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    Please use this identifier to cite or link to this item: http://ir.cnu.edu.tw/handle/310902800/27611


    標題: A Simple Scoring Algorithm Predicting Vascular Infections in Adults With Nontyphoid Salmonella Bacteremia
    作者: Chen, Po-Lin
    Lee, Ching-Chi
    Li, Chung-Yi
    Chang, Chia-Ming
    Lee, Hsin-Chun
    Lee, Nan-Yao
    Wu, Chi-Jung
    Shih, Hsin-I
    Tang, Hung-Jen
    Ko, Wen-Chien
    Wu, Chi-Jung�
    貢獻者: 保健營養系
    關鍵字: Abdominal Aortic-Aneurysms
    Extraintestinal Focal Infections
    Enterica Serotype Choleraesuis
    Risk-Factors
    Endovascular Infection
    Mycotic-Aneurysms
    Management
    Resistance
    Tromso
    日期: 2012-07-15
    上傳時間: 2014-03-21 16:15:12 (UTC+8)
    出版者: Oxford Univ Press Inc
    摘要: Background. Nontyphoid Salmonella (NTS) can cause fatal vascular infections. This study aims to establish a predictive scoring algorithm to identify adults aged >= 50 years with NTS bacteremia who are at risk for vascular infections.Methods. There were 358 adults aged >= 50 years with NTS bacteremia at 2 medical centers in southern Taiwan included in this study. Multiple logistic regression was used to identify risk factors for imaging-documented vascular infections. The prediction capability of the proposed scoring algorithm was indicated by a receiver operating characteristic curve and measures of sensitivity and specificity.Results. Sixty patients (16.8%) with vascular infections were noted. The 4 risk factors significantly associated with vascular infections-male sex, hypertension, coronary arterial disease, and serogroup C1 infections-were each assigned +1 point to form the NTS vascular infection (NTSVI) score. In contrast, malignancy and immunosuppressive therapy were each assigned -1 point, owing to their negative associations with vascular infections. Based on the proposed NTSVI scoring, the prevalence of vascular infections in patients with <= 0, 1, 2, 3, or 4 points was 2.2% (3 of 138 patients), 10.6% (13 of 123 patients), 39.4% (26 of 66 patients), 55.2% (16 of 29 patients), and 100% (2 of 2 patients), respectively (P < .0001). The scoring algorithm shows an area under the curve of 0.83 (95% confidence interval, .78-.89; P < .0001). A cutoff value of +1 represents a high sensitivity (95.0%) and an acceptable specificity (45.3%).Conclusions. This simple scoring algorithm can be used to identify patients with NTS bacteremia with a high risk of vascular infections. The cost-effectiveness of this algorithm should be further studied.
    Appears in Collections:[保健營養系(所) ] 期刊論文

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