Evidence map›Paper›PMID 31977564›Full record

ArticleThe Journal of cardiovascular nursing

The Association Between Patient Outcomes and the Initial Emergency Severity Index Triage Score in Patients With Suspected Acute Coronary Syndrome.

Stephanie O Frisch, Ziad Faramand, Brandi Leverknight, Christian Martin-Gill, Susan M Sereika, Ervin Sejdić, Marilyn Hravnak, Clifton W Callaway, Salah Al-Zaiti

Open access · greenAbstract read
In one paragraph

Article in The Journal of cardiovascular nursing. 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
1.3field-weighted citation impact, top 20% 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, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Stephanie O FrischStephanie O. Frisch, MSN, RN, CEN Department of Acute & Tertiary Care Nursing, University of Pittsburgh; and University of Pittsburgh Medical Center, Pennsylvania. Ziad Faramand, MD Department of Acute & Tertiary Care Nursing, University of Pittsburgh, Pennsylvania. Brandi Leverknight, NRP Department of Emergency Medicine, University of Pittsburgh, Pennsylvania. Christian Martin-Gill, MD, MPH Department of Emergency Medicine, University of Pittsburgh; and University of Pittsburgh Medical Center, Pennsylvania. Susan M. Sereika, PhD Department of Center for Research and Evaluation, School of Nursing, University of Pittsburgh, Pennsylvania. Ervin Sejdić, PhD Department of Electrical & Computer Engineering, University of Pittsburgh, Pennsylvania. Marilyn Hravnak, PhD, CRNP, RN Department of Acute & Tertiary Care Nursing, University of Pittsburgh; and University of Pittsburgh Medical Center, Pennsylvania. Clifton W. Callaway, MD, PhD Department of Emergency Medicine, University of Pittsburgh; and University of Pittsburgh Medical Center, Pennsylvania. Salah Al-Zaiti, PhD, CRNP, RN Assistant Professor, Department of Acute & Tertiary Care Nursing, and Assistant Professor, Department of Emergency Medicine, University of Pittsburgh, Pennsylvania.
Ziad Faramand
Brandi Leverknight
Christian Martin-Gill
Susan M Sereika
Ervin Sejdić
Marilyn Hravnak
Clifton W Callaway
Salah Al-Zaiti
University of Pittsburgh Medical Center · US

Funding

Technology Research in Chronic & Critical IllnessT32NR008857 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Young Ji Lee · 2005 to 2026
$4.0M
Electrocardiographic Detection of Non-ST Elevation Myocardial Events for Accelerated Classification of Chest Pain Encounters (ECG-SMART 2)R01HL137761 · NHLBI · UNIVERSITY OF ROCHESTER · PI Salah S Al-Zaiti · 2018 to 2026
$4.0M
NHLBI NIH HHS R01 HL137761NINR NIH HHS T32 NR008857
6 · The paper itself

Abstract

backgroundThe Emergency Severity Index (ESI) is a widely used tool to triage patients in emergency departments. The ESI tool is used to assess all complaints and has significant limitation for accurately triaging patients with suspected acute coronary syndrome (ACS).

objectiveWe evaluated the accuracy of ESI in predicting serious outcomes in suspected ACS and aimed to assess the incremental reclassification performance if ESI is supplemented with a clinically validated tool used to risk-stratify suspected ACS.

methodsWe used existing data from an observational cohort study of patients with chest pain. We extracted ESI scores documented by triage nurses during routine medical care. Two independent reviewers adjudicated the primary outcome, incidence of 30-day major adverse cardiac events. We compared ESI with the well-established modified HEAR/T (patient History, Electrocardiogram, Age, Risk factors, but without Troponin) score.

resultsOur sample included 750 patients (age, 59 ± 17 years; 43% female; 40% black). A total of 145 patients (19%) experienced major adverse cardiac event. The area under the receiver operating characteristic curve for ESI score for predicting major adverse cardiac event was 0.656, compared with 0.796 for the modified HEAR/T score. Using the modified HEAR/T score, 181 of the 391 false positives (46%) and 16 of the 19 false negatives (84%) assigned by ESI could be reclassified correctly.

conclusionThe ESI score is poorly associated with serious outcomes in patients with suspected ACS. Supplementing the ESI tool with input from other validated clinical tools can greatly improve the accuracy of triage in patients with suspected ACS.

Indexed as

Emergency Service, HospitalTriageAcute Coronary SyndromeAdultAgedElectrocardiographyFemaleHospitalizationHumansMaleMiddle AgedOutcome Assessment, Health CarePredictive Value of TestsRetrospective StudiesRisk AssessmentRisk Factors

Identifiers

PMID31977564
PMCPMC7371502
OpenAlexW3002600642

What OpenQuestion holds

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Read underepoch 390

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.