Probabilistic approach for the diagnosis and antimicrobial treatment for the lower respiratory tract infections caused by methicillin-resistant Staphylococcus aureus.
Project/Area Number |
20591204
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Infectious disease medicine
|
Research Institution | Saga University |
Principal Investigator |
AOKI Yosuke Saga University, 医学部, 准教授 (60222478)
|
Co-Investigator(Kenkyū-buntansha) |
FUKUOKA Mami 佐賀大学, 医学部, 講師 (20315196)
|
Co-Investigator(Renkei-kenkyūsha) |
NAGATA Masaki 佐賀大学, 医学部, 助教 (90467952)
|
Project Period (FY) |
2008 – 2010
|
Project Status |
Completed (Fiscal Year 2010)
|
Budget Amount *help |
¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2010: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2009: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Fiscal Year 2008: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
|
Keywords | 感染症 / MRSA(メチシリン耐性黄色ブドウ球菌) / 抗菌薬治療 / 肺炎 / 臨床疫学的 / 診断 / Bayes 解析 / MRSA:メチシリン耐性黄色ブドウ球菌 / 下気道感染 / 臨床疫学的診断 / Bayes解析 / Evidence-based medicine / 抗菌薬 / 肺炎(下気道感染) / 臨床疫学 / アルゴリズム |
Research Abstract |
Using a quantitative Baysian analysis as a clinical epidemiological approach, we developed a diagnostic strategy for lower respiratory tract infection (LRTI) caused by MRSA. These probabilistic diagnoses were closely corroborated with clinical diagnosis by infection control team. The diagnostic probabilities of MRSA-LRTI were reproducible, and reliable, hence it can be applied to the daily clinical practice of infection control and prevention in general medical centers.
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Report
(4 results)
Research Products
(34 results)