<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>14(11)</volume><submitter>Dong Y</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>The relationship between the aggregate index of systemic inflammation (AISI) and the mortality risk of pan-cancer patients in the US population remains unclear. This study aimed to investigate the relationship between baseline AISI and all-cause mortality and specific types of mortality in adult cancer survivors in the United States.&lt;h4>Methods&lt;/h4>We used the data from the National Health and Nutrition Examination Survey (NHANES) from 2003 to 2018. A multivariate Cox regression analysis model was constructed to determine the relationship between baseline AISI and outcomes. Outcome events include all-cause, cardiovascular disease (CVD), and cancer-related mortality. Nonlinear correlations were analyzed via restricted cubic spline (RCS) analysis. Subgroup analysis and interaction tests were also conducted.&lt;h4>Results&lt;/h4>A total of 3,773 adult cancer survivors were recruited in this study. Among them, 1,772 (42.99%) were male, with an average age of 62.83±14.32 years. The AISI was respectively divided into the quartiles (Q1-Q4) as follows: ≤179.23, 179.24-279.03, 279.04-442.59, and >442.59. During a median follow-up period of 87 months, 1,137 (30.14%) all-cause deaths occurred. Among these deaths, 314 were attributed to CVD and 343 to cancer. For every additional standard deviation increase in AISI, the risks of all-cause mortality, CVD mortality, and cancer-related mortality increased by 16% [hazard ratio (HR) =1.16, 95% confidence interval (CI): 1.12-1.21], 21% (HR =1.21, 95% CI: 1.14-1.29), and 9% (HR =1.09, 95% CI: 1.01-1.18), respectively. The RCS analysis results showed that the AISI index had a significant linear relationship with all-cause and CVD mortality. However, AISI showed a significant nonlinear relationship with cancer-related mortality (P for nonlinearity =0.01). Similar findings were also revealed in the subgroup analysis.&lt;h4>Conclusions&lt;/h4>Elevated AISI is positively correlated with all-cause mortality in cancer survivors, and the AISI may thus serve as a valuable indicator of poor prognosis among cancer survivors.</pubmed_abstract><journal>Translational cancer research</journal><pagination>8105-8118</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12686166</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Association of the aggregate index of systemic inflammation in cancer survivors with all-cause, cardiovascular, and cancer-related mortality.</pubmed_title><pmcid>PMC12686166</pmcid><pubmed_authors>Sun L</pubmed_authors><pubmed_authors>Guo M</pubmed_authors><pubmed_authors>Fu S</pubmed_authors><pubmed_authors>Dong Y</pubmed_authors><pubmed_authors>Guo J</pubmed_authors><pubmed_authors>Xiao L</pubmed_authors><pubmed_authors>Guo H</pubmed_authors><pubmed_authors>Wen S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Association of the aggregate index of systemic inflammation in cancer survivors with all-cause, cardiovascular, and cancer-related mortality.</name><description>&lt;h4>Background&lt;/h4>The relationship between the aggregate index of systemic inflammation (AISI) and the mortality risk of pan-cancer patients in the US population remains unclear. This study aimed to investigate the relationship between baseline AISI and all-cause mortality and specific types of mortality in adult cancer survivors in the United States.&lt;h4>Methods&lt;/h4>We used the data from the National Health and Nutrition Examination Survey (NHANES) from 2003 to 2018. A multivariate Cox regression analysis model was constructed to determine the relationship between baseline AISI and outcomes. Outcome events include all-cause, cardiovascular disease (CVD), and cancer-related mortality. Nonlinear correlations were analyzed via restricted cubic spline (RCS) analysis. Subgroup analysis and interaction tests were also conducted.&lt;h4>Results&lt;/h4>A total of 3,773 adult cancer survivors were recruited in this study. Among them, 1,772 (42.99%) were male, with an average age of 62.83±14.32 years. The AISI was respectively divided into the quartiles (Q1-Q4) as follows: ≤179.23, 179.24-279.03, 279.04-442.59, and >442.59. During a median follow-up period of 87 months, 1,137 (30.14%) all-cause deaths occurred. Among these deaths, 314 were attributed to CVD and 343 to cancer. For every additional standard deviation increase in AISI, the risks of all-cause mortality, CVD mortality, and cancer-related mortality increased by 16% [hazard ratio (HR) =1.16, 95% confidence interval (CI): 1.12-1.21], 21% (HR =1.21, 95% CI: 1.14-1.29), and 9% (HR =1.09, 95% CI: 1.01-1.18), respectively. The RCS analysis results showed that the AISI index had a significant linear relationship with all-cause and CVD mortality. However, AISI showed a significant nonlinear relationship with cancer-related mortality (P for nonlinearity =0.01). Similar findings were also revealed in the subgroup analysis.&lt;h4>Conclusions&lt;/h4>Elevated AISI is positively correlated with all-cause mortality in cancer survivors, and the AISI may thus serve as a valuable indicator of poor prognosis among cancer survivors.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Nov</publication><modification>2026-06-06T00:17:02.866Z</modification><creation>2026-05-23T03:13:59.68Z</creation></dates><accession>S-EPMC12686166</accession><cross_references><pubmed>41378034</pubmed><doi>10.21037/tcr-2025-2045</doi></cross_references></HashMap>