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高敏 C 反应蛋白作为无症状个体主要心脏事件标志物的预后价值、临床疗效和成本效益:一项卫生技术评估报告。

Prognostic value, clinical effectiveness, and cost-effectiveness of high-sensitivity C-reactive protein as a marker for major cardiac events in asymptomatic individuals: a health technology assessment report.

机构信息

Institute for Health Care Management, University for Health Sciences, Medical Informatics and Technology and University of Duisburg-Essen, Essen, Germany.

出版信息

Int J Technol Assess Health Care. 2010 Jan;26(1):30-9. doi: 10.1017/S0266462309990870.

Abstract

OBJECTIVES

The aim of this study was to compare the predictive value, clinical effectiveness, and cost-effectiveness of high-sensitivity C-reactive protein (hs-CRP)-screening in addition to traditional risk factor screening in apparently healthy persons as a means of preventing coronary artery disease.

METHODS AND RESULTS

The systematic review was performed according to internationally recognized methods. Seven studies on risk prediction, one clinical decision-analytic modeling study, and three decision-analytic cost-effectiveness studies were included. The adjusted relative risk of high hs-CRP-level ranged from 0.7 to 2.47 (p < .05 in four of seven studies). Adding hs-CRP to the prediction models increased the areas under the curve by 0.00 to 0.027. Based on the clinical decision analysis, both individuals with elevated hs-CRP-levels and those with hyperlipidemia have a similar gain in life expectancy following statin therapy. One high-quality economic modeling study suggests favorable incremental cost-effectiveness ratios for persons with elevated hs-CRP and higher risk. However, many model parameters were based on limited evidence.

CONCLUSIONS

Adding hs-CRP to traditional risk factors improves risk prediction, but the clinical relevance and cost-effectiveness of this improvement remain unclear.

摘要

目的

本研究旨在比较在传统危险因素筛查的基础上增加高敏 C 反应蛋白(hs-CRP)筛查对健康人群冠心病预防的预测价值、临床效果和成本效益。

方法和结果

本系统评价按照国际公认的方法进行。共纳入 7 项风险预测研究、1 项临床决策分析模型研究和 3 项决策分析成本效益研究。7 项研究中有 4 项研究表明,hs-CRP 水平升高的校正相对风险在 0.7 至 2.47 之间(p <.05)。将 hs-CRP 加入预测模型可使曲线下面积增加 0.00 至 0.027。基于临床决策分析,hs-CRP 水平升高和血脂异常患者在他汀类药物治疗后预期寿命的获益相似。一项高质量的经济建模研究表明,hs-CRP 升高且风险较高的人群具有有利的增量成本效益比。然而,许多模型参数的依据是有限的证据。

结论

在传统危险因素基础上增加 hs-CRP 可提高风险预测能力,但这种改善的临床相关性和成本效益尚不清楚。

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