FIELD: medicine.
SUBSTANCE: invention relates to endocrinology, traumatology, instrumental diagnostics, and can be used to predict risk of fracture. Online questionnaire containing the following indicators is filled out: sex, age, body weight index, clinical fracture risk factors: data on previous fractures in the patient, smoking, alcohol intake, taking glucocorticosteroids, the presence of rheumatoid arthritis and secondary osteoporosis, with or without examination of the bone mineral density of the femoral neck, characterized by that the growth is additionally determined and the presence of a downward change in growth is recorded; data on previous infection COVID-19, degree of its severity and treatment with glucocorticosteroids are taken into account. Level of physical activity per day and the duration of immobilisation are taken into account. Additionally, data on the presence of chronic diseases leading to secondary osteoporosis, such as endocrine diseases, which include hyperparathyroidism, type 1 or 2 diabetes mellitus on insulin therapy, thyrotoxicosis, surgical menopause of less than 45 years, diseases of the gastrointestinal tract, namely gastrectomy, anorexia, low calcium intake, as well as data on the presence of chronic renal failure. Additionally, BMD is determined by T-criterion of lumbar spine by means of dual-energy X-ray absorptiometry. Degree of risk of osteoporotic fracture in patient is determined using computer program "Integrated automated decision support system for early personalized diagnosis of osteoporosis in post-COVID patients" by counting points, assigned to each criterion, at the same time a very high risk of fracture is predicted in amount of 6 and more points, a high risk of fracture is from 4 to 5.5 points, a moderate risk of fracture is from 2 to 3.5 points, a low risk of fracture is less than 2 points.
EFFECT: method enables detecting a group of patients requiring diagnostic densitometry and a narrow specialty doctor's consultation by increasing the accuracy of determining the risk of fracture by evaluating the combination of the most significant indicators.
1 cl, 2 dwg, 9 tbl, 9 ex
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Authors
Dates
2024-11-19—Published
2023-10-19—Filed