# Cardiorenal and Metabolic Convergence in Acute Heart Failure: Severe Cardiorenometabolic Syndrome as a High-Risk Phenotype

**Authors:** Raquel López-Vilella, Borja Guerrero Cervera, Julia Martínez Solé, Sara Huélamo Montoro, Víctor Donoso Trenado, Mireia Company Langa, Valero Soriano Alfonso, Luis Martínez Dolz, Luis Almenar-Bonet

PMC · DOI: 10.3390/biomedicines14020467 · Biomedicines · 2026-02-20

## TL;DR

This study shows that a combination of severe heart failure, kidney disease, and metabolic issues marks a high-risk group with worse outcomes after hospitalization.

## Contribution

The study introduces severe cardiorenometabolic syndrome (sCRMS) as a novel, high-risk phenotype in acute heart failure with strong prognostic value.

## Key findings

- sCRMS patients had significantly higher mortality, readmission rates, and composite endpoint risks compared to non-sCRMS patients.
- sCRMS remained an independent predictor of adverse outcomes in multivariable analysis.
- sCRMS identifies a vulnerable patient group needing integrated cardiorenometabolic care post-discharge.

## Abstract

Background: Cardiorenometabolic syndrome (CRMS) reflects the interaction between heart failure (HF), chronic kidney disease, and metabolic disorders. Its prognostic impact during the acute phase of HF remains poorly defined. The primary objective of this study was to assess whether severe CRMS (sCRMS: estimated glomerular filtration rate <45 mL/min/1.73 m2 associated with type 2 diabetes mellitus and/or obesity) predicts worse clinical outcomes. Methods: This was a retrospective observational study of a prospective cohort including 2228 patients admitted for acute HF between 2015 and 2025. Clinical characteristics and outcomes (mortality, HF readmission, and the composite endpoint) were compared between patients with and without sCRMS. Results: sCRMS was present in 486 patients (21.8%) who were older, had worse functional class, and a higher burden of cardiovascular comorbidities. They presented more frequently with systemic congestion and less often with de novo HF. During follow-up, sCRMS was associated with higher mortality (29.4% vs. 18.4%), HF readmissions (56.2% vs. 33.5%), and the composite endpoint (85.6% vs. 51.9%) (all p < 0.001). In multivariable analysis, sCRMS remained an independent predictor of mortality (HR 1.25), readmissions (HR 1.24), and overall morbidity and mortality (HR 1.20). Conclusions: In patients hospitalized for acute HF, sCRMS consistently identified a clinically vulnerable phenotype with an unfavorable prognosis. These findings support the value of sCRMS as a simple and reproducible prognostic marker and highlight the need for integrated cardiorenometabolic strategies during post-discharge follow-up.

## Linked entities

- **Diseases:** heart failure (MONDO:0005252), chronic kidney disease (MONDO:0005300), type 2 diabetes mellitus (MONDO:0005148), obesity (MONDO:0011122)

## Full-text entities

- **Genes:** SLC17A5 (solute carrier family 17 member 5) [NCBI Gene 26503] {aka AST, ISSD, NSD, SD, SIALIN, SIASD}, TF (transferrin) [NCBI Gene 7018] {aka HEL-S-71p, PRO1557, PRO2086, TFQTL1}, SLC5A2 (solute carrier family 5 member 2) [NCBI Gene 6524] {aka SGLT2}, MUC16 (mucin 16, cell surface associated) [NCBI Gene 94025] {aka CA125}, GPT (glutamic--pyruvic transaminase) [NCBI Gene 2875] {aka AAT1, ALT, ALT1, GPT1, SGPT}, GLP1R (glucagon like peptide 1 receptor) [NCBI Gene 2740] {aka GLP-1, GLP-1-R, GLP-1R}, CST3 (cystatin C) [NCBI Gene 1471] {aka ADLDWA, ARMD11, HEL-S-2}
- **Diseases:** HF (MESH:D006333), adiposity (MESH:D018205), Cardiovascular-Kidney-Metabolic (CKM) syndrome (MESH:D007674), type 2 diabetes mellitus (MESH:D003924), cardiac dysfunction (MESH:D006331), hypokalemia (MESH:D007008), sCRMS (MESH:D045169), anemia (MESH:D000740), Acute cardiorenal syndrome (MESH:D059347), Pulmonary and systemic congestion (MESH:D001261), atherosclerotic (MESH:D050197), HT (MESH:D006973), death (MESH:D003643), atrial fibrillation (MESH:D001281), ischemic heart disease (MESH:D017202), right ventricular dysfunction (MESH:D018497), congestion (MESH:D002311), cardiovascular (MESH:D002318), multiorgan dysfunction (MESH:D009102), Obesity (MESH:D009765), acute kidney injury (MESH:D058186), venous hypertension (MESH:D014647), venous congestion (MESH:D006940), COPD (MESH:D029424), myocardial injury (MESH:D009202), metabolic (MESH:D008659), CRS type 1 (MESH:D003398), cardiovascular, metabolic, and renal comorbidities (MESH:D024821), injury to (MESH:D014947), inflammatory (MESH:D007249), CRMS (MESH:D013577), Diabetes mellitus (MESH:D003920), ischemic (MESH:D002545), inspiratory collapse of the inferior vena cava (MESH:C563013), CKD (MESH:D051436)
- **Chemicals:** creatinine (MESH:D003404), ARNIs (-), potassium (MESH:D011188), urea (MESH:D014508), allopurinol (MESH:D000493), nitrates (MESH:D009566), uric acid (MESH:D014527)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12938447/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/PMC12938447/full.md

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Source: https://tomesphere.com/paper/PMC12938447