Volume 20 Issue 10
Oct.  2022
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Article Navigation >  Chinese Journal of General Practice  > 2022  >  20(10): 1637-1640
LI Qin-ling, WANG Yang, DAI Hui, GE Li. Establishment of clinical warning tool based on the influencing factors of PICC catheter occlusion in critically ill patients[J]. Chinese Journal of General Practice, 2022, 20(10): 1637-1640. doi: 10.16766/j.cnki.issn.1674-4152.002667
Citation: LI Qin-ling, WANG Yang, DAI Hui, GE Li. Establishment of clinical warning tool based on the influencing factors of PICC catheter occlusion in critically ill patients[J]. Chinese Journal of General Practice, 2022, 20(10): 1637-1640. doi: 10.16766/j.cnki.issn.1674-4152.002667
shu

Establishment of clinical warning tool based on the influencing factors of PICC catheter occlusion in critically ill patients

doi: 10.16766/j.cnki.issn.1674-4152.002667

  • Department of Emergency Medicine, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, China

Funds:

 82102307

 YG2021QN43

  • Received Date: 2022-02-20
    Available Online: 2022-11-30
    Abstract
  •   Objective   To explore the risk factors of peripherally inserted central catheter (PICC) complicated with occlusion in critically ill patients and establish a clinical warning tool.   Methods   Clinical data of 458 critically ill patients admitted to Xinhua Hospital from April 2011 to April 2021 were retrospectively analyzed. The software SPSS 23.0 was used to perform data analysis. The two-sample t test was applied to perform measurement data comparison and the chi-square test was used to perform count data. Binary logistic regression was applied to screen independent risk factors, and R software was used to establish a nomogram warning tool about occlusion.   Results   A total of 458 critically ill patients were included, of which 57 patients (12.4%) in the occlusion groups and 401 patients in the non-occlusion groups. The multivariate binary logistic regression analysis showed that the body mass index (OR=1.084, 95% CI: 1.043-1.126), PICC retention time (OR=1.045, 95% CI: 1.018-1.073), PICC intravenous nutrition (OR=3.025, 95% CI: 1.305-7.014) and PICC blood transfusion (OR=2.773, 95% CI: 1.151-6.683) were independent predictor for occlusion. In addition, the Bootstrap method and calibration curve analysis indicated that the predictive ability of the clinical warning tool for catheter occlusion based on the above independent risk factors was strong and stable.   Conclusion   The risk of PICC occlusion in critically ill patients cannot be ignored. Based on the tool, it could predict the risk of catheter occlusion and provide guidance for avoiding artificial superposition of risk factors.

     

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