Nursing Department, Fujian Maternity and Child Health Hospital, Fuzhou, Fujian, China.
PeerJ. 2023 Sep 21;11:e16089. doi: 10.7717/peerj.16089. eCollection 2023.
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.
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.
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]; < 0.05), longer operation duration (adjusted OR, 1.014; 95% CI [1.009-1.020]; < 0.05), shorter activated partial thromboplastin time (APTT) (adjusted OR, 0.749; 95% CI [0.635-0.884]; < 0.05), higher D-dimer (adjusted OR, 4.929; 95% CI [2.369-10.255]; < 0.05), higher Human Epididymis Protein 4 (HE4) (adjusted OR, 1.007; 95% CI [1.001-1.012]; < 0.05), and history of hypertension (adjusted OR, 3.732; 95% CI [1.405-9.915]; < 0.05) were all independent risk factors for LEDVT in patients who underwent gynecologic laparoscopic surgery. A nomogram model was then created, which had an area under the curve of 0.927 (95% CI [0.893-0.961]; < 0.05), a sensitivity of 96.1%, and a specificity of 79.5%.
A nomogram model that incorporates information on age, operation duration, APTT, D-dimer, history of hypertension, and HE4 could effectively predict the risk of LEDVT in patients undergoing gynecologic laparoscopic surgery, potentially helping to prevent the development of this complication.
探讨与下肢深静脉血栓形成(LEDVT)相关的危险因素,并建立预测妇科腹腔镜手术患者发生 LEDVT 的模型。
回顾性分析 2020 年 11 月 1 日至 2022 年 1 月 31 日期间接受妇科腹腔镜手术的患者的临床资料。术后发生 LEDVT 的患者为观察组,未发生并发症的患者为对照组。采用多因素向前逐步逻辑回归模型确定与 LEDVT 相关的独立危险因素。然后基于这些危险因素建立列线图模型。
研究期间共 659 例患者接受妇科腹腔镜手术,其中 52 例(7.89%)术后发生 LEDVT。多因素 logistic 回归分析显示,年龄较大(校正比值比,1.085;95%置信区间[1.034-1.138]; <0.05)、手术时间较长(校正比值比,1.014;95%置信区间[1.009-1.020]; <0.05)、较短的活化部分凝血活酶时间(APTT)(校正比值比,0.749;95%置信区间[0.635-0.884]; <0.05)、较高的 D-二聚体(校正比值比,4.929;95%置信区间[2.369-10.255]; <0.05)、较高的人附睾蛋白 4(HE4)(校正比值比,1.007;95%置信区间[1.001-1.012]; <0.05)和高血压病史(校正比值比,3.732;95%置信区间[1.405-9.915]; <0.05)均为妇科腹腔镜手术后 LEDVT 的独立危险因素。然后建立了列线图模型,其曲线下面积为 0.927(95%置信区间[0.893-0.961]; <0.05),灵敏度为 96.1%,特异性为 79.5%。
纳入年龄、手术时间、APTT、D-二聚体、高血压病史和 HE4 信息的列线图模型可有效预测妇科腹腔镜手术患者 LEDVT 的风险,有助于预防该并发症的发生。