Monocyte to high-density lipoprotein cholesterol ratio as an independent risk factor for papillary thyroid carcinoma

被引:13
作者
Xu, Hongzhi [1 ]
Pang, Yufeng [2 ]
Li, Xueqing [1 ]
Zha, Bingbing [3 ]
He, Tao [1 ]
Ding, Heyuan [3 ]
机构
[1] Fudan Univ, Shanghai Peoples Hosp 5, Dept Gen Surg, 801 Heqing Rd, Shanghai 200240, Peoples R China
[2] Fudan Univ, Shanghai Peoples Hosp 5, Dept Head & Neck Surg, Shanghai, Peoples R China
[3] Fudan Univ, Shanghai Peoples Hosp 5, Dept Endocrinol, 801 Heqing Rd, Shanghai 200240, Peoples R China
基金
上海市自然科学基金;
关键词
high-density lipoprotein cholesterol; inflammation; monocyte; monocyte to high-density lipoprotein cholesterol ratio; papillary thyroid carcinoma; SERUM URIC-ACID; LYMPHOCYTE RATIO; INFLAMMATION; ASSOCIATION; NEUTROPHIL;
D O I
10.1002/jcla.24014
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Background Papillary thyroid carcinoma (PTC) is considered to be an inflammatory disease. This study aimed to investigate the association of monocyte to high-density lipoprotein cholesterol ratio (MHR) with PTC. Methods Clinical parameters from 300 patients with PTC and 552 patients with benign thyroid nodule were compared. Serum renal function and liver enzymes, fasting plasma glucose, lipid profile, and blood cell count were measured. Results Patients with PTC had a higher MONO (p < 0.001) and MHR (p < 0.001). There was a step-wise increase in the prevalence of PTC (p = 0.003) with the tertile of MHR. Logistic regression analysis revealed that MHR could be considered an independent risk factor (p < 0.001) in the case-control study and the cohort study. Pearson correlation analysis and simple linear regression analysis indicated that MHR was positively associated with neutrophil (NEU) and lymphocyte (LYM) count as well as neutrophil-to-lymphocyte ratio (NLR). Area under the curve (AUC) was 0.711. The optimal cutoff of MHR was 0.33 x 10(9)/mmol. Conclusion This study identifies novel evidence that patients with PTC have a higher MHR. MHR is an independent risk factor for PTC. These findings support the application of MHR to predict, diagnose, and evaluate the occurrence of PTC.
引用
收藏
页数:8
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