Objective Sepsis Identification Tool to Study Sepsis Epidemiology

2019-10-09 09:21:36 | BioPortfolio


Globally, sepsis affects an estimated 31.5 million people and accounts for 5.3 million deaths each year. This calculation is based on data from western high income countries only. The purpose of this study is to develop an objective sepsis identification tool using electronic health records to study the epidemiology of sepsis in Hong Kong.


Globally, sepsis affects an estimated 31.5 million people and accounts for 5.3 million deaths each year. The incidence of sepsis is increasing and is now a more common cause for hospital admission than acute myocardial infarction and stroke.

However this apparent improvement in sepsis outcomes may also be due to changes in definition and reporting of sepsis. The latest Sepsis-3 definition outlines sepsis as life-threatening organ dysfunction due to dysregulated host response to infection. Trends on sepsis incidence and outcome were based on previous definitions of sepsis. Furthermore, changes in coding practices and documentation for hospital claims may cause misleading changes in incidence and outcomes. Electronic health record clinical data provides more reliable data on sepsis epidemiology than diagnostic coding accounts for. Our understanding of sepsis epidemiology is based on studies from high income western countries. Even within these countries, health expenditure and resources vary which may affect sepsis outcomes. Current data on the burden of sepsis from the rest of the world is insufficient. Hong Kong is well poised to provide these lacking data on the epidemiology of sepsis. More than 90% of inpatient care is provided by the public healthcare system and would be captured by the electronic Clinical Management System. The purpose of this study is to develop an objective sepsis identification tool using electronic health records to study the epidemiology of sepsis in Hong Kong.

Study Design




Prince of Wales Hospital
Hong Kong
Hong Kong




Chinese University of Hong Kong

Results (where available)

View Results


Published on BioPortfolio: 2019-10-09T09:21:36-0400

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