Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Sueziani Binte Zainudin"'
Autor:
Fengjie Tang, Siti Nurfarahdillah Binte Abdul Razak, Jerilyn Xiling Tan, Edward Tieng Chek Choke, Sueziani Binte Zainudin
Publikováno v:
Clinical Medicine Insights: Endocrinology and Diabetes, Vol 16 (2023)
Background: Diabetic foot ulcers (DFUs) are debilitating to the patient and costly for the healthcare system. We set up the Diabetic Rapid Evaluation and lower limb Amputation Management (DREAM) clinic with the aim of providing early directed special
Externí odkaz:
https://doaj.org/article/e0aecbbf45f54016aca527e1476a1715
Autor:
Mohamed Hassanein, Abdulqawi Almansari, Ebtesam Ba-Essa, Fatheya F. Alawadi, Hussein ElBadawi, Rakesh Kumar Sahay, Rayaz Malik, Rohana Abdul Ghani, Salah Abusnana, Shehla Shaikh, Sueziani Binte Zainudin, Tarik Elhadd, Yousef AL Saleh
Publikováno v:
Dubai Diabetes and Endocrinology Journal, Vol 28, Iss 4, Pp 131-135 (2022)
Background: Injectable glucagon-like peptide-1 receptor agonists (GLP-1RAs) are proven to be well tolerated and efficacious in people with type 2 diabetes mellitus (T2DM) fasting during Ramadan. The first oral GLP-1RA semaglutide, also indicated for
Externí odkaz:
https://doaj.org/article/51a30c787ce4441fbce478e0b677f358
Autor:
Jun Jie Benjamin Seng, Amelia Yuting Monteiro, Yu Heng Kwan, Sueziani Binte Zainudin, Chuen Seng Tan, Julian Thumboo, Lian Leng Low
Publikováno v:
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-19 (2021)
Abstract Background Population segmentation permits the division of a heterogeneous population into relatively homogenous subgroups. This scoping review aims to summarize the clinical applications of data driven and expert driven population segmentat
Externí odkaz:
https://doaj.org/article/86451a9ed5444e4aa474d330cd44424b
Publikováno v:
Frontiers in Nutrition, Vol 8 (2022)
Concurrent exercise and intermittent fasting regimens for long periods have been shown to enhance cardiometabolic health in healthy individuals. As exercise and fasting confer health benefits independently, we propose that Muslims who are fasting, es
Externí odkaz:
https://doaj.org/article/402cf1ffaad545d3a65b43f1ded27c36
Publikováno v:
Endocrinology, Diabetes & Metabolism Case Reports, Pp 1-5 (2016)
Type II amiodarone-induced thyrotoxicosis (AIT) is an uncommon cause of thyroid storm. Due to the rarity of the condition, little is known about the role of plasma exchange in the treatment of severe AIT. A 56-year-old male presented with thyroid sto
Externí odkaz:
https://doaj.org/article/9ea199e6423d49a9b129cb01cc119ceb
Autor:
Musaab, Ahmed, Safaa, Badi, Ala, Elidrisi, Nazik Elmalaika, Husain, Sueziani Binte, Zainudin, Arshad, Mahmood, Nuha Eljaili, Abubaker, Abdullah S, Alghamdi, Mohamed H, Ahmed
Publikováno v:
Journal of Diabetes & Metabolic Disorders. 21:1991-2004
Fasting during Ramadan is mandatory for all adult healthy Muslims. International studies found that most Muslims with diabetes mellitus fast during Ramadan. The main risk factors are hypoglycemia, Hyperglycemia, diabetic ketoacidosis, and dehydration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7210ca12198193b352012bce424e501e
https://doi.org/10.1007/s40200-022-01145-6
https://doi.org/10.1007/s40200-022-01145-6
Autor:
Lian Leng Low, Jun Jie Benjamin Seng, Julian Thumboo, Yu Heng Kwan, Chuen Seng Tan, Sueziani Binte Zainudin, Amelia Yuting Monteiro
Publikováno v:
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-19 (2021)
BMC Medical Research Methodology
BMC Medical Research Methodology
Background Population segmentation permits the division of a heterogeneous population into relatively homogenous subgroups. This scoping review aims to summarize the clinical applications of data driven and expert driven population segmentation among
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf75cb535f34a715d15f289a10bb9744
https://doaj.org/article/86451a9ed5444e4aa474d330cd44424b
https://doaj.org/article/86451a9ed5444e4aa474d330cd44424b
Autor:
Jun Jie Benjamin Seng, Yu Heng Kwan, Lian Leng Low, Vivian S. Lee, Chuen Seng Tan, Julian Thumboo, Sueziani Binte Zainudin
Publikováno v:
Diabetes Care. 43:1048-1056
OBJECTIVE With rising health care costs and finite health care resources, understanding the population needs of different type 2 diabetes mellitus (T2DM) patient subgroups is important. Sparse data exist for the application of population segmentation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a327ccccec9098f81c0daddfe0c75bac
https://doi.org/10.2337/dc19-2519
https://doi.org/10.2337/dc19-2519
Autor:
Mohamed Hassanein, Bachar Afandi, Muhammad Yakoob Ahmedani, Reem Mohammad Alamoudi, Fatheya Alawadi, Harpreet S. Bajaj, Abdul Basit, Abdullah Bennakhi, Adel A. El Sayed, Osama Hamdy, Wasim Hanif, Abdul Jabbar, Line Kleinebreil, Nader Lessan, Inass Shaltout, Wan Mohamad Wan Bebakar, Elamin Abdelgadir, Sarah Abdo, Ebaa Al Ozairi, Yousef Al Saleh, Monira Alarouj, Tomader Ali, Abdulrazzaq Ali Almadani, Samir Helmy Assaad-Khalil, Alaaeldin Mohammed K. Bashier, Salem Arifi Beshyah, Mehmet Akif Buyukbese, Tahseen Ahmad Chowdhury, Said Norou Diop, Nancy Samir Elbarbary, Tarik A. Elhadd, Fatimah Eliana, MoezAlIslam Ezzat Faris, Khadija Hafidh, Zanariah Hussein, Hinde Iraqi, Walid Kaplan, Tayyab S. Khan, Kamlesh Khunti, Salma Maher, Rachid Malek, Rayaz A. Malik, Mafauzy Mohamed, Mesbah Sayed Kamel Mohamed, Nazeer Ahmed Mohamed, Sameer Pathan, Fauzia Rashid, Rakesh K. Sahay, Bashir Taha Salih, Mohamad A. Sandid, Shehla Shaikh, Ines Slim, Khaled Tayeb, Barakatun-Nisak Mohd Yusof, Sueziani Binte Zainudin
Publikováno v:
Diabetes research and clinical practice. 185
Fasting during Ramadan is one of the five pillars of Islam and is obligatory for all healthy Muslims from the age of puberty. Though individuals with some illness and serious medical conditions, including some people with diabetes, can be exempted fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0f11f47e79c3b53f4b81676a2b21420
https://pubmed.ncbi.nlm.nih.gov/35016991
https://pubmed.ncbi.nlm.nih.gov/35016991
Autor:
Lian Leng Low, Nan Liu, Dionne Hui Fang Loh, Sueziani Binte Zainudin, Jun Jie Benjamin Seng, Yu Heng Kwan, Ying Jie Chen, Kuo Ren Tan
Publikováno v:
J Diabetes Sci Technol
Background: With the rising prevalence of diabetes, machine learning (ML) models have been increasingly used for prediction of diabetes and its complications, due to their ability to handle large complex data sets. This study aims to evaluate the qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::808e27015c8f3099bd472f260f2a59d9
https://europepmc.org/articles/PMC10012374/
https://europepmc.org/articles/PMC10012374/
