-
摘要: 目的 探讨影响泌尿外科手术患者术后下肢深静脉血栓(DVT)发生的危险因素。方法 回顾性分析2019年3月—2021年5月山西白求恩医院收治的1025例泌尿外科手术患者的临床资料,其中男765例,女260例;年龄18~94岁,平均(56.3±15.8)岁。收集患者信息包括年龄、性别、体重指数(BMI)、既往病史(高血压、糖尿病、脑梗死、冠心病)、手术体位、麻醉方式、手术出血量、麻醉时间、Caprini风险评估模型(RAM)、D-二聚体(术前及术后第1天)、病理诊断(良、恶性),采用单因素和多因素回归分析泌尿外科手术患者术后DVT的危险因素。结果 1025例患者中,有55例(5.4%)患者发生了DVT。单因素分析结果显示,年龄(P< 0.001)、BMI(P=0.021)、麻醉方式(P=0.026)、手术体位(P=0.042)、恶性肿瘤(P< 0.001)、吸烟史(P< 0.001)、术前D-二聚体(P=0.002)、术后第1天D-二聚体(P< 0.001)、Caprini RAM(P< 0.001)、出血量(P< 0.015)、麻醉时间(P< 0.001)、术后住院时间(P< 0.001),与泌尿外科术后DVT发生密切相关。多因素分析结果显示,术后第1天D-二聚体(OR=1.001,95%CI:1.001~1.001;P< 0.001)和Caprini RAM(OR=1.612,95%CI:1.32~1.97;P< 0.001)是泌尿外科术后DVT发生的强因素。ROC分析表明,术后第1天D-二聚体ROC曲线下面积为0.913(95%CI:0.880~0.946;P< 0.001),最佳截断值为1100 ng/mL,阈值敏感性为81.8%,特异性为85.1%,约登指数为0.669。结论 术后第1天D-二聚体、Caprini RAM是泌尿外科患者术后DVT发生的独立危险因素。
-
关键词:
- 泌尿外科 /
- D-二聚体 /
- Caprini风险评估模型 /
- 下肢深静脉血栓 /
- 危险因素
Abstract: Objective To find out whether urological operation might increase the risk of deep vein thrombosis (DVT) in the lower extremities.Methods From March 2019 to May 2021, 1025 urological patients were retrospectively analysed, including 765 males and 260 females. The mean age was (56.3±15.8) (range, 18-94) years. Patients' specific factors include patients' age, gender, BMI, underlying diseases, operative position, anesthetic techniques, hemorrhage volume, narcotic time, Caprini risk assessment model(RAM), preoperative and the first postoperative day D-2 polymers, pathologic result. Univariate and logistic multiple regression were used to analyze the risk variables of postoperative DVT in urological operation.Results DVT was observed in 5.4% of patients. Univariate analysis showed that age (P< 0.001), BMI (P< 0.01), anesthetic techniques (P< 0.01), malignancy (P< 0.001), history of cigarette smoking (P< 0.001), preoperative and the first postoperative day D-2 polymers (P< 0.001), Caprini RAM (P< 0.001), hemorrhage volume (P< 0.001) and narcotic time (P< 0.001) were significantly associated with the probability of DVT. D-2 polymers on the first postoperative day (P< 0.001) and Caprini RAM (P< 0.001) were important indicators of DVT following urological operation according to multivariate regression.Conclusion D-2 polymers on the first postoperative day and Caprini RAM are independent risk factors for postoperative DVT in urology patients. -
表 1 一般临床资料
例(%),X±S 变量 总队列(n=1025) 术后DVT P 阳性(n=55) 阴性(n=970) 年龄/岁 56.3±15.8 65.3±10.0 55.8±15.9 < 0.001 性别 0.145 男 765(63.5) 40(5.2) 725(94.8) 女 260(36.5) 15(3.4) 245(96.6) BMI 24.8±3.7 25.9±3.3 24.7±3.8 0.021 麻醉方式 0.026 非全身麻醉 613(59.8) 25(4.1) 588(95.9) 全身麻醉 412(40.2) 30(7.3) 382(92.7) 手术体位 0.042 截石位 612(59.7) 24(3.9) 588(96.1) 平卧位 129(12.6) 9(7.0) 120(93.0) 侧卧位 284(27.7) 22(7.7) 262(92.3) 恶性肿瘤 < 0.001 否 269(26.2) 27(10.0) 242(90.0) 是 756(73.8) 28(3.7) 728(96.3) 吸烟史 < 0.001 有 352(34.3) 35(9.9) 317(90.1) 无 673(65.7) 20(3.0) 653(97.0) 高血压史 0.950 有 302(29.5) 16(5.3) 286(94.7) 无 723(70.5) 39(5.4) 684(94.6) 糖尿病史 0.607 有 115(11.2) 5(4.3) 110(95.7) 无 910(88.8) 50(5.5) 860(94.5) 冠心病史 0.922 有 53(5.2) 3(5.7) 50(94.3) 无 972(94.8) 52(5.3) 920(94.7) 脑梗史 0.867 有 51(5.0) 3(5.9) 48(94.1) 无 974(95.0) 52(5.3) 922(94.7) 术前D-二聚体/(ng·mL-1) 284.1±398.2 552.9±629.7 268.8±375.7 0.002 术后第1天D-二聚体/(ng·mL-1) 840.9±1122.8 3209.2±2573.5 706.6±791.7 < 0.001 Caprini RAM/分 4.7±1.9 6.4±1.7 4.6±1.8 < 0.001 出血量/mL 40.0±188.2 218.4±555.6 29.9±135.3 0.015 麻醉时间/min 98.8±68.4 165.6±110.1 95.0±63.2 < 0.001 术后住院时间/d 6.9±3.0 11.9±3.6 6.6±2.7 < 0.001 表 2 各因素与DVT形成的相关性
变量 单因素 多因素 OR 95%CI P OR 95%CI P 年龄/岁 1.048 1.026~1.071 < 0.001 性别 男 1 - 女 1.11 0.602~2.044 0.738 BMI 1.082 1.012~1.157 0.021 1.098 1.01~1.195 0.029 麻醉方式 非全身麻醉 1 - 全身麻醉 1.847 1.070~3.189 0.028 手术体位 截石位 1 - 平卧位 1.837 0.833~4.052 0.132 侧卧位 2.057 1.133~3.736 0.018 恶性肿瘤 否 1 - 是 2.901 1.676~5.019 < 0.001 吸烟史 有 1 - 1 - 无 3.605 2.048~6.346 < 0.001 2.801 1.419~5.529 0.003 高血压史 有 1 - 无 0.981 0.540~1.784 0.950 糖尿病史 有 1 - 无 0.782 0.305~2.002 0.608 冠心病史 有 1 - 无 1.062 0.320~3.518 0.922 脑梗史 有 1 - 无 1.108 0.334~3.677 0.867 术前D-二聚体/(ng·mL-1) 1.001 1.000~1.001 < 0.001 术后第1天D-二聚体/(ng·mL-1) 1.001 1.001~1.001 < 0.001 1.001 1.001~1.001 < 0.001 Caprini RAM 1.796 1.509~2.138 < 0.001 1.612 1.320~1.970 < 0.001 出血量/mL 1.002 1.001~1.003 < 0.001 麻醉时间/min 1.010 1.007~1.013 < 0.001 -
[1] Raskob GE, Angchaisuksiri P, Blanco AN, et al. Thrombosis: a major contributor to global disease burden[J]. Arterioscler Thromb Vasc Biol, 2014, 34(11): 2363-2371. doi: 10.1161/ATVBAHA.114.304488
[2] Schellong SM, Goldhaber SZ, Weitz JI, et al. Isolated Distal Deep Vein Thrombosis: Perspectives from the GARFIELD-VTE Registry[J]. Thromb Haemost, 2019, 119(10): 1675-1685. doi: 10.1055/s-0039-1693461
[3] Heit JA, Mohr DN, Silverstein MD, et al. Predictors of recurrence after deep vein thrombosis and pulmonary embolism: a population-based cohort study[J]. Arch Intern Med, 2000, 160(6): 761-768. doi: 10.1001/archinte.160.6.761
[4] Rabinovich A, Kahn SR. How I treat the postthrombotic syndrome[J]. Blood, 2018, 131(20): 2215-2222. doi: 10.1182/blood-2018-01-785956
[5] Ende-Verhaar YM, Cannegieter SC, Vonk Noordegraaf A, et al. Incidence of chronic thromboembolic pulmonary hypertension after acute pulmonary embolism: a contemporary view of the published literature[J]. Eur Respir J, 2017, 49(2): 1601792. doi: 10.1183/13993003.01792-2016
[6] Kahn SR, Hirsch AM, Akaberi A, et al. Functional and Exercise Limitations After a First Episode of Pulmonary Embolism: Results of the ELOPE Prospective Cohort Study[J]. Chest, 2017, 151(5): 1058-1068. doi: 10.1016/j.chest.2016.11.030
[7] Barco S, Woersching AL, Spyropoulos AC, et al. European Union28: an annualised costofillness model for venous thromboembolism[J]. Thromb Haemost, 2016, 115: 800-808. doi: 10.1160/TH15-08-0670
[8] Grosse SD, Nelson RE, Nyarko KA, et al. The economic burden of incident venous thromboembolism in the United States: A review of estimated attributable healthcare costs[J]. Thromb Res, 2016, 137: 3-10. doi: 10.1016/j.thromres.2015.11.033
[9] Raskob G, Wendelboe AM. Global public awareness of venous thromboembolism: reply[J]. J Thromb Haemost, 2016, 14(5): 1111-1112. doi: 10.1111/jth.13290
[10] Tikkinen KA, Agarwal A, Craigie S, et al. Systematic reviews of observational studies of risk of thrombosis and bleeding in urological surgery(ROTBUS): introduction and methodology[J]. Syst Rev, 2014, 3: 150. doi: 10.1186/2046-4053-3-150
[11] Forrest JB, Clemens JQ, Finamore P, et al. AUA Best Practice Statement for the prevention of deep vein thrombosis in patients undergoing urologic surgery[J]. J Urol, 2009, 181(3): 1170-1177. doi: 10.1016/j.juro.2008.12.027
[12] Rice KR, Brassell SA, McLeod DG. Venous thromboembolism in urologic surgery: prophylaxis, diagnosis, and treatment[J]. Rev Urol, 2010, 12: e111-124.
[13] Dyer J, Wyke S, Lynch C. Hospital Episode Statistics data analysis of postoperative venous thromboembolus in patients undergoing urological surgery: a review of 126, 891 cases[J]. Ann R Coll Surg Engl, 2013, 95(1): 65-69. doi: 10.1308/003588413X13511609956219
[14] Righini M, Perrier A, De Moerloose P, et al. D-Dimer for venous thromboembolism diagnosis: 20 years later[J]. J Thromb Haemost, 2008, 6(7): 1059-1071. doi: 10.1111/j.1538-7836.2008.02981.x
[15] Kabrhel C, Mark CD, Camargo CA Jr, et al. Factors associated with positive D-dimer results in patients evaluated for pulmonary embolism[J]. Acad Emerg Med, 2010, 17(6): 589-597. doi: 10.1111/j.1553-2712.2010.00765.x
[16] Righini M, Van Es J, Den Exter PL, et al. Age-adjusted D-dimer cutoff levels to rule out pulmonary embolism: the ADJUST-PE study[J]. JAMA, 2014, 311(11): 1117-1124. doi: 10.1001/jama.2014.2135
[17] Bates SM. D-dimer assays in diagnosis and management of thrombotic and bleeding disorders[J]. Semin Thromb Hemost, 2012, 38(7): 673-682. doi: 10.1055/s-0032-1326782
[18] Clément C, Rossi P, Aissi K, et al. Incidence, risk profile and morphological pattern of lower extremity venous thromboembolism after urological cancer surgery[J]. J Urol, 2011, 186(6): 2293-2297. doi: 10.1016/j.juro.2011.07.074
[19] Geersing GJ, Erkens PM, Lucassen WA, et al. Safe exclusion of pulmonary embolism using the Wells rule and qualitative D-dimer testing in primary care: prospective cohort study[J]. BMJ, 2012, 345: e6564. doi: 10.1136/bmj.e6564
[20] Lucassen W, Geersing GJ, Erkens PM, et al. Clinical decision rules for excluding pulmonary embolism: a meta-analysis[J]. Ann Intern Med, 2011, 155(7): 448-460. doi: 10.7326/0003-4819-155-7-201110040-00007
[21] Hendriksen JM, Geersing GJ, Lucassen WA, et al. Diagnostic prediction models for suspected pulmonary embolism: systematic review and independent external validation in primary care[J]. BMJ, 2015, 351: h4438.
[22] Caprini JA. Thrombosis risk assessment as a guide to quality patient care[J]. Dis Mon, 2005, 51(2-3): 70-78. doi: 10.1016/j.disamonth.2005.02.003
[23] Caprini JA, Arcelus JI, Reyna JJ. Effective risk stratification of surgical and nonsurgical patients for venous thromboembolic disease[J]. Semin Hematol, 2001, 38(2 Suppl 5): 12-19.
[24] Motykie GD, Zebala LP, Caprini JA, et al. A guide to venous thromboembolism risk factor assessment[J]. J Thromb Thrombolysis, 2000, 9(3): 253-262. doi: 10.1023/A:1018770712660
[25] Gould MK, Garcia DA, Wren SM, et al. Prevention of VTE in nonorthopedic surgical patients: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines[J]. Chest, 2012, 141(2 Suppl): e227S-e277S.
[26] Silveira PC, Ip IK, Goldhaber SZ, et al. Performance of Wells Score for Deep Vein Thrombosis in the Inpatient Setting[J]. JAMA Intern Med, 2015, 175(7): 1112-1117. doi: 10.1001/jamainternmed.2015.1687
[27] Chen X, Pan L, Deng H, et al. Risk Assessment in Chinese Hospitalized Patients Comparing the Padua and Caprini Scoring Algorithms[J]. Clin Appl Thromb Hemost, 2018, 24(9 suppl): 127S-135S.
[28] Brunson A, Lei A, Rosenberg AS, et al. Increased incidence of VTE in sickle cell disease patients: risk factors, recurrence and impact on mortality[J]. Br J Haematol, 2017, 178(2): 319-326.
[29] Croles FN, Nasserinejad K, Duvekot JJ, et al. Pregnancy, thrombophilia, and the risk of a first venous thrombosis: systematic review and bayesian meta-analysis[J]. BMJ, 2017, 359: j4452.
[30] Crous-Bou M, De Vivo I, Camargo CA Jr, et al. Interactions of established risk factors and a GWAS-based genetic risk score on the risk of venous thromboembolism[J]. Thromb Haemost, 2016, 116(4): 705-713.
[31] Erratum to Heit et al. "Reasons for the persistent incidence of venous thromboembolism"(Thromb Haemost 2017;117: 390-400)[J]. Thromb Haemost, 2017, 117(3): 643.
[32] Méan M, Limacher A, Stalder O, et al. Do Factor V Leiden and Prothrombin G20210A Mutations Predict Recurrent Venous Thromboembolism in Older Patients?[J]. Am J Med, 2017, 130(10): 1220.e17-1220.e22.
[33] Gregson J, Kaptoge S, Bolton T, et al. Cardiovascular Risk Factors Associated With Venous Thromboembolism[J]. JAMA Cardiol, 2019, 4(2): 163-173.
[34] Cavallari I, Morrow DA, Creager MA, et al. Frequency, Predictors, and Impact of Combined Antiplatelet Therapy on Venous Thromboembolism in Patients With Symptomatic Atherosclerosis[J]. Circulation, 2018, 137(7): 684-692.
[35] Peng YH, Lin YS, Chen CH, et al. Type 1 diabetes is associated with an increased risk of venous thromboembolism: A retrospective population-based cohort study[J]. PLoS One, 2020, 15(1): e0226997.