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
CN112164464APending Publication Date: 2021-01-01SHANGHAI TONGJI HOSPITAL
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI TONGJI HOSPITAL
Publication Date
2021-01-01

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Abstract

The invention relates to application of a prediction model in preparation of a kit for predicting osteoporosis risk of a type 2 diabetic patient. The kit comprises a reagent for determining the levelof tartaric acid phosphatase 5b and a reagent for determining the level of osteocalcin; the judgment method of the prediction model is as follows: the disease probability g (x) of osteoporosis is equal to -2.550 + 0.063 * (age) -0.231 * (BMI) + 0.725 * (Menopause) + 0.566 * (TRAP5b) + 0.095 * (OC), wherein age is age, the unit is Year, BMI is a body mass index, and the unit is kg / m < 2 >; the Menopause is in a menopausal state, the value of the Menopause is 1, and the value of the Menopause is not 0; TRAP5b is the level of tartaric acid resistant phosphatase 5b, and the unit is U / L; OC is theosteocalcin level, and the unit is ng / L. The invention has the advantages of being simple, convenient, safe, effective and practical, the fracture risk of the type 2 diabetes patient can be better predicted, prevention and treatment of osteoporosis are started in time, and the life quality of the patient is improved.
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Description

technical field

[0001] The invention relates to the fields of biotechnology and clinical medicine, in particular to a method for establishing an osteoporosis risk prediction model for patients with type 2 diabetes and its application. Background technique

[0002] According to the latest data released by the World Health Organization, the number of diabetic patients worldwide has exceeded 450 million, and its prevalence is gradually increasing as the society ages. Chronic complications such as diabetic nephropathy, retinopathy, neuropathy and cardiovascular disease are the main reasons for its high mortality. Recent evidence suggests that bone fractures are another chronic complication of type 2 diabetes. The longer the duration of type 2 diabetes, the higher the risk of fracture. Patients with type 2 diabetes have a higher risk of fracture than those without type 2 diabetes, and the resulting national health and medical economic problems cannot be underestimated. [0003...

Claims

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