Seasonality and Delirium Tremens in Hospitalized Patients with Alcohol Dependence Syndrome.

INTRODUCTION: Due to the high rate of mortality, recognizing the contributing factors of alcohol-related delirium tremens (DT), which is the most severe form of alcohol withdrawal state (AWS) is pivotal in clinical settings. Previous studies suggested relationship between seasonality and other types of delirium; however, to our knowledge, this is the first empirical study which examined the role of seasonality in DT in alcohol dependence syndrome (ADS). METHODS: A retrospective study was undertaken between 2008 and 2015; medical records of 1,591 patients were included, which yielded 2,900 hospital appearances. Three groups were formed based on the ICD-10 diagnoses: ADS, AWS, and DT. The characteristics of the groups were analysed with one-way ANOVA and χ2 tests. Multinomial logistic regression was used to explore the potential predictors of DT, including seasonality. RESULTS: The highest incidence of DT was in spring (36.8%; χ2 (3) = 27.666; p < 0.001), especially in March (13.9%; χ2 (11) = 33.168; p < 0.001). Spring, higher mean age, higher presence of comorbid somatic disorders, and lower occurrence of comorbid psychiatric disorders were significant predictive variables for DT with the control of socio-demographic and clinical variables. CONCLUSIONS: The present study revealed that spring, especially March is a critical period in temperate climate zone regarding DT. This can be interpreted as a late winter effect since the temperature is lower in this month compared to other spring months. Furthermore, higher age and the occurrence of comorbid somatic disorders can be considered as risk factors in case of DT. These results support the need of further clinical studies to better understand the impact of seasonality on DT.

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.