| Literature DB >> 34737869 |
Yichi Zhang1, Aiming Chen2, Minjie Zou3, Zhenlan Yang1, Danying Zheng3, Min Fan4, Guangming Jin3.
Abstract
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.Entities:
Mesh:
Year: 2021 PMID: 34737869 PMCID: PMC8564881 DOI: 10.7189/jogh.11.08009
Source DB: PubMed Journal: J Glob Health ISSN: 2047-2978 Impact factor: 4.413
Figure 1Prevalence of age-related macular degeneration from 1990 to 2019 in China.
Figure 2Disability-adjusted life years of age-related macular degeneration from 1990 to 2019 in China.
Figure 3Age-related macular degeneration disability-adjusted life years in different age groups and rate in 2019.
Figure 4Distribution of age-standardized prevalence and disability-adjusted life years (DALY) due to age-related macular degeneration in China and other seven neighboring countries in 1990 and 2019. A. Age-standardized prevalence rate in 1990, B. age-standardized prevalence rate in 2019, C. age-standardized DALY rates in 1990 and D. age-standardized DALY rates in 2019.
Prevalent cases and DALY in 2019 for age-related macular degeneration in China for both sexes and percentage change of age-standardized rates by GBD regions
| Countries or regions | Prevalent cases (95% UI) | DALYs (95% UI) | ||||
|---|---|---|---|---|---|---|
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| China | 2 601 883.03 (2 134 011.4, -3 114 761.87) | 131.97 (109.37, 156.91) | 8.77 (8.27, 9.29) | 142 065.76 (97 100.02, 197 277.11) | 7.22 (4.91, 10.06) | -3.40 (-4.91, -2.25) |
| Global | 7 792 530.04 (6 526 081.5, 9 159 394.94) | 96.76 (81.32, 113.20) | -2.04 (-2.34, -1.77) | 564 055.10 (392 930.70, 789 194.64) | 7.05 (4.92, 9.84) | -14.96 (-17.57, -12.60) |
| High-Income Asia Pacific | 105 854.63 (87 551.31, 125 058.63) | 19.69 (16.30, 23.36) | -11.39 (-12.78, -10.09) | 10 622.68 (7 186.98, 15 401.48) | 2.01 (1.36, 2.90) | -17.62 (-22.99, -13.06) |
| High-Income North America | 187 099.23 (156 483.37, 219 524.61) | 27.17 (22.58, 31.92) | -5.17 (-6.04, -4.38) | 18 170.68 (12 528.56, 25 683.35) | 2.64 (1.81, 3.75) | -9.28 (-13.21, -6.20) |
| Western Europe | 976 388.69 (825 781.48, 1 138 807.18) | 93.13 (78.71, 108.25) | -13.65 (-14.31, -13.01) | 97 364.81 (67 087.70, 137 766.58) | 9.31 (6.39, 13.09) | -19.18 (-21.58, -16.95) |
| Australasia | 20 593.54 (17 012.15, 24 503.01) | 37.96 (31.26, 45.24) | -11.56 (-12.55, -10.61) | 2 080.78 (1 405.74, 2989.83) | 3.86 (2.59, 5.58) | -17.17 (-20.90, -13.85) |
| Andean Latin America | 61 461.71 (50 861.49, 73 157.27) | 113.58 (94.10, 135.01) | -2.31 (-2.60, -2.05) | 4 391.82 (3 022.64, 6180.43) | 8.12 (5.58, 11.41) | -11.55 (-13.79, -9.55) |
| Tropical Latin America | 193 602.30 (161 055.55, 230 808.98) | 82.06 (68.01, 97.85) | -2.04 (-2.37, -1.75) | 11 324.86 (7 848.25, 15 618.62) | 4.82 (3.34, 6.77) | -5.86 (-8.26, -3.99) |
| World Bank High Income | 1 442 595.81 (1 222 029.06, 1 679 476.12) | 56.50 (47.67, 65.83) | -17.05 (-17.96, -16.16) | 138 734.49 (96 224.71, 195 762.36) | 5.43 (3.72, 7.60) | -22.87 (-26.15, -19.81) |
| World Bank Upper Middle Income | 3 643 719.82 (301 800.26, 4 346 608.00) | 109.78 (91.44, 130.09) | 10.64 (10.04, 11.27) | 216 026.12 (147 276.16, 300 471.34) | 6.53 (4.48, 9.14) | -2.97 (-4.55, -1.82) |
| World Bank Lower Middle Income | 2 361 108.82 (1 943 071.48, 2 823 342.44) | 109.04 (90.55, 129.12) | 17.14 (16.50, 17.79) | 183 581.24 (126 110.39, 258 121.96) | 8.53 (5.90, 11.98) | -23.84 (-26.45, -21.37) |
| World Bank Low Income | 342 354.9 (284 927.70, 410 092.38) | 127.63 (105.98, 150.92) | 13.11 (12.49, 13.74) | 25 470.66 (17 345.89, 35 366.04) | 9.51 (6.50, 13.41) | 0.74 (0.29, 1.52) |
DALY = disability-adjusted life years, UI – uncertainty interval