Evidence map›Paper›PMID 26070235›Full record

ArticleThe American journal of emergency medicine2015

Prehospital recognition of severe sepsis: development and validation of a novel EMS screening tool.

Carmen C Polito, Alex Isakov, Arthur H Yancey, Duncan K Wilson, Blake A Anderson, Ingrid Bloom, Greg S Martin, Jonathan E Sevransky

Abstract readValidation Study
In one paragraph

Article in The American journal of emergency medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Observational
  7. Article
  8. [Sepsis in out-of-hospital emergency medicine].Notfall & rettungsmedizin · 2022
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Observational
  14. Screening strategies to identify sepsis in the prehospital setting: a validation study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Observational
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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

8 authors.

Carmen C PolitoDivision of Pulmonary, Allergy, and Critical Care Medicine, Emory University, Atlanta, GA. Electronic address: cpolito@emory.edu.
Alex IsakovDepartment of Emergency Medicine, Emory University, Atlanta, GA.
Arthur H YanceyDepartment of Emergency Medicine, Emory University, Atlanta, GA.
Duncan K WilsonDepartment of Emergency Medicine, Northwestern University, Chicago, IL.
Blake A AndersonDepartment of Medicine, Emory University, Atlanta, GA.
Ingrid BloomDepartment of Emergency Medicine, Emory University, Atlanta, GA.
Greg S MartinDivision of Pulmonary, Allergy, and Critical Care Medicine, Emory University, Atlanta, GA.
Jonathan E SevranskyDivision of Pulmonary, Allergy, and Critical Care Medicine, Emory University, Atlanta, GA.

Funding

Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
Critical Care Training ProgramT32GM095442 · NIGMS · EMORY UNIVERSITY · PI Craig M Coopersmith · 2011 to 2026
$4.7M
NCATS NIH HHS UL1 TR000454NCATS NIH HHS UL1TR000454NIGMS NIH HHS T32 GM095442NIGMS NIH HHS T32GM095442
6 · The paper itself

Abstract

objectiveTo derive and validate a predictive model and novel emergency medical services (EMS) screening tool for severe sepsis (SS).

designRetrospective cohort study.

settingA single EMS system and an urban, public hospital. PATIENTS: Sequential adult, nontrauma, nonarrest, at-risk, EMS-transported patients between January 1, 2011, and December 31, 2012 were included in the study. At-risk patients were defined as having all 3 of the following criteria present in the EMS setting: (1) heart rate greater than 90 beats/min, (2) respiratory rate greater than 20 beats/min, and (3) systolic blood pressure less than 110 mm Hg.

interventionsNone. MEASUREMENTS AND MAIN

resultsAmong 66,439 EMS encounters, 555 met the criteria for analysis. Fourteen percent (n = 75) of patients had SS, of which 19% (n = 14) were identified by EMS clinical judgment. In-hospital mortality for patients with SS was 31% (n = 23). Six EMS characteristics were found to be predictors of SS: older age, transport from nursing home, Emergency Medical Dispatch (EMD) 9-1-1 chief concern category of "sick person," hot tactile temperature assessment, low systolic blood pressure, and low oxygen saturation. The final predictive model showed good discrimination in derivation and validation subgroups (areas under curves, 0.843 and 0.820, respectively). Sensitivity of the final model was 91% in the derivation group and 78% in the validation group. At a predefined threshold of 2 or more points, prehospital severe sepsis (PRESS) score sensitivity was 86%.

conclusionsThe PRESS score is a novel EMS screening tool for SS that demonstrates a sensitivity of 86% and a specificity of 47%. Additional validation is needed before this tool can be recommended for widespread clinical use.

Indexed as

Age FactorsEmergency Medical ServicesFemaleHomes for the AgedHumansLogistic ModelsMaleMiddle AgedNursing HomesRetrospective StudiesRisk FactorsSepsisVital Signs

Identifiers

PMID26070235
PMCPMC4562872

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.