| Literature DB >> 35815296 |
Yi Sun1, Aiming Chen2, Minjie Zou3, Zhenzhen Liu3, Charlotte Aimee Young4, Danying Zheng3, Guangming Jin3.
Abstract
Purpose: To provide evidence for future strategies in preventing glaucomatous blindness by investigating the disease burden in terms of age, year, and gender from 1990 to 2019 in China.Entities:
Keywords: disability-adjusted life years; epidemiology; glaucoma; health burden
Year: 2022 PMID: 35815296 PMCID: PMC9266675 DOI: 10.2147/CLEP.S357188
Source DB: PubMed Journal: Clin Epidemiol ISSN: 1179-1349 Impact factor: 5.814
Figure 1Prevalence of blindness and vision loss due to glaucoma in China from 1990 to 2019. Prevalent cases (A) and age-standardized prevalence rate (B).
Figure 2DALYs of blindness and vision loss due to glaucoma in China from 1990 to 2019. DALYs number (A) and age-standardized DALYs rate (B).
Figure 3Age-specific number and crude rate of DALYs due to glaucoma by sex in China in 2019.
Figure 4Distribution of age-standardized prevalence rate of blindness and vision loss due to glaucoma and age-standardized DALYs rate in China and other neighboring countries in 1990 and 2019. Age-standardized prevalence of blindness and vision loss due to glaucoma in 1990 (A), age-standardized prevalence of blindness and vision loss due to glaucoma in 2019 (B), age-standardized DALYs rate in 1990 (C) and age-standardized DALYs rate in 2019 (D).
Prevalence of Blindness and Vision Loss Due to Glaucoma and DALYs Caused by Glaucoma in 2019 and Percentage Change of Age-Standardized Rates by GBD Region
| Prevalent Cases (95% UI) | DALYs (95% UI) | |||||
|---|---|---|---|---|---|---|
| Counts (2019) | Age-Standardized Rates (2019) | Percentage Change in Age-Standardized Rates Between 1990 and 2019 (%) | Counts (2019) | Age-Standardized Rates (2019) | Percentage Change in Age-Standardized Rates Between 1990 and 2019 | |
| China | 1,338,210 (1,111,298, 1,592,225) | 71.14 (59.34, 84.43) | −19.66 (−22.44, −17.09) | 112,528 (77,533, 160,898) | 5.99 (4.14, 8.42) | −40.87 (−43.97, −37.82) |
| Global | 7,473,400 (6,347,183, 8,769,520) | 94.68 (80.42, 110.87) | −15.37 (−17.62, −13.31) | 748,308 (515,636, 1,044,667) | 9.52 (6.58, 13.22) | −25.51 (−27.99, −23.14) |
| High-Income Asia pacific | 292,514 (249,497, 340,022) | 52.92 (45.33, 61.29) | −14.92 (−15.83, −14.04) | 31,811 (21,984, 43,721) | 5.85 (4.01, 8.09) | −20.84 (−23.95, −17.96) |
| High-Income North America | 294,458 (249,498, 343,827) | 42.17 (35.71, 49.24) | −2.86 (−3.40, −2.38) | 30,561 (21,274, 41,693) | 4.38 (3.05, 5.96) | −5.19 (−7.63, −3.36) |
| Western Europe | 690,822 (570,690, 822,355) | 63.73 (53.14, 75.27) | −17.27 (−18.13, −16.43) | 81,583 (55,393, 113,969) | 7.61 (5.18, 10.63) | −21.38 (−24.10, −18.84) |
| Australasia | 28,496 (23,616, 34,370) | 51.56 (42.90, 61.83) | −10.18 (−10.99, −9.41) | 2863 (1937, 4008) | 5.21 (3.541, 7.30) | −15.28 (−18.38, −12.53) |
| Andean Latin America | 75,131 (62,646, 90,013) | 140.90 (117.27, 169.10) | −27.08 (−33.95, −20.94) | 7851 (5270, 11,067) | 14.76 (9.86 20.79) | −36.08 (−38.07, −34.11) |
| Tropical Latin America | 370,684 (313,202, 436,338) | 161.37 (136.18, 189.81) | −17.86 (−23.95, −12.76) | 33,436 (23,076, 46,432) | 14.64 (10.06, 20.26) | −23.87 (−25.84, −21.98) |
| World Bank High Income | 1,439,389 (1,208,275, 1,691,625) | 54.80 (46.17, 64.17) | −14.06 (−25.02, −6.64) | 159,401 (109,688, 220,261) | 6.10 (4.23 8.43) | −19.63 (−22.64, −16.86) |
| World Bank Upper Middle Income | 2,902,887 (2,441,644, 3,436,657) | 92.05 (77.70, 108.29) | −19.30 (−27.75, −12.51) | 267,674 (185,410, 378,386) | 8.56 (5.91, 11.99) | −34.05 (−36.70, −31.47) |
| World Bank Lower Middle Income | 2,634,852 (2,193,253, 3,124,538) | 130.63 (109.67, 154.22) | −23.39 (−30.46, −17.27) | 263,536 (180,140, 369,643) | 13.29 (9.15, 18.63) | −30.05 (−32.17, −28.00) |
| World Bank Low Income | 491,543 (412,300, 579,845) | 201.62 (168.79, 237.63) | −14.41 (−19.55, −10.19) | 57,172 (38,622, 81,709) | 23.69 (16.06, 33.40) | −20.66 (−22.16, −19.22) |
Abbreviations: DALYs, disability-adjusted life years; GBD, Global Burden of Disease; UI, uncertainty intervals.