Junjie Li, Yuekai Shao, Jie Zheng, Qiuyu Dai, Kun Yu, Song Qin, Xinxin Liu, Hong Mei
{"title":"脓毒症晚期肺癌炎症指数与短期死亡率的回顾性分析。","authors":"Junjie Li, Yuekai Shao, Jie Zheng, Qiuyu Dai, Kun Yu, Song Qin, Xinxin Liu, Hong Mei","doi":"10.3389/fnut.2025.1563311","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Sepsis is a notable cause of death and poor prognosis in the intensive care unit (ICU). Presents an ambiguous association between advanced lung cancer inflammation (ALI) and short-term lethality in sepsis patients. The purpose of this study is to explore this relationship.</p><p><strong>Methods: </strong>This retrospective study identified sepsis cases from the MIMIC-IV 3.0 dataset. Multivariable Cox regression analysis was used to evaluate the relationship between ALI and the risks of 30-day all-cause mortality (ACM) and ICU mortality. Kaplan-Meier (K-M) curves and log-rank tests were employed for survival analysis. Restricted cubic spline (RCS) regression was employed to explore the nonlinear association between ALI and mortality risk. Subgroup and sensitivity analyses were performed to confirm the reliability of the results and to evaluate the incremental effect of ALI on the prediction of short-term mortality.</p><p><strong>Results: </strong>A total of 4,147 sepsis cases were included in this study, with a 30-day ACM rate of 26.7% and a 30-day ICU mortality rate of 18.5%. In the completely adjusted Cox model, patients in the highest quartile of log2-ALI had a 38% lower risk of 30-day ACM (HR = 0.62, <i>p</i> < 0.001) and a 29% lower risk of 30-day ICU mortality (HR = 0.71, <i>p</i> = 0.002) compared to those in the lowest quartile. K-M curves showed that the group with the lowest log2-ALI had the lowest 30-day ACM and ICU survival rates (log-rank <i>p</i> < 0.001). RCS showed a nonlinear relationship between log2-ALI and 30-day ACM (P-overall < 0.001, P-nonlinear < 0.05). In all subgroups, the relationship between log2-ALI and outcomes showed no notable heterogeneity (P for interaction > 0.05), and four different sensitivity analyses yielded robust results. The combination of sequential organ failure assessment (SOFA) score and log2-ALI improved the predictive ability for 30-day ACM, with significant increases in C-statistic, Net Reclassification Improvement (NRI), and Integrated Discrimination Improvement (IDI).</p><p><strong>Conclusion: </strong>This research found that lower levels of ALI were notably linked to higher 30-day ACM and 30-day ICU mortality in sepsis patients, warranting further verification through prospective studies.</p>","PeriodicalId":12473,"journal":{"name":"Frontiers in Nutrition","volume":"12 ","pages":"1563311"},"PeriodicalIF":4.0000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12116343/pdf/","citationCount":"0","resultStr":"{\"title\":\"Advanced lung cancer inflammation index and short-term mortality in sepsis: a retrospective analysis.\",\"authors\":\"Junjie Li, Yuekai Shao, Jie Zheng, Qiuyu Dai, Kun Yu, Song Qin, Xinxin Liu, Hong Mei\",\"doi\":\"10.3389/fnut.2025.1563311\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Sepsis is a notable cause of death and poor prognosis in the intensive care unit (ICU). Presents an ambiguous association between advanced lung cancer inflammation (ALI) and short-term lethality in sepsis patients. The purpose of this study is to explore this relationship.</p><p><strong>Methods: </strong>This retrospective study identified sepsis cases from the MIMIC-IV 3.0 dataset. Multivariable Cox regression analysis was used to evaluate the relationship between ALI and the risks of 30-day all-cause mortality (ACM) and ICU mortality. Kaplan-Meier (K-M) curves and log-rank tests were employed for survival analysis. Restricted cubic spline (RCS) regression was employed to explore the nonlinear association between ALI and mortality risk. Subgroup and sensitivity analyses were performed to confirm the reliability of the results and to evaluate the incremental effect of ALI on the prediction of short-term mortality.</p><p><strong>Results: </strong>A total of 4,147 sepsis cases were included in this study, with a 30-day ACM rate of 26.7% and a 30-day ICU mortality rate of 18.5%. In the completely adjusted Cox model, patients in the highest quartile of log2-ALI had a 38% lower risk of 30-day ACM (HR = 0.62, <i>p</i> < 0.001) and a 29% lower risk of 30-day ICU mortality (HR = 0.71, <i>p</i> = 0.002) compared to those in the lowest quartile. K-M curves showed that the group with the lowest log2-ALI had the lowest 30-day ACM and ICU survival rates (log-rank <i>p</i> < 0.001). RCS showed a nonlinear relationship between log2-ALI and 30-day ACM (P-overall < 0.001, P-nonlinear < 0.05). 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引用次数: 0
摘要
背景:脓毒症是重症监护病房(ICU)患者死亡和预后不良的重要原因。晚期肺癌炎症(ALI)与败血症患者的短期死亡率之间存在模糊关联。本研究的目的是探讨这种关系。方法:本回顾性研究从MIMIC-IV 3.0数据集中确定脓毒症病例。采用多变量Cox回归分析评估ALI与30天全因死亡率(ACM)和ICU死亡率风险之间的关系。生存分析采用Kaplan-Meier (K-M)曲线和log-rank检验。采用限制性三次样条(RCS)回归分析ALI与死亡风险之间的非线性关系。进行亚组分析和敏感性分析,以确认结果的可靠性,并评估ALI对预测短期死亡率的增量效应。结果:本研究共纳入4147例脓毒症患者,30天ACM率为26.7%,30天ICU死亡率为18.5%。在完全调整后的Cox模型中,log2-ALI最高四分位数的患者发生30天ACM的风险比最低四分位数的患者低38% (HR = 0.62,p p = 0.002)。K-M曲线显示,log2-ALI最低的组具有最低的30天ACM和ICU生存率(log-rank p 0.05),四种不同的敏感性分析得出了稳健的结果。顺序器官衰竭评估(SOFA)评分和log2-ALI的结合提高了30天ACM的预测能力,c统计量、净重分类改善(NRI)和综合判别改善(IDI)显著增加。结论:本研究发现,较低水平的ALI与脓毒症患者较高的30天ACM和30天ICU死亡率显著相关,需要通过前瞻性研究进一步验证。
Advanced lung cancer inflammation index and short-term mortality in sepsis: a retrospective analysis.
Background: Sepsis is a notable cause of death and poor prognosis in the intensive care unit (ICU). Presents an ambiguous association between advanced lung cancer inflammation (ALI) and short-term lethality in sepsis patients. The purpose of this study is to explore this relationship.
Methods: This retrospective study identified sepsis cases from the MIMIC-IV 3.0 dataset. Multivariable Cox regression analysis was used to evaluate the relationship between ALI and the risks of 30-day all-cause mortality (ACM) and ICU mortality. Kaplan-Meier (K-M) curves and log-rank tests were employed for survival analysis. Restricted cubic spline (RCS) regression was employed to explore the nonlinear association between ALI and mortality risk. Subgroup and sensitivity analyses were performed to confirm the reliability of the results and to evaluate the incremental effect of ALI on the prediction of short-term mortality.
Results: A total of 4,147 sepsis cases were included in this study, with a 30-day ACM rate of 26.7% and a 30-day ICU mortality rate of 18.5%. In the completely adjusted Cox model, patients in the highest quartile of log2-ALI had a 38% lower risk of 30-day ACM (HR = 0.62, p < 0.001) and a 29% lower risk of 30-day ICU mortality (HR = 0.71, p = 0.002) compared to those in the lowest quartile. K-M curves showed that the group with the lowest log2-ALI had the lowest 30-day ACM and ICU survival rates (log-rank p < 0.001). RCS showed a nonlinear relationship between log2-ALI and 30-day ACM (P-overall < 0.001, P-nonlinear < 0.05). In all subgroups, the relationship between log2-ALI and outcomes showed no notable heterogeneity (P for interaction > 0.05), and four different sensitivity analyses yielded robust results. The combination of sequential organ failure assessment (SOFA) score and log2-ALI improved the predictive ability for 30-day ACM, with significant increases in C-statistic, Net Reclassification Improvement (NRI), and Integrated Discrimination Improvement (IDI).
Conclusion: This research found that lower levels of ALI were notably linked to higher 30-day ACM and 30-day ICU mortality in sepsis patients, warranting further verification through prospective studies.
期刊介绍:
No subject pertains more to human life than nutrition. The aim of Frontiers in Nutrition is to integrate major scientific disciplines in this vast field in order to address the most relevant and pertinent questions and developments. Our ambition is to create an integrated podium based on original research, clinical trials, and contemporary reviews to build a reputable knowledge forum in the domains of human health, dietary behaviors, agronomy & 21st century food science. Through the recognized open-access Frontiers platform we welcome manuscripts to our dedicated sections relating to different areas in the field of nutrition with a focus on human health.
Specialty sections in Frontiers in Nutrition include, for example, Clinical Nutrition, Nutrition & Sustainable Diets, Nutrition and Food Science Technology, Nutrition Methodology, Sport & Exercise Nutrition, Food Chemistry, and Nutritional Immunology. Based on the publication of rigorous scientific research, we thrive to achieve a visible impact on the global nutrition agenda addressing the grand challenges of our time, including obesity, malnutrition, hunger, food waste, sustainability and consumer health.