Effectiveness of Gabapentin as a Benzodiazepine-Sparing Agent in Alcohol Withdrawal Syndrome.

Background and Objectives: Gabapentin has shown promise as a potential agent for the treatment of alcohol withdrawal syndrome. We aimed to evaluate the effectiveness of gabapentin as a benzodiazepine-sparing agent in patients undergoing alcohol withdrawal treatment in all the hospitals of a large tertiary healthcare system. Materials and Methods: Medical records of patients admitted to the hospital for alcohol withdrawal management between 1 January 2020 and 31 August 2022 were reviewed. Patients were divided into two cohorts: benzodiazepine-only treatment who received benzodiazepines as the primary pharmacotherapy and gabapentin adjunctive treatment who received gabapentin in addition to benzodiazepines. The outcomes assessed included the total benzodiazepine dosage administered during the treatment and the length of hospital stay. The statistical models were calibrated to account for various factors. Results: A total of 4364 patients were included in the final analysis. Among these, 79 patients (1.8%) received gabapentin in addition to benzodiazepines, and 4285 patients (98.2%) received benzodiazepines only. Patients administered gabapentin required significantly lower average cumulative benzodiazepine dosages, approximately 17.9% less, compared to those not receiving gabapentin (median 2 mg vs. 4 mg of lorazepam equivalent dose (p < 0.01)). However, there were no significant differences in outcomes between the two groups. Conclusions: Our findings demonstrate that using gabapentin with benzodiazepine was associated with a reduction in the cumulative benzodiazepine dosage for alcohol withdrawal. Considering gabapentin as an adjunctive therapy holds promise for patients with comorbidities who could benefit from reducing benzodiazepine dose. This strategy warrants further investigation.

Alterations in Neurotrophins in Alcohol-Addicted Patients during Alcohol Withdrawal.

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.

Delirium Tremens: A Review of Clinical Studies.

Delirium tremens (DT) is a severe condition resulting from alcohol withdrawal. This review highlights the challenges in diagnosing and managing DT and emphasizes the importance of early recognition and intervention to prevent complications and ensure optimal patient outcomes. The discussion of the pathophysiology of DT, focusing on the neurochemical imbalances involving the neurotransmitters gamma-aminobutyric acid and glutamate, explains how chronic alcohol dependence leads to these imbalances and contributes to the hyperexcitability seen in DT. The management of DT involves ensuring patient safety and alleviating symptoms, primarily through pharmacological approaches, such as benzodiazepines. Closely monitoring vital signs and electrolyte imbalances is necessary due to autonomic dysregulation associated with DT. The mention of the potential complexity of DT when coexisting with other conditions emphasizes the need for additional research to advance comprehension, identify predictive factors, and enhance its management.

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

OBJECTIVE: Alcohol 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. METHODS: The 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. RESULTS: Single-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. CONCLUSION: This 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.

A National Analysis of Alcohol Withdrawal Syndrome in Patients with Operative Trauma.

Background: Alcohol withdrawal syndrome (AWS) presents with a complex spectrum of clinical manifestations that complicate postoperative management. In trauma setting, subjective screening for AWS remains challenging due to the criticality of injury in these patients. We thus identified several patient characteristics and perioperative outcomes associated AWS development. Methods: The 2016-2020 National Inpatient Sample was queried to identify all non-elective adult (≥18 years) hospitalizations for blunt or penetrating trauma undergoing operative management with a diagnosis of AWS. Patients with traumatic brain injury or with a hospital duration of stay <2 days were excluded. Outcomes of interest included in-hospital mortality, perioperative complications, hospitalization costs, length of stay (LOS) and non-home discharge. Results: Of an estimated 2,965,079 operative trauma hospitalizations included for analysis, 36,415 (1.23 %) developed AWS following admission. The AWS cohort demonstrated increased odds of mortality (Adjusted Odds Ratio [AOR] 1.46, 95 % Confidence Interval [95 % CI] 1.23-1.73), along with infectious (AOR 1.73, 95 % CI 1.58-1.88), cardiac (AOR 1.24, 95 % CI 1.06-1.46), and respiratory (AOR 1.96, 95 % CI 1.81-2.11) complications. AWS was associated with prolonged LOS, (ß: 3.3 days, 95 % CI: 3.0 to 3.5), greater cost (ß: +$8900, 95 % CI $7900-9800) and incremental odds of nonhome discharge (AOR 1.43, 95 % CI 1.34-1.53). Furthermore, male sex, Medicaid insurance status, head injury and thoracic operation were linked with greater odds of development of AWS. Conclusion: In the present study, AWS development was associated with increased odds of in-hospital mortality, perioperative complications, and resource burden. The identification of patient and operative characteristics linked with AWS may improve screening protocols in trauma care.

Guidelines for Reasonable and Appropriate Care in the Emergency Department (GRACE-4): Alcohol use disorder and cannabinoid hyperemesis syndrome management in the emergency department.

The fourth Society for Academic Emergency Medicine (SAEM) Guidelines for Reasonable and Appropriate Care in the Emergency Department (GRACE-4) is on the topic of the emergency department (ED) management of nonopioid use disorders and focuses on alcohol withdrawal syndrome (AWS), alcohol use disorder (AUD), and cannabinoid hyperemesis syndrome (CHS). The SAEM GRACE-4 Writing Team, composed of emergency physicians and experts in addiction medicine and patients with lived experience, applied the Grading of Recommendations Assessment Development and Evaluation (GRADE) approach to assess the certainty of evidence and strength of recommendations regarding six priority questions for adult ED patients with AWS, AUD, and CHS. The SAEM GRACE-4 Writing Team reached the following recommendations: (1) in adult ED patients (over the age of 18) with moderate to severe AWS who are being admitted to hospital, we suggest using phenobarbital in addition to benzodiazepines compared to using benzodiazepines alone [low to very low certainty of evidence]; (2) in adult ED patients (over the age of 18) with AUD who desire alcohol cessation, we suggest a prescription for one anticraving medication [very low certainty of evidence]; (2a) in adult ED patients (over the age of 18) with AUD, we suggest naltrexone (compared to no prescription) to prevent return to heavy drinking [low certainty of evidence]; (2b) in adult ED patients (over the age of 18) with AUD and contraindications to naltrexone, we suggest acamprosate (compared to no prescription) to prevent return to heavy drinking and/or to reduce heavy drinking [low certainty of evidence]; (2c) in adult ED patients (over the age of 18) with AUD, we suggest gabapentin (compared to no prescription) for the management of AUD to reduce heavy drinking days and improve alcohol withdrawal symptoms [very low certainty of evidence]; (3a) in adult ED patients (over the age of 18) presenting to the ED with CHS we suggest the use of haloperidol or droperidol (in addition to usual care/serotonin antagonists, e.g., ondansetron) to help with symptom management [very low certainty of evidence]; and (3b) in adult ED patients (over the age of 18) presenting to the ED with CHS, we also suggest offering the use of topical capsaicin (in addition to usual care/serotonin antagonists, e.g., ondansetron) to help with symptom management [very low certainty of evidence].

Biochemical, Hematological, Inflammatory, and Gut Permeability Biomarkers in Patients with Alcohol Withdrawal Syndrome with and without Delirium Tremens.

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.

"Should We Phenobarb-it-All?" A Phenobarbital-Based Protocol for Non-Intensive Care Unit Trauma Patients at High Risk of or Experiencing Alcohol Withdrawal.

BACKGROUND: Alcohol use is frequent in trauma patients and alcohol withdrawal syndrome (AWS) is associated with significant morbidity. Benzodiazepines are commonly used for AWS, but may cause neurologic and respiratory adverse events (AEs). The objective was to evaluate the effectiveness and safety of a phenobarbital-based protocol for the treatment of AWS in non-intensive care unit (ICU) trauma patients. METHODS: Adult non-ICU trauma patients at high risk of or experiencing AWS PRE and POST implementation of a phenobarbital-based protocol were included. Outcomes were AWS-related complications (AWS-RC), benzodiazepine use, adjunctive medication use, hospital length of stay (HLOS), and medication-related AEs. Subgroup analyses were performed on patients with traumatic brain injury (TBI), rib fractures, and at high risk of severe AWS. RESULTS: Overall, 110 patients were included (51 PRE, 59 POST). AWS-RC developed in 17 PRE patients compared to 10 POST patients (33% vs 17%; P = .05). PRE patients were more likely to receive benzodiazepines (88% vs 42%, P < .0001) and higher total dose (11 vs 4 mg lorazepam equivalent; P = .001). No difference noted in HLOS (8 vs 8 days, P = .27), adjunctive medication use (49% vs 54%, P = .60), or AEs (57% vs 39%, P = .06). There was no difference in AWS-RC in the TBI subgroup (P = .19), less AEs in the rib fracture POST subgroup (P = .04), and less AWS-RC in the high risk of severe AWS POST subgroup (P = .03). DISCUSSION: A phenobarbital-based protocol in trauma patients is effective in preventing AWS-RC and decreasing benzodiazepine use without increasing AEs.

Reliability and validity of the Estonian version of the Clinical Institute of Withdrawal Assessment for Alcohol scale.

AIMS: Our aim was to adapt the Clinical Institute of Withdrawal Assessment for Alcohol scale (CIWA-Ar) into Estonian and test its reliability and validity. METHODS: A total of 72 patients with alcohol withdrawal syndrome participated in the study. In order to assess the interrater reliability, at first assessment the CIWA-Ar was simultaneously completed by two nurses. In order to assess the sensitivity of the CIWA-Ar to the changes in the severity of the withdrawal syndrome, as well as its correlations to several indices characterizing the subjects' current condition, the CIWA-Ar, the Clinical Global Impression Severity subscale (CGI-S), the visual analogue scales for the assessment of the general feeling of malaise, anxiety and depression were filled in and the vital signs were measured at inclusion, in 4 h and after the withdrawal syndrome had been resolved. RESULTS: The intraclass correlation coefficient (ICC) for the Estonian version of the CIWA-Ar total score, used as an indicator of interrater reliability, was excellent. The CIWA-Ar had significant correlations with the psychiatrists' CGI-S ratings of the severity of the patient's condition at all assessment points. Significant correlations were also found between CIWA-Ar and patients' self-ratings, the highest correlations found with self-rated anxiety and general feeling of malaise. CIWA-Ar total score did not correlate with simultaneously measured heart rate, systolic and diastolic blood pressure at the first assessment. At the second assessment, heart rate had a significant correlation with the CIWA-Ar total score. CONCLUSION: Our study provides confirmation that the CIWA-Ar tool is well applicable in the Estonian language and culture setting.

Successful treatment of severe alcohol withdrawal delirium with very high-dose diazepam (260-480 mg) administration.

INTRODUCTION: Alcohol withdrawal delirium, commonly known as "delirium tremens (DT)", is the most severe clinical condition of alcohol withdrawal syndrome (AWS). Symptoms of DT include changes in consciousness and cognitive and perceptual impairments that fluctuate during the day. Treatment includes general support, such as helping the patient to re-orientate, close monitoring of vital signs and adequate hydration, and symptomatic treatment for agitation, autonomic instability, and hallucinations. In symptomatic treatment of DT, benzodiazepines are most commonly preferred due to their GABA-ergic effects. Diazepam, a benzodiazepine, has a faster onset of action than other benzodiazepines when administered intravenously (iv) and effectively controls symptoms. Although low doses of diazepam usually relieve DT symptoms, very high doses may be required in some patients. This case series discusses patients receiving high doses of diazepam to relieve DT symptoms. CASE REPORT: Four male patients aged from 43 to 57 years who regularly consumed alcohol with a daily average of 20-100 standard drinks and developed DT afterwards and were followed up in the intensive care unit are presented. In these patients, the symptoms of DT were relieved, and somnolence was achieved with the administration of very high-dose IV diazepam (260-480 mg/day), contrary to routine treatment doses. All patients were successfully treated and discharged without any morbidity. CONCLUSION: Severe AWS can potentially result in death otherwise managed quickly and adequately. Diazepam is a suitable agent for severe AWS or DT treatment. Clinicians should keep in mind that high-dose diazepam treatment may be required in the treatment of DT that develops after a long-term and high amount of alcohol consumption. Publications reporting the need for very high doses of diazepam in DT are limited and usually published long ago; in this context, our findings are significant. The evidence is often based on case reports and uncontrolled studies, so controlled trials are needed to determine optimal treatment doses in severe DT.

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.

Acute REM sleep behaviour disorder associated with alcohol withdrawal: A case report and literature review.

INTRODUCTION: Rapid eye movement (REM) sleep behaviour disorder (RBD) is a parasomnia characterised by the loss of REM sleep muscle atonia and the enactment of dreams. Acute RBD associated with alcohol withdrawal syndrome is known, but the studies are limited, particularly on its neurobiological underpinnings and management alongside the withdrawal state. This work attempts to address this using a case study and relevant literature review. CASE PRESENTATION: A 40-year-old male with alcohol dependence (for 20 years) reported new-onset terrifying nightmares and violent behaviours in his sleep precipitated by alcohol withdrawal states for the last 18 months. The polysomnographic finding of REM-without-atonia supported the diagnosis of RBD. He was treated with chlordiazepoxide 100 mg/day (gradually tapered and stopped) and thiamine supplements. Post-discharge, he remained abstinent and symptom-free during the three months of follow-up. DISCUSSION: RBD related to alcohol withdrawal syndrome has been previously described in a few anecdotal reports. Sudden withdrawal from central nervous system suppressants like alcohol is hypothesised to cause a homeostatic imbalance in gamma-aminobutyric acid (GABA) pathways and 'REM rebound', resulting in the clinical and polysomnographic picture of RBD. Benzodiazepines have been found to be useful in both RBD and alcohol withdrawal. CONCLUSIONS: Alcohol withdrawal syndrome may present with acute RBD, which can be treated with a short course of benzodiazepine. However, further studies are needed to explore the long-term course of RBD in these patients.

Impulsivity and aggression in alcohol withdrawal syndrome is modulated by the interaction of ZNF804A and mTOR polymorphism.

Alcohol withdrawal syndrome (AWS) is a poorly studied phenotype of alcohol use disorder. Understanding the relationship between allelic interactions and AWS-related impulsivity and aggression could have significant implications. This study aimed to investigate the main and interacting effects of ZNF804A and mTOR on impulsivity and aggression during alcohol withdrawal. 446 Chinese Han adult males with alcohol dependence were included in the study. Impulsivity and aggression were assessed, and genomic DNA was genotyped. Single gene analysis showed that ZNF804A rs1344706 (A allele/CC homozygote) and mTOR rs1057079 (C allele/TT homozygote) were strongly associated with AWS-related impulsivity and aggression. In the allelic group, MANOVA revealed a significant gene x gene interaction, suggesting that risk varied systematically depending on both ZNF804A and mTOR alleles. Additionally, a significant interactive effect of ZNF804A rs1344706 and mTOR rs7525957 was found on motor impulsivity and physical aggression, and the ZNF804A rs1344706 gene variant had significant effects on motor impulsivity and physical aggression only in mTOR rs7525957 TT homozygous carriers. The study showed that specific allelic combinations of ZNF804A and mTOR may have protective or risk-enhancing effects on AWS-related impulsivity and aggression.

ZSCAN25 methylation predicts seizures and severe alcohol withdrawal syndrome.

Currently, clinicians use their judgement and indices such as the Prediction of Alcohol Withdrawal Syndrome Scale (PAWSS) to determine whether patients are admitted to hospitals for consideration of withdrawal syndrome (AWS). However, only a fraction of those admitted will experience severe AWS. Previously, we and others have shown that epigenetic indices, such as the Alcohol T-Score (ATS), can quantify recent alcohol consumption. However, whether these or other alcohol biomarkers, such as carbohydrate deficient transferrin (CDT), could identify those at risk for severe AWS is unknown. To determine this, we first conducted genome-wide DNA methylation analyses of subjects entering and exiting alcohol treatment to identify loci whose methylation quickly reverted as a function of abstinence. We then tested whether methylation at a rapidly reverting locus, cg07375256, or other existing metrics including PAWSS scores, CDT levels, or ATS, could predict outcome in 125 subjects admitted for consideration of AWS. We found that PAWSS did not significantly predict severe AWS nor seizures. However, methylation at cg07375256 (ZSCAN25) and CDT strongly predicted severe AWS with ATS (p < 0.007) and cg07375256 (p < 6 × 10-5) methylation also predicting AWS associated seizures. We conclude that epigenetic methods can predict those likely to experience severe AWS and that the use of these or similar Precision Epigenetic approaches could better guide AWS management.

Phenobarbital Versus Benzodiazepines for the Treatment of Severe Alcohol Withdrawal.

BACKGROUND: Phenobarbital may offer advantages over benzodiazepines for severe alcohol withdrawal syndrome (SAWS), but its impact on clinical outcomes has not been fully elucidated. OBJECTIVE: The purpose of this study was to determine the clinical impact of phenobarbital versus benzodiazepines for SAWS. METHODS: This retrospective cohort study compared phenobarbital to benzodiazepines for the management of SAWS for patients admitted to progressive or intensive care units (ICUs) between July 2018 and July 2022. Patients included had a history of delirium tremens (DT) or seizures, Clinical Institute Withdrawal Assessment of Alcohol-Revised (CIWA-Ar) >15, or Prediction of Alcohol Withdrawal Severity Scale (PAWSS) score ≥4. The primary outcome was hospital length of stay (LOS). Secondary outcomes included progressive or ICU LOS, incidence of adjunctive pharmacotherapy, and incidence/duration of mechanical ventilation. RESULTS: The final analysis included 126 phenobarbital and 98 benzodiazepine encounters. Patients treated with phenobarbital had shorter median hospital LOS versus those treated with benzodiazepines (2.8 vs 4.7 days; P < 0.0001); a finding corroborated by multivariable analysis. The phenobarbital group also had shorter median progressive/ICU LOS (0.7 vs 1.3 days; P < 0.0001), and lower incidence of dexmedetomidine (P < 0.0001) and antipsychotic initiation (P < 0.0001). Fewer patients in the phenobarbital group compared to the benzodiazepine group received new mechanical ventilation (P = 0.045), but median duration was similar (1.2 vs 1.6 days; P = 1.00). CONCLUSION AND RELEVANCE: Scheduled phenobarbital was associated with decreased hospital LOS compared to benzodiazepines for SAWS. This was the first study to compare outcomes of fixed-dose, nonoverlapping phenobarbital to benzodiazepines in patients with clearly defined SAWS and details a readily implementable protocol.

Establishing the safety of phenobarbital treatment of alcohol withdrawal syndrome on general medical wards: A retrospective cohort study.

INTRODUCTION: Concern about adverse effects from phenobarbital limits its use in treating alcohol withdrawal syndrome (AWS) on general medical wards. Benzodiazepines are the recommended treatment for inpatient management of AWS, yet a subset of patients have an inadequate response or experience complications of AWS despite treatment with benzodiazepines. Data supporting an alternative treatment are needed. We set out to estimate the rate of serious adverse events (SAEs) of phenobarbital treatment for AWS on general medical wards. METHODS: Retrospective cohort study of all general medical ward patients hospitalized at a single tertiary urban VA Medical Center from October 2018-May 2021 who received phenobarbital for treatment of AWS. Primary outcomes were SAEs attributed to phenobarbital and treatment failure. SAEs were defined as ICU transfer or intubation for over-sedation, pneumonia, and death. Treatment failure was defined as progression of withdrawal resulting in seizure, ICU transfer, behavioral emergencies, or death. RESULTS: During the study period, phenobarbital was administered in 29% (244) of all AWS hospitalizations. Among them, 93% had a history of AWS hospitalization and 68% had a history of complicated AWS. Fifty-three percent of patients met criteria for moderate, severe, or complicated withdrawal prior to phenobarbital initiation. The mean cumulative dose of phenobarbital per patient was 966.5 mg (13.6 mg/kg). SAEs occurred in 1 of 244 hospitalizations (0.4%): there were no intubations, ICU transfers for oversedation, or deaths due to phenobarbital or AWS. One case of pneumonia was possibly attributable to phenobarbital. Treatment failures (6 ICU transfers, 9 behavioral emergencies) were identified during 12 of 244 hospitalizations (4.9%). CONCLUSIONS: SAEs and treatment failures were infrequent among 148 patients treated with phenobarbital across 244 hospitalizations with a mean cumulative dose of 966.5 mg per patient. Our findings suggest that phenobarbital is a safe alternative treatment of AWS in general medical ward patients.

Practice Patterns in the Diagnosis and Management of Alcohol Withdrawal Syndrome in Indian Intensive Care Units.

Alcohol use disorders (AUDs) are prevalent in intensive care units (ICUs). Alcohol abuse and/or dependence, leading to alcohol withdrawal syndrome (AWS), is as high as 10% or more. There seem to be wide variations in management strategies used to manage these patients, prompting an evaluation of the knowledge gap as well as finding the barriers. Noting lack of such literature in the Indian setting, a survey is undertaken to evaluate practice patterns surrounding the identification and management of alcohol dependence/abuse and AWS in the Indian critical care scenario. The main respondents of the survey are independent practitioners with anesthesia as their base specialty and overwhelmingly practice in multidisciplinary ICUs. They estimated AUD prevalence to be under 10%. The reason most expressed for lack of AUD documentation is fear of insurance rejection. Very few used risk assessment tool in evaluation of AUDs and AWS. Awareness of ICD 10/DSM-V components of AWS diagnosis was negligible. Chlordiazepoxide and lorazepam were used either in a fixed- or symptom-based therapy. Compared to available literature, haloperidol use is excessive, while barbiturates rarely. The wide variation is seen with the dose and frequency of thiamine in AWS without neurological complications. The impact on mortality and morbidity is poorly understood. In conclusion, the survey reported a lower prevalence compared to international literature. Insurance rejection is one of the main factors in limiting adequate history taking or documenting AUDs. Alcohol withdrawal syndrome risk assessment, monitoring, and management is variable and suboptimal. Variability in all aspects of AUDs is attributable to the knowledge gap. Further studies are needed to bridge the research gap. How to cite this article: Gopaldas JA, Padyana M, Rai PP. Practice Patterns in the Diagnosis and Management of Alcohol Withdrawal Syndrome in Indian Intensive Care Units. Indian J Crit Care Med 2023;27(11):816-820.

Tracking and blind deconvolution of blood alcohol concentration from transdermal alcohol biosensor data: A population model-based LQG approach in Hilbert space.

LQG control in Hilbert space, a novel approach for random abstract parabolic systems, and new transdermal alcohol biosensor technology are combined to yield tracking controllers that can be used to automate inpatient management of alcohol withdrawal syndrome and human subject intravenous alcohol infusion studies, and to blindly deconvolve blood or breath alcohol concentration from biosensor measured transdermal alcohol level. The approach taken is based on a full-body alcohol population model in the form of a random, nonlinear, hybrid system of ordinary and partial differential equations and its abstract formulation in a Gelfand triple of Bochner spaces. The efficacy of the approach is demonstrated through simulation studies based on laboratory collected drinking data.

Blood Alcohol Level as a Predictor of Withdrawal Severity.

Few studies have explored the correlation between the severity of alcohol withdrawal and blood alcohol level at the time of admission. Specifying prognostic factors for life-threatening withdrawal necessitating inpatient pharmacologic management over the course of days would be useful to identify at-risk patients at the time of admission. Hence, we present the case of a 34-year-old Caucasian male with a past medical history of poly-substance abuse who has presented to our emergency department 11 times over the past four years with a mean blood alcohol level (BAL) of 287 mg/dL upon withdrawal. BAL at the time of withdrawal is highly variable depending on the chronicity of abuse; however, a BAL this elevated is highly unusual and indicative of severe and long-term use. While in the unit at this admission, the patient's BAL was 437 and his withdrawal symptoms were severe, necessitating ICU admission and strong sedating medications to control his symptoms. Even after these interventions, he still demonstrated severe withdrawal symptoms including full body tremors, vital sign instability, and continuous visual, auditory, and tactile hallucinations. This patient presents an interesting case of severe alcohol withdrawal at an abnormally elevated blood alcohol level progressing to a prolonged withdrawal course in the ICU. Alcohol level at the time of withdrawal could be a helpful predictor of the course of severity of alcohol withdrawal; however, more studies are required to prove this relationship.