Epidemiology of congenital polydactyly and syndactyly in Hunan Province, China

被引:0
作者
Zhou, Xu [1 ]
Li, Ting [1 ]
Kuang, Haiyan [1 ]
Zhou, Ying [1 ]
Xie, Donghua [1 ]
He, Jian [1 ]
Xiao, Juan [1 ]
Chen, Chanchan [1 ]
Jiang, Yurong [1 ]
Fang, Junqun [1 ]
Wang, Hua [2 ,3 ]
机构
[1] Hunan Prov Maternal & Child Hlth Care Hosp, Changsha 410000, Hunan, Peoples R China
[2] Hunan Childrens Hosp, Changsha 410000, Hunan, Peoples R China
[3] Hunan Prov Maternal & Child Hlth Care Hosp, Natl Hlth Commiss, Key Lab Birth Defects Res Prevent & Treatment, Changsha 410000, Hunan, Peoples R China
关键词
Polydactyly; Syndactyly; Prevalence; Sex; Residence characteristics; Maternal age; WASSEL CLASSIFICATION; BIRTH-DEFECTS; MATERNAL AGE; PREVALENCE; ANOMALIES; MALFORMATIONS; POPULATION; PHENOTYPES; GENETICS; HAND;
D O I
10.1186/s12884-024-06417-y
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Objective To describe the prevalence and epidemiology of congenital polydactyly and syndactyly in Hunan Province, China, 2016-2020. Methods Data were obtained from the Birth Defects Surveillance System in Hunan Province, China, 2016-2020. Prevalence of birth defects (polydactyly or syndactyly) is the number of cases per 1000 births (unit: parts per thousand). Prevalence and 95% confidence intervals (CI) were calculated by the log-binomial method. Chi-square trend tests (chi(2)(trend)) were used to determine trends in prevalence by year. Crude odds ratios (ORs) were calculated to examine the association of each demographic characteristic with polydactyly and syndactyly. Results Our study included 847,755 births, and 14,459 birth defects were identified, including 1,888 polydactyly and 626 syndactyly cases, accounting for 13.06% and 4.33% of birth defects, respectively. The prevalences of total birth defects, polydactyly, and syndactyly were 17.06 parts per thousand (95%CI: 16.78-17.33), 2.23 parts per thousand (95%CI: 2.13-2.33), and 0.74 parts per thousand (95%CI: 0.68-0.80), respectively. Most polydactyly (96.77%) and syndactyly (95.69%) were diagnosed postnatally (within 7 days). From 2016 to 2020, the prevalences of polydactyly were 1.94 parts per thousand, 2.07 parts per thousand, 2.20 parts per thousand, 2.54 parts per thousand, and 2.48 parts per thousand, respectively, showing an upward trend (chi(2)(trend) = 19.48, P < 0.01); The prevalences of syndactyly were 0.62 parts per thousand, 0.66 parts per thousand, 0.77 parts per thousand, 0.81 parts per thousand, and 0.89 parts per thousand, respectively, showing an upward trend (chi(2)(trend) = 10.81, P = 0.03). Hand polydactyly (2.26 parts per thousand vs. 1.33 parts per thousand, OR = 1.69, 95%CI: 1.52-1.87) and hand syndactyly (0.43 parts per thousand vs. 0.28 parts per thousand, OR = 1.42, 95%CI: 1.14-1.76) were more common in males than females. Polydactyly (2.67 parts per thousand vs. 1.93 parts per thousand, OR = 1.38, 95%CI: 1.26-1.51) and syndactyly (0.91 parts per thousand vs. 0.62 parts per thousand, OR = 1.47, 95%CI: 1.26-1.72) were more common in urban areas than in rural areas. Compared to maternal age 25-29, hand polydactyly was more common in maternal age < 20 (2.48 parts per thousand vs. 1.74 parts per thousand, OR = 1.43, 95%CI: 1.01-2.02) or >= 35 (2.25 parts per thousand vs. 1.74 parts per thousand, OR = 1.30, 95%CI: 1.12-1.50). Conclusion In summary, we have described the prevalence and epidemiology of polydactyly and syndactyly from hospital-based surveillance in Hunan Province, China, 2016-2020. Our findings make some original contributions to the field, which may be valuable for future research.
引用
收藏
页数:9
相关论文
共 51 条
  • [11] Congenital malformations
    Corsello, Giovanni
    Giuffre, Mario
    [J]. JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE, 2012, 25 : 25 - 29
  • [12] Dai Li, 2004, Zhonghua Fu Chan Ke Za Zhi, V39, P436
  • [13] How does the two-child policy affect the sex ratio at birth in China? A cross-sectional study
    Fan, S. L.
    Xiao, C. N.
    Zhang, Y. K.
    Li, Y. L.
    Wang, X. L.
    Wang, L.
    [J]. BMC PUBLIC HEALTH, 2020, 20 (01)
  • [14] Polydactyly: A Review
    Farrugia, Marie Claire
    Calleja-Agius, Jean
    [J]. NEONATAL NETWORK, 2016, 35 (03): : 135 - 142
  • [15] Bardet-Biedl syndrome
    Forsythe, Elizabeth
    Beales, Philip L.
    [J]. EUROPEAN JOURNAL OF HUMAN GENETICS, 2013, 21 (01) : 8 - 13
  • [16] Goldfarb CA, 2017, J PEDIATR ORTHOPED, V37, P144, DOI 10.1097/BPO.0000000000000748
  • [17] INDEPENDENT EFFECTS OF MATERNAL AGE AND BIRTH-ORDER ON INCIDENCE OF SELECTED CONGENITAL MALFORMATIONS
    HAY, S
    BARBANO, H
    [J]. TERATOLOGY, 1972, 6 (03) : 271 - &
  • [18] Demographic Assessment of Down Syndrome: A Systematic Review
    Huete-Garcia, Agustin
    Otaola-Barranquero, Monica
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (01) : 1 - 12
  • [19] Prevalence of congenital limb defects: Data from birth defects registries in three provinces in Southern Thailand
    Jaruratanasirikul, Somchit
    Tangtrakulwanich, Boonsin
    Rachatawiriyakul, Pornruedee
    Sriplung, Hutcha
    Limpitikul, Wannee
    Dissaneevate, Pathikan
    Khunnarakpong, Nattasit
    Tantichantakarun, Pongsak
    [J]. CONGENITAL ANOMALIES, 2016, 56 (05) : 203 - 208
  • [20] Modification of the effects of nitrogen dioxide and sulfur dioxide on congenital limb defects by meteorological conditions
    Jiang, Wen
    Liu, Zhiyu
    Ni, Bin
    Xie, Wanqin
    Zhou, Haiyan
    Li, Xingli
    [J]. HUMAN REPRODUCTION, 2021, 36 (11) : 2962 - 2974