AIM: Various factors that may influence the severity of the alcohol withdrawal syndrome (AWS) have been identified. We tested the predictive value of these factors compiled in a newly developed scale, LARS (Luebeck alcohol withdrawal risk scale). METHOD: A total of 100 individuals (81 males, 19 females, mean age: 47.6 +/- 9.9 years) consecutively transferred to inpatient detoxification were included in this prospective study. All fulfilled the ICD-10 criteria for alcohol dependence. The LARS was applied at the time of admission. The course of the AWS was assessed by AWS-scale at least every 4 h. The maximum AWS-score was taken as indicator of the severity of AWS. RESULTS: The mean AWS-score(max) was 6.5 +/- 3.3. In all 20% of the patients developed a severe AWS (AWS-score(max) > or =10). The maximum score usually occurred within 36 h after the last drink. A short version, the LARS11, was developed by statistically grounded item reduction. The optimal cut-off of the LARS11 was calculated as 10. The positive predictive value for severe AWS was 76%, while the negative predictive value was 98.7%. The sensitivity and specificity were high (95 or 92.5%, respectively). CONCLUSION: LARS11 assessed immediately before detoxification appears to provide a useful estimate of mild/moderate versus severe AWS, and is now ready to be validated in an independent sample.
AIM: Various factors that may influence the severity of the alcohol withdrawal syndrome (AWS) have been identified. We tested the predictive value of these factors compiled in a newly developed scale, LARS (Luebeck alcohol withdrawal risk scale). METHOD: A total of 100 individuals (81 males, 19 females, mean age: 47.6 +/- 9.9 years) consecutively transferred to inpatient detoxification were included in this prospective study. All fulfilled the ICD-10 criteria for alcohol dependence. The LARS was applied at the time of admission. The course of the AWS was assessed by AWS-scale at least every 4 h. The maximum AWS-score was taken as indicator of the severity of AWS. RESULTS: The mean AWS-score(max) was 6.5 +/- 3.3. In all 20% of the patients developed a severe AWS (AWS-score(max) > or =10). The maximum score usually occurred within 36 h after the last drink. A short version, the LARS11, was developed by statistically grounded item reduction. The optimal cut-off of the LARS11 was calculated as 10. The positive predictive value for severe AWS was 76%, while the negative predictive value was 98.7%. The sensitivity and specificity were high (95 or 92.5%, respectively). CONCLUSION: LARS11 assessed immediately before detoxification appears to provide a useful estimate of mild/moderate versus severe AWS, and is now ready to be validated in an independent sample.
Authors: Jamie H Rose; Anushree N Karkhanis; Rong Chen; Dominic Gioia; Marcelo F Lopez; Howard C Becker; Brian A McCool; Sara R Jones Journal: Int J Neuropsychopharmacol Date: 2016-04-29 Impact factor: 5.176
Authors: Tessa L Steel; Majid Afshar; Scott Edwards; Sarah E Jolley; Christine Timko; Brendan J Clark; Ivor S Douglas; Amy L Dzierba; Hayley B Gershengorn; Nicholas W Gilpin; Dwayne W Godwin; Catherine L Hough; José R Maldonado; Anuj B Mehta; Lewis S Nelson; Mayur B Patel; Darius A Rastegar; Joanna L Stollings; Boris Tabakoff; Judith A Tate; Adrian Wong; Ellen L Burnham Journal: Am J Respir Crit Care Med Date: 2021-10-01 Impact factor: 21.405