Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Oliwia Janota"'
Autor:
Oliwia Janota, Marta Mantovani, Hanna Kwiendacz, Krzysztof Irlik, Tommaso Bucci, Steven H. M. Lam, Bi Huang, Uazman Alam, Giuseppe Boriani, Mirela Hendel, Julia Piaśnik, Anna Olejarz, Aleksandra Włosowicz, Patrycja Pabis, Wiktoria Wójcik, Janusz Gumprecht, Gregory Y. H. Lip, Katarzyna Nabrdalik
Publikováno v:
Cardiovascular Diabetology, Vol 23, Iss 1, Pp 1-12 (2024)
Abstract Background There is a growing burden of non-obese people with diabetes mellitus (DM). However, their cardiovascular risk (CV), especially in the presence of cardiovascular-kidney-metabolic (CKM) comorbidities is poorly characterised. The aim
Externí odkaz:
https://doaj.org/article/786ad837b6d046938ce186d43790c87e
Autor:
Katarzyna Nabrdalik, Hanna Kwiendacz, Krzysztof Irlik, Mirela Hendel, Karolina Drożdż, Agata M. Wijata, Jakub Nalepa, Oliwia Janota, Wiktoria Wójcik, Janusz Gumprecht, Gregory Y. H. Lip
Publikováno v:
Cardiovascular Diabetology, Vol 22, Iss 1, Pp 1-14 (2023)
Abstract Background Diabetes mellitus (DM), heart failure (HF) and metabolic dysfunction associated steatotic liver disease (MASLD) are overlapping diseases of increasing prevalence. Because there are still high numbers of patients with HF who are un
Externí odkaz:
https://doaj.org/article/8aca06d1abed47ce9a09963c9e74139c
Autor:
Małgorzata Masierek, Katarzyna Nabrdalik, Oliwia Janota, Hanna Kwiendacz, Maksymilian Macherski, Janusz Gumprecht
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
Currently, there are about 150–200 million diabetic patients treated with insulin globally. The year 2021 is special because the 100th anniversary of the insulin discovery is being celebrated. It is a good occasion to sum up the insulin pen technol
Externí odkaz:
https://doaj.org/article/c324ff38b0ea4438b1b19ace015b0582
Autor:
Katarzyna Nabrdalik, Hanna Kwiendacz, Karolina Drożdż, Krzysztof Irlik, Mirela Hendel, Agata M. Wijata, Jakub Nalepa, Elon Correa, Weronika Hajzler, Oliwia Janota, Wiktoria Wójcik, Janusz Gumprecht, Gregory Y.H. Lip
Publikováno v:
Nabrdalik, K, Kwiendacz, H, Drożdż, K, Irlik, K, Hendel, M, Wijata, A M, Nalepa, J, Correa, E, Hajzler, W, Janota, O, Wójcik, W, Gumprecht, J & Lip, G Y H 2023, ' Machine Learning Predicts Cardiovascular Events in Patients With Diabetes : The Silesia Diabetes-Heart Project ', Current problems in cardiology, vol. 48, no. 7, 101694 . https://doi.org/10.1016/j.cpcardiol.2023.101694
We aimed to develop a machine learning (ML) model for predicting cardiovascular (CV) events in patients with diabetes (DM). This was a prospective, observational study where clinical data of patients with diabetes hospitalized in the diabetology cent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a7d542b7b4cec202677fb97f0eda5c8
https://doi.org/10.1016/j.cpcardiol.2023.101694
https://doi.org/10.1016/j.cpcardiol.2023.101694
Publikováno v:
Endokrynologia Polska (Polish Journal of Endocrinology). 71(6):532-538
Introduction: This study presents a 10-year longitudinal assessment of bone status in adolescents and young adults with type 1 diabetes (T1D). Material and methods: Thirty-two patients (12 female, aged 20.5 ± 3.93 years, T1D duration 13.9 ± 1.97 ye
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::817f7400a239a048259ed7f70ea45924
https://journals.viamedica.pl/endokrynologia_polska/article/view/EP.a2020.0080
https://journals.viamedica.pl/endokrynologia_polska/article/view/EP.a2020.0080