Neural network model outperforms conventional equations in LDL cholesterol estimation: A comparative study of 188,887 Chinese individuals with focus on hypertriglyceridemia.

Hao Xue¹, Yu Lin¹, Youlin Liu², Lin Li², Pengzhen Chen², Mingyang Li¹, Ling Ji^1,2, Yong Xia¹

¹Department of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, China.

²Shenzhen Mindray Bio-Medical Electronics Co.,Ltd, China.

Abstract

BACKGROUND: Accurate estimation of low-density lipoprotein cholesterol (LDL-C) is crucial for atherosclerotic cardiovascular disease (ASCVD) risk management. Extensive international validation studies have demonstrated that traditional formulas (Friedewald, Martin/Hopkins, Sampson) often yield significant errors under conditions of extreme hypertriglyceridemia. This study aimed to assess the perfo…

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