Pneumatosis Intestinalis and Its Association With Lung Transplant: Alberta Experience.
Bibliographic record
Abstract
OBJECTIVES: We evaluated the incidence, clinical presentation, laboratory findings, possible causes, and outcomes associated with pneumatosis intestinalis in the setting of lung transplant. MATERIALS AND METHODS: A departmental database showed that, between October 2002 and August 2013, our institution performed 373 lung transplants. The database was queried for all patients who had pneumatosis intestinalis and/or pneumoperitoneum after lung transplant at our institution. For this retrospective chart review, information collected included demographics, baseline variables, symptoms, signs, laboratory parameters, radiologic work-up, medications, including immunosuppressants at presentation, progress and time to resolution, length of hospital stay, and postoperative complications, as well as short-term and midterm outcomes (up to 1 year). RESULTS: The incidence of pneumatosis intestinalis was 2.68% (10/373 patients). Mean age of patients was 52.2 years (range, 34.9-67.9 y). Mean time for development of pneumatosis intestinalis after transplant was 352.8 days (range, 5-2495 d). Abdominal symptoms and signs were present in 6 patients (60%). The large bowel was the site of involvement in all but 1 patient, with predilection for ascending colon (80%) and transverse colon (90%) in most patients. High serum lactate levels were found in 2 patients, and both underwent bowel resection, with surgical specimens revealing evidence of ischemic changes in the gut. Mean dose of prednisone was 22 mg at the time of presentation (range, 0-60 mg). Mean hospital length of stay was 16.9 days (range, 0-40 d). Short-term survival was 100%. Midterm survival at the end of 1 year was 80%. Mean time for pneumatosis to resolve was 18 days (range, 14-35 d). CONCLUSIONS: Pneumatosis intestinalis in bilateral lung transplant recipients can be treated with a minimal amount of imaging, and most patients can be treated conservatively. Survival outcomes are quite good, with 100% during the short term and 80% at 1 year in our series.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".