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Lessons from Mycobacterium avium complex-associated pneumonitis: a case report

Overview of attention for article published in Journal of Medical Case Reports, May 2008
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Title
Lessons from Mycobacterium avium complex-associated pneumonitis: a case report
Published in
Journal of Medical Case Reports, May 2008
DOI 10.1186/1752-1947-2-152
Pubmed ID
Authors

Victor Zota, Sheryn M Angelis, Armando E Fraire, Ciaran McNamee, Shasta Kielbasa, Daniel H Libraty

Abstract

Mycobacterium avium complex (MAC) is an increasingly recognized cause of pulmonary disease in immunocompetent individuals. An acute form of MAC lung disease, MAC-associated pneumonitis, has generally been associated with the use of hot tubs. There is controversy in the literature about whether MAC-associated pneumonitis is a classic hypersensitivity pneumonitis or is a direct manifestation of mycobacterial infection. We report the second case in the literature of MAC-associated pneumonitis not related to the use of hot tubs. The source of MAC in a 52-year-old immunocompetent patient was an intrapulmonary cyst containing numerous acid-fast bacilli. The patient developed disseminated miliary nodules throughout both lung fields. Histological examination of resected lung tissue revealed well-formed, acid-fast negative granulomas composed predominantly of CD4+ T-cells and CD68+ histiocytes. The granulomas were strongly positive for tumor necrosis factor-alpha, a pro-inflammatory cytokine. The attempt to classify MAC-associated pneumonitis as either a classic hypersensitivity pneumonitis or a direct manifestation of mycobacterial infection is not particularly useful. Our case demonstrates that MAC-associated pneumonitis is characterized by a vigorous T-helper 1-like, pro-inflammatory, immune response to pulmonary mycobacterial infection. The immunopathology provides a rationale for clinical studies of anti-MAC therapy with the addition of anti-inflammatory agents (for example, corticosteroids) to hasten the resolution of infection and symptoms.

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Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 41%
Student > Master 4 24%
Student > Doctoral Student 1 6%
Researcher 1 6%
Unknown 4 24%
Readers by discipline Count As %
Medicine and Dentistry 9 53%
Computer Science 1 6%
Veterinary Science and Veterinary Medicine 1 6%
Immunology and Microbiology 1 6%
Neuroscience 1 6%
Other 0 0%
Unknown 4 24%