摘要
目的探讨预后营养指数(PNI)与胸腺瘤术后患者总生存率的相关性。方法回顾性分析173例胸腺瘤术后患者的临床病理资料。结果手术是否R0切除(P<0.001)、是否合并重症肌无力(P<0.001)、Masaoka分期(Ⅱ/Ⅰ:P=0.012;Ⅲ&Ⅳ/Ⅰ:P=0.011)、WHO分型(P<0.001)和PNI(P=0.016)是影响胸腺瘤术后患者总生存率的独立危险因素。分层分析结果显示,在PNI高值组(PNI>45)中手术是否R0切除(P=0.001)和是否合并重症肌无力(P=0.039)是影响患者总生存率的独立危险因素;在PNI低值组(PNI≤45)中Masaoka分期(Ⅱ/Ⅰ:P=0.012;Ⅲ&Ⅳ/Ⅰ:P=0.048)、WHO分型(P=0.039)、手术是否R0切除(P<0.001)和是否合并重症肌无力(P<0.001)是影响患者总生存率的独立危险因素。合并有重症肌无力的患者容易出现PNI降低。结论胸腺瘤患者术后总生存率与Masaoka分期、WHO分型、手术是否完整切除、是否合并重症肌无力和预后营养指数密切相关。对于存在重症肌无力的胸腺瘤患者PNI较低,总生存率较低,应常规监测PNI。
Objective To evaluate the correlation of prognostic nutritional index(PNI)with overall survival of postoperative patients with thymoma.Methods The clinical and pathological data of 173 postoperative patients with thymoma were analyzed retrospectively.Results R0 resection(P<0.001),myasthenia gravis(P<0.001),Masaoka stage(Ⅱ/Ⅰ:P=0.012;Ⅲ&Ⅳ/Ⅰ:P=0.011),WHO type(P<0.001)and PNI(P=0.016)were independent risk factors for OS of postoperative patients with thymoma.R0 resection(P=0.001)and myasthenia gravis(P=0.039)were independent risk factors for OS of higher PNI group(PNI>45);and Masaoka stage(Ⅱ/Ⅰ:P=0.012;Ⅲ&Ⅳ/Ⅰ:P=0.048),WHO type(P=0.039),R0 resection(P<0.001)and myasthenia gravis(P<0.001)were independent risk factors for OS of lower PNI group(PNI≤45).Patients with myasthenia gravis are prone to have a decreased PNI.Conclusion Complete resection,myasthenia gravis,Masaoka stage,WHO type and PNI are independent prognostic factors for postoperative patients with thymoma.Thymoma patients with myasthenia gravis have lower PNI and OS.PNI should be routinely monitored in thymoma patients with myasthenia gravis.
作者
王岩
曹玉
殷金环
刘俊峰
WANG Yan;CAO Yu;YIN Jinhuan;LIU Junfeng(Department of Thoracic Surgery,The Fourth Hospital of Hebei Medical University,Shijiazhuang 050011,China;Tumor Research Institute,The Fourth Hospital of Hebei Medical University,Shijiazhuang 050011,China)
出处
《肿瘤防治研究》
CAS
CSCD
2021年第2期140-144,共5页
Cancer Research on Prevention and Treatment
基金
河北省卫生健康委医学课题重点项目(20 160178)。
关键词
胸腺瘤
手术
预后营养指数
生存分析
Thymoma
Surgery
Prognostic nutritional index
Survival analysis