The Evaluation of Central Venous Catheter-related Complications in Pediatric Acute Leukemia Patients: Single Center Experience
Bibliographic record
Abstract
Central venous catheters (CVCs) are important for maintenance of childhood leukemia treatment but CVCs may develop complications. The aim of this study was to retrospectively evaluate the CVC-related complication rate, complication types, and outcome in children with acute leukemia. Complications developing in 310 CVCs (ports n=250, Hickman catheters n=60) inserted in 262 patients were evaluated. A total of 225,296 catheter days were screened. Median (range) CVC in-dwelling time was 661.5 (1 to 2636) days. In total, 157 complications developed of which 91 (58%) were infectious complications, 35 (22.3%) were vascular, 19 (12.1%) were surgical, and 12 (7.6%) were mechanical. Hickman catheters had a higher complication rate and were more prone to mechanical complications ( P <0.01) but there was no difference for other complications. A lower absolute neutrophil count at insertion was observed in children with infectious complications ( P <0.01). Seventy-eight of 136 catheters (57.3%) had to be removed prematurely. The overall complication rate was 0.65 per 1000 catheter days. In multivariate analysis, relapse leukemia, Hickman catheter and low absolute neutrophil count increased complication risk by 4.00, 1.97, and 1.92 times, respectively. Five (1.9%) deaths occurred because of catheter complications. Safe use of CVCs can be improved by early detection of complications and an experienced catheter care team.
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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 | 0.003 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".