Evidence map›Paper›PMID 31939788›Full record

Observational studyCritical care medicine2020

Time to Recognition of Sepsis in the Emergency Department Using Electronic Health Record Data: A Comparative Analysis of Systemic Inflammatory Response Syndrome, Sequential Organ Failure Assessment, and Quick Sequential Organ Failure Assessment.

Priya A Prasad, Margaret C Fang, Yumiko Abe-Jones, Carolyn S Calfee, Michael A Matthay, Kirsten N Kangelaris

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in Critical care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
  2. A neutrophil subset defined by intracellular olfactomedin 4 is associated with mortality in sepsis.American journal of physiology. Lung cellular and molecular physiology · 2021
    Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Association between in-hospital antibiotic use and long-term outcomes in critically ill patients.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025
    Article
  8. State of the art of sepsis care for the emergency medicine clinician.Journal of the American College of Emergency Physicians open · 2024
    Review
  9. Review
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. [Sepsis in out-of-hospital emergency medicine].Notfall & rettungsmedizin · 2022
    Review
  18. Article
  19. Article
  20. 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

6 authors.

Priya A PrasadDivision of Hospital Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA.
Margaret C FangDivision of Hospital Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA.
Yumiko Abe-JonesDivision of Hospital Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA.
Carolyn S CalfeePulmonary and Critical Care Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA.
Michael A MatthayPulmonary and Critical Care Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA.
Kirsten N KangelarisDivision of Hospital Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA.

Funding

Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
Precision Medicine in the Acute Respiratory Distress SyndromeR35HL140026 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CALFEE, CAROLYN · 2018 to 2024
$6.8M
Chemokine-related acute lung injury pathogenesis in African-American patientsK23HL116800 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANGELARIS, KIRSTEN NEUDOERFFER · 2013 to 2017
$876k
Use and outcomes of anticoagulants for the treatment and prevention of thrombosis among hospitalized patientsK24HL141354 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FANG, MARGARET C. · 2018 to 2022
$731k
NCATS NIH HHS UL1 TR001872NHLBI NIH HHS K23 HL116800NHLBI NIH HHS K24 HL141354NHLBI NIH HHS R35 HL140026
6 · The paper itself

Abstract

objectivesEarly identification of sepsis is critical to improving patient outcomes. Impact of the new sepsis definition (Sepsis-3) on timing of recognition in the emergency department has not been evaluated. Our study objective was to compare time to meeting systemic inflammatory response syndrome (Sepsis-2) criteria, Sequential Organ Failure Assessment (Sepsis-3) criteria, and quick Sequential Organ Failure Assessment criteria using electronic health record data.

designRetrospective, observational study.

settingThe emergency department at the University of California, San Francisco. PATIENTS: Emergency department encounters between June 2012 and December 2016 for patients greater than or equal to 18 years old with blood cultures ordered, IV antibiotic receipt, and identification with sepsis via systemic inflammatory response syndrome or Sequential Organ Failure Assessment within 72 hours of emergency department presentation.

interventionsNone. MEASUREMENTS AND MAIN

resultsWe analyzed timestamped electronic health record data from 16,612 encounters identified as sepsis by greater than or equal to 2 systemic inflammatory response syndrome criteria or a Sequential Organ Failure Assessment score greater than or equal to 2. The primary outcome was time from emergency department presentation to meeting greater than or equal to 2 systemic inflammatory response syndrome criteria, Sequential Organ Failure Assessment greater than or equal to 2, and/or greater than or equal to 2 quick Sequential Organ Failure Assessment criteria. There were 9,087 patients (54.7%) that met systemic inflammatory response syndrome-first a median of 26 minutes post-emergency department presentation (interquartile range, 0-109 min), with 83.1% meeting Sequential Organ Failure Assessment criteria a median of 118 minutes later (interquartile range, 44-401 min). There were 7,037 patients (42.3%) that met Sequential Organ Failure Assessment-first, a median of 113 minutes post-emergency department presentation (interquartile range, 60-251 min). Quick Sequential Organ Failure Assessment was met in 46.4% of patients a median of 351 minutes post-emergency department presentation (interquartile range, 67-1,165 min). Adjusted odds of in-hospital mortality were 39% greater in patients who met systemic inflammatory response syndrome-first compared with those who met Sequential Organ Failure Assessment-first (odds ratio, 1.39; 95% CI, 1.20-1.61).

conclusionsSystemic inflammatory response syndrome and Sequential Organ Failure Assessment initially identified distinct populations. Using systemic inflammatory response syndrome resulted in earlier electronic health record sepsis identification in greater than 50% of patients. Using Sequential Organ Failure Assessment alone may delay identification. Using systemic inflammatory response syndrome alone may lead to missed sepsis presenting as acute organ dysfunction. Thus, a combination of inflammatory (systemic inflammatory response syndrome) and organ dysfunction (Sequential Organ Failure Assessment) criteria may enhance timely electronic health record-based sepsis identification.

Indexed as

Early DiagnosisOrgan Dysfunction ScoresAdultAgedComorbidityElectronic Health RecordsEmergency Service, HospitalFemaleHumansIntensive Care UnitsMaleMiddle AgedRetrospective StudiesSepsisSystemic Inflammatory Response SyndromeTime Factors

Identifiers

PMID31939788
PMCPMC7494056

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.