Hui-Hui Yang,1,* Jie Dou,1,* Ruo-Ling Guo,1 Jie Gao,1 Hui-Zhe Li,2 Kun Wang,2 Tian-Hua Hou,2 Tie-Jun Wei,2 Jing-Tao Guo,2 Jian-Wei Liu,3 Dong-Lei Luo2 

1Chengde Medical University, Chengde, People’s Republic of China; 2Department of Cardiology, Chengde Central Hospital/Second Clinical College of Chengde Medical University, Chengde, People’s Republic of China; 3Department of Cardiothoracic Interventional Vascular Surgery, Chengde Central Hospital/Second Clinical College of Chengde Medical University, Chengde, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Dong-Lei Luo, Department of Cardiology, Chengde Central Hospital/Second Clinical College of Chengde Medical, Chengde, People’s Republic of China, Email dongleiluocn@aliyun.com Jian-Wei Liu, Department of Cardiothoracic Interventional Vascular Surgery, Chengde Central Hospital/Second Clinical College of Chengde Medical University, Chengde, People’s Republic of China, Email Ljw2112@126.com

Objective: The study aimed to explore the clinical diagnostic significance of lipoprotein(a) [Lp(a)] and neck circumference (NC) in patients with coronary heart disease (CHD).
Methods: This cross-sectional study was conducted at Chengde Central Hospital from September 2021 to June 2023, enrolling 791 patients with suspected CHD who underwent selective coronary angiography (CAG). Patients were categorized into CHD and non-CHD groups based on the severity of arterial narrowing. Subsequently, the diagnostic value of Lp(a) combined with NC in patients with CHD was assessed using receiver operating characteristic (ROC) curves. Based on the results of multivariate logistic regression, a nomogram was constructed, and its clinical applicability was validated using decision curve analysis (DCA) and clinical impact curve (CIC).
Results: Multivariate logistic regression proved that high Lp(a) and high NC are risk factors for CHD, with OR of 1.836 (95% CI: 1.282– 2.630) and 1.383 (1.0.978– 1.955), respectively. Patients in the high NC or Lp(a) group exhibited a higher prevalence of multi-vessel disease. The area under the ROC curve (AUC) of the predictive model combining high Lp(a) and high NC was 0.710 (95% CI: 0.670– 0.751) and also demonstrated good calibration (Hosmer-Lemeshow goodness-of-fit test P value=0.494). The DCA and CIC confirmed the clinical utility of the nomogram developed to predict CHD based on the combination of high Lp(a) and high NC.
Conclusion: The levels of Lp(a) and NC exhibit a significant correlation with the presence of CHD, and their combined assessment holds specific clinical value in the diagnosis of CHD.

Keywords: coronary heart disease, lipoprotein(a), neck circumference, sensitivity, specificity