Background
The ALERT score is a prediction of the probability of an adverse outcome for patients admitted to hospital. The Score is calculated from a GEE logistic regression model taking into consideration a number of variables such as demographic, physiologic, comorbidity, and disability factors easily obtained at the time of admission of a patient to a medical ward. The model predicts adverse hospital outcomes for patients consisting of death and/or cardiac arrest during the first 30 days of hospitalization and/or transfer to intensive care within the first 48 hours of admission. The data set used for this research included 16,757 consecutive medical admissions to medical units at four hospitals within the Winnipeg Health Region. Data was collected by a team of dedicated nurses.The variables below were identified as being the most significant predictors of an adverse outcome. The final score is a number between 0 and 1 that predicts the likelihood of an adverse outcome. The following ranges of ALERT scores given an indication of the risk of an adverse outcome:
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Dementia Cerebrovascular Disease Hemiplegia, Paraplegia, Quadruplegia Myocardial Infarction Congestive Heart Failure Peripheral Vascular Disease Chronic Pulmonary Disease Peptic Ulcer Disease Mild Liver Disease Moderate or Severe Liver Disease Moderate or Severe Renal Disease
Eye Spontaneous To Speech To Pain None Motor Obeys Commands Localizes Pain Withdrawl to Pain Abnormal Flexion Abnormal Extension None Verbal Oriented+Conv Disoriented+Conv Inappropriate Words Incomprehensible Sounds No response