Method for establishing osteoporosis risk prediction model of type 2 diabetic patient and application thereof
A type 2 diabetes, predictive model technology, applied in the fields of biotechnology and clinical medicine, can solve problems such as difficulty in obtaining bone mineral density results, affecting the diagnosis and treatment process, and inability to perform detection, so as to relieve medical economic pressure, reduce clinical work costs, and save money. The effect of medical expenses
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[0029] This embodiment provides a method for establishing a risk prediction model for osteoporosis in patients with type 2 diabetes, the steps comprising:
[0030] S1. Study patients who visited the Department of Endocrinology, Tongji Hospital Affiliated to Tongji University from January 2014 to February 2018. 244 newly diagnosed type 2 diabetic patients and 218 non-diabetic patients who did not use any diabetes drugs or insulin were included. History of fragility fractures, diseases and medications causing secondary osteoporosis, malignant tumors, autoimmune diseases, serum creatinine higher than 100 μmol / L, glutamate pyruvate aminotransferase or aspartate aminotransferase higher than 100 μmol / L were excluded. 80U / L, patients with heart failure and severe lung disease;
[0031] S2. Collect the general information of the above patients (including: age, gender, body mass index, menopausal status, smoking history, drinking history), blood biochemical indicators (including: blood...
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