Evidence map›Paper›PMID 26449993›Full record

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.

Sean P Collins, Cathy A Jenkins, Frank E Harrell, Dandan Liu, Karen F Miller, Christopher J Lindsell, Allen J Naftilan, John A McPherson, David J Maron, Douglas B Sawyer and 5 more

Registry-linked trialAbstract readComparative StudyObservational Study
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT00508638 completednot on this map

Improving Heart Failure Risk Stratification in the ED

TypeobservationalSponsorVanderbilt UniversityRan2007 to 2015Enrolled1,033ConditionsCardiovascular Diseases
3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Prognostic Models in Heart Failure: Hope or Hype?Journal of personalized medicine · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Clinical Review of Hypertensive Acute Heart Failure.Medicina (Kaunas, Lithuania) · 2024
    Review
  19. 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 · 2023
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Sean P CollinsDepartment of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee. Electronic address: sean.collins@vanderbilt.edu.
Cathy A JenkinsDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee.
Frank E HarrellDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee.
Dandan LiuDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee.
Karen F MillerDepartment of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Christopher J LindsellDepartment of Emergency Medicine, University of Cincinnati, Cincinnati, Ohio.
Allen J NaftilanDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
John A McPhersonDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
David J MaronDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California.
Douglas B SawyerDepartment of Medicine, Division of Cardiovascular Medicine, Maine Medical Center, Portland, Maine.
Neal L WeintraubDepartment of Medicine and Vascular Biology Center, Georgia Regents University, Augusta, Georgia.
Gregory J FermannDepartment of Emergency Medicine, University of Cincinnati, Cincinnati, Ohio.
Susan K RollDepartment of Emergency Medicine, University of Cincinnati, Cincinnati, Ohio.
Matthew SperlingDepartment of Emergency Medicine, University of Cincinnati, Cincinnati, Ohio.
Alan B StorrowDepartment of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
The Vanderbilt Emergency Medicine Research Training Program (VEMRT)K12HL109019 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COLLINS, SEAN PATRICK, STORROW, ALAN B · 2011 to 2015
$3.7M
Improving Heart Failure Risk Stratification in the EDR01HL088459 · NHLBI · VANDERBILT UNIVERSITY · PI STORROW, ALAN B · 2007 to 2010
$3.2M
Angiotensin II, oxidative stress, and aneurysm formationR01HL076684 · NHLBI · UNIVERSITY OF IOWA · PI WEINTRAUB, NEAL L · 2005 to 2013
$3.0M
Perivascular adipose tissue and vascular remodelingR01HL112640 · NHLBI · UNIVERSITY OF CINCINNATI · PI WEINTRAUB, NEAL L · 2012 to 2016
$2.1M
Treatment Endpoints in Acute Decompensated Heart FailureK23HL085387 · NHLBI · VANDERBILT UNIVERSITY · PI COLLINS, SEAN PATRICK · 2008 to 2012
$797k
NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1TR000445NHLBI NIH HHS 3R01 HL088459-03S1NHLBI NIH HHS K12 HL109019NHLBI NIH HHS K23 HL085387NHLBI NIH HHS R01 HL076684NHLBI NIH HHS R01 HL088459NHLBI NIH HHS R01 HL112640
6 · The paper itself

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).

Indexed as

Decision Support TechniquesAcute DiseaseAgedCohort StudiesConfidence IntervalsEmergency Service, HospitalFemaleHeart FailureHospital MortalityHumansMaleMiddle AgedOdds RatioPatient AdmissionPatient ReadmissionPredictive Value of Testsacute heart failuredecision toolemergency departmentprospective study

Identifiers

PMID26449993
PMCPMC4625834

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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.