Statistical modeling to determine severity of respiratory sarcoidosis and parameters associated with cardiac sarcoidosis: as a way to stratify the risk of developing pulmonary hypertension

Statistical modeling to determine severity of respiratory sarcoidosis and parameters associated with cardiac sarcoidosis: as a way to stratify the risk of developing pulmonary hypertension

Aim. Using statistical modeling techniques, we aim to develop a model that optimizes the prediction of severity of sarcoidosis that affects the respiratory system (SRS) based on the identification and determination of signs (anamnestic, clinical, laboratory, instrumental examination data, etc.) asso...

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Main Authors: T. P. Kalacheva, O. A. Denisova, N. G. Brazovskaya, S. V. Fedosenko, M. A. Karnaushkina, V. L. Ostanko, G. M. Chernyavskaya, E. V. Kalyuzhina, G. E. Chernogoryuk, I. A. Palchikova, D. S. Romanov, I. L. Purlik, K. A. Kulumaeva, V. V. Kalyuzhin
Format: Article
Language:English
Published: Siberian State Medical University (Tomsk) 2025-04-01
Series:Бюллетень сибирской медицины
Subjects:
pulmonary hypertension
respiratory sarcoidosis
transthoracic echocardiography
prognosis of pulmonary hypertension
Online Access:https://bulletin.ssmu.ru/jour/article/view/5960
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