Evidence map›Paper›PMID 21853068›Full record

ArticlePloS one2011

Prediction of emergent heart failure death by semi-quantitative triage risk stratification.

Harriette G C Van Spall, Clare Atzema, Michael J Schull, Gary E Newton, Susanna Mak, Alice Chong, Jack V Tu, Thérèse A Stukel, Douglas S Lee

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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.

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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Harriette G C Van SpallPopulation Health Research Institute, Hamilton Health Science and McMaster University, Hamilton, Canada.
Clare Atzema
Michael J Schull
Gary E Newton
Susanna Mak
Alice Chong
Jack V Tu
Thérèse A Stukel
Douglas S Lee

Funding

Canadian Institutes of Health Research MOP 114937
6 · The paper itself

Abstract

objectivesGeneric triage risk assessments are widely used in the emergency department (ED), but have not been validated for prediction of short-term risk among patients with acute heart failure (HF). Our objective was to evaluate the Canadian Triage Acuity Scale (CTAS) for prediction of early death among HF patients.

methodsWe included patients presenting with HF to an ED in Ontario from Apr 2003 to Mar 2007. We used the National Ambulatory Care Reporting System and vital statistics databases to examine care and outcomes.

resultsAmong 68,380 patients (76±12 years, 49.4% men), early mortality was stratified with death rates of 9.9%, 1.9%, 0.9%, and 0.5% at 1-day, and 17.2%, 5.9%, 3.8%, and 2.5% at 7-days, for CTAS 1, 2, 3, and 4-5, respectively. Compared to lower acuity (CTAS 4-5) patients, adjusted odds ratios (aOR) for 1-day death were 1.32 (95%CI; 0.93-1.88; p = 0.12) for CTAS 3, 2.41 (95%CI; 1.71-3.40; p<0.001) for CTAS 2, and highest for CTAS 1: 9.06 (95%CI; 6.28-13.06; p<0.001). Predictors of triage-critical (CTAS 1) status included oxygen saturation <90% (aOR 5.92, 95%CI; 3.09-11.81; p<0.001), respiratory rate >24 breaths/minute (aOR 1.96, 95%CI; 1.05-3.67; p = 0.034), and arrival by paramedic (aOR 3.52, 95%CI; 1.70-8.02; p = 0.001). While age/sex-adjusted CTAS score provided good discrimination for ED (c-statistic = 0.817) and 1-day (c-statistic = 0.724) death, mortality prediction was improved further after accounting for cardiac and non-cardiac co-morbidities (c-statistics 0.882 and 0.810, respectively; both p<0.001).

conclusionsA semi-quantitative triage acuity scale assigned at ED presentation and based largely on respiratory factors predicted emergent death among HF patients.

Indexed as

AgedCanadaDyspneaEmergency Service, HospitalFemaleHeart FailureHumansMaleRisk FactorsSurvival AnalysisTreatment OutcomeTriage

Identifiers

PMID21853068
PMCPMC3154275

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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.