Suppr超能文献

预测中青年健康工作者的致命和非致命心血管事件:IberScore 模型。

Prediction of fatal and non-fatal cardiovascular events in young and middle-aged healthy workers: The IberScore model.

机构信息

Ibermutuamur, Mutua Colaboradora con la Seguridad Social n° 274, Spain.

University Hospital 'Virgen de la Victoria', University of Malaga, Spain.

出版信息

Eur J Prev Cardiol. 2021 Apr 10;28(2):177–186. doi: 10.1177/2047487319894880. Epub 2019 Dec 18.

Abstract

AIMS

Our primary objective was to improve risk assessment for fatal and non-fatal cardiovascular events in a working population, mostly young and healthy.

METHODS

We conducted a prospective cohort study to derive a survival model to predict fatal and non-fatal 10-year cardiovascular risk. We recruited 992,523 workers, free of diagnosed cardiovascular disease at entry, over six years, from 2004-2009. We divided the sample into two independent cohorts: a derivation one (626,515 workers; from 2004-2006) and a temporal validation one (366,008 workers; over 2007-2009). Then, we followed both cohorts over 10 years and registered all fatal and non-fatal cardiovascular events. We built a new risk calculator using an estimation of cardiovascular biological age as a predictor and named it IberScore. There were remarkable differences between this new model and Systematic Coronary Risk Evaluation (SCORE) (in both the specification and the equation).

RESULTS

Over the 10-year follow-up, we found 3762 first cardiovascular events (6‰) in the derivation cohort. Most of them (80.3%) were non-fatal ischaemic events. If we had been able to use our model at the beginning of the study, we had classified in the 'high-risk' or 'very high-risk' groups 82% of those who suffered a cardiovascular event during the follow-up. All the post-estimation tests showed superior performance (true positive rate: 81.8% vs 11.8%), higher discrimination power and better clinical utility (standardised net benefit: 58% vs 13%) for IberScore when compared to SCORE.

CONCLUSION

Risk assessment of fatal and non-fatal cardiovascular events in young and healthy workers was improved when compared to the previously used model (SCORE). The latter was not reliable to predict cardiovascular risk in our sample. The new model showed superior clinical utility and provided four useful measures for risk assessment. We gained valuable insight into cardiovascular ageing and its predictors.

摘要

目的

我们的主要目标是改善工作人群(主要为年轻人和健康人群)中致命和非致命心血管事件的风险评估。

方法

我们进行了一项前瞻性队列研究,以建立一个生存模型来预测 10 年内致命和非致命的心血管风险。我们在六年内(2004-2009 年)招募了 992523 名无诊断性心血管疾病的工人。我们将样本分为两个独立的队列:一个推导队列(626515 名工人;来自 2004-2006 年)和一个时间验证队列(366008 名工人;2007-2009 年期间)。然后,我们对两个队列进行了 10 年的随访,并记录了所有致命和非致命的心血管事件。我们使用心血管生物学年龄的估计值作为预测因子构建了一个新的风险计算器,并将其命名为 IberScore。与 Systematic Coronary Risk Evaluation (SCORE) 相比,这个新模型在规格和方程上都有显著差异。

结果

在 10 年的随访期间,我们在推导队列中发现了 3762 例首次心血管事件(6‰)。其中大多数(80.3%)是非致命性缺血性事件。如果我们在研究开始时就能够使用我们的模型,那么我们将在随访期间发生心血管事件的人群中,有 82%的人分类为“高风险”或“极高风险”。所有事后估计测试都表明,与 SCORE 相比,IberScore 的表现更优(真阳性率:81.8%比 11.8%),具有更高的区分能力和更好的临床实用性(标准化净效益:58%比 13%)。

结论

与之前使用的模型(SCORE)相比,年轻健康工人的致命和非致命心血管事件风险评估得到了改善。后者在我们的样本中预测心血管风险不可靠。新模型显示出更好的临床实用性,并提供了四项有用的风险评估措施。我们对心血管老化及其预测因素有了更深入的了解。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验