Evidence map›Paper›PMID 39265486›Full record

ArticleThe American journal of emergency medicine2024

Validation and comparison of triage-based screening strategies for sepsis.

Kasra Rahmati, Samuel M Brown, Joseph R Bledsoe, Paul Passey, Peter P Taillac, Scott T Youngquist, Matthew M Samore, Catherine L Hough, Ithan D Peltan

Abstract readValidation StudyComparative StudyMulticenter Study
In one paragraph

Article in The American journal of emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

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

Kasra RahmatiUniversity of California Los Angeles David Geffen School of Medicine, 855 Tiverton Dr, Los Angeles, CA, USA; Department of Pulmonary and Critical Care Medicine, Department of Medicine, Intermountain Medical Center, 5121 South Cottonwood St, Murray, UT, USA.
Samuel M BrownDepartment of Pulmonary and Critical Care Medicine, Department of Medicine, Intermountain Medical Center, 5121 South Cottonwood St, Murray, UT, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Utah School of Medicine, 30 N 1900 E, Salt Lake City, UT, USA.
Joseph R BledsoeDepartment of Emergency Medicine, Intermountain Medical Center, 5121 South Cottonwood St, Salt Lake City, UT, USA.
Paul PasseyDepartment of Pulmonary and Critical Care Medicine, Department of Medicine, Intermountain Medical Center, 5121 South Cottonwood St, Murray, UT, USA.
Peter P TaillacDepartment of Emergency Medicine, University of Utah School of Medicine, 30 N. Mario Capecchi Dr, Salt Lake City, UT, USA.
Scott T YoungquistDepartment of Emergency Medicine, University of Utah School of Medicine, 30 N. Mario Capecchi Dr, Salt Lake City, UT, USA.
Matthew M SamoreDivision of Epidemiology, Department of Medicine, University of Utah School of Medicine, 30 N 1900 E, Salt Lake City, UT, USA.
Catherine L HoughDivision of Pulmonary and Critical Care Medicine, Department of Medicine, University of Washington School of Medicine, 1959 NE Pacific St, Seattle, WA, USA.
Ithan D PeltanDepartment of Pulmonary and Critical Care Medicine, Department of Medicine, Intermountain Medical Center, 5121 South Cottonwood St, Murray, UT, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Utah School of Medicine, 30 N 1900 E, Salt Lake City, UT, USA. Electronic address: ithan.peltan@utah.edu.

Funding

Measuring and Learning from Care Variation in SepsisR35GM151147 · NIGMS · IHC HEALTH SERVICES, INC. · PI Ithan Daniel Peltan · 2023 to 2026
$1.5M
Prehospital Activation of ED Teams to Improve Sepsis CareK23GM129661 · NIGMS · IHC HEALTH SERVICES, INC. · PI PELTAN, ITHAN DANIEL · 2019 to 2023
$786k
NIGMS NIH HHS K23 GM129661NIGMS NIH HHS R35 GM151147
6 · The paper itself

Abstract

objectiveThis study sought to externally validate and compare proposed methods for stratifying sepsis risk at emergency department (ED) triage.

methodsThis nested case/control study enrolled ED patients from four hospitals in Utah and evaluated the performance of previously-published sepsis risk scores amenable to use at ED triage based on their area under the precision-recall curve (AUPRC, which balances positive predictive value and sensitivity) and area under the receiver operator characteristic curve (AUROC, which balances sensitivity and specificity). Score performance for predicting whether patients met Sepsis-3 criteria in the ED was compared to patients' assigned ED triage score (Canadian Triage Acuity Score [CTAS]) with adjustment for multiple comparisons.

resultsAmong 2000 case/control patients, 981 met Sepsis-3 criteria on final adjudication. The best performing sepsis risk scores were the Predict Sepsis version #3 (AUPRC 0.183, 95 % CI 0.148-0.256; AUROC 0.859, 95 % CI 0.843-0.875) and Borelli scores (AUPRC 0.127, 95 % CI 0.107-0.160, AUROC 0.845, 95 % CI 0.829-0.862), which significantly outperformed CTAS (AUPRC 0.038, 95 % CI 0.035-0.042, AUROC 0.650, 95 % CI 0.628-0.671, p < 0.001 for all AUPRC and AUROC comparisons). The Predict Sepsis and Borelli scores exhibited sensitivity of 0.670 and 0.678 and specificity of 0.902 and 0.834, respectively, at their recommended cutoff values and outperformed Systemic Inflammatory Response Syndrome (SIRS) criteria (AUPRC 0.083, 95 % CI 0.070-0.102, p = 0.052 and p = 0.078, respectively; AUROC 0.775, 95 % CI 0.756-0.795, p < 0.001 for both scores).

conclusionsThe Predict Sepsis and Borelli scores exhibited improved performance including increased specificity and positive predictive values for sepsis identification at ED triage compared to CTAS and SIRS criteria.

Indexed as

Emergency Service, HospitalSepsisTriageAdultAgedCase-Control StudiesFemaleHumansMaleMass ScreeningMiddle AgedRisk AssessmentROC CurveSensitivity and SpecificityUtahEmergency department (ED) triagePrediction model validationScreeningSepsis

Identifiers

PMID39265486
PMCPMC11525104

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.