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Acute Coronary Syndrome (Acs) - Epidemiology Forecast to 2022

  • Date Submitted: 01/13/2014 09:53 PM
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EpiCast Report: Acute Coronary Syndrome (ACS) - Epidemiology Forecast to 2022

http://www.researchmoz.us/epicast-report-acute-coronary-syndrome-acs-epidemiology-forecast-to-2022-report.html

EpiCast Report: Acute Coronary Syndrome (ACS) - Epidemiology Forecast to 2022 Summary Acute coronary syndrome (ACS) is a serious cardiovascular disease associated with high healthcare costs, frequent recurrences and hospitalizations, and high risks of sudden death and short-term mortality. The ACS incidence increases with age and will be a significant public health problem as the elderly population increases around the world. ACS is classified into three disease entities based on evidence of heart muscle damage inferred from a persons symptoms, changes in the ST-tracing of the electrocardiogram (ECG), and levels of cardiac biomarkers that signify heart muscle death: ST-elevation myocardial infarction (STEMI), non-ST-elevation myocardial infarction (NSTEMI), and unstable angina (UA). These three disease entities differ in their clinical characteristics, treatment approaches, and survival probabilities. The epidemiology of ACS in the 7MM has changed significantly during the past two decades and varies between the western and Japanese markets. In order to capture the country-specific trends and provide detailed patient population segmentation, GlobalData epidemiologists built separate forecasts for (myocardial infarction) (MI) and UA in the 7MM and used a case-flow methodology to determine the number of cases that survived until hospital discharge and for one year after hospital discharge. GlobalData epidemiologists forecast that in the 7MM, the hospitalized incident cases of ACS will increase from 1.29 million cases in 2012 to 1.43 million cases in 2022 at the rate of 1.04% per year. The US constitutes around 40% of the total hospitalized incident ACS cases in the 7MM and will be the market with the highest number of cases during the forecast period. The majority of the...

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