Construction and Validation of Risk Prediction Model for PICC Catheter Displacement

June 10, 2021 updated by: Second Affiliated Hospital, School of Medicine, Zhejiang University
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.

Study Overview

Status

Active, not recruiting

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

663

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • China
    • Zhejiang
      • Hangzhou, Zhejiang, China, 310000
        • 2nd Affilicated Hospital, School of Medicine, Zhejiang University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Cancer patients with PICC

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Modeling Group
Other: Logistic Regression Analysis
Using logistic regression analysis to analyze the independent risk factors of PICC catheter displacement
Validation Group

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Prediction Model of PICC catheter displacement
Time Frame: 3 years
A mathematical model for predicting PICC catheter displacement
3 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Second Affiliated Hospital, School of Medicine, Zhejiang University

Collaborators

Sir Run Run Shaw Hospital
Zhejiang Provincial People's Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

June 27, 2019

Primary Completion (ANTICIPATED)

June 30, 2022

Study Completion (ANTICIPATED)

October 30, 2022

Study Registration Dates

First Submitted

June 10, 2021

First Submitted That Met QC Criteria

June 10, 2021

First Posted (ACTUAL)

June 14, 2021

Study Record Updates

Last Update Posted (ACTUAL)

June 14, 2021

Last Update Submitted That Met QC Criteria

June 10, 2021

Last Verified

June 1, 2021

More Information

Terms related to this study

Other Study ID Numbers

  • 2019-205

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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