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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Detaylı Bibliyografya

Asıl Yazarlar:	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
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Siberian State Medical University (Tomsk) 2025-04-01
Seri Bilgileri:	Бюллетень сибирской медицины
Konular:	легочная гипертензия саркоидоз органов дыхания трансторакальная эхокардиография прогнозирование легочной гипертензии
Online Erişim:	https://bulletin.ssmu.ru/jour/article/view/5960
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