The global incidence and disability of eye injury: an analysis from the Global Burden of Disease Study 2019

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Summary

Background

The aim of the present study was to estimate the incidence, years lived with disability (YLDs), and cause of eye injury at global, regional, and national levels by age and sex based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019.

Methods

This is a retrospective demographic analysis based on aggregated data. GBD 2019 included the burden of eye injury worldwide and its temporal and spatial characteristics in the past three decades. The Bayesian meta-regression tool and DisMod-MR 2.1 were used to analyse the estimates based on a linear regression mode of the age-standardised rates (ASR). Average annual percent change (AAPC) was calculated to represent the temporal trends of the ASR.

Findings

Globally, there were 59,933.29 thousand (95% uncertainty interval [UI]: 45,772.34–77,084.03) incident cases and 438.4 thousand (95% UI: 132.44–898.38) YLDs of eye injury in 2019. Both the ASR of incidence and YLDs decreased from 1990 to 2019, with AAPC −0.46 (95% confidence interval [CI]: −0.52 to −0.39) and −0.45 (95% CI: −0.52 to −0.39), respectively. Males had higher rates of incidence and YLDs in all age groups. Young and middle-aged adults had higher disease burdens. Regionally, Australasia had the highest ASR of YLDs to be 9.51 (95% UI: 3.00–19.58) per 100,000. Nationally, New Zealand had the highest burden of eye injury to be 11.33 (95% UI: 3.57–23.10) per 100,000. Foreign bodies, exposure to mechanical forces, and falls were the main causes of global eye injury burden in 2019, and there was an increased worldwide burden due to road injuries and executions and police conflict compared with 1990.

Interpretation

Our findings suggest that the incidence and burden of eye injury have decreased over the last 30 years, while the absolute number of eye injuries has substantially increased, representing a major public health concern. Males and young adults were affected to a greater degree than females and elder individuals. More attention should be paid to road injuries and executions and police conflict in order to prevent eye injury.

Funding

Guangdong Provincial People's Hospital (GDPH) Supporting Fund for Talent Program (KY0120220263).

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Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Theo Vos, Stephen S Lim, Cristiana Abbafati … (2022)

Summary Background In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990–2010 time period, with the greatest annualised rate of decline occurring in the 0–9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10–24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10–24 years were also in the top ten in the 25–49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50–74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and development investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Funding Bill & Melinda Gates Foundation.

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Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Christopher J L Murray, Aleksandr Y Aravkin, Peng Zheng … (2021)

Summary Background Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. Methods GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk–outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk–outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk–outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. Findings The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95% uncertainty interval [UI] 9·51–12·1) deaths (19·2% [16·9–21·3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12–9·31) deaths (15·4% [14·6–16·2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253–350) DALYs (11·6% [10·3–13·1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0–9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10–24 years, alcohol use for those aged 25–49 years, and high systolic blood pressure for those aged 50–74 years and 75 years and older. Interpretation Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. Funding Bill & Melinda Gates Foundation.

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The global impact of eye injuries.

B Thylefors, A Négrel (1998)

Using data compiled from the ophthalmic literature and WHO's Blindness Data Bank, the available information on eye injuries from an epidemiological and public health perspective has been extensively reviewed. This collection of data has allowed an analysis of risk factors, incidence, prevalence, and impact of eye injuries in terms of visual outcome. However, most of the estimates are based on information from More Developed Countries (MDCs). The severity of eye injuries can be assessed through proxy indicators such as: (i) potentially blinding bilateral injuries; (ii) open-globe injuries; (iii) endophthalmitis; (iv) enucleation or (v) defined visual impairment. Major risk factors for ocular injuries include age, gender, socioeconomic status and lifestyle. The site where the injury occurs is also related to a risk situation. Available information indicates a very significant impact of eye injuries in terms of medical care, needs for vocational rehabilitation and great socioeconomic costs. The global pattern of eye injuries and their consequences emerging from the present review, undertaken for planning purposes in the WHO Programme for the Prevention of Blindness, suggests that: some 55 million eye injuries restricting activities more than one day occur each year; 750,000 cases will require hospitalization each year, including some 200,000 open-globe injuries; there are approximately 1.6 million blind from injuries, an additional 2.3 million people with bilateral low vision from this cause, and almost 19 million with unilateral blindness or low vision. Further epidemiological studies are needed to permit more accurate planning of prevention and management measures; a standardized international template for reporting on eye injuries might be useful to this effect, along the lines of the reporting occurring through the US Eye Injury Registry.

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Author and article information

Contributors

Xiaohong Yang

Meixia Zhang

Lei Liu

Journal

Journal ID (nlm-ta): eClinicalMedicine

Journal ID (iso-abbrev): EClinicalMedicine

Title: eClinicalMedicine

Publisher: Elsevier

ISSN (Electronic): 2589-5370

Publication date PMC-release: 09 August 2023

Publication date Collection: August 2023

Publication date (Electronic): 09 August 2023

Volume: 62

Electronic Location Identifier: 102134

Affiliations

[a ]Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510080, China

[b ]School of Medicine South China University of Technology, Guangzhou, Guangdong, 510006, China

[c ]Department of Ophthalmology, The People's Hospital of Liaoning Province, 33 Wenyi Road, Shenhe District, Shenyang, 110016, China

[d ]Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, Guangdong, 510080, China

[e ]Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China

[f ]Macular Disease Research Laboratory, Department of Ophthalmology, Sichuan University, West China Hospital, Chengdu, Sichuan, 610041, China

Author notes

[∗ ]Corresponding author. syyangxh@ 123456scut.edu.cn

[∗∗ ]Corresponding author. Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China. zhangmeixia@ 123456scu.edu.cn

[∗∗∗ ]Corresponding author. liulei@ 123456gdph.org.cn

[g]

Contributed equally to this work.

Article

Publisher Item ID: S2589-5370(23)00311-5 Publisher ID: 102134

DOI: 10.1016/j.eclinm.2023.102134

PMC ID: 10432781

PubMed ID: 37599904

SO-VID: da401f67-0ce2-4bf4-a327-7adc5909cb4e

License:

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

History

Date received : 6 May 2023

Date revision received : 16 July 2023

Date accepted : 18 July 2023

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The global incidence and disability of eye injury: an analysis from the Global Burden of Disease Study 2019

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Planning for the future: International Development Planning Review & the UN Sustainable Development Goals (SDGs)

Most cited references 35

Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

The global impact of eye injuries.

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