Ivanova Anna A, Gardner Michael S, Kusovschi Jennifer D, Parks Bryan A, Schieltz David M, Bareja Akshay, McGarrah Robert W, Kraus William E, Kuklenyik Zsuzsanna, Pirkle James L, Barr John R
Clinical Chemistry Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Duke Molecular Physiology Institute, Duke University School of Medicine, Duke University, Durham, NC, United States.
Clin Chem. 2024 Mar 2;70(3):528-537. doi: 10.1093/clinchem/hvad223.
Lipid profiling is central for coronary artery disease (CAD) risk assessment. Nonadherence or unreported use of lipid-lowering drugs, particularly statins, can significantly complicate the association between lipid profile measures and CAD clinical outcomes. By combining medication history evaluation with statin analysis in plasma, we determined the effects of inaccurately reported statin use on lipid profile measures and their association with CAD risk.
We compared medication history of statin use with statin concentration measurements, by liquid chromatography-tandem mass spectrometry, in 690 participants undergoing coronary angiography (63 ± 11 years of age). Nominal logistic regression was employed to model CAD diagnosis with statin measurements, phenotypic, and lipid profile characteristics.
Medication history of statin use was confirmed by statin assay for 81% of the patients. Surprisingly, statins were detected in 46% of patients without statin use records. Nonreported statin use was disproportionately higher among older participants. Stratifying samples by statin history resulted in underestimated LDL-lipid measures. Apolipoprotein B concentrations had a significant inverse CAD association, which became nonsignificant upon re-stratification using the statin assay data.
Our study uncovered prominent discrepancies between medication records and actual statin use measured by mass spectrometry. We showed that inaccurate statin use assessments may lead to overestimation and underestimation of LDL levels in statin user and nonuser categories, exaggerating the reverse epidemiology association between LDL levels and CAD diagnosis. Combining medication history and quantitative statin assay data can significantly improve the design, analysis, and interpretation of clinical and epidemiological studies.
血脂谱分析是冠状动脉疾病(CAD)风险评估的核心。降脂药物,尤其是他汀类药物的不依从或未报告使用情况,会使血脂谱指标与CAD临床结局之间的关联显著复杂化。通过将用药史评估与血浆中的他汀类药物分析相结合,我们确定了他汀类药物使用报告不准确对血脂谱指标及其与CAD风险关联的影响。
我们对690名接受冠状动脉造影的参与者(63±11岁),通过液相色谱-串联质谱法比较了他汀类药物使用的用药史与他汀类药物浓度测量结果。采用名义逻辑回归模型,根据他汀类药物测量结果、表型和血脂谱特征来诊断CAD。
81%的患者通过他汀类药物检测证实了他汀类药物使用的用药史。令人惊讶的是,在没有他汀类药物使用记录的患者中,46%检测到了他汀类药物。未报告的他汀类药物使用在老年参与者中比例过高。根据他汀类药物使用史对样本进行分层,导致低密度脂蛋白(LDL)血脂测量值被低估。载脂蛋白B浓度与CAD呈显著负相关,在使用他汀类药物检测数据重新分层后,这种相关性变得不显著。
我们的研究发现用药记录与通过质谱法测量的实际他汀类药物使用情况之间存在明显差异。我们表明,他汀类药物使用评估不准确可能导致他汀类药物使用者和非使用者类别中LDL水平的高估和低估,夸大了LDL水平与CAD诊断之间的反向流行病学关联。结合用药史和定量他汀类药物检测数据可以显著改善临床和流行病学研究的设计、分析和解释。