Dyslipidemia stands as an autonomous peril in the realm of atherosclerotic cardiovascular maladies. Prompt identification and timely intervention in the case of dyslipidemia hold promise for substantially curbing the onset and fatality rates associated with coronary heart disease. Traditional lipid surveillance metrics employed in clinical settings, such as low-density lipoprotein cholesterol, exhibit notable limitations. Conversely, lipid-derived parameters emerge as formidable contenders, demonstrating a capacity to amalgamate and quantify disparate risk factors and multifactorial etiologies inherent in a given disease. By encompassing a broader spectrum of information than singular indices, these parameters offer a more profound insight into disease progression by virtue of their grounding in the physiological intricacies of lipid metabolism. Drawing upon extant domestic and international guidelines and research, this discourse delineates and synthesizes four lipid-derived parameters with promising clinical applications: atherogenic index of plasma, non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio, apolipoprotein B/A1 ratio, and lipoprotein combine index, and forwards a perspective grounded in current strides in clinical research.
血脂异常是动脉粥样硬化性心血管疾病的独立危险因素，及时发现并尽早干预血脂异常，能够有效地降低冠心病的发生及死亡率。常规临床应用的血脂监测指标表现出一定的不足，而血脂衍生参数能够对同一疾病不同危险因素及多病因进行整合及量化，纳入信息量优于单一指标，且可更深入地从血脂代谢生理过程反映疾病进展情况。本文根据国内外指南及研究现状，归纳了目前临床中较有应用前景的4种血脂衍生参数：致动脉粥样硬化指数、非高密度脂蛋白胆固醇/高密度脂蛋白胆固醇比值、载脂蛋白B/A1比值、脂蛋白结合指数，并根据目前的临床研究进展提出展望。.