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Peer-reviewedCC BYClinical cardiology

Right Ventricular Dysfunction and Ventriculo‐Arterial Uncoupling in Heart Failure With Preserved Ejection Fraction: A Phenotype‐Specific Review of Mechanisms, Diagnosis, and Therapeutic Strategies

2 more authors
13 affiliations
  1. 1Faculty of Medical Sciences, Lebanese University Beirut Lebanon
  2. 2Jinnah Sindh Medical University Karachi Pakistan
  3. 3Allama Iqbal Medical College Lahore Pakistan
  4. 4Foundation University Medical College Islamabad Pakistan
  5. 5Dow University of Health Sciences Karachi Pakistan
  6. 6Saidu Medical College Swat Pakistan
  7. 7Kakatiya Medical College Warangal Telangana India
  8. 8Khyber Girls Medical College Peshawar Pakistan
  9. 9Abbottabad International Medical College Abbottabad Pakistan
  10. 10Department of Molecular Medicine University of Pavia Italy
  11. 11Khyber Medical College Peshawar Pakistan
  12. 12Faculty of Medicine Medical University of Plovdiv Plovdiv Bulgaria
  13. 13Chief, Internal Medicine Department Nasrat Bashir Curative Hospital Kandahar Afghanistan

Abstract

Background: Heart failure with preserved ejection fraction (HFpEF) accounts for nearly half of all global heart failure cases. Historically viewed as a left‐centric diastolic disorder, emerging evidence identifies right ventricular (RV) dysfunction and impaired ventriculo‐arterial (RV‐PA) coupling as central drivers of exercise intolerance, functional decline, and adverse clinical outcomes.

Objectives: This review synthesizes current evidence on the pathophysiological mechanisms, advanced diagnostic modalities, prognostic implications, and phenotype‐specific therapies for RV dysfunction in HFpEF, advocating for a transition to systematic biventricular evaluation.

Methods: A structured, PRISMA‐informed search of PubMed and Scopus (2015–2024) identified 74 eligible studies evaluating RV structure, function, and hemodynamics in HFpEF cohorts.

Results: RV dysfunction is prevalent in 19% to 33% of HFpEF patients and independently predicts all‐cause mortality and heart failure hospitalizations. Key pathophysiological drivers include post‐capillary pulmonary hypertension, impaired RV lusitropy, systemic inflammation, and inter‐ventricular dependence. Non‐invasive markers notably speckle‐tracking echocardiography, 4D‐flow cardiac magnetic resonance (CMR), and the TAPSE/PASP ratio enable early identification of subclinical RV‐PA uncoupling. While traditional heart failure therapies show limited efficacy, emerging options including SGLT2 inhibitors, interatrial shunt devices, GLP‐1 receptor agonists, and targeted pulmonary vasodilators demonstrate potential to preserve RV strain and restore hemodynamics across distinct clinical phenotypes.

Conclusions: RV dysfunction is a major prognostic marker in HFpEF. Routine inclusion of RV‐PA coupling indices in diagnostic and risk‐stratification algorithms is essential to guide precision‐based, phenotype‐guided management and improve clinical trajectories.

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BibTeX
@article{chamoun2026right,
  title = {{Right Ventricular Dysfunction and Ventriculo‐Arterial Uncoupling in Heart Failure With Preserved Ejection Fraction: A Phenotype‐Specific Review of Mechanisms, Diagnosis, and Therapeutic Strategies}},
  author = {Amarelle Chamoun and Talha Farooq and Suhayya Batool and Sadia Tameez‐ud—din and Muhammad Yousaf and Preet Memon and Mohsin Ali and Arun Kumar Maloth and F. N. U. Sawaira and Muhammad Taimur Khan and Mohammad Eisa Ali and Mansoor Khalid and Maleeha Pandit and Kamil Ahmad Kamil},
  journal = {Clinical cardiology},
  year = {2026},
  month = oct,
  doi = {10.1002/clc.70489},
  url = {https://europepmc.org/article/PMC/PMC13723167},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Right Ventricular Dysfunction and Ventriculo‐Arterial Uncoupling in Heart Failure With Preserved Ejection Fraction: A Phenotype‐Specific Review of Mechanisms, Diagnosis, and Therapeutic Strategies
AU  - Amarelle Chamoun
AU  - Talha Farooq
AU  - Suhayya Batool
AU  - Sadia Tameez‐ud—din
AU  - Muhammad Yousaf
AU  - Preet Memon
AU  - Mohsin Ali
AU  - Arun Kumar Maloth
AU  - F. N. U. Sawaira
AU  - Muhammad Taimur Khan
AU  - Mohammad Eisa Ali
AU  - Mansoor Khalid
AU  - Maleeha Pandit
AU  - Kamil Ahmad Kamil
PY  - 2026
DA  - 2026/10/31
JO  - Clinical cardiology
DO  - 10.1002/clc.70489
UR  - https://europepmc.org/article/PMC/PMC13723167
AB  - Background: Heart failure with preserved ejection fraction (HFpEF) accounts for nearly half of all global heart failure cases. Historically viewed as a left‐centric diastolic disorder, emerging evidence identifies right ventricular (RV) dysfunction and impaired ventriculo‐arterial (RV‐PA) coupling as central drivers of exercise intolerance, functional decline, and adverse clinical outcomes.  Objectives: This review synthesizes current evidence on the pathophysiological mechanisms, advanced diagnostic modalities, prognostic implications, and phenotype‐specific therapies for RV dysfunction in HFpEF, advocating for a transition to systematic biventricular evaluation.  Methods: A structured, PRISMA‐informed search of PubMed and Scopus (2015–2024) identified 74 eligible studies evaluating RV structure, function, and hemodynamics in HFpEF cohorts.  Results: RV dysfunction is prevalent in 19% to 33% of HFpEF patients and independently predicts all‐cause mortality and heart failure hospitalizations. Key pathophysiological drivers include post‐capillary pulmonary hypertension, impaired RV lusitropy, systemic inflammation, and inter‐ventricular dependence. Non‐invasive markers notably speckle‐tracking echocardiography, 4D‐flow cardiac magnetic resonance (CMR), and the TAPSE/PASP ratio enable early identification of subclinical RV‐PA uncoupling. While traditional heart failure therapies show limited efficacy, emerging options including SGLT2 inhibitors, interatrial shunt devices, GLP‐1 receptor agonists, and targeted pulmonary vasodilators demonstrate potential to preserve RV strain and restore hemodynamics across distinct clinical phenotypes.  Conclusions: RV dysfunction is a major prognostic marker in HFpEF. Routine inclusion of RV‐PA coupling indices in diagnostic and risk‐stratification algorithms is essential to guide precision‐based, phenotype‐guided management and improve clinical trajectories.
SN  - 0160-9289
SN  - 1932-8737
ER  -