Clinical and Microbiologic Outcomes in Patients Receiving Treatment for Mycobacterium abscessus Pulmonary Disease
Bibliographic record
Abstract
BACKGROUND: Mycobacterium abscessus can produce a chronic pulmonary infection for which little is known regarding optimal treatment and long-term outcomes. METHODS: We performed a retrospective observational study (2001-2008) including all patients who met American Thoracic Society criteria for M. abscessus pulmonary disease. Our aim was the evaluation of clinical and microbiologic outcomes in patients treated with combined antibiotic and surgical therapy, compared with antibiotic therapy alone. RESULTS: A total of 107 patients were included in the analysis. Patients were predominantly female (83%) and never-smokers (60%), with a mean age of 60 years. Fifty-nine (55%) of 107 patients had coexistent or previous history of Mycobacterium avium complex pulmonary infection. High-resolution chest CT showed bronchiectasis and nodular opacities in 98% of patients and cavities in 44%. Sixty-nine (46 medical, 23 surgical) patients were followed up for a mean duration of 34 months (standard deviation, 21.1 months, range, 2-82 months). Cough, sputum production, and fatigue remained stable, improved, or resolved in 80%, 69%, and 59% of patients, respectively. Twenty (29%) of 69 patients remained culture positive, 16 (23%) converted but experienced relapse, 33 (48%) converted to negative and did not experience relapse, and 17 (16%) died during the study period. There were significantly more surgical patients than medical patients whose culture converted and remained negative for at least 1 year (57% vs 28%; P = .022). CONCLUSIONS: Patients with M. abscessus pulmonary disease who are treated with multidrug antibiotic therapy and surgery or antibiotic therapy alone had similar clinical outcomes. However, surgical resection, in addition to antibiotics, may offer a prolonged microbiologic response.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".