Observational studyJACC. Heart failure2015
Identification of Emergency Department Patients With Acute Heart Failure at Low Risk for 30-Day Adverse Events: The STRATIFY Decision Tool.
Observational study in JACC. Heart failure, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00508638 (Improving Heart Failure Risk Stratification in the ED), which is not on this map. Cited by 48 papers, 2 of them syntheses that pooled it.
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.
Improving Heart Failure Risk Stratification in the ED
Who cites it
48 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Data standards for heart failure: the European Unified Registries for Heart Care Evaluation and Randomized Trials (EuroHeart).European heart journal · 2022Pooled it
- Risk stratification scores for patients with acute heart failure in the Emergency Department: A systematic review.European heart journal. Acute cardiovascular care · 2020Pooled it
- Point-of-care echocardiography of the right heart improves acute heart failure risk stratification for low-risk patients: The REED-AHF prospective study.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2022Trial
- Observational
- Galectin-1 Is a Marker but Not a Mediator of Heart Failure With Preserved Ejection Fraction.Hypertension (Dallas, Tex. : 1979) · 2026Article
- Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Temporal Prognostic Factors in Elderly Patients with Acute Heart Failure: A Cohort Study from a Spanish Emergency Department.Geriatrics (Basel, Switzerland) · 2026Article
- Acute biological age as a determinant of adverse outcomes requiring hospitalization in Danish emergency department patients.Communications medicine · 2026Article
- Article
- Study protocol for the design, implementation, and evaluation of the STRATIFY clinical decision support tool for emergency department disposition of patients with heart failure.Implementation science communications · 2025Article
- Article
- Prognostic Models in Heart Failure: Hope or Hype?Journal of personalized medicine · 2025Review
- "I worry we'll blow right by it:" Barriers to Uptake of the STRATIFY-CDS for Acute Heart Failure.Applied clinical informatics · 2025Article
- Addressing the implementation challenge of risk prediction model due to missing risk factors: The submodel approximation approach.Statistics in medicine · 2024Article
- The HEARTRISK6 Scale: Predicting Short-Term Serious Outcomes in Emergency Department Acute Heart Failure Patients.JACC. Advances · 2024Article
- Blood pressure and heart failure: focused on treatment.Clinical hypertension · 2024Review
- Acute Heart Failure: From The Emergency Department to the Intensive Care Unit.Cardiology clinics · 2024Review
- Clinical Review of Hypertensive Acute Heart Failure.Medicina (Kaunas, Lithuania) · 2024Review
- The significance of historical troponin elevation in acute heart failure: Not as reassuring as previously assumed.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2023Article
- Physicians' Perceptions of Clinical Decision Support to Treat Patients With Heart Failure in the ED.JAMA network open · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
objectivesNo prospectively derived or validated decision tools identify emergency department (ED) patients with acute heart failure (AHF) at low risk for 30-day adverse events who are thus potential candidates for safe ED discharge. This study sought to accomplish that goal.
backgroundThe nearly 1 million annual ED visits for AHF are associated with high proportions of admissions and consume significant resources.
methodsWe prospectively enrolled 1,033 patients diagnosed with AHF in the ED from 4 hospitals between July 20, 2007, and February 4, 2011. We used an ordinal outcome hierarchy, defined as the incidence of the most severe adverse event within 30 days of ED evaluation (acute coronary syndrome, coronary revascularization, emergent dialysis, intubation, mechanical cardiac support, cardiopulmonary resuscitation, and death).
resultsOf 1,033 patients enrolled, 126 (12%) experienced at least one 30-day adverse event. The decision tool had a C statistic of 0.68 (95% confidence interval: 0.63 to 0.74). Elevated troponin (p < 0.001) and renal function (p = 0.01) were significant predictors of adverse events in our multivariable model, whereas B-type natriuretic peptide (p = 0.09), tachypnea (p = 0.09), and patients undergoing dialysis (p = 0.07) trended toward significance. At risk thresholds of 1%, 3%, and 5%, we found 0%, 1.4%, and 13.0% patients were at low risk, with negative predictive values of 100%, 96%, and 93%, respectively.
conclusionsThe STRATIFY decision tool identifies ED patients with AHF who are at low risk for 30-day adverse events and may be candidates for safe ED discharge. After external testing, and perhaps when used as part of a shared decision-making strategy, it may significantly affect disposition strategies. (Improving Heart Failure Risk Stratification in the ED [STRATIFY]; NCT00508638).
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