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颈动脉内膜中层厚度研究:研究设计与数据分析。

Carotid intima-media thickness studies: study design and data analysis.

机构信息

Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.

出版信息

J Stroke. 2013 Jan;15(1):38-48. doi: 10.5853/jos.2013.15.1.38. Epub 2013 Jan 31.

Abstract

BACKGROUND

Carotid intima-media thickness (CIMT) measurements have been widely used as primary endpoint in studies into the effects of new interventions as alternative for cardiovascular morbidity and mortality. There are no accepted standards on the use of CIMT measurements in intervention studies and choices in the design and analysis of a CIMT study are generally based on experience and expert opinion. In the present review, we provide an overview of the current evidence on several aspects in the design and analysis of a CIMT study on the early effects of new interventions.

SUMMARY OF ISSUES

A balanced evaluation of the carotid segments, carotid walls, and image view to be used as CIMT study endpoint; the reading method (manual or semi-automated and continuously or in batch) to be employed, the required sample size, and the frequency of ultrasound examinations is provided. We also discuss the preferred methods to analyse longitudinal CIMT data and address the possible impact of, and methods to deal with missing and biologically implausible CIMT values.

CONCLUSIONS

Linear mixed effects models are the preferred way to analyse CIMT data and do appropriately handle missing and biologically implausible CIMT values. Furthermore, we recommend to use extensive CIMT designs that measure CIMT at regular points during the multiple carotid sites as such approach is likely to increase the success rates of CIMT intervention studies designed to evaluate the effects of new interventions on atherosclerotic burden.

摘要

背景

颈动脉内膜中层厚度(CIMT)测量已被广泛用作研究新干预措施对心血管发病率和死亡率影响的主要终点。目前尚无关于在干预研究中使用 CIMT 测量的公认标准,CIMT 研究的设计和分析中的选择通常基于经验和专家意见。在本综述中,我们提供了关于新干预措施早期效果的 CIMT 研究设计和分析的几个方面的当前证据概述。

问题概述

对颈动脉节段、颈动脉壁和拟用作 CIMT 研究终点的图像视图进行平衡评估;要使用的阅读方法(手动或半自动和连续或批量)、所需的样本量以及超声检查的频率。我们还讨论了分析纵向 CIMT 数据的首选方法,并解决了缺失和生物学上不合理的 CIMT 值的可能影响以及处理方法。

结论

线性混合效应模型是分析 CIMT 数据的首选方法,并且可以适当处理缺失和生物学上不合理的 CIMT 值。此外,我们建议使用广泛的 CIMT 设计,在多个颈动脉部位的定期测量 CIMT,因为这种方法可能会提高旨在评估新干预措施对动脉粥样硬化负担影响的 CIMT 干预研究的成功率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb6c/3779675/73f9aa6719d1/jos-15-38-g001.jpg

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