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代谢综合征与甲状腺癌发病风险及临床病理特征的关联性研究

Study on the Correlation Between Metabolic Syndrome and the Risk and Clinicopathological Features of Thyroid Cancer
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摘要 目的探讨代谢综合征(MetS)与甲状腺癌发病风险及临床病理特征的关联性。方法回顾性选取645例甲状腺癌患者作为观察组,选取同期健康体检者685例作为对照组,应用Logistic回归分析MetS与甲状腺癌发病风险及临床病理特征的关联性。结果在校正年龄、性别、身体质量指数(BMI)和促甲状腺激素(TSH)水平后,Logistic回归分析显示,MetS(OR=3.267,95%CI=1.636~6.524)及其组分代谢因素均会增加甲状腺癌发病风险(P<0.05);MetS与甲状腺癌患者的肿瘤大小(OR=5.680,95%CI=2.545~12.676)、病灶数目(OR=7.254,95%CI=2.234~23.552)、肿瘤分期(OR=8.148,95%CI=3.297~20.141)及淋巴结转移(OR=3.859,95%CI=1.321~11.273)相关(P<0.05)。结论MetS及其包含的各项代谢相关因素均会增加甲状腺癌的发病风险,还可能预示甲状腺癌患者的肿瘤直径较大、病灶多发、肿瘤分期Ⅲ~Ⅳ期和淋巴结转移。 Objective To explore the correlation between metabolic syndrome(MetS)and the risk and clinicopathological features of thyroid cancer.Methods The clinical data of 645 patients with thyroid cancer were retrospectively analyzed as the observation group,and 685 healthy people in the same period were selected as the control group.Logistic regression analysis was used to analyze the correlation between MetS and the risk and clinicopathological features of thyroid cancer.Results After adjusting for age,sex,body mass index(BMI)and thyroid stimulating hormone(TSH),Logistic regression analysis showed that MetS(OR=3.267,95%CI=1.636~6.524)and its metabolic factors increased the risk of thyroid cancer(P<0.05).MetS was associated with tumor size(OR=5.680,95%CI=2.545~12.676),number of lesions(OR=7.254,95%CI=2.234~23.552),tumor stage(OR=8.148,95%CI=3.297~20.141)and lymph node metastasis(OR=3.859,95%CI=1.321~11.273)in patients with thyroid cancer.Conclusion MetS and its metabolic related factors can increase the risk of thyroid cancer,and may also predict the larger tumor diameter,multiple lesions,the tumor stage ofⅢ~Ⅳand lymph node metastasis in patients with thyroid cancer.
作者 张丰姣 许玲玉 毛雨 宋利革 王欢欢 刘凯 康志强 ZHANG Fengjiao;XU Lingyu;MAO Yu(Central Hospital of Zhengzhou University,Zhengzhou,450000)
出处 《实用癌症杂志》 2024年第6期942-946,共5页 The Practical Journal of Cancer
关键词 代谢综合征 甲状腺癌 发病风险 临床病理特征 Metabolic syndrome Thyroid cancer Risk of disease Clinicopathological features
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