Research progress on risk prediction model of PICC-related venous thrombosis
10.3760/cma.j.cn115682-20211021-04753
- VernacularTitle:PICC相关性静脉血栓风险预测模型的研究进展
- Author:
Xiaoxia ZHANG
1
;
Xiuying HU
Author Information
1. 四川大学华西医院乳腺外科,成都 610041
- Keywords:
Review;
Peripherally inserted central catheter;
Catheter-related thrombosis;
Risk prediction model
- From:
Chinese Journal of Modern Nursing
2022;28(12):1541-1546
- CountryChina
- Language:Chinese
-
Abstract:
Peripherally inserted central catheter-related venous thrombosis (PICC-RVT) is one of the most serious complications in catheterized patients. The high incidence of PICC-RVT in cancer patients is the leading cause of unplanned extubation, which not only increases hospital costs, but also prolongs hospital stay. PICC-RVT is preventable but difficult to treat. Changing the previous clinical thinking of "heavy treatment and light prevention", and developing a PICC-RVT risk prediction model for cancer patients can assess the risk of thrombosis in patients in advance, and is helpful for the stratified prevention and treatment of PICC-RVT, and can reduce the incidence of PICC-RVT and improve its adverse outcomes. This article reviews the published PICC-RVT risk prediction models at home and abroad, so as to provide a reference for clinical medical and nursing staff to select appropriate thrombosis risk prediction tools based on the characteristics of various specialty disease.