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Construction and Validation of Risk Prediction Model for PICC Catheter Displacement

Construction and Validation of Risk Prediction Model for PICC Catheter Displacement

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04924959
Enrollment
663
Registered
2021-06-14
Start date
2019-06-27
Completion date
2022-10-30
Last updated
2021-06-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cancer Patients With PICC

Brief summary

The occurrence of PICC catheter displacement is caused by many factors. In order to predict the risk of PICC and early warn high-risk patients, this study prospectively included patients with PICC catheter in a three Grade-A hospitals in June 2019, analyzed a variety of related factors, built a scientific and effective risk prediction model of PICC catheter displacement, and verified the goodness of fit and differential validity of the model.

Interventions

OTHERLogistic Regression Analysis

Using logistic regression analysis to analyze the independent risk factors of PICC catheter displacement

Sponsors

Sir Run Run Shaw Hospital
CollaboratorOTHER
Zhejiang Provincial People's Hospital
CollaboratorOTHER
Second Affiliated Hospital, School of Medicine, Zhejiang University
Lead SponsorOTHER

Study design

Observational model
CASE_CROSSOVER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients with PICC

Exclusion criteria

* Patients with primary ectopia during PICC catheterization * Patients with secondary ectopic adjusting length of catheter exposure * Patients with mental illness and cognitive impairment * Patients with incomplete clinical data

Design outcomes

Primary

MeasureTime frameDescription
Prediction Model of PICC catheter displacement3 yearsA mathematical model for predicting PICC catheter displacement

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026