Risk factors for central line-associated bloodstream infection in a pediatric cardiac intensive care unit
Bibliographic record
Abstract
OBJECTIVE: To identify risk factors for central line-associated bloodstream infection (BSI) in patients receiving care in a pediatric cardiac intensive care unit. DESIGN: Matched case-control study. SETTING: CICU at Children's Hospital Boston. PATIENTS: Central line-associated BSI cases were identified between April 2004 and December 2006. We identified two randomly selected control patients who had a central vascular catheter and were admitted within 7 days of each index case. MEASUREMENTS AND MAIN RESULTS: Univariate and multivariate conditional logistic regression analyses were used to identify risk factors for central line-associated BSI. In a secondary analysis, risk factors for central line-associated BSI in those cases who underwent cardiac surgery were sought. During the study period, 67 central line-associated BSIs occurred in 61 patients. Independent risk factors for central line-associated BSI were nonelective admission for medical management (odds ratio [OR] = 6.51 [1.58-26.78]), the presence of noncardiac comorbidities (OR = 4.95 [1.49-16.49]), initial absolute neutrophil count <5000 cells/uL (OR = 6.17 [1.39-27.48]), blood product exposure > or =3 units (OR = 5.56 [1.35-22.87]), central line days > or =7 (OR = 6.06 [1.65-21.83]), and use of hydrocortisone (OR = 28.94 [2.55-330.37]). In those patients who underwent cardiac surgery (n = 37 cases and 108 controls), independent risk factors for central line-associated BSI were admission weight < or =5 kg (OR = 3.13 [1.01-9.68]), Pediatric Risk of Mortality III score > or =15 (OR = 3.44 [1.19-9.92]), blood product exposure > or =3 units (OR = 3.38 [1.28-11.76]), and mechanical ventilation for > or =7 days (OR = 4.06 [1.33-12.40]). CONCLUSIONS: Unscheduled medical admissions, presence of noncardiac comorbidities, extended device utilization, and specific medical therapies are independent risk factors for central line-associated BSI in patients receiving care in a pediatric cardiac intensive care unit.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".