S3 Epidemiology and genetics 1 : COVID-19 pandemic and management of diabetes in Asia LIVE Channel C |
16:30~18:30 / Thursday 7 October Chairman:Hyun Shik Son, Kang Seo Park |
Overview |
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The COVID-19 pandemic is currently the most important global issue facing healthcare systems, and it is expected that it will still take a long time to fully overcome. Diabetes Mellitus is associated with a poor prognosis for COVID-19, and the COVID-19 pandemic is also known to negatively impact the clinical course of DM. This session will discuss the efforts of healthcare professionals to address various clinical problems related to COVID-19 in Asian patients with diabetes.. | ||
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S3-1Glycometabolic control in COVID-19: considerations in the Asian population | |
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S3-2How has covid-19 affected other chronic diseases?: A national-wide population based study | |
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S3-3Diabetes management during COVID-19 pandemic in Tokyo - telemedicine or clinic visit? | |
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S3-4Obesity, MAFLD, diabetes and Covid-19 |
S15 Epidemiology and genetics 2 : Genetics and precision medicine in diabetes: are we there yet? LIVE Channel C |
09:00~11:00 / Saturday 9 October Chairman:Kyong Soo Park, Sung-Hoon Kim |
Overview |
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This session will cover both basic genetic research and its clinical translation in diabetes. The first two speakers will review cutting-edge science in the genetics of diabetes and cardio-metabolic traits using large-scale biobanks and uncover genetic risk factors that are specific in Asians. This will be followed by two presentations that focus on the clinical utility of the genetic findings in terms of polygenic risk scores and monogenic diabetes. We hope this session will provide insights on the promises as well as shortcomings of precision medicine in diabetes. | ||
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S15-1Rare genetic variation underlying cardiometabolic diseases and traits: results from 200,000 individuals in the UK biobank | |
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S15-2East Asian specific genetic risk factor of diabetes and metabolic traits | |
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S15-3Progress in genetic research of type 2 diabetes and polygenic risk scores | |
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S15-4Rare variants in youth-onset type 2 diabetes and monogenic diabetes |
S19 Epidemiology and genetics 3 : Prediction model for diabetes and metabolic diseases LIVE Channel C |
14:30~16:30 / Saturday 9 October Chairman:Cheol Soo Choi, Jioh Mok |
Overview |
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For effective prevention and management of Diabetes Mellitus (DM), accurate prediction of which person will progress to DM in a population is a very important clinical issue. This session was composed based on the latest research done by major domestic researchers in the related field who are trying to develop an effective predictive model for Korean DM patients and seek clinical application. | ||
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S19-1Development and validation of a conventional risk prediction model for diabetes: a Korean national cohort study | |
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S19-2One-hour postprandial hyperglycemia in predicting diabetes | |
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S19-3Metabolic syndrome severity score for predicting cardiovascular events | |
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S19-4Development and validation of a deep learning based diabetes prediction system using a nationwide populationbased cohort |