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Nodular bronchiectatic Mycobacterium avium complex pulmonary disease: Natural course on serial computed tomographic scans

  • Sungkyunkwan University
  • Pusan National University

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)299-306
Number of pages8
JournalAnnals of the American Thoracic Society
Volume10
Issue number4
DOIs
StatePublished - Aug 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Bronchiectasis
  • Computed tomography
  • Mycobacterium avium
  • Natural history

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