Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Pavlina Pithova"'
Autor:
Pavlína Piťhová, Michaela Cichrová, Milan Kvapil, Jaroslav A. Hubáček, Dana Dlouhá, Jan Piťha
Publikováno v:
Cardiovascular Diabetology, Vol 23, Iss 1, Pp 1-14 (2024)
Abstract Background The associations of risk factors with vascular impairment in type 1 diabetes patients seem more complex than that in type 2 diabetes patients. Therefore, we analyzed the associations between traditional and novel cardiovascular ri
Externí odkaz:
https://doaj.org/article/752b8015a7cf480b85de35b88bdc8d3a
Autor:
Vladimíra Fejfarová, Jiří Matuška, Edward Jude, Pavlína Piťhová, Milan Flekač, Karel Roztočil, Veronika Wosková, Michal Dubský, Alexandra Jirkovská, Robert Bém, Jitka Husáková, Věra Lánská
Publikováno v:
Frontiers in Endocrinology, Vol 12 (2021)
BackgroundAll diagnostic procedures of peripheral arterial disease (PAD) in diabetic foot (DF) are complicated due to diabetes mellitus and its late complications.The aim of our study is to enhance diagnosis of PAD using a novel transcutaneous oximet
Externí odkaz:
https://doaj.org/article/4b8cacaf600e4d8ab25611b91dc9e52e
Autor:
Katerina Stechova, Jana Sklenarova-Labikova, Tereza Kratzerova, Pavlina Pithova, Dominik Filipp
Publikováno v:
Journal of Diabetes Research, Vol 2017 (2017)
Type 1 diabetic (T1D) patients suffer from insulinopenia and hyperglycaemia. Studies have shown that if a patient’s hyperglycaemic environment is not compensated, it leads to complex immune dysfunctions. Similarly, T1D mothers with poor glycaemic c
Externí odkaz:
https://doaj.org/article/5a56c9b8f50a40afb292671e017881d8
Autor:
Jana Vcelakova, Radek Blatny, Zbynek Halbhuber, Michal Kolar, Ales Neuwirth, Lenka Petruzelkova, Tereza Ulmannova, Stanislava Kolouskova, Zdenek Sumnik, Pavlina Pithova, Maria Krivjanska, Dominik Filipp, Katerina Stechova
Publikováno v:
Journal of Diabetes Research, Vol 2013 (2013)
Type 1 Diabetes (T1D) is considered to be a T-helper- (Th-) 1 autoimmune disease; however, T1D pathogenesis likely involves many factors, and sufficient tools for autoreactive T cell detection for the study of this disease are currently lacking. In t
Externí odkaz:
https://doaj.org/article/4bd8b45aaf3f4dc0987a47f1c4b5e069
Autor:
Lucie Riedlbauchová, Šárka Malá, Pavlina Pithova, Lucie Hoskovcová, Jaroslava Kulhankova, Veronika Potočková, Jan Broz, Radan Keil, Marek Brabec
Publikováno v:
Diabetes Research and Clinical Practice. 134:139-144
Cardiac autonomic neuropathy (CAN) is a frequent and severe complication of type 1 diabetes mellitus (T1DM). CAN diagnosis is associated with increased cardiovascular morbidity and mortality, often due to progressive atherosclerosis. Carotid intima m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9eac7eef0776bce4e0d52d4f5385fce
https://doi.org/10.1016/j.diabres.2017.10.002
https://doi.org/10.1016/j.diabres.2017.10.002
Publikováno v:
Computer Methods and Programs in Biomedicine. 196:105628
Backgroung: Type 1 diabetes is a disease that adversely affects the daily life of a large percentage of people worldwide. Daily glucose levels regulation and useful advices provided to patients regarding their diet are essential for diabetes treatmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e706f407eb963d7c7973d7d6123943c
https://doi.org/10.1016/j.cmpb.2020.105628
https://doi.org/10.1016/j.cmpb.2020.105628
Publikováno v:
IFMBE Proceedings ISBN: 9789811090226
Glycaemia prediction plays a vital role in preventing complications related to diabetes mellitus type 1, supporting physicians in their clinical decisions and motivating diabetics to improve their everyday life. Several algorithms, such as mathematic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::671436ef502858435dbeffe303e3b7b1
https://doi.org/10.1007/978-981-10-9023-3_136
https://doi.org/10.1007/978-981-10-9023-3_136
Publikováno v:
CYBCONF
A multiple-steps ahead prediction of glucose level from real time continuous glucose monitoring system (RT-CGMS) device is presented. Both linear and nonlinear autoregressive models with exogenous inputs are used for the system identification. Insuli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ca0f8ecf0d689965c9111c6a618a249
https://doi.org/10.1109/cybconf.2017.7985799
https://doi.org/10.1109/cybconf.2017.7985799
Autor:
Pavlina Pithova, Dominik Filipp, Katerina Stechova, Tereza Kratzerova, Jana Sklenarova-Labikova
Publikováno v:
Journal of Diabetes Research
Journal of Diabetes Research, Vol 2017 (2017)
Journal of Diabetes Research, Vol 2017 (2017)
Type 1 diabetic (T1D) patients suffer from insulinopenia and hyperglycaemia. Studies have shown that if a patient’s hyperglycaemic environment is not compensated, it leads to complex immune dysfunctions. Similarly, T1D mothers with poor glycaemic c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19d84b2b57efff2c69adb6f263d2a18a
http://europepmc.org/articles/PMC5434466
http://europepmc.org/articles/PMC5434466
Publikováno v:
Information Technology in Bio-and Medical Informatics ISBN: 9783319642642
ITBAM
ITBAM
The present work presents a comparative assessment of glucose prediction models for diabetic patients using data from sensors monitoring blood glucose concentration as well as data from in silico simulations. The models are based on neural networks a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::401230e58aa38b879ace227b1303a54a
https://doi.org/10.1007/978-3-319-64265-9_6
https://doi.org/10.1007/978-3-319-64265-9_6