静脉血栓栓塞症风险评估模型在临床实践中的研究进展

doi:10.20047/j.issn1673-7210.2023.07.13

Abstract
Figure/Table
References (40)
Related Citation (15)

Download: PDF (531 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Venous thromboembolism (VTE) has become the third largest vascular disease in the world, how to screen out the relevant risk factors and identify high-risk peoples is the key to clinical work. There are several VTE risk assessment models (RAM) used in clinical practice. Caprini RAM is mainly used in surgery, Padua prediction score is mainly used in medicine, and Khorana RAM is mainly used in oncology. In different clinical application scenarios, these models still have a few limitations, so designing personalized prediction models has become the main direction of research. This article aims to review the classic VTE risk assessment models and their progress in clinical applications.

Key words： Venous thromboembolism Risk assessment models Deep venous thrombosis Pulmonary embolism

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	ZHANG Shuwen HE Hui YAN Hanbing DU Yangyi LIU Wentao

Cite this article:

ZHANG Shuwen HE Hui YAN Hanbing DU Yangyi LIU Wentao. Research progress of risk assessment models for venous thromboembolism in clinical practice[J]. 中国医药导报, 2023, 20(7): 63-67.

URL:

https://www.yiyaodaobao.com.cn/EN/10.20047/j.issn1673-7210.2023.07.13 OR https://www.yiyaodaobao.com.cn/EN/Y2023/V20/I7/63

[1] Zhao Z，Zhou Q，Li X. Missed opportunities for venous thromboembolism prophylaxis during pregnancy and the postpartum period： evidence from mainland China in 2019 [J]. BMC Pregnancy Childbirth，2021，21（1）：400.
[2] Khan K，Li M，Erridge S，et al. The management and referral of iliofemoral deep venous thrombosis in North West London [J]. J Vasc Surg Venous Lymphat Disord，2020，8（2）：182-186.
[3] Chen X，Liu X，Liu J，et al. Pulmonary embolism secondary to deep venous thrombosis：A retrospective and observational study for clinical characteristics and risk stratification [J]. Phlebology，2021，36（8）：627-635.
[4] Cronin M，Dengler N，Krauss ES，et al. Completion of the Updated Caprini Risk Assessment Model （2013 Version） [J]. Clin Appl Thromb Hemost，2019，25：107602961983805.
[5] Bo H，Li Y，Liu G，et al. Assessing the Risk for Development of Deep Vein Thrombosis among Chinese Patients using the 2010 Caprini Risk Assessment Model：A Prospective Multicenter Study [J]. J Atheroscler Thromb，2020，27（8）：801- 808.
[6] Wang H，Lv B，Li W，et al. Diagnostic Performance of the Caprini Risk Assessment Model Combined With D-Dimer for Preoperative Deep Vein Thrombosis in Patients With Thoracolumbar Fractures Caused by High-Energy Injuries [J]. World Neurosurg，2022，157：e410-e416.
[7] Krauss ES，Segal A，Cronin M，et al. Implementation and Validation of the 2013 Caprini Score for Risk Stratification of Arthroplasty Patients in the Prevention of Venous Thrombosis [J]. Clin Appl Thromb Hemost，2019，25：107602961983 8066.
[8] Bateman DK，Dow RW，Brzezinski A，et al. Correlation of the Caprini Score and Venous Thromboembolism Incidence Following Primary Total Joint Arthroplasty-Results of a Single-Institution Protocol [J]. J Arthroplasty，2017，32（12）：3735-3741.
[9] Lu X，Zeng W，Zhu L，et al. Application of the Caprini risk assessment model for deep vein thrombosis among patients undergoing laparoscopic surgery for colorectal cancer [J]. Medicine（Baltimore），2021，100（4）：e24479.
[10] Chandra D，Dabhi K，Lester W. Are we assessing venous thromboembolism （VTE） risk appropriately for hospitalised medical patients? The National VTE Risk Assessment Tool versus Padua Prediction Score [J]. Br J Haematol，2020， 189（1）：e16-e18.
[11] Lavon O，Tamir T. Evaluation of the Padua Prediction Score ability to predict venous thromboembolism in Israeli non- surgical hospitalized patients using electronic medical records [J]. Sci Rep，2022，12（1）：6121.
[12] Barbar S，Noventa F，Rossetto V，et al. A risk assessment model for the identification of hospitalized medical patients at risk for venous thromboembolism：the Padua Prediction Score [J]. J Thromb Haemost，2010，8（11）：2450-2457.
[13] Arpaia GG，Caleffi A，Marano G，et al. Padua prediction score and IMPROVE score do predict in-hospital mortality in Internal Medicine patients [J]. Intern Emerg Med，2020， 15（6）：997-1003.
[14] Sartori M，Gabrielli F，Favaretto E，et al. Proximal and isolated distal deep vein thrombosis and Wells score accuracy in hospitalized patients [J]. Intern Emerg Med，2019，14（6）：941-947.
[15] Mugeni R，Nkusi E，Rutaganda E，et al. Proximal deep vein thrombosis among hospitalised medical and obstetric patients in Rwandan university teaching hospitals：prevalence and associated risk factors：a cross-sectional study [J]. BMJ Open，2019，9（11）：e032604.
[16] Khorana AA，Kuderer NM，Culakova E，et al. Development and validation of a predictive model for chemotherapy-associated thrombosis [J]. Blood，2008，111（10）：4902-4907.
[17] van Es N，Ventresca M，Di Nisio M，et al. The Khorana score for prediction of venous thromboembolism in cancer patients：An individual patient data meta-analysis [J]. J Thromb Haemost，2020，18（8）：1940-1951.
[18] van Es N ，Franke VF，Middeldorp S，et al. The Khorana score for the prediction of venous thromboembolism in patients with pancreatic cancer [J]. Thromb Res，2017，150：30-32.
[19] Pabinger I，van Es N，Heinze G，et al. A clinical prediction model for cancer-associated venous thromboembolism：a development and validation study in two independent prospective cohorts [J]. Lancet Haematology，2018，5（7）：e289-e298.
[20] 张敏，丁昉，孙湛，等.静脉血栓栓塞症风险评估模型研究进展与启示[J].中国卫生质量管理，2020，27（6）：46- 49.
[21] Cheuk BL，Cheung GC，Cheng SW. Epidemiology of venous thromboembolism in a Chinese population [J]. Br J Surg，2004，91（4）：424-428.
[22] Law Y，Chan YC，Cheng SWK. Epidemiological updates of venous thromboembolism in a Chinese population [J]. Asian J Surg，2018，41（2）：176-182.
[23] Zhai Z，Kan Q，Li W，et al. VTE Risk Profiles and Prophylaxis in Medical and Surgical Inpatients：The Identification of Chinese Hospitalized Patients’ Risk Profile for Venous Thromboembolism （DissolVE-2）-A Cross-sectional Study [J]. Chest，2019，155（1）：114-122.
[24] 罗小云，张福先.Caprini风险评估模型在综合医院住院患者中的应用[J].中华医学杂志，2017，97（24）：1875- 1877.
[25] 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.
[26] 牛敬荣，张丽金，杨文爽.绝经期非肿瘤女性发生静脉血栓栓塞症的危险因素分析及预测模型构建[J].第三军医大学学报，2020，42（22）：2224-2230.
[27] Mulder FI，Horváth-Puhó E，van Es N，et al. Venous thromboembolism in cancer patients：a population-based cohort study [J]. Blood，2021，137（14）：1959-1969.
[28] Caprini JA. Individual risk assessment is the best strategy for thromboembolic prophylaxis [J]. Dis Mon，2010，56（10）：552-559.
[29] Wang X，Huang J，Bingbing Z，et al. Risk factors，risk assessment，and prognosis in patients with gynecological cancer and thromboembolism [J]. J Int Med Res，2020，48（4）：300060519893173.
[30] Li S，Gao P，Qiu J，et al. A modified Khorana score as a risk assessment tool for predicting venous thromboembolism in newly diagnosed advanced lung cancer [J]. J Thromb Thrombolysis，2021，52（3）：898-903.
[31] Bates SM，Rajasekhar A，Middeldorp S，et al. American Society of Hematology 2018 guidelines for management of venous thromboembolism：venous thromboembolism in the context of pregnancy [J]. Blood Adv，2018，2（22）：3317- 3359.
[32] Pomp ER，Lenselink AM，Rosendaal FR，et al. Pregnancy，the postpartum period and prothrombotic defects：risk of venous thrombosis in the MEGA study [J]. J Thromb Haemost，2008，6（4）：632-637.
[33] Chen Y，Dai Y，Song J，et al. Establishment of a risk assessment tool for pregnancy-associated venous thromboembolism and its clinical application：protocol for a prospective observational study in Beijing [J]. BMC Pregnancy Childbirth，2019，19（1）：294.
[34] Ge YZ，Zhang C，Cai YQ，et al. Application of the RCOG Risk Assessment Model for Evaluating Postpartum Venous Thromboembolism in Chinese Women：A Case-Control Study [J]. Med Sci Monit，2021，27：e929904.
[35] Huang C，Wang Y，Li X，et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan，China [J]. The Lancet，2020，395（10223）：497-506.
[36] Zhang L，Feng X，Zhang D，et al. Deep Vein Thrombosis in Hospitalized Patients With COVID-19 in Wuhan，China：Prevalence，Risk Factors，and Outcome [J]. Circulation，2020，142（2）：114-128.
[37] Wang D，Hu B，Hu C，et al. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan，China [J]. JAMA，2020，323（11）：1061-1069.
[38] Li JY，Wang HF，Yin P，et al. Clinical characteristics and risk factors for symptomatic venous thromboembolism in hospitalized COVID-19 patients：A multicenter retrospective study [J]. J Thromb Haemost，2021，19（4）：1038- 1048.
[39] Willan J，Katz H，Keeling D. The use of artificial neural network analysis can improve the risk-stratification of patients presenting with suspected deep vein thrombosis [J]. Br J Haematol，2019，185（2）：289-296.
[40] Yang Y，Wang X，Huang Y，et al. Ontology-based venous thromboembolism risk assessment model developing from medical records [J]. BMC Med Inform Decis Mak，2019，19（Suppl 4）：151.