Evidence map›Paper›PMID 32040837›Full record

ArticleJournal of general internal medicine2020

Adherence to the SEP-1 Sepsis Bundle in Hospital-Onset v. Community-Onset Sepsis: a Multicenter Retrospective Cohort Study.

Jonathan D Baghdadi, Mitchell D Wong, Daniel Z Uslan, Douglas Bell, William E Cunningham, Jack Needleman, Russell Kerbel, Robert Brook

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Journal of general internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. SepsisJournal of medical microbiology · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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
  11. Article
  12. Article
  13. Article
  14. Should hospital-onset Adult Sepsis Event surveillance be routine… or even mandatory?Antimicrobial stewardship & healthcare epidemiology : ASHE · 2022
    Article
  15. Article
  16. 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

8 authors at 3 institutions in 1 country.

Jonathan D BaghdadiDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA. jbaghdadi@som.umaryland.edu.
Mitchell D WongUCLA Division of General Internal Medicine, Los Angeles, CA, USA.
Daniel Z UslanUCLA Division of Infectious Diseases, Los Angeles, CA, USA.
Douglas BellUCLA Division of General Internal Medicine, Los Angeles, CA, USA.
William E CunninghamUCLA Fielding School of Public Health, Department of Health Policy and Management, Los Angeles, CA, USA.
Jack NeedlemanUCLA Fielding School of Public Health, Department of Health Policy and Management, Los Angeles, CA, USA.
Russell KerbelUCLA Department of Medicine, Los Angeles, CA, USA.
Robert BrookUCLA Department of Medicine, Los Angeles, CA, USA.
University of California, Los Angeles · USUCLA Health · USUniversity of Maryland, Baltimore · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
6 · The paper itself

Abstract

backgroundSepsis is the leading cause of in-hospital death. The SEP-1 sepsis bundle is a protocol for early sepsis care that requires providers to diagnose and treat sepsis quickly. Limited evidence suggests that adherence to the sepsis bundle is lower in cases of hospital-onset sepsis.

objectiveTo compare sepsis bundle adherence in hospital-onset vs. community-onset sepsis.

designRetrospective cohort study using multivariable analysis of clinical data.

participantsA total of 4658 inpatients age 18 or older were identified by diagnosis codes consistent with sepsis or disseminated infection.

settingFour university hospitals in California between 2014 and 2016. MAIN OUTCOMES AND MEASURES: The primary outcome was adherence to key components of the sepsis bundle defined by the Centers for Medicare and Medicaid Services in their core measure, SEP-1. Covariates included clinical characteristics related to the patient, infection, and pathogen. KEY

resultsCompared with community-onset, cases of hospital-onset sepsis were less likely to receive SEP-1 adherent care (relative risk 0.33, 95% confidence interval 0.29-0.38, p < 0.001). With the exception of vasopressors (RR 1.11, p = 0.002), each component of SEP-1 evaluated-blood cultures (RR 0.76, p < 0.001), serum lactate (RR 0.51, p < 0001), broad-spectrum antibiotics (RR 0.62, p < 0.001), intravenous fluids (0.47, p < 0.001), and follow-up lactate (RR 0.71, p < 0.001)-was less likely to be performed within the recommended time frame in hospital-onset sepsis. Within the hospital, cases of hospital-onset sepsis arising on the ward were less likely to receive SEP-1-adherent care than were cases arising in the intensive care unit (RR 0.68, p = 0.004).

conclusionsInpatients with hospital-onset sepsis receive different management than individuals with community-onset sepsis. It remains to be determined whether system-level factors, provider-level factors, or factors related to measurement explain the observed variation in care or whether variation in care affects outcomes.

Indexed as

MedicareSepsisAdolescentAgedGuideline AdherenceHospital MortalityHospitalsHumansRetrospective StudiesUnited Statescritical carehealth services researchhospital medicineinfectious diseaseperformance measurement

Identifiers

PMID32040837
PMCPMC7174506
OpenAlexW3005561362

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.