, there is an increasing trend among adolescents in WPR, with the most pronounced rise in China. This finding has important implications for WPR, suggesting that more attention should be given to adolescent eye health in the region.

Exploring the Relationship Between Refractive Errors and Common Chronic Diseases Via Blood Biochemistry Tests: A Large Prospective Cohort Study

Purpose

The purpose of this study was to examine the association between refractive errors and common chronic diseases using blood biochemistry tests, and to investigate the associated modifiable risk factors, with the goal of informing and developing effective preventive strategies.

Methods

A total of 116,245 participants with refractometry at baseline enrolled in the UK Biobank were included in this prospective cohort study. Restricted cubic spline and Cox proportional hazards models were used to detect associations between refractive error, blood biochemistry tests, and common chronic diseases. Interaction effects on the additive scale and effect modification analysis were used to explore excess modifiable risk factors for disease prevention.

Results

Spherical equivalent significantly associated with vitamin D, sex hormone binding globulin, apolipoprotein A, blood glucose, and aspartate aminotransferase levels. Subjects with myopia demonstrated a 13% higher risk of type 2 diabetes mellitus (T2DM) incidence compared to those without myopia (hazard ratio [HR] = 1.13, 95% confidence interval [CI] = 1.08-1.19) throughout a median follow-up of 9.12 years. Interaction analysis revealed 15% (95% CI = 9%-21%) of this risk was due to myopia-obesity interaction. However, active engagement in physical activity could potentially mitigate this risk (HR = 1.06, 95% CI = 0.93-1.20).

Conclusions

Refractive errors were associated with specific blood indicators, particularly noting the association between myopia and higher T2DM incidence in middle-aged and elderly populations. This effect interacts with obesity, and promoting physical activity among myopia individuals provides greater benefits in the prevention of T2DM compared to non-myopic individuals.

Neuropsychological and psychiatric outcomes among community-dwelling young Chinese older adults affected by falls in the past year with and without vision impairment

OBJECTIVE

This study was to investigate the differences between young older adults with and without vision impairment on neuropsychological and psychiatric outcomes following falls during the past year and to identify predictors of cognitive decline or mental distress.

METHODS

A secondary analysis of 668 young older Chinese adults aged 65 ∼ 79 years old with a history of falls was conducted from the cross-sectional survey data in the 2018 wave of the Chinese Longitudinal Health Longevity Survey (CLHLS).

RESULTS

Participants with vision impairment scored significantly higher on anxiety and depression and lower on cognitive function and SWB than those without vision impairment. And vision impairment was a significant predictor of adverse outcomes for all four neuropsychological and psychiatric measures.

CONCLUSION

Neurocognitive deficits, psychological problems, and decreased self-sufficiency are quite common among community-dwelling older adults with visual impairment who have a history of falls within a year.

Cigarette smoke extract induces ferroptosis in human retinal pigment epithelial cells

Background

Age-related macular degeneration (AMD) is a common blindness diseases. Retinal pigment epithelium (RPE) dysfunction due to smoking is an essential environmental factor in the pathogenesis of AMD. Ferroptosis is a novel type of iron-dependent programmed cell death (PCD). However, the relationship between cigarette smoke extract (CSE)-induced RPE damage and ferroptosis remains unclear.

Methods

In our study, we extracted CSE using a modified device to explore the optimal concentration of CSE, and observed the expression of proteins and molecules after CSE exposure for ARPE-19 cells by protein immunoblotting and assay kits for iron ions and mitochondrial membrane potential (MMP). At the same time, CSE was injected into the vitreous cavity of mice with a microsyringe for AMD modeling to observe the morphology of the retina-RPE-choroid complex and the differences expression of proteins. In addition, the protective effects of ferroptosis inhibitors on CSE-induced RPE cell damage were also investigated by in vivo and in vitro experiments.

Results

In this study, we observed that CSE induced cellular damage in a human retinal pigment epithelial cell line (ARPE-19), resulting in ferrous ion (Fe2+) accumulation, an increas in reactive oxygen species (ROS) and lipid peroxidation (LP), a reduction in GSH levels, and the inhibition of Gpx4 expression. In addition, transmission electron microscopy (TEM) of in vivo and in vitro samples showed that after exposure to CSE, the mitochondria of RPE cells were wrinkled, the membrane density was increased, and the number of cristae decreased or cristae were not observed.

Conclusions

The results of this study indicate that the ferroptosis inhibitors ferrostatin-1 (Fer-1) and liproxstatin-1 (Lip-1) protect RPE cells from CSE-induced ferroptosis, and this evidence paves the way for AMD studies.

Using Four Machine Learning Methods to Analyze the Association Between Polycyclic Aromatic Hydrocarbons and Visual Impairment in American Adults: Evidence from NHANES

The causes of visual impairment are complex and may be influenced by exposure to environmental pollutants. Using data from the 2003-2004 National Health and Nutrition Examination Survey (NHANES), we examined the association between exposure to ten polycyclic aromatic hydrocarbons (PAHs) and vision problems in 1149 U.S. adults. We employed various supervised learning methods, including variable selection techniques such as Lasso and elastic net, weighted quantile sum regression (WQS), and Bayesian kernel machine regression (BKMR), to assess the association between PAHs and the occurrence of visual impairments. The mediation effects between urinary 2-fluorene and inflammation were evaluated using mediation analysis. Both the lasso and elastic net models consistently identified two specific PAH congeners, 2-fluorene and 1-phenanthrene, as significant predictors. The WQS regression revealed a positive relationship between the PAH mixture and visual impairment, with notable contributions from urinary 2-fluorene (weight = 0.39) and 9-fluorene (weight = 0.21). BKMR analysis indicated that the likelihood of visual impairment increases with higher PAH exposure, showing a general upward trend. This trend also revealed a positive association between visual impairment and exposure to four specific PAH metabolites, including 2-fluorene. A significant mediation effect was observed for alkaline phosphatase (p = 0.03), with a proportion mediated of 10.48%. Our findings suggest a significant association between PAHs and visual impairment, with multiple statistical models consistently emphasizing the crucial role of 2-fluorene exposure. This study highlights the importance of considering environmental pollutants as significant contributors to visual health outcomes, providing insights for preventing visual impairment.

Correlations among parameters of pentacam, iTrace, and LOCS III in assessing lens opacity

OBJECTIVES

To investigate the diagnostic value of iTrace visual function analyzer, Pentacam 3D anterior segment analysis system and Lens Opacities Classification System III (LOCS III) in assessing lens opacity in patients with age-related cataract (ARC).

METHODS

A total of 129 patients with ARC admitted to Anonymized from May 2019 to April 2021 were selected as the research objects. The degree of lens opacity was evaluated by LOCS III classification, iTrace and anterior segment analysis.

RESULTS

The Pentacam nucleus staging (PNS) grade was strongly correlated with nuclear color (NC) (r = 0.537, p < 0.05) and moderately correlated with nuclear opalescence (NO) (r = 0.473, p < 0.05). The integrated density (IntDen) in 3-mm nuclear region was strongly correlated with NC (r = 0.548, p < 0.05) and NO (r = 0.539, p < 0.05). The dysfunctional lens index (DLI) in 3-mm area was negatively correlated with NC (r=-0.252, p < 0.05), NO (r=-0.239, p < 0.05) and posterior subcapsular cataract (r=-0.271, p < 0.05). PNS was weakly negatively correlated with the DLI in 3-mm area (r=-0.219, p < 0.05), and IntDen in 3-mm core area was weakly negatively correlated with the DLI in 3-mm area (r=-0.291, p < 0.05).

CONCLUSION

A combination of iTrace, anterior segment analysis and LOCS III may be beneficial in objectively assessing the opacity of different regions of the lens.

Transition and trend analysis of the burden of depression in China and different income countries: Based on GBD database and joinpoint regression model

BACKGROUND

Depression is a leading cause of disability and poor health worldwide and is expected to rank first worldwide by 2030. The aim of this study is to analyze the transition and trend of depression burden in China and various income-level countries by utilizing the Global Burden of Disease (GBD) database and the Joinpoint regression model. This analysis seeks to comprehend the variations in the burden of depression across different income regions and evaluate their developmental patterns.

METHODS

Based on the GBD 2019 open dataset, this study extracted data on YLD (Years Lived with Disability), DALY (Disability-Adjusted Life Years), and incidence related to depression. The analysis focused on the period between 1990 and 2019, covering global data and distinguishing between high-income, upper-middle-income, lower-middle-income, low-income countries, and China. We utilized the Joinpoint regression model to fit the spatiotemporal trend changes among different income-level countries. Pairwise comparisons were conducted to examine the parallelism and to determine if the differences in trend changes among various regions were statistically significant.

RESULTS

From 1990 to 2019, the age-standardized YLD and DALY for depression female were higher than that in male. The YLD total change rate of depression men was higher than that of women. China exhibited the largest disparity in total YLD change rates between genders, reaching 0.08. During 1990 to 2019, the incidence of depression in 2005-2019 increased among females in middle to high-income countries, low-income countries, and China as compare to that of 1990-2005. Notably, China shown the most increase the incidence rate of females (from -0.4 % to 0.84 %). China experienced the most significant change in the YLD of depression during this period (AAPC = 0.45, 95 % CI = 0.41, 0.48, P < 0.01). China's YLD/Incidence rate was higher compared to the global, HICs, UMCs, LMCs, and LICs. In China, the YLD/incidence rate of depression began to rise in 1994, peaking around 2010, and then gradually declining. Since 2010, the growth rate of depression DALYs in China has been higher than the global average, high-income countries, upper-middle-income countries, lower-middle-income countries, and low-income countries. The DALY's AAPC value for the HLCs was the highest (AAPC = 0.24, 95 % CI = 0.22, 0.25, P < 0.01). The UMCs, in comparison to other regions, incidence rate had the highest AAPC value (AAPC = 0.48, 95 % CI = 0.46, 0.50, P < 0.01).

CONCLUSIONS

Given the significant variations in the burden of depression across countries with different income levels, future strategies aimed at reducing the burden of depression should adopt tailored and differentiated approaches according to each country's specific needs and developmental stages.

Development and evaluation of a large language model of ophthalmology in Chinese

BACKGROUND

Large language models (LLMs), such as ChatGPT, have considerable implications for various medical applications. However, ChatGPT's training primarily draws from English-centric internet data and is not tailored explicitly to the medical domain. Thus, an ophthalmic LLM in Chinese is clinically essential for both healthcare providers and patients in mainland China.

METHODS

We developed an LLM of ophthalmology (MOPH) using Chinese corpora and evaluated its performance in three clinical scenarios: ophthalmic board exams in Chinese, answering evidence-based medicine-oriented ophthalmic questions and diagnostic accuracy for clinical vignettes. Additionally, we compared MOPH's performance to that of human doctors.

RESULTS

In the ophthalmic exam, MOPH's average score closely aligned with the mean score of trainees (64.7 (range 62-68) vs 66.2 (range 50-92), p=0.817), but achieving a score above 60 in all seven mock exams. In answering ophthalmic questions, MOPH demonstrated an adherence of 83.3% (25/30) of responses following Chinese guidelines (Likert scale 4-5). Only 6.7% (2/30, Likert scale 1-2) and 10% (3/30, Likert scale 3) of responses were rated as 'poor or very poor' or 'potentially misinterpretable inaccuracies' by reviewers. In diagnostic accuracy, although the rate of correct diagnosis by ophthalmologists was superior to that by MOPH (96.1% vs 81.1%, p>0.05), the difference was not statistically significant.

CONCLUSION

This study demonstrated the promising performance of MOPH, a Chinese-specific ophthalmic LLM, in diverse clinical scenarios. MOPH has potential real-world applications in Chinese-language ophthalmology settings.

Cost-effectiveness of incorporating self-imaging optical coherence tomography into fundus photography-based diabetic retinopathy screening

Diabetic macular edema (DME) has emerged as the foremost cause of vision loss in the population with diabetes. Early detection of DME is paramount, yet the prevailing screening, relying on two-dimensional and labor-intensive fundus photography (FP), results in frequent unwarranted referrals and overlooked diagnoses. Self-imaging optical coherence tomography (SI-OCT), offering fully automated, three-dimensional macular imaging, holds the potential to enhance DR screening. We conducted an observational study within a cohort of 1822 participants with diabetes, who received comprehensive assessments, including visual acuity testing, FP, and SI-OCT examinations. We compared the performance of three screening strategies: the conventional FP-based strategy, a combination strategy of FP and SI-OCT, and a simulated combination strategy of FP and manual SD-OCT. Additionally, we undertook a cost-effectiveness analysis utilizing Markov models to evaluate the costs and benefits of the three strategies for referable DR. We found that the FP + SI-OCT strategy demonstrated superior sensitivity (87.69% vs 61.53%) and specificity (98.29% vs 92.47%) in detecting DME when compared to the FP-based strategy. Importantly, the FP + SI-OCT strategy outperformed the FP-based strategy, with an incremental cost-effectiveness ratio (ICER) of $8016 per quality-adjusted life year (QALY), while the FP + SD-OCT strategy was less cost-effective, with an ICER of $45,754/QALY. Our results were robust to extensive sensitivity analyses, with the FP + SI-OCT strategy standing as the dominant choice in 69.36% of simulations conducted at the current willingness-to-pay threshold. In summary, incorporating SI-OCT into FP-based screening offers substantial enhancements in sensitivity, specificity for detecting DME, and most notably, cost-effectiveness for DR screening.

Impact of eyewear insurance coverage on utilization of eyecare providers in Ontario, Canada

OBJECTIVE

To obtain prescription eyewear in Ontario, eye exams must be performed by optometrists or ophthalmologists (eye care providers [ECPs]). In 2004, government-insured routine eye exams were delisted for Ontarians aged 20-64 leaving eye exam coverage only for those aged ≤19 and 65+. We assessed whether having eyewear insurance impacts Ontarians' utilization of ECPs.

DESIGN

Cross-sectional survey.

PARTICIPANTS

Ontarians aged 12+ without diabetes responding to the Canadian Community Health Survey in 2003, 2005, and 2013/2014.

METHODS

We compared the utilization of ECPs by eyewear insurance status and eligibility for government-funded eye exams. Individuals with eyewear insurance funded by employers, government or privately were considered to have insurance.

RESULTS

ECP utilization was significantly higher in Ontarians with eyewear insurance versus those without, in all survey years and all age groups, including those eligible for government-funded eye exams (e.g., 66.4% vs 59.1% [p < 0.05] for the 65+). This higher level of utilization was particularly evident among Ontarians aged 20-64 in 2013/2014, when this group no longer had government-funded eye exams (34.9% vs 19.9% among 20-39-year-olds, 43.4% vs 32.9% among 40-64-year-olds, p < 0.05 for both). Adjusting for confounding effects, the likelihood of visiting an ECP was greater among Ontarians with eyewear insurance than those without (adjusted prevalence ratio 1.26 for Ontarians aged 12+ and 1.41 for those aged 20-64; p < 0.05 for both).

CONCLUSIONS

Lack of eyewear insurance negatively impacts the utilization of ECPs, even among Ontarians eligible for government-funded eye exams, where the cost barrier for eye exams has been removed by the Ontario government.

Trend and projection of the prevalence and burden of near vision loss in China and globally from 1990 to 2030: A Bayesian age-period-cohort modeling study

Background

Few studies have investigated near vision loss (NVL) in China. To address this gap, we aimed to explore trends in the prevalence and disease burden of NVL from 1990 to 2019 and to predict trends over the next decade.

Methods

Using data from the Global Burden of Disease 2019 study, we calculated the age-standardised prevalence rate (ASPR), age-specific disability-adjusted life years (DALYs), and annual percentage change (EAPC) in China and different regions. We then used the Bayesian age-period-cohort (BAPC) predictive model to predict the prevalence trends from 2020 to 2030 in both contexts.

Results

At the global level, ASPRs increased from 5613.27 in 1990 to 5937.81 per 100 000 population in 2019, with an EAPC of 0.06. The ASPR in China specifically decreased from 7538.14 in 1990 to 7392.86 per 100 000 population in 2019 (EAPC = -0.02). The age-standardised DALY rate was higher in women than in men, both globally and in China. The NVL burden was relatively higher in low-income regions, low sociodemographic index regions, and the South-East Asia Region compared to other regions. The predictive model indicated that the ASR trend for NVL slowly increased at a global level after 2020, yet decreased in China.

Conclusions

Despite a decline in the age-standardised prevalence of NVL in China over the next decade, the current burden remains substantial. To alleviate this burden, decision-makers should adopt inclusive approaches by involving all stakeholders.

A systematic review of economic evaluation of artificial intelligence-based screening for eye diseases: From possibility to reality

Artificial Intelligence (AI) has become a focus of research in the rapidly evolving field of ophthalmology. Nevertheless, there is a lack of systematic studies on the health economics of AI in this field. We examine studies from the PubMed, Google Scholar, and Web of Science databases that employed quantitative analysis, retrieved up to July 2023. Most of the studies indicate that AI leads to cost savings and improved efficiency in ophthalmology. On the other hand, some studies suggest that using AI in healthcare may raise costs for patients, especially when taking into account factors such as labor costs, infrastructure, and patient adherence. Future research should cover a wider range of ophthalmic diseases beyond common eye conditions. Moreover, conducting extensive health economic research, designed to collect data relevant to its own context, is imperative.

Thyroid cancer trends in China and its comparative analysis with G20 countries: Projections for 2020-2040

Background

Thyroid cancer, a leading type of endocrine cancer, accounts for 3-4% of all cancer diagnoses. This study aims to analyse and compare thyroid cancer patterns in China and the Group twenty (G20) countries, and predict these trend for the upcoming two decades.

Methods

This observational longitudinal study utilised data from the Global Burden of Disease (GBD) study 2019. We used metrics including incidence, mortality, mortality-incidence ratio (MIR), age-standardised rate (ASR) and average annual percent change (AAPC) to examine thyroid cancer trends. Joinpoint regression analysis was used to identify periods manifesting notable changes. The association between sociodemographic index (SDI) and AAPC were investigated. The autoregressive integrated moving average (ARIMA) model was used to predict thyroid cancer trends from 2020 to 2040.

Results

From 1990 to 2019, thyroid cancer incidence cases in China increased by 289.6%, with a higher AAPC of age-standardised incidence rate (ASIR) in men. Contrastingly, the G20 demonstrated a smaller increase, particularly among women over 50. Despite the overall age-standardised mortality rate (ASMR) was higher in the G20, the increase in mortality was less pronounced than in China. Age-standardised incidence rate increased across all age groups and genders, with a notable rise among men aged 15-49. ASMR decreased in specific age groups and genders, especially among women. Conversely, the ASMR significantly increased in group aged over 70. The MIR exhibited a declining trend, but this decrease was less noticeable in men and the group aged over 70. Joinpoint analysis pinpointed significant shifts in overall ASIR and ASMR, with the most pronounced increase in ASIR during 2003-2011 in China and 2003-2010 in the G20. Predictions suggested a continual ASIR uptrend, especially in the 50-69 age group, coupled with a predicted ASMR downturn among the elderly by 2040. Moreover, the proportion of thyroid cancer deaths attributable to high body mass index (BMI) escalated, with significant increase in Saudi Arabia and a rise to 7.4% in China in 2019.

Conclusions

Thyroid cancer cases in incidence and mortality are escalating in both China and the G20. The increasing trend may be attributed to factors beyond overdiagnosis, including environmental and genetic factors. These findings emphasise the necessity for augmenting prevention, control, and treatment strategies. They also highlight the significance of international collaboration in addressing the global challenge posed by thyroid cancer.

The burden, causes, and determinants of blindness and vision impairment in Asia: An analysis of the Global Burden of Disease Study

Background

Asia accounts for more than half of the world's population and carries a substantial proportion of the global burden of blindness and vision impairment. Characterising this burden, as well as its causes and determinants, could help with devising targeted interventions for reducing the occurrence of blindness and visual impairment.

Methods

Using the Global Burden of Disease Study 2019 database, we retrieved data on the number of disability-adjusted life years (DALYs); crude and age-standardised rates; and the prevalence (with 95% uncertainty intervals (95%UIs)) of blindness and vision loss due to six causes (age-related macular degeneration, cataracts, glaucoma, near-vision impairment, refractive error, and other vision loss) for Asian countries for the period between 1990 and 2019. We defined DALYs as the sum of the years lost due to disability and years of life lost, and calculated age-standardised figures for the number of DALYs and prevalence by adjusting for population size and age structure. We then evaluated the time trend of the disease burden and conducted subgroup analyses by gender, age, geographic locations, and socio-demographic index (SDI).

Results

In 2019, the DALYs and prevalence of blindness and vision loss had risen by 90.1% and 116% compared with 1990, reaching 15.84 million DALYs (95% UI = 15.83, 15.85) and 506.71 million cases (95% UI = 506.68, 506.74). Meanwhile, the age-standardised rate of DALYs decreased from 1990 to 2019. Cataracts, refractive error, and near vision impairment were the three most common causes. South Asia had the heaviest regional disease burden (age-standardised rate of DALYs = 517 per 100 000 population; 95% UI = 512, 521). Moreover, the burden due to cataracts ranked high in most Asian populations. Being a woman; being older; and having a lower national SDI were factors associated with a greater vision loss burden.

Conclusions

The burden due to vision loss remains high in Asian populations. Cataracts, refractive error, and near vision loss were the primary causes of blindness and vision loss. Greater investment in ocular disease prevention and care by countries with lower socioeconomic status is needed, as well as specific strategies targeting cataract management, women and the elderly.

Burden of blindness and vision loss in China over the past 30 years: findings and predictions based on the Global Burden of Disease Study 2019

AIMS

To investigate the burden of blindness and vision loss (BVL) in China over the past 30 years according to year, age and sex, and to estimate future predictions.

METHODS

We analysed the years lived with disability (YLDs), number of cases, age-standardised YLD rates (ASYRs) and age-standardised prevalence rates (ASPRs) of BVL in China from 1990 to 2019. We focused on changes over time using estimated annual percentage changes (EAPCs). Additionally, we used the Bayesian age-period-cohort model to predict the BVL burden from 2020 to 2030.

RESULTS

The number of YLDs and prevalent cases due to BVL increased from 2.57 (95% uncertainty interval (UI) 1.74 to 3.72) and 90.76 million (95% UI 72.21 to 111.92) in 1990 to 5.42 (95% UI 3.61 to 8.02) and 211.67 million (95% UI 168.21 to 259.66) in 2019, respectively. The BVL ASYRs and ASPRs showed a decreasing trend, with EAPCs of -0.13 (95% CI -0.28 to 0.02) and -0.11 (95% CI -0.19 to -0.04), respectively. The elderly and female populations had a higher BVL burden. The numbers of YLDs and cases due to BVL are projected to continue rising to 7.74 and 279.49 million in 2030, respectively. The ASYRs and ASPRs also showed increasing trends.

CONCLUSION

While rates of BVL in China have decreased, there has been a notable increase in the number of YLDs and new cases over the past 30 years. Projections suggest that the burden of BVL will continue to rise over the next 11 years. To address this challenge, appropriate policies must be implemented.

Health Management Service Models for the Elderly with Visual Impairment: A Scoping Review

Background

The incidence of visual impairment(VI) in older people is gradually increasing. This review aimed to summarise the evidence on existing health management models and strategies for older adults with VI to improve health-related and vision-related quality of life (QoL) in older people.

Methods

Based on the framework of the scoping review methodology of Arksey and O'Malley (2005), a comprehensive literature search of relevant literature published between January 2010 and June 2022 in PubMed, CINAHL, EMBASE, Web of Science, Cochrane Library, CNKI, VIP, Wanfang database, Sinomed and the grey literature.

Results

Finally, 31 articles were included. The health management model had a multidisciplinary team low vision rehabilitation model, medical consortium two-way management model, low vision community comprehensive rehabilitation model, medical consortium-family contract service model, screening-referral-follow-up model, and three-level low vision care model. The health management strategy covers nine aspects, the combination of multi-element strategies is feasible, and network information technology has also shown positive results.

Conclusion

In the future, under the Internet and hierarchical management model, we should provide demand-based personalized support to rationalize and scientifically achieve hierarchical management and improve resource utilization efficiency and eye health outcomes.

Disease burden of Parkinson's disease in China and its provinces from 1990 to 2021: findings from the global burden of disease study 2021

Background

Parkinson's disease (PD) has become a public health concern with global ageing. However, comprehensive assessments of the temporal and geographical trend of PD disease burden in China remain insufficient. This study aimed to examine the burden of PD by age, gender, and geographical region in China during 1990-2021.

Methods

Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, we analysed the incidence, prevalence, mortality, and DALY burden of PD in 33 Chinese provinces/regions. We compared the national figure with the global average and the corresponding estimates from the G20 countries. The estimated annual percentage change (EAPC) was used to quantify the temporal trends of PD burden during 1990-2021. We further assessed the PD burden by age and gender during 1990-2021. We used a decomposition analysis to investigate the changes in the number of new cases, patients, and deaths of PD during 1990-2021.

Findings

In 2021, China recorded the highest age-standardised incidence and prevalence of PD among the G20 countries, at 24.3 per 100,000 and 245.7 per 100,000, respectively, figures that were much higher than the global average. During 1990-2021, the age-standardised incidence of PD in China increased by 89.7%, and the age-standardised prevalence by 167.8%, both marking the largest increases among the G20 countries. In contrast, the age-standardised mortality for PD has significantly decreased since 1990, whereas the age-standardised DALY rate for PD has remained relatively unchanged since 1990. The PD burden gradually increased with age, especially in the elderly population aged ≥65 years. During 1990-2021, the burden in males consistently surpassed that in females, with the gender difference widening over time. The increase in new cases and patients of PD was primarily driven by changes in age-specific rates, while the rise in PD-related deaths was largely attributable to population ageing. The disease burden of PD varied considerably across the Chinese provinces. In 2021, age-standardised incidence and prevalence of PD were generally higher in China's southeastern coastal regions than in the western regions, and age-standardised DALY rates were higher in the northern regions than in other regions.

Interpretation

The disease burden of PD in China has consistently risen over the past three decades, particularly among elderly men. The increasing causative factors and population aging highlight the need for enhancing public health intervention and resource allocation, especially in etiological research, early diagnosis, preventive strategies, and region-specific management for PD.

Funding

Ministry of Science and Technology of the People's Republic of China (2022YFC2304900, 2022YFC2505100); National Key R&D Program of China (2022YFC2505100, 2022YFC2505103, 2018YFC1315300); Outstanding Young Scholars Support Program (grant number: 3111500001); Epidemiology modeling and risk assessment (grant number: 20200344), and Xi'an Jiaotong University Young Scholar Support Grant (grant number: YX6J004).

RETFound-enhanced community-based fundus disease screening: real-world evidence and decision curve analysis

Visual impairments and blindness are major public health concerns globally. Effective eye disease screening aided by artificial intelligence (AI) is a promising countermeasure, although it is challenged by practical constraints such as poor image quality in community screening. The recently developed ophthalmic foundation model RETFound has shown higher accuracy in retinal image recognition tasks. This study developed an RETFound-enhanced deep learning (DL) model for multiple-eye disease screening using real-world images from community screenings. Our results revealed that our DL model improved the sensitivity and specificity by over 15% compared with commercial models. Our model also shows better generalisation ability than AI models developed using traditional processes. Additionally, decision curve analysis underscores the higher net benefit of employing our model in both urban and rural settings in China. These findings indicate that the RETFound-enhanced DL model can achieve a higher net benefit in community-based screening, advocating its adoption in low- and middle-income countries to address global eye health challenges.

Myopia information on TikTok: analysis factors that impact video quality and audience engagement

BACKGROUND

TikTok is emerging as a vital platform for health information dissemination. Despite myopia being a global public health issue, the high-quality myopia information shared by health educators often fails to go viral. It is imperative to analyze the factors influencing video quality and popularity, especially from diverse perspectives of researchers, health educators, and audiences.

METHODS

TikTok myopia-related videos were retrieved using TikTok's default comprehensive search (DCS) and most liked search (MLS) strategies. Venn diagrams were employed to illustrate the relationships and commonalities between the two strategies across four sample sizes (top 200, 150, 100, and 50). Video metadata, including details such as creator information, production properties, upload time, video duration, and viewer engagement, were collected. Video quality was assessed using the DISCERN tool. Video content covering six aspects of myopia were evaluated. The impact of search strategies, video sample sizes, production properties, and myopia content on video quality and audience engagement was analyzed through single-factor or multi-factor analysis.

RESULTS

DCS and MLS retrieval strategies, as well as varying sample sizes, resulted in differences in audience engagement for myopia videos (P < 0.039), while The DISCERN quality scores remained comparable (P > 0.221). Videos published by healthcare professionals (HCPs) and non-profit organizations (NPOs) were associated with high-quality (P ≤ 0.014) but comparatively lower popularity (P < 0.033). Videos that reported contents of risk factors, management, and outcomes showed high popularity (P < 0.018), while longer video duration (> 60s) exhibited the opposite trend (P < 0.032). Content on myopia evaluation (P ≤ 0.001) and management (P ≤ 0.022) and video duration were positively correlated with higher DISCERN quality.

CONCLUSION

Videos created by HCPs and NPOs deserve greater attention. Rather than pursuing entertaining effects, professional educators should emphasize producing concise, and high-quality myopia content that readily resonates with the audience and has the potential to go viral on the platform.

Review on the potential roles of traditional Chinese medicines in the prevention, treatment, and postoperative recovery of age-related cataract

ETHNIC PHARMACOLOGICAL RELEVANCE

Cataract is the most common cause of blindness worldwide, a visual disorder caused by a clouded lens that seriously affects People's Daily lives. Age-related cataract (ARC) is the most common type of cataract due to long-term combined effects of many factors, and its pathogenesis is varied. At present, the surgery is the main treatment for cataracts, but it is still limited to the prevention, treatment of early cataracts and the postoperative complications care. While, its drug treatments are still in the stage of exploration and research. Traditional Chinese Medicine (TCM), a unique resource in China, is conceived under the guidance of traditional Chinese medicine theory and has little toxicity and side effects, but it has made great progress in the treatment and prevention of ARC.

AIM OF THIS REVIEW

This review presents an overview of the pathogenesis of ARC in both traditional and modern medicines and summarizes the history and therapeutic effect of TCM on ARC including their formula, crude drugs and active components, and also the other auxiliary methods.

METHODS

A number of recognized databases like SciFinder, PubMed, Science Direct, Google Scholar, and China National Knowledge Infrastructure (CNKI) were extensively explored by using keywords and phrases such as "cataract", "age-related cataract", "traditional medicine", "ethnopharmacology", "herbs", "medicinal plants", or other relevant terms, and the plants/phytoconstituents that are evaluated in the models of age-related cataract. As well as the current TCM adjuvant therapy used in the clinical treatment were summarized.

RESULTS

TCM revealed to plays an active role in treating age-related cataract, via multi-pathway and multi-target, and can treat or delay ARC by inhibiting abnormal glucose metabolism, antioxidant damage, inhibiting LEC apoptosis, and so on, which is in concordance with the good effects of the global use of TCM in clinical application. Concerning the early prevention and treatment of cataract and postoperative complications, TCM and auxiliary methods remain to achieve better clinical effects.

CONCLUSION

ARC belongs to the category of "Yuan Yi Nei Zhang" in TCM theory, showing that there are many causes of ARC including aging, and kidney-yang, spleen, sperm and blood deficiencies. At the same time, the viscera gradually decline, as well as yin or yang progressively become weak, especially in the elder people. So, TCM could be mainly based on liver, kidney, and spleen syndrome differentiation, personalizing diagnosis and treatment, following multiple targets, regulating fundamentally yin and yang, and thus justifying the advantages of Chinese medicine in the prevention and treatment of ARC.

Associations Between Self-Reported Visual Difficulty, Age of Onset, and Cognitive Function Trajectories Among Chinese Older Adults

Objectives: This study examined the association between self-reported visual difficulty and age-related cognitive declines among older Chinese adults and how the timing of visual difficulty onset plays a role in cognitive trajectories. Methods: Data were drawn from the 2011-2018 wave of the China Health and Retirement Longitudinal Study, involving 9974 respondents aged 60 years or older (mean age 65.44 years, range 60-101 years). Results: At baseline, 14.16% respondents had self-reported visual difficulty. Growth curve models showed that Chinese older adults with visual difficulty experienced a faster decline in cognitive function compared to those without visual difficulty (β = -0.02, p < .01). Older adults who began experiencing visual difficulty between 61 and 75 years of age had steeper cognitive declines compared to those with earlier or later onset (β = -0.05, p < .01). Discussion: Older adults with self-reported visual difficulty experience faster rates of cognitive decline. Future research should explore potential factors that underlie the association between onset timing of visual difficulty and cognitive function.

Trends in the global burden of vision loss among the older adults from 1990 to 2019

Purpose

To quantify the global impact of vision impairment in individuals aged 65 years and older between 1990 and 2019, segmented by disease, age, and sociodemographic index (SDI).

Methods

Using the Global Burden of Diseases 2019 (GBD 2019) dataset, a retrospective demographic evaluation was undertaken to ascertain the magnitude of vision loss over this period. Metrics evaluated included case numbers, prevalence rates per 100,000 individuals, and shifts in prevalence rates via average annual percentage changes (AAPCs) and years lived with disability (YLDs).

Results

From 1990 to 2019, vision impairment rates for individuals aged 65 years and older increased from 40,027.0 (95% UI: 32,232.9-49,945.1) to 40,965.8 (95% UI: 32,911-51,358.3, AAPC: 0.11). YLDs associated with vision loss saw a significant decrease, moving from 1713.5 (95% UI: 1216.2-2339.7) to 1579.1 (95% UI: 1108.3-2168.9, AAPC: -0.12). Gender-based evaluation showed males had lower global prevalence and YLD rates compared to females. Cataracts and near vision impairment were the major factors, raising prevalence by 6.95 and 2.11%, respectively. Cataract prevalence in high-middle SDI regions and near vision deficits in high SDI regions significantly influenced YLDs variation between 1990 and 2019.

Conclusion

Over the past three decades, there has been a significant decrease in the vision impairment burden in individuals aged 65 and older worldwide. However, disparities continue, based on disease type, regional SDI, and age brackets. Enhancing eye care services, both in scope and quality, is crucial for reducing the global vision impairment burden among the older adults.

Trends in the Prevalence of Common Retinal and Optic Nerve Diseases in China: An Artificial Intelligence Based National Screening

Purpose

Retinal and optic nerve diseases have become the primary cause of irreversible vision loss and blindness. However, there is still a lack of thorough evaluation regarding their prevalence in China.

Methods

This artificial intelligence-based national screening study applied a previously developed deep learning algorithm, named the Retinal Artificial Intelligence Diagnosis System (RAIDS). De-identified personal medical records from January 2019 to December 2021 were extracted from 65 examination centers in 19 provinces of China. Crude prevalence and age-sex-adjusted prevalence were calculated by mapping to the standard population in the seventh national census.

Results

In 2021, adjusted referral possible glaucoma (63.29, 95% confidence interval [CI] = 57.12-68.90 cases per 1000), epiretinal macular membrane (21.84, 95% CI = 15.64-29.22), age-related macular degeneration (13.93, 95% CI = 11.09-17.17), and diabetic retinopathy (11.33, 95% CI = 8.89-13.77) ranked the highest among 10 diseases. Female participants had significantly higher adjusted prevalence of pathologic myopia, yet a lower adjusted prevalence of diabetic retinopathy, referral possible glaucoma, and hypertensive retinopathy than male participants. From 2019 to 2021, the adjusted prevalence of retinal vein occlusion (0.99, 95% CI = 0.73-1.26 to 1.88, 95% CI = 1.42-2.44), macular hole (0.59, 95% CI = 0.41-0.82 to 1.12, 95% CI = 0.76-1.51), and hypertensive retinopathy (0.53, 95% CI = 0.40-0.67 to 0.77, 95% CI = 0.60-0.95) significantly increased. The prevalence of diabetic retinopathy in participants under 50 years old significant increased.

Conclusions

Retinal and optic nerve diseases are an important public health concern in China. Further well-conceived epidemiological studies are required to validate the observed increased prevalence of diabetic retinopathy, hypertensive retinopathy, retinal vein occlusion, and macular hole nationwide.

Translational Relevance

This artificial intelligence system can be a potential tool to monitor the prevalence of major retinal and optic nerve diseases over a wide geographic area.

The burden of vision loss due to cataract in China: findings from the Global Burden of Disease Study 2019

OBJECTIVE

To provide a reference for future policy and measure formulation by conducting a detailed analysis of the burden of vision loss due to cataract by year, age, and gender in China from 1990 to 2019.

METHODS

Data on the prevalence and disability-adjusted life-years (DALYs) due to cataract in China and neighboring and other G20 countries were extracted from the 2019 Global Burden of Disease (GBD) study to observe the changing trends of vision loss.

RESULTS

The number and rate of all-age prevalence and DALYs for cataract in China increased significantly from 1990 to 2019. The age-standardized DALYs rate witnessed a slowly declining trend by 10.16%. And the age-standardized prevalence increased by 14.35% over the 30-year period. Higher prevalence and DALYs were observed in female population from 1990 through 2019, with little improvement over the decades(all p < 0.001). The disease burden of cataract is higher in middle-aged and elderly people. Blindness accounted for the largest proportion of vision impairment burden caused by cataract in China. The age-standardized prevalence and DALY rate of cataract in China were lower than those in India and Pakistan, but higher than those in Russia, South Korea, North Korea, Singapore, and Japan.

CONCLUSIONS

In the past 30 years, although the age-standardized DALYs rate has decreased slightly in China, the all-age prevalence and DALYs have both increased. This study highlights the importance of reducing cataract burden by providing timely and easily accessible quality care, especially in females and the elderly population.

Improving Walking Path Generation Through Biped Constraint in Indoor Navigation System for Visually Impaired Individuals

This paper introduces a walking path generation method specifically developed for the Smart Cane, which is a RNA (Robotic Navigation Assistance Device) aimed at enhancing indoor navigation for visually impaired individuals. The proposed approach combines the utilization of a LIPM (Linear Inverse Pendulum Model) and LFPC (Linear Foot Placement Controller) motion primitives to generate walking paths specifically designed for visually impaired individuals. The primary objective is to generate paths that conform to human motion constraints, thereby guaranteeing an efficient and natural navigation experience. Integrating autonomous navigation framework, the Smart Cane facilitates safe and effective guidance for visually impaired participants in the indoor environments. Furthermore, comparative experiments have been conducted to validate the effectiveness of the proposed method, providing evidence of its capability to generate walking paths that conform to human motion constraints. The experiment results indicate that the proposed walking path generation method is a promising solution to enhance the navigation experience of visually impaired individuals.

Investigation of the reasons for delayed presentation in proliferative diabetic retinopathy patients

AIM

To investigate reasons for delayed presentation in patients with proliferative diabetic retinopathy (PDR).

METHODS

A questionnaire was designed to investigate consecutive PDR patients with delayed presentation who visited our center between January 2021 and December 2021. The questionnaire was divided into four sections: knowledge regarding diabetic retinopathy (DR), attitude toward DR treatment, difficulties adhering to follow-up plans, and medical care. The systemic disease status and severity of DR were recorded. Logistic analysis was undertaken to investigate DR treatment refusal and delay factors.

RESULTS

A total of 157 patients were included in this study, with an average age of 50.0 ± 11.6 years. The median glycated hemoglobin level (HbA1c) was 7.8% (IQR 2.5%). Among the 157 eyes, most required vitrectomy intervention (144, 91.7%); 17 developed neovascular glaucoma (NVG), while only 13 required additional photocoagulation. Among the 36 patients with undiagnosed DM, the reason for delayed DR presentation was a lack of awareness of DM status among these patients (36 cases, 100.0%). Most of the patients with a known history of DM exhibited inadequate DR knowledge (29, 24.0%), believed their good visual acuity did not require DR screening (98, 81.0%), and had poorly controlled diabetes (113, 93.3%). Factors related to refusing DR treatment were patients with an inability to receive regular diabetes treatment in internal medicine clinics (OR 6.78, 95% CI 1.73-26.59, p = 0.006), patients who could not tolerate discomfort during ophthalmic examination and treatment (OR 15.15, 95% CI 2.70-83.33, p<0.001), and patients who did not have any retinal abnormalities detected and were not informed about the need for regular screening (OR 2.05, 95% CI 1.36-3.09, p<0.001).

CONCLUSIONS

This study investigated the factors contributing to delayed presentation among patients with PDR. Many individuals in the delayed population were found to have undiagnosed DM. Among patients already aware of their DM status, reasons for delay included insufficient knowledge about DR, negative attitudes toward screening and treatment, and difficulties seeking medical care in real-life situations. Furthermore, there needed to be more improvements in the detection, treatment, and follow-up of DR by internal medicine practitioners and ophthalmologists.

Application of artificial intelligence system for screening multiple fundus diseases in Chinese primary healthcare settings: a real-world, multicentre and cross-sectional study of 4795 cases

BACKGROUND/AIMS

This study evaluates the performance of the Airdoc retinal artificial intelligence system (ARAS) for detecting multiple fundus diseases in real-world scenarios in primary healthcare settings and investigates the fundus disease spectrum based on ARAS.

METHODS

This real-world, multicentre, cross-sectional study was conducted in Shanghai and Xinjiang, China. Six primary healthcare settings were included in this study. Colour fundus photographs were taken and graded by ARAS and retinal specialists. The performance of ARAS is described by its accuracy, sensitivity, specificity and positive and negative predictive values. The spectrum of fundus diseases in primary healthcare settings has also been investigated.

RESULTS

A total of 4795 participants were included. The median age was 57.0 (IQR 39.0-66.0) years, and 3175 (66.2%) participants were female. The accuracy, specificity and negative predictive value of ARAS for detecting normal fundus and 14 retinal abnormalities were high, whereas the sensitivity and positive predictive value varied in detecting different abnormalities. The proportion of retinal drusen, pathological myopia and glaucomatous optic neuropathy was significantly higher in Shanghai than in Xinjiang. Moreover, the percentages of referable diabetic retinopathy, retinal vein occlusion and macular oedema in middle-aged and elderly people in Xinjiang were significantly higher than in Shanghai.

CONCLUSION

This study demonstrated the dependability of ARAS for detecting multiple retinal diseases in primary healthcare settings. Implementing the AI-assisted fundus disease screening system in primary healthcare settings might be beneficial in reducing regional disparities in medical resources. However, the ARAS algorithm must be improved to achieve better performance.

TRIAL REGISTRATION NUMBER

NCT04592068.

Prevalence and causes of blindness and distance visual impairment in Chinese adult population in 2022 during the COVID-19 pandemic: a cross-sectional study

This cross-sectional study aims to investigate the prevalence and causes of visual impairment (VI) and blindness in Jiangsu Province, China in 2022 during the COVID-19 pandemic. Participants (n = 13,208, aged 18-93) underwent comprehensive ocular examinations. The prevalence and causes of binocular VI (presenting visual acuity [VA] ≥ 20/400 and < 20/63 in the better eye) and blindness (presenting VA < 20/400 in the better eye) were assessed according to the World Health Organization (WHO) criteria. The estimation of refractive error prevalence was conducted using the following classification: myopia ≤  - 0.50 diopters (D), high myopia ≤  - 6.00 D, hyperopia ≥ 0.50 D, and anisometropia ≥ 1.00 D. The overall prevalence of binocular VI and blindness was 21.04% (95% confidence interval [CI] 20.35-21.74%) and 0.47% (95% CI 0.37-0.60%). The highest prevalence of binocular VI was in the population aged 18-24 years old (46.29%, [95% CI 44.30-48.28%]), those with education at university and above (43.47%, [95% CI 41.93-45.02%]), students (54.96%, [95% CI 52.73-57.17%]). Uncorrected refractive error (URE) was the leading cause of presenting binocular VI (93.40%) and blindness (50.79%). The prevalence of myopia was 54.75% (95% CI 53.90-55.60%). Actions are needed to control URE and myopia within the adult Chinese population, with a particular emphasis on the younger, well-educated demographic.

Advances in Research Related to MicroRNA for Diabetic Retinopathy

Diabetic retinopathy (DR) is a severe microvascular complication of diabetes and is one of the primary causes of blindness in the working-age population in Europe and the United States. At present, no cure is available for DR, but early detection and timely intervention can prevent the rapid progression of the disease. Several treatments for DR are known, primarily ophthalmic treatment based on glycemia, blood pressure, and lipid control, which includes laser photocoagulation, glucocorticoids, vitrectomy, and antivascular endothelial growth factor (anti-VEGF) medications. Despite the clinical efficacy of the aforementioned therapies, none of them can entirely shorten the clinical course of DR or reverse retinopathy. MicroRNAs (miRNAs) are vital regulators of gene expression and participate in cell growth, differentiation, development, and apoptosis. MicroRNAs have been shown to play a significant role in DR, particularly in the molecular mechanisms of inflammation, oxidative stress, and neurodegeneration. The aim of this review is to systematically summarize the signaling pathways and molecular mechanisms of miRNAs involved in the occurrence and development of DR, mainly from the pathogenesis of oxidative stress, inflammation, and neovascularization. Meanwhile, this article also discusses the research progress and application of miRNA-specific therapies for DR.

Temporal trends and projection of blindness and vision loss prevalence in older adults in BRICS countries

BACKGROUND

Blindness and vision loss (BVL) is a major global health issue affecting older adults, but its burden in transition countries has received limited attention. Therefore, we aimed to assess the trends in the burden of BVL among older adults between 1990 and 2019 across Brazil, Russia, India, China, and South Africa (BRICS), and predict the burden by 2040.

METHODS

Data on BVL and its related causes were obtained from the Global Burden of Disease 2019 study. We investigated the temporal trends by calculating the average annual percentage change using joinpoint regression analysis. Subsequently, we performed Bayesian age-period-cohort modeling to estimate the burden of BVL and its related causes by 2040.

RESULTS

Most BRICS countries experienced a significant decline (p < 0.05) in age-standardized prevalence rates, and the decreasing trends tend to continue. However, by 2040, the number of BVL cases is expected to increase by approximately 50% across BRICS, with an estimated approximately 192, 170, 25, 17, and 7 million cases in China, India, Russia, Brazil, and South Africa, respectively. The related ranks of BVL causes are also estimated to change in the future, particularly in India.

CONCLUSIONS

The different burdens and trends of BVL across BRICS reflected the different stages of population health transition. Effective eye disease prevention requires appropriate public health interventions. Developing effective health policies and services for older adults is urgently needed in BRICS countries.

Individual-level socioeconomic status and cataract-induced visual disability among older adults in China: the overview and urban-rural difference

Objective

To investigate the prevalence of cataract-induced visual disability and its association with individual-level socioeconomic status (SES) among older adults in China.

Methods

Using the data of 354,743 older adults (60 years and older) from the Second China National Sample Survey on Disability in 2006. Cross-sectional study design was applied. The differences in visual disability prevalence of cataracts among sociodemographic subgroups were analyzed by the chi-square test, and the association between individual-level SES and cataract-induced visual disability was investigated by the multivariate logistic regression model.

Results

The weighted visual disability prevalence of cataracts was 4.84% in 2006. Older people with a higher household income per capita (OR = 0.83, 95% CI: 0.81-0.85), higher education level (primary school vs. illiteracy: OR = 0.80, 95% CI: 0.76-0.83; ≥undergraduate college vs. illiteracy: OR = 0.31, 95% CI: 0.25-0.39), and occupation (OR = 0.53, 95% CI: 0.50-0.56) were less likely to suffer from cataract-induced visual disability. Household income per capita and education level increase played a greater role in decreasing the risk of visual disability caused by cataracts in urban areas, while having occupation contributed more to reducing the risk of disability in rural areas.

Conclusion

The gap in individual-level SES is closely related to the visual health inequities among older Chinese people and there are two distinct mechanisms in rural and urban areas. Strategies to promote collaborative healthcare development regionally, strengthen safeguards for disadvantaged groups, and increase public awareness of visual disability prevention are warranted.

MAG-Net : Multi-fusion network with grouped attention for retinal vessel segmentation

Retinal vessel segmentation plays a vital role in the clinical diagnosis of ophthalmic diseases. Despite convolutional neural networks (CNNs) excelling in this task, challenges persist, such as restricted receptive fields and information loss from downsampling. To address these issues, we propose a new multi-fusion network with grouped attention (MAG-Net). First, we introduce a hybrid convolutional fusion module instead of the original encoding block to learn more feature information by expanding the receptive field. Additionally, the grouped attention enhancement module uses high-level features to guide low-level features and facilitates detailed information transmission through skip connections. Finally, the multi-scale feature fusion module aggregates features at different scales, effectively reducing information loss during decoder upsampling. To evaluate the performance of the MAG-Net, we conducted experiments on three widely used retinal datasets: DRIVE, CHASE and STARE. The results demonstrate remarkable segmentation accuracy, specificity and Dice coefficients. Specifically, the MAG-Net achieved segmentation accuracy values of 0.9708, 0.9773 and 0.9743, specificity values of 0.9836, 0.9875 and 0.9906 and Dice coefficients of 0.8576, 0.8069 and 0.8228, respectively. The experimental results demonstrate that our method outperforms existing segmentation methods exhibiting superior performance and segmentation outcomes.

Dynamic associations between vision and hearing impairment and depressive symptoms among older Chinese adults

BACKGROUND

Whether the impact of vision impairment (VI)/hearing impairment (HI) on depressive symptoms changes over time has not been investigated. This study aimed to examine the complex dynamic associations between VI/HI and depressive symptoms to design effective prevention strategies for older Chinese adults.

METHODS

Data were from the China Health and Retirement Longitudinal Study (CHARLS). The study identified self-reported VI, HI, depressive symptoms, and other covariates (including social isolation). Logistic regression models were used to analyze the dynamic associations across three waves, with the assessment of multiplicative and additive interactions.

RESULTS

Of the 8519 participants in wave 1 (mean [SD] age, 62.0 [8.0] years, 49.5 % male), 38.5 % had depressive symptoms. After adjusting for covariates including social isolation, VI and HI were significantly associated with depressive symptoms across all three waves. Specifically, the adjusted odds ratio (AOR) of VI increased from 2.08 (95 % CI: 1.89 to 2.29) in wave 1 to 2.15 (95 % CI: 1.90 to 2.44) in wave 3; while the AOR of HI increased from 1.80 (95 % CI: 1.58 to 2.04) in wave 1 to 2.11 (95 % CI: 1.75 to 2.51) in wave 3. The additive interactions between VI and HI on depressive symptoms in each wave (e.g., RERI [95 % CI]: 7.90 [2.51 to 12.30] in wave 1) were significant without adjusting for social isolation.

CONCLUSION

The study suggests that VI and HI are consistently associated with depressive symptoms among older adults in China over a four-year period, and their influences on mental health deserve more attention.

Gender Disparities in the Global Burden of Refractive Disorders in Children: An Analysis From the Global Burden of Disease Study 2019

PURPOSE

To investigate gender disparities in the global burden of refractive disorders in children younger than 15 years by year, age, and national developmental status using disability-adjusted life years (DALYs).

METHODS

Global, regional, and national gender-specific DALY numbers and rates of refractive disorders in children were obtained by year (from 1990 to 2019) and age group (0 to 4, 5 to 9, and 10 to 14 years) from the Global Burden of Disease Study 2019. Data from the Inequality-adjusted Human Development Index in 2019 as an indicator of national developmental status were extracted from the Human Development Report. Pearson correlation and linear regression analyses were performed to explore the association between female-to-male DALY rate ratios and national developmental status.

RESULTS

Gender disparities in DALY numbers and rates of refractive disorders in children have persisted and shown little improvement from 1990 to 2019. Girls had a higher burden than boys of the same age, and gender disparities increased with age (1.120 in preschool children aged 0 to 4 years, 1.124 in younger school-aged children aged 5 to 9 years, and 1.135 in older school-aged children aged 10 to 14 years). Female-to-male DALY rate ratios were negatively related to Inequality-adjusted Human Development Index values (standardized b = -0.189, P < .05).

CONCLUSIONS

Gender disparities in the global burden of refractive disorders in children have persisted for decades, with girls who are older and from lower-income countries having a higher burden than boys. Gender-specific health policies should be made to manage refractive disorders in children. [J Pediatr Ophthalmol Strabismus. 2024;61(1):51-58.].

Quality assessment of non-mydriatic fundus photographs for glaucoma screening in primary healthcare centres: a real-world study

BACKGROUND

This study assessed the quality distribution of non-mydriatic fundus photographs (NMFPs) in real-world glaucoma screening and analysed its influencing factors.

METHODS

This cross-sectional study was conducted in primary healthcare centres in the Yinzhou District, China, from 17 March to 3 December 2021. The quality distribution of bilateral NMFPs was assessed by the Digital Reading Department of the Eye Hospital of Wenzhou Medical University. Generalised estimating equations and logistic regression models identified factors affecting image quality.

RESULTS

A total of 17 232 photographs of 8616 subjects were assessed. Of these, 11.9% of images were reliable for the right eyes, while only 4.6% were reliable for the left eyes; 93.6% of images were readable in the right eyes, while 90.3% were readable in the left eyes. In adjusted models, older age was associated with decreased odds of image readability (adjusted OR (aOR)=1.07, 95% CI 1.06~1.08, p<0.001). A larger absolute value of spherical equivalent significantly decreased the odds of image readability (all p<0.001). Media opacity and worse visual acuity had a significantly lower likelihood of achieving readable NMFPs (aOR=1.52, 95% CI 1.31~1.75; aOR=1.70, 95% CI 1.42~2.02, respectively, all p<0.001). Astigmatism axes within 31°~60° and 121°~150° had lower odds of image readability (aOR=1.35, 95% CI 1.11~1.63, p<0.01) than astigmatism axes within 180°±30°.

CONCLUSIONS

The image readability of NMFPs in large-scale glaucoma screening for individuals 50 years and older is comparable with relevant studies, but image reliability is unsatisfactory. Addressing the associated factors may be vital when implementing ophthalmological telemedicine in underserviced areas.

TRIAL REGISTRATION NUMBER

ChiCTR2200059277.

The burden of epilepsy in the People's Republic of China from 1990 to 2019: epidemiological trends and comparison with the global burden of epilepsy

Background

Epilepsy is associated with a significant global burden of disease, affecting over 50 million people worldwide. The specific aim of this study is to compare the burden of epilepsy in the People's Republic of China (PRC) with the global burden, and to analyze the epidemiological trends of epilepsy, the relationship between the burden of epilepsy and social demographic index (SDI), and the relative contributions of epidemiological factors.

Methods

This is a retrospective population-based study, data were obtained from the Global Burden of Disease (GBD) study in 2019. We employed Joinpoint software and the age-period-cohort (APC) model to analyze epilepsy's epidemiological trends. Health inequality analysis was conducted to investigate the impact of SDI on epilepsy burden. Decomposition analysis was performed to examine the relative contributions of age, population, and epidemiological changes to epilepsy.

Results

Between 1990 and 2019, the incidence rate in the PRC increased by 45%, significantly surpassing the global incidence of epilepsy. However, Disability-Adjusted Life Years (DALY) decreased notably, and the proportion of Years of Life Lost (YLL) decreased from 62.73 to 39.03%. Concerning incidence, the period Rate Ratio (RR) in the PRC initially increased and then decreased, while the cohort RR in the PRC and globally exhibited a consistent upward trend. In terms of mortality, period RR and cohort RR in the PRC displayed a gradual decrease, with mortality starting higher but eventually falling below the global mortality. The net drifts of incidence were greater than 0, whereas the net drifts of mortality were less than 0, both were lower in the PRC than at the global level. Decomposition analysis indicated that the changes of incidence and mortality in the PRC were mainly attributed to epidemiological changes. Additionally, global disparities in epilepsy decreased, with the burden concentrating in low SDI countries.

Conclusion

The incidence of epilepsy in the PRC rose during the 30-year study period, while epilepsy mortality decreased. The improved survival rate in the PRC is predominantly attributable to epidemiological changes. The burden of epilepsy in the PRC predominantly affects males, children, and the elderly, Chinese government should focus on specific populations.

Burden of multiple myeloma in China: an analysis of the Global Burden of Disease, Injuries, and Risk Factors Study 2019

BACKGROUND

There is limited data to comprehensively evaluate the epidemiological characteristics of multiple myeloma (MM) in China; therefore, this study determined the characteristics of the disease burden of MM at national and provincial levels in China.

METHODS

The burden of MM, including incidence, mortality, prevalence, and disability-adjusted life years (DALYs), with a 95% uncertainty interval (UI), was determined in China following the general analytical strategy used in the Global Burden of Disease, Injuries, and Risk Factors Study 2019. The trends in the burden of MM from 1990 to 2019 were also evaluated.

RESULTS

There were an estimated 347.45 thousand DALYs with an age-standardized DALY rate of 17.05 (95% UI, 12.31-20.77) per 100,000 in 2019. The estimated number of incident case and deaths of MM were 18,793 and 13,421, with age-standardized incidence and mortality rates of 0.93 (95% UI, 0.67-1.15) and 0.67 (95% UI, 0.50-0.82) per 100,000, respectively. The age-specific DALY rates per 100,000 increased to more than 10.00 in the 40 to 44 years age group reaching a peak (93.82) in the 70 to 74 years age group. Males had a higher burden than females, with approximately 1.5- to 2.0-fold sex difference in age-specific DALY rates in all age groups. From 1990 to 2019, the DALYs of MM increased 134%, from 148,479 in 1990 to 347,453 in 2019.

CONCLUSION

The burden of MM has doubled over the last three decades, which highlights the need to establish effective disease prevention and control strategies at both the national and provincial levels.

Effectiveness and Safety of Non-Invasive Neuromodulation for Vision Restoration: A Systematic Review and Meta-Analysis

We carried out a systematic review and meta-analysis to determine the effectiveness and safety of non-invasive electrical stimulation (NES) for vision restoration. We systematically searched for randomised controlled trials (RCTs) comparing NES with sham stimulation, for vision restoration between 2000 and 2022 in CENTRAL, MEDLINE, EMBASE, and LILACS. The main outcomes were as follows: visual acuity (VA); detection accuracy; foveal threshold; mean sensitivity as the parameter for the visual field; reading performance; contrast sensitivity (CS); electroencephalogram; quality of life (QoL), and safety. Two reviewers independently selected studies, extracted data, and evaluated the risk of bias using the Cochrane risk of bias 2.0 tool. The certainty in the evidence was determined using the GRADE framework. Protocol registration: CRD42022329342. Thirteen RCTs involving 441 patients with vision impairment indicate that NES may improve VA in the immediate post-intervention period (mean difference [MD] = -0.02 logMAR, 95% confidence intervals [CI] -0.08 to 0.04; low certainty), and probably increases QoL and detection accuracy (MD = 0.08, 95% CI -0.25 to 0.42 and standardised MD [SMD] = 0.09, 95% CI -0.58 to 0.77, respectively; both moderate certainty). NES likely results in little or no difference in mean sensitivity (SMD = -0.03, 95% CI -0.53 to 0.48). Compared with sham stimulation, NES increases the risk of minor adverse effects (risk ratio = 1.24, 95% CI 0.99 to 1.54; moderate certainty). The effect of NES on CS, reading performance, and electroencephalogram was uncertain. Our study suggests that although NES may slightly improve VA, detection accuracy, and QoL, the clinical relevance of these findings remains uncertain. Future research should focus on improving the available evidence's precision and consistency.

Efficacy of corneal curvature on the accuracy of 8 intraocular lens power calculation formulas in 302 highly myopic eyes

PURPOSE

To investigate the effect of corneal curvature (K) on the accuracy of 8 intraocular lens formulas in highly myopic eyes.

SETTING

Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, China.

DESIGN

Retrospective consecutive case series.

METHODS

302 eyes (302 patients) were analyzed in subgroups based on the K value. The mean refractive error, mean absolute error (MAE), median absolute error (MedAE), root-mean-square absolute prediction error (RMSAE) and proportions of eyes within ±0.25 diopter (D), ±0.50 D, ±0.75 D, ±1.00 D were statistical analyzed.

RESULTS

Emmetropia Verifying Optical (EVO) 2.0, Kane, and Radial Basis Function (RBF) 3.0 had the lower MAE (≤0.28) and RMSAE (≤0.348) and highest percentage of eyes within ±0.50 D (≥83.58%) in the flat (K ≤ 43 D) and steep K (K > 45 D) groups. Hoffer QST had the lowest MedAE (0.19), RMSAE (0.351) and the highest percentage of eyes within ±0.50 D (82.98%) in the normal K group (43 < K ≤ 45 D). When axial length (AL) ≤28 mm, all formulas showed close RMSAE values (0.322 to 0.373) in flat K group. When AL >28 mm, RBF 3.0 achieved the lowest MAE (≤0.24), MedAE (≤0.17) and RMSAE (≤0.337) across all subgroups.

CONCLUSIONS

EVO 2.0, Kane, and RBF 3.0 were the most accurate in highly myopic eyes with a flat or steep K. Hoffer QST is recommended for long eyes with normal K values. RBF 3.0 showed the highest accuracy when AL >28 mm, independent of corneal curvature.

External validation of a deep learning detection system for glaucomatous optic neuropathy: a real-world multicentre study

OBJECTIVES

To conduct an external validation of an automated artificial intelligence (AI) diagnostic system using fundus photographs from a real-life multicentre cohort.

METHODS

We designed external validation in multiple scenarios, consisting of 3049 images from Qilu Hospital of Shandong University in China (QHSDU, validation dataset 1), 7495 images from three other hospitals in China (validation dataset 2), and 516 images from high myopia (HM) population of QHSDU (validation dataset 3). The corresponding sensitivity, specificity and accuracy of this AI diagnostic system to identify glaucomatous optic neuropathy (GON) were calculated.

RESULTS

In validation datasets 1 and 2, the algorithm yielded accuracy of 93.18% and 91.40%, area under the receiver operating curves (AUC) of 95.17% and 96.64%, and significantly higher sensitivity of 91.75% and 91.41%, respectively, compared to manual graders. On the subsets complicated with retinal comorbidities, such as diabetic retinopathy or age-related macular degeneration, in validation datasets 1 and 2, the algorithm achieved accuracy of 87.54% and 93.81%, and AUC of 97.02% and 97.46%, respectively. In validation dataset 3, the algorithm achieved comparable accuracy of 81.98% and AUC of 87.49%, with a sensitivity of 83.61% and specificity of 81.76% on GON recognition specifically in the HM population.

CONCLUSIONS

With acceptable generalization capability across varying levels of image quality, different clinical centres, or certain retinal comorbidities, such as HM, the automatic AI diagnostic system had the potential to provide expert-level glaucoma detection.