Evidence map›Paper›PMID 35759274›Full record

Observational studyJAMA internal medicine2022

Temporal Trends in Antimicrobial Prescribing During Hospitalization for Potential Infection and Sepsis.

Hallie C Prescott, Sarah Seelye, Xiao Qing Wang, Cainnear K Hogan, Joshua T Smith, Patricia Kipnis, Fernando Barreda, John P Donnelly, Jason M Pogue, Theodore J Iwashyna and 2 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in JAMA internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Risk Factors for Adverse Outcomes in Cancer Patients With Sepsis.Journal of clinical medicine research · 2026
    Article
  7. Article
  8. The authors reply.Critical care medicine · 2025
    Article
  9. Article
  10. Observational
  11. Heterogeneity of Benefit from Earlier Time-to-Antibiotics for Sepsis.American journal of respiratory and critical care medicine · 2024
    Observational
  12. 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
  13. Article
  14. Concordance Between Initial Presumptive and Final Adjudicated Diagnoses of Infection Among Patients Meeting Sepsis-3 Criteria in the Emergency Department.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  15. 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

12 authors at 4 institutions in 1 country.

Hallie C PrescottDepartment of Internal Medicine, University of Michigan, Ann Arbor.
Sarah SeelyeVA Center for Clinical Management Research, Ann Arbor, Michigan.
Xiao Qing WangDepartment of Internal Medicine, University of Michigan, Ann Arbor.
Cainnear K HoganVA Center for Clinical Management Research, Ann Arbor, Michigan.
Joshua T SmithDivision of Research, Kaiser Permanente Northern California, Oakland.
Patricia KipnisDivision of Research, Kaiser Permanente Northern California, Oakland.
Fernando BarredaDivision of Research, Kaiser Permanente Northern California, Oakland.
John P DonnellyDepartment of Learning Health Sciences, University of Michigan, Ann Arbor.
Jason M PogueDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor.
Theodore J IwashynaDepartment of Internal Medicine, University of Michigan, Ann Arbor.
Makoto M JonesSalt Lake City VA Healthcare System, Salt Lake City, Utah.
Vincent X LiuDivision of Research, Kaiser Permanente Northern California, Oakland.
University of Michigan · USKaiser Permanente · USVA Center for Clinical Management Research · USVA Salt Lake City Healthcare System · US

Funding

TRAINING IN THE DEMOGRAPHY OF AGINGT32AG000221 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 1992 to 2026
$15.3M
Training to Advance Care Through Implementation Science in Cardiac And Lung Illnesses (TACTICAL)K12HL138039 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BARNES, GEOFFREY DOUGLAS, PRESCOTT, HALLIE CHRISTINE · 2017 to 2021
$3.1M
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
AHRQ HHS R01 HS026725NHLBI NIH HHS K12 HL138039NIA NIH HHS T32 AG000221
6 · The paper itself

Abstract

Importance: Some experts have cautioned that national and health system emphasis on rapid administration of antimicrobials for sepsis may increase overall antimicrobial use even among patients without sepsis. Objective: To assess whether temporal changes in antimicrobial timing for sepsis are associated with increasing antimicrobial use, days of therapy, or broadness of antimicrobial coverage among all hospitalized patients at risk for sepsis. Design, Setting, and Participants: This is an observational cohort study of hospitalized patients at 152 hospitals in 2 health care systems during 2013 to 2018, admitted via the emergency department with 2 or more systemic inflammatory response syndrome (SIRS) criteria. Data analysis was performed from June 10, 2021, to March 22, 2022. Exposures: Hospital-level temporal trends in time to first antimicrobial administration. Outcomes: Antimicrobial outcomes included antimicrobial use, days of therapy, and broadness of antibacterial coverage. Clinical outcomes included in-hospital mortality, 30-day mortality, length of hospitalization, and new multidrug-resistant (MDR) organism culture positivity. Results: Among 1 559 523 patients admitted to the hospital via the emergency department with 2 or more SIRS criteria (1 269 998 male patients [81.4%]; median [IQR] age, 67 [59-77] years), 273 255 (17.5%) met objective criteria for sepsis. In multivariable models adjusted for patient characteristics, the adjusted median (IQR) time to first antimicrobial administration to patients with sepsis decreased by 37 minutes, from 4.7 (4.1-5.3) hours in 2013 to 3.9 (3.6-4.4) hours in 2018, although the slope of decrease varied across hospitals. During the same period, antimicrobial use within 48 hours, days of antimicrobial therapy, and receipt of broad-spectrum coverage decreased among the broader cohort of patients with SIRS. In-hospital mortality, 30-day mortality, length of hospitalization, new MDR culture positivity, and new MDR blood culture positivity decreased over the study period among both patients with sepsis and those with SIRS. When examining hospital-specific trends, decreases in antimicrobial use, days of therapy, and broadness of antibacterial coverage for patients with SIRS did not differ by hospital antimicrobial timing trend for sepsis. Overall, there was no evidence that accelerating antimicrobial timing for sepsis was associated with increasing antimicrobial use or impaired antimicrobial stewardship. Conclusions and Relevance: In this multihospital cohort study, the time to first antimicrobial for sepsis decreased over time, but this trend was not associated with increasing antimicrobial use, days of therapy, or broadness of antimicrobial coverage among the broader population at-risk for sepsis, which suggests that shortening the time to antibiotics for sepsis is feasible without leading to indiscriminate antimicrobial use.

Indexed as

SepsisAgedAnti-Bacterial AgentsCohort StudiesEmergency Service, HospitalHospitalizationHospital MortalityHumansMaleRetrospective StudiesSystemic Inflammatory Response SyndromeAnti-Bacterial Agents

Identifiers

PMID35759274
PMCPMC9237797
OpenAlexW4283645914

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.