Characterization of alcohol-related seizures in withdrawal syndrome.

OBJECTIVE: Alcohol-related seizures (ARS) are one of the most important consequences of alcohol withdrawal syndrome (AWS). However, demographic and clinical characteristics, and furthermore, the relationship of ARS with delirium tremens (DT), have not yet been evaluated in detail. Therefore, the aim of the present study was to reveal the correlates of ARS and examine the interaction of ARS with the occurrence of DT and with the severity of AWS. METHODS: In the retrospective study (Study 1) 2851 medical charts of inpatient admissions characterized by AWS and DT were listed. Demographic and clinical variables of ARS were assessed. In the follow-up study (Study 2), patients admitted with AWS without (N = 28) and with (N = 18) ARS were enrolled. Study 1 was performed between 2008 and 2023, and Study 2 was performed in 2019 in Hungary. To determine the severity of AWS, the Clinical Institute Withdrawal Assessment Scale for Alcohol, Revised (CIWA-Ar) was used. ARS is a provoked, occasional seizure; therefore, patients with epilepsy syndrome were excluded from the two studies. Statistical analyses were performed by the means of chi-square tests, multinomial logistic regressions, mixed ANOVA, and derivation. RESULTS: The occurrence of DT, the history of ARS, and somatic co-morbidities were found to be risk factors for the appearance of ARS. ARS was proved to be a risk factor for the development of DT. In the follow-up study, there was no difference in the decrease of CIWA-Ar scores between the groups. SIGNIFICANCE: Our present findings support the likelihood of kindling, which is one of the most important mechanisms underlying the development of ARS, but do not directly prove its presence. Additionally, our results revealed that the severity of AWS is not influenced by the presence of ARS. PLAIN LANGUAGE SUMMARY: Provoked, occasional seizures during AWS are defined as ARS. In the present study, predictors and interactions of these seizures with DT-the most severe form of withdrawal-and with the severity of withdrawal were examined in retrospective and follow-up studies. The present study shows that a history of withdrawal seizures, the occurrence of DT, and somatic comorbidities are predictors of the development of seizures. Furthermore, our findings suggest that the presence of seizures does not influence the severity of withdrawal.

Religious status and addictive behaviors: Exploring patterns of use and psychological proneness.

BACKGROUND: Previous studies have emphasized the role of religiosity as both a protective factor and a factor contributing to the success of recovery in the case of addictive beahaviors. However, the associations between religious status and the involvement in distinct addictive behaviors as well as the associations between religious status and psychological factors have not been comprehensively examined. Therefore, the aims of the present study were to extend the literature by examining the (i) relationship between religiosity and distinct addictive behaviors including substance use and behavioral addictions, and (ii) interactive effects of religious status and psychological factors on addictive behaviors. MATERIAL AND METHODS: Data from two representative samples were analyzed (National Survey on Addiction Problems in Hungary [NSAPH]: N = 1385; 46.8% male; mean age = 41.77 years [SD = 13.08]; and Budapest Longitudinal Study [BLS]: N = 3890; 48.4% male; mean age = 27.06 years [SD = 4.76]). Distinct addictive behaviors and psychological factors related to the psychological proneness to addictive behaviors (impulsivity, sensation seeking, rumination, well-being, mentalization, and worry) were comprehensively examined in relation to religious status (religious, agnostic, and non-religious). Chi-square, Kruskal-Wallis and Mann-Whitney (MW) tests and multinomial logistic regressions were performed. RESULTS: Religious individuals showed significantly lower involvement in addictive behaviors whereas agnostic individuals showed significantly higher involvement in addictive behaviors. With regards to psychological factors related to the proneness to addictive behaviors, agnostic individuals showed the highest level of psychological proneness. The results of multinomial regression models showed that religiosity was protective in the NSAPH sample. However, worry could overwrite the protective effect. In the BLS study, the protective role of religiosity was uncertain. It was not protective in itself, but through interaction with sensation seeking, rumination and uncertian mentalization, religiosity can also be protective. DISCUSSION: The findings highlight the general protective role of religiosity in addictions. However, interaction with some psychological contructs can modify the protective role of religious status. The study also highlights the need to take into account agnostic religious status of individuals in future research. Consequently, further studies are needed to explore the causality and mediating roles between these variables.

[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.

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.