Literature analysis of risk prediction models for PICC catheter-related thrombosis
10.3760/cma.j.cn211501-20221018-03201
- VernacularTitle:PICC导管相关性血栓风险预测模型的文献分析
- Author:
Kechun HU
1
;
Zhe LIU
;
Haifei LIU
;
Bing WANG
;
Weiwei LIU
Author Information
1. 首都医科大学护理学院母儿护理学系，北京 100069
- Keywords:
Thrombosis;
Nursing care;
PICC;
Risk prediction
- From:
Chinese Journal of Practical Nursing
2023;39(25):1961-1966
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To summarize literature of risk prediction models for catheter-related thrombosis in PICC at home and abroad, in order to provide reference for the development and improvement of risk prediction models for PICC catheter-related thrombosis (PICC-CRT) and the selection and use of medical staff.Methods:All studies on the risk prediction model of PICC-CRT were systematically searched in the Chinese and English literature database from June 2012 to June 2022. Two researchers independently screened the literature and extracted the data. The prediction model risk of bias assessment tool was used to evaluate the bias risk and applicability of the included literature.Results:A total of 13 articles were included, including 1 multicenter study and 12 single-center studies. Eight literatures were retrospective studies and five were prospective studies. Bias risk assessment showed that there was a bias risk in all the 6 studies. In terms of applicability evaluation, the 13 studies had good applicability in all fields and overall.Conclusions:There were various types of PICC catheter-related thrombosis risk assessment models, which had good predictive efficiency, but there was also a high risk of bias in these studies. The important contents of PICC catheter-related thrombosis risk prediction model are patient factors and treatment factors. In the future, the existing models need to be validated and improved, or a prediction model with low risk of bias should be constructed to effectively prevent PICC-CRT.
