Positive effects of <scp>ultrasound‐guided</scp> peripheral <scp>IV</scp> insertion on pediatric sickle cell anemia/thalassemia patients receiving automated red cell exchange procedures or chronic transfusion therapy
Bibliographic record
Abstract
BACKGROUND: Peripheral vascular access and venipuncture are major causes of distress and anxiety for children and their parents. This is especially difficult for patients with hemoglobinopathies (thalassemia major and sickle cell disease) who require chronic blood transfusions. These patients require peripheral venous access for regular blood transfusions and (in the case of sickle cell disease) for automated red cell exchange procedures. Peripheral intravenous (PIV) catheters are much preferred to central venous lines as they carry far fewer risks. However, when patients experience multiple unsuccessful attempts to initiate a PIV, it can be traumatizing and cause anxiety for future visits. Establishing therapeutic trust and ensuring a smooth experience are of paramount importance for these chronic patients who require regular blood transfusions. AIM: The purpose of this study was to determine whether ultrasound-guided PIV insertion decreases PIV-associated pain and anxiety, and whether the number of attempts and amount of time spent accessing PIVs in children with difficult peripheral intravenous (DPIV) access is reduced. MATERIALS AND METHODS: This was a pilot study with both retrospective and prospective components. Hemoglobinopathies are relatively rare in our population and our study cohort was small (N = 18). RESULTS: We identified four DPIV access patients. We recorded each time these patients had a PIV inserted as an encounter. DISCUSSION/CONCLUSION: We found that while there was a small amount of time gained by using ultrasound-guided PIV insertion, patient and parent satisfaction was significantly improved.
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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 | 0.000 | 0.000 |
| 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) | 0.003 | 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".