Wilson–Mikity syndrome: Updated diagnostic criteria based on nine cases and a review of the literature
Bibliographic record
Abstract
BACKGROUND: Nearly 50 years ago, Wilson and Mikity described a syndrome (WMS) of chronic lung disease (CLD) in premature infants, characterized by early development of cystic interstitial emphysema (PIE), despite minimal ventilatory support. The validity of the diagnosis is currently unclear; now considered either an anachronism, part of BPD spectrum or included within various poorly defined diagnoses such as chronic pulmonary insufficiency of prematurity (CPIP). OBJECTIVES: To define clinically useful diagnostic criteria for WMS so its position in the spectrum of CLD of infancy can be established. METHODS: We studied nine patients who fulfilled WMS criteria, combining this data with a detailed review of the available literature. RESULTS: Despite minimal respiratory support at birth, all developed generalized or lobar cystic PIE by 3 weeks of age, followed by slow inflammatory progression over a further 2-3 months. Final outcome was variable but most were left with some degree of CLD. CONCLUSIONS: WMS is a rare but clearly identifiable syndrome with significant morbidity, predominantly affecting infants below 1,500 g birth weight. The earliest pathology appears to be alveolar air leak. Inflammatory activation induced by cystic interstitial air may cause the subsequent progressive respiratory disease. Management is supportive but should include investigation for pulmonary hypertension.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".