{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T13:29:59Z","timestamp":1777728599435,"version":"3.51.4"},"reference-count":17,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2014,9,25]],"date-time":"2014-09-25T00:00:00Z","timestamp":1411603200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Int Med Res"],"published-print":{"date-parts":[[2014,12]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To identify characteristics associated with particular groups of uropathogens in catheter-associated urinary tract infection (CA\u2013UTI) and to develop clinical prediction rules for identifying these groups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Demographic, clinical and microbiological data were analysed from patients with CA\u2013UTI. Infections were categorized into enteric Gram-negative rods, nonfermenters, Gram-positive cocci and fungal. Variables were analysed using univariate and multiple logistic regression analyses, and were used to develop clinical prediction rules.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 492 patients were included in the study. Candida species were the most common uropathogens (30.7%), followed by enterococci (17.3%), Escherichia coli (12.0%), Pseudomonas spp. (10.8%), Klebsiella spp. (7.9%) and staphylococci (6.5%). Clinical prediction rules for the bacterial uropathogenic groups showed poor-to-fair discriminatory power, with sensitivities of &lt;40% and specificities of &gt;90%. However, clinical prediction rules showed good discriminatory power for fungal infections, with a sensitivity of 67.3% and a specificity of 78.1%.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Clinical prediction rules developed for identifying specific groups of bacterial uropathogens in patients with CA\u2013UTI had a low sensitivity, whereas those for fungal infections showed good discriminatory power. Further studies to develop more refined and sensitive tools for predicting specific bacterial uropathogens in CA\u2013UTI are warranted.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/0300060514543035","type":"journal-article","created":{"date-parts":[[2014,9,26]],"date-time":"2014-09-26T00:57:08Z","timestamp":1411693028000},"page":"1335-1347","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":9,"title":["Factors associated with specific uropathogens in catheter-associated urinary tract infection: Developing a clinical prediction model"],"prefix":"10.1177","volume":"42","author":[{"given":"Won Sup","family":"Oh","sequence":"first","affiliation":[{"name":"Department of Internal Medicine, Kangwon National University School of Medicine, Chuncheon, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ji-An","family":"Hur","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eu Suk","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyung-Hwa","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hee Kyoung","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Wonju Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chisook","family":"Moon","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Inje University Busan-Paik Hospital, Busan, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baek-Nam","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Inje University Sanggye-Paik Hospital, Seoul, Republic of 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