Zobrazeno 1 - 10
of 546
pro vyhledávání: '"disease trajectory"'
Autor:
Christian Merlo, Teja Thorat, Lisa J. McGarry, Christina V. Scirica, Maral DerSarkissian, Catherine Nguyen, Yuqian M. Gu, Aruna Muthukumar, Joe Healy, Jaime L. Rubin, M. Alan Brookhart
Publikováno v:
Pulmonary Therapy, Vol 10, Iss 4, Pp 483-494 (2024)
Abstract Introduction Ivacaftor (IVA) has been shown to change the trajectory of cystic fibrosis (CF) disease progression by slowing the rate of lung function decline in clinical studies. Long-term real-world data help to confirm the durability of th
Externí odkaz:
https://doaj.org/article/87a5f56fc12f4e5c98c0384be3eeadd6
Publikováno v:
中西医结合护理, Vol 10, Iss 8, Pp 142-147 (2024)
Malignant tumors are a group of diseases that pose a serious threat to human health and life. In recent years, the morbidity and mortality rate have been on the rise, and their etiology, pathogenesis, clinical manifestations and treatment methods are
Externí odkaz:
https://doaj.org/article/ca19117e7a42430f9b8792a55cb493a8
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
BackgroundCardiometabolic multimorbidity (CMM) and aging are increasing public health concerns. This prospective study used UK Biobank cohort to investigate the relationship between biological aging and the trajectory of CMM to dementia and mortality
Externí odkaz:
https://doaj.org/article/6429ecc11d06462b9c430ffb37ab5edc
Publikováno v:
Clinical and Translational Allergy, Vol 14, Iss 9, Pp n/a-n/a (2024)
Abstract Background Eczema in early childhood is associated with the development of subsequent allergic diseases, including food allergy (FA), asthma and hay fever. However, eczema has a heterogenous presentation regarding onset age and persistence,
Externí odkaz:
https://doaj.org/article/770ec5f39a9f4e2b867ed835b080e774
Autor:
Macowan, Matthew a, ∗, Pattaroni, Céline a, ∗, ∗, Bonner, Katie b, Chatzis, Roxanne a, Daunt, Carmel a, Gore, Mindy b, Custovic, Adnan b, c, Shields, Michael D. c, Power, Ultan F. c, Grigg, Jonathan d, Roberts, Graham e, f, g, Ghazal, Peter h, Schwarze, Jürgen i, Turner, Steve j, k, Bush, Andrew b, Saglani, Sejal l, m, Lloyd, Clare M. m, Marsland, Benjamin J. a
Publikováno v:
In The Journal of Allergy and Clinical Immunology January 2025 155(1):94-106
Autor:
Yu Jia, Dongze Li, Yi You, Jing Yu, Wenli Jiang, Yi Liu, Rui Zeng, Zhi Wan, Yi Lei, Xiaoyang Liao
Publikováno v:
BMC Medicine, Vol 21, Iss 1, Pp 1-13 (2023)
Abstract Background Metabolic dysfunction-associated fatty liver disease (MAFLD) is a newly defined condition encompassing hepatic steatosis and metabolic dysfunction. However, the relationship between MAFLD and multi-system diseases remains unclear,
Externí odkaz:
https://doaj.org/article/b44c964401904a00a6ba730f920d6662
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 16, Pp 3057-3074 (2023)
Hege Johanne Magnussen,1,2 Ingvild Kjeken,1– 3 Irma Pinxsterhuis,1 Trine Amalie Sjøvold,4 Marte Feiring1– 3 1Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway; 2Nor
Externí odkaz:
https://doaj.org/article/f686366a586f4e7f86b0174f407d774d
Publikováno v:
BMC Cardiovascular Disorders, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background Myocardial infarction (MI) is one of the significant cardiovascular diseases (CVDs). According to Taiwanese health record analysis, the hazard rate reaches a peak in the initial year after diagnosis of MI, drops to a relatively lo
Externí odkaz:
https://doaj.org/article/42c0c7f129604b6a8c9bf0982c8c1f25
Autor:
Syed Kazmi, Chandrasekhar Kambhampati, John G.F. Cleland, Joe Cuthbert, Khurram Shehzad Kazmi, Pierpaolo Pellicori, Alan S. Rigby, Andrew L. Clark
Publikováno v:
ESC Heart Failure, Vol 9, Iss 5, Pp 3009-3018 (2022)
Abstract Aims Risk changes with the progression of disease and the impact of treatment. We developed a dynamic risk stratification Markov chain model using artificial intelligence in patients with chronic heart failure (CHF). Methods and results We d
Externí odkaz:
https://doaj.org/article/61a507d40bf442e685027b33781324c8
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