Evidence map›Paper›PMID 41940095›Full record

ArticleFrontiers in cardiovascular medicine2026

Predictors of patient-perceived functional improvement after cardiac resynchronization therapy: a real-world multi-dimensional analysis of clinical, imaging, and ECG predictors.

Ahmad Samir, Amr Yosry Emam, Rehab Elnagar, Shaimaa Nabil, Mahmoud Abdelfattah, Nevine Abdelmegeed, Eslam Ahmed, Omnia Kamel, Karimeldeen Hafez

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Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ahmad SamirCardiac Center Hail, Hail, Saudi Arabia.
Amr Yosry EmamMagdi Yacoub Heart Foundation, Cairo, Egypt.
Rehab ElnagarMagdi Yacoub Heart Foundation, Cairo, Egypt.
Shaimaa NabilMagdi Yacoub Heart Foundation, Cairo, Egypt.
Mahmoud AbdelfattahMagdi Yacoub Heart Foundation, Cairo, Egypt.
Nevine AbdelmegeedMagdi Yacoub Heart Foundation, Cairo, Egypt.
Eslam AhmedMagdi Yacoub Heart Foundation, Cairo, Egypt.
Omnia KamelMagdi Yacoub Heart Foundation, Cairo, Egypt.
Karimeldeen HafezMagdi Yacoub Heart Foundation, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Up to one-third of appropriately selected patients undergoing cardiac resynchronization therapy (CRT) fail to achieve meaningful clinical benefit despite fulfilling guidelines' criteria. Traditional CRT response definitions [left ventricular (LV) end-systolic volume (ESV), ejection fraction (EF), and QRS duration] frequently diverge and occasionally fail to reflect patient-perceived clinical improvement. Objective: To identify predictors for patient-perceived functional improvement after CRT, incorporating various clinical, biochemical, electrocardiographic (ECG), and imaging variables. Functional improvement was defined as the changes in New York Heart Association (NYHA) functional class 6-9 months after CRT implantation. Methods: This retrospective single-center study included 97 heart failure (HF) patients meeting guideline-based CRT indications. Patients were categorized according to ≥1 NYHA class improvement at 6-9 months. Baseline and follow-up clinical, biochemical, ECG, echocardiographic, and cardiac magnetic resonance (CMR) parameters were compared between groups. Predictors of functional improvement were assessed using univariate and multivariate logistic regression. Results: Sixty-eight patients (70%) achieved ≥1 NYHA class improvement. At baseline, the non-improved group was characterized by higher NT-proBNP and creatinine levels, longer PR and shorter QTc intervals, and worse LV and RV global longitudinal strain (GLS) on CMR. At follow-up, NT-proBNP remained elevated in the non-improved group. Traditional CRT response criteria were more frequently met in the improved compared to the non-improved group (>15% LV ESV reduction: 94.7% vs. 5.3%, >10% LV EF improvement: 98.1% vs. 1.9%, and >20 ms QRS shortening: 86.2% vs. 13.8%); but none independently predicted functional improvement in multivariate analysis. Independent predictors for ≥1 NYHA class improvement included baseline renal function (OR 1.19, 95% CI 1.00-1.39, Conclusion: Functional improvement after CRT is best predicted by multi-dimensional assessment incorporating clinical, biochemical, and imaging parameters. In addition to the traditional response definitions, renal function, LV GLS, and LV diastolic indices were independently associated with a better patient-perceived functional improvement after CRT. Incorporating these factors into CRT eligibility and prognostication may enhance patient selection and improve outcomes.

Indexed as

cardiac magnetic resonance CMRCardiac resynchronization therapy CRTFunctional improvementGlobal longitudinal strain GLSHeart failure with reduced ejection fraction HFrEFNYHA functional class

Identifiers

PMID41940095
PMCPMC13044057

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.