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Journal of Nursing ›› 2019, Vol. 26 ›› Issue (22): 1-5.doi: 10.16460/j.issn1008-9969.2019.22.001

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Comparison of Predictive Power for PICC-related Venous Thromboembolism among Cancer Patients of Autar DVT Risk Assessment Scale and Caprini Risk Assessment Scale

LI Qian-linga, GAN Xiu-nia, LI Yuanb, TANG Weic   

  1. a. Dept. of Nursing Administration; b. Dept. of Critical Care Medicine; c. Dept. of Nephrology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
  • Received:2019-04-14 Published:2020-07-27

Abstract: Objective To compare the predictive power for PICC-related venous thromboembolism in cancer patients of Autar DVT risk assessment scale and Caprini risk assessment scale. Methods We retrospectively collected the data of 125 cases of cancer patients from 2012 to 2017 including their general information and PICC information. Patients with confirmed PICC-related venous thromboembolism were selected as case group, and according to the same tumor type, a 1∶4 pairing method was used, those without PICC-related venous thrombosis were selected as control group. Autar scale and Caprini risk assessment scale were used and we analyzed the best diagnostic threshold value of the two scales. Results The sensitivity and specificity of Caprini risk assessment scale were 0.661 and 0.724 respectively and the best diagnostic threshold value of it was 7. The sensitivity and specificity of of Autar scale was 0.642 and 0.555 respectively and the best diagnostic threshold value 10. The area under the ROC curve of Autar scale was 0.632 and that of Caprini risk assessment scale 0.763. Conclusion The predictive power of Caprini risk assessment scale is higher than that of Autar scale, which could better predict PICC-related venous thromboembolism for cancer patients for its higher sensitivity and specificity.

Key words: Autar scale, Caprini risk assessment scale, PICC-related venous thromboembolism, risk assessment

CLC Number: 

  • R473.73
[1] Luo L, Jing X, Wang G, et al.Peripherally Inserted Central Catheter-related Upper Extremity Venous Thrombosis in Oncology Patients[J]. J Ultrasound Med, 2016,35(8):1759-1763.DOI:10.7863/ultra.15.08019.
[2] Fallouh N, McGuirk H M, Flanders S A, et al. Peripherally Inserted Central Catheter-associated Deep Vein Thrombosis: A Narrative Review[J]. Am J Med, 2015,128(7):722-738.10.7863.DOI:10.1016/j.amjmed.2015.01.027.
[3] Zhang X, Huang J, Xia Y, et al.High Risk of Deep Vein Thrombosis Associated with Peripherally Inserted Central Catheters in Lymphoma[J]. Oncotarget, 2016,7(23):35404-35411.DOI:10.18632/oncotarget.8639.
[4] Menéndez J J, Verdú C, Calderón B, et al.Incidence and Risk Factors of Superficial and Deep Vein Thrombosis Associated with Peripherally Inserted Central Catheters in Children[J]. J Thromb Haemost, 2016,14(11):2158-2168.DOI:10.1111/jth.13478.
[5] Paauw J D, Borders H, Ingalls N, et al.The Incidence of PICC Line-associated Thrombosis with and without the Use of Prophylactic Anticoagulants[J]. J Parenter Enteral Nutr, 2008, 32(4):443-447.DOI:10.1177/0148607108319801.
[6] Cotogni P, Barbero C, Garrino C, et al.Peripherally Inserted Central Catheters in Non-hospitalized Cancer Patients: 5-Year Results of a Prospective Study[J]. Support Care Cancer, 2015, 23(2):403-409. DOI:10.1007/s00520-014-2387-9.
[7] 宋燕伶,何金爱,刘胤佃,等. PICC导管/静脉直径比最佳临界值的研究[J]. 中国护理管理, 2017,17(6):737-742.DOI:10.3969/j.issn.1672-1756.2017.06.005.
[8] Autar R.Nursing Assessment of Clients at Risk of Deep Vein Thrombosis (DVT): The Autar DVT Scale[J]. J Adv Nurs, 1996, 23(4):763-770.DOI:10.1111/j.1365-2648.1996.tb00049.x.
[9] Autar R.Evidence for the Prevention of Venous Thromboembolism[J]. Br J Nurs, 2006,15(18):980-986.
[10] 陈亚萍,张慧,王婷婷,等. 不同风险评估量表预测静脉血栓栓塞症风险的效果研究[J]. 护理研究, 2017,31(34):4404-4407.DOI:10.3969/j.issn.1009-6493.2017.34.026.
[11] 张成欢,李莹,刘云,等. 不同量表对髋膝关节置换患者深静脉血栓形成预测效果的对比研究[J]. 中华护理杂志,2017,52(4):503-506.DOI:10.3761/j.issn.0254-1769.2017.04.028.
[12] 张成欢,刘云. 骨科手术患者相关血栓形成风险评估的研究进展[J]. 医学研究生学报, 2015(4):445-448.DOI:10.3969/j.issn.1008-8199.2015.04.027.
[13] 万光明. Autar量表在肺癌患者经外周静脉置入中心静脉导管相关上肢静脉血栓形成风险评估中的应用[J]. 中华临床营养杂志, 2016,24(6):376-379.DOI:10.3760/cma.j.issn.1674-635X.2016.06.010.
[14] 万光明,颜美琼. 风险预警管理在预防肺癌患者经外周静脉置入中心静脉导管相关性血栓的临床观察[J]. 中华临床营养杂志, 2014,22(5):313-316.DOI:10.3760/cma.j.issn.1674-635X.2014.05.014.
[15] Caprini J A.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.
[16] 周亚婷,史颜梅,白琳,等. 两种血栓风险评估模型在住院患者深静脉血栓形成中的预测价值研究[J]. 解放军护理杂志, 2018,35(4):27-31.DOI:10.3969/j.issn.1008-9993.2018.04.005.
[17] 朱薇,应燕萍,黄惠桥,等. 三种评分表预测PICC相关上肢深静脉血栓效果比较研究[J]. 护理学杂志, 2018,33(7):54-56.DOI:10.3807/j.ssn.1001-4152.2018.07.054.
[18] 陈亚萍,马玉芬,邢颖,等. 不同风险评估量表预测骨科术后病人静脉血栓栓塞症风险的研究[J].护理研究, 2018(15):2485-2487.DOI:10.3969/j.issn.1009-6493.2017.34.026.
[19] 张成欢,李莹,刘云,等. 关节置换患者围手术期深静脉血栓形成预防现状的多中心研究[J]. 中国护理管理, 2016, 16(2):180-185.DOI:10.3969/j.issn.1672-1756.2016.02.009.
[20] 张晓勤,何丹,黎嘉嘉,等. Caprini血栓风险评估量表评估重症住院患者静脉血栓栓塞风险的有效性研究[J]. 四川大学学报(医学版), 2015,46(5):732-735.DOI:10.13464/j.scuxbyxb.2015.05.017.
[21] 陈小兰,王勇,潘磊. Caprini评估模型筛选老年重症肺炎深静脉血栓的有效性[J]. 北京医学, 2016,38(10):989-993.DOI:10.15932/j.0253-9713.2016.10.006.
[22] 马军,吴一龙,秦叔逵,等. 中国肿瘤相关静脉血栓栓塞症预防与治疗专家指南(2015版)[J]. 中国实用内科杂志, 2015,35(11):907-920.DOI:10.3969/j.issn.1000-8179.2015.20.015.
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