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A total of 1152 pregnant women were selected, including 384 cases with VTE and 768 cases without VTE. A logistic regression method was conducted to determine the risk factors of VTE.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Age, BMI before delivery, gestational diabetes mellitus, family history (thrombosis, diabetes, cardiovascular disease), and assisted reproductive technology were independent risk factors (P&lt;0.05). The difference between the high-risk group and the low-risk group was statistically significant(P&lt;0.001) with a sensitivity of 0.578, specificity of 0.756, Yuden index o.334, and area under the ROC curve of 0.878.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>The age (\u2265\u200935 years), BMI before delivery (\u2265\u200930\u00a0kg\/m<jats:sup>2<\/jats:sup>), gestational diabetes mellitus, family history of related diseases and assisted reproductive technology are more likely to cause VTE after full-time delivery. The simple and rapid assessment scale of VTE in women after full-term delivery has perfect discrimination (P\u2009&lt;\u20090.001), which can be applied to predict the risk of VTE in Chinese full-term postpartum women.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12884-023-05901-1","type":"journal-article","created":{"date-parts":[[2023,8,24]],"date-time":"2023-08-24T07:02:28Z","timestamp":1692860548000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Development and validation of a facile rapid assessment scale for perinatal venous thromboembolism in puerperium in Chinese women"],"prefix":"10.1186","volume":"23","author":[{"given":"Xiujuan","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huansheng","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,8,24]]},"reference":[{"issue":"7","key":"5901_CR1","doi-asserted-by":"publisher","first-page":"852","DOI":"10.1111\/aogs.13137","volume":"96","author":"J Kaaja, Risto","year":"2017","unstructured":"Kaaja, Risto J, Galambosi, Paivi J, Gissler, Mika, Ulander V-M. 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All participants approved the study. All methods were carried out in accordance with relevant guidelines and regulations.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval and consent to participate"}},{"value":"NA.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}],"article-number":"607"}}