Evidence map›Paper›PMID 38078956›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2024

Chronic kidney disease is related to impaired left ventricular strain as assessed by cardiac magnetic resonance imaging in patients with ischemic cardiomyopathy.

Rosalia Dettori, Andrea Milzi, Richard Karl Lubberich, Kathrin Burgmaier, Sebastian Reith, Nikolaus Marx, Michael Frick, Mathias Burgmaier

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Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Rosalia Dettori *Department of Internal Medicine I, University Hospital of the RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany. rdettori@ukaachen.de.
Andrea Milzi *Department of Internal Medicine I, University Hospital of the RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
Richard Karl LubberichDepartment of Internal Medicine I, University Hospital of the RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
Kathrin BurgmaierFaculty of Applied Healthcare Science, Deggendorf Institute of Technology, Deggendorf, Germany.
Sebastian ReithDepartment of Internal Medicine III, St. Franziskus Hospital, Münster, Germany.
Nikolaus MarxDepartment of Internal Medicine I, University Hospital of the RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
Michael Frick *Department of Internal Medicine I, University Hospital of the RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
Mathias Burgmaier *Department of Internal Medicine I, University Hospital of the RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
RWTH Aachen University · DEDeggendorf Institute of Technology · DESt. Franziskus Hospital · DEUniversity Hospital Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChronic kidney disease (CKD) is an important cardiovascular risk factor. However, the relationship between CKD and myocardial strain as a parameter of myocardial function is still incompletely understood, particularly in patients with ischemic cardiomyopathy (ICM). Cardiac magnetic resonance imaging (CMR) feature tracking allows to analyze myocardial strain with high reproducibility. Therefore, the aim of the present study was to assess the relationship between CKD and myocardial strain as described by CMR in patients with ICM.

methodsWe retrospectively performed CMR-based myocardial strain analysis in 89 patients with ICM and different stages of CKD, classified according to the KDIGO stages. In all patients, global longitudinal strain (GLS), global circumferential strain (GCS) and global radial strain (GRS) analysis of left ventricular myocardium were performed. Furthermore, segmental longitudinal (SLS), circumferential (SCS) and radial strain (SRS) according to the AHA 16/17-segment model was determined.

resultsCreatinine levels (GLS: r = 0.46, p < 0.001; GCS: r = 0.34, p = 0.001; GRS: r = - 0.4, p < 0.001), urea levels (GLS: r = 0.34, p = 0.001; GCS: r = 0.30, p = 0.005; GRS: r = - 0.31, p = 0.003) as well as estimated glomerular filtration rate (GLS: r = -0.40, p < 0.001; GCS: r = - 0.27, p = 0.012; GRS r = 0.34, p < 0.001) were significantly associated with global strains as determined by CMR. To further investigate the relationship between CKD and myocardial dysfunction, segmental strain analysis was performed: SLS was progressively impaired with increasing severity of CKD (KDIGO-1: - 11.93 ± 0.34; KDIGO-5: - 7.99 ± 0.38; p < 0.001 for KDIGO-5 vs. KDIGO-1; similar data for SCS and SRS). Interestingly, myocardial strain was impaired with CKD in both segments with and without scarring. Furthermore, in a multivariable analysis, eGFR was independently associated with GLS following adjustment for LV-EF, scar burden, diabetes, hypertension, age, gender, LV mass or LV mass index.

conclusionCKD is related to impaired LV strain as assessed by CMR in patients with ICM. In our cohort, this relationship is independent of LV-EF, the extent of myocardial scarring, diabetes, hypertension, age, gender, LV mass or LV mass index.

Indexed as

Magnetic Resonance Imaging, CineMyocardial IschemiaRenal Insufficiency, ChronicVentricular Dysfunction, LeftVentricular Function, LeftAgedCardiomyopathiesFemaleHeart VentriclesHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesRisk FactorsCardiac magnetic resonance imagingChronic kidney diseaseIschemic cardiomyopathyLV strainMyocardial scar

Identifiers

PMID38078956
PMCPMC11493811
OpenAlexW4389559890

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Registered trials

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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.