{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T06:27:53Z","timestamp":1785306473959,"version":"3.55.0"},"reference-count":41,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T00:00:00Z","timestamp":1661472000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100011093","name":"University of Phayao","doi-asserted-by":"publisher","award":["FF65-UoE005"],"award-info":[{"award-number":["FF65-UoE005"]}],"id":[{"id":"10.13039\/501100011093","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Pharmacol."],"abstract":"<jats:p><jats:bold>Background:<\/jats:bold> Mortality from multidrug-resistant (MDR) pathogens is an urgent healthcare crisis worldwide. At present we do not have any simplified screening tools to predict the risk of mortality associated with MDR infections. The aim of this study was to develop a screening tool to predict mortality in patients with multidrug-resistant organisms.<\/jats:p><jats:p><jats:bold>Methods:<\/jats:bold> A retrospective cohort study to evaluate mortality risks in patients with MDR infections was conducted at Phrae Hospital. Univariable and multivariable analyses were used to classify possible risk factors. The model performance was internally validated utilizing the mean of three measures of discrimination corrected by the optimism using a 1000-bootstrap procedure. The coefficients were transformed into item scores by dividing each coefficient with the lowest coefficient and then rounding to the most adjacent number. The area under the receiver operating characteristic curve (AuROC) was used to determine the performance of the model.<\/jats:p><jats:p><jats:bold>Results:<\/jats:bold> Between 1 October 2018 and 30 September 2020, a total of 504 patients with MDR infections were enrolled. The ICU-SEPSA score composed of eight clinical risk factors: 1) immunocompromised host, 2) chronic obstructive pulmonary disease, 3) urinary tract infection, 4) sepsis, 5) placement of endotracheal tube, 6) pneumonia, 7) septic shock, and 8) use of antibiotics within the past 3 months. The model showed good calibration (Hosmer-Lemeshow \u03c72 = 19.27; <jats:italic>p-<\/jats:italic>value = 0.50) and good discrimination after optimism correction (AuROC 84.6%, 95% confidence interval [Cl]: 81.0%\u201388.0%). The positive likelihood ratio of low risk (score \u2264 5) and high risk (score \u2265 8) were 2.07 (95% CI: 1.74\u20132.46) and 12.35 (95% CI: 4.90\u201331.13), respectively.<\/jats:p><jats:p><jats:bold>Conclusion:<\/jats:bold> A simplified predictive scoring tool wad developed to predict mortality in patients with MDR infections. Due to a single-study design of this study, external validation of the results before applying in other clinical practice settings is warranted.<\/jats:p>","DOI":"10.3389\/fphar.2022.938028","type":"journal-article","created":{"date-parts":[[2022,8,31]],"date-time":"2022-08-31T13:31:37Z","timestamp":1661952697000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Development and internal validation of simplified predictive scoring (ICU-SEPSA score) for mortality in patients with multidrug resistant infection"],"prefix":"10.3389","volume":"13","author":[{"given":"Taranee","family":"Sirichayanugul","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chansinee","family":"Srisawat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chawin","family":"Thummakomut","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abhisit","family":"Prawang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nina S","family":"Huynh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Surasak","family":"Saokaew","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pochamana","family":"Phisalprapa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sukrit","family":"Kanchanasurakit","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,8,26]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1161","DOI":"10.1016\/j.ajic.2016.03.068","article-title":"Nosocomial infection of multidrug-resistant Acinetobacter baumannii in Thailand","volume":"44","author":"Anudit","year":"2016","journal-title":"Am. 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