RESUMO
BACKGROUND: In 2021, WHO Member States endorsed a global target of a 40-percentage-point increase in effective refractive error coverage (eREC; with a 6/12 visual acuity threshold) by 2030. This study models global and regional estimates of eREC as a baseline for the WHO initiative. METHODS: The Vision Loss Expert Group analysed data from 565â448 participants of 169 population-based eye surveys conducted since 2000 to calculate eREC (met need/[met needâ+âundermet needâ+âunmet need]). A binary logistic regression model was used to estimate eREC by Global Burden of Disease (GBD) Study super region among adults aged 50 years and older. FINDINGS: In 2021, distance eREC was 79·1% (95% CI 72·4-85·0) in the high-income super region; 62·1% (54·7-68·8) in north Africa and Middle East; 49·5% (45·0-54·0) in central Europe, eastern Europe, and central Asia; 40·0% (31·7-48·2) in southeast Asia, east Asia, and Oceania; 34·5% (29·4-40·0) in Latin America and the Caribbean; 9·0% (6·5-12·0) in south Asia; and 5·7% (3·1-9·0) in sub-Saharan Africa. eREC was higher in men and reduced with increasing age. Global distance eREC increased from 2000 to 2021 by 19·0%. Global near vision eREC for 2021 was 20·5% (95% CI 17·8-24·4). INTERPRETATION: Over the past 20 years, distance eREC has increased in each super region yet the WHO target will require substantial improvements in quantity and quality of refractive services in particular for near vision impairment. FUNDING: WHO, Sightsavers, The Fred Hollows Foundation, Fondation Thea, Brien Holden Vision Institute, Lions Clubs International Foundation.
Assuntos
Saúde Global , Erros de Refração , Adulto , Masculino , Humanos , Pessoa de Meia-Idade , Idoso , Carga Global da Doença , África Subsaariana , Europa (Continente) , Erros de Refração/epidemiologia , Erros de Refração/terapiaRESUMO
AIM: To access the association of forty-eight single nucleotide polymorphisms (SNPs) identified from Caucasian population with steroid-induced ocular hypertension (OHT) in India population. METHODS: Fifty-four triamcinolone-acetonide (TA) and forty-seven dexamethasone (Dex) administered subjects were enrolled in the study after a written consent. Intraocular pressure (IOP) values were recorded for a period of 6-month post steroid injections and patients were grouped as steroid-responders (SR: IOP≥21 mm Hg) and non-responders (NR: IOP≤20 mm Hg). Genomic DNA was isolated from peripheral venous blood. Forty-eight SNPs identified in TA treated Caucasian patients by genome wide association study (GWAS) were genotyped using iPLEX™ MassARRAY among TA as well as Dex administered Indian patients. Genotyping data of 48 general subjects from a previous study were considered as reference controls for statistical analysis. Genotypic frequencies were calculated and P-value, Chi-square and odds ratio at 95% confidence-interval of group A (steroid treated vs controls), group B (SR vs NR), group C (phenotype correlation: influence of time, severity and gender on IOP rise), were calculated. P<0.05 was considered to be statistically significant. RESULTS: OHT was observed in 50% of TA and 26% of Dex administered patients, respectively. IOP rise was mostly severe (>30 mm Hg) and immediate (<1wk) among TA-SR patients while it was noticed to be mild (<30 mm Hg) and between 1-2mo among Dex-SR patients. Logistic regression for risk factor correlation with OHT remained non-significant, hence these factors were not considered as confounding parameters for further analysis. rs133, rs34016742, rs274554, rs10936746, rs274547, rs804854, rs7751500, rs359498, and rs7547448 SNPs significantly varied even after Bonferroni corrections (P<0.0025; group A). rs1879370 (TA) and rs6559662 (Dex) were significantly (P<0.05) associated with OHT (group B). rs133 (severe IOP rise), rs11047639 and rs1879370 (male gender), and rs11171569 (immediate IOP rise) significantly (P<0.05) influenced the phenotype correlation only among TA-OHT patients. However, the significance of these SNPs in group B and phenotype analysis (group C) was lost upon Bonferroni corrections (P<0.0025). CONCLUSION: Prevalence of OHT in study population is observed to be similar to other studies both in TA and Dex treated patients. We can correlate rs34016742 involved in diabetes signaling pathway to the occurrence of ocular edematous and inflammatory conditions. Except rs133 that is involved in neuro-degeneration and myopia occurrence, none of the other SNPs identified in Caucasian population possess any correlation with OHT incidence in TA and Dex administered Indian subjects.
RESUMO
Over the last decade the prevalence of glaucoma has been reported by the Vellore Eye Survey, Andhra Pradesh Eye Disease Study, Aravind Comprehensive Eye Survey, Chennai Glaucoma Study, and West Bengal Glaucoma Study. There have been some differences largely because of methodologic variations. We use the reported age and gender stratified prevalence estimates from these studies and the Indian population census estimates to calculate the number of persons with glaucoma or at risk of the disease in the country. On the basis of the available data, we estimate that there are approximately 11.2 million persons aged 40 years and older with glaucoma in India. Primary open angle glaucoma is estimated to affect 6.48 million persons. The estimated number with primary angle-closure glaucoma is 2.54 million. Those with any form of primary angle-closure disease could comprise 27.6 million persons. Most of those with disease are undetected and there exist major challenges in detecting and treating those with disease. In the light of the existing manpower and resource constraints, we evaluate options for improving case detection rates in the country.