Hu Zhonghui, Wu Wenbo, Zhang Xiaopeng, Li Ping, Zhang Hua, Wang Huien, Xue Wenfei, Chen Zhiguo, Zhao Qingtao, Duan Guochen
Department of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, People's Republic of China.
Graduate School, Hebei Medical University, Shijiazhuang, People's Republic of China.
Cancer Manag Res. 2021 Feb 26;13:2047-2055. doi: 10.2147/CMAR.S295952. eCollection 2021.
Advanced lung cancer inflammation index (ALI) has been shown to predict overall survival (OS) in advanced non small-cell lung cancer (NSCLC), small-cell lung cancer (SCLC) and operable NSCLC. However, there were no studies of the correlation between ALI and operable SCLC. Therefore, this study is aimed to explore the relationship between ALI and the prognosis of operable SCLC.
A total of 48 patients with SCLC who underwent surgery at Hebei General Hospital and Zigong First People's Hospital were screened between 2016 and 2020. ALI was calculated as follows: body mass index (BMI, kg/m)×serum albumin (ALB, g/dL)/neutrophil to lymphocyte ratio (NLR). Receiver operating characteristic (ROC) curve was used to determine the optimal cutoff value of ALI. Patients were divided into two groups according to the cutoff point of ALI: low ALI group with ALI<48.2 and high ALI group with ALI≥48.2. Kaplan-Meier and Cox regression analysis were performed to assess the potential prognostic factors associated with OS.
The optimal cutoff value of ALI was determined as 48.2. The low ALI group displayed more adverse clinical characteristics and poorer survival rates. Multivariate analysis revealed that ALI and Charlson comorbidity index (CCI) were significantly correlated with OS.
Low ALI was correlated with poor prognosis in patients with SCLC who underwent surgery. Preoperative ALI might serve as a potential prognostic marker for patients with operable SCLC.
晚期肺癌炎症指数(ALI)已被证明可预测晚期非小细胞肺癌(NSCLC)、小细胞肺癌(SCLC)及可手术切除的NSCLC患者的总生存期(OS)。然而,尚无关于ALI与可手术切除的SCLC之间相关性的研究。因此,本研究旨在探讨ALI与可手术切除的SCLC患者预后的关系。
2016年至2020年期间,对河北医科大学第二医院和自贡市第一人民医院共48例行手术治疗的SCLC患者进行筛选。ALI的计算方法如下:体重指数(BMI,kg/m²)×血清白蛋白(ALB,g/dL)/中性粒细胞与淋巴细胞比值(NLR)。采用受试者工作特征(ROC)曲线确定ALI的最佳临界值。根据ALI的临界值将患者分为两组:ALI<48.2的低ALI组和ALI≥48.2的高ALI组。采用Kaplan-Meier法和Cox回归分析评估与OS相关的潜在预后因素。
ALI的最佳临界值确定为48.2。低ALI组表现出更多不良临床特征且生存率更低。多因素分析显示,ALI和Charlson合并症指数(CCI)与OS显著相关。
低ALI与接受手术治疗的SCLC患者预后不良相关。术前ALI可能作为可手术切除的SCLC患者的潜在预后标志物。