碩士 / 國立高雄師範大學 / 數學系 / 104 / Methicillin-resistant Staphylococcus aureus (MRSA), one of the most common pathogens which could lead to fetal post-operative infection, has been found since 1960’s. And, the nosocomial infection, which may be called as hospital-acquired infection or healthcare-associated infection, not only has increased the morbidity, mortality, and the length of hospital stay, but also is a clinical dilema of antibiotics usage. The nosocomial infection by MRSA has become as the urgent problem of medical economics. How to early recognize the risky MRSA infection patients, to make early isolation from the low risk ones and to be treated with adequate antibiotic, is considered as the most effective method to resecue the patient. Clinical rapid screen method is the most reliable method, but it has the limits of 3-days waiting period or cost-effect consideration. So, an equation built by mathematic statistics is wanted for the clinical necessity.
We conduct a retrospective study focusing on 1465 patients in one of the clinical centers of south Taiwan, who have the possibility of MRSA infection. The prevalence of MRSA infection has known as 8.05% in that clinical center. Total 76 risk facters were enrolled with 3 different logistic regression models. We found that the risk factors of bed-ridden (p=0.016), chronic dermatitis (p=0.001), recent antibiotic therapy more than six months before admission (p=0.026), and last prior hospital exposure (p=0.021), were statistically significant for MRSA nosocomial infection, but the risk factor of smoking (p=0.007) has protective effect.
The results of this study were summarized as an methmatic equation to predict the risk of MRSA infection in hospitalization. It is available for effective prevention and cost-effect benefit.
| Identifer | oai:union.ndltd.org:TW/104NKNU0479008 |
| Date | January 2016 |
| Creators | CHAO,YA-JUNG, 趙雅容 |
| Contributors | Liau,Pen-Hwang, 廖本煌 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 57 |
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