Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Karol Przyludzki"'
Autor:
Michał Skrzypek, Adam Sokal, Zbigniew Kalarus, Katarzyna Mizia-Stec, Artur Filipecki, Ewa Nowolany-Kozielska, Mateusz Tajstra, Eugeniusz Piłat, Wojciech Jacheć, Mariusz Gąsior, A. Drzewiecka, Karol Przyludzki, Krzysztof S. Gołba, Anna Kurek
Publikováno v:
Kardiologia polska. 80(1)
Scant data exist on long-term outcomes, including death, in patients with complica-tions related to transvenous lead extractions (TLE).We sought to characterize the population and examine the outcomes including risk factors for in-hospital complicati
Autor:
Karol Przyludzki, Grzegorz Opolski, Adam Sokal, Zbigniew Kalarus, Tomasz Zdrojewski, Beata Sredniawa, Tomasz Grodzicki, Marcin Rutkowski, Witold Streb, Katarzyna Mitręga, L. Wierucki, Jaroslaw Kazmierczak, Piotr Bandosz, Gregory Y.H. Lip
Publikováno v:
Journal of Clinical Medicine
Mitrega, K, Lip, G Y H, Sredniawa, B, Sokal, A, Streb, W, Przyludzki, K, Zdrojewski, T, Wierucki, L, Rutkowski, M, Bandosz, P, Kazmierczak, J, Grodzicki, T, Opolski, G & Kalarus, Z 2021, ' Predicting Silent Atrial Fibrillation in the Elderly : A Report from the NOMED-AF Cross-Sectional Study ', Journal of Clinical Medicine, vol. 10, no. 11, 2321 . https://doi.org/10.3390/jcm10112321
Volume 10
Issue 11
JOURNAL OF CLINICAL MEDICINE
Journal of Clinical Medicine, Vol 10, Iss 2321, p 2321 (2021)
Mitrega, K, Lip, G Y H, Sredniawa, B, Sokal, A, Streb, W, Przyludzki, K, Zdrojewski, T, Wierucki, L, Rutkowski, M, Bandosz, P, Kazmierczak, J, Grodzicki, T, Opolski, G & Kalarus, Z 2021, ' Predicting Silent Atrial Fibrillation in the Elderly : A Report from the NOMED-AF Cross-Sectional Study ', Journal of Clinical Medicine, vol. 10, no. 11, 2321 . https://doi.org/10.3390/jcm10112321
Volume 10
Issue 11
JOURNAL OF CLINICAL MEDICINE
Journal of Clinical Medicine, Vol 10, Iss 2321, p 2321 (2021)
Background: Silent atrial fibrillation (SAF) is common and is associated with poor outcomes. Aims: to study the risk factors for AF and SAF in the elderly (≥65 years) general population and to develop a risk stratification model for predicting SAF.