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http://ir.nhri.org.tw/handle/3990099045/6569
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| Title: | A simple scoring algorithm predicting vascular infections in adults with nontyphoid salmonella bacteremia |
| Authors: | Chen, PL;Lee, CC;Li, CY;Chang, CM;Lee, HC;Lee, NY;Wu, CJ;Shih, HI;Tang, HJ;Ko, WC |
| Contributors: | Division of Infectious Diseases |
| Abstract: | 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. |
| Date: | 2012-07 |
| Relation: | Clinical Infectious Diseases. 2012 Jul;55(2):194-200. |
| Link to: | http://dx.doi.org/10.1093/cid/cis381 |
| JIF/Ranking 2023: | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1058-4838&DestApp=IC2JCR |
| Cited Times(WOS): | https://www.webofscience.com/wos/woscc/full-record/WOS:000305612800007 |
| Cited Times(Scopus): | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84864138149 |
| Appears in Collections: | [吳綺容] 期刊論文
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Size | Format | |
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| ISI000305612800007.pdf | | 114Kb | Adobe PDF | 528 | View/Open |
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