中华流行病学杂志
中華流行病學雜誌
중화류행병학잡지
CHINESE JOURNAL OF EPIDEMIOLOGY
2009年
5期
507-510
,共4页
李海燕%吕明%陈兴栋%常建永
李海燕%呂明%陳興棟%常建永
리해연%려명%진흥동%상건영
脑胶质瘤%生存率%影响因素
腦膠質瘤%生存率%影響因素
뇌효질류%생존솔%영향인소
Glioma%Survival%Risk factors
目的 探讨影响脑胶质瘤患者术后生存的因素.方法 分析2000-2006年在山东大学齐鲁医院行手术治疗的522例脑胶质瘤患者的临床资料,随访12~72个月,选择可能影响预后的因素进行生存分析.分析方法采用Kaplan-Meier法(K-M法)、对数秩检验(Log-rank法)及Cox比例风险回归模型.结果 对数秩检验分析结果显示在α=0.05水平上,年龄、性别、手术切除程度、病理级别因素与患者的生存率有关;单因素Cox回归分析上述4个因素也均有统计学意义(P<0.05),HR值分别为0.811、1.553、1.634和1.429;多因素Cox模型显示年龄、病理分级、手术切除程度是影响患者生存的主要因素,随着肿瘤病理诊断分级恶性程度的增加HR值增加(Ⅱ、Ⅲ、Ⅳ级HR值分别为2.349、3.826、5.062),只有手术大部切除进入模型,HR值为1.459;其余因素对生存率的影响无统计学意义.结论 患病年龄、手术切除程度、病理分级及术后放疗、化疗均可能影响患者的预后.
目的 探討影響腦膠質瘤患者術後生存的因素.方法 分析2000-2006年在山東大學齊魯醫院行手術治療的522例腦膠質瘤患者的臨床資料,隨訪12~72箇月,選擇可能影響預後的因素進行生存分析.分析方法採用Kaplan-Meier法(K-M法)、對數秩檢驗(Log-rank法)及Cox比例風險迴歸模型.結果 對數秩檢驗分析結果顯示在α=0.05水平上,年齡、性彆、手術切除程度、病理級彆因素與患者的生存率有關;單因素Cox迴歸分析上述4箇因素也均有統計學意義(P<0.05),HR值分彆為0.811、1.553、1.634和1.429;多因素Cox模型顯示年齡、病理分級、手術切除程度是影響患者生存的主要因素,隨著腫瘤病理診斷分級噁性程度的增加HR值增加(Ⅱ、Ⅲ、Ⅳ級HR值分彆為2.349、3.826、5.062),隻有手術大部切除進入模型,HR值為1.459;其餘因素對生存率的影響無統計學意義.結論 患病年齡、手術切除程度、病理分級及術後放療、化療均可能影響患者的預後.
목적 탐토영향뇌효질류환자술후생존적인소.방법 분석2000-2006년재산동대학제로의원행수술치료적522례뇌효질류환자적림상자료,수방12~72개월,선택가능영향예후적인소진행생존분석.분석방법채용Kaplan-Meier법(K-M법)、대수질검험(Log-rank법)급Cox비례풍험회귀모형.결과 대수질검험분석결과현시재α=0.05수평상,년령、성별、수술절제정도、병리급별인소여환자적생존솔유관;단인소Cox회귀분석상술4개인소야균유통계학의의(P<0.05),HR치분별위0.811、1.553、1.634화1.429;다인소Cox모형현시년령、병리분급、수술절제정도시영향환자생존적주요인소,수착종류병리진단분급악성정도적증가HR치증가(Ⅱ、Ⅲ、Ⅳ급HR치분별위2.349、3.826、5.062),지유수술대부절제진입모형,HR치위1.459;기여인소대생존솔적영향무통계학의의.결론 환병년령、수술절제정도、병리분급급술후방료、화료균가능영향환자적예후.
Objective To analyze the risk factors that associated with survival of postoperative patients with glioma. Methods From 2000 to 2006, 522 patients were enrolled in our hospital and were analyzed related risk factors by using Kaplan-Meier' s Product-Limit Survival Estimates method, log-rank test and Cox' s proportional-hazards model. Analysis of data were performed in SAS 9.1. Results In univariate analysis, age, sex, extent of resection in surgery and pathological grades appeared to be associated with survival rate of the patients (α=0.05). Cox regression analysis showed these four factors were also significant (HR value 0.811, 1.553, 1.634 and 1.429, respectively). Multivariate Cox regression model also showed that age, pathological grades and extent of resection in surgery were main factors affecting the survival of the patients while HR value increased with the ascending class (2.349, 3.826, and 5.062, respectively)with only subtotal excision enter the model (HR=1.459). Other factors had no statistical importance on survival rate. Conclusion Age, extent of resection in surgery, pathological grades, chemotherapy after surgery, and radiotherapy after surgery might associate with the prognosis of the patients with glioma.