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基于年龄和性别的冠状动脉钙评分百分位的汇总分析。

A pooled-analysis of age and sex based coronary artery calcium scores percentiles.

机构信息

Department of Vascular Medicine, Amsterdam University Medical Center, Academic Medical Centre, Meibergdreef 5, 1105, AZ, Amsterdam, the Netherlands; Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Center, Location Academic Medical Centre, Meibergdreef 5, 1105, AZ, Amsterdam, the Netherlands.

Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Location Academic Medical Centre, Meibergdreef 5, 1105, AZ, Amsterdam, the Netherlands.

出版信息

J Cardiovasc Comput Tomogr. 2020 Sep-Oct;14(5):414-420. doi: 10.1016/j.jcct.2020.01.006. Epub 2020 Jan 27.

Abstract

BACKGROUND

Age and sex based coronary artery calcium score (CAC) percentiles have been used to improve coronary artery disease (CAD) risk prediction. However, the main limitation of the CACs percentiles currently in use is that they are often based on single studies. We performed a pooled analysis of all available studies that reported on CAC percentiles, in order to develop more generalizable age and sex nomograms.

METHODS

PubMed/Medline and Embase were searched for studies that reported nomograms of age and sex-based CACs percentiles. Studies were included if they reported data collected among asymptomatic individuals without a history of cardiovascular disease. Absolute CACs for each specific percentile stratum were pooled and new percentiles were generated taking into account the sample size of the study.

RESULTS

We found 831 studies, of which 12 met the inclusion criteria. Data on CACs percentiles of 134,336 Western and 33,488 Asians were pooled separately, rendering a weighted CACs percentile nomogram available at https://www.calciumscorecalculator.com. Our weighted percentiles differed by up to 24% from the nomograms in use today.

CONCLUSIONS

Our pooled age and sex based CACs percentiles based on over 155,000 individuals should provide a measure of risk that is more applicable to a wider population than the ones currently in use and hopefully will lead to better risk assessment and treatment decisions.

摘要

背景

基于年龄和性别的冠状动脉钙评分(CAC)百分位数已被用于改善冠状动脉疾病(CAD)风险预测。然而,目前使用的 CAC 百分位数的主要局限性在于它们通常基于单一研究。我们对所有报告 CAC 百分位数的可用研究进行了汇总分析,以便制定更具普遍性的年龄和性别列线图。

方法

在 PubMed/Medline 和 Embase 上搜索报告年龄和性别为基础的 CAC 百分位数列线图的研究。如果研究报告的数据是在没有心血管疾病病史的无症状个体中收集的,则纳入研究。对每个特定百分位层的绝对 CAC 进行汇总,并考虑研究的样本量生成新的百分位。

结果

我们发现了 831 项研究,其中 12 项符合纳入标准。分别对 134336 名西方人和 33488 名亚洲人的 CAC 百分位数数据进行了汇总,生成了一个可在 https://www.calciumscorecalculator.com 上使用的加权 CAC 百分位列线图。我们的加权百分位数与目前使用的列线图相差高达 24%。

结论

我们基于超过 155000 名个体的汇总年龄和性别为基础的 CAC 百分位数应该提供一种更适用于更广泛人群的风险衡量标准,而不是目前使用的那些,希望这将导致更好的风险评估和治疗决策。

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