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Journal of Nursing ›› 2023, Vol. 30 ›› Issue (13): 6-12.doi: 10.16460/j.issn1008-9969.2023.13.006

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Construction of PICC-catheter related thrombosis risk visualization model with Caprini Score and coagulation index

XIANG Xiao-ting1,2,3, ZHANG Hui2,3,1, SU Chang2,3, HU Sang2,3, ZHANG Zhen2,3, XU Jing1, ZHONG Lei1,LU Ya-wei1   

  1. 1. School of Nursing, Anhui Medical University, Hefei 230601,China;
    2. the First Affiliated Hospital of Anhui Medical University,Hefei 230032,China;
    3. Anhui Provincial Public Health Clinical Center, Hefei 230032,China
  • Received:2023-02-15 Online:2023-07-10 Published:2023-08-04

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Abstract: Objective To construct a visualization model of PICC-catheter related thrombosis risk with Caprini score and D-dimer. Methods A total of 413 patients who received PICC catheterization and maintenance in our hospital from September 2018 to September 2022 were retrospectively included. Demographic data, catheterization data, Caprini score, D-dimer and other related indicators of patients were collected. Independent risk factors were analyzed by using multiple logistic regression. Caprini score, D-dimer and their combined receiver operating characteristic curve (ROC curve) were drawn respectively by MedCalc software, and the area under the curve (AUC) was compared. Results The incidence of PICC-associated thrombosis was 9.2% (38 patients). Multiple logistic regression showed that age, Caprini score, D-dimer, BMI, past medical history, chemotherapy, catheter size, and limb selection were independent risk factors for PICC-catheter related thrombosis. The AUC of Caprini score alone was 0.714; that of D-dimer alone 0.636, and that of the combined 0.876 (95%CI: 0.840~0.906). Visualization processing showed that the joint prediction model had a high degree of differentiation, and the Brier score and correction curve both showed a good calibration degree. H-L inspection (χ2=3.505,P>0.05) showed good fitting of the model. Conclusion The visualization model of PICC-catheter related thrombosis constructed by Caprini score combined with D-dimer can effectively predict the early risk of PICC-catheter related thrombosis, and provide reference for clinical treatment.

Key words: peripherally inserted central catheter, PICC-catheter related thrombosis, Caprini score, D-dimer, visualization model

CLC Number: 

  • R473
[1] 周纪云,王爱红,卢菲等.血液系统恶性肿瘤病人PICC相关性血栓风险预测模型的构建[J].护理研究, 2022,36(10):1758-1763.DOI:10.12102/j.issn.1009-6493.2022.10.011.
[2] 田旭,陈慧,宋国敏,等.基于Meta分析的肿瘤患者经外周置入中心静脉导管相关性静脉血栓形成风险预测模型构建[J].临床与病理杂志, 2017, 37(4):772-778.DOI:10.3978/j.issn.2095-6959.2017.04.021.
[3] 李乾,赵欣,张晓维等.国内成人肿瘤患者PICC相关性血栓发生率的Meta分析[J].中华护理杂志, 2022,57(3):348-355.DOI:10.3761/j.issn.0254-1769.2022.03.016.
[4] 陈江琼,闫常帅,张杰,等.PICC相关性上肢静脉栓血风险评估模型的构建与评价[J].护理学杂志,2018,33(7):1-5.DOI:10.3870/j.issn.1001-4152.2018.17.001.
[5] 刘芬,郭豫涛,徐月,等.老年住院患者PICC相关深静脉血栓风险评估模型研究[J].中国护理管理,2017,17(4):462-466.DOI:10.3969/j.issn.1672-1756.2017.04.007.
[6] Seeley MA, Santiago M, Shott S.Prediction tool for thrombi associated with peripherally inserted central catheters[J]. J Infus Nurs,2007,30(5):280-286.DOI:10.1097/01.NAN.0000292570.62763.3f.
[7] Chopra V, Kaatz S, Conlon A, et al.The Michigan Risk Score to predict peripherally inserted central catheter-associated thrombosis[J]. J Thromb Haemost,2017,15(10):1951-1962.DOI:10.1111/jth.13794.
[8] 王蕾,魏亚楠,杨玉山,等.髋部骨折术后患者血液凝血四项、D-二聚体水平与感染及血栓发生的关系[J].分子诊断与治疗杂志, 2022, 14(2):253-257.DOI:10.3969/j.issn.1674-6929.2022.02.019.
[9] 张文丽,周鸿晨,宗朋,等.D-二聚体和肌钙蛋白I在急性心肌梗死与主动脉夹层早期鉴别中的应用[J].标记免疫分析与临床,2021,28(11):1874-1877.DOI:10.11748/bjmy.issn.1006-1703.2021.11.014.
[10] Al-Asadi O, Almusarhed M, Eldeeb H.Predictive risk factors of venous thromboembolism (VTE) associated with peripherally inserted central catheters (PICC) in ambulant solid cancer patients: retrospective single Centre cohort study[J]. Thromb J,2019,17(2):1-7.DOI: 10.1186/s12959-019-0191-y.
[11] Li X, Wang G, Yan K, et al.The incidence, risk factors, and patterns of peripherally inserted central catheter-related venous thrombosis in cancer patients followed up by ultrasound[J]. Cancer Manag Res, 2021,13:4329-4340.DOI: 10.2147/CMAR.S301458.
[12] 冯月,李俊英.PICC相关性静脉血栓风险评估工具在肿瘤患者中应用的有效性研究[J].中国护理管理,2020,20(8):1258-1262.DOI:10.3969/j.issn.1672-1756.2020.08.030.
[13] Golemi I, Adum J P S, Tafur A, et al. Venous thromboembolism prophylaxis using the Caprini score[J]. Dis Mon,2019,65(8):249-298.DOI:10.1016/j.disamonth.2018.12.004.
[14] 唐文娟,石贞仙,张彩云,等.脑卒中患者发生深静脉血栓危险因素的Meta分析[J].中华护理杂志,2019,54(7):989-994. DOI:10.3761/j.issn.0254-1769.2019.07.006.
[15] Chopard R, Albertsen IE, Piazza G.Diagnosis and Treatment of lower extremity venous thromboembolism: a review[J]. JAMA,2020, 324(17):1765-1776.DOI:10.1001/jama.2020.17272.
[16] 0samah A Manar A, Hany E. Predictive risk factors of venous thromboembolism (VTE)associated with peripherally inserted central catheters (PICC) in ambulant solid cancer patients:retrospective single centre cohort study[J].Thromb J,2019,17(1):2.DOI:10.1186/s12959-019-0191-y.
[17] 王国栋,沈艳芬,董静,等.恶性肿瘤病人发生PICC相关性血栓的相关因素研究[J].肠外与肠内营养, 2019,26(6):331-336. DOI:10.16151/j.1007-810x.2019.06.004.
[18] 陈志波,陈钦昌,李勇辉,等.身体质量指数与深静脉血栓形成因果关系的孟德尔随机化研究[J].中华血管外科杂志,2019,4(4):247-251.DOI:10.3760/cma.j.issn.2096-1863.2019.04.011.
[19] 裘成莉,潘巧玲,徐国栋,等.食管癌化疗患者置入中心静脉导管相关性血栓的危险因素分析[J].中华全科医学,2018,16(9):1566-1569.DOI:10.16766/j.cnki.issn.1674-4152.000426.
[20] 田婷,黄锐娜,戚熠,等.肿瘤患者PICC置管相关静脉血栓形成危险因素Meta分析[J].护理学报,2019,26(11):49-54. DOI:10.16460/j.issn1008-9969.2019.11.049.
[21] 袁会军,钱才,黄燕.高血压与下肢深静脉血栓形成的相关性研究[J].血栓与止血学,2017,23(5):804-806. DOI:10.3969/j.issn.1009-6213.2017.05.027.
[22] Dadashzadeh ER, Bou-Samra P, Huckaby LV,et al.Leveraging decision curve analysis to improve clinical application of surgical risk calculators[J]. J Surg Res, 2021,261:58-66.DOI:10.1016/j.jss.2020.11.059.
[23] 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:10.3870/j.issn.1001-4152.2018.07.054.
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