Treatment for grade 4 peripheral intravenous infiltration with type 3 skin tears: A case report and literature review
Bibliographic record
Abstract
Grade 4 peripheral intravenous infiltration with skin tears has seldom been reported. On 4 August 2020, a 35-year-old female patient was admitted to the emergency department of our hospital because of postprandial abdominal pain for 2 hours. She was diagnosed with a severe acute pancreatitis with type II diabetes mellitus. On 7 August, a vein detained needle was inserted into the dorsal vein of her right foot to infuse drugs. On 9 August, a grade 4 infiltration, discoloured and bruised skin with a swollen area of 11 cm × 9 cm around the infusion part of her right foot, was discovered. The infusion was stopped immediately and the residual drug was aspirated at the infusion site. When removing the vein detained needle, the skin surrounding the infusion site on the right foot was torn by the adhesive dressing. The size of the skin tears was 6 cm × 3 cm (type 3). The patient was provided with appropriate dressing, manual lymphatic drainage, and surgical intervention. Two months later, she was fully recovered with no functional impairment of the affected foot. Timely local wound interventions could lead to a satisfactory outcome for severe peripheral intravenous infiltration with skin tears.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".