{"title":"40岁以下青年头颈部肿瘤手术患者术前全身炎症反应指数的评价。","authors":"Pei-Yin Wu, Yao-Te Tsai, Yu-Tsai Lin, Hui-Ching Chuang, Chao-Hui Yang, Chih-Yen Chien, Fu-Min Fang, Tai-Lin Huang, Hui Lu, Ming-Hsien Tsai","doi":"10.1177/01455613251338940","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To assess the prognosis of young patients (≤40 years old) with head and neck squamous cell carcinoma (HNSCC), focusing on the preoperative Systemic Inflammation Response Index (SIRI).</p><p><strong>Methods: </strong>Between January 2007 and February 2017, 175 young patients with HNSCC (≤40 years old) who underwent radical surgery were retrospectively enrolled in this study. The patients were randomly divided into a training cohort (N = 131) and a validation cohort (N = 44). The SIRI is defined as the absolute neutrophil count (×10⁹/L) multiplied by the absolute monocyte count (×10⁹/L), divided by the absolute lymphocyte count (×10⁹/L) in peripheral blood, all measured within one week prior to radical surgery. Univariate and multivariate Cox regression analyses were conducted to identify variables associated with survival outcomes, which were then used to construct and evaluate a predictive nomogram.</p><p><strong>Results: </strong>In both the training and validation cohorts, patients were classified into low- and high-SIRI groups based on a cutoff value of 0.87, which was determined by receiver operating characteristic analysis. This SIRI cutoff effectively stratified patients into two distinct prognostic groups with significant survival differences. Multivariable Cox analysis identified the presence of lymphovascular invasion and the high preoperative SIRI as significant independent prognostic factors associated with poorer cancer-specific survival (CSS) in young patients with HNSCC. Using these variables, a predictive model for 5 year CSS was constructed and visualized as a nomogram. The model demonstrated strong predictive performance, with a <i>C</i>-index of 0.744 [95% CI (0.643-0.845)] in the training cohort and 0.839 [95% CI (0.740-0.938)] in the validation cohort.</p><p><strong>Conclusion: </strong>Data from preoperative SIRI assessment, coupled with the presence of pathological adverse features, serve as valuable references for risk stratification in young patients with HNSCC.</p>","PeriodicalId":93984,"journal":{"name":"Ear, nose, & throat journal","volume":" ","pages":"1455613251338940"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of Preoperative Systemic Inflammation Response Index in Surgically Treated Young Head and Neck Cancer Patients Under 40.\",\"authors\":\"Pei-Yin Wu, Yao-Te Tsai, Yu-Tsai Lin, Hui-Ching Chuang, Chao-Hui Yang, Chih-Yen Chien, Fu-Min Fang, Tai-Lin Huang, Hui Lu, Ming-Hsien Tsai\",\"doi\":\"10.1177/01455613251338940\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>To assess the prognosis of young patients (≤40 years old) with head and neck squamous cell carcinoma (HNSCC), focusing on the preoperative Systemic Inflammation Response Index (SIRI).</p><p><strong>Methods: </strong>Between January 2007 and February 2017, 175 young patients with HNSCC (≤40 years old) who underwent radical surgery were retrospectively enrolled in this study. The patients were randomly divided into a training cohort (N = 131) and a validation cohort (N = 44). The SIRI is defined as the absolute neutrophil count (×10⁹/L) multiplied by the absolute monocyte count (×10⁹/L), divided by the absolute lymphocyte count (×10⁹/L) in peripheral blood, all measured within one week prior to radical surgery. Univariate and multivariate Cox regression analyses were conducted to identify variables associated with survival outcomes, which were then used to construct and evaluate a predictive nomogram.</p><p><strong>Results: </strong>In both the training and validation cohorts, patients were classified into low- and high-SIRI groups based on a cutoff value of 0.87, which was determined by receiver operating characteristic analysis. This SIRI cutoff effectively stratified patients into two distinct prognostic groups with significant survival differences. Multivariable Cox analysis identified the presence of lymphovascular invasion and the high preoperative SIRI as significant independent prognostic factors associated with poorer cancer-specific survival (CSS) in young patients with HNSCC. Using these variables, a predictive model for 5 year CSS was constructed and visualized as a nomogram. The model demonstrated strong predictive performance, with a <i>C</i>-index of 0.744 [95% CI (0.643-0.845)] in the training cohort and 0.839 [95% CI (0.740-0.938)] in the validation cohort.</p><p><strong>Conclusion: </strong>Data from preoperative SIRI assessment, coupled with the presence of pathological adverse features, serve as valuable references for risk stratification in young patients with HNSCC.</p>\",\"PeriodicalId\":93984,\"journal\":{\"name\":\"Ear, nose, & throat journal\",\"volume\":\" \",\"pages\":\"1455613251338940\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ear, nose, & throat journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/01455613251338940\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ear, nose, & throat journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/01455613251338940","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assessment of Preoperative Systemic Inflammation Response Index in Surgically Treated Young Head and Neck Cancer Patients Under 40.
Objectives: To assess the prognosis of young patients (≤40 years old) with head and neck squamous cell carcinoma (HNSCC), focusing on the preoperative Systemic Inflammation Response Index (SIRI).
Methods: Between January 2007 and February 2017, 175 young patients with HNSCC (≤40 years old) who underwent radical surgery were retrospectively enrolled in this study. The patients were randomly divided into a training cohort (N = 131) and a validation cohort (N = 44). The SIRI is defined as the absolute neutrophil count (×10⁹/L) multiplied by the absolute monocyte count (×10⁹/L), divided by the absolute lymphocyte count (×10⁹/L) in peripheral blood, all measured within one week prior to radical surgery. Univariate and multivariate Cox regression analyses were conducted to identify variables associated with survival outcomes, which were then used to construct and evaluate a predictive nomogram.
Results: In both the training and validation cohorts, patients were classified into low- and high-SIRI groups based on a cutoff value of 0.87, which was determined by receiver operating characteristic analysis. This SIRI cutoff effectively stratified patients into two distinct prognostic groups with significant survival differences. Multivariable Cox analysis identified the presence of lymphovascular invasion and the high preoperative SIRI as significant independent prognostic factors associated with poorer cancer-specific survival (CSS) in young patients with HNSCC. Using these variables, a predictive model for 5 year CSS was constructed and visualized as a nomogram. The model demonstrated strong predictive performance, with a C-index of 0.744 [95% CI (0.643-0.845)] in the training cohort and 0.839 [95% CI (0.740-0.938)] in the validation cohort.
Conclusion: Data from preoperative SIRI assessment, coupled with the presence of pathological adverse features, serve as valuable references for risk stratification in young patients with HNSCC.
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