A Case Series of Appendicitis and Pseudo-appendicitis in a Paediatric Intensive Care Unit
Bibliographic record
Abstract
INTRODUCTION: Appendicitis is a common childhood condition that can be diagnostically challenging. Severe cases may necessitate support in the critical or intensive care unit. These "critical appendicitis diagnoses" have rarely been described. CASE DESCRIPTION: We retrospectively reviewed the Paediatric Intensive Care Unit (PICU) database of the Hong Kong Children's Hospital and identified cases of suspected and confirmed appendicitis. Clinical features, radiologic findings and final diagnosis of each case were summarized and reported in this case series. We review six anonymized cases of appendicitis managed in a PICU to illustrate the different age spectrum and clinical manifestations of the condition. Rupture of the inflamed appendix, peritonitis and pancreatitis were some of the complications encountered. Crohn's disease was found in one case as an underlying diagnosis. Also, one girl clinically diagnosed with appendicitis was found to be a case of ruptured hepatoblastoma with no appendicitis (i.e., pseudoappendicitis). CONCLUSION: Prompt diagnosis, surgical removal of the inflamed appendix, and use of appropriate antimicrobials when indicated are essential in reducing mortality and morbidity associated with severe appendicitis. Significant premorbid conditions such as acute myeloid leukemia, Mitochondrial Encephalopathy Lactic Acidosis Syndrome (MELAS), inflammatory bowel disease and complications may be present in patients needing intensive care as is illustrated in the present cases. Pseudoappendicitis is an important differential diagnosis. Imaging is crucial and useful in establishing and confirming the diagnosis of appendicitis and pseudo-appendicitis in these PICU cases.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".