Anna M Michalowska, Wenhao Zhang, Aakash Shanbhag, Robert Jh Miller, Mark Lemley, Giselle Ramirez, Mikolaj Buchwald, Aditya Killekar, Paul B Kavanagh, Attila Feher, Edward J Miller, Andrew J Einstein, Terrence D Ruddy, Joanna X Liang, Valerie Builoff, David Ouyang, Daniel S Berman, Damini Dey, Piotr J Slomka
Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction
medRxiv : the preprint server for health sciences
study aimed estimate predict burden osteoarthritis oa sitespecific oa hip knee hand others 1990 2030 attributable risk factors china data obtained global burden diseases 2019 burden estimated analyzing trends prevalence incidence disabilityadjusted life years daly population attributable risk par calculated assess impact high body mass index bmi prediction 2020 2030 implemented bayesian ageperiodcohort analysis china prevalent cases daly incident cases oa increased 13281 million 472 million 1068 million respectively agestandardized rates asrs prevalence dalys incidence increased oa sitespecific oa especially hip oa sitespecific oa showed different susceptible peaking ages burden 50 years old became serious female preference existed trends knee oa hip hand oa pars high bmi continued increase impacting knee oa hip oa showing female preference next decade incident cases oa sitespecific oa continue increase despite asr oa incidence decrease oa sitespecific oa remain huge public health challenges china burden oa sitespecific oa increasing especially among people 50 years old health education exercise removing modifiable risk factors contribute alleviate growing burden key points china burden osteoarthritis sitespecific osteoarthritis hip knee hand others well risk factor high body mass index increased greatly 1990 2019 estimated incident cases oa sitespecific oa continue increase despite asr oa incidence decrease