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.

Rapid authentication of variants of Gastrodia elata Blume using near-infrared spectroscopy combined with chemometric methods.

The variety is one of the most important factors to generate difference of chemical compositions, which unavoidably influences the quality of natural medicine. Thus, simple and rapid authentication of different variants has great academic and practical significance. In this study, the goal was achieved with the help of near infrared spectroscopy (NIR) and chemometrics by using Gastrodia elata Blume as an example. A total of 540 samples including two classes of variants and their forms were investigated as a whole. The mean spectra of samples of each class and their 2-D synchronous correlation spectra were simultaneously applied to discover the difference of chemical characteristics. After hybrid pre-processing of the first and second derivative combined with Savitzky-Golay and Norris filtering, partial least squares discrimination analysis (PLS-DA) on the basis of latent variable projection was used to assess the feasibility for classification. The results show higher prediction accuracy in both internal test set and external prediction set. In order to further improve the robustness for modeling, three methods for wavelength selection were comprehensively compared to optimize PLS-DA models, including variable importance in the projection (VIP), random frog (RF), and Monte Carlo uninformative variable elimination (MC-UVE). The prediction accuracy of combination of the 2nd derivative, Norris, MC-UVE and PLS-DA achieved to 99.11% and 98.89% corresponding to the internal test set and external prediction set, respectively. The strategies proposed in this work perform effectiveness for rapid and accurate authentication of variants of plants with high chemical complexity.

Time trends and heterogeneity in the disease burden of trachoma, 1990-2019: a global analysis.

PURPOSE: To evaluate the epidemiological trends and associated risk factors of disease burden due to trachoma. METHODS: Data for the country-specific disability-adjusted life year (DALY) number, rate and age-standardised rate of trachoma together with related data of other common eye diseases were acquired from the Global Burden of Disease Study 2019 database. The Socio-Demographic Index (SDI), Human Development Index (HDI), inequality-adjusted HDI and other related indices were obtained from published data or publicly available databases. Regression analyses were conducted to evaluate the associations between potential risk factors and the age-standardised DALY burden of trachoma. RESULTS: The global DALY burden due to trachoma decreased by 37% from 1990 to 2019 and decreased by 69.8% after adjusting for age and population growth, and, in available 1990-2019 data, had the greatest reduction in attributable DALYs of all common eye disease, with the others analysed being cataract, glaucoma, refractive disorders and age-related macular degeneration. Women had higher age-standardised DALY burden due to trachoma than men (p<0.001). The African region (p<0.001) had the heaviest burden among global regions. The age-standardised DALY rate was higher in countries with lower income (p<0.001) and lower SDI (p<0.001). Higher disease burden due to trachoma was associated with lower HDI (ß=-48.102, 95% CI -86.888 to -9.316, p=0.016), lower SDI (ß=-48.063, 95% CI -83.702 to -12.423, p<0.001) and lower expected years of schooling (ß=-2.352, 95% CI -3.756 to -0.948, p=0.002). CONCLUSIONS: The global disease burden due to trachoma decreased from 1990 to 2019 and it had the greatest reduction compared with other common eye diseases. Lower HDI, socioeconomic status and educational level were related to a higher national disease burden of trachoma. Our findings could provide necessary information for trachoma control and prevention.

Burden of near vision loss in China: findings from the Global Burden of Disease Study 2019.

PURPOSE: To investigate the burden of near vision loss (NVL) in China by year, age and gender from 1990 to 2019. METHODS: We used estimates from the Global Burden of Disease (GBD) 2019 study to report the prevalence and disability-adjusted life-years (DALYs) due to NVL in China. Estimates of crude counts and age-standardised rates per 100 000 population are accompanied by 95% uncertainty intervals (UIs). We summarised the age-specific and sex-specific patterns and trends regarding the burden of NVL in China, compared with seven neighbouring countries. RESULTS: From 1990 to 2019, the all-age number and rate for NVL prevalence and DALYs increased significantly in China (all p<0.001). The age-standardised rate decreased from 7538.1 (95% UI 6946.3 to 8075.1) to 7392.9 (95% UI 6855.8 to 7890.5) per 100 000 population for NVL prevalence (p=0.107), and from 74.9 (95% UI 69.6 to 79.9) to 73.8 (95% UI 70.6 to 80.1) per 100 000 population for DALYs (p=0.388). Women had higher NVL prevalence (t=170.1, p<0.001) and DALYs (t=192.5, p<0.001) than men. Higher disease burden of NVL was observed in the middle-aged and elderly population. The age-standardised prevalence and DALY rate attributable to NVL in China were lower than in India, North Korea, Pakistan (all p<0.001), but higher than Russia, South Korea, Singapore and Japan (all p<0.001). CONCLUSIONS: Despite a small decrease in age-standardised prevalence and DALYs due to NVL in China in the past two decades, the existing burden is still considerable and significantly higher compared with neighbouring developed countries. An approach that includes all stakeholders is needed to further reduce this burden.

Time trends and associated factors of global burden due to drug use disorders in 204 countries and territories, 1990-2019.

BACKGROUND: Drug use disorders (DUDs) have been a public health crisis which strongly impacted community health and socio-economic development. However, there are few studies based on the latest global data to show changes in the disease burden due to DUDs, specifically investigating associations between the country-level socio-economic factors and the burden of DUDs. METHODS: Data of DUDs were extracted from the Global Burden of Disease Study 2019 database to explore the trends of the disease burden due to DUDs from 1990 to 2019. Univariate linear regression and stepwise multiple linear regression analysis were performed to analyze the correlations between burden due to DUDs and country-level socio-economic factors. RESULTS: Globally, the number of disability-adjusted life-years (DALYs) caused by DUDs approximately increased by 2.6% yearly from 1990 to 2019, though the age-standardized DALY rate has not changed significantly in the past 30 years. The age-standardized DALY rate of opioid use disorders showed an upward trend during the past 30 years and was highest among 5 types of DUDs in 2019. Inequality-adjusted human development index (ß = 15.9, 95% confidence interval [CI]: 12.9-18.9, P < 0.001) was identified as the key risk factor associated with square-root transformed age-standardized DALY rate of DUDs. CONCLUSIONS: Global burden due to DUDs has increased significantly over the past 30 years. More effective targeted public health policies should be formulated to manage the public health challenge of DUDs, especially in developed countries and territories.

Time trends, associations and prevalence of blindness and vision loss due to glaucoma: an analysis of observational data from the Global Burden of Disease Study 2017.

OBJECTIVE: To estimate global prevalence of blindness and vision loss caused by glaucoma, and to evaluate the impact of socioeconomic factors on it. DESIGN: A population-based observational study. SETTING: The prevalence of blindness and vision loss due to glaucoma were obtained from the Global Burden of Disease Study 2017 database. The Human Development Index (HDI), inequality-adjusted HDI and other socioeconomic data were acquired from international open databases. MAIN OUTCOME MEASURES: The prevalence of blindness and vision loss due to glaucoma by age, gender, subregion and Socio-Demographic Index (SDI) levels. Multiple linear regression analysis was performed to explore the associations between the prevalence and socioeconomic indicators. RESULTS: The overall age-standardised prevalence of blindness and vision loss due to glaucoma worldwide was 81.5 per 100 000 in 1990 and 75.6 per 100 000 in 2017. In 2017, men had a higher age-standardised prevalence than women (6.07% vs 5.42%), and the worldwide prevalence increased with age, from 0.5 per 100 000 in the 45-49 year age group to 112.9 per 100 000 among those 70+. Eastern Mediterranean and African regions had the highest prevalence during the whole period, while the Americas region had the lowest prevalence. The prevalence was highest in low-SDI and low-income regions while lowest in high-SDI and high-income regions over the past 27 years. Multiple linear regression showed cataract surgery rate (ß=-0.01, p=0.009), refractive error prevalence (ß=-0.03, p=0.024) and expected years of schooling (ß= -8.33, p=0.035) were associated with lower prevalence, while gross national income per capita (ß=0.002, p<0.001) was associated with higher prevalence. CONCLUSIONS: Lower socioeconomic levels and worse access to eyecare services are associated with higher prevalence of glaucoma-related blindness and vision loss. These findings provide evidence for policy-makers that investments in these areas may reduce the burden of the leading cause of irreversible blindness.

Time trends, associations and global burden of intraocular foreign bodies.

PURPOSE: To estimate the disease burden due to intraocular foreign bodies (IOFBs) and evaluate contributions of various risk factors to IOFB-associated disability-adjusted life-years (DALYs). METHODS: Global, regional and country-level number, rate and age-standardised rate of DALYs due to IOFBs were acquired from the Global Burden of Disease Study 2017 database. The Human Development Index (HDI) and other region and country-level data were obtained from open databases. Time trends for number, rate and age-standardised rate of DALYs due to IOFBs were calculated. Regression analysis was used to evaluate associations between age-standardised rate of DALYs and potential predictors. RESULTS: Global DALYs due to IOFBs rose by 43.7% between 1990 (139 (95% CI 70.8 to 233) thousand) and 2017 (202 (95% CI 105 to 335) thousand). The DALY rate remained stable while the age-standardised rate decreased during this period. Higher disease burden due to IOFBs was associated with higher glaucoma prevalence (ß=0.006, 95% CI 0.003 to 0.09, p<0.001), lower refractive error prevalence (ß=-0.0005, 95% CI -0.0007 to -0.0002, p<0.001), and lower income (ß=-0.020, 95% CI -0.035 to -0.006, p=0.007). CONCLUSION: Predictors of a greater burden of IOFB disability generally point to lower socioeconomic level. The association with glaucoma may reflect a complication of IOFB, increasing risk of vision loss and disability.

Disease burden of age-related macular degeneration in China from 1990 to 2019: findings from the global burden of disease study.

BACKGROUND: To evaluate the disease burden of age-related macular degeneration (AMD) in terms of disability-adjusted life years (DALY) in China from 1990 to 2019. METHODS: Prevalence of blindness and vision loss due to AMD and DALY number, rate, and age-standardized rates of AMD were collected from the Global Burden of Disease Study 2019 database. The characters of variables were analyzed between China and its neighboring countries. RESULTS: From 1990 to 2019, the all-age number and rate for AMD prevalence and DALYs increased significantly in China, while the age standardized DALYs rate in 2019 showed a decrease of 3.63% compared with that in 1990. Females were found to have a higher prevalence and DALYs than males. The 65-69 age group had the highest AMD DALYs number, while the DALYs rate showed a positive association with age. In 2019, when compared to neighboring countries, the age standardized prevalence rate of AMD in China was ranked second after Pakistan, while the age standardized DALYs rate ranked second after Pakistan and India. CONCLUSIONS: Despite a small decrease in age standardized DALYs rate in China in the past three decades, the disease burden of AMD is still considerable and much higher compared to neighboring developed countries. Optimizing health services allocation is needed to further reduce this burden.

Variations and trends in global disease burden of age-related macular degeneration: 1990-2017.

PURPOSE: To evaluate the disease burden of age-related macular degeneration (AMD) and to evaluate the risk factors of disability-adjusted life years (DALY) caused by AMD. METHODS: Country-specific DALY number, rate and age-standardized rate of AMD were acquired from the Global Burden of Disease Study 2017 database. The Socio-demographic Index (SDI), Human Development Index (HDI), Inequality-adjusted Human Development Index (IA-HDI) and other related data were obtained from published data or shared databases. Regression analysis was conducted to evaluate the correlations between the potential risk factors and the age-standardized DALY rate of AMD. RESULTS: The DALY number doubled from 1990 to 2017, and DALY rate increased from 4.73 (95% CI: 3.19-6.54) to 6.95 (95% CI: 4.76-9.54). However, change was small after standardizing. Females tended to have severer burden. Disability-adjusted life years (DALY) rates were correlated to annual PM2.5 concentration, gross domestic product (GDP) per capita, population with at least some secondary education (secondary education), glaucoma prevalence and gross national income (GNI) per capita. In SDI model, glaucoma, GDP, healthcare access and quality index (HAQ) and secondary education were associated with disease burden (p < 0.001). In IA-HDI model, cataract, glaucoma, PM2.5, GDP and secondary education were correlated to DALY rates (p < 0.001). In model included four components of HDI, glaucoma, PM2.5, GDP, secondary education, expected years of schooling and life expectancy at birth were associated (p < 0.001). CONCLUSION: Being female, older age, poor socioeconomic status and less educated are associated with a heavier disease burden of AMD. These findings would provide a basic understanding for policy making on AMD prevention and treatment.