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An Australian cardiovascular risk equation for type 2 diabetes: the Fremantle Diabetes Study.

机译:澳大利亚2型糖尿病的心血管风险方程:Fremantle糖尿病研究。

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BACKGROUND: There is no valid cardiovascular disease (CVD) risk prediction equation for Australians with diabetes. The aim of this study is to develop and validate a multivariate risk function for 5-year cardiovascular risk prediction in Australian type 2 diabetes patients. METHODS: The Fremantle Diabetes Study is a community-based longitudinal observational study. A total of 1240 type 2 diabetic patients (95.8% of the baseline cohort) with all required risk factor data were followed from baseline (1993-1996) for 5 years or until they experienced a cardiovascular event or died, whichever came first. CVD during follow up was defined as hospitalization for/with myocardial infarction or stroke, and death from cardiac or cerebrovascular causes or sudden death. Validation of the algorithm was performed on an independent diabetic cohort from the Busselton Health Study. RESULTS: During 5570 patient-years of follow up, 185 (14.9%) had at least one CVD event and 175 (14.1%) died (57.7% from CVD). Variables in the final model comprised age, sex, prior CVD, ln(urinary albumin : creatinine ratio), lnHbA(1c), ln(high density lipoprotein-cholesterol), Southern European ethnic background and Aboriginality. The mean 5-year predicted risk of a CVD event was 15.5%. Applied to the Busselton cohort, discrimination of the model was good (AUC = 0.84, P < 0.001) as was the goodness-of-fit (Hosmer-Lemeshow C-test, P= 0.85) and accuracy (mean squared error (95% confidence interval) = 0.09 (0-0.76)). The positive and negative predictive values for a 10% 5-year CVD risk cut-off were 23.4% and 97.7% respectively. CONCLUSION: This simple diabetes-specific 5-year CVD risk equation is the first validated, population-based Australian model. It should have a role in diabetes management in primary and specialist care.
机译:背景:对于澳大利亚的糖尿病患者,没有有效的心血管疾病(CVD)风险预测方程。这项研究的目的是开发和验证用于澳大利亚2型糖尿病患者5年心血管疾病风险预测的多元风险函数。方法:Fremantle糖尿病研究是一项基于社区的纵向观察研究。从基线(1993-1996年)开始,总共随访了1240名2型糖尿病患者(占基线队列的95.8%),并具有所有必要的危险因素数据,持续5年或直到他们遇到心血管事件或死亡,以先到者为准。随访期间的CVD被定义为因/患有心肌梗塞或中风而住院,以及因心脏或脑血管原因而死亡或猝死。该算法的验证是在来自Busselton Health Study的独立糖尿病队列中进行的。结果:在5570名患者-年的随访期间,有185例(14.9%)至少发生了一次CVD事件,并且有175例(14.1%)死亡(了CVD的57.7%)。最终模型中的变量包括年龄,性别,先前的CVD,ln(尿白蛋白:肌酐比),lnHbA(1c),ln(高密度脂蛋白胆固醇),南欧种族背景和原住民。 CVD事件的5年平均预测风险为15.5%。应用到Busselton队列中,模型的区分性良好(AUC = 0.84,P <0.001),拟合优度(Hosmer-Lemeshow C检验,P = 0.85)和准确性(均方误差(95%)置信区间)= 0.09(0-0.76))。 10%的5年CVD风险临界值的阳性和阴性预测值分别为23.4%和97.7%。结论:这个简单的针对糖尿病的5年CVD风险方程是第一个经过验证的基于人群的澳大利亚模型。它应在初级和专科护理中对糖尿病的治疗起作用。

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