Evidence map›Paper›PMID 42313695›Full record

ArticleCardiorenal medicine2026

Cardiovascular-Kidney-Metabolic Multimorbidity Burden and Phenotype Differentially Influence Cardiovascular and Renal Risk in Advanced Chronic Kidney Disease.

William R Marshall, Rajkumar Chinnadurai, Darren Green, Smeeta Sinha, Philip A Kalra

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Article in Cardiorenal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

William R MarshallDivision of Cardiovascular Sciences, University of Manchester, Manchester, UK, william.marshall-6@postgrad.manchester.ac.uk.
Rajkumar ChinnaduraiDivision of Cardiovascular Sciences, University of Manchester, Manchester, UK.
Darren GreenDivision of Cardiovascular Sciences, University of Manchester, Manchester, UK.
Smeeta SinhaDivision of Cardiovascular Sciences, University of Manchester, Manchester, UK.
Philip A KalraDivision of Cardiovascular Sciences, University of Manchester, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChronic kidney disease (CKD) frequently coexists with cardiovascular disease (CVD), diabetes, and obesity through shared biological pathways encompassed within the American Heart Association cardiovascular-kidney-metabolic (CKM) construct. Whether adverse cardiovascular and renal outcomes in CKD are driven predominantly by cumulative multimorbidity burden or by distinct CKM disease phenotypes remains uncertain.

methodsWe conducted a retrospective longitudinal cohort study of participants in the Salford Kidney Study with non-dialysis-dependent CKD and at least one other CKM comorbidity. Patients were evaluated according to CKM multimorbidity burden (2, 3, or 4 conditions) and in predefined CKM phenotypes. Co-primary outcomes were major adverse cardiovascular event (MACE: cardiovascular mortality, non-fatal myocardial infarction, non-fatal cerebrovascular accident, or heart failure event), composite kidney endpoint (CKE: ≥40% eGFR decline, eGFR <15 mL/min/1.73 m2, or renal replacement therapy initiation), and all-cause mortality. Associations were evaluated using multivariable time-to-event models.

resultsAmong 2,003 participants (mean age 68 years; median follow-up 4.7 years), 279 (13.9%) experienced MACE and 1,010 (50.4%) reached the CKE. Compared with 2 CKM conditions, 4 conditions conferred an almost two-fold higher MACE risk (HR 1.93, 95% CI: 1.48-2.53), with the CKD-CVD-diabetes-obesity phenotype demonstrating the highest MACE risk. Diabetes-containing phenotypes were consistently associated with higher CKE risk, whereas increasing multimorbidity burden showed limited discriminatory value for kidney progression. The CKD-diabetes-CVD phenotype had the highest all-cause mortality (27.1 deaths per 100 patient-years).

conclusionsIncreasing CKM multimorbidity burden predicted cardiovascular events and mortality in keeping with the American Heart Association staging framework, but kidney progression was more strongly determined by disease phenotype, particularly diabetic kidney disease. This cardiovascular-renal dissociation suggests that phenotypic refinement of the CKM staging model may improve risk stratification in advanced CKD populations with CKM multimorbidity.

Indexed as

Cardiovascular DiseasesRenal Insufficiency, ChronicAgedDisease ProgressionFemaleGlomerular Filtration RateHumansLongitudinal StudiesMaleMiddle AgedMultimorbidityObesityPhenotypeRetrospective StudiesRisk FactorsUnited StatesCardiovascular-kidney-metabolic constructEstimated glomerular filtration rate slopeMajor adverse cardiovascular eventMultimorbidity

Identifiers

PMID42313695
PMCPMC13446873

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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 Socratic graph.