|
|
Evaluation of risk factors of venous thromboembolism in gynecological patients and construction of risk early warning scale |
WANG Hao1,2 HUANG Rong3 LI Xiaohan1 WANG Ye3 |
1.Medicine School, Tongji University, Shanghai 200092, China;
2.Operating Room, Shanghai Fengxian District Central Hospital, Shanghai 201499, China;
3.Delivery Room, the First Maternal and Infant Hospital Affiliated to Tongji University, Shanghai 201204, China |
|
|
Abstract Objective To explore the risk factors of postoperative venous thromboembolism (VTE) in gynecological patients, and to construct and verify the risk early warning scale of gynecological VTE. Methods Clinical data of patients who underwent gynecological surgery in Shanghai Fengxian District Central Hospital from January 2017 to December 2019 were retrospectively analyzed. Fifty-three patients with VTE were selected as the case group, and 167 patients without VTE were selected as the control group according to the ratio of 1∶3 in the same department and hospitalized at the same time. The risk factors of postoperative VTE in gynecological patients were analyzed, and the risk early warning scale of gynecological VTE was constructed and verified. Results There were statistically significant differences between the two groups in the proportion of age, hypertension, hyperlipidemia, intraoperative blood transfusion, operative time, bed time, disease types and use of contraceptives (P < 0.05). Age≥60 years old, hypertension, use of contraceptives, hyperlipidemia, operation time ≥180 min, bed time ≥96 h, malignant tumor were risk factors for VTE (OR >1, P < 0.05). The standard of gynecological VTE risk early warning scale constructed was low risk < 2.8 points and high risk ≥2.8 points. There was statistical significance in the proportion of different risk grades between the two groups (P < 0.05). Conclusion The risk factors of gynecological patients complicated with VTE are complex. The risk early warning scale can be used to prevent and reduce the incidence of VTE in gynecological surgery patients, and is easy to be applied in clinical practice.
|
|
|
|
|
[1] 何子永,周慧,张靖轩,等.术后患者于ICU发生静脉血栓栓塞症的危险因素分析[J].广州医科大学学报,2018, 46(1):47-50.
[2] Cervantes J,Rojas G. Virchow’s Legacy:deep vein thrombosis and pulmonary embolism [J]. World J Surg,2005,29 Suppl:S30-S34.
[3] 张新娣,龚萍,刘建红.比较Autar和Padua两种风险模型在预测癌症患者静脉血栓栓塞症的评估效果[J].中国肿瘤外科杂志,2018,10(4):237-240.
[4] 刘晓涵,卢根娣.国外静脉血栓栓塞症风险评估工具的研究进展[J].护理学杂志,2014,29(12):94-96.
[5] 罗小云,张福先.Caprini风险评估模型对综合医院住院患者中的应用[J].中华医学杂志,2017,97(24):1875-1877.
[6] Cronin M,Dengler N,Krauss ES,et al. Completion of the Updated Caprini Risk Assessment Model(2013 Version)[J]. Clin Appl Thromb Hemost,2019,25:1076029619838052.
[7] Shi J,Ye J,Zhuang X,et al. Application value of caprini risk assessment model and elevated tumor-specific D-dimer level in predicting postoperative venous thromboembolism for patients undergoing surgery of gynecologic malignancies [J]. J Obstet Gynaecol Res,2019,45(3):657-664.
[8] 郎景和,王辰,瞿红,等.妇科手术后深静脉血栓形成及肺栓塞预防专家共识[J].中华妇产科杂志,2017,52(10):649-653.
[9] 赵英娜,刘华平.静脉血栓栓塞个体风险评估工具研究进展[J].中国护理管理,2016,16(4):442-447.
[10] Yi J,Zhan L,Lei Y,et al. Establishment and validation of a prediction equation to estimate risk of intraoperative hypothermia in patients receiving general anesthesia [J]. Sci Rep,2017,7(1):13927.
[11] Lau BD,Haut ER. Computerized Clinical Decision Support Systems for Prevention of Venous Thromboembolism [J]. JAMA Surg,2017,152(7):646-647.
[12] Lee LH,Gallus A,Jindal R,et al. Incidence of venous thromboembolism in Asian populations:a systematic review [J].Thromb Haemost,2017,117:2243-2246.
[13] Zhang Z,Lei J,Shao X,et al. Trends in hospitalization and in-hospital mortality from VTE,2007 to 2016,in China [J]. Chest,2019,155(2):342-353.
[14] 李莉红,李辉.《胸部恶性肿瘤围术期静脉血栓栓塞症预防中国专家共识(2018 版)》解读之高危患者筛查篇[J].中国肺癌杂志,2019,22(12):747-751.
[15] Lyman GH,Bohlke K,Khorana AA,et al. Venous thromboembolism prophylaxis and treatment in patients with cancer:American Society of Clinical Oncology Clinical Practice Guideline update 2014 [J]. J Clin Oncol,2015, 33(6):654-656.
[16] Rosenberg D,Eichorn A,Alarcon M,et al. Validating the IMPROVE Venous Thromboembolism(VTE)Risk Score:Retrospective Analysis of Electronic Data from a Large Health System [J]. Chest Volume,2014,145(3):522A.
[17] 许婉婷,王宝彦,方芸.368例下肢深静脉血栓患者临床危险因素分析[J].中国现代医生,2019,57(5):9-12, 15.
[18] Lau BD,Streiff MB,Pronovost PJ,et al. Venous thromboembolism quality measures fail to accurately measure quality [J]. Circulation,2018,137(12):1278-1284.
[19] Rahh DD,Mamik MM,Sanses TVD,et al. Venous thromboembolism prophylaxis in gynecologic surgery:A systematic review [J]. Obstet Gynecol,2011,118(5):1111-1125.
[20] Cox S,Eslick R,McLintock C. Effectiveness and safety of thromboprophylaxis with enoxaparin for prevention of pregnancy-associated venous thromboembolism [J]. J Thromb Haemost,2019,17(7):1160-1170.
[21] Martinelli I,Maino A,Abbattista M,et al. Duration of oral contraceptive use and the risk of venous thromboembolism. A case-control study [J]. Thromb Res,2016,141:153-157.
[22] 林春梅,史文莉,缪红莉,等.普通外科术后VTE发生的高危因素分析及预警模型建立[J].新疆医科大学学报,2017,40(8):1094-1096.
[23] Hachey KJ,Hewes PD,Porter LP,et al. Caprini venous thromboembolism risk assessment permits selection for postdischarge prophylactic anticoagulation in patients with resectable lung cancer [J]. J Thorac Cardiovasc Surg,2016,151(1):37-44.
[24] 娄英华,沈怡.Caprini血栓风险评估模型预测妇科恶性肿瘤手术患者DVT风险的有效性研究[J].东南大学学报:医学版,2017,36(3):333-337.
[25] 黄文蓉,王海平,张雪梅,等.2005版Caprini血栓风险评估模型在妇科盆腔手术患者中的应用价值[J].中国医药科学,2019,9(24):117-120. |
|
|
|