The Coagulopathy-Predicting Factors In Acute Trauma Patients Using The Generalized Estimation Equations Model
Introduction: Coagulation disorder is one of the major phenomena following the trauma which can
deteriorate the condition of the patients. The aim of this study is to determine some factors predicting the
incidence of coagulation disorder among acute trauma patients.
Methods: The generalized estimation equations were used to determine the predictors of blood
coagulation disorders in a sample of 736 people over 16 years of age with acute trauma in Shahid Rajaei
Hospital in Shiraz. The response variable was converted based on PT, PTT, INR, and fibrinogen level
criteria as a two-state variable (with/without coagulation disorder). In the data analysis, the correlation of
the coagulation disorder was considered in the first and second stages.
Results:The prevalence of coagulation disorders (mild, moderate and severe) was 19% in two stages and
coagulation disorders (moderate and severe) was 7.5%. Motor vehicle accident was the most common
cause of injury.The variables of blood sugar, diastolic blood pressure, pH, and sodium had a significant
effect on coagulation disorders (mild, moderate, and severe). Moreover, blood phosphorus, age, and
pupillary reflex had a significant effect on coagulation disorders (moderate and severe).
Conclusion: Predictors of coagulation disorders (mild-moderate-severe) include blood sugar, diastolic
blood pressure, pH, and sodium. Moreover, blood phosphorus, age, and pupil reflex are predictors of
moderate and severe coagulopathy. this model that taking into account the exchangeable correlation of
first- and second-stage coagulopathy had a better fit than the model ignoring this correlation.
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|Issue||Vol 8 No 4 (2022)|
|Coagulopathy, Trauma, Generalized Estimation Equations|
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