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Success of anti-infective therapy is a major challenge in some patients given anatomo-physiological changes and genetic variations. In this case anecdote, we report the management strategy of a patient suffering from chronic pulmonary aspergillosis in a context of anorexia nervosa and genetic polymorphism., (© 2018 The British Pharmacological Society.)

Background: Long-term antifungal therapy is usually the only treatment option for chronic pulmonary aspergillosis. However, response rates are difficult to compare because the reported clinical, mycologic, or radiologic criteria are not standardized. Objective parameters are therefore needed. To define the most relevant CT imaging variables in assessment of response to treatment, we investigated changes over time in CT imaging variables., Methods: Changes in CT imaging variables were assessed by systematic analysis of the CT scan findings of 36 patients at diagnosis and 6 months after initiation of treatment. The relevant radiologic variables were determined by selecting those showing significant changes over time. Two experienced thoracic radiologists, blinded for clinical and serologic response, independently performed CT scan analyses. Interreader agreement and concordance between radiologic and clinical response were evaluated., Results: Of the 36 patients, seven experienced clinical deterioration while undergoing therapy. Significantly evolving radiologic variables included cavity and pleural wall thickening (P < .05), which were associated with clinical improvement. There was a strong association between fungus ball disappearance and cavity/pleural wall thickening reduction and clinical improvement (P = .04). There was poor agreement between size changes of cavities or nodules, and clinical evolution (Cohen's κ, -0.13 to -0.24)., Conclusions: Variations in cavity and pleural wall thickness may be the most relevant CT imaging variables for assessing response to treatment. Loss of fungus ball is strongly associated with clinical and radiologic improvement, but cavity size changes are unrelated to chronic pulmonary aspergillosis evolution. All these CT imaging variables may be applied in future clinical trials to assess treatment outcome., (Copyright © 2016 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.)

Introduction: Our objective was to investigate characteristics risk factors and outcomes of patients with chronic pulmonary aspergillosis (CPA)., Methods: The Aspergillosis Committee prospectively collected Aspergillus notifications from January 2000 to December 2011. A retrospective analysis of data was performed., Results: Among 1614 notifications registered, 44 cases of CPA in non-immunocompromised patients were identified. The median age was 65 years (Q1-Q3: 54-75), the median body mass index (BMI) was 20 kg/m(2) (Q1-Q3: 16-22) and 15 had chronic obstructive pulmonary disease. All patients had a positive specific serum precipitin antibody titer. Radiological presentations were: cavitations [single n = 31 (70%); multiple n = 12 (27%)] containing mycetomas [n = 18 (41%)], consolidations [n = 19 (43%)], emphysema [n = 15 (34%)] and sequelae of mycobacterial infection [n = 10 (23%)]. The median duration of follow-up was 30 months (Q1-Q3: 14-55). The median duration of antifungal treatment was 6 months (Q1-Q3: 3-12). Outcomes were unfavorable in 14 patients, and 12 (27%) died. Analysis by multivariate Cox regression model with bootstrapping showed that a higher BMI and a lower Charlson index score were predictive of favorable evolution, hazard ratio (95% confidence interval): BMI (+1) = 0.83 (0.71-0.97), Charlson (+1) = 1.37 (1.01-1.85). When analyses were restricted to chronic CPA and chronic necrotizing pulmonary aspergillosis, the multivariate Cox regression model showed that both BMI and Charlson index score were not statistically significant., Conclusion: Our results provide data on clinical characteristics and outcomes of CPA emphasizing the role of preexisting chronic respiratory conditions and protective effect of preserved BMI and lower Charlson index score., (© 2014 John Wiley & Sons Ltd.)