Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Stephen F Weng"'
Autor:
Ralph K Akyea, George Ntaios, Evangelos Kontopantelis, Georgios Georgiopoulos, Daniele Soria, Folkert W Asselbergs, Joe Kai, Stephen F Weng, Nadeem Qureshi
Publikováno v:
PLOS Digital Health, Vol 2, Iss 9, p e0000334 (2023)
Individuals developing stroke have varying clinical characteristics, demographic, and biochemical profiles. This heterogeneity in phenotypic characteristics can impact on cardiovascular disease (CVD) morbidity and mortality outcomes. This study uses
Externí odkaz:
https://doaj.org/article/8fb7ba230ba34d808d0648bf0c68d18b
Autor:
Mamas A Mamas, Christian D Mallen, Darren M Ashcroft, David Reeves, Stephen F Weng, Niels Peek, Martin K Rutter, Salwa S Zghebi, Tim Holt, Iain Buchan, Sally Giles, Harm VanMarwijk, Caroline A Chew-Graham
Publikováno v:
Open Heart, Vol 8, Iss 1 (2021)
Objective Most current cardiovascular disease (CVD) risk stratification tools are for people without CVD, but very few are for prevalent CVD. In this study, we developed and validated a CVD severity score in people with coronary heart disease (CHD) a
Externí odkaz:
https://doaj.org/article/e8fd0ebf770346d5b6b972f49336a89d
Autor:
Joe Kai, Nadeem Qureshi, Stephen F Weng, Folkert W Asselbergs, Anthony S Wierzbicki, Riyaz S Patel, Ralph K Akyea, Jo Leonardi-Bee, Paul Durrington, Oluwaseun H Ibiwoye
Publikováno v:
BMJ Open, Vol 10, Iss 7 (2020)
Introduction Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally. With advances in early diagnosis and treatment of CVD and increasing life expectancy, more people are surviving initial CVD events. However, models fo
Externí odkaz:
https://doaj.org/article/2ebf619f5cfc4a7b9d92afc7b9fb7ec0
Publikováno v:
PLoS ONE, Vol 14, Iss 3, p e0214365 (2019)
BACKGROUND:Prognostic modelling using standard methods is well-established, particularly for predicting risk of single diseases. Machine-learning may offer potential to explore outcomes of even greater complexity, such as premature death. This study
Externí odkaz:
https://doaj.org/article/7593b9cec438482292b3f76f3c17bc3e
Publikováno v:
PLoS ONE, Vol 12, Iss 4, p e0174944 (2017)
BACKGROUND:Current approaches to predict cardiovascular risk fail to identify many people who would benefit from preventive treatment, while others receive unnecessary intervention. Machine-learning offers opportunity to improve accuracy by exploitin
Externí odkaz:
https://doaj.org/article/9f134cb3ecce4455ad6ab837b12de53f
Autor:
Ralph K. Akyea, Wolfram Doehner, Barbara Iyen, Stephen F. Weng, Nadeem Qureshi, George Ntaios
Publikováno v:
Journal of Cachexia, Sarcopenia and Muscle, Vol 12, Iss 6, Pp 2111-2121 (2021)
Abstract Background The association between obesity, major adverse cardiovascular events (MACE), and mortality in patients with incident stroke is not well established. We assessed the relationship between body mass index (BMI) and MACE in patients w
Externí odkaz:
https://doaj.org/article/bc733c746373489ca57918aeabaf2d6f
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-9 (2020)
Abstract Familial hypercholesterolaemia (FH) is a common inherited disorder, causing lifelong elevated low-density lipoprotein cholesterol (LDL-C). Most individuals with FH remain undiagnosed, precluding opportunities to prevent premature heart disea
Externí odkaz:
https://doaj.org/article/1a6aee63d7fb4492b12b4d6a4b286e1b
Autor:
Magdalena Nowakowska, Salwa S. Zghebi, Darren M. Ashcroft, Iain Buchan, Carolyn Chew-Graham, Tim Holt, Christian Mallen, Harm Van Marwijk, Niels Peek, Rafael Perera-Salazar, David Reeves, Martin K. Rutter, Stephen F. Weng, Nadeem Qureshi, Mamas A. Mamas, Evangelos Kontopantelis
Publikováno v:
BMC Medicine, Vol 17, Iss 1, Pp 1-10 (2019)
Abstract Background The presence of additional chronic conditions has a significant impact on the treatment and management of type 2 diabetes (T2DM). Little is known about the patterns of comorbidities in this population. The aims of this study are t
Externí odkaz:
https://doaj.org/article/3833bba0406146deb4ce8468212fa86b
Autor:
Nadeem Qureshi, Stephen F Weng, Joe Kai, Brittany Dutton, Steve E. Humphries, Ralph K. Akyea, Jo Leonardi-Bee
Publikováno v:
Open Heart
Open Heart, Vol 8, Iss 2 (2021)
Open Heart, Vol 8, Iss 2 (2021)
ObjectiveFamilial hypercholesterolaemia (FH) is a common inherited disorder causing premature coronary heart disease (CHD) and death. We have developed the novel Familial Hypercholesterolaemia Case Ascertainment Tool (FAMCAT 1) case-finding algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c554128c9f633d715ebff0c705f561cf
Autor:
Hasidah Abdul-Hamid, Joe Kai, Stephen F Weng, Maria Luisa R Da Silva, Jo Leonardi-Bee, Nadeem Qureshi
Publikováno v:
Cochrane Database Syst Rev
Background: Familial hypercholesterolaemia is a common inherited condition that is associated with premature cardiovascular disease. The increased cardiovascular morbidity and mortality, resulting from high levels of cholesterol since birth, can be p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20f204f854108df1417b227c6972c4e5
https://doi.org/10.1002/14651858.cd012985.pub2
https://doi.org/10.1002/14651858.cd012985.pub2