顾东风院士团队:国人脑卒中风险精准预测方程优于弗明翰模型

2019-08-14 佚名 中国循环杂志

脑卒中是国人致死致残首位原因,有研究显示,国人脑卒中发病风险全球最高。那么,我们如何比较精确评估自己的脑卒中发病风险?中国医学科学院阜外医院顾东风院士团队建立一种新的China-PAR脑卒中风险预测方程,为个体化预测脑卒中10年和终生的发病风险提供了依据。研究者介绍,该研究应用China-PAR队列总样本达12.7万人的前瞻性长期随访数据,构建了脑卒中发病风险预测模型。首先在两个前瞻性队列Chin

卒中是国人致死致残首位原因,有研究显示,国人脑卒中发病风险全球最高。

那么,我们如何比较精确评估自己的脑卒中发病风险?

中国医学科学院阜外医院顾东风院士团队建立一种新的China-PAR脑卒中风险预测方程,为个体化预测脑卒中10年和终生的发病风险提供了依据。

研究者介绍,该研究应用China-PAR队列总样本达12.7万人的前瞻性长期随访数据,构建了脑卒中发病风险预测模型。

首先在两个前瞻性队列China MUCA(1998)和InterASIA共2.1万名研究对象、平均随访12.3年的数据上进行建模;

之后又在包括近8.5万研究对象的独立队列进行验证。

结果显示,China-PAR脑卒中发病风险预测模型可较为精确预测我国男性和女性的脑卒中10年和终生发病风险,观察到的脑卒中发病风险与风险预测值一致性良好。


注:所用队列为China MUCA(1992~1994)队列;脑卒中终生风险模型通过预测15年发病风险进行验证

图1China-PAR脑卒中10年风险(男性A图,女性B图)和终生风险(男性C图,女性D图)预测值与实际观察值的校准图

值得注意的是,10年脑卒中风险与终生风险并不等同,研究显示,35~49岁人群中有5.7%其10年脑卒中风险较低,但其终生脑卒中风险却较高。

研究者指出,年龄是决定10年脑卒中风险的重要因素,很多年轻个体虽然其10年风险低,但由于其随着年龄的增长,风险逐渐累积,终生风险并不低。

尤其是年轻男士,其脑卒中终生风险较高。

研究者还将China-PAR脑卒中风险方程与新版Framingham脑卒中风险评估算法进行了比较,结果显示,China-PAR预测模型在55~74岁这一人群中预测能力更好。

其中,新版Framingham脑卒中风险评估算法较之China-PAR预测模型,对中国男士和女士脑卒中10年风险或分别低估40.2%和53.3%。

China-PAR脑卒中发病风险预测模型更为适宜中国人群,主要原因是基于本土化的大规模前瞻性研究数据、随访调查质量较高、最长随访达23年。

另外,也与建模时考虑纳入的因素有关。

据悉,China-PAR脑卒中风险预测模型,除了纳入现有脑卒中风险预测所考虑的年龄、治疗和未治疗的收缩压、当前是否吸烟、是否患糖尿病、总胆固醇和高密度脂蛋白胆固醇水平等6个主要风险因素外,还纳入了能体现我国人群脑卒中风险特征的因素:

男性和女性模型中均考虑了城镇化(是否为城市居民)和居住地(南/北方)因素,此外男性模型还纳入父母亲脑卒中病史;

女性模型还纳入了腰围,预测能力提升优于体重指数。

因此,China-PAR脑卒中风险预测模型,与美国新版Framingham脑卒中风险评估算法相比,更加适合于中国成年人的脑卒中发病风险评估,为基层的脑卒中一级预防提供了重要依据。

文章于8月8日在线发表于Stroke杂志,通讯作者为阜外医院、国家心血管病中心流行病学研究部杨学礼副研究员。

来源:

Xing X, Yang X, Liu F, et al. Predicting 10-Year and Lifetime Stroke Risk in Chinese Population. Stroke. 2019 Aug 8: STROKEAHA119025553.

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    2020-07-13 wwzzly
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    2019-08-14 健健

    卒中虽然是临床上常见病,溶栓,取栓等血管内治疗也很成熟,但是仍然有很多未知问题有待认知!

    0

  5. [GetPortalCommentsPageByObjectIdResponse(id=1819933, encodeId=1370181993307, content=<a href='/topic/show?id=644a100144e7' target=_blank style='color:#2F92EE;'>#顾东风#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=100144, encryptionId=644a100144e7, topicName=顾东风)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b96f328, createdName=wwzzly, createdTime=Mon Jul 13 12:42:00 CST 2020, time=2020-07-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1281318, encodeId=6dfb12813181c, content=<a href='/topic/show?id=455f36085f0' target=_blank style='color:#2F92EE;'>#卒中风险#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=34, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=36085, encryptionId=455f36085f0, topicName=卒中风险)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=a8f1167, createdName=wmr111, createdTime=Fri Aug 16 07:42:00 CST 2019, time=2019-08-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1403432, encodeId=55a61403432ef, content=<a href='/topic/show?id=ebbde6353be' target=_blank style='color:#2F92EE;'>#精准#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=28, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=76353, encryptionId=ebbde6353be, topicName=精准)], attachment=null, authenticateStatus=null, createdAvatar=https://thirdwx.qlogo.cn/mmopen/vi_32/DYAIOgq83epQX9hfEIBiaPg0e9KvLYVBCSGYydH6K6OQxBh3RaOC0TYP9HYy2v0XdHib1LFnZNU5Siak0P8oh8Aqw/132, createdBy=acd92440184, createdName=shijzhiewnjhch, createdTime=Fri Aug 16 07:42:00 CST 2019, time=2019-08-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1026431, encodeId=a77d1026431fd, content=卒中虽然是临床上常见病,溶栓,取栓等血管内治疗也很成熟,但是仍然有很多未知问题有待认知!, beContent=null, objectType=article, channel=null, level=null, likeNumber=44, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=健健, createdTime=Wed Aug 14 19:42:00 CST 2019, time=2019-08-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1045883, encodeId=d6691045883e4, content=中风是俗称,应该称为缺血性卒中吧, beContent=null, objectType=article, channel=null, level=null, likeNumber=40, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=guging, createdTime=Wed Aug 14 19:42:00 CST 2019, time=2019-08-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047729, encodeId=35ca104e729ea, content=梅斯里提供了很多疾病的模型计算公式,赞一个!, beContent=null, objectType=article, channel=null, level=null, likeNumber=33, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Wed Aug 14 19:42:00 CST 2019, time=2019-08-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1049125, encodeId=67041049125e8, content=院士是学术至高点,也是大家必争之地呀, beContent=null, objectType=article, channel=null, level=null, likeNumber=26, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=junJUN, createdTime=Wed Aug 14 19:42:00 CST 2019, time=2019-08-14, status=1, ipAttribution=)]
    2019-08-14 guging

    中风是俗称,应该称为缺血性卒中吧

    0

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    2019-08-14 CHANGE

    梅斯里提供了很多疾病的模型计算公式,赞一个!

    0

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    2019-08-14 junJUN

    院士是学术至高点,也是大家必争之地呀

    0

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