Barriers and facilitators for physical activity in rheumatic and musculoskeletal disease:a European-based survey

Autor: Metsios, G.S., Fenton, S.A.M., Tzika, K., Moe, R.H., Fragoulis, G.E., Vlieland, T.P.M.V., Nikiphorou, E., Ende, C.H.M. van den, Fatouros, I., Esch, M. van der, Niedermann, K., Stavropoulos-Kalinoglou, A., Zanten, J.J.C.S.V. van, Brodin, N., O'Brien, C.M., Koutedakis, Y., Kennedy, N., Swinnen, T.W., Bostrom, C., Kitas, G.D.

Publikováno v: The IMPACT-RMD Consortium 2023, ' Barriers and facilitators for physical activity in rheumatic and musculoskeletal disease : a European-based survey ', Clinical Rheumatology, vol. 42, no. 7, pp. 1897-1902 . https://doi.org/10.1007/s10067-023-06518-7
Clinical Rheumatology. Springer London
Clinical Rheumatology. SPRINGER LONDON LTD
Clinical Rheumatology

Physical activity (PA) is a key strategy for improving symptoms in people with rheumatic and musculoskeletal diseases (RMDs). The aim of this study was to investigate and rank the importance of known barriers and facilitators for engaging in PA, from

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b860d0fbfb9717007ffaed247bf072c9
https://research.vumc.nl/en/publications/346e26fa-1618-4e9b-9343-d2db68400da3

Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients

Autor: Konstantonis, G. Singh, K.V. Sfikakis, P.P. Jamthikar, A.D. Kitas, G.D. Gupta, S.K. Saba, L. Verrou, K. Khanna, N.N. Ruzsa, Z. Sharma, A.M. Laird, J.R. Johri, A.M. Kalra, M. Protogerou, A. Suri, J.S.

The study proposes a novel machine learning (ML) paradigm for cardiovascular disease (CVD) detection in individuals at medium to high cardiovascular risk using data from a Greek cohort of 542 individuals with rheumatoid arthritis, or diabetes mellitu

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https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:2999629

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Incidence, risk factors and validation of the RABBIT score for serious infections in a cohort of 1557 patients with rheumatoid arthritis

Autor: Thomas, K. Lazarini, A. Kaltsonoudis, E. Voulgari, P.V. Drosos, A.A. Repa, A. Sali, A.M.I. Sidiropoulos, P. Tsatsani, P. Gazi, S. Evangelia, A. Boki, K.A. Katsimbri, P. Boumpas, D. Fragkiadaki, K. Tektonidou, M.G. Sfikakis, P.P. Karagianni, K. Sakkas, L.I. Grika, E.P. Vlachoyiannopoulos, P.G. Evangelatos, G. Iliopoulos, A. Dimitroulas, T. Garyfallos, A. Melissaropoulos, K. Georgiou, P. Areti, M. Georganas, C. Vounotrypidis, P. Georgiopoulos, G. Kitas, G.D. Vassilopoulos, D.

Objectives: Predicting serious infections (SI) in patients with rheumatoid arthritis (RA) is crucial for the implementation of appropriate preventive measures. Here we aimed to identify risk factors for SI and to validate the RA Observation of Biolog

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2127::c3076be6ecd11619d53389c04f161abf
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3119719

Cardiovascular disease and stroke risk assessment in patients with chronic kidney disease using integration of estimated glomerular filtration rate, ultrasonic image phenotypes, and artificial intelligence: A narrative review

Autor: Jamthikar, A.D. Puvvula, A. Gupta, D. Johri, A.M. Nambi, V. Khanna, N.N. Saba, L. Mavrogeni, S. Laird, J.R. Pareek, G. Miner, M. Sfikakis, P.P. Protogerou, A. Kitas, G.D. Nicolaides, A. Sharma, A.M. Viswanathan, V. Rathore, V.S. Kolluri, R. Bhatt, D.L. Suri, J.S.

Chronic kidney disease (CKD) and cardiovascular disease (CVD) together result in an enormous burden on global healthcare. The estimated glomerular filtration rate (eGFR) is a well-established biomarker of CKD and is associated with adverse cardiac ev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2127::b2cfef17deda471aa79c49dcb32e1b51
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3119848