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Alcohol withdrawal syndrome (AWS) is defined as the cessation or reduction in heavy and prolonged alcohol use within several hours to a few days of cessation. The recommended first-line therapy for AWS ranging from mild to severe or complicated remains benzodiazepines; in cases where benzodiazepines are not adequate in controlling persistent autonomic hyperactivity or anxiety, dexmedetomidine could be utilized. The possible advantage of dexmedetomidine compared to benzodiazepines is that it does not cause respiratory depression, thus reducing the risk of intubation and hospitalization in the ICUs, with the potential reduction in healthcare costs. The purpose of this systematic review and meta-analysis (PROSPERO CRD42018084370) is to evaluate the effectiveness and safety of dexmedetomidine as adjunctive therapy to the standard of care for the treatment of AWS. We retrieved literature from PubMed, EMBASE, and CENTRAL until 10 January 2024. Eligible studies were both randomized trials and nonrandomised studies with a control group, published in the English language and peer-reviewed journals. The primary outcome was tracheal intubation; secondary outcomes were (i) bradycardia and (ii) hypotension. A total of 3585 papers were retrieved: 2635 from EMBASE, 930 from Medline, and 20 from CENTRAL. After eliminating duplicates, 2960 papers were screened by title and abstract; 75 out of the 2960 papers were read in full text. The qualitative synthesis included nine of all manuscripts read in full text. The quantitative synthesis included eight studies for the primary outcome (tracheal intubation), seven for the secondary outcome bradycardia, and six for the secondary outcome hypotension. The meta-analysis showed that Dexmedetomidine, as adjunctive therapy, is not more effective than standard therapy in reducing the risk of tracheal intubation in AWS [RR: 0.57, 95% CI: 0.25–1.3, p = 0.15]. It also appears to be less safe than sedative therapy as it significantly increases the risk of bradycardia [RR: 2.68, 95% CI: 1.79–4.16, p = 0.0016]. Hypotension was not significantly different in patients who received dexmedetomidine [RR: 1.5, 95% CI: 0.69–3.49, p = 0.21]. [ABSTRACT FROM AUTHOR]

Alcohol use disorder (AUD) is a significant contributor to morbidity and mortality in the United States. It contributes to over 140,000 annual deaths, to over 200 related diseases and health conditions globally, and accounts for 5.1% of the global disease burden. Despite its substantial impact, AUD remains undertreated, marked by a scarcity of approved medications. This paper explores the current treatment landscape and novel strategies for both alcohol withdrawal syndrome and AUD. Promising results, including the use of psychedelics alongside psychotherapy, noninvasive neural-circuit-based interventions, phosphodiesterase-4 inhibitors, and GLP-1 receptor agonists, have emerged from recent studies. While these advancements show potential, further research is crucial for a comprehensive understanding of their effectiveness. The clear shortage of approved medications and other treatment modalities underscores the pressing need for ongoing research. [ABSTRACT FROM AUTHOR]

This article discusses the use of optimal control in both therapeutics and epidemiology. Optimal control is a valuable tool for optimizing drug infusion protocols in cancer therapy and has gained attention in epidemiology due to the Covid-19 pandemic. The article highlights the similarities between these two contexts, such as the use of models and the need for ad-hoc techniques to implement optimal control strategies. The special issue discussed in the article includes papers on both epidemiology and therapeutics, with controls related to social distancing measures and vaccination in the former, and doses of drugs in the latter. The papers propose various approaches to dealing with model uncertainty and implement optimal controls using different techniques. Overall, this article provides an overview of the applications of optimal control in therapeutics and epidemiology. [Extracted from the article]

Alcohol withdrawal syndrome (AWS) is defined as the cessation or reduction in heavy and prolonged alcohol use within several hours to a few days of cessation. The recommended first-line therapy for AWS ranging from mild to severe or complicated remains benzodiazepines; in cases where benzodiazepines are not adequate in controlling persistent autonomic hyperactivity or anxiety, dexmedetomidine could be utilized. The possible advantage of dexmedetomidine compared to benzodiazepines is that it does not cause respiratory depression, thus reducing the risk of intubation and hospitalization in the ICUs, with the potential reduction in healthcare costs. The purpose of this systematic review and meta-analysis (PROSPERO CRD42018084370) is to evaluate the effectiveness and safety of dexmedetomidine as adjunctive therapy to the standard of care for the treatment of AWS. We retrieved literature from PubMed, EMBASE, and CENTRAL until 10 January 2024. Eligible studies were both randomized trials and nonrandomised studies with a control group, published in the English language and peer-reviewed journals. The primary outcome was tracheal intubation; secondary outcomes were (i) bradycardia and (ii) hypotension. A total of 3585 papers were retrieved: 2635 from EMBASE, 930 from Medline, and 20 from CENTRAL. After eliminating duplicates, 2960 papers were screened by title and abstract; 75 out of the 2960 papers were read in full text. The qualitative synthesis included nine of all manuscripts read in full text. The quantitative synthesis included eight studies for the primary outcome (tracheal intubation), seven for the secondary outcome bradycardia, and six for the secondary outcome hypotension. The meta-analysis showed that Dexmedetomidine, as adjunctive therapy, is not more effective than standard therapy in reducing the risk of tracheal intubation in AWS [RR: 0.57, 95% CI: 0.25–1.3, p = 0.15]. It also appears to be less safe than sedative therapy as it significantly increases the risk of bradycardia [RR: 2.68, 95% CI: 1.79–4.16, p = 0.0016]. Hypotension was not significantly different in patients who received dexmedetomidine [RR: 1.5, 95% CI: 0.69–3.49, p = 0.21].

Background: Understanding the interplay between psychopathology of alcohol withdrawal syndrome (AWS) in alcohol use disorder (AUD) patients may improve the effectiveness of relapse interventions for AUD. Network theory of mental disorders assumes that mental disorders persist not of a common functional disorder, but from a sustained feedback loop between symptoms, thereby explaining the persistence of AWS and the high relapse rate of AUD. The current study aims to establish a network of AWS, identify its core symptoms and find the bridges between the symptoms which are intervention target to relieve the AWS and break the self-maintaining cycle of AUD. Methods: Graphical lasso networkwere constructed using psychological symptoms of 553 AUD patients. Global network structure, centrality indices, cluster coefficient, and bridge symptom were used to identify the core symptoms of the AWS network and the transmission pathways between different symptom clusters. Results: The results revealed that: (1) AWS constitutes a stable symptom network with a stability coefficient (CS) of 0.21-0.75. (2) Anger (Strength = 1.52) and hostility (Strength = 0.84) emerged as the core symptom in the AWS network with the highest centrality and low clustering coefficient. (3) Hostility mediates aggression and anxiety; anger mediates aggression and impulsivity in AWS network respectively. Conclusions: Anger and hostility may be considered the best intervention targets for researching and treating AWS. Hostility and anxiety, anger and impulsiveness are independent but related dimensions, suggesting that different neurobiological bases may be involved in withdrawal symptoms, which play a similar role in withdrawal syndrome. [ABSTRACT FROM AUTHOR]

Alcoholism presents a significant health concern with notable socioeconomic implications. Alcohol withdrawal syndrome (AWS) can manifest when individuals cease or drastically reduce their alcohol consumption after prolonged use. Non-alcoholic fatty liver disease (NAFLD) is characterized by substantial lipid accumulation in the liver cells of individuals with no history of alcohol consumption. There is evidence suggesting an association between cognitive impairment and both conditions. This study aimed to evaluate cognitive impairment in patients with NAFLD and AWS using the Mini-Mental State Examination (MMSE). This study involved 120 patients admitted to two hospitals in Craiova, Romania. Results indicated that patients with NAFLD did not exhibit cognitive impairment as measured by MMSE (Mean = 29.27, SD = 0.785). Conversely, patients with AWS showed more pronounced cognitive dysfunction, with a mean MMSE score at admission of 16.60 ± 4.097 and 24.60 ± 2.832 after 2 weeks under treatment with Vitamins B1 and B6 and Cerebrolysin. Additionally, our findings suggested that cognitive dysfunction among alcohol consumers was correlated with the severity of clinical symptoms, as demonstrated by the severity of tremors in our study. The two-week period under treatment and alcohol withdrawal was insufficient for cognitive function to return to normal levels. Observational studies on longer periods of time are advised. [ABSTRACT FROM AUTHOR]

Background: Alcohol use disorder (AUD) is related to mental and somatic disorders that result in alcohol withdrawal syndrome (AWS), with 30% of AWS cases leading to life-threatening delirium tremens (DTs). Currently, studies do not support using any one biomarker in DTs. Neurotrophins affect neuromodulation, playing a role in the pathogenesis of AUD, AWS, and DTs. Methods: This review aims to summarize experimental and clinical data related to neurotrophins and S100B in neuroplasticity, as well as neurodegeneration in the context of AUD, AWS, and DTs. This work used publications that were selected based on the protocol consistent with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. Results: The BDNF level could be a good candidate biomarker for relapse susceptibility, as it is significantly reduced during consumption and gradually increases during abstinence. GDNF influences AUD through its integral role in the function of dopaminergic neurons and ablates the return to alcohol-drinking behavior. NGF protects neurons from ethanol-induced cytotoxic damage and affects recovery from cognitive deficits after brain damage. The NT-3 level is decreased after alcohol exposure and is involved in compensatory mechanisms for cognitive decline in AUD. NT-4 affects oxidative stress, which is associated with chronic alcohol consumption. S100B is used as a biomarker of brain damage, with elevated levels in serum in AUD, and can protect 5-HT neurons from the damage caused by alcohol. Conclusions: BDNF, GDNF, NT-3, NT-4, NGF, and S100B may be valuable markers for withdrawal syndrome. In particular, the most relevant is their association with the development of delirium complications. However, there are few data concerning some neurotrophins in AWS and DTs, suggesting the need for further research. [ABSTRACT FROM AUTHOR]

Background: Delirium Tremens (DT) is known to be a serious complication of alcohol withdrawal syndrome (AWS). Neurotransmitter abnormalities, inflammation, and increased permeability are associated with the pathogenesis of AWS and DT. However, the biomarkers of these conditions are still poorly understood. Methods: In this work, biochemical, hematologic, inflammatory, and gut permeability biomarkers were investigated in the following three groups: healthy controls (n = 75), severe AWS patients with DT (n = 28), and mild/moderate AWS without DT (n = 97). Blood sampling was performed after resolution of the acute condition (on 5 ± 1 day after admission) to collect clinical information from patients and to investigate associations with clinical scales. Biomarker analysis was performed using automated analyzers and ELISA. Inflammatory biomarkers included the erythrocyte sedimentation rate (ESR), high-sensitivity C-reactive protein (hsCRP), and platelet-to-lymphocyte ratio (PLR). Results: Among the biochemical biomarkers, only glucose, total cholesterol, and alanine aminotransferase (ALT) changed significantly in the analyzed groups. A multiple regression analysis showed that age and ALT were independent predictors of the CIWA-Ar score. Hematologic biomarker analysis showed an increased white blood cell count, and the elevated size and greater size variability of red blood cells and platelets (MCV, RDWc, and PDWc) in two groups of patients. Gut permeability biomarkers (FABP2, LBP, and zonulin) did not change, but were associated with comorbid pathologies (alcohol liver disease and pancreatitis). The increase in inflammatory biomarkers (ESR and PLR) was more evident in AWS patients with DT. Cluster analysis confirmed the existence of a subgroup of patients with evidence of high inflammation, and such a subgroup was more frequent in DT patients. Conclusions: These findings contribute to the understanding of biomarker variability in AWS patients with and without DT and support the heterogeneity of patients by the level of inflammation. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background: Evidence-based research indicates that subjective questionnaires should be eliminated in screening for alcohol use disorder and management of alcohol withdrawal syndrome in critical care patients. However, transitioning clinicians away from these screening tools remains challenging. Objective: To improve screening for alcohol use disorder and management of alcohol withdrawal syndrome in the critical care setting by implementing an evidence-based alcohol use disorder screening tool and alcohol withdrawal syndrome protocol for critical care patients. Methods: The project site was a 17-bed adult medical intensive care unit in a large, southeastern US teaching hospital. Interventions consisted of the elimination of previously used tools such as the Clinical Institute Withdrawal Assessment for Alcohol–Revised and implementation of the Prediction of Alcohol Withdrawal Severity Scale for alcohol use disorder screening and the Richmond Agitation-Sedation Scale and symptom-triggered benzodiazepine administration for alcohol withdrawal syndrome management. Results: Alcohol use disorder screening among the critical care patient population increased by 49% from before to after the intervention. Of the patients at risk for withdrawal, 79% had an order for monitoring with the new intensive care unit alcohol withdrawal protocol in the postintervention group, compared with 35% who had an order for monitoring with the Clinical Institute Withdrawal Assessment for Alcohol–Revised in the preintervention group. Conclusion: The elimination of previously used tools and the implementation of the Prediction of Alcohol Withdrawal Severity Scale and the new intensive care unit alcohol withdrawal protocol improved alcohol use disorder screening and alcohol withdrawal syndrome management among critical care patients. [ABSTRACT FROM AUTHOR]