What is the clinical evidence from this study?

Study design: Review. Population: Heart failure. Intervention: Multimodality right-heart monitoring framework.

What does this research mean for the field?

A multimodality, therapy-agnostic trajectory framework integrating clinical status, biomarkers, and imaging provides a structured approach for serial right-heart assessment across the heart failure spectrum. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To establish a pragmatic, multimodality monitoring framework that tracks longitudinal right-heart trajectories rather than static snapshots across the spectrum of heart failure.

September 10, 2026American Heart Journal Plus Cardiology Research and PracticeOpen Access

From snapshot to trajectory: A multimodality right-heart monitoring framework across the heart failure spectrum

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Why the study?

Right-heart metrics critically determine symptoms and outcomes across heart failure, yet longitudinal follow-up remains predominantly left ventricle-centered.

Design

Narrative review

Key result

A proposed multimodality right-heart monitoring framework integrates clinical status, biomarkers, and imaging to guide serial assessment across the heart failure spectrum.

Authors

AAArif Albulushi MHMohammed Al Habsi AAAmira Al-Kharusi

Discussion

Member takes

Overview

May guide serial right-heart monitoring in HF; leaves open prospective validation before practice change.

Key Points

To establish a pragmatic, multimodality monitoring framework that tracks longitudinal right-heart trajectories rather than static snapshots across the spectrum of heart failure.
Synthesized physiological principles and multimodality imaging tools, integrating echocardiography, cardiac magnetic resonance, circulating biomarkers, and selective invasive hemodynamics.
Assessed longitudinal right-heart dynamics across preserved, mildly reduced, and reduced ejection fraction phenotypes, using SGLT2 inhibitors as an illustrative mechanistic model.
Established a therapy-agnostic framework that differentiates right ventricular dysfunction from overt right-heart failure by integrating loading conditions, rhythm, and tricuspid regurgitation phenotypes.
Showed that tracking longitudinal direction of change across multimodality metrics yields more actionable prognostic information than single snapshot values.
Identified emerging evidence of favorable hemodynamic effects and right ventricular–pulmonary arterial coupling associated with SGLT2 inhibition in selected populations.

Structured PICO

Population

Patients across the heart failure spectrum (HFrEF, HFmrEF, and HFpEF)

Exposure

Multimodality right-heart monitoring framework integrating clinical status, biomarkers, echocardiography, cardiac magnetic resonance, and selective invasive hemodynamics

Proposes a multimodality framework for longitudinal right-heart assessment across the heart failure spectrum to complement conventional left ventricle-centered monitoring.

Limitations

Dedicated RV-focused randomized evidence remains limited.
Suggested reassessment windows are illustrative rather than validated and should be individualized.
Suggested reassessment windows are illustrative rather than validated
Dedicated RV-focused randomized evidence remains limited

Cite This Study

Albulushi et al. (2026) conducted a review in Heart failure. Multimodality right-heart monitoring framework was evaluated. A proposed multimodality right-heart monitoring framework integrates clinical status, biomarkers, and imaging to guide serial assessment across the heart failure spectrum.

synapsesocial.com/papers/6aa27a5658559d80afc72e8b https://doi.org/10.1016/j.ahjo.2026.100881

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September 10, 2026American Heart Journal Plus Cardiology Research and PracticeOpen Access

From snapshot to trajectory: A multimodality right-heart monitoring framework across the heart failure spectrum

View Full Paper

Ask AI

Bookmark

Why the study?

Right-heart metrics critically determine symptoms and outcomes across heart failure, yet longitudinal follow-up remains predominantly left ventricle-centered.

Design

Narrative review

Key result

A proposed multimodality right-heart monitoring framework integrates clinical status, biomarkers, and imaging to guide serial assessment across the heart failure spectrum.

Authors

AAArif Albulushi MHMohammed Al Habsi AAAmira Al-Kharusi

Discussion

Member takes

Overview

May guide serial right-heart monitoring in HF; leaves open prospective validation before practice change.

Key Points

To establish a pragmatic, multimodality monitoring framework that tracks longitudinal right-heart trajectories rather than static snapshots across the spectrum of heart failure.
Synthesized physiological principles and multimodality imaging tools, integrating echocardiography, cardiac magnetic resonance, circulating biomarkers, and selective invasive hemodynamics.
Assessed longitudinal right-heart dynamics across preserved, mildly reduced, and reduced ejection fraction phenotypes, using SGLT2 inhibitors as an illustrative mechanistic model.
Established a therapy-agnostic framework that differentiates right ventricular dysfunction from overt right-heart failure by integrating loading conditions, rhythm, and tricuspid regurgitation phenotypes.
Showed that tracking longitudinal direction of change across multimodality metrics yields more actionable prognostic information than single snapshot values.
Identified emerging evidence of favorable hemodynamic effects and right ventricular–pulmonary arterial coupling associated with SGLT2 inhibition in selected populations.

Structured PICO

Population

Patients across the heart failure spectrum (HFrEF, HFmrEF, and HFpEF)

Exposure

Multimodality right-heart monitoring framework integrating clinical status, biomarkers, echocardiography, cardiac magnetic resonance, and selective invasive hemodynamics

Proposes a multimodality framework for longitudinal right-heart assessment across the heart failure spectrum to complement conventional left ventricle-centered monitoring.

Limitations

Dedicated RV-focused randomized evidence remains limited.
Suggested reassessment windows are illustrative rather than validated and should be individualized.
Suggested reassessment windows are illustrative rather than validated
Dedicated RV-focused randomized evidence remains limited

Cite This Study

synapsesocial.com/papers/6aa27a5658559d80afc72e8b https://doi.org/10.1016/j.ahjo.2026.100881

Also Consider

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