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本文引用的文献

1
SCORE performance in Central and Eastern Europe and former Soviet Union: MONICA and HAPIEE results.在中东欧和前苏联的 SCORE 表现:MONICA 和 HAPIEE 研究结果。
Eur Heart J. 2014 Mar;35(9):571-7. doi: 10.1093/eurheartj/eht189. Epub 2013 Jun 20.
2
Explaining the decline in coronary heart disease mortality in the Czech Republic between 1985 and 2007.解释 1985 年至 2007 年期间捷克共和国冠心病死亡率下降的原因。
Eur J Prev Cardiol. 2014 Jul;21(7):829-39. doi: 10.1177/2047487312469476. Epub 2012 Nov 24.
3
Fasting plasma glucose and HbA1c in cardiovascular risk prediction: a sex-specific comparison in individuals without diabetes mellitus.空腹血糖和糖化血红蛋白在心血管风险预测中的应用:无糖尿病个体中性别特异性的比较。
Diabetologia. 2013 Jan;56(1):92-100. doi: 10.1007/s00125-012-2707-x. Epub 2012 Sep 19.
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European Guidelines on cardiovascular disease prevention in clinical practice (version 2012). The Fifth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of nine societies and by invited experts).《欧洲临床实践心血管疾病预防指南》(2012年版)。欧洲心脏病学会及其他学会心血管疾病预防临床实践联合工作组第五版(由九个学会的代表及特邀专家组成)。
Eur Heart J. 2012 Jul;33(13):1635-701. doi: 10.1093/eurheartj/ehs092. Epub 2012 May 3.
5
Decline in mortality from coronary heart disease in Poland after socioeconomic transformation: modelling study.波兰社会经济转型后冠心病死亡率下降:建模研究。
BMJ. 2012 Jan 25;344:d8136. doi: 10.1136/bmj.d8136.
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Determinants of cardiovascular and all-cause mortality in northwest Russia: a 10-year follow-up study.俄罗斯西北部心血管疾病和全因死亡率的决定因素:一项为期 10 年的随访研究。
Ann Epidemiol. 2012 Jan;22(1):57-65. doi: 10.1016/j.annepidem.2011.08.008. Epub 2011 Oct 6.
7
The role of dietary and socioeconomic status assessment on the predictive ability of the HellenicSCORE.饮食和社会经济地位评估对 HellenicSCORE 预测能力的作用。
Hellenic J Cardiol. 2011 Sep-Oct;52(5):391-8.
8
Total cardiovascular risk approach to improve efficiency of cardiovascular prevention in resource constrain settings.采用整体心血管风险方法提高资源有限环境下心血管预防的效率。
J Clin Epidemiol. 2011 Dec;64(12):1451-62. doi: 10.1016/j.jclinepi.2011.02.001. Epub 2011 May 6.
9
Prediction of coronary heart disease risk by Framingham and SCORE risk assessments varies by socioeconomic position: results from a study in British men.弗雷明汉和SCORE风险评估对冠心病风险的预测因社会经济地位而异:一项针对英国男性的研究结果
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10
National, regional, and global trends in serum total cholesterol since 1980: systematic analysis of health examination surveys and epidemiological studies with 321 country-years and 3·0 million participants.自 1980 年以来血清总胆固醇的国家、地区和全球趋势:对 321 个国家年和 300 万参与者的健康检查调查和流行病学研究的系统分析。
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纳入教育和婚姻状况是否能改善中东欧及前苏联地区的SCORE模型表现?来自MONICA和HAPIEE队列研究的结果。

Does inclusion of education and marital status improve SCORE performance in central and eastern europe and former soviet union? findings from MONICA and HAPIEE cohorts.

作者信息

Vikhireva Olga, Broda Grazyna, Kubinova Ruzena, Malyutina Sofia, Pająk Andrzej, Tamosiunas Abdonas, Skodova Zdena, Simonova Galina, Bobak Martin, Pikhart Hynek

机构信息

Epidemiology and Public Health Department, University College London, London, United Kingdom.

Department of CVD Epidemiology, Prevention, and Health Promotion, the Cardinal Stefan Wyszynski Institute of Cardiology, Warsaw, Poland.

出版信息

PLoS One. 2014 Apr 8;9(4):e94344. doi: 10.1371/journal.pone.0094344. eCollection 2014.

DOI:10.1371/journal.pone.0094344
PMID:24714549
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3979770/
Abstract

BACKGROUND AND OBJECTIVE

The SCORE scale predicts the 10-year risk of fatal atherosclerotic cardiovascular disease (CVD), based on conventional risk factors. The high-risk version of SCORE is recommended for Central and Eastern Europe and former Soviet Union (CEE/FSU), due to high CVD mortality rates in these countries. Given the pronounced social gradient in cardiovascular mortality in the region, it is important to consider social factors in the CVD risk prediction. We investigated whether adding education and marital status to SCORE benefits its prognostic performance in two sets of population-based CEE/FSU cohorts.

METHODS

The WHO MONICA (MONItoring of trends and determinants in CArdiovascular disease) cohorts from the Czech Republic, Poland (Warsaw and Tarnobrzeg), Lithuania (Kaunas), and Russia (Novosibirsk) were followed from the mid-1980s (577 atherosclerotic CVD deaths among 14,969 participants with non-missing data). The HAPIEE (Health, Alcohol, and Psychosocial factors In Eastern Europe) study follows Czech, Polish (Krakow), and Russian (Novosibirsk) cohorts from 2002-05 (395 atherosclerotic CVD deaths in 19,900 individuals with non-missing data).

RESULTS

In MONICA and HAPIEE, the high-risk SCORE ≥5% at baseline strongly and significantly predicted fatal CVD both before and after adjustment for education and marital status. After controlling for SCORE, lower education and non-married status were significantly associated with CVD mortality in some samples. SCORE extension by these additional risk factors only slightly improved indices of calibration and discrimination (integrated discrimination improvement <5% in men and ≤1% in women).

CONCLUSION

Extending SCORE by education and marital status failed to substantially improve its prognostic performance in population-based CEE/FSU cohorts.

摘要

背景与目的

SCORE量表基于传统风险因素预测致死性动脉粥样硬化性心血管疾病(CVD)的10年风险。由于中东欧和前苏联(CEE/FSU)国家的CVD死亡率较高,因此推荐在这些地区使用SCORE高危版本。鉴于该地区心血管疾病死亡率存在明显的社会梯度差异,在CVD风险预测中考虑社会因素非常重要。我们研究了在两组基于人群的CEE/FSU队列中,将教育程度和婚姻状况纳入SCORE量表是否能改善其预后性能。

方法

对来自捷克共和国、波兰(华沙和塔尔诺布热格)、立陶宛(考纳斯)和俄罗斯(新西伯利亚)的世界卫生组织MONICA(心血管疾病趋势和决定因素监测)队列进行了随访,随访时间从20世纪80年代中期开始(14969名无缺失数据的参与者中有577例动脉粥样硬化性CVD死亡)。HAPIEE(东欧的健康、酒精和社会心理因素)研究对2002年至2005年期间的捷克、波兰(克拉科夫)和俄罗斯(新西伯利亚)队列进行了随访(19900名无缺失数据的个体中有395例动脉粥样硬化性CVD死亡)。

结果

在MONICA和HAPIEE队列中,基线时高危SCORE≥5%在调整教育程度和婚姻状况前后均能强烈且显著地预测致死性CVD。在控制SCORE后,较低的教育程度和未婚状态在一些样本中与CVD死亡率显著相关。通过这些额外风险因素扩展SCORE仅略微改善了校准和区分指数(男性的综合区分改善<5%,女性≤1%)。

结论

在基于人群的CEE/FSU队列中,通过教育程度和婚姻状况扩展SCORE未能显著改善其预后性能。