首页|胃癌根治术后奥沙利铂联合卡培他滨辅助化疗患者预后的影响因素分析及列线图模型构建

胃癌根治术后奥沙利铂联合卡培他滨辅助化疗患者预后的影响因素分析及列线图模型构建

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目的 分析胃癌根治术后奥沙利铂联合卡培他滨辅助化疗患者预后的影响因素,并构建预后列线图模型.方法 232例胃癌患者均行胃癌根治切除术及D2淋巴结清扫术,术后采用奥沙利铂联合卡培他滨化疗.对所有患者随访3年,根据随访期间的生存情况,将患者分为生存组和死亡组,比较两组患者的临床特征.采用Cox风险比例回归模型分析胃癌患者预后的影响因素并构建列线图预测模型,采用校正曲线、决策曲线验证列线图模型的预测效能及可靠性.结果 死亡组(n=85)肿瘤大小≥5 cm、胃切除方式为全胃切除术、TNM分期为Ⅲ期、中性粒细胞与淋巴细胞比值(NLR)≥4、癌胚抗原(CEA)≥6 ng/ml、预后营养指数(PNI)<45患者比例均明显高于生存组(n=147),差异均有统计学意义(P<0.01).Cox回归分析结果显示,肿瘤大小≥5 cm、胃切除方式为全胃切除术、TNM分期为Ⅲ期、NLR≥4、CEA≥6 ng/ml、PNI<45均是胃癌患者预后不良的危险因素(P<0.05).该列线图模型预测胃癌患者预后的C指数为0.933(95%CI:0.901~0.964),该列线图模型的校准曲线在对患者预后风险的观测值和预测值之间表现出高度一致性.该列线图模型的阈值>0.04,其临床净收益显著高于肿瘤大小、胃切除方式、TNM分期、NLR、CEA、PNI单一预测因子.结论 肿瘤大小≥5 cm、胃切除方式为全胃切除术、TNM分期为Ⅲ期、NLR≥4、CEA≥6 ng/ml、PNI<45均是胃癌根治术后奥沙利铂联合卡培他滨辅助化疗患者预后不良的危险因素,基于此构建的列线图预测模型预测价值较高,可为临床改善患者预后提供依据.
Analysis of prognostic factors and construction of nomogram model in patients undergoing oxaliplatin combined with capecitabine adjuvant chemotherapy after radical gastrectomy for gastric cancer
Objective To analyze the prognostic factors of patients undergoing oxaliplatin combined with capecitabi-ne adjuvant chemotherapy after radical gastrectomy for gastric cancer,and to construct a nomogram model.Method A total of 232 patients with gastric cancer underwent radical gastrectomy and D2 lymph node dissection,and were treated with oxaliplatin combined with capecitabine adjuvant chemotherapy after surgery.All patients were followed up for 3 years,the patients were divided into survival group and death group according to the survival status during follow up,and the clinical characteristics of the two groups were compared.Cox proportional hazards regression model was used to an-alyze the influencing factors for prognosis of gastric cancer patients and to construct a nomogram prediction model.Cal-ibration curve and decision curve were used to verify the prediction efficiency and reliability of the nomogram model.Result The proportion of patients with tumor size≥5 cm,total gastrectomy,TNM stage Ⅲ,neutrophil-to-lymphocyte ratio(NLR)≥4,carcinoembryonic antigen(CEA)≥6 ng/ml and prognostic nutritional index(PNI)<45 in death group(n=85)were significantly higher than those in survival group(n=147),and the differences were statistically significant(P<0.01).Cox regression analysis showed that tumor size≥5 cm,total gastrectomy,TNM stage Ⅲ,NLR≥4,CEA≥6 ng/ml,and PNI<45 were risk factors for poor prognosis of gastric cancer patients(P<0.05).The C-index of this nomogram model for predicting prognosis of patients with gastric cancer was 0.933(95%CI:0.901-0.964),and the calibration curve showed high agreement between the observed and predicted values of patient prognosis risk.The threshold of this nomo-gram model was>0.04,and its clinical net benefit was significantly higher than the single predictor of tumor size,gastric resection method,TNM stage,NLR,CEA,and PNI.Conclusion Tumor size≥5 cm,total gastrectomy,TNM stage Ⅲ,NLR≥4,CEA≥6 ng/ml,and PNI<45 are risk factors for poor prognosis of patients undergoing oxaliplatin combined with capecitabine adjuvant chemotherapy after radical gastrectomy for gastric cancer.The nomogram prediction model based on this has high predictive value and can provide basis for improving the prognosis of patients.

radical gastrectomy for gastric canceroxaliplatin combined with capecitabine adjuvant chemotherapynomogram model

张桂青、薛小燕、曹燕

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赣州市人民医院药剂科,江西赣州 341000

寻乌县人民医院药剂科,江西 寻乌 342200

胃癌根治术 奥沙利铂联合卡培他滨辅助化疗 列线图模型

赣州市指导性科技计划项目

GZ2020ZSF208

2024

癌症进展
中国医学科学院,北京协和医学院

癌症进展

影响因子:1.004
ISSN:1672-1535
年,卷(期):2024.22(12)