Evidence map›Paper›PMID 34491351›Full record

ArticleJAMA network open2021

Temporal Trends and Hospital Variation in Time-to-Antibiotics Among Veterans Hospitalized With Sepsis.

Max T Wayne, Sarah Seelye, Daniel Molling, Xiao Qing Wang, John P Donnelly, Cainnear K Hogan, Makoto M Jones, Theodore J Iwashyna, Vincent X Liu, Hallie C Prescott

Abstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Article
  7. Article
  8. Goals of Care Assessment during Hospitalization for Sepsis.Annals of the American Thoracic Society · 2025
    Article
  9. Observational
  10. Article
  11. Observational
  12. Review
  13. Heterogeneity of Benefit from Earlier Time-to-Antibiotics for Sepsis.American journal of respiratory and critical care medicine · 2024
    Observational
  14. Improving Sepsis Outcomes in the Era of Pay-for-Performance and Electronic Quality Measures: A Joint IDSA/ACEP/PIDS/SHEA/SHM/SIDP Position Paper.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Antimicrobials in Sepsis: Time to Pay Attention toAnnals of the American Thoracic Society · 2023
    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

10 authors.

Max T WayneDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor.
Sarah SeelyeVA Center for Clinical Management Research, Ann Arbor, Michigan.
Daniel MollingVA Center for Clinical Management Research, Ann Arbor, Michigan.
Xiao Qing WangDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor.
John P DonnellyInstitute for Healthcare Policy & Innovation, University of Michigan, Ann Arbor.
Cainnear K HoganVA Center for Clinical Management Research, Ann Arbor, Michigan.
Makoto M JonesSalt Lake City VA Healthcare System, Salt Lake City, Utah.
Theodore J IwashynaDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor.
Vincent X LiuDivision of Research, Kaiser Permanente Northern California, Oakland.
Hallie C PrescottDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor.

Funding

Understanding and Informing Early Hospital Antibiotic Prescribing for Potential InfectionR01HS026725 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIU, VINCENT, PRESCOTT, HALLIE CHRISTINE · 2019 to 2023
$2.2M
Actionable Knowledge to Guide Antibiotic StewardshipIK2HX001165 · VA · VA SALT LAKE CITY HEALTHCARE SYSTEM · PI JONES, MAKOTO · 2015 to 2020
–
AHRQ HHS R01 HS026725HSRD VA IK2 HX001165
6 · The paper itself

Abstract

Importance: It is unclear whether antimicrobial timing for sepsis has changed outside of performance incentive initiatives. Objective: To examine temporal trends and variation in time-to-antibiotics for sepsis in the US Department of Veterans Affairs (VA) health care system. Design, Setting, and Participants: This observational cohort study included 130 VA hospitals from 2013 to 2018. Participants included all patients admitted to the hospital via the emergency department with sepsis from 2013 to 2018, using a definition adapted from the Centers for Disease Control and Prevention Adult Sepsis Event definition, which requires evidence of suspected infection, acute organ dysfunction, and systemic antimicrobial therapy within 12 hours of presentation. Data were analyzed from October 6, 2020, to July 1, 2021. Exposures: Time from presentation to antibiotic administration. Main Outcomes and Measures: The main outcome was differences in time-to-antibiotics across study periods, hospitals, and patient subgroups defined by presenting temperature and blood pressure. Temporal trends in time-to-antibiotics were measured overall and by subgroups. Hospital-level variation in time-to-antibiotics was quantified after adjusting for differences in patient characteristics using multilevel linear regression models. Results: A total of 111 385 hospitalizations for sepsis were identified, including 107 547 men (96.6%) men and 3838 women (3.4%) with a median (interquartile range [IQR]) age of 68 (62-77) years. A total of 7574 patients (6.8%) died in the hospital, and 13 855 patients (12.4%) died within 30 days. Median (IQR) time-to-antibiotics was 3.9 (2.4-6.5) hours but differed by presenting characteristics. Unadjusted median (IQR) time-to-antibiotics decreased over time, from 4.5 (2.7-7.1) hours during 2013 to 2014 to 3.5 (2.2-5.9) hours during 2017 to 2018 (P < .001). In multilevel models adjusted for patient characteristics, median time-to-antibiotics declined by 9.0 (95% CI, 8.8-9.2) minutes per calendar year. Temporal trends in time-to-antibiotics were similar across patient subgroups, but hospitals with faster baseline time-to-antibiotics had less change over time, with hospitals in the slowest tertile decreasing time-to-antibiotics by 16.6 minutes (23.1%) per year, while hospitals in the fastest tertile decreased time-to-antibiotics by 7.2 minutes (13.1%) per year. In the most recent years (2017-2018), median time-to-antibiotics ranged from 3.1 to 6.7 hours across hospitals (after adjustment for patient characteristics), 6.8% of variation in time-to-antibiotics was explained at the hospital level, and odds of receiving antibiotics within 3 hours increased by 65% (95% CI, 56%-77%) for the median patient if moving to a hospital with faster time-to-antibiotics. Conclusions and Relevance: This cohort study across nationwide VA hospitals found that time-to-antibiotics for sepsis has declined over time. However, there remains significant variability in time-to-antibiotics not explained by patient characteristics, suggesting potential unwarranted practice variation in sepsis treatment. Efforts to further accelerate time-to-antibiotics must be weighed against risks of overtreatment.

Indexed as

HospitalizationVeteransAgedAnti-Bacterial AgentsCohort StudiesDrug Administration ScheduleEmergency Service, HospitalFemaleHumansMaleMiddle AgedSepsisTime-to-TreatmentUnited StatesUnited States Department of Veterans AffairsAnti-Bacterial Agents

Identifiers

PMID34491351
PMCPMC8424480

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.