Big Data Study on Thyroid Dysfunction in Patients with Chronic Nephropathy
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Che Liqun, Li Xingmei, Yao Hongbo, Pang Chi, Nurul Azmir Amir Hashim
Nurul Azmir Amir Hashim
The prevalence and incidence of CKD(Chronic Kidney Disease) are increasing all over the world. In the disease progression of CKD patients, most patients are accompanied by abnormal synthesis, secretion, metabolism and degradation of TH(Thyroxine). This paper studies the big data of thyroid dysfunction in CKD patients. Studies have shown that renal tubular reabsorption in CKD patients is decreased, and the reabsorption of thyroid hormone-binding globulin complex binding T3 and T4 is reduced, resulting in a large number of T3 and T4 lost with urine. Especially in nephrotic syndrome, due to the damage of glomerular filtration barrier, a large amount of protein is lost from urine, including thyroid hormone binding globulin, which hinders the synthesis of TH and eventually leads to the decrease of TH level in the body. At the same time, it affects the metabolism of hypothalamus-pituitary-thyroid axis and T4 in peripheral tissues, reduces the levels of thyroid binding protein and thyroid pre-binding protein, and changes the intake and storage of iodide in thyroid. Low T3 syndrome is the most common change of TH in these patients.
Patients with chronic kidney disease; Thyroid gland; Abnormal function; Big data