Literature DB >> 31617789

Relationship between Lower Dose and Injection Speed of Iodinated Contrast Material for CT and Acute Hypersensitivity Reactions: An Observational Study.

Hyo Jung Park1, Jung Hee Son1, Tae-Bum Kim1, Min Kyoung Kang1, Kyunghwa Han1, Eun Hye Kim1, Ah Young Kim1, Seong Ho Park1.   

Abstract

BackgroundThere are few data on the relationship between acute hypersensitivity reactions and the dose and injection rate of iodinated contrast material for CT.PurposeTo determine the relationship between lower dose and injection speed of iodinated contrast material for CT and the rate of acute hypersensitivity reactions.Materials and MethodsThis retrospective study included adults (age ≥18 years) undergoing nonionic iodinated contrast material-enhanced abdominal CT between August 2016 and January 2017 (control period) and between August 2017 and January 2018 (intervention period); all examinations were conducted in an outpatient setting. Compared with CT during the control period, CT during the intervention period involved a reduced dose of contrast material achieved by lowering the CT tube voltage. CT examinations in the control period were performed with 120 kVp, a contrast material dose of 2 mL/kg (maximum, 150 mL), and an injection speed of 3 or 4 mL/sec. CT examinations in the intervention period were performed with 100 kVp, a contrast material dose of 1.5 mL/kg (maximum, 130 mL), and an injection speed of 2.5 or 3 mL/sec. Per-examination rates of acute hypersensitivity reactions to iodinated contrast material were compared between the control and intervention periods with use of a multivariable Poisson regression model, the parameters of which were estimated by using generalized estimating equations with an independence correlation structure.ResultsA total of 21947 adults (mean age ± standard deviation, 59 years ± 12; 8797 women [40%]) underwent 25119 CT examinations during the control period; 23019 adults (mean age, 59 years ± 12; 9538 women [41%]) underwent 26491 CT examinations during the intervention period. The rate of acute hypersensitivity reactions was 1.42% (376 of 26491 examinations; 95% confidence interval [CI]: 1.28%, 1.57%) in the intervention period and 1.86% (468 of 25119 examinations; 95% CI: 1.70%, 2.04%) in the control period, with a multivariable-adjusted relative risk of 0.85 (95% CI: 0.74, 0.99; P = .03).ConclusionReduction in the dose and injection speed of iodinated contrast material for CT was associated with a lower rate of acute hypersensitivity reactions to iodinated contrast material.© RSNA, 2019Online supplemental material is available for this article.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31617789     DOI: 10.1148/radiol.2019190829

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  6 in total

1.  Reduced iodinated contrast media dose and injection speed for CT: how much does this decrease the risk of a hypersensitivity reactions?

Authors:  Knut Brockow
Journal:  Quant Imaging Med Surg       Date:  2020-02

Review 2.  Hypersensitivity Reactions to Iodinated Contrast Media.

Authors:  Tsu-Man Chiu; Sung-Yu Chu
Journal:  Biomedicines       Date:  2022-04-30

3.  High relaxivity Gd3+-based organic nanoparticles for efficient magnetic resonance angiography.

Authors:  Zhuang Liu; Menglong Zhao; Han Wang; Zi Fu; Hongbo Gao; Weijun Peng; Dalong Ni; Wei Tang; Yajia Gu
Journal:  J Nanobiotechnology       Date:  2022-03-31       Impact factor: 10.435

4.  Risk factors of anaphylaxis in Korea: Identifying drug-induced anaphylaxis culprits using big data.

Authors:  Kyung-Min Ahn; Byung-Keun Kim; Min-Suk Yang
Journal:  Medicine (Baltimore)       Date:  2022-09-02       Impact factor: 1.817

5.  Low dose contrast media in step-and-shoot coronary angiography with third-generation dual-source computed tomography: feasibility of using 30 mL of contrast media in patients with body surface area <1.7 m2.

Authors:  Liang Jin; Bing Jie; Yiyi Gao; An'qi Jiang; Tingwen Weng; Ming Li
Journal:  Quant Imaging Med Surg       Date:  2021-06

6.  Deep learning for cerebral angiography segmentation from non-contrast computed tomography.

Authors:  Michał Klimont; Agnieszka Oronowicz-Jaśkowiak; Mateusz Flieger; Jacek Rzeszutek; Robert Juszkat; Katarzyna Jończyk-Potoczna
Journal:  PLoS One       Date:  2020-07-31       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.