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The "Prediction of Alcohol Withdrawal Severity Scale" (PAWSS)

NCT01637415 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 409

Last updated 2015-01-30

No results posted yet for this study

Summary

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.

Conditions

  • Alcohol Withdrawal Syndrome

Sponsors & Collaborators

Principal Investigators

  • Jose R Maldonado, MD · Stanford University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2012-05-31
Primary Completion
2014-06-30
Completion
2014-06-30

Countries

  • United States

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT01637415 on ClinicalTrials.gov