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logistic回归模型在抗甲状腺药物治疗Graves病的预后估价

Evaluation of a logistic Regression Model in Predicting the Prognosis of Graves’ Disease Treated by Antithyroid Drugs

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【作者】 魏松全潘晓平梁正路许淑惠承永明李进前

【Author】 Wei Songquan;Pan Xiaoping;Liang Zhenglu;Xu Shuhui;Cheng Yongming;Li Jinqian The First Affiliated Hospitol

【机构】 华西医科大学内分泌科华西医科大学统计学教研室华西医科大学核医学科华西医科大学检验科华西医科大学核医学科

【摘要】 对111例Graves病初发患者用他巴唑治疗6月,停药后随访1年。根据病人一般临床及生化特征,用logistic回归分析法,建立了一个具有4个指标的数学预测模型,其预测停药后1年的预后,具有较高的敏感性(81.5%)和特异性(84.8%),符合率达82.9%(92/111),其结果优于本资料中任何有预测意义的单因素分析。

【Abstract】 One hundred and twelvenew cases of Graves′disease were treatedby tapazole for 6 monsths and followed upfor another 12 months. The initial dosewas 30 mg/d. Clinical and biochemical eu-thyroidism was achieved within 1 to 3months, then a maintenance was givenuntil cessation of drugs at 6 mouths.Onehundred and eleven cases completedthe study. Remission and relapse weredefined at the end of follow-up for 1 yearaccording to the presence or absence ofclinical manifestation of hyperthyroidismand the levels of T3 and T4. The results of the 12-month follow-upShowed that 46 of 111 cases were in remis-sion, and the remaining 65 cases sufferedrelapse. A logistic regression model with4 variables was established, which includ-ed thyroid suppression rate and goitre sizeby palpation at the end of drug treat-ment, the level of T3 before therapy,and the patients′age. The model had 81.5%sensitivity, 84.8% specificity and 82. 9%(92/111) accuracy in predicting the out-come of Graves′disease after withdrawalof drug for 1 year. The results were muchbetter than any other univariate analysisin this study.

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