The Applicability Evaluation Of Fracture Risk Assessment Tool In Xinjiang Type 2 Diabetes Mellitus Patients

Objective: To evaluate the applicability of fracture risk assessment tools in fracture risk prediction of xinjiang T2 DM population.Methods: The study included 1,008 T2 DM hospitalized patients,and recorded the patient’s age,gender,nationality,duration of diabetes,BMI,HbA1 c,Ca,25(OH)D,BMD values,femoral neck T values,as well as the various risk factors in FRAX.Divided into FRAX score(FRAX/-)without bone density value and T value(BMD T value)of femoral neck bone density,(FRAX/-)group PHF ≥3% or PMOF ≥ 20%,(BMD T value)Group T values ≤-2.5 was the cutoff point of treatment,if the same treatment recommendations are given to the same group,otherwise different groups.Consistency analysis was carried out between the two groups to evaluate the applicability of FRAX in a specific population.Results: With the increase of age,the risk of osteoporotic fracture increased,and the higher BMD value can reduce the risk of osteoporotic fracture,the difference between different genders is also statistically significant(P < 0.001).There were 961 patients in the same group and 47 in different groups,with a consensus rate of 95.3%(961/1008).Among them,the differences in age,gender,and femoral neck T values were statistically significant(P < 0.001).Compared with different groups,the same group was young,and the femoral neck T value and BMD value were high.FRAX and femoral neck bone mineral density T values were evaluated for the need for treatment for consistency analysis.Kappa value = 0.69,P value < 0.001.The area under the curve of the ROF curve for PHF and PMOF was 0.91(P < 0.001)and0.898,respectively,within 10 years.(P < 0.001).Conclusion:(FRAX/-)and(BMD T value)have good consistency.The FRAX software can be used to accurately estimate and predict the fracture risk probability of T2 DM population in Xinjiang,and give more accurate intervention recommendations.As a primary screening tool,FRAX can be promoted and applied in people with type 2 diabetes in China.