Xiuxiu Qiu, Yiyi Zhang, Yingjie Zhu, Ming Yang, Li Tao
{"title":"癌症患者炎症负担指数与死亡率增加的关系:来自NHANES研究的见解","authors":"Xiuxiu Qiu, Yiyi Zhang, Yingjie Zhu, Ming Yang, Li Tao","doi":"10.1002/iid3.70067","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>The systemic inflammatory response significantly influences the progression and prognosis of various cancers. The novel Inflammatory Burden Index (IBI) was recently introduced as a biomarker to gauge systemic inflammation and evaluate cancer patient prognosis. However, studies investigating the relationship between IBI and mortality rates in cancer patients remain limited.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This study analyzed data from 2748 cancer patients enrolled in the National Health and Nutrition Examination Surveys between 1999 and 2018. We used weighted Cox regression analysis and restricted cubic spline models to examine the relationship between the IBI and mortality due to all causes, cardiovascular disease (CVD), and cancer. Furthermore, we employed Kaplan-Meier survival curves, subgroup analyses, and receiver operating characteristic curves to elaborate on these associations.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Over a median follow-up period of 112 months, the cohort experienced 1067 deaths, including 320 from cancer, 239 attributable to heart disease, and 508 from various other causes. The Kaplan-Meier curve indicated that individuals in the higher quartiles of the IBI faced significantly increased mortality risks compared to those in lower quartiles. Analyses using weighted Cox proportional hazards models demonstrated that subjects in the top IBI quartile were at a substantially higher risk for all-cause mortality (Hazard Ratio [HR] 2.09, 95% Confidence Interval [CI] 1.67–2.62, <i>p</i> < 0.001), CVD mortality (HR = 1.95, 95% CI= 1.18–3.23, <i>p</i> = 0.010), and cancer mortality (HR = 2.06, 95% CI = 1.31–3.26, <i>p</i> = 0.002). Furthermore, stratification and interaction analyses affirmed the uniformity of these initial findings. The areas under the curve for the 3-, 5-, and 10-year survival predictions for all-cause mortality were 0.62, 0.62, and 0.67, respectively; for cardiovascular mortality, they were 0.64, 0.64, and 0.70; and for cancer mortality, they were 0.62, 0.77, and 0.70.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>In cancer patients, higher IBI levels significantly correlate with increased mortality from all causes, CVD, and cancer-specific deaths. This index could possess considerable diagnostic and prognostic importance, possibly acting as a new biomarker for evaluating outcomes in cancer patients.</p>\n </section>\n </div>","PeriodicalId":13289,"journal":{"name":"Immunity, Inflammation and Disease","volume":"12 12","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11621858/pdf/","citationCount":"0","resultStr":"{\"title\":\"Association of the Inflammatory Burden Index With Increased Mortality Among Cancer Patients: Insights From the NHANES Study\",\"authors\":\"Xiuxiu Qiu, Yiyi Zhang, Yingjie Zhu, Ming Yang, Li Tao\",\"doi\":\"10.1002/iid3.70067\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>The systemic inflammatory response significantly influences the progression and prognosis of various cancers. The novel Inflammatory Burden Index (IBI) was recently introduced as a biomarker to gauge systemic inflammation and evaluate cancer patient prognosis. However, studies investigating the relationship between IBI and mortality rates in cancer patients remain limited.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This study analyzed data from 2748 cancer patients enrolled in the National Health and Nutrition Examination Surveys between 1999 and 2018. We used weighted Cox regression analysis and restricted cubic spline models to examine the relationship between the IBI and mortality due to all causes, cardiovascular disease (CVD), and cancer. Furthermore, we employed Kaplan-Meier survival curves, subgroup analyses, and receiver operating characteristic curves to elaborate on these associations.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Over a median follow-up period of 112 months, the cohort experienced 1067 deaths, including 320 from cancer, 239 attributable to heart disease, and 508 from various other causes. The Kaplan-Meier curve indicated that individuals in the higher quartiles of the IBI faced significantly increased mortality risks compared to those in lower quartiles. Analyses using weighted Cox proportional hazards models demonstrated that subjects in the top IBI quartile were at a substantially higher risk for all-cause mortality (Hazard Ratio [HR] 2.09, 95% Confidence Interval [CI] 1.67–2.62, <i>p</i> < 0.001), CVD mortality (HR = 1.95, 95% CI= 1.18–3.23, <i>p</i> = 0.010), and cancer mortality (HR = 2.06, 95% CI = 1.31–3.26, <i>p</i> = 0.002). Furthermore, stratification and interaction analyses affirmed the uniformity of these initial findings. The areas under the curve for the 3-, 5-, and 10-year survival predictions for all-cause mortality were 0.62, 0.62, and 0.67, respectively; for cardiovascular mortality, they were 0.64, 0.64, and 0.70; and for cancer mortality, they were 0.62, 0.77, and 0.70.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>In cancer patients, higher IBI levels significantly correlate with increased mortality from all causes, CVD, and cancer-specific deaths. 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Association of the Inflammatory Burden Index With Increased Mortality Among Cancer Patients: Insights From the NHANES Study
Background
The systemic inflammatory response significantly influences the progression and prognosis of various cancers. The novel Inflammatory Burden Index (IBI) was recently introduced as a biomarker to gauge systemic inflammation and evaluate cancer patient prognosis. However, studies investigating the relationship between IBI and mortality rates in cancer patients remain limited.
Methods
This study analyzed data from 2748 cancer patients enrolled in the National Health and Nutrition Examination Surveys between 1999 and 2018. We used weighted Cox regression analysis and restricted cubic spline models to examine the relationship between the IBI and mortality due to all causes, cardiovascular disease (CVD), and cancer. Furthermore, we employed Kaplan-Meier survival curves, subgroup analyses, and receiver operating characteristic curves to elaborate on these associations.
Results
Over a median follow-up period of 112 months, the cohort experienced 1067 deaths, including 320 from cancer, 239 attributable to heart disease, and 508 from various other causes. The Kaplan-Meier curve indicated that individuals in the higher quartiles of the IBI faced significantly increased mortality risks compared to those in lower quartiles. Analyses using weighted Cox proportional hazards models demonstrated that subjects in the top IBI quartile were at a substantially higher risk for all-cause mortality (Hazard Ratio [HR] 2.09, 95% Confidence Interval [CI] 1.67–2.62, p < 0.001), CVD mortality (HR = 1.95, 95% CI= 1.18–3.23, p = 0.010), and cancer mortality (HR = 2.06, 95% CI = 1.31–3.26, p = 0.002). Furthermore, stratification and interaction analyses affirmed the uniformity of these initial findings. The areas under the curve for the 3-, 5-, and 10-year survival predictions for all-cause mortality were 0.62, 0.62, and 0.67, respectively; for cardiovascular mortality, they were 0.64, 0.64, and 0.70; and for cancer mortality, they were 0.62, 0.77, and 0.70.
Conclusion
In cancer patients, higher IBI levels significantly correlate with increased mortality from all causes, CVD, and cancer-specific deaths. This index could possess considerable diagnostic and prognostic importance, possibly acting as a new biomarker for evaluating outcomes in cancer patients.
期刊介绍:
Immunity, Inflammation and Disease is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research across the broad field of immunology. Immunity, Inflammation and Disease gives rapid consideration to papers in all areas of clinical and basic research. The journal is indexed in Medline and the Science Citation Index Expanded (part of Web of Science), among others. It welcomes original work that enhances the understanding of immunology in areas including:
• cellular and molecular immunology
• clinical immunology
• allergy
• immunochemistry
• immunogenetics
• immune signalling
• immune development
• imaging
• mathematical modelling
• autoimmunity
• transplantation immunology
• cancer immunology