Differences in admission characteristics of ICH patients with and without coagulopathy
Session Number
Project ID: MEDH 37
Advisor(s)
Dr. Ali Mansour; University of Chicago
Discipline
Medical and Health Sciences
Start Date
19-4-2023 10:50 AM
End Date
19-4-2023 11:05 AM
Abstract
Coagulopathy is a medical condition in which the body's blood clotting mechanisms are impaired or disrupted. This can result in abnormal bleeding or clotting, which can be life threatening if not promptly diagnosed and treated. This is especially true in serious injuries such as intracranial hemorrhaging for penetrating brain injuries. The intent of this analysis is to determine what variables are statistically different in populations that suffer from medical coagulopathy and those that are not. A list of significant variables often measured in medical scenarios pertaining to patient bodily and mental functions are included in the data set and are then tested using various statistical tests appropriate to their respective data trends in order to determine specific values. For effective and accurate analysis, a database was used with over 40,000 patients with data pertaining to all the variables and whether coagulopathy was noted. Once data was tested, variables that suggested high correlation are analyzed to see the cause for their respective change with coagulopathy. Understanding these relationships can help to identify risk factors, predict outcomes, and develop more effective treatments. The wide range of health complications affected by coagulopathy allows for improvements in understanding and studying to be significant.
Differences in admission characteristics of ICH patients with and without coagulopathy
Coagulopathy is a medical condition in which the body's blood clotting mechanisms are impaired or disrupted. This can result in abnormal bleeding or clotting, which can be life threatening if not promptly diagnosed and treated. This is especially true in serious injuries such as intracranial hemorrhaging for penetrating brain injuries. The intent of this analysis is to determine what variables are statistically different in populations that suffer from medical coagulopathy and those that are not. A list of significant variables often measured in medical scenarios pertaining to patient bodily and mental functions are included in the data set and are then tested using various statistical tests appropriate to their respective data trends in order to determine specific values. For effective and accurate analysis, a database was used with over 40,000 patients with data pertaining to all the variables and whether coagulopathy was noted. Once data was tested, variables that suggested high correlation are analyzed to see the cause for their respective change with coagulopathy. Understanding these relationships can help to identify risk factors, predict outcomes, and develop more effective treatments. The wide range of health complications affected by coagulopathy allows for improvements in understanding and studying to be significant.