ArticleFrontiers in cardiovascular medicine2022
Right Ventricular Dysfunction Predicts Outcome in Acute Heart Failure.
Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.
- Ventriculo-arterial coupling in acute heart failure: prognostic and therapeutic insights - a systematic review and meta-analysis of multivariable-adjusted data.Heart failure reviews · 2026Pooled it
- The prognostic value of right ventricular longitudinal strain in heart failure: a systematic review and meta-analysis.Heart failure reviews · 2023Pooled it
- Clinical characteristics and prognostic differences among acute heart failure phenotypes in the emergency department: a real-world study.BMC emergency medicine · 2026Observational
- Congestion-Perfusion Phenotypes and In-Hospital Mortality in Acute Heart Failure: Phenotype-Specific Prognostic Markers and Right-Heart Involvement.Medicina (Kaunas, Lithuania) · 2026Observational
- Clinical value of ultrasound combined with diaphragmatic excursion assessment in evaluating right ventricular dysfunction in sepsis patients.International journal of emergency medicine · 2026Article
- Echocardiographic Assessment of Right Ventricular-Pulmonary Arterial Coupling in Heart Failure: Prognostic Insights from a Systematic Review.Journal of clinical medicine · 2026Review
- A Contemporary Perspective on Acute Decompensated Heart Failure Classification: A State-of-the-art Review from an International Expert Group.Cardiac failure review · 2026Review
- Supervised machine learning including environmental factors to predict in-hospital outcomes in acute heart failure patients.European heart journal. Digital health · 2025Article
- Machine learning score to predict in-hospital outcomes in patients hospitalized in cardiac intensive care unit.European heart journal. Digital health · 2025Article
- Construction of Clinical Predictive Models for Heart Failure Detection Using Six Different Machine Learning Algorithms: Identification of Key Clinical Prognostic Features.International journal of general medicine · 2024Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: The severity of cardiac impairment in acute heart failure (AHF) predicts outcome, but challenges remain to identify prognostically important non-invasive parameters of cardiac function. Left ventricular ejection fraction (LVEF) is relevant, but only in those with reduced LV systolic function. We aimed to assess the standard and advanced parameters of left and right ventricular (RV) function from echocardiography in predicting long-term outcomes in AHF. Methods: A total of 418 consecutive AHF patients presenting over 12 months were prospectively recruited and underwent bedside echocardiography within 24 h of recruitment. We retrospectively assessed 8 RV and 5 LV echo parameters of the cardiac systolic function to predict 2-year mortality, using both guideline-directed and study-specific cutoffs, based on the maximum Youden indices Results: A total of 7/8 parameters of RV systolic function were predictive of 2-year outcome, with study cutoffs like international guidelines. A cutoff of < -1.8 s Conclusion: With cutoffs broadly like the ESC guidelines, we identified RV dysfunction to be associated with adverse prognosis, whereas LVEF could not identify patients at risk.
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