| Autor: |
Yuping Zhao, Renyu Wang, Shuiling Zu, Yanbin Lin, Ying Fu, Na Lin, Xiumei Fang, Chenyin Liu |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
PeerJ, Vol 11, p e16089 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2167-8359 |
| DOI: |
10.7717/peerj.16089 |
| Popis: |
Objective To investigate the risk factors associated with lower extremity deep vein thrombosis (LEDVT) and to establish a predictive model for patients who undergo gynecologic laparoscopic surgery. Methods A review of clinical data was conducted on patients who underwent gynecologic laparoscopic surgery between November 1, 2020, and January 31, 2022. Patients who developed LEDVT after surgery were included as the observation group, while the control group comprised patients who did not experience complications. Multivariate forward stepwise logistic regression models were used to identify independent risk factors associated with LEDVT. A nomogram model was then developed based on these risk factors. Results A total of 659 patients underwent gynecologic laparoscopic surgery during the study period, and 52 (7.89%) of these patients developed postoperative LEDVT. Multivariate logistic regression analysis showed that older age (adjusted OR, 1.085; 95% CI [1.034–1.138]; P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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