{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T04:03:54Z","timestamp":1780545834723,"version":"3.54.1"},"reference-count":47,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T00:00:00Z","timestamp":1766534400000},"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":["The American Surgeon\u2122"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>While the sequential organ failure assessment (SOFA) score is primarily utilized for sepsis severity stratification, its predictive performance for sepsis-associated acute kidney injury (SA-AKI) prognosis remains suboptimal. This study specifically focused on identifying 30-day mortality risk factors in SA-AKI patients and developing a novel prognostic model to enhance short-term outcome prediction in this critically ill population.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>389 SA-AKI patients were finally enrolled and categorized into survivors (n = 286) and non-survivors (n = 103) based on 30-day survival status. The least absolute shrinkage and selection operator (LASSO), and univariate and multivariate logistic regression analyses were utilized to examine the independent risk factors associated with 30-day mortality. Calibration and decision curve analysis (DCA) curves were employed to assess the model\u2019s goodness of fit.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Sequential organ failure assessment score, urinary albumin-to-creatinine ratio (uAlb\/Cr), D-dimer (D-D), fibrinogen (FIB), systemic inflammation response index (SIRI), systemic immune-inflammation index (SII), and ferritin were independent risk factors for predicting 30-day mortality in SA-AKI patients. The uAlb\/Cr + D-D + FIB + SIRI+SII + ferritin (UDFSSF) model showed an AUC of 0.975 (95% CI: 0.959-0.992), significantly outperforming the SOFA score (AUC: 0.716, 95% CI: 0.655-0.778).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Due to its multidimensional yet readily obtainable parameters, the UDFSSF model holds significant promise for clinical implementation as a superior forecasting tool for 30-day mortality of SA-AKI patients.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/00031348251412266","type":"journal-article","created":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T15:58:52Z","timestamp":1766591932000},"page":"1476-1487","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["UDFSSF Model is Superior to SOFA Score in Predicting 30-day Mortality of Septic Patients With Acute Kidney Injury"],"prefix":"10.1177","volume":"92","author":[{"given":"Mijiang","family":"Liu","sequence":"first","affiliation":[{"name":"Emergency Department of West China Hospital, Sichuan University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chonghong","family":"Kou","sequence":"additional","affiliation":[{"name":"The Fifth People\u2019s Hospital of Qinghai Province"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Lin","sequence":"additional","affiliation":[{"name":"Emergency Department of West China Hospital, Sichuan University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2352-1270","authenticated-orcid":false,"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Emergency Department of West China Hospital, Sichuan University, Chengdu, 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