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Record W2921950043 · doi:10.1093/jcag/gwz006.239

A240 ANTIMICROBIAL LOCK SOLUTIONS FOR PREVENTION OF CENTRAL VENOUS CATHETER INFECTIONS IN PEDIATRIC PATIENTS WITH INTESTINAL FAILURE

2019· article· en· W2921950043 on OpenAlexaff
Bradford W. Gibson, Claire McNiven, Meghan Sebastianski, Robin Featherstone, Ben Vandermeer, Rabindranath Persad, Joan Robinson

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineIntestinal failureIntensive care medicineCatheterCentral venous catheterParenteral nutritionPopulationCohortSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Children with intestinal failure are dependent on total parenteral nutrition (TPN) via a central venous catheter (CVC) for survival. These patients require long-term use of CVCs, and are at high risk of catheter-related bloodstream infections (CRBSIs). Prevention of these infections is imperative, as they result in line removal and loss of an access site. Eventually there may be no available sites for a CVC, and a child will need an intestinal transplant. Antimicrobial locks (AML) are solutions instilled in CVCs to prevent CRBSI. Presently, there are many different solutions available, and limited evidence guiding the optimal choice, frequency, and duration of prophylactic AML solution in children with intestinal failure. A guideline for appropriate prophylactic AML use has the potential to decrease rates of CRBSIs and reduce morbidity and mortality in pediatric intestinal failure patients. In children with intestinal failure who require a CVC, does using an AML solution decrease the rate of new CRBSI? A systematic review of available literature on AMLs used for CRBSI prophylaxis in children with intestinal failure will be performed to determine the optimal AML(s) choice(s) for use in this population. Randomized and nonrandomized trials, case studies, and cohort studies that use comparator groups (including historical controls) with study participants including children (age 0–17) with intestinal failure, who have a CVC (2 days or greater) for TPN will be screened. If the data is sufficiently homogenous, both clinically and methodologically, we will pool outcomes in a meta-analysis using a DerSimonian Laird random effects model. If possible we also plan to do network meta-analyses (NMA), simultaneously pooling common outcomes across multiple interventions. The primary outcomes of interest are the rate of new CRBSI with AML versus controls, as well as a comparison of each type of AML versus controls. Secondary outcomes that will be assessed include: unplanned CVC removal (all cause), CVC removal due to CRBSI, recurrence of CRBSI with the same pathogen, all adverse events/side effects attributed to antimicrobial lock solutions by the authors, development of infections with antibiotic resistance at any point (in particular resistance to antibiotics used in the AML solution), length of hospital stay attributed to CRBSI, need for intensive care, any other morbidities or outcomes that were compared in cases and controls and mortality. This research in progress aims to provide clinicians with guidance on the use of AML for prophylaxis of CRBSI in pediatric patients with intestinal failure. We will provide data for the efficacy of this practice and clarify which solutions have the best outcomes. None

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0170.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.251
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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