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Validation of a diagnostic score model for the prediction of Legionella pneumophila pneumonia

発表形態:
原著論文
主要業績:
主要業績
単著・共著:
共著
発表年月:
2019年06月
DOI:
10.1016/j.jiac.2019.03.009
会議属性:
指定なし
査読:
有り
リンク情報:

日本語フィールド

著者:
*Naoyuki Miyashita, Nobuyuki Horita, Futoshi Higa, Yosuke Aoki, Toshiaki Kikuchi, Masafumi Seki, Kazuhiro Tateda, Nobuko Maki, Kazuhiro Uchino, Kazuhiko Ogasawara, Hiroshi Kiyota, Akira Watanabe
題名:
Validation of a diagnostic score model for the prediction of Legionella pneumophila pneumonia
発表情報:
J Infect Chemother 巻: 25 号: 6 ページ: 407-412
キーワード:
概要:
Background: Community-acquired pneumonia (CAP) due to Legionella has a high mortality rate in patients who do not receive adequate antibiotic therapy. In a previous study, we developed a simple Legionella Score to distinguish patients with Legionella and non-Legionella pneumonia based on clinical information at diagnosis. In the present study, we validated this Legionella Score for the presumptive diagnosis of Legionella CAP. Methods: This validation cohort included 109 patients with Legionella CAP and 683 patients with non-Legionella CAP. The Legionella Score includes six parameters by assigning one point for each of the following items: being male, absence of cough, dyspnea, C-reactive protein (CRP) ≥ 18 mg/dL, lactate dehydrogenase (LDH) ≥ 260 U/L, and sodium < 134 mmol/L. Results: When the Legionella CAP and non-Legionella CAP were compared by univariate analysis, most of the evaluated symptoms and laboratory test results differed substantially. The six parameters that were used for the Legionella Score also indicated clear differences between the Legionella and non-Legionella CAP. All Legionella patients had a score of 2 points or higher. The median Legionella Scores were 4 in the Legionella CAP cases and 2 in the non-Legionella CAP cases. A receiver operating characteristics curve showed that the area under the curve was 0.93. The proposed best cutoff, total score ≥3, had sensitivity of 93% and specificity of 75%. Conclusion: Our Legionella Score was shown to have good diagnostic ability with a positive likelihood of 3.7 and a negative likelihood of 0.10.
抄録:

英語フィールド

Author:
*Naoyuki Miyashita, Nobuyuki Horita, Futoshi Higa, Yosuke Aoki, Toshiaki Kikuchi, Masafumi Seki, Kazuhiro Tateda, Nobuko Maki, Kazuhiro Uchino, Kazuhiko Ogasawara, Hiroshi Kiyota, Akira Watanabe
Title:
Validation of a diagnostic score model for the prediction of Legionella pneumophila pneumonia
Announcement information:
J Infect Chemother Vol: 25 Issue: 6 Page: 407-412
An abstract:
Background: Community-acquired pneumonia (CAP) due to Legionella has a high mortality rate in patients who do not receive adequate antibiotic therapy. In a previous study, we developed a simple Legionella Score to distinguish patients with Legionella and non-Legionella pneumonia based on clinical information at diagnosis. In the present study, we validated this Legionella Score for the presumptive diagnosis of Legionella CAP. Methods: This validation cohort included 109 patients with Legionella CAP and 683 patients with non-Legionella CAP. The Legionella Score includes six parameters by assigning one point for each of the following items: being male, absence of cough, dyspnea, C-reactive protein (CRP) ≥ 18 mg/dL, lactate dehydrogenase (LDH) ≥ 260 U/L, and sodium < 134 mmol/L. Results: When the Legionella CAP and non-Legionella CAP were compared by univariate analysis, most of the evaluated symptoms and laboratory test results differed substantially. The six parameters that were used for the Legionella Score also indicated clear differences between the Legionella and non-Legionella CAP. All Legionella patients had a score of 2 points or higher. The median Legionella Scores were 4 in the Legionella CAP cases and 2 in the non-Legionella CAP cases. A receiver operating characteristics curve showed that the area under the curve was 0.93. The proposed best cutoff, total score ≥3, had sensitivity of 93% and specificity of 75%. Conclusion: Our Legionella Score was shown to have good diagnostic ability with a positive likelihood of 3.7 and a negative likelihood of 0.10.


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