Review
Research progress on risk prediction model of PICC-related venous thrombosis
Zhang Xiaoxia, Hu Xiuying
Published 2022-04-26
Cite as Chin J Mod Nurs, 2022, 28(12): 1541-1546. DOI: 10.3760/cma.j.cn115682-20211021-04753
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.
Key words:
Review; Peripherally inserted central catheter; Catheter-related thrombosis; Risk prediction model
Contributor Information
Zhang Xiaoxia
Department of Breast Surgery, West China Hospital of Sichuan University, Chengdu 610041, China
West China School of Nursing, Sichuan University, Chengdu 610041, China
Nursing Innovation Research Center, West China Hospital of Sichuan University, Chengdu 610041, China
Hu Xiuying
West China School of Nursing, Sichuan University, Chengdu 610041, China
Nursing Innovation Research Center, West China Hospital of Sichuan University, Chengdu 610041, China
Sichuan Key Laboratory of Nursing, Chengdu 610041, China