Trial ID or NCT#



not recruiting iconNOT RECRUITING


Although there are several tools that can be used to evaluate the severity of ongoing alcohol withdrawal syndrome (AWS), there is no available tool that can predict which patients are at risk for developing AWS at the time admission, before the patient has developed AWS. Unfortunately, there are severe symptoms of alcohol withdrawal (e.g., seizures) which may develop early in the hospitalization, and before the development of other systemic symptoms which may warn medical personnel of the possibility of impeding alcohol withdrawal (e.g., autonomic instability, delirium). The goal of this study is to evaluate the psychometric properties (e.g., predictive validity) of a new tool, the Prediction of Alcohol Withdrawal Severity Scale (PAWSS), on identifying which patients are at risk for developing complicated AWS (i.e., seizures, hallucinosis, delirium tremens) among hospitalized, medically ill patients.

Official Title

The "Prediction of Alcohol Withdrawal Severity Scale" (PAWSS): Development and Psychometric Characteristics of a New Scale for the Prediction of Complicated Alcohol Withdrawal Syndrome.

Eligibility Criteria

Ages Eligible for Study: Older than 18 Years
Sexes Eligible for Study: All
Accepts Healthy Volunteers: Yes


Jose R. Maldonado, MD, FAPM
Jose R. Maldonado, MD, FAPM
Psychiatrist, Transplant psychiatrist, Neuropsychiatrist
John and Terry Levin Family Professor of Medicine and Professor, by courtesy, of Emergency Medicine and of Medicine

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