Abstract
Rationale: Existing literature is inconclusive regarding how the nodular bronchiectatic form of Mycobacterium avium complex (MAC) disease will progress without treatment and when treatment initiation should be considered. Objectives: To assess the natural course of MAC pulmonary disease by serial thin-section computed tomography (CT). Methods: Of 339 patients with nodular bronchiectatic form of MAC disease, we selected 265 untreated patients who had serial CTs (mean observation period, 32 6 21 mo). Two independent chest radiologists reviewed retrospectively all CT scans for the presence and extent of lung abnormalities (maximal total score, 30). Measurements and Main Results: Of 265 patients, 126 patients (48%) had disease that had progressed and that needed treatment owing to radiologic deterioration or worsening symptoms, and the remaining 139 patients (52%) did not. On multivariate analysis, the presence of cavity (adjusted hazard ratio, 2.06;P = 0.004) and consolidation (adjusted hazard ratio, 1.55; P = 0.019) at initial CTremained as independent factors associated with disease progression and treatment requirement. The presence of cavitary lesions demonstrated the highest positive predictive value (61%) and significant correlation (P = 0.005)with smear positivity.Differences in the extent of each pattern and total CT score in the serial studies were significantly larger (P <0.05) in patients requiring treatment. The total CT score increased by 2.41 in the treatment-requiring group compared with 0.25 in the group that did not receive treatment. Conclusions:Without treatment, about half of patients demonstrate progressive disease on serial CT over a mean follow-up period of 32 months and, thus, required treatment. Patients showing cavities or consolidation on initial CT are more likely to have progressive disease and thus to require treatment eventually.
| Original language | English |
|---|---|
| Pages (from-to) | 299-306 |
| Number of pages | 8 |
| Journal | Annals of the American Thoracic Society |
| Volume | 10 |
| Issue number | 4 |
| DOIs | |
| State | Published - Aug 2013 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Bronchiectasis
- Computed tomography
- Mycobacterium avium
- Natural history
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