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Exacerbating factors in elderly patients with Mycobacterium avium complex pulmonary disease

Published online by Cambridge University Press:  27 April 2021

Norio Kodaka
Affiliation:
Division of Respiratory Medicine, Department of Internal Medicine, Toho University Ohashi Medical Center, Tokyo, Japan
Chihiro Nakano
Affiliation:
Division of Respiratory Medicine, Department of Internal Medicine, Toho University Ohashi Medical Center, Tokyo, Japan
Takeshi Oshio
Affiliation:
Division of Respiratory Medicine, Department of Internal Medicine, Toho University Ohashi Medical Center, Tokyo, Japan
Kayo Watanabe
Affiliation:
Division of Respiratory Medicine, Department of Internal Medicine, Toho University Ohashi Medical Center, Tokyo, Japan
Kumiko Niitsuma
Affiliation:
Division of Respiratory Medicine, Department of Internal Medicine, Toho University Ohashi Medical Center, Tokyo, Japan
Chisato Imaizumi
Affiliation:
Division of Respiratory Medicine, Department of Internal Medicine, Toho University Ohashi Medical Center, Tokyo, Japan
Nagashige Shimada
Affiliation:
Division of Respiratory Medicine, Department of Internal Medicine, Toho University Ohashi Medical Center, Tokyo, Japan
Hirotsugu Morita
Affiliation:
Division of Respiratory Medicine, Department of Internal Medicine, Toho University Ohashi Medical Center, Tokyo, Japan
Hiroto Matsuse*
Affiliation:
Division of Respiratory Medicine, Department of Internal Medicine, Toho University Ohashi Medical Center, Tokyo, Japan
*
Author for correspondence: Hiroto Matsuse, E-mail: hiroto.matsuse@med.toho-u.ac.jp
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Abstract

No previous studies have examined Mycobacterium avium complex pulmonary disease (MAC-PD) in only elderly patients ⩾75 years old. Here, we investigated the exacerbating factors of MAC-PD in elderly patients and clarified cases that can be followed up without MAC medication. From April 2011 to March 2019, 126 advanced aged patients at our institute were newly diagnosed with MAC-PD, and could be observed based on radiological findings for over a year. Their medical records were retrospectively examined for clinical and radiological findings at the time of diagnosis and 1 year later. To identify the predictors of exacerbation, clinical characteristics of 109 treatment-naïve patients were compared between exacerbated and unchanged groups. Additionally, the unchanged group was followed for one more year. In the current study, positive acid-fast bacilli smears from the sputum test, the presence of cavitary lesions and extensive radiological findings, particularly abnormal shadows in ⩾3 lobes, were predictive of exacerbation among treatment-naïve elderly MAC-PD patients. In the unchanged group, <10% showed exacerbation of radiological findings within the subsequent year. In conclusion, if the sputum smear is negative, no cavitary lesions are present, and abnormal shadows are restricted to ⩽2 lobes, elderly patients with MAC-PD may remain untreated for a few years.

Information

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press
Figure 0

Fig. 1. Flow chart of patients diagnosed with M. avium complex pulmonary disease between April 2011 and March 2019. MGIT, mycobacterial growth indicator tube; MAC-PD, M. avium complex pulmonary disease.

Figure 1

Table 1. Basic characteristics of elderly patients with M. avium complex pulmonary disease (n = 126)

Figure 2

Fig. 2. Exacerbation by number of lung lobes with abnormalities. X-axis: number of abnormal lobes; Y-axis: number of patients with M. avium complex pulmonary disease.

Figure 3

Table 2. Comparison of the characteristics of elderly patients with M. avium complex pulmonary disease between the exacerbation group (E-group) and unchanged group (U-group) (n = 109)

Figure 4

Fig. 3. Exacerbation prediction model (simple classification): ROC curve. AUC, area under the curve.