Evidence map›Paper›PMID 39701045›Full record

ArticleCardiorenal medicine2025

Association between Arterial Stiffness, Carbamylation, and Mortality in Patients Undergoing Coronary Angiography with No or Mild Chronic Kidney Disease.

Clara Daschner, Marcus E Kleber, Ksenija Stach, Goekhan Yuecel, Faeq Husain-Syed, Niklas Ayasse, Anders H Berg, Winfried März, Bernhard K Krämer, Babak Yazdani

Abstract read
In one paragraph

Article in Cardiorenal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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

2 citing papers in PubMed.

  1. Article
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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.

Clara DaschnerFifth Department of Medicine, University Medical Center Mannheim UMM, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany.
Marcus E KleberFifth Department of Medicine, University Medical Center Mannheim UMM, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany.
Ksenija StachFifth Department of Medicine, University Medical Center Mannheim UMM, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany.
Goekhan YuecelFirst Department of Medicine, University Medical Center Mannheim UMM, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany.
Faeq Husain-SyedDepartment of Medicine II, Division of Nephrology, University Hospital Giessen and Marburg, Justus-Liebig-University Giessen, Giessen, Germany.
Niklas AyasseFifth Department of Medicine, University Medical Center Mannheim UMM, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany.
Anders H BergDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Winfried MärzFifth Department of Medicine, University Medical Center Mannheim UMM, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany.
Bernhard K KrämerFifth Department of Medicine, University Medical Center Mannheim UMM, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany.
Babak YazdaniFifth Department of Medicine, University Medical Center Mannheim UMM, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe processes of atherosclerosis, inflammation, and carbamylation are closely linked in cardiovascular (CV) disease, but the potential of carbamylation burden as a CV mortality predictor is unclear, especially in patients with no or mild chronic kidney disease (CKD). This study aimed to investigate whether elevated carbamylated albumin (C-Alb), as a surrogate marker for carbamylation burden, is associated with mortality and arterial stiffness/atherosclerotic burden in patients with no or mild CKD, using pulse pressure (PP) as a marker for arterial stiffness.

methodsWe measured C-Alb in 3,193 participants of the Ludwigshafen Risk and Cardiovascular Health study who had been referred for coronary angiography and followed up for 10 years.

resultsThe mean age was 62.7 years, and 30.4% were female. Mean blood pressure was 141/81 mm Hg, and mean C-Alb was 5.54 mmol/mol. Increase in C-Alb levels was associated with older age; female sex; increased PP, high-sensitivity C-reactive protein, and interleukin-6 levels; and increased incidence of coronary artery disease (CAD), peripheral artery disease (PAD), and carotid stenosis. In contrast, BMI, diastolic blood pressure (DBP), albumin, and the proportion of active smokers decreased with increasing C-Alb levels. In particular, C-Alb showed a highly significant correlation with CAD severity: Friesinger (Pearson correlation coefficient [r] = 0.082, p < 0.001) and Gensini score (r = 0.066, p < 0.001). The area under the curve (AUC) for all-cause mortality prediction by the European Society of Cardiology Heart Score (ESC-HS) significantly improved from 0.719 to 0.735, and the AUC for CV mortality prediction based on C-Alb increased from 0.726 to 0.750 in patients without previously known CV disease. C-Alb correlated directly and significantly with PP (r = 0.062, p < 0.001), which was consistently the strongest predictor of mortality across all C-Alb tertiles. The hazard ratios (HRs) for all-cause mortality per 10 mm Hg increase (or 1,000 mm Hg/min increase for double product [DP]) in the 1st tertile of C-Alb were 1.18, 1.13, 1.11, and 1.11 for PP, mean arterial pressure (MAP), systolic blood pressure (SBP), and DP, respectively, but the HR for DBP did not reach significance. In the 3rd tertile of C-Alb, the HRs were 1.13, 1.05, and 1.09, for PP, SBP, and DP, respectively, but the HR for MAP did not reach significance.

conclusionC-Alb may be a valuable biomarker for assessing CV risk and improving mortality prediction even in patients with no or mild CKD. The findings support the notion of a crosslink between carbamylation, inflammation, atherosclerosis, and mortality. While these results are promising, further research is needed to fully elucidate the role of C-Alb in CV disease progression and risk stratification.

Indexed as

AlbuminsBiomarkersHeart DiseasesProtein CarbamylationVascular StiffnessAgedBlood PressureCohort StudiesCoronary AngiographyFemaleHumansMaleMiddle AgedRenal Insufficiency, ChronicAlbuminsBiomarkersBlood pressureChronic kidney diseaseCyanateProtein carbamylationPulse pressureUreaUremia

Identifiers

PMID39701045
PMCPMC11844701

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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.