Predictive value of Caprini risk assessment model for deep venous thrombosis in very old patients with chronic heart failure
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(Department of Cardiology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China)

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R541.6

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    Abstract:

    Objective To analyze the value of Caprini risk assessment model in the prediction of deep venous thrombosis (DVT) in very old patients with chronic heart failure. Methods A total of 44 elderly patients with chronic heart failure and DVT who were treated in our department from January 2018 to December 2020 were enrolled as the DVT group, and another 88 elderly patients with chronic heart failure but without DVT during the same period served as the control group. The clinical data of all patients were collected, and all of them were evaluated with Caprini risk assessment model for scoring and risk classification. SPSS statistics 18.0 was used for data analysis. Logistic regression analysis was employed to analyze the risk factors for DVT in elderly patients with chronic heart failure. Receiver operating characteristic (ROC) curve was plotted to analyze the diagnostic value of Caprini risk assessment model for DVT in elderly patients with chronic heart failure. Results The Caprini score was significantly higher in the DVT group than the control group [(7.77±1.96) vs (5.77±1.36), P<0.001]. Multivariate logistic regression analysis showed that Caprini score was the independent risk factor for DVT in elderly patients with chronic heart failure (OR=1.733, 95%CI 1.193-2.519, P<0.05). ROC curve analysis showed that the area under the curve for Caprini risk assessment model was 0.801 in the prediction of DVT in elderly patients with chronic heart failure (95%CI 0.723-0.879). Conclusion The Caprini risk assessment model has a good predictive value for DVT in elderly patients with chronic heart failure, and can be used to assess the risk of thrombosis for them.

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History
  • Received:February 20,2021
  • Revised:
  • Adopted:
  • Online: November 29,2021
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