Risk Factors for Central Venous Catheter–Associated Bloodstream Infection in Pediatric Patients: A Cohort Study
Bibliographic record
Abstract
OBJECTIVE To examine the incidence of central-line-associated bloodstream infection (CLABSI) over time and to determine risk factors for CLABSI in hospitalized children. DESIGN Prospective cohort study. SETTING Pediatric tertiary care referral center in Halifax, Nova Scotia, serving a population of 2.3 million. PARTICIPANTS Patients ages 0-18 years with central venous catheters (CVCs) inserted at this facility between 1995 and 2013. METHODS Participants were followed from CVC insertion to CLABSI event or until CVC removal. Data were prospectively collected by clinicians, infection prevention and control staff, and nursing staff for the purposes of patient care, surveillance, and quality improvement. Cox proportional hazards regression was used to identify risk factors for CLABSI. RESULTS Among 5,648 patients, 385 developed CLABSI (0.74 CLABSI per 1,000 line days; or 3.87 per 1,000 in-hospital line days). Most infections occurred within 60 days of insertion. CLABSI rates decreased from 4.87 per 1,000 in-hospital line days in 1995 to 0.78 per 1,000 in-hospital line days in 2013, corresponding to an 84% reduction. A temporal association of CLABSI reduction with a hand hygiene promotion campaign was identified. CVC type, number of lumens, dressing type, insertion vein, and being in the critical care unit were statistically significantly associated with CLABSI. CONCLUSIONS Hospital-wide surveillance over an 18-year period identified children at highest risk for CLABSI and decreasing risk over time; this decrease was temporally associated with a hand hygiene campaign. Infect Control Hosp Epidemiol 2016;37:939-945.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".