Association of aggregate index of systemic inflammation with increased all-cause and cardiovascular mortality in female cancer patients DOI Creative Commons
Yongqiang Yang, Zelin Hu, Yuqin Ye

et al.

Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 15

Published: April 29, 2025

Background Cancer is a leading cause of death, especially among women, with cancers like breast, ovarian, and cervical cancer presenting unique diagnostic treatment challenges. Systemic inflammation plays significant role in progression, affecting both tumor development therapeutic outcomes. Despite the established link between cancer, comprehensive studies on prognostic value Aggregate Index Inflammation (AISI) female patients are lacking. This study explores association AISI mortality outcomes, including all-cause cardiovascular mortality, patients. Methods analyzes data from NHANES database Dandong Central Hospital. Kaplan-Meier survival curves multivariable Cox proportional hazards regression analyses were used to assess relationship mortality. Restricted cubic spline plots subgroup applied explore potential interactions. Results Elevated levels strongly associated increased Patients highest quartile demonstrated significantly higher risks compared those lowest quartile. ROC curve analysis indicated superior predictive performance over SII. revealed linear relationship, risk notably increasing when elevated. Conclusion robust predictor Its ease measurement strong make it valuable tool for assessment management this population.

Language: Английский

Utilization of TEP miRNAs in tumor proliferation, diagnostic evaluation, therapeutic intervention, and prognostic assessment DOI
Yuhan Wang, Ling Jiang, Jie Wang

et al.

Molecular Biology Reports, Journal Year: 2025, Volume and Issue: 52(1)

Published: March 26, 2025

Language: Английский

Citations

0
Association of aggregate index of systemic inflammation with increased all-cause and cardiovascular mortality in female cancer patients DOI Creative Commons
Yongqiang Yang, Zelin Hu, Yuqin Ye

et al.

Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 15

Published: April 29, 2025

Background Cancer is a leading cause of death, especially among women, with cancers like breast, ovarian, and cervical cancer presenting unique diagnostic treatment challenges. Systemic inflammation plays significant role in progression, affecting both tumor development therapeutic outcomes. Despite the established link between cancer, comprehensive studies on prognostic value Aggregate Index Inflammation (AISI) female patients are lacking. This study explores association AISI mortality outcomes, including all-cause cardiovascular mortality, patients. Methods analyzes data from NHANES database Dandong Central Hospital. Kaplan-Meier survival curves multivariable Cox proportional hazards regression analyses were used to assess relationship mortality. Restricted cubic spline plots subgroup applied explore potential interactions. Results Elevated levels strongly associated increased Patients highest quartile demonstrated significantly higher risks compared those lowest quartile. ROC curve analysis indicated superior predictive performance over SII. revealed linear relationship, risk notably increasing when elevated. Conclusion robust predictor Its ease measurement strong make it valuable tool for assessment management this population.

Language: Английский

Citations

0