ArticleFrontiers in nutrition2025
Association of advanced lung cancer inflammation index with all-cause and cardiovascular mortality in US patients with asthma.
Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Preoperative monocyte-to-albumin ratio predicts overall survival after hepatectomy for hepatocellular carcinoma: a single-center retrospective study.World journal of surgical oncology · 2026Article
- Prognostic significance of the advanced lung cancer inflammation index for long-term mortality in patients with acute myocardial infarction and diabetes.Frontiers in endocrinology · 2026Article
- Association between live microbe intake and depression in COPD aged 40 years and older: evidence from NHANES 2005-2018.Frontiers in nutrition · 2025Article
- Phenotypic Age Acceleration and Risk of All-Cause and Cardiovascular Mortality in US Adults With Asthma: A Retrospective Cohort Study.Dose-response : a publication of International Hormesis SocietyArticle
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Authors and funding
3 authors.
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Abstract
Background: Asthma poses a significant global health challenge, representing a chronic respiratory disorder marked by airway inflammation. The advanced lung cancer inflammation index (ALI) served as a comprehensive index to assess inflammation. However, few studies have investigated the association between ALI and both all-cause and cardiovascular mortality in US patients with asthma. Methods: We used data from the National Health and Nutrition Examination Survey (NHANES) to explore the association of ALI with all-cause and cardiovascular mortality in US patients with asthma. This study used Kaplan-Meier curves to examine the ALI index's impact on asthma patients' survival. We applied weighted Cox models and restricted cubic splines (RCS) analysis to assess the ALI-mortality link, identifying non-linear thresholds with a recursive algorithm. Subgroup analyses and sensitivity analyses were conducted, excluding those with missing covariates and cancer patients. Results: A total of 6,211 asthma patients were enrolled and categorized into three groups based on ALI tertiles. The risk of all-cause mortality decreased as ALI increased in the fully adjusted multivariate Cox regression analysis; the hazard ratio (HR) is 0.95 (95% CI: 0.91-0.99, Conclusions: This cohort study demonstrated the higher accuracy of ALI in predicting mortality in asthma patients, highlighting its important clinical value of ALI in risk assessment and prognosis evaluation.
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