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二级预防试验中低密度脂蛋白胆固醇浓度与冠心病事件年发病率的S形最大效应模型

Sigmoidal maximal effect modeling of low-density lipoprotein cholesterol concentration and annual incidence of coronary heart disease events in secondary prevention trials.

作者信息

Charland Scott L, Stanek Eric J

出版信息

Pharmacotherapy. 2014 May;34(5):452-63. doi: 10.1002/phar.1368.

Abstract

STUDY OBJECTIVES

To evaluate the relationship between low-density lipoprotein cholesterol (LDL-C) concentration and the annual incidence of combined coronary heart disease (CHD) events—death or nonfatal myocardial infarction (NFMI)—by using sigmoidal maximal effect (sEmax) modeling of published data in various populations at risk for CHD events, and to use the best performing sEmax model generated to calculate the number needed to treat (NNT) to prevent a single CHD death or NFMI event across a range of LDL-C concentrations.

DESIGN

Literature-based modeling analysis.

PATIENTS

A total of 95,955 patients from 22 published cardiovascular secondary prevention trials.

MEASUREMENTS AND MAIN RESULTS

Four distinct sEmax models were created based on intervention approach and CHD event risk for each trial population. Model outputs included the following: Emax (maximum CHD death/NFMI rate), E0 (minimum CHD death/NFMI rate), and fit parameters. The best-fitting sEmax model was compared with linear, log-linear, and logit models, and it was used for calculation of annualized NNT to prevent one CHD death or NFMI event with statins. The best fitting sEmax model was constructed from nine statin intervention trials in 60,483 clinically stable patients with CHD or CHD risk equivalents (Emax = 4.84%/year [95% confidence interval (CI) 4.11–5.41%/year], E0 = 1.24%/year [95% CI 0.64–1.83%/year]) and was superior to linear, log-linear, and logit models. Reduction of CHD death/NFMI incidence diminished at an LDL-C level near 90 mg/dl and became near static at an LDL-C level of 60–70 mg/dl. Annual NNT for LDL-C reduction from a baseline of 130–100 mg/dl, 90, and 70 mg/dl was 129, 104, and 83, respectively, and from a baseline of 100–70 mg/dl was 232.

CONCLUSION

An sEmax model fully characterized the relationship between LDL-C concentration and incidence of CHD death or NFMI in a high-risk population receiving statins, with diminishing event reduction at an LDL-C level less than 90 mg/dl, and limited projected event reduction beyond an LDL-C level of ~60–70 mg/dl. As baseline LDL-C level declines, the NNT sharply increases.

摘要

研究目的

通过对已发表的各类冠心病事件高危人群数据进行S形最大效应(sEmax)建模,评估低密度脂蛋白胆固醇(LDL-C)浓度与冠心病(CHD)联合事件(死亡或非致死性心肌梗死(NFMI))年发病率之间的关系,并使用生成的表现最佳的sEmax模型计算在一系列LDL-C浓度下预防单一冠心病死亡或NFMI事件所需的治疗人数(NNT)。

设计

基于文献的建模分析。

患者

来自22项已发表的心血管二级预防试验的总共95,955名患者。

测量指标及主要结果

根据每项试验人群的干预方法和冠心病事件风险创建了四个不同的sEmax模型。模型输出包括以下内容:Emax(最大冠心病死亡/NFMI发生率)、E0(最小冠心病死亡/NFMI发生率)和拟合参数。将拟合最佳的sEmax模型与线性、对数线性和逻辑模型进行比较,并用于计算使用他汀类药物预防一次冠心病死亡或NFMI事件的年化NNT。拟合最佳的sEmax模型由9项他汀类药物干预试验构建,涉及60,483例临床稳定的冠心病患者或具有冠心病风险等同因素的患者(Emax = 4.84%/年[95%置信区间(CI)4.11 - 5.41%/年],E0 = 1.24%/年[95%CI 0.64 - 1.83%/年]),且优于线性、对数线性和逻辑模型。冠心病死亡/NFMI发生率在LDL-C水平接近90mg/dl时降低幅度减小,在LDL-C水平为60 - 70mg/dl时趋于稳定。将LDL-C从基线130 - 100mg/dl、90mg/dl和70mg/dl降低时,每年的NNT分别为129、104和83,从基线100 - 70mg/dl降低时,NNT为232。

结论

sEmax模型全面描述了接受他汀类药物治疗的高危人群中LDL-C浓度与冠心病死亡或NFMI发生率之间的关系,在LDL-C水平低于90mg/dl时事件减少幅度减小,在LDL-C水平约60 - 70mg/dl以上时预计事件减少有限。随着基线LDL-C水平下降,NNT急剧增加。

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