Extravasation of Contrast Media
Conditions
Keywords
Extravasation of Contrast Media, Predictive Models, Machine, Risk Management
Brief summary
This study aims to develop a risk prediction model for iodine contrast agent extravasation from peripheral veins and to implement this model clinically to establish a risk control management system for iodine contrast agent extravasation.A case-control study design was employed to collect data for model development. The case group comprised patients who experienced iodine contrast agent extravasation during enhanced CT examinations, while the control group included patients who underwent similar examinations without extravasation.
Detailed description
In this study, a retrospective case-control design was utilized to collect data from patients who underwent enhanced CT examinations at our medical center. In line with the nursing management protocols of our center, all cases of iodine contrast extravasation require treatment and follow-up, necessitating the creation of an electronic record for each affected patient. During the establishment of these records, researchers obtained consent from the affected patients to include them in the study. Upon receiving approval, relevant data from the records were extracted for research purposes. For the non-extravasation group, researchers approached eligible patients or their guardians after the examination, explained the study's objectives, and collected pertinent data through Electronic Medical Record System after obtaining informed consent. The collected data encompass general demographic information (including age, gender, height, and weight), medical history (including conditions such as malignant tumors, chemotherapy treatments, hypertension, and diabetes), and examination parameters (including specific examination items, types of contrast agents, injection dosages, and flow rates). Additionally, the dataset includes venous access details (such as vascular conditions, peripheral venous catheter insertion sites, and catheter models) and environmental factors (such as maximum and minimum temperatures and temperature variations).
Interventions
None listed
Sponsors
Zhang Wenyan
Study design
Observational model
CASE_CONTROL
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
1. Volunteer to participate in this study. 2. Without contraindications such as iodine contrast allergy or hyperthyroidism. -
Exclusion criteria
1. There are communication barriers between researchers and patients. 2. Due to critical condition or unstable vital signs, patients should be transferred to relevant clinical departments for treatment or observation immediately after examination.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| accuracy of prediction model | through study completion, an average of 1 year | the ratio of correct predictions to the total number of model predictions(%) |
| the incidence of peripheral venous iodine contrast agent extravasation | One year before and after the prediction model is put into use. | the number of iodine contrast agent extravasation times divided by the total number of enhanced CT examinations during the same period(%) |
Countries
China
Contacts
Primary ContactWenyan Zhang, Master
Backup ContactQin Li
Outcome results
None listed