INTRODUCTION: Early accurate assessment of the clinical status of severely injured patients is crucial for guiding the surgical treatment strategy. Several scales are available to differentiate between risk categories. They vary between expert recommendations and scores developed on the basis of patient data (level II). We compared four established scoring systems in regard to their predictive abilities for early (e.g., hemorrhage-induced mortality) versus late (Multiple Organ Failure (MOF), sepsis, late death) in-hospital complications. METHODS: A database from a level I trauma center was used. The inclusion criteria implied an injury severity score (ISS) of ≥16 points, primary admission, and a complete data set from admission to hospital...
PurposeEarlier research has identified several potentially predictive features including biomarkers ...
OBJECTIVES: Trauma is an important public health issue and associated with substantial socioeconomic...
PurposeEarlier research has identified several potentially predictive features including biomarkers ...
INTRODUCTION: Early accurate assessment of the clinical status of severely injured patients is cruci...
INTRODUCTION:Early accurate assessment of the clinical status of severely injured patients is crucia...
BACKGROUND: The early hemodynamic normalization of polytrauma patients may lead to better survival o...
Introduction: Big data-based artificial intelligence (AI) has become increasingly important in medic...
Introduction Early patient assessment is relevant for surgical decision making in severely injured ...
Purpose: Systemic inflammatory response syndrome (SIRS) and sepsis as causes of multiple organ dysfu...
INTRODUCTION Early physiological assessment of multiple injured patients is crucial for decision ...
Background: Polytrauma patients are expected to have a higher risk of mortality than that obtained b...
BACKGROUND Several new definitions for categorizing the severely injured as the Berlin Definition ha...
Background: Trauma is a neglected area of the society. It is a health problem that is responsible fo...
PurposeEarlier research has identified several potentially predictive features including biomarkers ...
PurposeEarlier research has identified several potentially predictive features including biomarkers ...
PurposeEarlier research has identified several potentially predictive features including biomarkers ...
OBJECTIVES: Trauma is an important public health issue and associated with substantial socioeconomic...
PurposeEarlier research has identified several potentially predictive features including biomarkers ...
INTRODUCTION: Early accurate assessment of the clinical status of severely injured patients is cruci...
INTRODUCTION:Early accurate assessment of the clinical status of severely injured patients is crucia...
BACKGROUND: The early hemodynamic normalization of polytrauma patients may lead to better survival o...
Introduction: Big data-based artificial intelligence (AI) has become increasingly important in medic...
Introduction Early patient assessment is relevant for surgical decision making in severely injured ...
Purpose: Systemic inflammatory response syndrome (SIRS) and sepsis as causes of multiple organ dysfu...
INTRODUCTION Early physiological assessment of multiple injured patients is crucial for decision ...
Background: Polytrauma patients are expected to have a higher risk of mortality than that obtained b...
BACKGROUND Several new definitions for categorizing the severely injured as the Berlin Definition ha...
Background: Trauma is a neglected area of the society. It is a health problem that is responsible fo...
PurposeEarlier research has identified several potentially predictive features including biomarkers ...
PurposeEarlier research has identified several potentially predictive features including biomarkers ...
PurposeEarlier research has identified several potentially predictive features including biomarkers ...
OBJECTIVES: Trauma is an important public health issue and associated with substantial socioeconomic...
PurposeEarlier research has identified several potentially predictive features including biomarkers ...