Ultrasound assessment of umbilical venous catheter migration in preterm infants: a prospective study
Bibliographic record
Abstract
OBJECTIVES: To evaluate the umbilical venous catheter (UVC) tip position by ultrasound and compare it with standard radiograph findings and to examine the catheter tip migration rates during the first week of life. DESIGN: Prospective observational study of inborn preterm infants who had an UVC placed and its position radiographically confirmed. The first ultrasound was done on UVC placement at median (IQR) age of 2 hours (1-4) and follow-up scans at a median (IQR) age of 34 hours (27-44 hours), 77 hours (70-94 hours) and 6 days (5-7 days) after insertion. Catheter tip was considered in optimum position if tip was lying in the inferior vena cava up to the right atrium opening. RESULTS: We studied 65 infants at a mean (±SD) gestational age and birth weight of 26.4 (±2.1) weeks and 808 (±289) g, respectively. Ultrasound confirmed optimum position of UVC tip in 25/65 (38.5%) infants. Majority (38/40) of the malpositioned catheters were located inside the heart with 15 reaching the left atrium. Catheter tip migration occurred in 29 of 58 infants (50%) at any time during the first week. The proportions of UVC migration were found to be 17%, 31% and 29% on subsequent ultrasound with a trend to outward movement over time. CONCLUSION: UVC tip localisation by standard radiography is very imprecise, and catheter tip migration occurs in a significant proportion of infants during first weeks of age. We suggest ultrasound as the best modality to assist localisation and follow-up of UVC tip in preterm infants.
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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 | 0.006 |
| 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 | 0.001 | 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".