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A longitudinal observational retrospective study on risk factors and predictive model of PICC associated thrombosis in cancer patients

To analyze the incidence of PICC associated venous thrombosis. To predict the risk factors of thrombosis. To validate the best predictive model in predicting PICC associated thrombosis. Consecutive oncology cases in 341 who initially naive intended to be inserted central catheter for chemotherapy, w...

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Bibliographic Details
Published in:Scientific reports 2020-06, Vol.10 (1), p.10090-10090, Article 10090
Main Authors: Song, Xiaomin, Lu, Hong, Chen, Fang, Bao, Zuowei, Li, Shanquan, Li, Siqin, Peng, Yinghua, Liu, Qiao, Chen, Xiaohui, Li, Jingzhen, Zhang, Weimin
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Language:English
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Summary:To analyze the incidence of PICC associated venous thrombosis. To predict the risk factors of thrombosis. To validate the best predictive model in predicting PICC associated thrombosis. Consecutive oncology cases in 341 who initially naive intended to be inserted central catheter for chemotherapy, were recruited to our dedicated intravenous lab. All patients used the same gauge catheter, Primary endpoint was thrombosis formation, the secondary endpoint was infusion termination without thrombosis. Two patients were excluded. 339 patients were divided into thrombosis group in 59 (17.4%) and non-thrombosis Group in 280 (82.6%), retrospectively. Tumor, Sex, Age, Weight, Height, BMI, BSA, PS, WBC, BPC, PT, D-dimer, APTT, FIB, Smoking history, Location, Catheter length, Ratio and Number as independent variables were analyzed by Fisher’s scoring, then Logistic risk regression, ROC analysis and nomogram was introduced. Total incidence was 17.4%. Venous mural thrombosis in 2 (3.4%), “fibrin sleeves” in 55 (93.2%), mixed thrombus in 2 (3.4%), symptomatic thrombosis in 2 (3.4%), asymptomatic thrombosis in 57 (96.6%), respectively. Height (χ² = 4.48, P  = 0.03), D-dimer (χ² = 37.81, P  
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-020-67038-x