The fellows stitch: Large caliber venous hemostasis in pediatric practice
Bibliographic record
Abstract
OBJECTIVE: To analyze safety and efficiency of a subcutaneous figure of eight suture for hemostasis after large caliber venous sheath access in children. BACKGROUND: Vascular complications remain a significant cause of morbidity after pediatric cardiac catheterization. In an attempt to reduce such complications and yet improve lab efficiency and decrease length of stay, various techniques have been applied to improve time to hemostasis. METHODS: Prospectively recorded were vascular complications and hemostasis times in children where hemostasis was attempted using a figure of eight subcutaneous suture following large caliber venous cannulation. These were compared to a matched group achieving hemostasis using standard manual pressure techniques. Vascular ultrasound assessments were performed within 24 hr of hemostasis in both groups. RESULTS: Thirty-two subcutaneous sutures were placed in 26 children, mean weights 31.9 kg [median (range): 29.4 (8.4 to 96) kg], with a mean sheath French size of 9.2 [8; (6 to 22)], 11 >10 French, compared to 33 sheaths in 30 cases using manual compression, mean sheath French size 9.1 (9; (6 to 13), with 10 cases ≥10 French. The mean and median times to hemostasis were shorter in the suture group: 13.6 min (P < 0.05) and 10 min (P < 0.05), respectively. Vascular complication rate was also lower in the suture group (n = 0) compared with the control group (n = 2) but did not achieve statistical significance. CONCLUSIONS: A subcutaneous figure of eight suture hemostasis strategy can provide a safe and efficient method for large caliber venous hemostasis in a pediatric practice with improved hemostasis times and no additional morbidity.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".