中华护理杂志 ›› 2022, Vol. 57 ›› Issue (23): 2834-2841.DOI: 10.3761/j.issn.0254-1769.2022.23.003
吴文瑾(), 徐亦虹, 柳小琳, 颜梦雅, 王伊娜, 王美娟, 高杨, 杨丹, 潘红英(), 沈旭慧
收稿日期:
2022-05-17
出版日期:
2022-12-10
发布日期:
2022-12-05
通讯作者:
潘红英,E-mail:panhy@srrsh.com作者简介:
吴文瑾:女,本科(硕士在读),护士,E-mail:767847839@qq.com
基金资助:
WU Wenjin(), XU Yihong, LIU Xiaolin, YAN Mengya, WANG Yina, WANG Meijuan, GAO Yang, YANG Dan, PAN Hongying(), SHEN Xuhui
Received:
2022-05-17
Online:
2022-12-10
Published:
2022-12-05
摘要:
目的 系统检索和评价中心静脉导管相关性血栓的风险预测模型,以期为构建更高质量的中心静脉导管相关性血栓的风险预测模型提供参考。方法 检索中国知网、万方数据库、中国生物医学文献数据库、PubMed、Embase、Web of Science、Cochrane Library、CINAHL中中心静脉导管相关性血栓的风险预测模型的相关研究,语种限定为中文和英文,检索时限为建库至2022年2月16日。由2名研究者独立筛选文献和提取数据,并应用预测模型研究的偏倚风险评估工具分析纳入文献的偏倚风险和适用性。结果 共纳入15项中心静脉导管相关性血栓的风险预测模型构建研究,共涉及16个模型。16个模型的受试者工作特征曲线下面积为0.641~0.850。12项研究的适用性较好,其余3项研究的适用性较差。15项研究的偏倚风险均较高,偏倚主要来自未选择合适的数据来源、研究对象的纳入和排除标准欠妥当、预测因子未完全从结局指标中被排除、样本量不足、连续性变量处理方式不合理、对缺失数据关注不足、变量筛选过程不合理、缺乏模型性能评估以及模型过度拟合等。结论 现有中心静脉导管相关性血栓的风险预测模型构建尚不完善,需要在后期的构建中关注对不同风险评估方法有效性的研究,以得到更好的高准确度的风险预测模型,为制订相关预防策略提供一定的参考和依据。
吴文瑾, 徐亦虹, 柳小琳, 颜梦雅, 王伊娜, 王美娟, 高杨, 杨丹, 潘红英, 沈旭慧. 中心静脉置管患者导管相关性血栓风险预测模型的系统评价[J]. 中华护理杂志, 2022, 57(23): 2834-2841.
WU Wenjin, XU Yihong, LIU Xiaolin, YAN Mengya, WANG Yina, WANG Meijuan, GAO Yang, YANG Dan, PAN Hongying, SHEN Xuhui. Systematic review of risk prediction models for catheter-related thrombosis in patients undergoing central venous catheterization[J]. Chinese Journal of Nursing, 2022, 57(23): 2834-2841.
表2 行中心静脉置管的患者导管相关性血栓风险预测模型的构建情况(n=15)
Table 2 Establishment of catheter-related thrombosis risk prediction model for patients undergoing central venous catheterization(n=15)
表3 行中心静脉置管的患者导管相关性血栓风险预测模型性能及预测因子(n=15)
Table 3 Performance and predictors of catheter-related thrombosis risk prediction model for patients undergoing central venous catheterization(n=15)
[1] | 马力, 刘运江, 刘荫华. 中国乳腺癌中心静脉血管通路临床实践指南(2022版)[J]. 中国实用外科杂志, 2022, 42(2):151-158. |
Ma L, Liu YJ, Liu YH. China clinical practice guidelines on central venous vascular access for breast cancer(2022 edition)[J]. Chin J Pract Surg, 2022, 42(2):151-158. | |
[2] |
Ellis ML, Okano S, McCann A, et al. Catheter-related thrombosis incidence and risk factors in adult cancer patients with central venous access devices[J]. Intern Med J, 2020, 50(12):1475-1482.
DOI URL |
[3] |
孙红, 陈利芬, 郭彩霞, 等. 临床静脉导管维护操作专家共识[J]. 中华护理杂志, 2019, 54(9):1334-1342.
DOI |
Sun H, Chen LF, Guo CX, et al. Expert consensus on venous catheter maintenance/intravenous therapy committee of Chinese Nursing Association[J]. Chin J Nurs, 2019, 54(9):1334-1342.
DOI |
|
[4] |
Pinelli F, Balsorano P, Mura B, et al. Reconsidering the GAVeCeLT consensus on catheter-related thrombosis,13 years later[J]. J Vasc Access, 2021, 22(4):501-508.
DOI URL |
[5] |
Geerts W. Central venous catheter-related thrombosis[J]. Hematology Am Soc Hematol Educ Program, 2014, 2014(1):306-311.
DOI PMID |
[6] |
Balsorano P, Virgili G, Villa G, et al. Peripherally inserted central catheter-related thrombosis rate in modern vascular access era-when insertion technique matters:a systematic review and meta-analysis[J]. J Vasc Access, 2020, 21(1):45-54.
DOI PMID |
[7] |
White D, Woller SC, Stevens SM, et al. Comparative thrombosis risk of vascular access devices among critically ill medical patients[J]. Thromb Res, 2018, 172:54-60.
DOI PMID |
[8] | 张金彪, 贾彩霞, 卢越, 等. 结合《中国骨科大手术静脉血栓栓塞症预防指南(2016版)》谈血栓标志物的应用[J]. 护理研究, 2022, 36(13):2257-2262. |
Zhang JB, Jia CX, Lu Y, et al. Application of thrombus markers combined with guidelines for prevention of venous thromboembolism in major orthopedics surgery of China(2016 Version)[J]. Chin Nurs Res, 2022, 36(13):2257-2262. | |
[9] |
鲁佳, 谢开红, 陈文思, 等. 肿瘤患者输液港相关性血栓预防及管理的最佳证据总结[J]. 中华护理杂志, 2022, 57(5):544-551.
DOI |
Lu J, Xie KH, Chen WS, et al. Evidence summary for the prevention and management of port-related venous thromboembolism in cancer patients[J]. Chin J Nurs, 2022, 57(5):544-551.
DOI |
|
[10] |
Gorski LA. The 2016 infusion therapy standards of practice[J]. Home Healthc Now, 2017, 35(1):10-18.
PMID |
[11] |
Kearon C, Akl EA, Ornelas J, et al. Antithrombotic therapy for VTE disease:CHEST guideline and expert panel report[J]. Chest, 2016, 149(2):315-352.
DOI PMID |
[12] |
Zhou X, Lin X, Shen R, et al. A retrospective analysis of risk factors associated with catheter-related thrombosis:a single-center study[J]. Perfusion, 2020, 35(8):806-813.
DOI URL |
[13] |
Wolff RF, Moons KGM, Riley RD, et al. PROBAST:a tool to assess the risk of bias and applicability of prediction model studies[J]. Ann Intern Med, 2019, 170(1):51-58.
DOI URL |
[14] |
Moons KGM, De Groot JAH, Bouwmeester W, et al. Critical appraisal and data extraction for systematic reviews of prediction modelling studies:the CHARMS checklist[J]. PLoS Med, 2014, 11(10):e1001744.
DOI URL |
[15] |
Moons KGM, Wolff RF, Riley RD, et al. PROBAST:a tool to assess risk of bias and applicability of prediction model studies:explanation and elaboration[J]. Ann Intern Med, 2019, 170(1):W1-W33.
DOI URL |
[16] |
陈茹, 王胜锋, 周家琛, 等. 预测模型研究的偏倚风险和适用性评估工具解读[J]. 中华流行病学杂志, 2020, 41(5):776-781.
PMID |
Chen R, Wang SF, Zhou JC, et al. Interpretation of bias risk and applicability assessment tools for predictive model studies[J]. Chin J Epidemiol, 2020, 41(5):776-781.
DOI PMID |
|
[17] |
Evans RS, Sharp JH, Linford LH, et al. Risk of symptomatic DVT associated with peripherally inserted central catheters[J]. Chest, 2010, 138(4):803-810.
DOI PMID |
[18] |
Malinoski D, Ewing T, Bhakta A, et al. Which central venous catheters have the highest rate of catheter-associated deep venous thrombosis:a prospective analysis of 2,128 catheter days in the surgical intensive care unit[J]. J Trauma Acute Care Surg, 2013, 74(2):454-460.
DOI PMID |
[19] | 蒿若楠, 胡芳, 张杰, 等. PICC相关性上肢深静脉血栓形成危险因素分析及风险模型的建立[J]. 天津医科大学学报, 2016, 22(2):147-150. |
Hao RN, Hu F, Zhang J, et al. Risk factors analysis and risk model establishment of PICC-associated upper extremity deep vein thrombosis[J]. J Tianjin Med Uni, 2016, 22(2):147-150. | |
[20] |
Hao N, Xie X, Zhou Z, et al. Nomogram predicted risk of peripherally inserted central catheter related thrombosis[J]. Sci Rep, 2017, 7(1):6344.
DOI PMID |
[21] |
Tabatabaie O, Kasumova GG, Kent TS, et al. Upper extremity deep venous thrombosis after port insertion:what are the risk factors?[J]. Surgery, 2017, 162(2):437-444.
DOI URL |
[22] |
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 PMID |
[23] | 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. |
Liu F, Guo YT, Xu Y, et al. Risk assessment model of PICC-related deep vein thrombosis in elderly inpatients[J]. Chin Nurs Manag, 2017, 17(4):462-466. | |
[24] | 张昊, 谢欣, 周章剑, 等. 列线图预测恶性肿瘤患者PICC导管相关血栓风险的研究[J]. 中国肿瘤临床, 2018, 45(3):137-141. |
Zhang H, Xie X, Zhou ZJ, et al. Nomogram predicted the risk for peripherally inserted central catheter related thrombosis in cancer patients[J]. Chin J Clin Oncol, 2018, 45(3):137-141. | |
[25] | 陈江琼, 闫常帅, 张杰, 等. PICC相关性上肢静脉血栓风险评估模型的构建与评价[J]. 护理学杂志, 2018, 33(17):1-5. |
Chen JQ, Yan CS, Zhang J, et al. Development and validation of a risk scoring model to predict peripherally inserted central catheter-related upper extremity venous thrombosis[J]. J Nurs Sci, 2018, 33(17):1-5. | |
[26] |
Song X, Lu H, Chen F, et al. A longitudinal observational retrospective study on risk factors and predictive model of PICC associated thrombosis in cancer patients[J]. Sci Rep, 2020, 10(1):10090.
DOI PMID |
[27] | 陈洁雅, 张国龙, 李平东, 等. 肿瘤化疗患者输液港相关性血栓的简易风险评分构建及验证[J]. 临床与病理杂志, 2020, 40(3):689-697. |
Chen JY, Zhang GL, Li PD, et al. Construction and validation of a simple risk score for venous thromboembolisms related to implanted ports in cancer patients undergoing chemotherapy[J]. J Clin Pathol Res, 2020, 40(3):689-697. | |
[28] |
Liu B, Xie J, Sun X, et al. Development and validation of a new clinical prediction model of catheter-related thrombosis based on vascular ultrasound diagnosis in cancer patients[J]. Front Cardiovasc Med, 2020, 7:571227.
DOI URL |
[29] | 杨方英, 华荣誉, 吴婉英, 等. 肿瘤患者外周静脉置入中心静脉导管相关性上肢静脉血栓风险预测列线图模型构建[J]. 肿瘤研究与临床, 2020, 32(7):456-461. |
Yang FY, Hua RY, Wu WY, et al. Establishment of risk predictive nomogram model of upper extremity venous thrombosis associated with peripherally venous inserted central catheter in cancer patients[J]. Cancer Res Clin, 2020, 32(7):456-461. | |
[30] | 王宁, 郭振江, 张媛媛, 等. 危重症患者中心静脉导管相关性血栓危险因素分析及列线图预测模型的建立[J]. 中华危重病急救医学, 2021, 33(9):1047-1051. |
Wang N, Guo ZJ, Zhang YY, et al. Risk factors analysis of central venous catheter-related thrombosis in critically ill patients and establishment of nomographic prediction model[J]. Chin Crit Care Med, 2021, 33(9):1047-1051. | |
[31] |
Peng SY, Wei T, Li XY, et al. A model to assess the risk of peripherally inserted central venous catheter-related thrombosis in patients with breast cancer:a retrospective cohort study[J]. Support Care Cancer, 2022, 30(2):1127-1137.
DOI URL |
[32] |
Du M, Haag D, Song Y, et al. Examining bias and reporting in oral health prediction modeling studies[J]. J Dent Res, 2020, 99(4):374-387.
DOI PMID |
[33] | Kang J, Sun W, Li H, et al. Validation of Michigan Risk score and D-dimer to predict peripherally inserted central catheter-related thrombosis:a study of 206,132 catheter days[J]. J Vasc Access, 2021:11297298211008772. |
[34] | NICE. Venous thromboembolism in over 16s:reducing the risk of hospital-acquired deep vein thrombosis or pulmonary embolism[EB/OL]. (2019-08-13)[2022-03-16]. https://www.nice.org.uk/guidance/ng89. |
[35] |
Fernando SM, Tran A, Cheng W, et al. VTE prophylaxis in critically ill adults:a systematic review and network meta-analysis[J]. Chest, 2022, 161(2):418-428.
DOI URL |
[36] |
Song J, Gao Y, Yin P, et al. The random forest model has the best accuracy among the four pressure ulcer prediction models using machine learning algorithms[J]. Risk Manag Healthc Policy, 2021, 14:1175-1187.
DOI URL |
[37] |
Nakagami G, Yokota S, Kitamura A, et al. Supervised machine learning-based prediction for in-hospital pressure injury development using electronic health records:a retrospective observational cohort study in a university hospital in Japan[J]. Int J Nurs Stud, 2021, 119:103932.
DOI URL |
[38] |
赵洁, 常红, 李佩佩, 等. 可穿戴设备在脑卒中危险因素监测及风险预测中的研究进展[J]. 中华护理杂志, 2022, 57(9):1141-1146.
DOI |
Zhao J, Chang H, Li PP, et al. A review of wearable devices in the monitoring of stroke risk factors and risk prediction[J]. Chin J Nurs, 2022, 57(9):1141-1146.
DOI |
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