American Journal of Internal Medicine

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Predictive Value of Caprini Venous Thromboembolism Risk Assessment Model for Deep Vein Thrombosis in Intensive Care Unit Non-surgical Patients

Received: Feb. 09, 2020    Accepted: Feb. 19, 2020    Published: Feb. 28, 2020
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Abstract

Objective: By evaluating the relationship between deep vein thrombosis (DVT) in intensive care unit (ICU) non-surgical patients and Caprini venous thromboembolism risk assessment model (Caprini model for short), the predictive value of Caprini model in ICU non-surgical patients was analyzed. Methods: 200 ICU non-surgical inpatients in the first affiliated hospital of Jinan university from April to September 2019 were retrospectively analyzed. General data of patients and the number of new DVT events were collected, and Caprini model was used for scoring the risk of venous thromboembolism (VTE). Results: There were 31 patients with DVT, accounting for 15.50%, and 169 patients without new DVT (non-DVT). Caprini model score was 9.03±2.70 in patients with DVT, higher than that in patients without DVT (6.80±2.48, P<0.001). 24 (12.00%) non-surgical ICU patients were at high risk of VTE and 171 cases (85.50%) were at very high risk. Only one patient with DVT was at high risk of VTE (3.23%), while the other 30 patients were at very high risk of VTE (96.77%). There were 1 case in low risk of VTE (0.59%), 4 cases in medium risk (2.37%), 23 cases in high risk (13.61%) and 141 cases in very high risk (83.43%) in non-DVT group. There was no significant difference in VTE risk stratification between DVT patients and non-DVT patients (P=0.063). The receiver operating characteristic (ROC) curve was plotted by using Caprini model score to predict DVT. The area under the ROC curve was 0.731, and the 95% confidence interval was 0.663-0.791 (P<0.001). The optimal cut-off point was 7, the sensitivity was 74.19%, the specificity was 65.68% and Youden’s index was 0.3897. Conclusion: The incidence of high risk and very high risk of VTE in ICU non-surgical patients was high, and Caprini model could better predict the occurrence of DVT, so it was necessary to strengthen the nursing of ICU non-surgical patients and effectively prevent DVT.

DOI 10.11648/j.ajim.20200801.18
Published in American Journal of Internal Medicine ( Volume 8, Issue 1, January 2020 )
Page(s) 40-44
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Intensive Care Unit, Deep Vein Thrombosis, Venous Thromboembolism, Risk Assessment Model, Prediction

References
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[2] Caprini J A. Risk assessment as a guide to thrombosis prophylaxis [J]. Curr Opin Pulm Med, 2010, 16 (5): 448-452.
[3] Sevens S M, Douketis J D. Deep vein thrombosis prophylaxis in hospitalized medical patients: current recommendations, general rates of implementation, and initiatives for improvement [J]. Clin Chest Med, 2010, 31 (4): 675-689.
[4] Hostlerd C, Marxe S, Mooresl K, et al. Validation of the international medical prevention registry on venous thromboembolism bleeding risk score [J]. Chest, 2016, 149 (2): 372-379.
[5] ObIa T, Pannuccl C J, Nackashl A, et al. Validation of the Caprini venous thromboembolism risk assessment model in critically ill surgical patients [J]. JAMA Surg, 2015, 150 (10): 941-948.
[6] Miner C, Potton L, Bonadona A, et al. Venous thromboembolism in the ICU: main characteristics, diagnosis and thromboprophyIaxis [J]. Crit Care, 2015, 19: 287.
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[8] Cullough M, Kholdani C, Zamanian RT. Prevention of deep vein thrombosis and pulmonary embolism in high-risk medical patients [J]. Clin Chest Med. 2018, 39 (3): 483-492.
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[15] Zhang H, Mao P, Wang C, eI al. Incidence and risk factor of deep vein thrombosis (DVT) after total hip or knee arthroplasty: a retrospective study with routinely applied venography [J]. Blood Coagul Fibrinolysis, 2017, 28 (2): 126-133.
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    Xin Zhang, Wanxian Lu, Miaohang Shan. (2020). Predictive Value of Caprini Venous Thromboembolism Risk Assessment Model for Deep Vein Thrombosis in Intensive Care Unit Non-surgical Patients. American Journal of Internal Medicine, 8(1), 40-44. https://doi.org/10.11648/j.ajim.20200801.18

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    ACS Style

    Xin Zhang; Wanxian Lu; Miaohang Shan. Predictive Value of Caprini Venous Thromboembolism Risk Assessment Model for Deep Vein Thrombosis in Intensive Care Unit Non-surgical Patients. Am. J. Intern. Med. 2020, 8(1), 40-44. doi: 10.11648/j.ajim.20200801.18

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    AMA Style

    Xin Zhang, Wanxian Lu, Miaohang Shan. Predictive Value of Caprini Venous Thromboembolism Risk Assessment Model for Deep Vein Thrombosis in Intensive Care Unit Non-surgical Patients. Am J Intern Med. 2020;8(1):40-44. doi: 10.11648/j.ajim.20200801.18

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  • @article{10.11648/j.ajim.20200801.18,
      author = {Xin Zhang and Wanxian Lu and Miaohang Shan},
      title = {Predictive Value of Caprini Venous Thromboembolism Risk Assessment Model for Deep Vein Thrombosis in Intensive Care Unit Non-surgical Patients},
      journal = {American Journal of Internal Medicine},
      volume = {8},
      number = {1},
      pages = {40-44},
      doi = {10.11648/j.ajim.20200801.18},
      url = {https://doi.org/10.11648/j.ajim.20200801.18},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajim.20200801.18},
      abstract = {Objective: By evaluating the relationship between deep vein thrombosis (DVT) in intensive care unit (ICU) non-surgical patients and Caprini venous thromboembolism risk assessment model (Caprini model for short), the predictive value of Caprini model in ICU non-surgical patients was analyzed. Methods: 200 ICU non-surgical inpatients in the first affiliated hospital of Jinan university from April to September 2019 were retrospectively analyzed. General data of patients and the number of new DVT events were collected, and Caprini model was used for scoring the risk of venous thromboembolism (VTE). Results: There were 31 patients with DVT, accounting for 15.50%, and 169 patients without new DVT (non-DVT). Caprini model score was 9.03±2.70 in patients with DVT, higher than that in patients without DVT (6.80±2.48, P<0.001). 24 (12.00%) non-surgical ICU patients were at high risk of VTE and 171 cases (85.50%) were at very high risk. Only one patient with DVT was at high risk of VTE (3.23%), while the other 30 patients were at very high risk of VTE (96.77%). There were 1 case in low risk of VTE (0.59%), 4 cases in medium risk (2.37%), 23 cases in high risk (13.61%) and 141 cases in very high risk (83.43%) in non-DVT group. There was no significant difference in VTE risk stratification between DVT patients and non-DVT patients (P=0.063). The receiver operating characteristic (ROC) curve was plotted by using Caprini model score to predict DVT. The area under the ROC curve was 0.731, and the 95% confidence interval was 0.663-0.791 (P<0.001). The optimal cut-off point was 7, the sensitivity was 74.19%, the specificity was 65.68% and Youden’s index was 0.3897. Conclusion: The incidence of high risk and very high risk of VTE in ICU non-surgical patients was high, and Caprini model could better predict the occurrence of DVT, so it was necessary to strengthen the nursing of ICU non-surgical patients and effectively prevent DVT.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Predictive Value of Caprini Venous Thromboembolism Risk Assessment Model for Deep Vein Thrombosis in Intensive Care Unit Non-surgical Patients
    AU  - Xin Zhang
    AU  - Wanxian Lu
    AU  - Miaohang Shan
    Y1  - 2020/02/28
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ajim.20200801.18
    DO  - 10.11648/j.ajim.20200801.18
    T2  - American Journal of Internal Medicine
    JF  - American Journal of Internal Medicine
    JO  - American Journal of Internal Medicine
    SP  - 40
    EP  - 44
    PB  - Science Publishing Group
    SN  - 2330-4324
    UR  - https://doi.org/10.11648/j.ajim.20200801.18
    AB  - Objective: By evaluating the relationship between deep vein thrombosis (DVT) in intensive care unit (ICU) non-surgical patients and Caprini venous thromboembolism risk assessment model (Caprini model for short), the predictive value of Caprini model in ICU non-surgical patients was analyzed. Methods: 200 ICU non-surgical inpatients in the first affiliated hospital of Jinan university from April to September 2019 were retrospectively analyzed. General data of patients and the number of new DVT events were collected, and Caprini model was used for scoring the risk of venous thromboembolism (VTE). Results: There were 31 patients with DVT, accounting for 15.50%, and 169 patients without new DVT (non-DVT). Caprini model score was 9.03±2.70 in patients with DVT, higher than that in patients without DVT (6.80±2.48, P<0.001). 24 (12.00%) non-surgical ICU patients were at high risk of VTE and 171 cases (85.50%) were at very high risk. Only one patient with DVT was at high risk of VTE (3.23%), while the other 30 patients were at very high risk of VTE (96.77%). There were 1 case in low risk of VTE (0.59%), 4 cases in medium risk (2.37%), 23 cases in high risk (13.61%) and 141 cases in very high risk (83.43%) in non-DVT group. There was no significant difference in VTE risk stratification between DVT patients and non-DVT patients (P=0.063). The receiver operating characteristic (ROC) curve was plotted by using Caprini model score to predict DVT. The area under the ROC curve was 0.731, and the 95% confidence interval was 0.663-0.791 (P<0.001). The optimal cut-off point was 7, the sensitivity was 74.19%, the specificity was 65.68% and Youden’s index was 0.3897. Conclusion: The incidence of high risk and very high risk of VTE in ICU non-surgical patients was high, and Caprini model could better predict the occurrence of DVT, so it was necessary to strengthen the nursing of ICU non-surgical patients and effectively prevent DVT.
    VL  - 8
    IS  - 1
    ER  - 

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Author Information
  • Department of Intensive Care Unit, the First Affiliated Hospital of Jinan University, Guangzhou, China

  • Department of Intensive Care Unit, the First Affiliated Hospital of Jinan University, Guangzhou, China

  • Department of Intensive Care Unit, the First Affiliated Hospital of Jinan University, Guangzhou, China

  • Section