Chinese Journal of Nursing ›› 2023, Vol. 58 ›› Issue (4): 493-498.DOI: 10.3761/j.issn.0254-1769.2023.04.016
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MENG Lingqi(), LIU Jiahui, PENG Siyi, WEI Tao, LI Xingfeng, LIN Qin, MA Hangxia, QI Yi, LI Xuying()
Received:
2022-08-12
Online:
2023-02-20
Published:
2023-02-21
Contact:
LI Xuying
孟令琦(), 刘佳惠, 彭思意, 魏涛, 李星凤, 林琴, 马航霞, 戚熠, 李旭英()
通讯作者:
李旭英
作者简介:
孟令琦:女,本科(硕士在读),E-mail:207812079@csu.edu.cn
基金资助:
MENG Lingqi, LIU Jiahui, PENG Siyi, WEI Tao, LI Xingfeng, LIN Qin, MA Hangxia, QI Yi, LI Xuying. Research progress on risk prediction models of venous thromboembolism in trauma patients[J]. Chinese Journal of Nursing, 2023, 58(4): 493-498.
孟令琦, 刘佳惠, 彭思意, 魏涛, 李星凤, 林琴, 马航霞, 戚熠, 李旭英. 创伤患者静脉血栓栓塞症风险预测模型的研究进展[J]. 中华护理杂志, 2023, 58(4): 493-498.
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[1] | 李绍平, 潘剑. 急诊与创伤外科学[M]. 兰州: 甘肃科学技术出版社, 2017. |
Li SP, Pan J. Emergency and trauma surgery[M]. Lanzhou: Gansu Science and Technology Press, 2017. | |
[2] |
James SL, Abate D, Abate KH, et al. Global,regional, and national incidence,prevalence,and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990—2017:a systematic analysis for the Global Burden of Disease Study 2017[J]. Lancet, 2018, 392(10159):1789-1858.
DOI URL |
[3] |
马玉芬, 徐园, 王晓杰, 等. 普通外科患者静脉血栓栓塞症风险评估与预防护理专家共识[J]. 中华护理杂志, 2022, 57(4):444-449.
DOI |
Ma YF, Xu Y, Wang XJ, et al. Expert consensus on risk assessment and prevention of venous thromboembolism in general surgical patients[J]. Chin J Nurs, 2022, 57(4):444-449.
DOI |
|
[4] |
Mi YH, Xu MY. Trauma-induced pulmonary thromboembolism:what’s update[J]. Chin J Traumatol, 2022, 25(2):67-76.
DOI URL |
[5] |
Paffrath T, Wafaisade A, Lefering R, et al. Venous thromboembolism after severe trauma:incidence,risk factors and outcome[J]. Injury, 2010, 41(1):97-101.
DOI PMID |
[6] | Ho KM, Rogers FB, Chamberlain J, et al. Incremental cost of venous thromboembolism in trauma patients with contraindications to prophylactic anticoagulation:a prospective economic study[J]. J Hematol Thromb, 2022, 54(1):115-122. |
[7] |
Secemsky EA, Rosenfield K, Kennedy KF, et al. High burden of 30-day readmissions after acute venous thromboembolism in the United States[J]. J Am Heart Assoc, 2018, 7(13):e009047.
DOI URL |
[8] |
Mcquaid N, Davies P, Everington T. Updated 2018 NICE guidance on venous thromboembolism-does evidence from root cause analysis of hospital-associated thrombosis support the additional investment required[J]. Br J Haematol, 2019, 185(4):773-775.
DOI URL |
[9] |
Treasure T, Hill J. NICE guidance on reducing the risk of venous thromboembolism in patients admitted to hospital[J]. J R Soc Med, 2010, 103(6):210-212.
DOI URL |
[10] |
Rogers FB, Shackford SR, Horst MA, et al. Determining venous thromboembolic risk assessment for patients with trauma:the Trauma Embolic Scoring System[J]. J Trauma Acute Care Surg, 2012, 73(2):511-515.
DOI URL |
[11] |
Walker PF, Schobel S, Caruso JD, et al. Trauma Embolic Scor-ing System in military trauma:a sensitive predictor of venous thromboembolism[J]. Trauma Surg Acute Care Open, 2019, 4(1):e000367.
DOI URL |
[12] |
Boo S, Oh H, Hwang K, et al. Venous thromboembolism in a single Korean trauma center:incidence,risk factors,and assessing the validity of VTE diagnostic tools[J]. Yonsei Med J, 2021, 62(6):520-527.
DOI URL |
[13] |
Ho KM, Rao S, Rittenhouse KJ, et al. Use of the Trauma Embolic Scoring System(TESS) to predict symptomatic deep vein thrombosis and fatal and non-fatal pulmonary embolism in severely injured patients[J]. Anaesth Intensive Care, 2014, 42(6):709-714.
DOI URL |
[14] |
Peng G, Wang Q, Sun H, et al. Development and prospective validation of a novel risk score for predicting the risk of lower extremity deep vein thrombosis among multiple trauma patients[J]. Thromb Res, 2021, 201:116-122.
DOI PMID |
[15] |
Meizoso JP, Karcutskie CaT, Ray JJ, et al. A simplified stratification system for venous thromboembolism risk in severely injured trauma patients[J]. J Surg Res, 2017, 207:138-144.
DOI PMID |
[16] |
Greenfield LJ, Proctor MC, Rodriguez JL, et al. Posttrauma thro-mboembolism prophylaxis[J]. J Trauma, 1997, 42(1):100-103.
DOI URL |
[17] | 魏涛, 彭思意, 李旭英, 等. 肿瘤患者化疗所致恶心呕吐风险预测模型的研究进展[J]. 中国护理管理, 2019, 19(7):1083-1087. |
Wei T, Peng SY, Li XY, et al. Predictive models of chemothe-rapy-induced nausea and vomiting in cancer patients[J]. Chin Nurs Manag, 2019, 19(7):1083-1087. | |
[18] |
Bahloul M, Regaieg K, Chtara K, et al. Posttraumatic thromboembolic complications:incidence,risk factors,pathophysiology and prevention[J]. Ann Cardiol Angeiol, 2017, 66(2):92-101.
DOI PMID |
[19] | Soh M, Hifumi T, Isokawa S, et al. Persistent air embolism after blunt chest trauma with recovery to pre-existing consciousness level:a case report and literature review[J]. Neurotrauma Rep, 2022, 3(1):38-43. |
[20] |
Tuttle-Newhall JE, Rutledge R, Hultman CS, et al. Statewide,population-based,time-series analysis of the frequency and outcome of pulmonary embolus in 318,554 trauma patients[J]. J Trauma, 1997, 42(1):90-99.
DOI URL |
[21] | Black SR, Howard JT, Chin PC, et al. Toward a more robust prediction of pulmonary embolism in trauma patients:a risk assessment model based on 38,000 patients[J]. J Orthop Trau-ma, 2016, 30(4):200-207. |
[22] | Franchini M, Mengoli C, Marietta M, et al. Safety of intrave-nous tranexamic acid in patients undergoing major orthopaedic surgery:a meta-analysis of randomised controlled trials[J]. Blood Transfus, 2018, 16(1):36-43. |
[23] |
Myers SP, Kutcher ME, Rosengart MR, et al. Tranexamic acid administration is associated with an increased risk of posttraumatic venous thromboembolism[J]. J Trauma Acute Care Surg, 2019, 86(1):20-27.
DOI PMID |
[24] |
Bradley M, Shi A, Khatri V, et al. Prediction of venous thromboembolism using clinical and serum biomarker data from a military cohort of trauma patients[J]. BMJ Mil Health, 2021, 167(6):402-407.
DOI PMID |
[25] |
Hoyt BW, Baird MD, Schobel S, et al. Tranexamic acid administration and pulmonary embolism in combat casualties with orthopaedic injuries[J]. OTA Int, 2021, 4(4):e143.
DOI PMID |
[26] | 吕红燕, 冯倩. 随机森林算法研究综述[J]. 河北省科学院学报, 2019, 36(3):37-41. |
Lü HY, Feng Q. A review of random forests algorithm[J]. J Hebei Academy Sci, 2019, 36(3):37-41. | |
[27] | 李壮. 面向小样本数值表数据的自动机器学习优化方法研究[D]. 北京: 北京科技大学, 2022. |
Li Z. Research on optimization methods of automatic machine learning for small sample numerical tabular data[D]. Beijing: University of Science and Technology of Beijing, 2022. | |
[28] |
He L, Luo L, Hou X, et al. Predicting venous thromboembolism in hospitalized trauma patients:a combination of the Caprini score and data-driven machine learning model[J]. BMC Emerg Med, 2021, 21(1):60.
DOI URL |
[29] |
Green D, Hartwig D, Chen D, et al. Spinal cord injury risk assessment for thromboembolism(SPIRATE Study)[J]. Am J Phys Med Rehabil, 2003, 82(12):950-956.
DOI URL |
[30] | Sun N, Yang F, Li Y, et al. Study of a preoperative deep venous thrombosis predictor score for patients with fresh lower extremity fractures[J]. Zhonghua Wai Ke Za Zhi, 2015, 53(2):101-105. |
[31] | Lin Z, Mi B, Liu X, et al. Nomogram for predicting deep venous thrombosis in lower extremity fractures[J]. Biomed Res Int, 2021:9930524. |
[32] | Yang T, Wei G, Zhu C, et al. Incidence and risk factor analysis of deep venous thrombosis in patients with severe traumatic brain injury[J]. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue, 2019, 31(2):182-186. |
[33] |
吉云兰, 徐旭娟, 单君, 等. 严重创伤患者谵妄发生风险预测模型的构建[J]. 中华护理杂志, 2020, 55(6):811-816.
DOI |
Ji YL, Xu XJ, Shan J, et al. Construction of risk prediction model of delirium occurrence in patients with severe trauma[J]. Chin J Nurs, 2020, 55(6):811-816.
DOI |
|
[34] | 蒋伟红, 金陈娣, 李帅妮, 等. 先天性心脏病术后患儿中心静脉导管相关深静脉血栓风险预测模型的构建及验证[J]. 中华护理杂志, 2022, 57(18):2217-2224. |
Jiang WH, Jin CD, Li SN, et al. Construction and validation of a risk prediction model for central venous catheter-associated deep venous thromboses in children with congenital heart disease after surgery[J]. Chin J Nurs, 2022, 57(18):2217-2224. |
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