Abstract
Purpose
To determine the occurrence and risk factors of contrast media extravasation (CME) during contrast-enhanced computed tomography (CECT).
Methods
This is an observational retrospective study. 378,082 cases who underwent CECT scans between January 2017 and December 2023 were initially included. The total and annual incidence of CME were examined. Subsequently, 155,547 cases with sufficient information were finally included for risk analysis. Risk factors of CME were investigated using logistic regression with generalized estimating equation analyses. Besides, risk factors of large-volume (≥50 ml) CME were also surveyed.
Results
The incidence of CME decreased steadily from 0.18 % in 2017 to 0.07 % in 2023, with an overall rate of 0.11 % (431/378,082). Multivariate analysis revealed that female [odds ratio (OR) = 1.683; P < 0.001], age (OR = 1.017; P < 0.001), BMI < 18.5 (OR = 2.083; P < 0.001), emergency patient (OR = 1.950; P < 0.001), diabetes mellitus (OR = 2.650; P = 0.001), iohexol injection (OR = 1.721; P = 0.006), iopamidol injection (OR = 1.640; P = 0.006), and without saline flush (OR = 3.336; P < 0.001) were the risk factors of CME. 24 ≤ BMI < 28 (OR = 0.686; P = 0.002) was a protective factor for CME. In addition, male, BMI ≥ 28, 18-gauge injection, elbow fossa injection, and upper-arm injection were the risk factors for large-volume CME.
Conclusions
CME was uncommon during CECT. Several risk factors identified for CME and large-volume CME may have the potential to reduce the occurrence and severity of CME.
To determine the occurrence and risk factors of contrast media extravasation (CME) during contrast-enhanced computed tomography (CECT).
Methods
This is an observational retrospective study. 378,082 cases who underwent CECT scans between January 2017 and December 2023 were initially included. The total and annual incidence of CME were examined. Subsequently, 155,547 cases with sufficient information were finally included for risk analysis. Risk factors of CME were investigated using logistic regression with generalized estimating equation analyses. Besides, risk factors of large-volume (≥50 ml) CME were also surveyed.
Results
The incidence of CME decreased steadily from 0.18 % in 2017 to 0.07 % in 2023, with an overall rate of 0.11 % (431/378,082). Multivariate analysis revealed that female [odds ratio (OR) = 1.683; P < 0.001], age (OR = 1.017; P < 0.001), BMI < 18.5 (OR = 2.083; P < 0.001), emergency patient (OR = 1.950; P < 0.001), diabetes mellitus (OR = 2.650; P = 0.001), iohexol injection (OR = 1.721; P = 0.006), iopamidol injection (OR = 1.640; P = 0.006), and without saline flush (OR = 3.336; P < 0.001) were the risk factors of CME. 24 ≤ BMI < 28 (OR = 0.686; P = 0.002) was a protective factor for CME. In addition, male, BMI ≥ 28, 18-gauge injection, elbow fossa injection, and upper-arm injection were the risk factors for large-volume CME.
Conclusions
CME was uncommon during CECT. Several risk factors identified for CME and large-volume CME may have the potential to reduce the occurrence and severity of CME.
| Original language | English |
|---|---|
| Article number | 111992 |
| Number of pages | 7 |
| Journal | European Journal of Radiology |
| Volume | 184 |
| Early online date | 7 Feb 2025 |
| DOIs | |
| Publication status | Published - Mar 2025 |
Bibliographical note
© 2025 ElsevierCopyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.
This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.
Funding
The authors thank the Medical Health Science and Technology Project of Zhejiang Provincial Health Commission (Grant No. 2024KY1036, 2023KY106). We are also grateful to the statistician, Dr Z.C., for meticulously checking our methodology.
| Funders | Funder number |
|---|---|
| Medical Health Science and Technology Project of Zhejiang Provincial Health Commission | 2024KY1036, 2023KY106 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Computed tomography
- Contrast media
- Extravasation of diagnostic and therapeutic materials
- Injection site reactions
- Risk Factors
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
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