{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T22:39:31Z","timestamp":1777675171529,"version":"3.51.4"},"reference-count":39,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T00:00:00Z","timestamp":1763683200000},"content-version":"vor","delay-in-days":324,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20241682"],"award-info":[{"award-number":["BK20241682"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82170433"],"award-info":[{"award-number":["82170433"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Mediators of Inflammation"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Acute kidney injury (AKI) is a critical risk factor for adverse outcomes in acute myocardial infarction (AMI) patients admitted to the intensive care unit (ICU). Early identification of high\u2010risk patients is essential for personalized treatment. The systemic inflammation response index (SIRI), a marker of systemic inflammation, has not been fully explored for its predictive role in AKI.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This study included 6936 critically ill AMI patients from the MIMIC\u2010III and MIMIC\u2010IV databases Lasso regression, multivariate logistic regression, restricted cubic spline (RCS) models, and subgroup analyses were employed to explore the association between SIRI and AKI risk. Then, we constructed a predictive model based on these findings internally validated using bootstrapping (1000 repetitions). Discrimination was assessed by the optimism\u2010corrected area under the receiver operating characteristic (ROC) curve (areas under the curve [AUC]), and calibration was evaluated by the calibration curve and the Hosmer\u2013Lemeshow test. The optimal cutoff value for SIRI was determined using the Youden index and propensity score matching (PSM; 1:1) was performed. Conditional logistic regression was used to validate the robustness of this association. Additionally, Cox regression and Kaplan\u2013Meier survival analyses were conducted to assess the relationship between SIRI and in\u2010hospital mortality in the overall cohort.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Elevated SIRI levels independently predicted AKI, showing a nonlinear relationship. Subgroup and propensity\u2010matched analyses confirmed this association. Furthermore, the predictive performance of the model was robust upon internal validation. The optimism\u2010corrected AUC was 0.767 (95% CI: 0.755\u20130.781) and the calibration curve showed excellent agreement, the Hosmer\u2013Lemeshow test indicated good fit (\n                      <jats:italic>p<\/jats:italic>\n                      = 0.539). Kaplan\u2013Meier curves revealed higher in\u2010hospital mortality in higher SIRI quartiles (log\u2010rank\n                      <jats:italic>p<\/jats:italic>\n                      \u2009 &lt; 0.001). Multivariate Cox regression further supported SIRI as a significant predictor of in\u2010hospital mortality.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>SIRI is an independent risk factor for AKI and in\u2010hospital mortality in critically ill AMI patients, offering valuable clinical utility for early AKI prediction and risk stratification.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1155\/mi\/1417075","type":"journal-article","created":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T10:24:49Z","timestamp":1763720689000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The Systemic Inflammation Response Index as an Independent Predictor of Acute Kidney Injury in Critically Ill Patients With Acute Myocardial Infarction: Insights From a Large\u2010Scale Cohort 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