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Record W2337467640 · doi:10.1093/ofid/ofv131.92

Do Intra-abdominal Conditions Represent an Independent Risk Factor for Central Line Associated Bloodstream Infections (CLABSI) in the NICU?

2015· article· en· W2337467640 on OpenAlexaboutno aff
Maya Dahan, Shauna O’Donnell, Julie Hébert, Milagros Gonzales, Bonita E. Lee, A. Uma Chandran, Samantha Woolsey, Sandra Excoredo, Heather Chinnery, Caroline Quach, PICNIC Investigators

Bibliographic record

VenueOpen Forum Infectious Diseases · 2015
Typearticle
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBloodstream infectionCentral linePathogenic organismIntensive care medicineBacteremiaRisk factorInternal medicineAntibioticsMicrobiology

Abstract

fetched live from OpenAlex

Background. Central line-associated bloodstream infections (CLABSI) impact infants' outcomes. Our aim was to determine if intra-abdominal pathologies are an independent risk factor for CLABSI. Methods. We performed a case-control study of infants admitted to the NICUs of the Montreal Children's Hospital (Montreal) and the Royal Alexandra Hospital (Edmonton), Canada. CLABSI cases that occurred between April 2009 and March 2014 were identified through the Infection Control database. For each case, up to 3 controls were matched (NHSN birth weight category, chronological age, and central venous catheter (CVC) dwell time at the time of case's CLABSI onset). Data were analyzed using conditional logistic regression (STATA 13.1). Results. We identified 120 cases and 293 controls; 51 cases (43%) were <28 weeks gestation (median GA: 29 weeks); 24 (20%) had a birth weight of <750 grams (median BW: 1105 grams) and 76 (63%) were males. At CLABSI onset, median CVL dwell time was 10 days and median patient age was 18.5 days. Primary diagnosis among cases was prematurity 47 (39%) followed by intra-abdominal pathologies 27 (23%). Overall, 27 % of cases (n = 32) had one or more active intra-abdominal pathologies in the week preceding CLABSI onset, compared with 11% (n = 33) controls. In infants without an arterial line, 30% of cases (n = 31/102) and 9% of controls (n = 23/247) had > 3 heel punctures in the 48 hours before CLABSI onset. On matched univariate analysis, the following variables were significant risk factors for CLABSI: active intra-abdominal pathology (OR = 3.4; 95% CI, 1.8–6.4), abdominal surgery in the prior 7 days (OR = 3.6; 95% CI, 1.0–13.0); male sex (OR = 1.7; 95% CI, 1.1–2.6) and >3 heel punctures (OR = 4.0; 95% CI, 1.9–8.3). On multivariable matched analysis, intra-abdominal pathology (OR = 4.6; 95% CI, 2.1–10.1), >3 heel punctures (OR = 5.0; 95% CI, 2.3–10.9) and male sex (OR = 1.8; 95% CI, 1.01–3.2) remained independent risk factors for CLABSI. Conclusion. The presence of an active intra-abdominal pathology increases the risk of CLABSI by >4-fold. Similarly to CLABSI in oncology patients, a subgroup of CLABSI with mucosal barrier injury may be considered for infants in the NICU with active intra-abdominal pathology. Disclosures. All authors: No reported disclosures.

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)0.001
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 score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.038
GPT teacher head0.352
Teacher spread0.314 · 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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