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白蛋白校正阴离子间隙预测晚期肺癌免疫治疗预后的临床价值:一项回顾性队列研究

Clinical Value of Albumin-Corrected Anion Gap in Predicting Prognosis of Patients with Advanced Lung Cancer Treated with Immunotherapy: A Retrospective Cohort Study

  • 摘要:
    目的 探讨白蛋白校正阴离子间隙(ACAG)在晚期肺癌患者接受免疫检查点抑制剂 ICIs)治疗中的预后价值。
    方法 收集637例接受ICIs治疗的晚期肺癌患者的基线临床资料及实验室检查指标,计算ACAG。使用X-Tile软件确定ACAG的最佳预后临界值(11.58 mmol/L),将患者分为ACAG低值组(≤11.58 mmol/L)与高值组(>11.58 mmol/L)。为控制混杂因素,对两组患者进行倾向性评分匹配。采用Kaplan-Meier法绘制生存曲线,使用Cox比例风险回归模型分析预后影响因素,并进行亚组分析。
    结果 637例患者,匹配后队列为440例。多因素Cox分析显示,在调整了临床及实验室指标后,ACAG>11.58 mmol/L是OS的独立危险因素(HR=1.74, 95%CI: 1.02~2.98, P=0.044),但并非PFS的独立预测因子。分层分析进一步证实,ACAG>11.58 mmol/L在不同程度的协变量调整后均与OS缩短显著相关。生存曲线显示,高ACAG组中位OS(47.0个月)显著低于低ACAG组。亚组分析表明,ACAG对OS的预测价值在男性、年龄<65岁及肺鳞癌患者中更为显著。
    结论 在接受ICIs治疗的晚期肺癌患者中,较高的基线ACAG水平(>11.58 mmol/L)是OS缩短的独立危险因素,但其与PFS无显著关联。ACAG或可作为一个简便、有效的生物学指标,用于评估晚期肺癌患者免疫治疗的总生存预后。

     

    Abstract:
    Objective To investigate the prognostic value of albumin-corrected anion gap (ACAG) in patients with advanced lung cancer receiving immune checkpoint inhibitors (ICIs).
    Methods A total of 637 patients with advanced lung cancer who received ICI treatment were enrolled. Baseline clinical data and laboratory parameters were collected, and ACAG was calculated. The optimal prognostic Cut-off value for ACAG (11.58 mmol/L) was determined using X-Tile software, and patients were divided into low (≤11.58 mmol/L) and high (>11.58 mmol/L) ACAG groups. Propensity score matching was performed to control for confounding factors. Survival curves were plotted using the Kaplan-Meier method. A Cox proportional hazards regression model was employed to analyze prognostic factors, and subgroup analyses were conducted.
    Results Among 637 patients, 440 patients remained in the matched cohort. Multivariate Cox analysis showed that after adjusting for clinical and laboratory parameters, ACAG >11.58 mmol/L was an independent risk factor for OS (HR=1.74, 95%CI: 1.02–2.98, P=0.044) but was not an independent predictor for PFS. After adjusting for different sets of covariates, stratified analysis further confirmed that ACAG >11.58 mmol/L was consistently associated with a significantly shortened OS. Survival curves demonstrated that the median OS in the high ACAG group (47.0 months) was significantly lower than that in the low ACAG group. Subgroup analysis indicated that the predictive value of ACAG for OS was more pronounced in males, patients aged <65 years, and patients with squamous cell carcinoma than in other patients.
    Conclusion In patients with advanced lung cancer treated with ICIs, a high baseline ACAG level (>11.58 mmol/L) is an independent risk factor for shortened OS but is not significantly associated with PFS. ACAG may serve as a simple and effective biological marker for assessing overall survival prognosis in patients with advanced lung cancer undergoing immunotherapy.

     

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