Prediction factors for the risk of diffuse non-toxic goiter development in type 2 diabetic patients.

Prediction factors for the risk of diffuse non-toxic goiter development in type 2 diabetic patients.
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2 型糖尿病患者发生弥漫性非毒性甲状腺肿风险的预测因素。

DOI：
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发表时间：
2022
期刊：
Polski merkuriusz lekarski : organ Polskiego Towarzystwa Lekarskiego
影响因子：
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通讯作者：
N. Lisnianska
N. Lisnianska
中科院分区：
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文献类型：
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作者：
V. Musiienko;Andriy Sverstiuk;A. Lepyavko;L. Mazur;S. Danchak;N. Lisnianska

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Type 2 diabetes mellitus (T2DM) patient outcomes, treatment options, and corresponding healthcare expenses are affected by the presence of different comorbidities. AIM The aim of this work was to develop an algorithm for predicting the risk of diffuse non-toxic goitre development in patients with T2DM according to a mathematical model obtained by regression analysis, for the timely implementation of appropriate preventive measures among T2DM patients. MATERIALS AND METHODS We analyzed 541 medical records of T2DM patients. RESULTS It was found the following risk factors influencing the occurrence of diffuse non-toxic goitre in patients with T2DM: age, gender, body mass index (BMI), glycosylated hemoglobin (HbA1c), homeostasis model assessment for insulin resistance (HOMA-IR), thyroid stimulating hormone (TSH), free thyroxine (fT4). Prognostic model of the risk of diffuse non-toxic goitre development in T2DM patients was built using multiple regression analysis. In order to stratify the risk of diffuse nontoxic goitre development in T2DM patients, the following criteria were proposed: no risk at RCG ≤ 5.0; low risk at 5.1≤ RCG ≤12,9; high risk at RCG ≥13.0.; where RCG - risk coefficient for the diffuse non-toxic goiter development in T2DM patients. CONCLUSIONS Therefore, the developed algorithm and mathematical model for predicting the development of diffuse non-toxic goitre in T2DM patients are highly informative and allow to determine in advance the contingent of patients with a high probability of diffuse non-toxic goitre risk based both on routine laboratory data, such as HbA1c, HOMA-IR, TSH, fT4 levels and such factors as age, gender, and BMI.