{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,6]],"date-time":"2026-09-06T04:00:36Z","timestamp":1788667236527,"version":"build-2803163510"},"reference-count":17,"publisher":"Public Library of Science (PLoS)","issue":"12","license":[{"start":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T00:00:00Z","timestamp":1735603200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:sec id=\"sec001\">\n<jats:title>Objective<\/jats:title>\n<jats:p>This study aimed to analyze the predictive value of the systemic immune inflammation index (SII) for the severity of disease in tetanus patients.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec002\">\n<jats:title>Methods<\/jats:title>\n<jats:p>Clinical data of 34 tetanus patients admitted to the Second People\u2019s Hospital of Fuyang from <jats:bold>January 1, 2019 to December 31, 2022<\/jats:bold> were analyzed. Based on whether patients received intensive care unit (ICU) treatment after admission, the patients were divided into ICU and non-ICU groups. The diagnostic value of SII for the severity of tetanus was assessed.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec003\">\n<jats:title>Results<\/jats:title>\n<jats:p>Among the 34 patients, 18 (52.90%) were classified into the ICU group, and 16 (47.10%) into the non-ICU group. There were statistically significant differences in white blood cell count, platelet count, neutrophil count, and SII between the two groups (P&lt;0.05). Logistic regression analysis revealed that SII was a risk factor for tetanus patients requiring ICU treatment. The area under the curve (AUC) for SII predicting ICU treatment in tetanus patients was 0.896 (95% CI 0.790\u20131.000, P&lt;0.001).<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec004\">\n<jats:title>Conclusion<\/jats:title>\n<jats:p>The SII can serve as an objective predictive indicator for tetanus patients requiring ICU treatment.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pone.0316196","type":"journal-article","created":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T19:03:58Z","timestamp":1735671838000},"page":"e0316196","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":4,"title":["Systemic immune inflammation index as a predictor of disease severity in tetanus patients: A retrospective observational 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Appl Thromb Hemost"},{"issue":"1","key":"pone.0316196.ref010","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1186\/s12879-024-09037-1","article-title":"Clinical profile and outcomes of tetanus patients in a tertiary hospital in the Philippines: a ten-year retrospective study.","volume":"24","author":"PDT Lanuza","year":"2024","journal-title":"BMC Infect Dis"},{"issue":"4","key":"pone.0316196.ref011","doi-asserted-by":"crossref","first-page":"1340","DOI":"10.1109\/TBME.2022.3216383","article-title":"Improving Classification of Tetanus Severity for Patients in Low-Middle Income Countries Wearing ECG Sensors by Using a CNN-Transformer Network","volume":"70","author":"P Lu","year":"2023","journal-title":"IEEE Trans Biomed Eng"},{"key":"pone.0316196.ref012","doi-asserted-by":"crossref","first-page":"893200","DOI":"10.3389\/fpubh.2022.893200","article-title":"Direct Medical Costs of Tetanus, Dengue, and Sepsis Patients in an Intensive Care Unit in 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