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Relationship between thyroid volume and autoantibodies in patients with autoimmune thyroid disease / 中华地方病学杂志
Chinese Journal of Endemiology ; (12): 845-848, 2021.
Article in Chinese | WPRIM | ID: wpr-909109
ABSTRACT

Objective:

To study the relationship between thyroid volume (TV) and thyroid autoantibodies in patients with autoimmune thyroid disease (AITD), and to explore the factors affecting goiter in patients with AITD.

Methods:

The newly diagnosed AITD adult patients in the Affiliated Hospital of Shanxi Institute for Endemic Disease Prevention and Control from November 2019 to October 2020 were selected for questionnaire survey, physical examination, thyroid function and thyroid autoantibody test, determination of serum iodine content and thyroid ultrasound, and the correlation between thyroid volume and thyroid autoantibody was analyzed.

Results:

A total of 147 newly diagnosed adult AITD patients were included, including 63 cases of Graves' disease (GD, 30 males and 33 females) and 84 cases of chronic lymphocytic thyroiditis (HT, 29 males and 55 females). The TV of male and female patients with GD was positively correlated with the levels of thyrotropin receptor antibody (TRAb) ( rmen = 0.515, rwomen = 0.412, P < 0.05). The TV of male and female patients with HT was not correlated with the levels of thyroid peroxidase antibody (TPOAb) and thyroglobulin antibody (TGAb, rmen = - 0.137, 0.168, rwomen = 0.184, - 0.088, P > 0.05). There were no correlation between TPOAb levels and TGAb levels in male and female HT patients ( rmen = 0.153, rwomen = 0.102, P > 0.05). The TV of male and female patients with GD or HT was not correlated with the serum levels of iodine ( rmen = 0.230, 0.013, rwomen = 0.096, 0.069, P > 0.05).

Conclusion:

TRAb level is positively correlated with the TV in GD patients.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Endemiology Year: 2021 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Endemiology Year: 2021 Type: Article