FIELD: medicine.
SUBSTANCE: invention refers to medicine, namely to endocrinology, and can be used for prediction of development of hypocalcemia on 1–3 days after parathyroidectomy (PTE) in patients with primary hyperparathyroidism (PHPT). Method includes determining a complex of diagnostically significant parameters before conducting PTE, including sex, age at the time of operation, serum concentration of parathyroid hormone (PTH), pg/ml, serum concentration of total calcium, mmol/l, serum concentration of phosphorus, mmol/l, serum concentration of alkaline phosphatase (AP), U/l, serum concentration of osteocalcin (OC), ng/ml, serum concentration of 25(OH) vitamin D(25(OH)D), ng/ml, degree of manifestation of osteoporosis: normal, or osteopenia, or osteoporosis, or severe osteoporosis; whether the patient received the following preparations: cholecalciferol, bisphosphonates, denosumab, cinacalcet. Measured parameters are processed using an artificial neural network to obtain a probability of developing postoperative hypocalcemia, presented in percentage. Artificial neural network can be represented by a three-layer perceptron containing 21 neurons in the input layer, 7 neurons in the hidden layer, 2 neurons in the output layer. In addition, serum concentration of PTH, serum concentration of total calcium, serum concentration of phosphorus can be determined before taking antiresorptive therapy and calcimimetics.
EFFECT: method enables predicting hypocalcemia on 1–3 days after PTE in the patients with PHPT with a high degree of probability of the correct conclusion by determining the declared complex of diagnostically significant values and using the artificial neural network.
3 cl, 7 tbl, 2 ex
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Authors
Dates
2024-06-28—Published
2022-12-17—Filed