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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.
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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).
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Qin Li; Wenyan Zhang, Master
Data sourced from clinicaltrials.gov
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