Evidence map›Paper›PMID 33324723›Full record

ArticleOpen forum infectious diseases2020

Assessment of Testing and Treatment of Asymptomatic Bacteriuria Initiated in the Emergency Department.

Lindsay A Petty, Valerie M Vaughn, Scott A Flanders, Twisha Patel, Anurag N Malani, David Ratz, Keith S Kaye, Jason M Pogue, Lisa E Dumkow, Rama Thyagarajan and 5 more

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  5. Article
  6. Article
  7. Impact of a Pharmacist-Led Emergency Department Urinary Tract Infection Aftercare Program.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 1 country.

Lindsay A PettyInternal Medicine, Division of Infectious Diseases, University of Michigan, Ann Arbor, Michigan, USA.
Valerie M VaughnInternal Medicine, Division of General Internal Medicine, University of Utah Medical School, Salt Lake City, Utah, USA.
Scott A FlandersInternal Medicine, Division of Hospital Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Twisha PatelDepartment of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA.
Anurag N MalaniInternal Medicine, Division of Infectious Diseases, St. Joseph Mercy Health System, Ann Arbor, Michigan, USA.
David RatzInternal Medicine, Division of Hospital Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Keith S KayeInternal Medicine, Division of Infectious Diseases, University of Michigan, Ann Arbor, Michigan, USA.
Jason M PogueDepartment of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA.
Lisa E DumkowDepartment of Pharmacy, Mercy Health Saint Mary's, Grand Rapids, Michigan, USA.
Rama ThyagarajanDepartment of Medicine, University of Texas, Austin, Texas, USA.
Lama M HsaikyDepartment of Pharmacy, Beaumont Hospital, Dearborn, Michigan, USA.
Danielle OsterholzerInternal Medicine, Division of Infectious Diseases, Hurley Medical Center, Flint, Michigan, USA.
Steven L KronickDepartment of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Elizabeth McLaughlinInternal Medicine, Division of Hospital Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Tejal N GandhiInternal Medicine, Division of Infectious Diseases, University of Michigan, Ann Arbor, Michigan, USA.
University of Michigan–Ann Arbor · USBeaumont Hospital, Royal Oak · USHurley Medical Center · USMercy Health Saint Mary's · USMercy Health System · USThe University of Texas at Austin · USUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReducing antibiotic use in patients with asymptomatic bacteriuria (ASB) has been inpatient focused. However, testing and treatment is often started in the emergency department (ED). Thus, for hospitalized patients with ASB, we sought to identify patterns of testing and treatment initiated by emergency medicine (EM) clinicians and the association of treatment with outcomes.

methodsWe conducted a 43-hospital, cohort study of adults admitted through the ED with ASB (February 2018-February 2020). Using generalized estimating equation models, we assessed for (1) factors associated with antibiotic treatment by EM clinicians and, after inverse probability of treatment weighting, (2) the effect of treatment on outcomes.

resultsOf 2461 patients with ASB, 74.4% (N = 1830) received antibiotics. The EM clinicians ordered urine cultures in 80.0% (N = 1970) of patients and initiated treatment in 68.5% (1253 of 1830). Predictors of EM clinician treatment of ASB versus no treatment included dementia, spinal cord injury, incontinence, urinary catheter, altered mental status, leukocytosis, and abnormal urinalysis. Once initiated by EM clinicians, 79% (993 of 1253) of patients remained on antibiotics for at least 3 days. Antibiotic treatment was associated with a longer length of hospitalization (mean 5.1 vs 4.2 days; relative risk = 1.16; 95% confidence interval, 1.08-1.23) and

conclusionsAmong hospitalized patients ultimately diagnosed with ASB, EM clinicians commonly initiated testing and treatment; most antibiotics were continued by inpatient clinicians. Antibiotic treatment was not associated with improved outcomes, whereas it was associated with prolonged hospitalization and CDI. For best impact, stewardship interventions must expand to the ED.

Indexed as

bacteriuriaemergency medicinestewardshipurinary tract infection

Identifiers

PMID33324723
PMCPMC7724506
OpenAlexW3095444300

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.