Introduction: Scoring systems defining the severity of illnesses also predict the risk of mortality in intensive care units (ICUs). The aim of this study is to detect if APACHE II and SAPS II scores are highly sensitive in the prediction of survival in elderly in the ICU. Materials and Method: Patients >70 years, admitted to the ICU during 2006-2011 were included. Demographic information, diagnosis at admission, comorbidities, duration of ICU stay, survival/mortality and, APACHE II, SAPS II scores at admission and standardized mortality rate (SMR) were recorded. The specificity and sensitivity predictive values of APACHE II and SAPS II scores were calculated on death or survival. Results: A total of 176 patients aged 70-94 (mean +/- sd=79.8...
ObjectiveThis study aimed to assess the performance of a commonly used ICU severity score (SAPS3) an...
Objective: The comparison of the APACHE II, SAPS II and SOFA scoring systems as predictors of mortal...
OBJECTIVES: To develop a scoring system model that predicts mortality within 30 days of admission of...
Elderly patients in the USA account for 26–50% of all intensive care unit (ICU) admissions. The appl...
Context: Various scoring systems have been developed to predict mortality and morbidity in Intensive...
Introduction: Since 1981, several severity scores have been proposed for ICU patients. The first one...
Objective: It is important to use scoring systems for admission to ICU or transfer of patients from ...
CONTEXT: Various scoring systems have been developed to predict mortality and morbidity in Intensive...
Background: Acute Physiology and Chronic Health Evaluation (APACHE) II and Simplified Acute Physiolo...
Background: Scoring systems can be used to define critically ill patients, estimate their prognosis,...
BACKGROUND The APACHE II score system that evaluates prognosis has been widely applied for ICU patie...
Background: The prediction of death in intensive care units is done by using scoring systems (eg APA...
Background: The Acute Physiology and Chronic Health Evaluation (APACHE) II is still commonly used as...
BACKGROUND: Trauma in the elderly (≥ 65 years) population is increasing. This study compares the per...
Background and Objective: The Acute Physiology and Chronic Health Evaluation II classification syste...
ObjectiveThis study aimed to assess the performance of a commonly used ICU severity score (SAPS3) an...
Objective: The comparison of the APACHE II, SAPS II and SOFA scoring systems as predictors of mortal...
OBJECTIVES: To develop a scoring system model that predicts mortality within 30 days of admission of...
Elderly patients in the USA account for 26–50% of all intensive care unit (ICU) admissions. The appl...
Context: Various scoring systems have been developed to predict mortality and morbidity in Intensive...
Introduction: Since 1981, several severity scores have been proposed for ICU patients. The first one...
Objective: It is important to use scoring systems for admission to ICU or transfer of patients from ...
CONTEXT: Various scoring systems have been developed to predict mortality and morbidity in Intensive...
Background: Acute Physiology and Chronic Health Evaluation (APACHE) II and Simplified Acute Physiolo...
Background: Scoring systems can be used to define critically ill patients, estimate their prognosis,...
BACKGROUND The APACHE II score system that evaluates prognosis has been widely applied for ICU patie...
Background: The prediction of death in intensive care units is done by using scoring systems (eg APA...
Background: The Acute Physiology and Chronic Health Evaluation (APACHE) II is still commonly used as...
BACKGROUND: Trauma in the elderly (≥ 65 years) population is increasing. This study compares the per...
Background and Objective: The Acute Physiology and Chronic Health Evaluation II classification syste...
ObjectiveThis study aimed to assess the performance of a commonly used ICU severity score (SAPS3) an...
Objective: The comparison of the APACHE II, SAPS II and SOFA scoring systems as predictors of mortal...
OBJECTIVES: To develop a scoring system model that predicts mortality within 30 days of admission of...