| Literature DB >> 26881225 |
Xiaochun Li1, Xiaoguang Cao2, Xianru Hou2, Yongzhen Bao2.
Abstract
PURPOSE: Clinically, what is the best time for age-related cataract (ARC) patients to receive surgeries and get the most benefits is important. We explored the relationship between age and presenting postoperative visual acuity (POVA) in patients from rural China.Entities:
Mesh:
Year: 2016 PMID: 26881225 PMCID: PMC4736385 DOI: 10.1155/2016/7147543
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
CSR of China 2010.
| Province | Population | Cataract | Charge-free cataract surgeries | CSR | Charge-free CSR | Ratio of charge-free cataract |
|---|---|---|---|---|---|---|
| Beijing | 19612368 | 11961 | 1402 | 610 | 71 | 11.72% |
| Shanxi | 35712101 | 15902 | 4929 | 445 | 138 | 31.00% |
| Henan | 94029939 | 36935 | 9915 | 393 | 105 | 26.84% |
CSR: cataract surgical rate.
Demographic characteristics of the three missions.
| Zhoukou | Yuncheng | Sanmenxia |
| |
|---|---|---|---|---|
| Age (years) | 69.82 ± 7.09 | 70.21 ± 6.91 | 70.04 ± 7.27 | 0.467 |
|
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| POVA (LogMAR) | 0.32 ± 0.25 | 0.31 ± 0.23 | 0.26 ± 0.23 | 0.000 |
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| Sex male/female | 326/565 | 442/760 | 506/853 | 0.946 |
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| Operated eye right/left | 494/397 | 625/577 | 682/677 | 0.050 |
First-day postoperative visual acuity (POVA).
| Regions | Gender | Age range (years) | Equal to or better than 6/18 | Worse than 6/18 |
|---|---|---|---|---|
| Zhoukou, Henan province | Male | 50–59 | 33 | 3 |
| 60–69 | 106 | 11 | ||
| 70- | 146 | 27 | ||
| Female | 50–59 | 48 | 5 | |
| 60–69 | 147 | 25 | ||
| 70- | 265 | 75 | ||
| Sum | 745 | 146 | ||
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| Yuncheng, Shanxi province | Male | 50–59 | 50 | 2 |
| 60–69 | 133 | 11 | ||
| 70- | 214 | 32 | ||
| Female | 50–59 | 42 | 3 | |
| 60–69 | 216 | 32 | ||
| 70- | 387 | 80 | ||
| Sum | 1042 | 160 | ||
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| Sanmenxia, Henan province | Male | 50–59 | 45 | 0 |
| 60–69 | 139 | 13 | ||
| 70- | 279 | 30 | ||
| Female | 50–59 | 82 | 3 | |
| 60–69 | 258 | 22 | ||
| 70- | 418 | 70 | ||
| Sum | 1221 | 138 | ||
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| Total of three regions | Male | 50–59 | 128 | 5 |
| 60–69 | 378 | 35 | ||
| 70- | 639 | 89 | ||
| Female | 50–59 | 172 | 11 | |
| 60–69 | 621 | 79 | ||
| 70- | 1070 | 225 | ||
| Sum | 3008 | 444 | ||
p < 0.05 between three age ranges with chi-square test.
Correlation of age and POVA.
| Zhoukou | Yuncheng | Sanmenxia | Total | ||
|---|---|---|---|---|---|
| Correlations | Pearson | 0.271 | 0.221 | 0.221 | 0.232 |
|
| 0.000 | 0.000 | 0.000 | 0.000 | |
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|
| 0.271 | 0.221 | 0.221 | 0.232 | |
|
| 0.073 | 0.049 | 0.049 | 0.054 | |
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| ANOVA |
| 70.312 | 61.522 | 69.588 | 196.721 |
|
| 0.000 | 0.000 | 0.000 | 0.000 | |
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| Coefficients | Constant | −0.335 | −0.193 | −0.218 | −0.238 |
|
| 0.009 | 0.007 | 0.007 | 0.008 | |
|
| 8.385 | 7.844 | 8.342 | 14.026 | |
|
| 0.000 | 0.000 | 0.000 | 0.000 | |
Correlation of age and POVA for male patients.
| Zhoukou | Yuncheng | Sanmenxia | Total | ||
|---|---|---|---|---|---|
| Correlations | Pearson | 0.290 | 0.170 | 0.206 | 0.206 |
|
| 0.000 | 0.000 | 0.000 | 0.000 | |
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| 0.290 | 0.170 | 0.206 | 0.206 | |
|
| 0.084 | 0.029 | 0.042 | 0.042 | |
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| ANOVA |
| 29.687 | 13.078 | 22.272 | 56.452 |
|
| 0.000 | 0.000 | 0.000 | 0.000 | |
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| Coefficients | Constant | −0.384 | −0.073 | −0.217 | −0.189 |
|
| 0.009 | 0.005 | 0.006 | 0.006 | |
|
| 5.449 | 3.616 | 4.719 | 7.513 | |
|
| 0.000 | 0.000 | 0.000 | 0.000 | |
Correlation of age and POVA for female patients.
| Zhoukou | Yuncheng | Sanmenxia | Total | ||
|---|---|---|---|---|---|
| Correlations | Pearson | 0.245 | 0.239 | 0.241 | 0.244 |
|
| 0.000 | 0.000 | 0.000 | 0.000 | |
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|
| 0.245 | 0.239 | 0.241 | 0.244 | |
|
| 0.060 | 0.057 | 0.058 | 0.059 | |
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| ANOVA |
| 35.875 | 45.907 | 52.585 | 137.596 |
|
| 0.000 | 0.000 | 0.000 | 0.000 | |
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| Coefficients | Constant | −0.256 | −0.248 | −0.238 | −0.255 |
|
| 0.009 | 0.008 | 0.007 | 0.008 | |
|
| 5.990 | 6.775 | 7.252 | 11.730 | |
|
| 0.000 | 0.000 | 0.000 | 0.000 | |