The advanced lung cancer inflammation index is the optimal inflammatory biomarker of overall survival in patients with lung cancer

Backgrounds Malnutrition and systemic inflammatory responses are associated with poor overall survival (OS) in lung cancer patients, but it remains unclear which biomarkers are better for predicting their prognosis. This study tried to determine the best one among the existing common nutrition/infla...

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Published in:Journal of cachexia, sarcopenia and muscle sarcopenia and muscle, 2022-10, Vol.13 (5), p.2504-2514
Main Authors: Song, Mengmeng, Zhang, Qi, Song, Chunhua, Liu, Tong, Zhang, Xi, Ruan, Guotian, Tang, Meng, Xie, Hailun, Zhang, Heyang, Ge, Yizhong, Li, Xiangrui, Zhang, Kangping, Yang, Ming, Li, Qinqin, Liu, Xiaoyue, Lin, Shiqi, Xu, Yu, Xu, Hongxia, Wang, Kunhua, Li, Wei, Shi, Hanping
Format: Article
Language:English
Subjects:
Age
Biomarkers
Blood platelets
Body mass index
Chemotherapy
Committees
Glucose
Hemoglobin
Inflammation
Inflammation indicators
Lung cancer
Lymphocytes
Medical prognosis
Metastasis
Neutrophils
Nutrition
Nutritional status
Original
Patients
Prognosis
Proteins
Tumors
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Summary:Backgrounds Malnutrition and systemic inflammatory responses are associated with poor overall survival (OS) in lung cancer patients, but it remains unclear which biomarkers are better for predicting their prognosis. This study tried to determine the best one among the existing common nutrition/inflammation‐based indicators of OS for patients with lung cancer. Materials and methods There were 16 nutrition or systemic inflammation‐based indicators included in this study. The cut‐off points for the indicators were calculated using maximally selected rank statistics. The OS was evaluated using the Kaplan–Meier estimator, and univariate and multivariate Cox proportional hazard models were used to determine the relationship between the indicators and OS. A time‐dependent receiver operating characteristic curves (time‐ROC) and C‐index were calculated to assess the predictive ability of the different indicators. Results There were 1772 patients with lung cancer included in this study. In univariate analysis, all 16 indicators were significantly associated with OS of the patients (all P 
ISSN:2190-5991
2190-6009
DOI:10.1002/jcsm.13032