Evidence map›Paper›PMID 37658144›Full record

ArticleEuropean radiology2024

Acute and long-term renal effects after iodine contrast media-enhanced computerised tomography in the critically ill-a retrospective bi-centre cohort study.

Felix Berglund, Ebba Eilertz, Fredrik Nimmersjö, Adam Wolf, Christopher Nordlander, Fredrik Palm, Fredric Parenmark, Johan Westerbergh, Per Liss, Robert Frithiof

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  5. Review
  6. Current Progress in the CT- and MRI-Based Detection and Evaluation of Acute Pancreatitis Complications.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Felix BerglundDepartment of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden. Felix.Berglund@uu.se.ORCID http://orcid.org/0000-0001-5151-1933
Ebba EilertzDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Fredrik NimmersjöDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Adam WolfDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Christopher NordlanderDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Fredrik PalmDepartment of Medical Cell Biology, Uppsala University, Uppsala, Sweden.
Fredric ParenmarkCentre for Research and Development, Uppsala University, Uppsala, Sweden.
Johan WesterberghUppsala Clinical Research Center, Uppsala University, Uppsala, Sweden.
Per LissDepartment of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden.
Robert FrithiofDepartment of Surgical Sciences, Anesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden.
Uppsala University · SE

Funding

Vetenskapsrådet 2014-02569Vetenskapsrådet 2014-07606
6 · The paper itself

Abstract

objectivesTo determine if current clinical use of iodine contrast media (ICM) for computerised tomography (CT) increases the risk of acute kidney injury (AKI) and long-term decline in renal function in patients treated in intensive care.

methodsA retrospective bi-centre cohort study was performed with critically ill subjects undergoing either ICM-enhanced or unenhanced CT. AKI was defined and staged based on the Kidney Disease Improve Global Outcome AKI criteria, using both creatinine and urine output criteria. Follow-up plasma creatinine was recorded three to six months after CT to assess any long-term effects of ICM on renal function.

resultsIn total, 611 patients were included in the final analysis, median age was 65.0 years (48.0-73.0, quartile 1-quartile 3 (IQR)) and 62.5% were male. Renal replacement therapy was used post-CT in 12.9% and 180-day mortality was 31.2%. Plasma creatinine level on day of CT was 100.0 µmol/L (66.0-166.5, IQR) for non-ICM group and 77.0 µmol/L (59.0-109.0, IQR) for the ICM group. The adjusted odds ratio for developing AKI if the patient received ICM was 1.03 (95% confidence interval 0.64-1.66, p = 0.90). No significant association between ICM and increase in plasma creatinine at long-term follow-up was found, with an adjusted effect size of 2.92 (95% confidence interval - 6.52-12.36, p = 0.543).

conclusionsThe results of this study do not indicate an increased risk of AKI or long-term decline in renal function when ICM is used for enhanced CT in patients treated at intensive care units. CLINICAL RELEVANCE STATEMENT: Patients treated in intensive care units had no increased risk of acute kidney injury or persistent decline in renal function after contrast-enhanced CT. This information underlines the need for a proper risk-reward assessment before denying patients a contrast-enhanced CT. KEY POINTS: • Iodine contrast media is considered a risk factor for the development of acute kidney injury. • Patients receiving iodine contrast media did not have an increased incidence of acute kidney injury or persistent decline in renal function. • A more clearly defined risk of iodine contrast media helps guide clinical decisions whether to perform contrast-enhanced CTs or not.

Indexed as

Acute Kidney InjuryIodineAgedCohort StudiesContrast MediaCreatinineCritical IllnessFemaleHumansKidneyMaleRetrospective StudiesRisk FactorsTomography, X-Ray ComputedContrast MediaCreatinineIodineAcute kidney injuryContrast mediaCritical careTomography, X-ray computed

Identifiers

PMID37658144
PMCPMC10873227
OpenAlexW4386386557

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.