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Nayla M Nasr, Janos Sandor, Fiatal Szilvia
University of Debrecen, Hungary
ScientificTracks Abstracts: J Health Pol Manage
State of the problem: Coronary Heart Disease (CHD) is the single leading cause of mortality and morbidity and contributes to disability worldwide including the UK. Despite the advances in diagnostic technologies and therapeutic management for CHD that have been made in the past decades, no important reduction in morbidity and mortality has occurred. An accurate assessment of an individual’s risk is needed for future efforts in personalized medicine for the management of CHD. Prognostic models are used to estimate the probability of developing CHD risk in the future. We conducted this systematic review to provide an overview of multivariable prognostic modeling studies developed for CHD in the general population and to explore the optimal prognostic model by assessing their performance.
Nayla Mohamed Gomaa is a doctoral candidate at the University of Debrecen (Hungary). Her work is focused specifically on developing a model for predicting coronary heart disease in the Hungarian Roma population by using the conventional and genetic risk score (weighted and unweighted), it’s a comparison of genetic susceptibility between the Hungarian (general and Roma) populations. she attended Airlangga University in Indonesia from 2003 to 2016, where she got her master’s degree in epidemiology (honored degree) in public health (scholarship).
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