Evidence map›Paper›PMID 28198635›Full record

ArticleEuropean journal of cardiovascular nursing2017

Impact of comorbidities by age on symptom presentation for suspected acute coronary syndromes in the emergency department.

Larisa A Burke, Anne G Rosenfeld, Mohamud R Daya, Karen M Vuckovic, Jessica K Zegre-Hemsey, Maria Felix Diaz, Josemare Tosta Daiube Santos, Sahereh Mirzaei, Holli A DeVon

Open access · greenAbstract readComparative StudyMulticenter Study
In one paragraph

Article in European journal of cardiovascular nursing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

9 authors at 4 institutions in 1 country.

Larisa A Burke1 Department of Biobehavioral Sciences, College of Nursing, University of Illinois at Chicago, Chicago, IL, USA.
Anne G Rosenfeld2 Biobehavioral Health Science Division, University of Arizona College of Nursing, Tucson, AZ, USA.
Mohamud R Daya3 Department of Emergency Medicine, Oregon Health & Sciences University, Portland, OR, USA.
Karen M Vuckovic1 Department of Biobehavioral Sciences, College of Nursing, University of Illinois at Chicago, Chicago, IL, USA.
Jessica K Zegre-Hemsey4 School of Nursing, University of North Carolina, Chapel Hill, NC, USA.
Maria Felix Diaz1 Department of Biobehavioral Sciences, College of Nursing, University of Illinois at Chicago, Chicago, IL, USA.
Josemare Tosta Daiube Santos1 Department of Biobehavioral Sciences, College of Nursing, University of Illinois at Chicago, Chicago, IL, USA.
Sahereh Mirzaei1 Department of Biobehavioral Sciences, College of Nursing, University of Illinois at Chicago, Chicago, IL, USA.
Holli A DeVon1 Department of Biobehavioral Sciences, College of Nursing, University of Illinois at Chicago, Chicago, IL, USA.
University of Illinois Chicago · USOregon Health & Science University · USUniversity of Arizona · USUniversity of North Carolina at Chapel Hill · US

Funding

North Carolina Translational & Clinical Sciences Institute (NC TraCS)KL2TR001109 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$5.7M
The Influence of Gender on Symptom Characteristics During Acute Coronary SyndromeR01NR012012 · NINR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI DEVON, HOLLI A · 2010 to 2013
$1.9M
NCATS NIH HHS KL2 TR001109NINR NIH HHS R01 NR012012
6 · The paper itself

Abstract

backgroundIt is estimated half of acute coronary syndrome (ACS) patients have one or more associated comorbid conditions.

aimsAims were to: 1) examine the prevalence of comorbid conditions in patients presenting to the emergency department with symptoms suggestive of ACS; 2) determine if comorbid conditions influence ACS symptoms; and 3) determine if comorbid conditions predict the likelihood of receiving an ACS diagnosis.

methodsA total of 1064 patients admitted to five emergency departments were enrolled in this prospective study. Symptoms were measured on presentation to the emergency department. The Charlson Comorbidity Index (CCI) was used to evaluate group differences in comorbidity burden across demographic traits, risk factors, clinical presentation, and diagnosis.

resultsThe most prominent comorbid conditions were prior myocardial infarction, diabetes without target organ damage, and chronic lung disease. In younger ACS patients, higher CCI predicted less chest pain, chest discomfort, unusual fatigue and a lower number of symptoms. In older ACS patients, higher CCI predicted more chest discomfort, upper back pain, abrupt symptom onset, and greater symptom distress. For younger non-ACS patients, higher CCI predicted less chest pain and symptom distress. Higher CCI was associated with a greater likelihood of receiving an ACS diagnosis for younger but not older patients with suspected ACS.

conclusionsYounger patients with ACS and higher number of comorbidities report less chest pain, putting them at higher risk for delayed diagnosis and treatment since chest pain is a hallmark symptom for ACS.

Indexed as

ComorbidityAcute Coronary SyndromeAgedAged, 80 and overAge FactorsEmergency Service, HospitalFemaleHumansMaleMiddle AgedPrevalenceProspective StudiesRisk FactorsAcute coronary syndromeagecardiovascular conditionscomorbiditiesemergency medicinesymptoms

Identifiers

PMID28198635
PMCPMC5607630
OpenAlexW2588773192

What OpenQuestion holds

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Registered trials

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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.