Symptoms Of Alcohol Withdrawal Syndrome Research Articles

The Role of Propofol in Alcohol Withdrawal Syndrome: A Systematic Review.

The objective of this review was to evaluate the efficacy and safety of propofol in the treatment of critically ill patients diagnosed with alcohol withdrawal syndrome (AWS). A review was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) criteria, and Embase, MEDLINE (PubMed), Cochrane CENTRAL, and Web of Science were queried for results through June 2024. Studies providing efficacy or safety data associated with propofol with a reported diagnosis of AWS in critically ill patients were included. Studies evaluating pediatric patients, those without quantitative and qualitative outcome data, and those not readily translatable to English were excluded. Five retrospective cohort analyses of 218 patients were included in this systematic review. Patients were found to have both significant and non-significant increases in time to resolution of AWS symptoms when treated with propofol versus the AWS standard of care. Adjunct treatment with propofol was generally associated with reductions in total benzodiazepine use and increases in both ICU length of stay and duration of mechanical ventilation. The results of this systematic review provide the evidence necessary to support the use of propofol as an efficacious and safe medication in the management of severe and refractory AWS. Further investigation is required to determine optimal dosing strategies and durations of therapy. The results of this systematic review demonstrate the clinical utility of propofol as part of the management strategy for severe and refractory AWS.

Management of alcohol withdrawal syndrome (AWS)

Alcohol withdrawal syndrome (AWS) is a complex set of symptoms that occur in alcohol-dependent individuals after sudden withdrawal or a significant reduction in alcohol consumption. AWS symptoms occur in about 50% of alcohol abusers. These symptoms may include restlessness, tremor, nausea, nervousness, tachycardia, elevated blood pressure, hyperhidrosis, insomnia, hyperactivity, and hallucinations. In some cases, seizures may occur and delirium tremens may develop, which is life-threatening and an absolute indication for hospitalization of the patient. Effective treatment of AWS is the key to prevent complications and to reduce the risk of death. Treatment of alcohol withdrawal syndrome requires a complex approach that combines properly performed diagnosis, careful monitoring of the patient's condition, pharmacotherapy, equalization of electrolyte disorders, adequate hydration of the patient, supplementation of thiamine deficiencies and, in the case of symptoms of alcoholic delirium, intensive medical care. Pharmacological treatment plays a key role, with the first line of treatment being benzodiazepines, which reduce the risk of epileptic seizures and delirium tremens, and reduce mortality in the course of AWS. Individualized therapy adjustment and patient monitoring are crucial to ensure effective and safe treatment.

ANK3 rs10994336 and ZNF804A rs7597593 polymorphisms: genetic interaction for emotional and behavioral symptoms of alcohol withdrawal syndrome

ObjectiveAlcohol withdrawal syndrome (AWS) is a complex condition associated with alcohol use disorder (AUD), characterized by significant variations in symptom severity among patients. The psychological and emotional symptoms accompanying AWS significantly contribute to withdrawal distress and relapse risk. Despite the importance of neural adaptation processes in AWS, limited genetic investigations have been conducted. This study primarily focuses on exploring the single and interaction effects of single-nucleotide polymorphisms in the ANK3 and ZNF804A genes on anxiety and aggression severity manifested in AWS. By examining genetic associations with withdrawal-related psychopathology, we ultimately aim to advance understanding the genetic underpinnings that modulate AWS severity.MethodsThe study involved 449 male patients diagnosed with alcohol use disorder. The Self-Rating Anxiety Scale (SAS) and Buss-Perry Aggression Questionnaire (BPAQ) were used to assess emotional and behavioral symptoms related to AWS. Genomic DNA was extracted from peripheral blood, and genotyping was performed using PCR.ResultsSingle-gene analysis revealed that naturally occurring allelic variants in ANK3 rs10994336 (CC homozygous vs. T allele carriers) were associated with mood and behavioral symptoms related to AWS. Furthermore, the interaction between ANK3 and ZNF804A was significantly associated with the severity of psychiatric symptoms related to AWS, as indicated by MANOVA. Two-way ANOVA further demonstrated a significant interaction effect between ANK3 rs10994336 and ZNF804A rs7597593 on anxiety, physical aggression, verbal aggression, anger, and hostility. Hierarchical regression analyses confirmed these findings. Additionally, simple effects analysis and multiple comparisons revealed that carriers of the ANK3 rs10994336 T allele experienced more severe AWS, while the ZNF804A rs7597593 T allele appeared to provide protection against the risk associated with the ANK3 rs10994336 mutation.ConclusionThis study highlights the gene-gene interaction between ANK3 and ZNF804A, which plays a crucial role in modulating emotional and behavioral symptoms related to AWS. The ANK3 rs10994336 T allele is identified as a risk allele, while the ZNF804A rs7597593 T allele offers protection against the risk associated with the ANK3 rs10994336 mutation. These findings provide initial support for gene-gene interactions as an explanation for psychiatric risk, offering valuable insights into the pathophysiological mechanisms involved in AWS.

Phenobarbital Dosing for the Treatment of Alcohol Withdrawal Syndrome: A Review of the Literature.

Objective: To determine the most appropriate phenobarbital dosing regimen by evaluating the safety and efficacy of the drug when specifically used in alcohol withdrawal syndrome (AWS). Data sources: A comprehensive literary search was conducted using PubMed and bibliographic mining in October 2023. Study selection and data extraction: An established monotherapy phenobarbital regimen needed to be established within the article to be included in analysis. Location of implementation was not a deterrent to evaluation, nor was the route of phenobarbital administration. Data synthesis: Six publications were evaluated in this review, and two main phenobarbital dosing regimens emerged. While fix-based dosing strategies and weight-based dosing strategies resulted, the dosing within the regimens resulted in the same or relatively similar doses employed, respectively. Each of the studies had a statistically significant decrease in their primary outcome being studied, and the use of phenobarbital as monotherapy was proven to improve AWS symptoms, significantly decrease intensive care unit and hospital length of stay, decrease the use of adjunctive medications, decrease the use of a ventilator, and prevent seizures. Conclusions: Despite benzodiazepines having been the clinical first-line therapy for AWS, research shows that the pharmacokinetic stability and clinical benefits of phenobarbital are in support creation of phenobarbital protocols, as monotherapy, in hospitals or institutions for patients with AWS.

Management of alcohol withdrawal syndrome in patients with alcohol-associated liver disease.

Alcohol-associated liver disease is a common and severe sequela of excessive alcohol use; effective treatment requires attention to both liver disease and underlying alcohol use disorder (AUD). Alcohol withdrawal syndrome (AWS) can be dangerous, is a common barrier to AUD recovery, and may complicate inpatient admissions for liver-related complications. Hepatologists can address these comorbid conditions by learning to accurately stage alcohol-associated liver disease, identify AUD using standardized screening tools (eg, Alcohol Use Disorder Identification Test), and assess risk for and symptoms of AWS. Depending on the severity, alcohol withdrawal often merits admission to a monitored setting, where symptom-triggered administration of benzodiazepines based on standardized scoring protocols is often the most effective approach to management. For patients with severe liver disease, selection of benzodiazepines with less dependence on hepatic metabolism (eg, lorazepam) is advisable. Severe alcohol withdrawal often requires a "front-loaded" approach with higher dosing, as well as intensive monitoring. Distinguishing between alcohol withdrawal delirium and HE is important, though it can be difficult, and can be guided by differentiating clinical characteristics, including time to onset and activity level. There is little data on the use of adjuvant medications, including anticonvulsants, dexmedetomidine, or propofol, in this patient population. Beyond the treatment of AWS, inpatient admission and outpatient hepatology visits offer opportunities to engage in planning for ongoing management of AUD, including initiation of medications for AUD and referral to additional recovery supports. Hepatologists trained to identify AUD, alcohol-associated liver disease, and risk for AWS can proactively address these issues, ensuring that patients' AWS is managed safely and effectively and supporting planning for long-term recovery.

Exploring core symptoms of alcohol withdrawal syndrome in alcohol use disorder patients: a network analysis approach.

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. Graphical lasso network were 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. 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. 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.

Sex difference in alcohol withdrawal syndrome: a scoping review of clinical studies.

We conducted a review of all studies comparing clinical aspects of alcohol withdrawal syndrome (AWS) between men and women. Five databases (PubMed, Cochrane, EMBASE, Scopus and Clinical Trials) were searched for clinical studies using the keywords "alcohol withdrawal syndrome" or "delirium tremens" limited to "sex" or "gender" or "sex difference" or "gender difference." The search was conducted on May 19, 2023. Two reviewers selected studies including both male and female patients with AWS, and they compared males and females in type of AWS symptoms, clinical course, complications, and treatment outcome. Thirty-five observational studies were included with a total of 318,730 participants of which 75,346 had AWS. In twenty of the studies, the number of patients presenting with or developing AWS was separated by sex, resulting in a total of 8,159 (12.5%) female patients and a total of 56,928 (87.5%) male patients. Despite inconsistent results, males were more likely than females to develop complicated AWS [delirium tremens (DT) and AW seizures, collective DT in Males vs. females: 1,792 (85.4%) vs. 307 (14.6%), and collective seizures in males vs. females: 294 (78%) vs. 82 (22%)]. The rates of ICU admissions and hospital length of stay did not show sex differences. Although variable across studies, compared to females, males received benzodiazepine treatment at higher frequency and dose. One study reported that the time from first hospitalization for AWS to death was approximately 1.5 years shorter for males and males had higher mortality rate [19.5% (197/1,016)] compared to females [16% (26/163)]. Despite the significant heterogeneity of the studies selected and the lack of a focus on investigating potential sex differences, this review of clinical studies on AWS suggests that men and women exhibit different AWS manifestations. Large-scale studies focusing specifically on investigating sex difference in AWS are needed.

Predictors of Escalation to Intensive Care Unit Level of Care Among Admissions for Alcohol Withdrawal.

According to the 2019 National Survey on Drug Use and Health, 14.5 million people ages 12 and older had alcohol abuse disorder. Alcohol withdrawal syndrome (AWS) can be defined as a collection of physical symptoms experienced due to abrupt cessation of alcohol after long-term dependence. In instances where regular inpatient management fails to control AWS symptoms, patients are shifted to intensive care units (ICUs) for closer monitoring and prevention of life-threatening complications like withdrawal seizures and delirium tremens (DTs), labeled as severe alcohol withdrawal syndrome (SAWS). Although this represents a significant healthcare burden, minimal studies have been conducted to determine objective predictors. In this study, we aim to determine the effect of patient demographics, socio-economic status, biochemical parameters, and clinical factors on the need for escalation to ICU level of care among admissions for AWS. Our study showed that factors such as a history of DTs or alcohol-related seizures, the initial protocol of management, degree of reported alcohol usage, activation of rapid response teams, mean corpuscular value, alcohol level on admission, highest Clinical Institute Withdrawal Assessment Alcohol Revised (CIWA-Ar) scored during the hospital stay, and the total amount of sedatives used were significantly associated with escalation to ICU level of care. Clinicians must use these objective parameters to identify high-risk patients and intervene early. We encourage further studies to establish a scoring algorithm incorporating biochemical parameters to tailor management algorithms that might better suit high-risk patients.

Working Toward a Gold Standard: The Severity of Ethanol Withdrawal Scale (SEWS) Versus the Clinical Institute Withdrawal Assessment Alcohol Scale (CIWA-Ar).

Proving the Severity of Ethanol Withdrawal Scale (SEWS) significantly reduces Alcohol Withdrawal Syndrome (AWS) treatment Time on Medication Protocol (TOMP). Head-to-head Quality Assurance outcome compared separate cohorts of SEWS or Clinical Institute Withdrawal Assessment Alcohol Scale, Revised (CIWA-Ar) data using Student's t and Wilcoxon tests. SEWS-driven treatment (n = 244) reduced TOMP to 2.2days versus 3.4days for CIWA-Ar (n = 137); P < 0.0001. The SEWS is the superior measure of AWS symptoms.

Alcohol withdrawal produces changes in excitability, population discharge probability, and seizure threshold.

Alcohol withdrawal syndrome (AWS) results from the sudden cessation of chronic alcohol use and is associated with high morbidity and mortality. Alcohol withdrawal-induced central nervous system (CNS) hyperexcitability results from complex, compensatory changes in synaptic efficacy and intrinsic excitability. These changes in excitability counteract the depressing effects of chronic ethanol on neural transmission and underlie symptoms of AWS, which range from mild anxiety to seizures and death. The development of targeted pharmacotherapies for treating AWS has been slow, due in part to the lack of available animal models that capture the key features of human AWS. Using a unique optogenetic method of probing network excitability, we examined electrophysiologic correlates of hyperexcitability sensitive to early changes in CNS excitability. This method is sensitive to pharmacologic treatments that reduce excitability and may represent a platform for AWS drug development. We applied a newly developed method, the optogenetic population discharge threshold (oPDT), which uses light intensity response curves to measure network excitability in chronically implanted mice. Excitability was tracked using the oPDT before, during, and after the chronic intermittent exposure (CIE) model of alcohol withdrawal (WD). Alcohol withdrawal produced a dose-dependent leftward shift in the oPDT curve (denoting increased excitability), which was detectable in as few as three exposure cycles. This shift in excitability mirrored an increase in the number of spontaneous interictal spikes during withdrawal. In addition, Withdrawal lowered seizure thresholds and increased seizure severity in optogenetically kindled mice. We demonstrate that the oPDT provides a sensitive measure of alcohol withdrawal-induced hyperexcitability. The ability to actively probe the progression of excitability without eliciting potentially confounding seizures promises to be a useful tool in the preclinical development of next-generation pharmacotherapies for AWS.

Assessment of Treatment Patterns in Patients with Alcohol Withdrawal Syndrome during Hospitalisation and Post-discharge: A Retrospective Cohort Study

Introduction: Alcohol dependence is an increasing and pervasive problem. Alcohol Withdrawal Syndrome (AWS) is a cluster of symptoms that occur in alcohol-dependent individuals after cessation or reduction of alcohol consumption. However, studies on the clinicoepidemiological profile of patients with AWS and treatment patterns in India are scarce. Aim: To assess the treatment patterns during hospitalisation and after discharge in Indian patients with AWS. Materials and Methods: A retrospective observational study was conducted using data from 1000 patients with AWS who were admitted to nine addiction centres across India. Data from medical charts from the previous five years were collected over six months, from January to June 2022. The study included patients of either sex, aged ≥18 years at the time of data collection, who had been hospitalised for AWS symptoms and had ≥3 months of documented follow-ups. The primary endpoints of the study were the most commonly used medications and their dose titrations in the treatment of AWS, as well as the duration of treatment in the hospital and post-discharge. Key secondary endpoints included the socio-demographic profile of patients, common comorbidities, common signs and symptoms, the association between prescription patterns of Benzodiazepines (BZDs) and liver enzyme levels, and the average duration of hospital stay. Continuous variables were summarised as mean and Standard Deviation (SD), while categorical variables were summarised as frequency and percentages. Levels of serum Aspartate Aminotransferase (AST), Alanine Transaminase (ALT), γ-Glutamyl Transferase (GGT), and bilirubin were recorded from the source data, if available, and the association with the use of chlordiazepoxide and lorazepam was analysed using the Chi-square test. Results: The mean±SD age of the 1000 enrolled patients was 41.4±9.6 years, with the majority (n=997; 99.7%) being males. BZDs were the mainstay pharmacotherapy, with lorazepam (n=686; 68.6%) and chlordiazepoxide (n=482; 48.2%) being the two most commonly prescribed BZDs during hospitalisation. During post-discharge treatment, 57.0% (n/N=74/130) of patients received lorazepam, while 52.0% (n/N=67/130) received chlordiazepoxide. Frequently used drug regimens during hospitalisation included fixed doses of chlordiazepoxide {25 mg twice a day (BID:143/482; 29.7%), 20 mg thrice a day (TID:103/482; 21.4%), or 25mg TID (87/482; 18.0%)}, or lorazepam {2 mg TID (188/686; 27.4%), 2 mg BID (183/686; 26.7%), or 2 mg once a day (OD;175/686; 25.5%)}. Commonly observed signs and symptoms included tremors (n=567; 56.7%), irritability (n=539; 53.9%), and agitation (n=500; 50.0%). Depression (n=182; 18.2%) and anxiety (n=136; 13.6%) were the most commonly reported co-morbidities. Among the patients, only 13.4% (86/641) had an AST/ALT ratio &gt;2, and 12.9% (44/340) had AST and GGT levels &gt;2× Upper Limit of Normal (ULN). There was no significant difference in these patients between those receiving and not receiving chlordiazepoxide (p&gt;0.05). The mean±SD duration of hospitalisation was 23.1±18.97 days, while the mean±SD duration of treatment during hospitalisation and post-discharge was 22.3±16.36 days and 71.6±52.3 days, respectively. Conclusion: The two most commonly prescribed drugs during hospitalisation and post-discharge were the BZDs, lorazepam and chlordiazepoxide. Fixed-dose regimens of chlordiazepoxide at 25 mg BID or TID, or 20 mg TID, and lorazepam at 2 mg TID, BID, or OD were frequently used during hospitalisation.

Phenobarbital for the Management of Alcohol Withdrawal Syndrome in Critically Ill, Surgical-Trauma Patients

IntroductionWhile benzodiazepines (BZD) are the standard of care therapy for the management alcohol withdrawal syndrome (AWS), phenobarbital (PHB) is often used as an alternative agent. The objective of this study is to assess the use of PHB therapy for the management of AWS in trauma-surgical intensive care unit (TSCU) patients. Materials and methodsThis is an institutional review board–approved single-center, retrospective study conducted at a large academic medical center. Patients aged ≥ 18 y admitted to the TSCU receiving PHB therapy for primary management of AWS were included. The primary outcome evaluated was the incidence of AWS-related complications (AWSRC) defined as severe agitation, delirium tremens, or seizures following initiation of PHB. Secondary outcomes included the incidence of oversedation and duration of mechanical ventilation. ResultsSixty patients were included in this study. AWSRC following initiation of PHB occurred in 65% of patients. Median time to initiation of PHB (42 versus 18 h, P = 0.001) and rates of oversedation (79.5% versus 28.6%, P < 0.001) were significantly greater among patients who experienced AWSRC compared to those who did not. Univariate analysis revealed use of BZD therapy for ≥ 24 h prior to PHB initiation, time from hospital admission to PHB initiation ≥ 24 h, presence of AWS symptoms at baseline, and baseline MINDS score > 6 were risk factors for AWSRC. ConclusionsDelays in initiation of PHB appear to be associated with an increased risk for developing AWSRC. Further research is needed to identify an optimal dosing strategy for TSCU patients at high risk for severe AWS.

Management of hospitalized patients diagnosed with alcohol withdrawal syndrome

Alcohol abuse is one of the leading health problems, with subsequent alcohol withdrawal syndrome (AWS) affecting around 50% of hospitalized patients, varying from mild to severe forms. Rapid recognition of AWS symptoms, along with prompt therapeutic management in the first 24 hours, can lead to better outcome. Improper treatment is correlated with seizure or delirium tremens, requiring specific intensive care management, and being the cause of with various complications, high mortality, and increased costs. Some studies reported possible predictive factors that may help clinicians identify patients at risk of developing severe or resistant forms.

The recognition and management of protracted alcohol withdrawal may improve and modulate the pharmacological treatment of alcohol use disorder.

About 50% of persons with an alcohol use disorder may have symptoms of alcohol withdrawal syndrome (AWS) when they reduce or discontinue their alcohol consumption. Protracted alcohol withdrawal (PAW), an underestimated and not yet clearly defined clinical condition that follows the acute stage of AWS, is characterized by the presence of substance-specific signs and symptoms (i.e. anxiety, irritability, mood instability, insomnia, craving) common to acute AWS, but persisting beyond the generally expected acute AWS time frames. Considering that PAW symptoms are mainly related to the neuro-adaptive changes of gamma-aminobutyric acid (GABA) and N-methyl-d-aspartate (NMDA) systems, naltrexone, nalmefene, and disulfiram may not be able to suppress the symptoms of PAW. After treatment of the acute phase of AWS, a more specifically pharmacological therapy able to suppress PAW symptoms could perhaps be used earlier and may be more helpful in preventing the risk of alcohol relapse, which remains higher during the first months of treatment. In light of this, medications acting on GABA and NMDA neurotransmitter systems to counterbalance the up-regulation of NMDA and the down-regulation of GABA could be employed in combination and started as soon as possible.

Lipid profile dysregulation predicts alcohol withdrawal symptom severity in individuals with alcohol use disorder.

Alcohol withdrawal syndrome (AWS) is a serious medical condition of high variability in alcohol use disorder (AUD) after drinking cessation. Identification of clinical biomarkers capable of detecting severe AWS is needed. While alcohol consumption and withdrawal are linked with lipid profile dysregulation, the relationship between lipid levels (high-density lipoprotein cholesterol [HDL-C], low-density lipoprotein cholesterol [LDL-C], and triglycerides) and AWS is unknown. Therefore, this study investigated whether HDL-C, LDL-C, and triglycerides conferred risk for moderate-to-severe AWS symptoms in treatment-seeking individuals (n=732) admitted to the National Institute on Alcohol Abuse and Alcoholism (NIAAA) alcohol treatment program. Lipid levels were measured upon admission, and the Clinical Institute Withdrawal Assessment of Alcohol Scale, Revised (CIWA-Ar) assessed AWS severity for generating a three-level AWS typology (none-to-mild, moderate, and severe). Multivariable multinomial logistic regression examined whether lipid levels were associated with risk for moderate-to-severe AWS. We found significant predictive relationships between AWS and HDL-C, LDL-C, and triglycerides. While extremely high HDL-C (≥100mg/dL) conferred the highest odds for moderate (4.405, 95% CI, 2.572-7.546, p<0.001) and severe AWS (5.494, 95% CI, 3.541-8.523, p<0.001), the lowest odds ratios for moderate AWS (0.493, 95% CI, 0.248-0.981, p=0.044) and severe AWS (0.303, 95% CI, 0.223-0.411, p<0.001) were associated with high LDL-C (≥160mg/dL). The present study demonstrates that altered lipid levels, measured upon admission for inpatient AUD treatment, may help to predict which individuals are at risk for medically relevant moderate-to-severe AWS. This suggests that further research into the role of lipid biomarkers in AWS may be beneficial for identifying biologically determined risk profiles in AUD.

A Study to Analyse the Effect of Exercise in Individuals With Alcohol Withdrawal Syndrome (Aws)

Objective: The aim of the study is to find out the effect of exercise along with medications in individuals with alcohol withdrawal syndrome and to compare their result with individuals taking medications alone for alcohol withdrawal syndrome. Background of the Study: Worldwide alcohol consumption in 2010 was equal to 6.2 litres of pure alcohol which translates into 13.5 grams of pure alcohol/day. In 2012, about 3.3 million deaths were attributable to alcohol consumption. When someone stops using alcohol after a period of heavy drinking, a sought of symptoms typically includes anxiety, fast heart rate, shakiness, sweating, vomiting and a mild fever. More severe symptoms includes seizures, visual & auditory hallucination and delirium tremens (DTs). The symptoms typically begins around 6 hours following the last drink, and are worst at 24 to 72 hours. There are three stages of AWS. Stage 1(mild), stage 2(moderate) and stage 3 (severe). The treatment for AWS includes only medical intervention and psychological therapy which has good improvement. This study aims to analysis the effect of exercise along with medical intervention and psychological therapy for better improvement. Methodology: This was an experimental study design with comparative pre and post study type. Once the study is reviewed and approved by Institutional Review Board, 40 samples among 60 were selected from Turning Point Deaddiction Centre - Maduravoyal. The study includes the samples only if with stage 1, stage 2 AWS and those who are willing to participate in the study. Excludes those with stage 3 AWS, recurrent episodes of seizure, delirious mental state and old age people above 65 yrs. The outcome measure used was a questionnaire CIWA-Ar. After getting the consent, the 40 samples were equally divided and allocated into two groups–group A and group B. Group A received exercise in the form of relaxation exercise, breathing exercise, balance exercise (eg. Frenkel coordination) and low intensity high repetition endurance training along with medications. Group B received medications alone prescribed by consent registered medical practitioners in their rehabilitation centre. The intervention was carried out for 45 days. The exercise intervention for group A carried out for 5 days/week and 2 session/day. The endurance training was progressed once in a week. The post score was recorded. The pre and post data were analysed using SPSS version 21.0. Result: On comparing the mean value, both the groups showed much reduction in signs and symptoms of alcohol withdrawal syndrome. The pre test mean value for group A is 38.80. After giving them exercise intervention for 45 days, the signs and symptoms reduced to greater extent with the post mean of 9.15. In Group B, the pre and post mean are 38.75 and 19.0 respectively which is significant at P ≤ 0.001. Hence Null hypothesis is rejected. On comparing the post mean of Group A and Group B, Group A showed much reduction in the signs and symptoms of AWS than Group B. Conclusion: Exercise along with medication shows greater improvement among the individuals with alcohol withdrawal syndrome.

Effect of early and focused benzodiazepine therapy on length of stay in severe alcohol withdrawal syndrome

Objective: Current evidence supports symptom-triggered therapy for alcohol withdrawal syndrome (AWS). Early, escalating therapy with benzodiazepines (BZD) appears to decrease ICU length of stay (LOS); however, the effect on hospital LOS remains unknown. The hypothesis of this study is that focused BZD treatment in the first 24 h will decrease hospital LOS.Design: Pre–post cohort study.Setting: Academic medical center.Patients: This study included patients with severe AWS. The pre-intervention cohort (PRE) was admitted between January and November 2015. The post-intervention cohort (POST) was admitted between April 2016 and March 2017. Severe AWS was defined as patients requiring diazepam doses of >30 mg. Focused treatment was defined as >50% of total diazepam usage within the first 24 h of recognition of AWS.Intervention: In the PRE group, patients received symptom-triggered, escalating doses of diazepam and phenobarbital based on their Richmond Agitation-Sedation Scale (RASS). In the POST group, patients received a revised, time-limited course of therapy: escalating doses of BZD and phenobarbital were given during a 24-h loading phase, and all therapy was discontinued after a 72-h tapering phase. The SHOT scale was used as an adjunct to RASS to assess non-agitation symptoms of AWS and guide additional diazepam doses.Measurements and main results: The primary outcome was hospital LOS; secondary outcomes included ICU LOS, BZD use, and ventilator-free days. Five hundred thirty-two patients were treated using the AWS protocol; 113 experienced severe AWS. The PRE (n = 75) and POST (n = 38) groups were evenly matched in age, sex, history of AWS, and severity of illness. There was a substantial difference in POST patients who received focused treatment (51.3% vs. 73.7%, p = .03). The POST group had a significant decrease in hospital LOS (14.0 vs. 9.8 days, p = .03) and ICU LOS (7.4 vs. 4.4 days, p = .03).Conclusion: Early, focused management of severe AWS was associated with a decrease in ICU and hospital LOS.

Evaluating the Use of Phenobarbital for the Management of Alcohol Withdrawal Syndrome in Psychiatric Inpatients

Objectives To describe the potential role of phenobarbital as appropriate therapy in the treatment and prevention of alcohol withdrawal syndrome (AWS) among medically cleared psychiatric inpatients. Methods This was a single-center, retrospective, observational study of adult patients admitted to the psychiatric unit and administered phenobarbital for the treatment or prevention of AWS. Changes in vital signs and signs and symptoms of AWS were observed to assess the safety and efficacy of phenobarbital. The primary outcome was safety of phenobarbital for AWS as measured by change in the respiratory rate (RR). Results A total of 122 patients were included in the study. There were no significant changes in RR among patients who received phenobarbital for AWS. Significant reductions in blood pressure and heart rate were observed. Of patients with documented signs and symptoms of AWS upon admission, 94% had improvement in the signs and symptoms during phenobarbital therapy. Approximately 12% of patients had documented sedation or altered mental status during phenobarbital therapy. No patients required transfer to a medical or critical care unit. Conclusions Phenobarbital was safe, not leading to severe adverse effects or requiring a higher level of care, and efficacious for the prevention and treatment of AWS in this cohort of psychiatric inpatients.

Comparative efficacy of baclofen and lorazepam in the treatment of alcohol withdrawal syndrome.

Background:Benzodiazepines (BDZs) have been the treatment of choice for alcohol withdrawal syndrome (AWS); however, they are associated with several side effects and also have abuse potential. In some studies, the use of baclofen has been effective in reducing symptoms of alcohol withdrawal symptoms.Aim:The objective of this study was to compare the efficacy of baclofen and benzodiazepine (lorazepam) in reducing symptoms of AWS.Materials and Methods:It was a single-center, randomized, open-label study. Patients with alcohol dependence syndrome were enrolled in the study and randomized into two groups using computer-generated random table number. Baclofen (experimental group, 10 mg three times a day) and BZDs (control group, lorazepam, 8–12 mg/day in divided doses) were orally administered for reducing symptoms of alcohol withdrawal. Both groups received Vitamin B1 (100 mg/day through intramuscular route) and psychotherapeutic interventions. The severity of alcohol dependence was assessed by using the Severity of Alcohol Dependence Questionnaire, and alcohol withdrawal was assessed with the Clinical Institute Withdrawal Assessment for Alcohol, revised (CIWA-Ar).Results:Sixty-six patients were randomized (baclofen n = 34, benzodiazepine (BZD) group n = 32). Two patients (one patient in each group) had complicated withdrawal symptoms and were dropped from the final analysis. There was a significant reduction in alcohol withdrawal symptoms in both groups. There were no significant differences in CIWA-Ar scores between the two groups. Both the drugs were well-tolerated.Conclusion:Baclofen and lorazepam are comparable in efficacy and tolerability in reducing symptoms of AWS.

Sodium Oxybate Therapy for Alcohol Withdrawal Syndrome and Keeping of Alcohol Abstinence.

Gamma-hydroxybutyrate (GHB or sodium oxybate) is both an exogenous and endogenous molecule with neuromodulator properties. In the United States, GHB is an approved drug for the treatment of narcolepsy and narcolepsy with cataplexy in adults. In some European Union countries, sodium oxybate is applied for the treatment of opioid and alcohol withdrawal. The aim of the present review was to describe the state of art of the pre-clinical research and the clinical evidence related to GHB used alone or in combination with other treatments in alcohol withdrawal syndrome and alcohol abstinence maintenance. Internationally published pre-clinical findings and clinical studies investigating the effects of GHB on alcohol withdrawal syndrome and alcohol abstinence maintenance were collected and described considering seven clinical studies involving GHB in the treatment of alcohol withdrawal abstinence and five clinical studies involving GHB in the treatment of alcohol abstinence maintenance. Furthermore, GHB pharmacology and characteristics of abuse were briefly detailed. Clinical evidence indicates that GHB is effective in reducing symptoms of alcohol withdrawal syndrome and produces beneficial effects comparable to those of benzodiazepines or chlometiazole. GHB proved effective in increasing alcohol abstinence maintenance and in reducing alcohol craving, but it did not show any influence in relapses of heavy drinkers when given alone. Conversely, it seems to be effective in reducing relapses in alcohol dependent patients when given in combination with naltrexone and escitalopram. Despite this bunch of evidence, studies are still limited and investigations including a larger number of patients are needed. In addition, some safety concerns, such as insufficiency against hallucinations in alcohol withdrawal and potential development of GHB dependence have to be more investigated.