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NORRISK 2:一种用于急性脑卒中和心肌梗死的挪威风险模型。

NORRISK 2: A Norwegian risk model for acute cerebral stroke and myocardial infarction.

作者信息

Selmer Randi, Igland Jannicke, Ariansen Inger, Tverdal Aage, Njølstad Inger, Furu Kari, Tell Grethe S, Klemsdal Tor Ole

机构信息

1 Norwegian Institute of Public Health, Norway.

2 Department of Global Public Health and Primary Care, University of Bergen, Norway.

出版信息

Eur J Prev Cardiol. 2017 May;24(7):773-782. doi: 10.1177/2047487317693949. Epub 2017 Feb 16.

Abstract

Background Guidelines for the prevention of cardiovascular disease recommend the estimation of an individual's total risk. We have developed a new model for the prediction of the 10-year risk of incident acute myocardial infarction or cerebral stroke based on Norwegian data, NORRISK 2. Design The model was based on 10-year follow-up of a large population-based cohort (CONOR) through linkage to the CVDNOR project, a database of cardiovascular disease hospital discharge diagnoses and mortality in Norway in 1994-2009. Methods We used the Fine and Gray regression model to estimate the 10-year risk adjusting for competing risk. The model population consisted of participants in 1994-1999 and the external validation population of participants in 2000-2003. We validated the model by area under the receiver operating characteristic curves, calibration plots and analyses of sensitivity and specificity. Results The model population consisted of 31,445 men and 35,267 women aged 40-79 years with 3658 endpoints in men and 2459 in women. The external validation population consisted of 19,980 men and 19,309 women, of whom 1858 men and 874 women had an endpoint during follow-up. The area under the curve was 0.79 (0.79-0.80) in men and 0.84 (0.83-0.85) in women in the model population and was slightly lower in the external validation population. Calibration plots showed good agreement between observed and predicted risk. The sum of sensitivity and specificity was greatest around the suggested risk thresholds. Conclusion The NORRISK 2 model showed good validity in an external dataset and will be a valuable tool to guide decisions about preventive interventions in people without known previous cardiovascular disease.

摘要

背景 心血管疾病预防指南建议评估个体的总体风险。我们基于挪威数据开发了一种新的模型,用于预测急性心肌梗死或脑卒中新发事件的10年风险,即NORRISK 2。设计 该模型基于一个大型人群队列(CONOR)的10年随访,并与CVDNOR项目相链接,CVDNOR项目是挪威1994 - 2009年心血管疾病医院出院诊断和死亡率的数据库。方法 我们使用Fine和Gray回归模型来估计竞争风险调整后的10年风险。模型人群包括1994 - 1999年的参与者,外部验证人群包括2000 - 2003年的参与者。我们通过受试者操作特征曲线下面积、校准图以及敏感性和特异性分析对模型进行了验证。结果 模型人群包括31445名40 - 79岁男性和35267名女性,男性中有3658个终点事件,女性中有2459个终点事件。外部验证人群包括19980名男性和19309名女性,其中1858名男性和874名女性在随访期间出现终点事件。模型人群中男性曲线下面积为0.79(0.79 - 0.80),女性为0.84(0.83 - 0.85),外部验证人群中的略低。校准图显示观察到的风险与预测风险之间具有良好的一致性。在建议的风险阈值附近,敏感性和特异性之和最大。结论 NORRISK 2模型在外部数据集中显示出良好的有效性,将成为指导对既往无已知心血管疾病人群进行预防性干预决策的有价值工具。

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