Rehabilitation for Cardiorenal Multimorbidity: Epidemiology, Functional Phenotypes, and Effects on Physical Function, Renal Trajectory, and Prognosis
Abstract
1. Introduction
Scope and Methodological Boundaries (Focused Narrative Review)
2. Epidemiology and Clinical Relevance of Cardiorenal Overlap
3. Effects of Rehabilitation on Physical Function in Cardiorenal Populations
3.1. Evidence from CR
3.2. Evidence from Renal Rehabilitation
4. CR and Renal Outcomes
4.1. Center-Based CR and Renal Trajectory
4.2. Management of Habitual Physical Activity and Renal Trajectory in Cardiovascular Patients
5. Significance of Cystatin C Assessment When Evaluating Renal Endpoints
6. Mechanistic Pathways and Translational Evidence for CR-Mediated Renal Protection
7. Prognostic Implications
8. Evidence Gaps and Future Directions
9. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| ACR | Albumin-to-creatinine ratio |
| AHA | American Heart Association |
| AMI | Acute myocardial infarction |
| AT | Anaerobic threshold |
| BNP | B-type natriuretic peptide |
| CKD | Chronic kidney disease |
| CKM | Cardiovascular–kidney–metabolic |
| CR | Cardiac rehabilitation |
| Cr | Creatinine |
| CRS | Cardiorenal syndrome |
| CVD | Cardiovascular disease |
| eGFR | Estimated glomerular filtration rate |
| eGFRcreat | Creatinine-based estimated glomerular filtration rate |
| eGFRcys | Cystatin C-based estimated glomerular filtration rate |
| eNOS | Endothelial nitric oxide synthase |
| FGF23 | Fibroblast growth factor 23 |
| Hct | Hematocrit |
| HDL-C | High-density lipoprotein cholesterol |
| JMDRD | Japanese Modification of Diet in Renal Disease equation |
| K | Potassium |
| KDIGO | Kidney Disease: Improving Global Outcomes |
| LVEF | Left ventricular ejection fraction |
| NO | Nitric oxide |
| nNOS | Neuronal nitric oxide synthase |
| Peak VO2 | Peak oxygen uptake |
| RAAS | Renin–angiotensin–aldosterone system |
| RCT | Randomized controlled trial |
| UN | Urea nitrogen |
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| Domain | CRS | CKM Framework |
|---|---|---|
| Concept | Pathophysiologic syndrome describing bidirectional heart–kidney interactions | Population health framework integrating cardiovascular, kidney, and metabolic disease across a risk continuum |
| Primary focus | Heart–kidney cross-talk and acute or chronic organ dysfunction | Integrated cardiometabolic and kidney risk continuum with prevention-oriented staging |
| Disease scope | Primarily heart and kidney dysfunction | Cardiovascular disease, CKD, obesity, diabetes, and metabolic risk factors |
| Classification | Five subtypes based on primary organ involvement and time course (CRS Types 1–5) | Staged continuum from risk to clinical disease (Stages 0–4) |
| Pathophysiological emphasis | Hemodynamics, congestion, neurohormonal activation (RAAS/SNS), and inflammation | Excess or dysfunctional adiposity, insulin resistance, metabolic dysregulation, systemic inflammation, and multisystem interactions |
| Clinical context | Often applied in acute or advanced settings (e.g., acute HF with AKI; advanced CKD–CVD interplay) | Designed for prevention, early risk identification, and long-term management across the life course |
| Clinical goal | Guide understanding and management of cardiorenal dysfunction | Coordinate prevention and treatment strategies across cardiovascular, renal, and metabolic health |
| Relevance to rehabilitation | Mechanistic rationale for exercise effects on hemodynamics, endothelial, and neurohormonal pathways | Emphasizes lifestyle interventions (physical activity and rehabilitation) across stages, supporting earlier and broader implementation |
| Study (Year) | Population (Participants) | Design/Setting | Intervention/Exposure | Duration/Follow-Up | Renal Markers and Other Outcomes | Main Renal Finding(s) |
|---|---|---|---|---|---|---|
| Toyama et al. [42] | CVD + CKD (n = 19; exercise n = 10 vs. non-exercise n = 9) | Non-RCT; comparative (CR vs. non-CR) | CR vs. non-CR | 12 weeks | eGFR (creatinine-based); lipids; AT-O2 | CR: eGFR improved; ΔeGFR correlated positively with ΔAT-O2 and ΔHDL-C and negatively with Δtriglycerides. |
| Takaya et al. [43] | AMI (total n = 528; CKD subgroup n = 180) | Non-RCT; pre–post within CR participants; attendance stratification | 3-month CR; CKD attendance: non-active (≤1/wk) vs. active (≥1.1/wk) | 3 months | eGFR (creatinine-based); peak O2; BNP | CKD subgroup: eGFR improved 48 ± 12 → 53 ± 15 (p < 0.001); active CKD improved 50 ± 10 → 53 ± 13; non-active no change; non-CKD no change. |
| Kimura et al. [44] | Male CVD patients without macroalbuminuria (n = 98); CR n = 23 vs. non-CR n = 75 | Non-RCT; retrospective observational | CR (1–3/wk + home exercise) vs. non-CR | 6 months | Urinary ACR; eGFR | CR: ACR decreased 43 ± 71 → 17 ± 20 mg/g (p < 0.05); eGFR unchanged. Non-CR: eGFR decreased 72 ± 18 → 67 ± 17 (p < 0.001). |
| Iso et al. [45] | CR participants; n = 67 (non-CKD n = 34; mild CKD n = 14; mod–severe CKD n = 19) | Non-RCT; retrospective | CR: supervised aerobic 1–2 × /wk + daily home walking | 5 months (plus renal re-evaluation 3 months post program) | eGFR (JMDRD; creatinine-based) | Mod–severe CKD group: eGFR 40.8 ± 7.4 → 43.2 ± 12.6 (not significant); age inversely associated with eGFR change; <70 y showed significant eGFR increase. |
| Fujimi et al. [46] | CVD; n = 49 (CR group n = 23 vs. non-CR n = 26) | Non-RCT; comparative (CR vs. Non-CR) | 1-year CR program vs. non-CR | 1 year | eGFR (creatinine-based); UN/Cr/K/Hct | Overall: no significant changes in eGFR in either group; in the CR group, low baseline eGFR subgroup (<51) showed significant eGFR increase after 1 year. |
| Hama et al. [47] | CVD with CKD; n = 86 | Non-RCT; single-arm | 3-month CR program | 3 months | eGFRcys (primary); eGFRcreat | eGFRcys improved 45.2 ± 11 → 47.3 ± 13 (p = 0.023); eGFRcreat unchanged. |
| Kitajima et al. [48] | Elderly CVD outpatients >65 y; n = 88 | Non-RCT; longitudinal cohort | Long-term outpatient CR follow-up | Up to 5 years | eGFR (creatinine-based); AT; LVEF; BNP | eGFR, AT, LVEF, and BNP were maintained over 5 years; no significant change vs. baseline reported. |
| Sasamoto et al. [49] | CVD; n = 136 (≥75 y subgroup n = 55) | Non-RCT; prospective intervention (CR vs. non-CR) | CR and physical activity promotion | 3 months | eGFRcys | ΔeGFRcys: non-CR −2.27 vs. CR +0.48 mL/min/1.73 m2 (p = 0.022); ≥75 y: −3.83 vs. −1.08 (p = 0.039). |
| Hama et al. [50] | CVD with CKD (15 ≤ eGFRcys < 60); n = 203 (G3a n = 122; G3b n = 60; G4 n = 21) | Non-RCT; retrospective cohort | CR program (pre vs. post) with baseline-stage stratification | 3 months | eGFRcys | eGFRcys improvement: +1.3 (G3a), +3.1 (G3b), +4.8 (G4) mL/min/1.73 m2; lower baseline eGFRcys associated with greater %ΔeGFRcys. |
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Sato, T.; Kohzuki, M. Rehabilitation for Cardiorenal Multimorbidity: Epidemiology, Functional Phenotypes, and Effects on Physical Function, Renal Trajectory, and Prognosis. J. Clin. Med. 2026, 15, 2504. https://doi.org/10.3390/jcm15072504
Sato T, Kohzuki M. Rehabilitation for Cardiorenal Multimorbidity: Epidemiology, Functional Phenotypes, and Effects on Physical Function, Renal Trajectory, and Prognosis. Journal of Clinical Medicine. 2026; 15(7):2504. https://doi.org/10.3390/jcm15072504
Chicago/Turabian StyleSato, Toshimi, and Masahiro Kohzuki. 2026. "Rehabilitation for Cardiorenal Multimorbidity: Epidemiology, Functional Phenotypes, and Effects on Physical Function, Renal Trajectory, and Prognosis" Journal of Clinical Medicine 15, no. 7: 2504. https://doi.org/10.3390/jcm15072504
APA StyleSato, T., & Kohzuki, M. (2026). Rehabilitation for Cardiorenal Multimorbidity: Epidemiology, Functional Phenotypes, and Effects on Physical Function, Renal Trajectory, and Prognosis. Journal of Clinical Medicine, 15(7), 2504. https://doi.org/10.3390/jcm15072504

