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Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Cardiovascular-Kidney-Metabolic Multimorbidity Burden and Phenotype Differentially Influence Cardiovascular and Renal
William R Marshall1,2, Rajkumar Chinnadurai3,4, Darren Green3,4
1Division of Cardiovascular Sciences, University of Manchester, Manchester, UK, william.marshall-6@postgrad.manchester.ac.uk.
Insights
Increasing cardiovascular-kidney-metabolic (CKM) conditions predict cardiovascular events and mortality in chronic kidney disease (CKD) patients. However, kidney disease progression is more linked to specific phenotypes, especially diabetic kidney disease.
Area of Science:
- Nephrology
- Cardiology
- Metabolic Diseases
Background:
- Chronic kidney disease (CKD) often coexists with cardiovascular disease (CVD), diabetes, and obesity, linked by shared pathways within the American Heart Association's cardiovascular-kidney-metabolic (CKM) construct.
- It remains unclear if adverse outcomes in CKD stem from overall multimorbidity or distinct CKM phenotypes.
Purpose of the Study:
- To investigate whether cumulative multimorbidity burden or specific CKM disease phenotypes are the primary drivers of adverse cardiovascular and renal outcomes in patients with non-dialysis-dependent CKD.
Main Methods:
- Retrospective longitudinal cohort study of 2,003 patients with non-dialysis-dependent CKD and at least one other CKM comorbidity.
- Patients were categorized by CKM multimorbidity burden (2, 3, or 4 conditions) and predefined CKM phenotypes.
- Outcomes included major adverse cardiovascular events (MACE), composite kidney endpoint (CKE), and all-cause mortality, analyzed using multivariable time-to-event models.
Main Results:
- Higher CKM multimorbidity burden (4 conditions vs. 2) significantly increased MACE risk (HR 1.93).
- The CKD-CVD-diabetes-obesity phenotype showed the highest MACE risk.
- Diabetes-containing phenotypes were linked to higher CKE risk, while multimorbidity burden had limited predictive value for kidney progression.
- The CKD-diabetes-CVD phenotype exhibited the highest all-cause mortality.
Conclusions:
- Increasing CKM multimorbidity burden predicts cardiovascular events and mortality, aligning with the AHA staging framework.
- Kidney progression is more strongly associated with specific disease phenotypes, particularly diabetic kidney disease.
- This cardiovascular-renal dissociation suggests refining CKM staging by phenotype could improve risk stratification in advanced CKD.
Introduction:
Chronic 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.
Methods:
We 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.
Results:
Among 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).
Conclusions:
Increasing 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.
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