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剖宫产瘢痕部位妊娠 98 例回顾性研究及影响因素分析.
- Source :
-
Journal of Modern Medicine & Health . 6/15/2020, Vol. 36 Issue 11, p1661-1663. 3p. - Publication Year :
- 2020
-
Abstract
- Objective To investigate the risk and protective factors of cesarean section scar site pregnancy(CSP, and to provide evidence for prevention of CSP. Methods 98 cases of CSP patients admitted to the hospital from January 2015 to January 2019 were selected as the case group, while 265 cases of normal pregnancy with scar in utero were selected as the control group. Univariate and multivariate logistic regression analysis was used to analyze the relationship between age, cesarean section frequency, induced abortion frequency, breech cesarean section, last cesarean section time, uterine suture mode and CSP. Results Unifactor logistic regression analysis showed that there was a significant relationship between pregnancy in scar area of cesarean section and the number of cesarean sections, number of induced abortion, breech cesarean section, time of last cesarean section, mode of uterine suture and other factors (P<0.05). The results of multivariate logistic regress ion analysis showed that the ratio (OR) of the number of cesarean sections, the number of induced abortions and breech cesarean sections were greater than 1. The OR of the time of last cesarean section and uterine suture mode were less than 1, which were all correlated with CSP (P <0.05). Conclusion Age has no significant effect on the occurrence of CSP. The incidence of CSP can be reduced by double layer uterine suture and the next pregnancy is more than 2 years from the previous cesarean section. The frequency of cesarean section and gluteal cesarean section are the high risk factors of CSP. [ABSTRACT FROM AUTHOR]
Details
- Language :
- Chinese
- ISSN :
- 10095519
- Volume :
- 36
- Issue :
- 11
- Database :
- Academic Search Index
- Journal :
- Journal of Modern Medicine & Health
- Publication Type :
- Academic Journal
- Accession number :
- 143789095
- Full Text :
- https://doi.org/10.3969/j.issn.1009-5519.2020.11.017