| Literature DB >> 35571178 |
Lihua Zhang1, Bei Liu2, Huimin Li3, Chengxiang Wang4, Shimin Yang5, Zhongliang Li4.
Abstract
Background: Although congenital heart defect (CHD) was the dominating birth defect, the time trend analysis of CHD was largely unknown. In our study, the time trend analysis of CHD from 2005 to 2020 in Jinan was conducted, aimed to reveal the epidemiological characteristics in a city and provided the data basis for the government to make a policy intervention.Entities:
Keywords: causes analysis; congenital heart disease; epidemiology; prevalence; time trend analysis
Year: 2022 PMID: 35571178 PMCID: PMC9092597 DOI: 10.3389/fcvm.2022.815137
Source DB: PubMed Journal: Front Cardiovasc Med ISSN: 2297-055X
The prevalence of CHD between urban areas and rural areas from 2005 to 2020.
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| 2005 | 19,467 | 43 | 2.21 | 27,835 | 29 | 1.04 | 47,302 | 72 | 1.52 | 52.83 |
| 2006 | 18,957 | 58 | 3.06 | 3,1007 | 53 | 1.71 | 49,964 | 111 | 2.22 | 44.13 |
| 2007 | 25,889 | 84 | 3.24 | 35,782 | 69 | 1.93 | 61,671 | 153 | 2.48 | 40.57 |
| 2008 | 24,475 | 85 | 3.47 | 35,329 | 73 | 2.07 | 59,804 | 158 | 2.64 | 40.50 |
| 2009 | 26,593 | 90 | 3.38 | 40,145 | 76 | 1.89 | 66,738 | 166 | 2.49 | 44.06 |
| 2010 | 36,732 | 142 | 3.87 | 44,228 | 100 | 2.26 | 80,960 | 242 | 2.99 | 41.51 |
| 2011 | 36,700 | 149 | 4.06 | 44,722 | 115 | 2.57 | 81,422 | 264 | 3.24 | 36.66 |
| 2012 | 39,763 | 195 | 4.90 | 49,291 | 158 | 3.21 | 89,054 | 353 | 3.96 | 34.64 |
| 2013 | 35,551 | 178 | 5.01 | 41,907 | 132 | 3.15 | 77,458 | 310 | 4.00 | 37.09 |
| 2014 | 50,363 | 208 | 4.13 | 58,848 | 152 | 2.58 | 10,9211 | 360 | 3.30 | 37.46 |
| 2015 | 35,959 | 154 | 4.28 | 40,481 | 113 | 2.79 | 76,440 | 267 | 3.49 | 34.82 |
| 2016 | 62,281 | 420 | 6.74 | 69,238 | 326 | 4.71 | 131,519 | 746 | 5.67 | 30.18 |
| 2017 | 49,217 | 300 | 6.10 | 53,464 | 230 | 4.30 | 102,681 | 530 | 5.16 | 29.42 |
| 2018 | 49,853 | 300 | 6.02 | 52,224 | 250 | 4.79 | 102,077 | 550 | 5.39 | 20.45 |
| 2019 | 49,134 | 259 | 5.27 | 53,128 | 221 | 4.16 | 102,262 | 480 | 4.69 | 21.09 |
| 2020 | 40,445 | 230 | 5.69 | 43,366 | 188 | 4.34 | 83,811 | 418 | 4.99 | 23.77 |
| Total | 60,1379 | 2,895 | 4.81 | 72,0995 | 2,285 | 3.17 | 132,2374 | 5,180 | 3.92 | 34.17 |
Cochran-Armitage trend (CAT) P < 0.05.
Cochran-Armitage trend (CAT) P < 0.05.
Cochran-Armitage trend (CAT) P < 0.05.
Cochran-Armitage trend (CAT) P < 0.05.
Extent%Δ = (the CHD prevalence in urban areas- the CHD prevalence in rural areas)/ the CHD prevalence in urban areas ×100%.
Figure 1The prevalence of CHD between urban areas and rural areas from 2005 to 2020.
The propotion of CHD before 28 gestation weeks and after 28 gestation weeks from 2005 to 2020.
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| 2005 | 47,302 | 10 | 13.89 | 62 | 86.11 | 520.00 |
| 2006 | 49,964 | 14 | 12.61 | 97 | 87.39 | 592.86 |
| 2007 | 61,671 | 26 | 16.99 | 127 | 83.01 | 388.46 |
| 2008 | 59,804 | 30 | 18.99 | 128 | 81.01 | 326.67 |
| 2009 | 66,738 | 30 | 18.07 | 136 | 81.93 | 353.33 |
| 2010 | 80,960 | 38 | 15.70 | 204 | 84.30 | 436.84 |
| 2011 | 81,422 | 43 | 16.29 | 221 | 83.71 | 413.95 |
| 2012 | 89,054 | 72 | 20.40 | 281 | 79.60 | 290.28 |
| 2013 | 77,458 | 74 | 23.87 | 236 | 76.13 | 218.92 |
| 2014 | 109,211 | 107 | 29.72 | 253 | 70.28 | 136.45 |
| 2015 | 76,440 | 77 | 28.84 | 190 | 71.16 | 146.75 |
| 2016 | 131,519 | 305 | 40.88 | 441 | 59.12 | 44.59 |
| 2017 | 102,681 | 210 | 39.62 | 320 | 60.38 | 52.38 |
| 2018 | 102,077 | 220 | 40.00 | 330 | 60.00 | 50.00 |
| 2019 | 102,262 | 190 | 39.58 | 290 | 60.42 | 52.63 |
| 2020 | 83,811 | 170 | 40.67 | 248 | 59.33 | 45.88 |
| Total | 132,2374 | 1,616 | 31.20 | 3,564 | 68.80 | 120.54 |
Cochran-Armitage trend (CAT) P < 0.05.
Cochran-Armitage trend (CAT) P < 0.05.
Cochran-Armitage trend (CAT) P < 0.05.
Extent%Δ=(the CHD propotion after 28 gestation weeks- the CHD propotion before 28 gestation weeks)/ the CHD propotion after 28 gestation weeks ×100%.
Figure 2The proportion of CHD before 28 gestation weeks and after 28 gestation weeks from 2005 to 2020.
The prevalence of CHD from 2005 to 2020 in Jinan according to different characteristics.
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| Male | 695,665 | 2,978 | 4.28 | |
| Female | 626,709 | 2,202 | 3.51 | |
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| Spring (March, April, May) | 320,421 | 1,117 | 3.49 | |
| Summer (June,July,August) | 320,452 | 1,134 | 3.54 | |
| Autumn (September, October. | 326,300 | 1,544 | 4.73 | |
| November) | ||||
| Winter (December,January,February) | 355,201 | 1,385 | 3.90 | |
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| <20 | 17,204 | 95 | 5.52 | |
| 20–24 | 235,339 | 736 | 3.13 | |
| 25–29 | 519,356 | 1,730 | 3.33 | |
| 30–34 | 388,498 | 1,456 | 3.75 | |
| 35- | 161,977 | 1,163 | 7.18 |
Figure 3The prevalence of CHD between male births and female births.
The prevalence of the the 5 most common CHD subtypes in Jinan from 2005 to 2020.
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| 2005 | 17 | 0.87 | 12 | 0.62 | 11 | 0.57 | 9 | 0.46 | 8 | 0.41 |
| 2006 | 28 | 1.48 | 11 | 0.58 | 20 | 1.06 | 9 | 0.47 | 10 | 0.53 |
| 2007 | 35 | 1.35 | 17 | 0.66 | 27 | 1.04 | 12 | 0.46 | 11 | 0.42 |
| 2008 | 42 | 1.72 | 19 | 0.78 | 35 | 1.43 | 14 | 0.57 | 8 | 0.33 |
| 2009 | 41 | 1.54 | 21 | 0.79 | 34 | 1.28 | 13 | 0.49 | 10 | 0.38 |
| 2010 | 79 | 2.15 | 43 | 1.17 | 33 | 0.90 | 21 | 0.57 | 19 | 0.52 |
| 2011 | 100 | 2.72 | 57 | 1.55 | 40 | 1.09 | 20 | 0.54 | 20 | 0.54 |
| 2012 | 114 | 2.87 | 75 | 1.89 | 41 | 1.03 | 26 | 0.65 | 21 | 0.53 |
| 2013 | 107 | 3.01 | 57 | 1.60 | 42 | 1.18 | 21 | 0.59 | 19 | 0.53 |
| 2014 | 135 | 2.68 | 77 | 1.53 | 43 | 0.85 | 25 | 0.50 | 16 | 0.32 |
| 2015 | 98 | 2.73 | 65 | 1.81 | 25 | 0.70 | 20 | 0.56 | 13 | 0.36 |
| 2016 | 292 | 4.69 | 167 | 2.68 | 99 | 1.59 | 51 | 0.82 | 34 | 0.55 |
| 2017 | 205 | 4.17 | 95 | 1.93 | 71 | 1.44 | 31 | 0.63 | 25 | 0.51 |
| 2018 | 211 | 4.23 | 98 | 1.97 | 62 | 1.24 | 33 | 0.66 | 21 | 0.42 |
| 2019 | 192 | 3.91 | 85 | 1.73 | 65 | 1.32 | 35 | 0.71 | 22 | 0.45 |
| 2020 | 150 | 3.71 | 75 | 1.85 | 63 | 1.56 | 30 | 0.74 | 28 | 0.69 |
| Total | 1846 | 3.07 | 974 | 1.62 | 711 | 1.18 | 370 | 0.62 | 285 | 0.47 |
Cochran-Armitage trend (CAT) P < 0.05.
Cochran-Armitage trend (CAT) P < 0.05.
Cochran-Armitage trend (CAT) P < 0.05.
Cochran-Armitage trend (CAT) P < 0.05.
Cochran-Armitage trend (CAT) P < 0.05.
Figure 4The number of PM10 in different months from 2014 to 2020.
Figure 5The number of PM10 in different seasons.