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The complexity of the cardio–renal link: taxonomy, syndromes, and diseases

Authors: Zoccali, Carmine; Goldsmith, David; Agarwal, Rajiv; Blankestijn, Peter J.; Fliser, Danilo; Wiecek, Andrzej; Suleymanlar, Gultekin; +8 Authors

The complexity of the cardio–renal link: taxonomy, syndromes, and diseases

Abstract

Bidirectional mechanisms exist that link diseases affecting the heart and kidney. This link is complex and remains poorly understood; therefore, charting the shared territory of cardiovascular (CV) and renal medicine poses major problems. Until now, no convincing rationale for delineating new syndromes existed. The multiple connections of the arterial system and the heart and kidney with other systems, from energy and protein balance to the musculoskeletal, clearly require special focus and rigorous framing. Nephrologists have yet to fully understand why the application of dialysis has had only limited success in halting the parallel burdens of CV and non-CV death in patients with end-stage renal disease. Cardiologists, intensivists, and nephrologists alike should settle whether and when extracorporeal ultrafiltration benefits patients with decompensated heart failure. These sparse but interconnected themes spanning from the basic science-clinical transition phase to clinical science, epidemiology, and medical technology already form the basis for the young discipline of 'CV and renal medicine'.

Countries
United Kingdom, Netherlands
Keywords

cardiovascular risk, progression of CKD, cardio-renal, death, Mini Review, CKD, 610, ESRD

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 10%
Top 10%
Green
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