ReviewJournal of cardiac failure2021
Quality of Heart Failure Care in the Intensive Care Unit.
Review in Journal of cardiac failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Joint analysis of hemoglobin-to-RDW and creatinine-to-albumin ratios for mortality prediction in critical heart failure.iScience · 2026Article
- Real-time monitoring of in-hospital mortality risk in intensive care units heart failure patients using an extreme gradient boosting model.Journal of geriatric cardiology : JGC · 2026Article
- Relationship between albumin-corrected anion gap and short- and medium-term all-cause mortality in heart failure patients with a single ICU admission.Frontiers in cardiovascular medicine · 2025Article
- Development and validation of novel interpretable survival prediction models based on drug exposures for severe heart failure during vulnerable period.Journal of translational medicine · 2024Article
- Critical Care Cardiology Trials Network (CCCTN): a cohort profile.European heart journal. Quality of care & clinical outcomes · 2022Article
- Association between comorbid cardiomyopathy and composite endpoints of patients with congestive heart failure in the intensive care unit: a retrospective cohort study.Journal of thoracic disease · 2022Article
- A machine learning-based risk stratification tool for in-hospital mortality of intensive care unit patients with heart failure.Journal of translational medicine · 2022Article
- Predictive Value of Arterial Blood Lactic Acid Concentration on the Risk of in-Hospital All-Cause Death in Patients with Acute Heart Failure.International journal of clinical practice · 2022Article
- Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Patients with heart failure (HF) who are seen in an intensive care unit (ICU) manifest the highest-risk, most complex and most resource-intensive disease states. These patients account for a large relative proportion of days spent in an ICU. The paradigms by which critical care is provided to patients with HF are being reconsidered, including consideration of various multidisciplinary ICU staffing models and the development of acute-response teams. Traditional HF quality initiatives have centered on the peri- and postdischarge period in attempts to improve adherence to guideline-directed therapies and reduce readmissions. There is a compelling rationale for expanding high-quality efforts in treating patients with HF who are receiving critical care so we can improve outcomes, reduce preventable harm, improve teamwork and resource use, and achieve high health-system performance. Our goal is to answer the following question: For a patient with HF in the ICU, what is required for the provision of high-quality care? Herein, we first review the epidemiology of HF syndromes in the ICU and identify relevant critical care and quality stakeholders in HF. We next discuss the tenets of high-quality care for patients with HF in the ICU that will optimize critical care outcomes, such as ICU staffing models and evidence-based management of cardiac and noncardiac disease. We discuss strategies to mitigate preventable harm, improve ICU culture and conduct outcomes review, and we conclude with our summative vision of high-quality of ICU care for patients with HF; our vision includes clinical excellence, teamwork and ICU culture.
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Registered trials
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.