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Record W2803816036 · doi:10.1093/pch/pxy054.149

Assessing effect of catheter type and position on central line-associated bloodstream infections in the NICU

2018· article· en· W2803816036 on OpenAlexaffabout
Ariane Léveillée, Anie Lapointe, Christian Lachance, Myriam Descarries, Julie Autmizguine, Josée Dubois, Ahmed Moussa

Bibliographic record

VenuePaediatrics & Child Health · 2018
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsCentral lineMedicineGestational ageCatheterBloodstream infectionBirth weightCentral venous catheterRetrospective cohort studyPediatricsLow birth weightPeripherally inserted central catheterCohortSurgeryInternal medicinePregnancyBiology

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Central venous catheter usage in NICU remains associated with serious complications such as bloodstream infection. Also, low position (underdiaphragmatic) of umbilical venous catheter (UVC) is tolerated despite not recommended. To our knowledge, no previous study assessed the effect of such a position on central line associated bloodstream infections (CLABSI) rates in the NICU. OBJECTIVES The primary objectives of this study were to assess global CLABSI rates for each central catheter subtype and position, and specific rates according to birth weight and gestational age. Dwell time before infection and microorganisms involved were also evaluated. DESIGN/METHODS For this retrospective cohort study, all neonates hospitalized in Level 3 NICU, from April 1st 2011 to March 31st 2016, in whom a central line was inserted, were included. Data about catheter insertion, demographic characteristics and bloodstream infections was extracted from local CVC database, local CLABSI database, patient medical record, post catheter insertion X-rays and Canadian Neonatal Network database. Difference in CLABSI rates and type of microorganisms involved were analyzed using Cox regression and Chi2. Difference in dwell time was analyzed using a one-way ANOVA and evolution in time of the proportion of each type of catheter presented as observational data. RESULTS A total of 1577 neonates were included and 2440 CVC were studied. Median gestational age (GA) was 30 2/7 [26 6/, 37] weeks and birth weight (BW) was 1310 [680, 2796] g. Of the 2440 neonates, 1308 were boys (53.6%). There was a total of 197 CLABSI. Total number of catheter days over the study period was 23 479 days. CLABSI rate for high UVC was 11.49 per 1000 catheter days compared to 6.92 for PICC line (p < 0.001) and 5.14 for femoral CVC (p = 0.008). CLABSI rate for low UVC was 17.31 per 1000 catheter days (p = 0.002 when compared to high UVC). Median dwell time before infection is 7 days for high UVC, 5 days for low UVC and 11 days for PICC (p < 0.001). Microorganism involved in CLABSI was a majority of Coagulase-negative Staphylococcus in 57.1–71.9% without a statistically significant difference between groups (p= 0.33). CONCLUSION Evolution of CVC usage over years remained stable. CLABSI rates are significantly higher with all UVC compared with PICC line and femoral CVC, particularly for newborn < 1500g and < 32 weeks of GA. Low UVC are associated to higher CLABSI rates than high UVC. Health professionals should be cautious with indwelling UVC, especially when in low position. They might conisder replacing low lines by a PICC as soon as possible.

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)0.002
metaresearch head score (Gemma)0.008
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.360
Teacher spread0.338 · 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

Citations3
Published2018
Admission routes2
Has abstractyes

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