Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Nicklas Højgaard-Hessellund Rasmussen"'
Publikováno v:
JBMR Plus, Vol 7, Iss 11, Pp n/a-n/a (2023)
ABSTRACT Diabetes poses a significant risk to bone health, with Type 1 diabetes (T1D) having a more detrimental impact than Type 2 diabetes (T2D). The group of hormones known as incretins, which includes gastric inhibitory peptide (GIP) and glucagon
Externí odkaz:
https://doaj.org/article/ddcc921acee9441ba744c45e4bb4f0e4
Autor:
Nicklas Højgaard-hessellund Rasmussen, Jakob Dal, Annika Vestergaard Kvist, Joop P. van den Bergh, Morten Hasselstrøm Jensen, Peter Vestergaard
Publikováno v:
Rasmussen, N H-H, Dal, J, Kvist, A V, van den Bergh, J P, Jensen, M H & Vestergaard, P 2023, ' Bone parameters in T1D and T2D assessed by DXA and HR-pQCT-A cross-sectional study : The DIAFALL study ', Bone, vol. 172, 116753 . https://doi.org/10.1016/j.bone.2023.116753
Introduction/aim: People with type 1 diabetes (T1D) and type 2 diabetes (T2D) have an increased risk of fractures due to skeletal fragility. We aimed to compare areal bone mineral density (aBMD), volumetric BMD (vBMD), cortical and trabecular measure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3455f6e425af98e6f0442f9d8051927e
https://vbn.aau.dk/da/publications/9a65ad45-d393-44c0-88b9-9ff08d7b25f5
https://vbn.aau.dk/da/publications/9a65ad45-d393-44c0-88b9-9ff08d7b25f5
Autor:
Nicklas Højgaard-hessellund Rasmussen, Jakob Dal, Morten Hasselstrøm Jensen, Annika Vestergaard Kvist, Joop van den Bergh, Rogerio Pessoto Hirata, Peter Vestergaard
Publikováno v:
Rasmussen, N H-H, Dal, J, Jensen, M H, Kvist, A V, van den Bergh, J, Hirata, R P & Vestergaard, P 2022, ' Impaired postural control in diabetes – a predictor of falls? ', Archives of Osteoporosis, vol. 18, no. 1, 6 . https://doi.org/10.1007/s11657-022-01188-5
Archives of Osteoporosis, 18(1):6. Springer-Verlag London Ltd.
Archives of Osteoporosis, 18(1):6. Springer-Verlag London Ltd.
Summary: New evidence points toward that impaired postural control judged by center of pressure measures during quiet stance is a predictor of falls in people with type 1 and type 2 diabetes—even in occurrence of well-known risk factors for falls.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6522b0fb0d3ad1d8143ba88571d0ccf4
https://cris.maastrichtuniversity.nl/en/publications/a2ebabc8-0b34-4310-b647-801dc5b2cee6
https://cris.maastrichtuniversity.nl/en/publications/a2ebabc8-0b34-4310-b647-801dc5b2cee6
Autor:
Nicklas Højgaard-Hessellund Rasmussen, Peter Vestergaard, Sandrine P. G. Bours, Patrick C. Souverein, Nicolaas C. Schaper, Morten Hasselstrøm Jensen, J. van den Bergh, Cindy Sarodnik, Johanna H M Driessen
Publikováno v:
Rasmussen, N H-H, Sarodnik, C, Bours, S P G, Schaper, N C, Souverein, P C, Jensen, M H, Driessen, J H M, van den Bergh, J P W & Vestergaard, P 2022, ' The pattern of incident fractures according to fracture site in people with T1D ', Osteoporosis International, vol. 33, no. 3, pp. 599-610 . https://doi.org/10.1007/s00198-021-06175-z
Osteoporosis International, 33(3), 599-610. Springer-Verlag London Ltd.
Osteoporosis International, 33. Springer London
Osteoporosis International, 33(3), 599-610. Springer-Verlag London Ltd.
Osteoporosis International, 33. Springer London
Summary: Higher incidences of fractures are seen in people with type 1 diabetes (T1D), but knowledge on different fracture sites is sparse. We found a higher incidence mainly for distal fracture sites in people with T1D compared to controls. It must
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7171dfb6103e52368a25fe31a5a8651b
https://doi.org/10.1007/s00198-021-06175-z
https://doi.org/10.1007/s00198-021-06175-z
Autor:
Peter Vestergaard, Ole K. Hejlesen, Nicklas Højgaard-Hessellund Rasmussen, Simon Lebech Cichosz
Publikováno v:
Cichosz, S L, Rasmussen, N H-H, Vestergaard, P & Hejlesen, O 2021, ' Precise prediction of total-body lean and fat mass from anthropometric and demographic data : development and validation of neural network models ', Journal of Diabetes Science and Technology, vol. 15, no. 6, pp. 1337-1343 . https://doi.org/10.1177/1932296820971348
J Diabetes Sci Technol
J Diabetes Sci Technol
Background: Estimating body composition is relevant in diabetes disease management, such as drug administration and risk assessment of morbidity/mortality. It is unclear how machine learning algorithms could improve easily obtainable body muscle and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00f9c8ba244784226bc7fe8ca6c3517c
https://vbn.aau.dk/da/publications/9adea4b6-776d-404b-8e10-30f8bea4969a
https://vbn.aau.dk/da/publications/9adea4b6-776d-404b-8e10-30f8bea4969a
Autor:
Nicklas Højgaard-Hessellund Rasmussen, Peter Vestergaard, Andrea M. Burden, Judith van Dalem, Richard Eastell, Bernardette Rossi, Joop P. W. van den Bergh, Johanna H M Driessen, Frank de Vries, Nikki C C Werkman, Olaf H. Klungel, Martijn C. G. J. Brouwers
Publikováno v:
Journal of Bone and Mineral Research. 35
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58054593b839f1c586bfea0708b98fee
https://doi.org/10.1002/jbmr.4206
https://doi.org/10.1002/jbmr.4206