Autor: |
Liyang Zhang, Hongtian Li, Jiapo Li, Yue Hou, Buxuan Xu, Na Li, Tian Yang, Caixia Liu, Chong Qiao |
Jazyk: |
angličtina |
Rok vydání: |
2020 |
Předmět: |
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Zdroj: |
BMC Pregnancy and Childbirth, Vol 20, Iss 1, Pp 1-9 (2020) |
Druh dokumentu: |
article |
ISSN: |
1471-2393 |
DOI: |
10.1186/s12884-020-03165-7 |
Popis: |
Abstract Background To build a novel and simple model to predict iatrogenic preterm birth in pregnant women with scarred uteri. Methods In this retrospective, observational, single-centre cohort study, data from 2315 patients with scarred uteri were collected. Multiple logistic regression analysis and mathematical modelling were used to develop a risk evaluation tool for iatrogenic preterm birth. After modelling, the calibration and discrimination of the model along with decision curve analysis were checked and performed to ensure clinical applicability. Results Among the 2315 patients, 417 (18.0%) had iatrogenic preterm births. The following variables were included in the model: interpregnancy interval (0 to |
Databáze: |
Directory of Open Access Journals |
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