Evidence map›Paper›PMID 31393346›Full record

Observational studyMedicine2019

Predictive risk stratification using HEART (history, electrocardiogram, age, risk factors, and initial troponin) and TIMI (thrombolysis in myocardial infarction) scores in non-high risk chest pain patients: An African American urban community based hospital study.

Priyanka T Bhattacharya, Reshma R Golamari, Sandhya Vunnam, Smitha Moparthi, Neethi Venkatappa, Denis J Dollard, Jose Missri, Wei Yang, Stephen E Kimmel

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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 3 institutions in 1 country.

Priyanka T BhattacharyaDepartment of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania.
Reshma R GolamariDepartment of Internal Medicine, Mercy Catholic Medical Center, Drexel University College of Medicine.
Sandhya VunnamDepartment of Internal Medicine, Mercy Catholic Medical Center, Drexel University College of Medicine.
Smitha MoparthiDepartment of Internal Medicine, Mercy Catholic Medical Center, Drexel University College of Medicine.
Neethi VenkatappaDepartment of Internal Medicine, Mercy Catholic Medical Center, Drexel University College of Medicine.
Denis J DollardDepartment of Internal Medicine, Mercy Catholic Medical Center, Drexel University College of Medicine.
Jose MissriDepartment of Medicine, Division of Cardiology, Drexel University College of Medicine, Philadelphia, PA.
Wei YangCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania.
Stephen E KimmelCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania.
Drexel University · USUniversity of Pennsylvania · USMercy Catholic Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Validated risk scoring systems in African American (AA) population are under studied. We utilized history, electrocardiogram, age, risk factors, and initial troponin (HEART) and thrombolysis in myocardial infarction (TIMI) scores to predict major adverse cardiovascular events (MACE) in non-high cardiovascular (CV) risk predominantly AA patient population.A retrospective emergency department (ED) charts review of 1266 chest pain patients where HEART and TIMI scores were calculated for each patient. Logistic regression model was computed to predict 6-week and 1-year MACE and 90-day cardiac readmission. Decision curve analysis (DCA) was constructed to differentiate between clinical strategies in non-high CV risk patients.Of the 817 patients included, 500 patients had low HEART score vs. 317 patients who had moderate HEART score. Six hundred sixty-three patients had low TIMI score vs. 154 patients had high TIMI score. The univariate logistic regression model shows odds ratio of predicting 6-week MACE using HEART score was 3.11 (95% confidence interval [CI] 1.43-6.76, P = .004) with increase in risk category from low to moderate vs. 2.07 (95% CI 1.18-3.63, P = .011) using TIMI score with increase in risk category from low to high and c-statistic of 0.86 vs. 0.79, respectively. DCA showed net benefit of using HEART score is equally predictive of 6-week MACE when compared to TIMI.In non-high CV risk AA patients, HEART score is better predictive tool for 6-week MACE when compared to TIMI score. Furthermore, patients presenting to ED with chest pain, the optimal strategy for a 2% to 4% miss rate threshold probability should be to discharge these patients from the ED.

Indexed as

Black or African AmericanHealth Status IndicatorsAdultAgedAge FactorsCardiovascular DiseasesChest PainElectrocardiographyEmergency Service, HospitalFemaleHospitals, CommunityHumansLogistic ModelsMaleMiddle AgedMyocardial InfarctionTroponin

Identifiers

PMID31393346
PMCPMC6708799
OpenAlexW2969098049

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.