Evidence map›Paper›PMID 29649334›Full record

ArticlePloS one2018

Urinary cGMP predicts major adverse renal events in patients with mild renal impairment and/or diabetes mellitus before exposure to contrast medium.

Lyubov Chaykovska, Fabian Heunisch, Gina von Einem, Carl-Friedrich Hocher, Oleg Tsuprykov, Mira Pavkovic, Peter Sandner, Axel Kretschmer, Chang Chu, Saban Elitok and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
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

12 authors at 6 institutions in 3 countries.

Lyubov ChaykovskaCenter for Cardiovascular Research, Charité Universitaetsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-6250-4007
Fabian HeunischCenter for Cardiovascular Research, Charité Universitaetsmedizin Berlin, Berlin, Germany.
Gina von EinemCenter for Cardiovascular Research, Charité Universitaetsmedizin Berlin, Berlin, Germany.
Carl-Friedrich HocherCenter for Cardiovascular Research, Charité Universitaetsmedizin Berlin, Berlin, Germany.
Oleg TsuprykovInstitute for Nutritional Science, University of Potsdam, Potsdam, Germany.
Mira PavkovicBayer AG, Biomarker Research, Wuppertal, Germany.
Peter SandnerBayer AG, Biomarker Research, Wuppertal, Germany.
Axel KretschmerBayer AG, Biomarker Research, Wuppertal, Germany.
Chang ChuDepartments of Nephrology, The First Affiliated Hospital, Jinan University, Guangzhou, China.
Saban ElitokDepartment of Nephrology and Endocrinology/Diabetology, Klinikum Ernst von Bergmann, Potsdam, Germany.
Johannes-Peter StaschDepartment of Pharmacology, School of Pharmacy, Martin-Luther-University, Halle-Wittenberg, Germany.
Berthold HocherInstitute for Nutritional Science, University of Potsdam, Potsdam, Germany.
Bayer (Germany) · DECharité - Universitätsmedizin Berlin · DEUniversity of Potsdam · DEFirst Affiliated Hospital of Jinan University · CNJinan University · CNKlinikum Ernst von Bergmann · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of iodine-based contrast agents entails the risk of contrast induced nephropathy (CIN). Radiocontrast agents elicit the third most common cause of nephropathy among hospitalized patients, accounting for 11-12% of cases. CIN is connected with clinically significant consequences, including increased morbidity, prolonged hospitalization, increased risk of complications, potential need for dialysis, and increased mortality rate. The number of in-hospital examinations using iodine-based contrast media has been significantly increasing over the last decade. In order to protect patients from possible complications of such examinations, new biomarkers are needed that are able to predict a risk of contrast-induced nephropathy. Urinary and plasma cyclic guanosine monophosphate (cGMP) concentrations are influenced by renal function. Urinary cGMP is primarily of renal cellular origin. Therefore, we assessed if urinary cGMP concentration may predict major adverse renal events (MARE) after contrast media exposure during coronary angiography.

methodsUrine samples were prospectively collected from non-randomized consecutive patients with either diabetes or preexisting impaired kidney function receiving intra-arterial contrast medium (CM) for emergent or elective coronary angiography at the Charité Campus Mitte, University Hospital Berlin. Urinary cGMP concentration in spot urine was analyzed 24 hours after CM exposure. Patients were followed up over 90 days for occurrence of death, initiation of dialysis, doubling of plasma creatinine concentration or MARE.

resultsIn total, 289 consecutive patients were included into the study. Urine cGMP/creatinine ratio 24 hours before CM exposure expressed as mean±SD was predictive for the need of dialysis (no dialysis: 89.77±92.85 μM/mM, n = 277; need for dialysis: 140.3±82.90 μM/mM, n = 12, p = 0.008), death (no death during follow-up: 90.60±92.50 μM/mM, n = 280; death during follow-up: 169.88±81.52 μM/mM, n = 9; p = 0.002), and the composite endpoint MARE (no MARE: 86.02±93.17 μM/mM, n = 271; MARE: 146.64±74.68 μM/mM, n = 18, p<0.001) during the follow-up of 90 days after contrast media application. cGMP/creatinine ratio stayed significantly increased at values exceeding 120 μM/mM in patients who developed MARE, required dialysis or died.

conclusionsUrinary cGMP/creatinine ratio ≥ 120 μM/mM before CM exposure is a promising biomarker for the need of dialysis and all-cause mortality 90 days after CM exposure in patients with preexisting renal impairment or diabetes.

Indexed as

AgedBiomarkersCohort StudiesContrast MediaCreatinineCyclic GMPDiabetic NephropathiesFemaleGlomerular Filtration RateHumansKidney DiseasesKidney Function TestsMaleMiddle AgedPrognosisROC CurveBiomarkersContrast MediaCreatinineCyclic GMP

Identifiers

PMID29649334
PMCPMC5896998
OpenAlexW2798123388

What OpenQuestion holds

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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.