METHOD FOR DETERMINING PROBABILITY OF ACTH-ECTOPIC SYNDROME IN PATIENTS WITH ACTH-DEPENDENT ENDOGENOUS HYPERADRENOCORTICISM Russian patent published in 2024 - IPC G01N33/74 G01N33/84 A61B5/00 A61B5/55 

Abstract RU 2814146 C1

FIELD: medicine.

SUBSTANCE: invention relates to medicine, namely to endocrinology, and can be used to determine the probability of ACTH-ectopic syndrome (ACTH-ES) in patients with ACTH-dependent endogenous hyperadrenocorticism. Complex of diagnostically significant parameters is determined: ACTH blood level in the morning (pg/ml), blood potassium level (mmol/l), daily urine free cortisol level (nmol/day), level of cortisol in blood in the evening (nmol/l), level of cortisol in a sample of saliva collected in the evening (nmol/l), maximum diameter of a pituitary adenoma (mm). Set of obtained values is then processed using a classification model trained to determine the probability of the presence of ACTH-ES in the patient, expressed as a percentage. Gradient boosting model — Generalized Boosted Modeling, GBM, can be used as the classification model. Maximum diameter of a pituitary adenoma can be determined by means of MRI of the brain with intravenous contrast enhancement.

EFFECT: method enables determining the probability of ACTH-ES in patients with endogenous hyperadrenocorticism for the purpose of differential diagnosis of Itsenko-Cushing's disease and ACTH-ES by determining blood levels of: ACTH, potassium and cortisol levels: in blood, urine, saliva, and pituitary adenoma diameter, which leads to a decrease in the pharmacological load, consisting in the complete elimination of the need for the patient to use high doses of dexamethasone within the large dexamethasone test, as well as to complete elimination of invasiveness of differential diagnostic measures, to simplification of differential diagnosis of ACTH-dependent hyperadrenocorticism by reducing the need and reducing the number of patients referred for bilateral selective blood sampling from inferior petrosal sinuses.

3 cl, 4 dwg, 7 tbl, 3 ex

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RU 2 814 146 C1

Authors

Golounina Olga Olegovna

Belaya Zhanna Evgenevna

Voronov Kirill Andreevich

Solodovnikov Aleksandr Gennadevich

Rozhinskaya Lyudmila Yakovlevna

Melnichenko Galina Afanasevna

Mokrysheva Natalya Georgievna

Dedov Ivan Ivanovich

Dates

2024-02-22Published

2023-10-19Filed