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Journal of Nursing ›› 2023, Vol. 30 ›› Issue (13): 6-12.doi: 10.16460/j.issn1008-9969.2023.13.006

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Construction of PICC-catheter related thrombosis risk visualization model with Caprini Score and coagulation index

XIANG Xiao-ting1,2,3, ZHANG Hui2,3,1, SU Chang2,3, HU Sang2,3, ZHANG Zhen2,3, XU Jing1, ZHONG Lei1,LU Ya-wei1   

  1. 1. School of Nursing, Anhui Medical University, Hefei 230601,China;
    2. the First Affiliated Hospital of Anhui Medical University,Hefei 230032,China;
    3. Anhui Provincial Public Health Clinical Center, Hefei 230032,China
  • Received:2023-02-15 Online:2023-07-10 Published:2023-08-04

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Abstract: Objective To construct a visualization model of PICC-catheter related thrombosis risk with Caprini score and D-dimer. Methods A total of 413 patients who received PICC catheterization and maintenance in our hospital from September 2018 to September 2022 were retrospectively included. Demographic data, catheterization data, Caprini score, D-dimer and other related indicators of patients were collected. Independent risk factors were analyzed by using multiple logistic regression. Caprini score, D-dimer and their combined receiver operating characteristic curve (ROC curve) were drawn respectively by MedCalc software, and the area under the curve (AUC) was compared. Results The incidence of PICC-associated thrombosis was 9.2% (38 patients). Multiple logistic regression showed that age, Caprini score, D-dimer, BMI, past medical history, chemotherapy, catheter size, and limb selection were independent risk factors for PICC-catheter related thrombosis. The AUC of Caprini score alone was 0.714; that of D-dimer alone 0.636, and that of the combined 0.876 (95%CI: 0.840~0.906). Visualization processing showed that the joint prediction model had a high degree of differentiation, and the Brier score and correction curve both showed a good calibration degree. H-L inspection (χ2=3.505,P>0.05) showed good fitting of the model. Conclusion The visualization model of PICC-catheter related thrombosis constructed by Caprini score combined with D-dimer can effectively predict the early risk of PICC-catheter related thrombosis, and provide reference for clinical treatment.

Key words: peripherally inserted central catheter, PICC-catheter related thrombosis, Caprini score, D-dimer, visualization model

CLC Number: 

  • R473
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