[Assessment of alcohol withdrawal syndrome: new perspectives]. / Az alkoholmegvonásos szindróma ellátása: új perspektívák.

Alcohol withdrawal syndrome is one of the most important consequences of alcohol use disorder, a complex neuropsychiatric disorder, which is firstly treated in non-specific and secondly in psychiatric/addictive in- or outpatient units. On the other hand, alcohol withdrawal syndrome is one of the most important outcomes of the severity of alcohol use disorder, further, it can lead to the development of alcohol-related seizure and delirium tremens. Hence, early recognition and optimal treatment of alcohol withdrawal syndrome have a critical importance. Therefore, the main goal of the present review was - by systematically summarizing the scientific data published during the past two decades - to form a unique diagnostic and therapeutic algorithm. During the recognition and the course of alcohol withdrawal syndrome, the Clinical Institute Withdrawal Assessment for Alcohol, Revised scale, while in the risk assessment the Prediction of Alcohol Withdrawal Severity Scale are the recommended psychometric tools. Benzodiazepines are the key elements of the pharmacotherapy of alcohol withdrawal syndrome. Many studies have evaluated that diazepam, chlordiazepoxide, lorazepam and oxazepam with distinct indications have sufficient evidence in the treatment of alcohol withdrawal syndrome. However, in the past few years some authors have recommended the importance of non-benzodiazepine medications. The efficacy of propofol, phenobarbital, carbamazepin, oxcarbamazepin and alpha-2 receptor agonists in the treatment of alcohol withdrawal syndrome have been revealed. Furthermore, it has been evaluated that benzodiazepines are recommended in the treatment of alcohol-related seizure and delirium tremens. In the present review, our aim was to construct a unique, up-to-date diagnostic and therapeutic algorithm by summarizing the related papers published during the past two decades. Hence this scheme may be useful in the optimal treatment of patients diagnosed with alcohol use disorder and it could help to conduct further clinical researches. Orv Hetil. 2023; 164(38): 1487-1496.

Evaluation of the course and treatment of Alcohol Withdrawal Syndrome with the Clinical Institute Withdrawal Assessment for Alcohol - Revised: A systematic review-based meta-analysis.

BACKGROUND: Although the Clinical Institute Withdrawal Assessment for Alcohol - Revised (CIWA-Ar) is a gold standard tool for the clinical evaluation of alcohol withdrawal syndrome (AWS), a systematic analysis using the total scores of the CIWA-Ar as a means of an objective follow-up of the course and treatment of AWS is missing. The aims of the present study were to systematically evaluate scientific data using the CIWA-Ar, to reveal whether the aggregated CIWA-Ar total scores follow the course of AWS and to compare benzodiazepine (BZD) and non-benzodiazepine (nBZD) therapies in AWS. METHODS: 1054 findings were identified with the keyword "ciwa" from four databases (PubMed, ScienceDirect, Web of Science, Cochrane Registry). Articles using CIWA-Ar in patients treated with AWS were incorporated and two measurement intervals (cumulative mean data of day 1-3 and day 4-9) of the CIWA-Ar total scores were compared. Subgroup analysis based on pharmacotherapy regimen was conducted to compare the effectiveness of BZD and nBZD treatments. RESULTS: The random effects analysis of 423 patients showed decreased CIWA-Ar scores between the two measurement intervals (BZD: d = -1.361; CI: -1.829 < δ < -0.893; nBZD: d = -0.858; CI: -1.073 < δ < -0.643). Sampling variances were calculated for the BZD (v1 = 0.215) and the nBZD (v2 = 0.106) groups, which indicated no significant group difference (z = -1.532). CONCLUSIONS: Our findings support that the CIWA-Ar follows the course of AWS. Furthermore, nBZD therapy has a similar effectiveness compared to BZD treatment based on the CIWA-Ar total scores.

[The first step towards a unified approach: validation of the Hungarian version of the Clinical Institute Withdrawal Assessment of Alcohol, Revised in Hungarian general hospital settings]. / Elso lépés egy egységes szemlélet felé: az Alkohol Megvonási Skála bevezetése a hazai betegellátási gyakorlatba.

Introduction and aim: The available literature and protocols have unequivocally suggested that the Clinical Institute Withdrawal Assessment of Alcohol, Revised is a psychometric scale for identifying and following the signs of alcohol withdrawal. However, there has not been any validated tool for the identification of withdrawal symptoms in Hungarian general hospital settings. The aim of the present study was to evaluate the validity and the reliability of the Hungarian version of this scale among patients hospitalized with alcohol withdrawal syndrome. Method: The translation of the scale into Hungarian was done by 'back translation' method, followed by testing the face validity. The empirical phase was performed in the Department of Psychiatry, University of Szeged. Patients admitted with alcohol withdrawal syndrome (n = 30) were recruited from the inpatient units of the clinic. Clinical Institute Withdrawal Assessment of Alcohol, Revised and Clinical Global Impression - Severity Scale were recorded every two days. Statistical comparisons of data were performed with repeated-measures ANOVA. Cronbach's alpha, item-total correlation, convergent and discriminant validity were determined. Results: Significant decrease of the total scores of Clinical Institute Withdrawal Assessment of Alcohol, Revised and Clinical Global Impression - Severity Scale was observed between the six measurements (F = 202.46, p<0.001; F = 503.04, p<0.001). Cronbach alpha values were above 0.7 during the first 3 measurement days. The withdrawal and severity scores recorded the same day showed positively significant correlations (>0.45). Conclusion: Our findings demonstrate that the Clinical Institute Withdrawal Assessment of Alcohol, Revised is a reliable and valid psychometric tool for the detailed analysis of withdrawal symptoms in Hungarian general hospital settings. Orv Hetil. 2019; 160(30): 1184-1192.