THE STUDY OF THE VALIDITY OF PREDICTIVE ALCOHOL WITHDRAWAL SCALE (PAWS SCALE) FOR COMMUNITY HOSPITALS
Keywords:
Predictive Alcohol Withdrawal scale (PAWS scale), Alcohol Withdrawal Scale (AWS), Clinical Institute Withdrawal Assessment ForAlcohol-Revised Version (CIWA-ArScore), Alcohol Withdrawal Syndrome, Alcohol DependenceAbstract
This research is a Prospective Cohort study which aims to examine the validity of the Predictive Alcohol Withdrawal scale (PAWS scale) and to determine the appropriate score and the recommended intersection of the PAWS scale. The sample group is the people who have previously been diagnosed by the doctors against the criteria ofDSM-V and WHO with alcohol dependence F10.2. They have been examined by the PAWS scale and were indications suggesting to stay at PhanomDongRakChalermprakiet 80th Anniversary Hospital. The results of the study reveal that the average age of the sample group was 43 years with 89.90% male. The diagnosis of alcohol addicts treated at the hospital found that the number 1 was gastrointestinal disease of 16 people (22.9%), followed by the respiratory disease of 13 people18.60% and the other infections of 9 people (12.9%) respectively. The sensitivity of this predictive model was 98.10%. The specificitywas93.80% with the Positive Predictive Value of 98.10%and the Negative Predictive Valueof 93.80%. The study also found that there were 70% of the sample group with PAWS scale of more than or equal to 4 who had severely alcohol withdrawal syndrome. Therefore, the appropriate intersection score using ROC, QROC and logistic regression predicted probability was more than or equal to 4.
References
Assanangkornchai S., Vichitkunakorn P., and Tanaree A. (2019). Alcohol consumption in Thai society in the year 2017. Bangkok: Sahamit Phatthana Printing (1992).
Ballenger, J.C. and Post, R.M. (1978). Kindling as a model for alcohol withdrawal syndromes. British J. Psyc., 133(1):1-14.
Hawker, R. and Orford, J. (1998). Predicting alcohol withdrawal severity: Support for the role of expectations and anxiety. Addiction Research., 6(3):265-287.
Maldonado, J.R., Sher, Y., Ashouri, J.F., Hills-Evans, K., Swendsen, H., Lolak, S., and Miller, A.C. (2014). The “Prediction of Alcohol Withdrawal Severity Scale” (PAWSS): systematic literature review and pilot study of a new scale for the prediction of complicated alcohol withdrawal syndrome. Alcohol., 48(4):375-390.
Maldonado, J.R., Sher, Y., Das, S., Hills-Evans, K., Frenklach, A., Lolak, S. and Neri, E. (2015). Prospective validation study of the Prediction of Alcohol Withdrawal Severity Scale (PAWSS) in medically ill inpatients: a new scale for the prediction of complicated alcohol withdrawal syndrome. Alcohol and Alcoholism., 50(5):509-518.
Kittirattanapaiboon, P., Tantirangsee, N., Chutha, W., Tanaree, A., Kwansanit, N., and Assanamgkornchai, S. (2017). Prevalence of mental disorders and mental health problems: Thai national mental health survey 2013. J. Ment. Health Thai., 25(1):1-19.
Sullivan, J.T., Sykora, K., Schneiderman, J., Naranjo, C.A., and Sellers, E.M. (1989). Assessment of alcohol withdrawal: the revised clinical institute withdrawal assessment for alcohol scale (CIWA-Ar). British J. Addic., 84(11):1,353-1,357.
World Health Organization. (2019). Global status report on alcohol and health 2018. World Health Organization.
