Evidence map›Paper›PMID 36217111›Full record

ArticleBMC infectious diseases2022

Blood culture utilization practices among febrile and/or hypothermic inpatients.

Kap Sum Foong, Satish Munigala, Stephanie Kern-Allely, David K Warren

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

4 authors at 3 institutions in 1 country.

Kap Sum FoongDivision of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, MA, USA.
Satish MunigalaDivision of Infectious Diseases, Washington University School of Medicine Hospital Epidemiologist, Barnes-Jewish Hospital, 4523 Clayton Ave., Campus Box 8051, 63110, Saint Louis, MO, USA.
Stephanie Kern-AllelyDepartment of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
David K WarrenDivision of Infectious Diseases, Washington University School of Medicine Hospital Epidemiologist, Barnes-Jewish Hospital, 4523 Clayton Ave., Campus Box 8051, 63110, Saint Louis, MO, USA. dwarren@wustl.edu.
Barnes-Jewish Hospital · USTufts Medical Center · USWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPredictors associated with the decision of blood culture ordering among hospitalized patients with abnormal body temperature are still underexplored, particularly non-clinical factors. In this study, we evaluated the factors affecting blood culture ordering in febrile and hypothermic inpatients.

methodsWe performed a retrospective study of 15,788 adult inpatients with fever (≥ 38.3℃) or hypothermia (< 36.0℃) from January 2016 to December 2017. We evaluated the proportion of febrile and hypothermic episodes with an associated blood culture performed within 24h. Generalized Estimating Equations were used to determine independent predictors associated with blood culture ordering among febrile and hypothermic inpatients.

resultsWe identified 21,383 abnormal body temperature episodes among 15,788 inpatients (13,093 febrile and 8,290 hypothermic episodes). Blood cultures were performed in 36.7% (7,850/ 21,383) of these episodes. Predictors for blood culture ordering among inpatients with abnormal body temperature included fever ≥ 39℃ (adjusted odd ratio [aOR] 4.17, 95% confident interval [CI] 3.91-4.46), fever (aOR 3.48, 95% CI 3.27-3.69), presence of a central venous catheter (aOR 1.36, 95% CI 1.30-1.43), systemic inflammatory response (SIRS) plus hypotension (aOR 1.33, 95% CI 1.26-1.40), SIRS (aOR 1.26, 95% CI 1.20-1.31), admission to stem cell transplant / medical oncology services (aOR 1.09, 95% CI 1.04-1.14), and detection of abnormal body temperature during night shift (aOR 1.06, 95% CI 1.03-1.09) or on the weekend (aOR 1.05, 95% CI 1.01-1.08).

conclusionBlood culture ordering for hospitalized patients with fever or hypothermia is multifactorial; both clinical and non-clinical factors. These wide variations and gaps in practices suggest opportunities to improve utilization patterns.

Indexed as

HypothermiaAdultBlood CultureFeverHumansInpatientsRetrospective StudiesSystemic Inflammatory Response SyndromeAnd diagnostic utilityBlood culturesFebrile illnessHypothermia

Identifiers

PMID36217111
PMCPMC9552399
OpenAlexW4304142922

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.