Evidence map›Paper›PMID 27965229›Full record

ArticleAmerican journal of critical care : an official publication, American Association of Critical-Care Nurses2016

Risk Factors for Bacteremia in Patients With Urinary Catheter-Associated Bacteriuria.

Laurie J Conway, Jianfang Liu, Anthony D Harris, Elaine L Larson

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in American journal of critical care : an official publication, American Association of Critical-Care Nurses, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Long-Term Outcomes of Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Laurie J ConwayLaurie J. Conway is an assistant professor, Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Canada. Jianfang Liu is a senior data analyst, Columbia University School of Nursing, New York, New York. Anthony D. Harris is a professor of epidemiology and public health, School of Medicine, University of Maryland, Baltimore. Elaine L. Larson is associate dean for research and professor of therapeutic and pharmaceutical research, School of Nursing, and professor of epidemiology, Mailman School of Public Health, Columbia University, New York, New York. laurie.conway@utoronto.ca.
Jianfang LiuLaurie J. Conway is an assistant professor, Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Canada. Jianfang Liu is a senior data analyst, Columbia University School of Nursing, New York, New York. Anthony D. Harris is a professor of epidemiology and public health, School of Medicine, University of Maryland, Baltimore. Elaine L. Larson is associate dean for research and professor of therapeutic and pharmaceutical research, School of Nursing, and professor of epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
Anthony D HarrisLaurie J. Conway is an assistant professor, Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Canada. Jianfang Liu is a senior data analyst, Columbia University School of Nursing, New York, New York. Anthony D. Harris is a professor of epidemiology and public health, School of Medicine, University of Maryland, Baltimore. Elaine L. Larson is associate dean for research and professor of therapeutic and pharmaceutical research, School of Nursing, and professor of epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
Elaine L LarsonLaurie J. Conway is an assistant professor, Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Canada. Jianfang Liu is a senior data analyst, Columbia University School of Nursing, New York, New York. Anthony D. Harris is a professor of epidemiology and public health, School of Medicine, University of Maryland, Baltimore. Elaine L. Larson is associate dean for research and professor of therapeutic and pharmaceutical research, School of Nursing, and professor of epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
University of Maryland, Baltimore · US

Funding

Duke University Molecular Imaging CenterR24CA092656 · NCI · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2001 to 2006
$3.7M
Small Animal Imaging Resource ProgramU24CA092656 · NCI · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2007 to 2011
$2.2M
Training in Interdisciplinary Research to Prevent Infections (TIRI)T32NR013454 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LARSON, ELAINE LUCILLE, SAIMAN, LISA · 2012 to 2017
$1.4M
Secondary Bacteremia in Patients with Catheter-Associated Urinary Tract InfectionF31NR014063 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CONWAY, LAURIE JEAN · 2013 to 2015
$58k
NCI NIH HHS R24 CA092656NCI NIH HHS U24 CA092656NINR NIH HHS F31 NR014063NINR NIH HHS T32 NR013454
6 · The paper itself

Abstract

backgroundCatheter-associated bacteriuria is complicated by secondary bacteremia in 0.4% to 4.0% of cases. The directly attributable mortality rate is 12.7%.

objectiveTo identify risk factors for bacteremia associated with catheter-associated bacteriuria.

methodsData were acquired from a large electronic clinical and administrative database of consecutive adult inpatient admissions to 2 acute care hospitals during a 7-year period. Data on patients with catheter-associated bacteriuria and bacteremia were compared with data on control patients with catheter-associated bacteriuria and no bacteremia, matched for date of admission plus or minus 30 days. Urine and blood cultures positive for the same pathogen within 7 days were used to define catheter-associated bacteriuria and bacteremia. Multivariable conditional logistic regression was used to determine independent risk factors for bacteremia.

resultsThe sample consisted of 158 cases and 474 controls. Independent predictors of bacteremia were male sex (odds ratio, 2.76), treatment with immunosuppressants (odds ratio, 1.68), urinary tract procedure (odds ratio, 2.70), and catheter that remained in place after bacteriuria developed (odds ratio, 2.75). Patients with enterococcal bacteriuria were half as likely to become bacteremic as were patients with other urinary pathogens (odds ratio, 0.46). Odds of secondary bacteremia increased 2% per additional day of hospital stay (95% CI, 1.01-1.04) and decreased 1% with each additional year of age (95% CI, 0.97-0.99).

conclusionsThe results add new information about increased risk for bacteremia among patients with catheters remaining in place after catheter-associated bacteriuria and confirm evidence for previously identified risk factors.

Indexed as

AgedAged, 80 and overAge FactorsBacteremiaBacteriuriaCatheter-Related InfectionsComorbidityCross InfectionFemaleHumansImmunocompromised HostIntensive Care UnitsLogistic ModelsMaleMiddle AgedOdds Ratio

Identifiers

PMID27965229
PMCPMC5160996
OpenAlexW2562339707

What OpenQuestion holds

Textmetadata
LicenceTDM
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.