Department of Blood Transfusion, Affiliated Hospital of Nantong University, Nantong, China.
School of Public Health, Nantong University, Nantong, China.
Cancer Epidemiol. 2024 Oct;92:102636. doi: 10.1016/j.canep.2024.102636. Epub 2024 Aug 7.
To investigate the clinical value of blood routine derivative biomarkers and thyroid function biomarkers in differentiating different thyroid diseases.
The differences of blood routine derived indexes neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), platelet-large cell rate (P-LCR) and thyroid function indexes between benign and malignant thyroid diseases were compared, and the differences of each index between different benign thyroid diseases were further compared. Univariate regression analysis model was used to analyze the clinical value of various indexes. Receiver operating characteristic curve (ROC) was used to calculate the area under the curve (AUC).
There were statistically significant differences in PLR, NLR and P-LCR between patients with benign and malignant thyroid diseases (P < 0.05 for each). The results of univariate logistic regression analysis showed that P < 0.05 for all indicators except LMR, when PLR and NLR value increased by 1, the risk of thyroid malignancy decreased by 1 % and 21 %, when P-LCR value increased by 1, the risk of thyroid malignancy increased by 4 %.
PLR, NLR and P-LCR are helpful to distinguish different benign thyroid diseases and to diagnose benign and malignant thyroid diseases.
探讨血常规衍生标志物和甲状腺功能标志物在鉴别不同甲状腺疾病中的临床价值。
比较良性和恶性甲状腺疾病患者血常规衍生指标中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、淋巴细胞与单核细胞比值(LMR)、血小板大细胞比率(P-LCR)和甲状腺功能指标的差异,并进一步比较不同良性甲状腺疾病之间各指标的差异。采用单因素回归分析模型分析各指标的临床价值。采用受试者工作特征曲线(ROC)计算曲线下面积(AUC)。
良性和恶性甲状腺疾病患者的 PLR、NLR 和 P-LCR 差异均有统计学意义(P < 0.05)。单因素逻辑回归分析结果显示,除 LMR 外,所有指标的 P 值均<0.05,当 PLR 和 NLR 值分别增加 1 时,甲状腺恶性肿瘤的风险分别降低 1%和 21%,当 P-LCR 值增加 1 时,甲状腺恶性肿瘤的风险增加 4%。
PLR、NLR 和 P-LCR 有助于鉴别不同的良性甲状腺疾病,对诊断良恶性甲状腺疾病有一定价值。