Factors predictive of complicated or severe alcohol withdrawal in alcohol dependent inpatients

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.

Molecular mechanisms of alcohol's effects on the human body: A review and update

Alcohol consumption has been linked to numerous negative health outcomes although it has some beneficial effects on moderate dosages, the most severe of which being alcohol-induced hepatitis. The number of people dying from this liver illness has been shown to climb steadily over time, and its prevalence has been increasing. Researchers have found that alcohol consumption primarily affects the brain, leading to a wide range of neurological and psychological diseases. High-alcohol-consumption addicts not only experienced seizures, but also ataxia, aggression, social anxiety, and variceal hemorrhage that ultimately resulted in death, ascites, and schizophrenia. Drugs treating this liver condition are limited and can cause serious side effects like depression. Serine-threonine kinases, cAMP protein kinases, protein kinase C, ERK, RACK 1, Homer 2, and more have all been observed to have their signaling pathways disrupted by alcohol, and alcohol has also been linked to epigenetic changes. In addition, alcohol consumption induces dysbiosis by changing the composition of the microbiome found in the gastrointestinal tract. Although more studies are needed, those that have been done suggest that probiotics aid in keeping the various microbiota concentrations stable. It has been argued that reducing one's alcohol intake may seem less harmful because excessive drinking is a lifestyle disorder.

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

Background

We conducted a review of all studies comparing clinical aspects of alcohol withdrawal syndrome (AWS) between men and women.

Methods

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.

Results

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)].

Conclusion

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.

Quantitative electroencephalographic analysis of delirium tremens development following alcohol-withdrawal seizure based on a small number of male cases

INTRODUCTION

Seizures and delirium tremens (DTs) are recognized as severe alcohol-withdrawal symptoms. Prolonged admission and serious complications associated with alcohol withdrawal are responsible for increased costs and use of medical and social resources. This study investigated the predictive value of quantitative electroencephalography (QEEG) for developing alcohol-related DTs after alcohol-withdrawal seizure (AWS).

METHODS

We compared differences in QEEG in patients after AWS (n = 13). QEEG was performed in the intensive care unit within 48 h of admission, including in age- and sex-matched healthy controls. We also investigated the prognostic value of QEEG for the development of alcohol DTs after AWS in a retrospective, case-control study. The spectral power of each band frequency and the ratio of the theta to alpha band (TAR) in the electroencephalogram were analyzed using iSyncBrain^® (iMediSync, Inc., Korea).

RESULTS

The beta frequency and the alpha frequency band power were significantly higher and lower, respectively, in patients than in age- and sex-matched healthy controls. In AWS patients with DTs, the relative beta-3 power was lower, particularly in the left frontal area, and the TAR was significantly higher in the central channel than in those without DTs.

CONCLUSION

Quantitative EEG showed neuronal excitability and decreased cognitive activities characteristic of AWS associated with alcohol-withdrawal state, and we demonstrated that quantitative EEG might be a helpful tool for detecting patients at a high risk of developing DTs during an alcohol-dependence period.

Pneumonia is a common and early complication of the Severe Alcohol Withdrawal Syndrome (SAWS)

BACKGROUND

Pneumonia (PNA) may complicate the Severe Alcohol Withdrawal Syndrome (SAWS), with ICU admission, mechanical ventilation (MV), prolonged length of stay (LOS), and adverse events.

OBJECTIVES

To examine the onset, features and courses of PNA in patients with SAWS to aid management.

METHODS

A 33 month contiguous review of SAWS and PNA was conducted at an urban public hospital.

RESULTS

There were 279 episodes of Alcohol Withdrawal Syndrome (AWS) among 255 patients. Males predominated (91%) with a mean age of 45.8 years (range 23-73), of whom 31% (87/279) developed SAWS with ICU management. Direct ICU admission occurred for 62 patients; 25 were transferred for delirium, seizures, escalating sedation, PNA or other complications. PNA was identified for 34 ICU direct admissions and 13 ward patients. Ten transfers to the ICU also developed PNA for an ICU total of 44/87 (51%), of whom 82% (36/44) required MV. Another 10 ICU patients without PNA received MV for high dose sedation or respiratory failure. Most ICU patients (72/87 (83%)), including all with MV, required IV infusion of sedation. MV prolonged LOS, but LOS for PNA with MV was similar to all MV. ICU transfers had longer LOS with greater use of MV than direct admits (p<0.05). PNA was identified before ICU admission or transfer for 73% (32/44 (p<0.05)), and usually before intubation. Most PNA was Community Acquired Pneumonia (CAP) with P. Pneumoniae frequently cultured.

CONCLUSIONS

PNA with SAWS is predominately CAP and occurs early. Focused ICU admission with respiratory support are priorities of initial management.

Alcohol Withdrawal Syndrome in Women vs Men: Analysis of 1496 Cases at a Single Site

BACKGROUND

Studies of alcohol withdrawal syndrome indicate a higher prevalence in men than in women. However, it is unknown how the condition differs between the sexes.

OBJECTIVE

To assess alcohol withdrawal syndrome in women versus men at a single site.

METHODS

All cases of alcohol withdrawal syndrome at a public hospital from 2010 to 2014 were reviewed retrospectively. For all 1496 episodes, age, sex, and admission to a general care unit (ward) versus the medical intensive care unit were ascertained, along with patient survival. A detailed analysis was performed of 437 cases: all 239 patients admitted to the medical intensive care unit, all 99 female patients admitted to the ward, and 99 randomly selected male patients admitted to the ward. Also analyzed were administration of benzodiazepines, disease course, length of stay, and complications.

RESULTS

Men accounted for 92% of all cases (1378 of 1496; P < .001) and medical intensive care unit admissions (220 of 239; P < .05). Sixteen percent of both men and women were admitted to the medical intensive care unit. Men were older (mean age, 45.6 vs 43.9 years; P < .01), and women required more benzodiazepines. Similar rates of complications occurred in both sexes, although women had a higher rate of pancreatitis and men had higher rates of pneumonia, higher rates of sepsis, and longer stays.

CONCLUSIONS

Men and women with alcohol withdrawal syndrome have similar complications, courses, and intensive care unit admission rates, although men are more prone to pneumonia and have longer stays.

COVID-19 and forced alcohol abstinence in India: The dilemmas around ethics and rights

In response to the COVID-19 pandemic, as with other countries across the world, the Central and State Governments of India initiated several measures to slow down the spread of the virus and to 'flatten the curve'. One such measure was a 'total lockdown' for several weeks across the country. A complex and unexpected outcome of the lockdown which has medical, ethical, economic, and social dimensions is related to alcohol consumption. The lockdown and consequent acute non-availability of alcohol resulted in people with alcohol dependence going into withdrawals, black marketing of alcohol, and in extreme cases suicide resulting from the alleged frustration of not having access to alcohol. The health dilemmas around this situation are biological (e.g. pushing people into risky situations-potentially fatal alcohol withdrawal, consumption of illicit or other non-consumable alcohol) and psychosocial (e.g. isolation increasing the risk of relapses, loss of control over the decision to abstain which can be detrimental to recovery, restriction of access to services for alcohol problems). The legal and rights-related dilemmas are centred around whether States have the right to impinge on individual autonomy on the grounds of public health, the capacity of the health systems to provide appropriate services to cope with those who will struggle with the unavailability of alcohol, the constitutionality of the Central government's impinging on jurisdiction of states under the guise of a health emergency caused by the pandemic, and the ability of the State to make unbiased decisions about this issue when it is highly dependent on the revenue from the sale of alcohol and associated industries. The way forward could be a pragmatic and utilitarian approach involving continued access to alcohol, while observing all physical distancing norms necessary during the pandemic, for those who want to continue drinking; and implementing innovative measures such as tele-counselling for those who wish not to return back to drinking.

A machine learning approach to risk assessment for alcohol withdrawal syndrome

At present, risk assessment for alcohol withdrawal syndrome relies on clinical judgment. Our aim was to develop accurate machine learning tools to predict alcohol withdrawal outcomes at the individual subject level using information easily attainable at patients' admission. An observational machine learning analysis using nested cross-validation and out-of-sample validation was applied to alcohol-dependent patients at two major detoxification wards (LMU, n = 389; TU, n = 805). 121 retrospectively derived clinical, blood-derived, and sociodemographic measures were used to predict 1) moderate to severe withdrawal defined by the alcohol withdrawal scale, 2) delirium tremens, and 3) withdrawal seizures. Mild and more severe withdrawal cases could be separated with significant, although highly variable accuracy in both samples (LMU, balanced accuracy [BAC] = 69.4%; TU, BAC = 55.9%). Poor outcome predictions were associated with higher cumulative clomethiazole doses during the withdrawal course. Delirium tremens was predicted in the TU cohort with BAC of 75%. No significant model predicting withdrawal seizures could be found. Our models were unique to each treatment site and thus did not generalize. For both treatment sites and withdrawal outcome different variable sets informed our models' decisions. Besides previously described variables (most notably, thrombocytopenia), we identified new predictors (history of blood pressure abnormalities, urine screening for benzodiazepines and educational attainment). In conclusion, machine learning approaches may facilitate generalizable, individualized predictions for alcohol withdrawal severity. Since predictive patterns highly vary for different outcomes of withdrawal severity and across treatment sites, prediction tools should not be recommended for clinical practice unless adequately validated in specific cohorts.

WFSBP * and IAWMH ** Guidelines for the treatment of alcohol use disorders in pregnant women

OBJECTIVES

These practice guidelines for the treatment of alcohol use disorders during pregnancy were developed by members of the International Task Force of the World Federation of Societies of Biological Psychiatry and the International Association for Women's Mental Health.

METHODS

We performed a systematic review of all available publications and extracted data from national and international guidelines. The Task Force evaluated the data with respect to the strength of evidence for the efficacy and safety of each medication.

RESULTS AND DISCUSSION

There is no safe level of alcohol use during pregnancy. Abstinence is recommended. Ideally, women should stop alcohol use when pregnancy is planned and, in any case, as soon as pregnancy is known. Detecting patterns of alcohol maternal drinking should be systematically conducted at first antenatal visit and throughout pregnancy. Brief interventions are recommended in the case of low or moderate risk of alcohol use. Low doses of benzodiazepines, for the shortest duration, may be used to prevent alcohol withdrawal symptoms when high and chronic alcohol intake is stopped and hospitalisation is recommended. Due to the low level of evidence and/or to low benefit/risk ratio, pharmacological treatment for maintenance of abstinence should not be used during pregnancy. At birth, foetal alcohol spectrum disorders must be searched for, and alcohol metabolites should be measured in meconium of neonates in any doubt of foetal alcohol exposure.

Delirium Tremens: Assessment and Management

Delirium Tremens (DT) falls in the most severe spectrum of alcohol withdrawal, which could potentially result in death, unless managed promptly and adequately. The prevalence of DT in general population is <1% and nearly 2% in patients with alcohol dependence. DT presents with a combination of severe alcohol withdrawal symptoms and symptoms of delirium with agitation and sometimes hallucination. Clinical and laboratory parameters which predict DT have been discussed. Assessment of DT includes assessment of severity of alcohol withdrawal, evaluation of delirium, and screening for underlying medical co-morbidities. Liver disease as a co-morbidity is very common in patients with DT and that could complicate the clinical presentation, determine the treatment choice, and influence the outcome. Benzodiazepines are the mainstay of treatment for DT. Diazepam and lorazepam are preferred benzodiazepine, depending upon the treatment regime and clinical context. In benzodiazepine refractory cases, Phenobarbital, propofol, and dexmedetomidine could be used.

Thirty- Versus Ten-Day Diazepam Treatment for Alcohol Detoxification and a Comparison of Drinking Patterns, Craving, and Anxiety for up to 12 Weeks: A "Proof-of-Concept" Open-Label Randomized Controlled Trial

PURPOSE

The aim of this study was to evaluate whether a prolonged detoxification treatment could decrease the relapse rate at 3 months after alcohol cessation in alcohol-dependent individuals through decreasing the levels of postdetoxification craving and anxiety.

METHODS

Twenty-six adult patients with alcohol dependence (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision) who began an outpatient alcohol cessation program with an initial drinking goal of abstinence were enrolled in a 3-month, parallel, randomized (1:1 ratio), controlled, open-label, pilot trial. Participants were randomized to receive a detoxification treatment of diazepam with a duration of 30 (n = 12) or 10 days (n = 14). All participants received BRENDA-based psychotherapy during follow-up.

RESULTS

No significant between-group difference in relapse to any drinking was found at 3 months (P = 0.20). However, relapse to any heavy drinking at 3 months and regular drinking or heavy drinking during follow-up were significantly lower in the 30-day diazepam group (P = 0.009, P = 0.049, and P = 0.004, respectively). These differences were corroborated by significant differences in the alcohol-specific biological marker carbohydrate deficient transferrin at 3 months. Participants in the 30-day diazepam group also displayed significantly lower scores for alcohol craving (P = 0.007), self-reported anxiety (P = 0.024), and clinician-assessed anxiety (P = 0.002) throughout the follow-up. No serious adverse event was reported during the study.

CONCLUSION

This study provides an evidence-based rationale for a double-blind, randomized, placebo-controlled trial to confirm the efficacy of such a procedure on short-term and mid-/long-term drinking outcomes after alcohol cessation in alcohol-dependent individuals.

Risk factors for the development of delirium in alcohol dependence syndrome: Clinical and neurobiological implications

INTRODUCTION

Alcohol withdrawal delirium (AWD) or delirium tremens (DT) is associated with severe complications and high mortality. Prospectively identifying patients with increased risk of developing DT would have important preventive and therapeutic implications. Thus, the present study aimed to identify clinical risk factors predicting the development of DT.

MATERIALS AND METHODS

The study was a cross-sectional quasi-experimental one with equivalent control group, conducted at a tertiary hospital from August 2014 to May 2015. Forty adult male inpatients, diagnosed with DT, were compared with forty age- and sex-matched inpatients in alcohol withdrawal state without delirium. Assessments were done using confusion assessment method, Clinical Institute Withdrawal Assessment of Alcohol Scale, and Mini-Mental Status Examination. For group comparisons, Pearson's Chi-square test and independent sample t-test were used; logistic regression was applied to identify predictors followed by receiver operating characteristic curve analysis.

RESULTS

Heavy drinking (P = 0.005; odds ratio [OR]: 1.17, confidence interval [CI]: 1.05-1.31), continuous pattern of drinking (P = 0.027; OR: 4.67, CI: 1.19-18.33), past history of delirium (P = 0.009; OR: 552.8, CI: 4.88-625.7), alcohol-induced psychosis (P = 0.002; OR: 74.6, CI: 4.68-1190), and presence of cognitive deficits (P = 0.044; OR: 12.5, CI: 1.07-147.3) emerged as strong predictors of AWD.

CONCLUSION

The risk factors found can be easily evaluated in a clinical setting for physicians to readily identify patients at risk for developing DT and plan intensive therapies for them. At a neurobiological level, patients with preexisting brain neurotransmitter disturbances are at greater risk for developing DT.

Alcohol withdrawal syndrome: mechanisms, manifestations, and management

The alcohol withdrawal syndrome is a well‐known condition occurring after intentional or unintentional abrupt cessation of heavy/constant drinking in patients suffering from alcohol use disorders (AUDs). AUDs are common in neurological departments with patients admitted for coma, epileptic seizures, dementia, polyneuropathy, and gait disturbances. Nonetheless, diagnosis and treatment are often delayed until dramatic symptoms occur. The purpose of this review is to increase the awareness of the early clinical manifestations of AWS and the appropriate identification and management of this important condition in a neurological setting.

The "Prediction of Alcohol Withdrawal Severity Scale" (PAWSS): systematic literature review and pilot study of a new scale for the prediction of complicated alcohol withdrawal syndrome

BACKGROUND

To date, no screening tools for alcohol withdrawal syndromes (AWS) have been validated in the medically ill. Although several tools quantify the severity of AWS (e.g., Clinical Institute Withdrawal Assessment for Alcohol [CIWA]), none identify subjects at risk of AWS, thus missing the opportunity for timely prophylaxis. Moreover, there are no validated tools for the prediction of complicated (i.e., moderate to severe) AWS in the medically ill.

OBJECTIVES

Our goals were (1) to conduct a systematic review of the published literature on AWS to identify clinical factors associated with the development of AWS, (2) to use the identified factors to develop a tool for the prediction of alcohol withdrawal among patients at risk, and (3) to conduct a pilot study to assess the validity of the tool.

METHODS

For the creation of the Prediction of Alcohol Withdrawal Severity Scale (PAWSS), we conducted a systematic literature search using PRISMA (preferred reporting items for systematic reviews and meta-analyses) guidelines for clinical factors associated with the development of AWS, using PubMed, PsychInfo, MEDLINE, and Cochrane Databases. Eligibility criteria included: (i) manuscripts dealing with human subjects, age 18 years or older, (ii) manuscripts directly addressing descriptions of AWS or its predisposing factors, including case reports, naturalistic case descriptions, and all types of clinical trials (e.g., randomized, single-blind, or open label studies), (iii) manuscripts describing characteristics of alcohol use disorder (AUD), and (iv) manuscripts dealing with animal data (which were considered only if they directly dealt with variables described in humans). Obtained data were used to develop the Prediction of Alcohol Withdrawal Severity Scale, in order to assist in the identification of patients at risk for complicated AWS. A pilot study was conducted to assess the new tool's psychometric qualities on patients admitted to a general inpatient medicine unit over a 2-week period, who agreed to participate in the study. Blind to PAWSS results, a separate group of researchers retrospectively examined the medical records for evidence of AWS.

RESULTS

The search produced 2802 articles describing factors potentially associated with increased risk for AWS, increased severity of withdrawal symptoms, and potential characteristics differentiating subjects with various forms of AWS. Of these, 446 articles met inclusion criteria and underwent further scrutiny, yielding a total of 233 unique articles describing factors predictive of AWS. A total of 10 items were identified as correlated with complicated AWS (i.e., withdrawal hallucinosis, withdrawal-related seizures, and delirium tremens) and used to construct the PAWSS. During the pilot study, a total of 68 subjects underwent evaluation with PAWSS. In this pilot sample the sensitivity, specificity, and positive and negative predictive values of PAWSS were 100%, using the threshold score of 4.

DISCUSSION

The results of the literature search identified 10 items which may be correlated with risk for complicated AWS. These items were assembled into a tool to assist in the identification of patients at risk: PAWSS. The results of this pilot study suggest that PAWSS may be useful in identifying risk of complicated AWS in medically ill, hospitalized individuals. PAWSS is the first validated tool for the prediction of severe AWS in the medically ill and its use may aid in the early identification of patients at risk for complicated AWS, allowing for prophylaxis against AWS before severe alcohol withdrawal syndromes develop.

Alcohol withdrawal delirium - diagnosis, course and treatment

OBJECTIVE

Delirium tremens represents the most severe complication of alcohol withdrawal syndrome and, in its complications, significantly increases the morbidity and mortality of patients. Alcohol withdrawal delirium is characterized by features of alcohol withdrawal itself (tremor, sweating, hypertension, tachycardia etc.) together with general delirious symptoms such as clouded consciousness, disorientation, disturbed circadian rhythms, thought processe and sensory disturbances, all of them fluctuating in time. The treatment combines a supportive and symptomatic approach. Benzodiazepines in supramaximal doses are usually used as drugs of choice but in some countries such as the Czech Republic or Germany, clomethiazole is frequently used as well.

METHOD

A computer search of the all the literature published between 1966 and December 2012 was accomplished on MEDLINE and Web of Science with the key words "delirium tremens", "alcohol withdrawal", "treatment" and "pharmacotherapy". There were no language or time limits applied.

CONCLUSIONS

When not early recognized and treated adequately, delirium tremens may result in death due to malignant arrhythmia, respiratory arrest, sepsis, severe electrolyte disturbance or prolonged seizures and subsequent trauma. Owing to these possible fatalities and other severe unexpected complications, delirium tremens should be managed at an ICU or wards ensuring vital signs monitoring. In symptomatic treatment, high doses of benzodiazepines, especially lorazepam, diazepam and oxazepam are considered the gold standard drugs. Supportive therapy is also of great importance.

Alcohol withdrawal prevention: a randomized evaluation of lorazepam and ethanol--a pilot study

BACKGROUND

Alcohol withdrawal syndrome, characterized by confusion, agitation, and hallucinations, decreases the safety of patients with acute myocardial infarction. Unexpected hospitalization and sudden cessation of alcohol consumption may increase in-hospital complications and length of stay and even precipitate death.

PURPOSE

To perform a randomized evaluation of lorazepam and ethanol/lorazepam to evaluate the safety and efficacy of these 2 strategies for preventing alcohol withdrawal syndrome in patients with acute coronary syndromes.

METHODS

Patients (n = 57) with myocardial infarction were screened for alcohol dependence by using the CAGE questionnaire and randomized to treatment with lorazepam or ethanol with lorazepam. Demographics and complication rates were analyzed by using χ² tests (categorical variables) and t tests (continuous variables). Safety (composite complication rates) of the treatment strategy was evaluated by using the Fisher exact test, and length of stay by using the Wilcoxon rank-sum test.

RESULTS

Safety-associated complication rates (self-extubation, delirium tremens, reinfarction) did not differ between groups (24% lorazepam vs 18% ethanol; P = .56). Days spent in the cardiac intensive care unit (7% lorazepam vs 2% ethanol; P = .32) and overall hospital stay (6% lorazepam vs 6% ethanol; P = .72) did not differ between the 2 groups.

CONCLUSIONS

These preliminary findings suggest that a randomized evaluation of treatment strategies to prevent complications associated with alcohol withdrawal in patients with acute myocardial infarction is safe and feasible.

Alteration of glutamate/GABA balance during acute alcohol withdrawal in emergency department: a prospective analysis

AIMS

Animal studies suggest that in alcohol withdrawal the balance of neurotransmitters gamma aminobutyric acid (GABA) and glutamate is altered. To test this in humans, we aimed to measure plasma levels of glutamate, GABA and glutamate/GABA ratio in alcoholic patients presenting with complicated AWS with the same values in non-alcohol abuser/dependent controls and to determine prognostic factors for severe withdrawal.

METHODS

88 patients admitted to the emergency room for acute alcohol intoxication (DSM-IV) were prospectively included. Measurements of GABA and glutamate were performed on admission (Time 1, T1) and after 12 ± 2 h (T2). The experimental group (EG) was composed of 23 patients who presented at T2 with a severe AWS. The control group (CG) consisted of healthy subjects paired with the EG (gender and age). Logistic regression was performed in order to compare associated clinical and biological variables that could predict severe withdrawal.

RESULTS

The concentration of GABA in the EG at T1 was significantly lower than that in the CG. The concentration of glutamate in the EG at T1 was significantly higher than that in the CG. The glutamate/GABA ratio in the EG at T1 was significantly higher than the ratio in the CG. With a multivariate logistic regression model, glutamate level at admission remained the only criterion identified as a predictor of AWS at 12 h.

CONCLUSION

Decreased synthesis of GABA and increased synthesis of glutamate might be related to withdrawal symptoms experienced on brutal cessation of chronic alcohol intake.