Evidence map›Paper›PMID 35487840›Full record

ArticleAnnals of emergency medicine2022

Development of a Novel Emergency Department Quality Measure to Reduce Very Low-Risk Syncope Hospitalizations.

Marc A Probst, Alexander T Janke, Adrian D Haimovich, Arjun K Venkatesh, Michelle P Lin, Keith E Kocher, Marie-Joe Nemnom, Venkatesh Thiruganasambandamoorthy

Open access · greenAbstract read
In one paragraph

Article in Annals of emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.1field-weighted citation impact, top 5% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 19 citations in OpenAlex.

  1. Design and rationale of the RISC-trial: multicentreEuropean heart journal open · 2026
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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

8 authors at 6 institutions in 2 countries.

Marc A ProbstDepartment of Emergency Medicine, Columbia University Medical Center, New York, NY. Electronic address: mprobst@gmail.com.
Alexander T JankeDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT.
Adrian D HaimovichDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT.
Arjun K VenkateshDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT.
Michelle P LinDepartment of Emergency Medicine and Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY.
Keith E KocherDepartment of Emergency Medicine and Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI.
Marie-Joe NemnomClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Venkatesh ThiruganasambandamoorthyDepartment of Emergency Medicine, School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.
Yale University · USColumbia University Irving Medical Center · USIcahn School of Medicine at Mount Sinai · USOttawa Hospital Research InstituteUniversity of Michigan–Ann Arbor · USUniversity of Ottawa · CA

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Practical Approaches to Care in Emergency Syncope (PACES)R01HL149680 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI PROBST, MARC · 2020 to 2024
$4.6M
Understanding hospital value: provider, hospital and community effectsR01HS022882 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HORWITZ, LEORA · 2014 to 2023
$2.9M
PROAACT- Admin SupplementK23HL143042 · NHLBI · STANFORD UNIVERSITY · PI LIN, MICHELLE P · 2019 to 2023
$1.0M
AHRQ HHS R01 HS022882NCATS NIH HHS UL1 TR001863NHLBI NIH HHS K23 HL143042NHLBI NIH HHS R01 HL149680
6 · The paper itself

Abstract

STUDY

objectiveEmergency department (ED) evaluations for syncope are common, representing 1.3 million annual US visits and $2 billion in related hospitalizations. Despite evidence supporting risk stratification and outpatient management, variation in syncope hospitalization rates persist. We sought to develop a new quality measure for very low-risk adult ED patients with syncope that could be applied to administrative data.

methodsWe developed this quality measure in 2 phases. First, we used an existing prospective, observational ED patient data set to identify a very low-risk cohort with unexplained syncope using 2 variables: age less than 50 years and no history of heart disease. We then applied this to the 2019 Nationwide Emergency Department Sample (NEDS) to assess its potential effect, assessing for hospital-level factors associated with hospitalization variation.

resultsOf the 8,647 adult patients in the prospective cohort, 3,292 (38%) patients fulfilled these 2 criteria: age less than 50 years and no history of heart disease. Of these, 15 (0.46%) suffered serious adverse events within 30 days. In the NEDS, there were an estimated 566,031 patients meeting these 2 criteria, of whom 15,507 (2.7%; 95% confidence interval [CI] 2.48% to 3.00%) were hospitalized. We found substantial variation in the hospitalization rates for this very low-risk cohort, with a median rate of 1.7% (range 0% to 100%; interquartile range 0% to 3.9%). Factors associated with increased hospitalization rates included a yearly ED volume of more than 80,000 (odds ratio [OR] 3.14; 95% CI 2.02 to 4.89) and metropolitan teaching status (OR 1.5; 95% CI 1.24 to 1.81).

conclusionIn summary, our novel syncope quality measure can assess variation in low-value hospitalizations for unexplained syncope. The application of this measure could improve the value of syncope care.

Indexed as

Heart DiseasesQuality Indicators, Health CareAdultEmergency Service, HospitalHospitalizationHumansMiddle AgedProspective StudiesSyncope

Identifiers

PMID35487840
PMCPMC9117517
OpenAlexW4224922592

What OpenQuestion holds

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Registered trials

None linked

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.