Predictive value of Caprini risk assessment model for venous thromboembolism in critically ill patients
Li Keke
Fu Tianying
Li Qiaolian
Tian liang
Cheng Aibin
Abstract:Objective To retrospectively validate the effectiveness of the Caprini risk assessment model in assessing the risk of venous thromboembolism (VTE) in critically ill patients. Methods A case-control study design was designed to collect 72 critically ill patients diagnosed with VTE in the ICU of the affiliated hospital of north China university of science and technology from October 2012 to October 2017 as the case group, and 144 patients who had not had VTE in the same period were randomly selected as the control group. The clinical data, laboratory examinations, treatment and other related data were collected retrospectively. The patients were scored according to the Caprini evaluation model and the risk was graded to explore the different risk grading and classification. The relationship between the risk of VTE in patients was analyzed by multivariate logistic regression to analyze the main risk factors for VTE in critically ill patients. Results The Caprini score (10.50±2.91) in the case group was higher than that in the control group (6.64±2.51), and the difference was statistically significant (P<0.05). There was a statistically significant difference between the case group and the control group (P<0.05). The risk of VTE in the very high-risk patients was 17 times higher than that of the non-very high-risk patients. Regression analysis showed that lower extremity swelling, malignant tumors (previous or current), bed rest (>3 days), stroke (<1 month), and hip, pelvic or lower extremity fractures were the main risk factors for VTE in critically ill patients. Conclusion The Caprini risk assessment model has a good predictive value for the risk of VTE in critically ill patients and is worthy of clinical application.
Keywords:Critically ill patientsVenous thromboembolismRisk assessment
Publication Date:2019-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:4( 480-483 )