Patient With COPD-Asthma Overlap Detected by Sputum Eosinophilia
Bibliographic record
Abstract
A 70-year-old man was diagnosed with COPD. He reported symptoms of nocturnal shortness of breath, cough and wheezing in the last time; however, he had never had asthma. Despite the treatment and the pulmonary rehabilitation, our patient referred the persistence of the symptoms. In a research screening of differential cellular count in the induced sputum in patients with COPD, we found that his sample showed high percentage of eosinophils. Due to this finding, we started to study him. Peripheral eosinophilia, FeNO and IgE were also found to be elevated. In the last years, he had chronic rhinitis. Besides, the reversibility of lung function after bronchodilators was observed. The algorithms to diagnose asthma-COPD overlap syndrome (ACOS) include positive bronchodilator response, sputum eosinophilia or previous diagnosis of asthma, high IgE and/or history of atopy. Our patient was diagnosed with ACOS, and the sputum findings have contributed to the modification of his treatment and lead to a clinical improvement and reduction of the symptoms. J Med Cases. 2015;6(12):544-546 doi: http://dx.doi.org/10.14740/jmc2348w
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".