Meiqin Gong, Yun Yu, Zixuan Wang, Junming Zhang, Xiongyi Wang, Cheng Fu, Yongqing Zhang, Xiaodong Wang
scAuto as a comprehensive framework for single-cell chromatin accessibility data analysis
Computers in biology and medicine
myocardial infarction mi one lifethreatening pathologies characterized sudden cardiac death among leading causes mortality developed world study investigates demographic socioeconomic healthcare access disparities us among patients myocardial infarction mi retrospective original research study conducted using brfss behavioural risk factor surveillance system database cdc centers disease control preventiondata extracted brfss 3rd january 2024 identify patients mi year 2021 multivariate models used assess relationship factors age gender income levels education patients myocardial infarction individuals age group 65 years older constituted highest percentage mi cases 6633 1666 95 ci 10272702 pvalue 00001males showed higher prevalence mi accounting 6119 cases females demonstrated lower susceptibility 046 95 ci 043050 pvalue 00001high school graduates grade 12 ged exhibited highest incidence 3208 144 95 ci 081256 pvalue 02084 retirees accounted highest incidence 5606 significantly increased odds compared employed wages 193 95 ci 171219 pvalue 00001the analysis income levels indicated highest mi incidence 25000 income 35000 group 1731 cases additional research necessary disentangle interaction mi factors age gender education level race employment status income level findings study suggest retired individuals individuals lowerincome groups indicate disparity access timely treatment regarding mi thus determination discrepancies needs addressed regarding factors affect access timely healthcare especially matters widely prevalent diseases mi