UKPDS 60:由英国前瞻性糖尿病研究风险引擎估计的2型糖尿病卒中风险

V. Kothari, R. Stevens, A. Adler, I. Stratton, S. Manley, H. Neil, R. Holman
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引用次数: 433

摘要

背景和目的- 2型糖尿病患者比非糖尿病患者中风的风险更高。在早期的研究中已经研究了相对风险,但目前还没有现成的方法来预测糖尿病患者中风的绝对风险。我们利用英国前瞻性糖尿病研究中4549名新诊断的2型糖尿病患者的数据,建立了数学模型来估计首次中风的风险。方法:在30700人年的随访中,发生了188例首次中风(52例死亡)。模型拟合采用Newton-Raphson法进行极大似然估计。诊断图用于比较模型计算的生存概率与使用非参数方法计算的生存概率。结果-最终模型中包含的变量包括糖尿病持续时间、年龄、性别、吸烟、收缩压、总胆固醇与高密度脂蛋白胆固醇之比和房颤的存在。该模型不包括身体质量指数、糖化血红蛋白、种族和戒烟状况。通过一个假设的研究功率计算来说明该模型的使用。结论:该模型使用常规临床实践中容易获得的变量预测2型糖尿病患者首次中风的绝对风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UKPDS 60: Risk of Stroke in Type 2 Diabetes Estimated by the UK Prospective Diabetes Study Risk Engine
Background and Purpose— People with type 2 diabetes are at elevated risk of stroke compared with those without diabetes. Relative risks have been examined in earlier work, but there is no readily available method for predicting the absolute risk of stroke in a diabetic individual. We developed mathematical models to estimate the risk of a first stroke using data from 4549 newly diagnosed type 2 diabetic patients enrolled in the UK Prospective Diabetes Study. Methods— During 30 700 person-years of follow-up, 188 first strokes (52 fatal) occurred. Model fitting was carried out by maximum likelihood estimation using the Newton-Raphson method. Diagnostic plots were used to compare survival probabilities calculated by the model with those calculated using nonparametric methods. Results— Variables included in the final model were duration of diabetes, age, sex, smoking, systolic blood pressure, total cholesterol to high-density lipoprotein cholesterol ratio and presence of atrial fibrillation. Not included in the model were body mass index, hemoglobin A1c, ethnicity, and ex-smoking status. The use of the model is illustrated with a hypothetical study power calculation. Conclusions— This model forecasts the absolute risk of a first stroke in people with type 2 diabetes using variables readily available in routine clinical practice.
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