Title |
Pathogens in COPD exacerbations identified by comprehensive real-time PCR plus older methods
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Published in |
International Journal of Chronic Obstructive Pulmonary Disease, September 2015
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DOI | 10.2147/copd.s82752 |
Pubmed ID | |
Authors |
Kenichiro Shimizu, Yutaka Yoshii, Miyuki Morozumi, Naoko Chiba, Kimiko Ubukata, Hironori Uruga, Shigeo Hanada, Nayuta Saito, Tsukasa Kadota, Saburo Ito, Hiroshi Wakui, Naoki Takasaka, Shunsuke Minagawa, Jun Kojima, Hiromichi Hara, Takanori Numata, Makoto Kawaishi, Keisuke Saito, Jun Araya, Yumi Kaneko, Katsutoshi Nakayama, Kazuma Kishi, Kazuyoshi Kuwano |
Abstract |
Respiratory infection is a major cause of exacerbation in chronic obstructive pulmonary disease (COPD). Infectious contributions to exacerbations remain incompletely described. We therefore analyzed respiratory tract samples by comprehensive real-time polymerase chain reaction (PCR) in combination with conventional methods. We evaluated multiple risk factors for prolonged hospitalization to manage COPD exacerbations, including infectious agents. Over 19 months, we prospectively studied 46 patients with 50 COPD exacerbations, collecting nasopharyngeal swab and sputum samples from each. We carried out real-time PCR designed to detect six bacterial species and eleven viruses, together with conventional procedures, including sputum culture. Infectious etiologies of COPD exacerbations were identified in 44 of 50 exacerbations (88%). Infections were viral in 17 of 50 exacerbations (34%). COPD exacerbations caused by Gram-negative bacilli, including enteric and nonfermenting organisms, were significantly associated with prolonged hospitalization for COPD exacerbations. Our results support the use of a combination of real-time PCR and conventional methods for determining both infectious etiologies and risk of extended hospitalization. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 2 | 2% |
United Kingdom | 1 | 1% |
Unknown | 82 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 18% |
Student > Master | 13 | 15% |
Student > Bachelor | 11 | 13% |
Student > Ph. D. Student | 9 | 11% |
Other | 7 | 8% |
Other | 11 | 13% |
Unknown | 19 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 27% |
Biochemistry, Genetics and Molecular Biology | 7 | 8% |
Immunology and Microbiology | 7 | 8% |
Agricultural and Biological Sciences | 5 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 6% |
Other | 13 | 15% |
Unknown | 25 | 29% |