Evidence map›Paper›PMID 30668737›Full record

ArticleJournal of burn care & research : official publication of the American Burn Association2019

Specific Patterns of Postoperative Temperature Elevations Predict Blood Infection in Pediatric Burn Patients.

Jonah Poster, Chris Chu, Joan M Weber, Martha Lydon, Maggie Dylewski, Korkut Uygun, Robert L Sheridan

Open access · bronzeAbstract read
In one paragraph

Article in Journal of burn care & research : official publication of the American Burn Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Jonah PosterClinical Research Department, Shriners Hospitals for Children - Boston, Boston, Massachusetts.
Chris ChuClinical Research Department, Shriners Hospitals for Children - Boston, Boston, Massachusetts.
Joan M WeberClinical Research Department, Shriners Hospitals for Children - Boston, Boston, Massachusetts.
Martha LydonClinical Research Department, Shriners Hospitals for Children - Boston, Boston, Massachusetts.
Maggie DylewskiClinical Research Department, Shriners Hospitals for Children - Boston, Boston, Massachusetts.
Korkut UygunClinical Research Department, Shriners Hospitals for Children - Boston, Boston, Massachusetts.
Robert L SheridanClinical Research Department, Shriners Hospitals for Children - Boston, Boston, Massachusetts.
Shriners Hospitals for Children - Boston · USMassachusetts General Hospital · US

Funding

Metabolic Modeling for Cadaveric Organ ResuscitationR01DK096075 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI UYGUN, KORKUT, YEH, HEIDI · 2012 to 2022
$3.9M
NIDDK NIH HHS R01 DK096075
6 · The paper itself

Abstract

Using readily available temperature data, we seek to propose a scoring criteria that can facilitate accurate and immediate prediction of blood infection. The standard in diagnosing blood infection is a positive blood culture result that may take up to 3 days to process, requiring providers to make a prediction about which febrile patient is actually bacteremic. This prediction is difficult in burned children as systemic inflammation can cause fever in the absence of infection. An ability to make this prediction more accurate using readily available information would be useful. A retrospective chart review was performed for 28 pediatric patients, with a burn size 20% or greater, admitted to the burn unit between 2010 and 2014. All children had blood cultures drawn. They were divided into either infection (positive blood cultures) or control (negative blood cultures) groups. Median temperature and mean number of temperature elevations were compared between the two groups. We evaluated the predictive accuracy of using temperature elevation, pattern, and timing to predict blood infection. A significant difference was seen in the mean number of temperature elevations above 39°C. This was significant for each time stage, especially in the 0- to 24-hour post-surgery period. We found the most predictive accuracy in the 0- to 12-, 12- to 38-, and 12- to 48-hour time periods. We found a strong association between mean number of fever spikes above 39°C and blood infection, especially 12 to 24 hours after surgery. This readily available data can be useful to clinicians as they access children with burns.

Indexed as

BacteremiaBurnsBurn UnitsChildFeverHumansInfantMalePostoperative ComplicationsPredictive Value of TestsRetrospective Studies

Identifiers

PMID30668737
PMCPMC6382406
OpenAlexW2909918287

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.