甲状腺乳头状癌危险因素分析及其与甲状腺功能指标的关系。
Analysis of risk factors for papillary thyroid carcinoma and the association with thyroid function indicators.
机构信息
Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China.
Key Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health (23618504), Heilongjiang Provincial Key Lab of Trace Elements and Human Health, Harbin Medical University, Harbin, Heilongjiang, China.
出版信息
Front Endocrinol (Lausanne). 2024 Sep 2;15:1429932. doi: 10.3389/fendo.2024.1429932. eCollection 2024.
OBJECTIVE
This study aims to analyze the relationship between papillary thyroid carcinoma (PTC) and various factors.
METHODS
The study involved two groups-PTC patients and non-PTC controls. We utilized binary logistic regression and Least Absolute Shrinkage and Selection Operator (Lasso) regression for variable selection and risk factor analysis. Correlation analysis was performed using Spearman's rank correlation. The diagnostic value of thyroid stimulating hormone (TSH) levels for PTC was assessed using Receiver Operating Characteristic (ROC) curves.
RESULTS
PTC patients exhibited higher body mass index (BMI) (23.71 vs. 22.66, p<0.05) and TSH levels (3.38 vs. 1.59, p<0.05). Urinary iodine concentration (UIC) was an independent predictor of PTC (OR=1.005, p<0.05). The optimal TSH threshold for PTC diagnosis was 2.4 mIU/L [The Area Under the Curve (AUC)=67.3%, specificity=71.4%, sensitivity=70.1%]. TSH levels positively correlated with BMI (r=0.593, p<0.05) and UIC (r=0.737, p<0.05).
CONCLUSIONS
UIC may be an independent predictor of PTC, and TSH levels have some diagnostic value for identifying PTC.
目的
本研究旨在分析甲状腺乳头状癌（PTC）与各种因素之间的关系。
方法
研究纳入了两组人群-PTC 患者和非 PTC 对照组。我们采用二元逻辑回归和最小绝对收缩和选择算子（Lasso）回归进行变量选择和危险因素分析。采用 Spearman 秩相关进行相关性分析。采用受试者工作特征（ROC）曲线评估促甲状腺激素（TSH）水平对 PTC 的诊断价值。
结果
PTC 患者的体质量指数（BMI）（23.71 与 22.66，p<0.05）和 TSH 水平（3.38 与 1.59，p<0.05）更高。尿碘浓度（UIC）是 PTC 的独立预测因子（OR=1.005，p<0.05）。用于诊断 PTC 的最佳 TSH 阈值为 2.4 mIU/L[曲线下面积（AUC）=67.3%，特异性=71.4%，敏感性=70.1%]。TSH 水平与 BMI（r=0.593，p<0.05）和 UIC（r=0.737，p<0.05）呈正相关。
结论
UIC 可能是 PTC 的独立预测因子，TSH 水平对识别 PTC 具有一定的诊断价值。
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