Risk Factors for Delirium Tremens: A Retrospective Chart Review

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.

Mortality and alcohol-related morbidity in patients with delirium tremens, alcohol withdrawal state or alcohol dependence in Norway: A register-based prospective cohort study

BACKGROUND AND AIMS

Little is known about long-term consequences of delirium tremens (DT). This study aimed to compare all-cause and cause-specific mortality and alcohol-related morbidity between patients with: (i) DT, (ii) alcohol withdrawal state (AWS) and (iii) alcohol dependence (AD).

DESIGN

A national longitudinal health registry study with linked data from the Norwegian Patient Registry and the Norwegian Cause of Death Registry.

SETTING

Norway.

PARTICIPANTS

All patients registered in the Norwegian Patient Registry between 2009 and 2015 with a diagnosis of AD (ICD-10 code F10.2), AWS (F10.3) or DT (F10.4) and aged 20-79 years were included (n = 36 287).

MEASUREMENTS

Patients were categorized into three mutually exclusive groups; those with DT diagnosis were categorized as DT patients regardless of whether or not they had received another alcohol use disorder diagnosis during the observation period or not. Outcome measures were: annual mortality rate, standardized mortality ratios (SMR) for all-cause and cause-specific mortality and proportion of alcohol-related morbidities which were registered in the period from 2 years before to 1 year after the index diagnosis.

FINDINGS

DT patients had higher annual mortality rate (8.0%) than AWS (5.0%) and AD (3.6%) patients, respectively. DT patients had higher mortality [SMR = 9.8, 95% confidence interval (CI) = 8.9-10.7] than AD patients (SMR = 7.0, 95% CI = 6.8-7.2) and AWS patients (SMR = 7.8, 95% CI = 7.2-8.4). SMR was particularly elevated for unnatural causes of death, and more so for DT patients (SMR = 26.9, 95% CI = 21.7-33.4) than for AD patients (SMR = 15.2, 95% CI = 14.2-16.3) or AWS patients (SMR = 20.1, 95% CI = 16.9-23.9). For all comorbidities, we observed a higher proportion among DT patients than among AWS or AD patients (P < 0.001).

CONCLUSIONS

People treated for delirium tremens appear to have higher rates of mortality and comorbidity than people with other alcohol use disorders.

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.

Neutrophil-lymphocyte ratio as a predictor of delirium tremens in hospitalized patients with alcohol withdrawal

Delirium Tremens (DT) is a severe form of alcohol withdrawal that can be fatal if not recognized early and treated appropriately. In our study, we aimed to determine the role of Neutrophil-Lymphocyte ratio (NLR), a marker of systemic inflammation, in predicting the development of DT. This retrospective study was conducted in an alcohol and drug treatment center between March 2017 and March 2020. A total of 212 patients with a diagnosis of alcohol use disorder who were admitted to a special care unit after alcohol withdrawal were included. Blood tests were collected within 24 hours of the patients' admission. Comparisons were made according to whether the patients developed DT during the hospitalization. DT was diagnosed in 24.1% of the patients. It was determined that higher NLR level (odds ratio [OR]: 4.38, 95%CI: 2.58-7.43) and history of DT (OR: 1.33, 95%CI: 1.23-11.73) are independent risk factors for the development of DT in the logistic regression analysis. The optimal cut-off value of NLR in predicting DT was 2.67 (sensitivity: 82.4%, specificity: 88.8%). The ROC curve of NLR showed a larger area under the curve (AUC) than the curves of other systemic inflammation markers. NLR is a simple, practical and inexpensive marker that can predict the development of DT in patients with alcohol withdrawal syndrome.

History of Delirium Tremens in AUD Patients in Treatment: Relationship to AUD Severity and Other Factors

Introduction

Delirium tremens (DT) occurs after stopping prolonged, high alcohol intake and may be life-threatening if untreated. We need to know about clinical correlates of DT in order to provide the best clinical care.

Methods

At admission to inpatient treatment a cohort of 114 alcohol use disorder (AUD) patients were interviewed and examined concerning psychiatric diagnosis and symptoms, trauma experiences and alcohol related measures and if they had experienced DT.

Results

Twenty-four percent of the patients reported a life-time experience of DT. These patients were predominantly males and had lower educational level. More of the patients in the DT than the non-DT group reported at least one suicide attempt, were diagnosed with PTSD, and dropped out of treatment. Also, having parents with alcohol problems was more common among these patients, and they reported a longer duration of problematic drinking and a higher number of drinks needed to feel an effect of drinking. In the multivariable adjusted analysis only a diagnosis of PTSD (OR=5.71; 95% confidence interval (CI): 1.34–24.31) and duration of problematic drinking with a 6% increase in risk for every year (OR=1.06; 95% CI: 1.01–1.11) remained significant risk factors for having DT experience.

Discussion and conclusion

Having experienced DT was more prevalent in the current investigation than in earlier studies. Patients that had experienced DT seemed to have more serious AUD, especially signified by a longer duration of drinking. These patients seemed to have many clinical disadvantages including more drop-out and higher suicide rate. PTSD could be a risk factor for DT but may also follow the DT experience.

Delirium Tremens and Central Pontine Myelinolysis in a Patient with Alcohol Use Disorder and Pneumonia: a Case Report and a Narrative Review

INTRODUCTION

Delirium tremens (DT) is a serious condition occurring in alcohol withdrawal syndrome. Alcohol consumption may also cause additional health problems, such as respiratory infections or neuropsychiatric conditions such as central pontine myelinolysis. In this clinical scenario, managing DT can be expected to be more compelling and complex. Alcohol decreases coughing and mucociliary clearance and disrupts the immunity of the respiratory system.

CASE

Here we report on a middle-aged man with alcohol use disorder who had developed DT due to alcohol withdrawal and comorbid pneumonia.

DISCUSSION AND CONCLUSION

In this paper, DT, the relation between respiratory infections and alcohol intake, and the correlation of alcohol consumption and central pontine myelinolysis (CPM) are discussed. Also, the literature on alcohol consumption and the additional respiratory and neurologic problems resulting from it are presented.

Research Needs for Inpatient Management of Severe Alcohol Withdrawal Syndrome: An Official American Thoracic Society Research Statement

Background: Severe alcohol withdrawal syndrome (SAWS) is highly morbid, costly, and common among hospitalized patients, yet minimal evidence exists to guide inpatient management. Research needs in this field are broad, spanning the translational science spectrum. Goals: This research statement aims to describe what is known about SAWS, identify knowledge gaps, and offer recommendations for research in each domain of the Institute of Medicine T0-T4 continuum to advance the care of hospitalized patients who experience SAWS. Methods: Clinicians and researchers with unique and complementary expertise in basic, clinical, and implementation research related to unhealthy alcohol consumption and alcohol withdrawal were invited to participate in a workshop at the American Thoracic Society 2019 International Conference. The committee was subdivided into four groups on the basis of interest and expertise: T0-T1 (basic science research with translation to humans), T2 (research translating to patients), T3 (research translating to clinical practice), and T4 (research translating to communities). A medical librarian conducted a pragmatic literature search to facilitate this work, and committee members reviewed and supplemented the resulting evidence, identifying key knowledge gaps. Results: The committee identified several investigative opportunities to advance the care of patients with SAWS in each domain of the translational science spectrum. Major themes included 1) the need to investigate non-γ-aminobutyric acid pathways for alcohol withdrawal syndrome treatment; 2) harnessing retrospective and electronic health record data to identify risk factors and create objective severity scoring systems, particularly for acutely ill patients with SAWS; 3) the need for more robust comparative-effectiveness data to identify optimal SAWS treatment strategies; and 4) recommendations to accelerate implementation of effective treatments into practice. Conclusions: The dearth of evidence supporting management decisions for hospitalized patients with SAWS, many of whom require critical care, represents both a call to action and an opportunity for the American Thoracic Society and larger scientific communities to improve care for a vulnerable patient population. This report highlights basic, clinical, and implementation research that diverse experts agree will have the greatest impact on improving care for hospitalized patients with SAWS.

Efficacy and Safety of Anticonvulsants for the Inpatient Treatment of Alcohol Withdrawal Syndrome: A Systematic Review and Meta-analysis

AIM

To examine the efficacy and safety of antiepileptic drugs (AED) for the inpatient treatment of patients with moderate to severe alcohol withdrawal syndrome (AWS).

METHODS

We searched in databases and gray literature to include randomized controlled clinical trials in adults that compare the use of AED versus placebo or any other medication. Studies that did not specify severity or were performed on an outpatient basis were excluded. The outcomes were improvement of symptoms, delirium tremens, seizures and adverse events. Two researchers independently selected the references, extracted the data and assessed the risk of bias. A qualitative synthesis was made and, when the heterogeneity was mild or moderate, a meta-analysis was performed. The quality of the evidence obtained was evaluated with the Grading of Recommendations Assessment, Development and Evaluation tool.

RESULTS

In total, 26 studies with 1709 patients were included. No benefit is described in withdrawal syndrome severity measured by scales or in the development of delirium tremens. The only possible meta-analysis showed that there are no differences in the incidence of seizures (risk ratio [RR] = 1.0; confidence interval (CI) 95% 0.76-1.33), even when compared with placebo (RR = 0.95; CI95% 0.57-1.57). There were also no differences in adverse events, although a higher proportion of some mild cases were described with the use of carbamazepine and valproic acid.

CONCLUSIONS

The routine use of AED is not suggested in the treatment of patients with moderate or severe AWS unless indicated for comorbidity (weak recommendation against using moderate quality of evidence).

Use of Electronic Health Record Data to Estimate the Probability of Alcohol Withdrawal Syndrome in a National Cohort of Hospitalized Veterans

OBJECTIVES

Inpatient alcohol withdrawal syndrome (AWS) is common and early treatment improves outcomes, but no prior study has used electronic health record (EHR) data, available at admission, to predict the probability of inpatient AWS. This study estimated the probability of inpatient AWS using prior-year EHR data, hypothesizing that documented alcohol use disorder (AUD) and AWS would be strongly associated with inpatient AWS while exploring associations with other patient characteristics.

METHODS

The study investigated patients hospitalized ≥24 hours on medical services in the Veterans Health Administration during 2013 using EHR data extracted from the Veterans Health Administration Corporate Data Warehouse. ICD-9-CM diagnosis code, demographic, and healthcare utilization data documented in the year before admission defined prior-year AUD, AWS, and other factors associated with inpatient AWS. The primary outcome, inpatient AWS, was defined by inpatient ICD-9-CM codes.

RESULTS

The unadjusted probability of AWS was 5.0% (95% CI 4.5%-5.4%) among 209,151 medical inpatients overall, 26.4% (95% CI 24.4%-28.4%) among those with prior-year AUD, and 62.5% (95% CI 35.2%-39.7%) among those with prior-year AWS. Of those with AWS, 86% had documented prior-year AUD and/or AWS. Other patient characteristics associated with increased probability of inpatient AWS (P < 0.001) were: male sex, single relationship status, homelessness, seizure, and cirrhosis.

CONCLUSIONS

Although inpatient providers often use history to predict AWS, this is the first study in hospitalized patients to inform and validate this practice, showing that prior-year diagnosis of AUD and/or AWS in particular, can identify the majority of inpatients who should be monitored for AWS.

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.

Risk Factors for Severe Alcohol Withdrawal Syndrome in an Acute Hospital Population

BACKGROUND

The literature lacks consensus to the factors that increase the risk of a patient developing severe alcohol withdrawal syndrome (SAWS).

AIM

The study set out to identify the variables that increase the risk of SAWS in patients who have alcohol dependence syndrome.

METHODS

A case-control study was designed to investigate the variables associated with SAWS in an acute hospital setting. Three hundred eighty-two case and 382 control patients were randomly selected retrospectively from referrals to the acute addiction liaison nursing service during a 12-month period (January 1, 2015, to December 31, 2015). Statistical significance (p < .05) and association with SAWS were calculated using chi-square, Cramer's V test, odds ratio, and Levene's test.

RESULTS

Twenty-four variables have been identified as associated with SAWS development. Five of the 24 variables had a moderate-to-strong association with SAWS risk: Fast Alcohol Screening Test, Glasgow Modified Alcohol Withdrawal Scale score, AWS admission, hours since the last drink, and systolic blood pressure. The study also identified that comorbidity was associated with not developing SAWS.

CONCLUSION/RECOMMENDATIONS

These findings confirm that noninvasive variables collected in the emergency department are useful in identifying a person's risk of developing SAWS. The results of this study are a useful starting point in the exploration of SAWS and the development of a tool for use in the emergency department that can stratify risk into high and low and is the next stage of this program of work.

Development of an alcohol withdrawal risk stratification tool based on patients referred to an addiction liaison nursing service in Glasgow

Purpose

The purpose of this paper is to develop an alcohol withdrawal syndrome risk stratification tool that could support the safe discharge of low risk patients from the emergency department.

Design/methodology/approach

A retrospective cohort study that included all patients referred to the acute addiction liaison nursing service over one calendar month (n=400, 1–30 April 2016) was undertaken. Bivariate and multivariate modelling identified the significant variables that supported the prediction of severe alcohol withdrawal syndrome (SAWS) in the cohort population.

Findings

The Glasgow Modified Alcohol Withdrawal Scale (GMAWS), hours since last drink, fast alcohol screening test (FAST) and systolic blood pressure correctly identified 89 per cent of patients who developed SAWS and 84 per cent of patients that did not. Increasing each component by a score of one is associated with an increase in the odds of SAWS by a factor of 2.76 (95% CI 2.21, 3.45), 1.31 (95% CI 1.24, 1.37), 1.30 (95% CI 1.08, 1.57) and 1.22 (95% CI 1.10, 1.34), respectively.

Research limitations/implications

The research was conducted in a single healthcare system that had a high prevalence of alcohol dependence syndrome (ADS). Second, the developed risk stratification tool was unable to guarantee no risk and lastly, the FAST score previously aligned to severe ADS may have influenced the patients highest GMAWS score.

Practical implications

The tool could help redesign the care pathway for patients who attend the emergency department at risk of SAWS and link low risk patients with community alcohol services better equipped to deal with their physical and psychological needs short and long term supporting engagement, abstinence and prolongation of life.

Originality/value

The tool could help redesign the care pathway for emergency department patients at low risk of SAWS and link them with community alcohol services better equipped to deal with their physical and psychological needs, short and long term, supporting engagement, abstinence and prolongation of life.

Severe alcohol withdrawal syndrome: review of the literature

Purpose

The purpose of this paper is to identify published literature from a general hospital setting that may highlight variables implicated in the development of severe alcohol withdrawal syndrome (SAWS) in patients who have alcohol dependence syndrome (ADS).

Design/methodology/approach

A systematic literature review was carried out using the electronic databases: MEDLINE, Medline in Process, Cinahl, Embase and PsycINFO from 1989 to 2017. The focus of this search was on English language studies of individuals over 16 years admitted to general hospital with ADS, delirium tremens (DTs), alcohol-related seizure (ARS) or alcohol withdrawal syndrome (AWS).

Findings

Of the 205 studies screened, eight met the criteria for inclusion. Six studies were quantitative retrospective cohort and two were retrospective case-control. Six studies investigated risk factors associated with DTs, one examined SAWS and one alcohol kindling. Descriptive analysis was performed to summarise the empirical evidence from studies were 22 statistically significant risk factors were found; including the reason for admission to hospital, daily alcohol consumption, previous DTs and prior ARS. The last two factors mentioned appeared in two studies.

Research limitations/implications

Further research should consider the quality and completeness of the alcohol history data and competence of staff generating the data in retrospective studies.

Originality/value

The paper suggests that the factors linked to SAWS development from the literature may not fully explain why some individuals who have ADS develop SAWS, and others do not.

Impact of an Alcohol Withdrawal Treatment Pathway on Hospital Length of Stay: A Retrospective Observational Study Comparing Pre and Post Pathway Implementation

OBJECTIVE

To determine if the implementation of a hospital-specific alcohol withdrawal treatment pathway used in a medical-surgical patient population decreased hospital length of stay (LOS) compared with the standard of care.

METHODS

This retrospective observational study, conducted in a large academic tertiary care hospital, involved 582 subjects who met criteria for study inclusion, with 275 subjects in the 2010 cohort and 307 in the 2012 cohort. The Alcohol Withdrawal Project Team was formed with the goal of creating a standardized approach to the recognition and treatment of alcohol withdrawal at Duke University Hospital. The group created a computerized physician order entry alcohol withdrawal treatment pathway with 4 possible treatment paths chosen on the basis of current withdrawal symptoms, vital signs, and alcohol withdrawal history. The 4 treatment paths are 1 prophylaxis; 2 mild-to-moderate withdrawal; 3 moderate-to-severe withdrawal, and 4 severe withdrawal/alcohol withdrawal delirium. Each treatment path corresponds to a different lorazepam dose and dose schedule and symptom assessment. This pathway was implemented in the hospital at the end of 2011.

RESULTS

Using a Cox proportional hazards model and adjusting for covariates, there was a 1 day [95% confidence interval (CI), 1-2 d] reduction in median hospital LOS between the 2010 and 2012 cohorts, 5 versus 4 days, respectively. The average ratio in hospital LOS between the 2 cohorts was 1.25 (95% CI, 1.25-1.67). The CI was estimated by bootstrapping and indicated a significantly longer LOS in the 2010 cohort compared with the 2012 cohort. Nonsignificant changes were found in the proportion of subjects admitted to the intensive care unit (24% in 2010 vs. 29.3% in 2012), LOS in the intensive care unit (7.1±8 d in 2010 vs. 5.6±6.9 d in 2012), and proportion of patients discharged with a diagnosis of delirium tremens (17.8% in 2010 vs. 15.3% in 2012).

CONCLUSIONS

This study demonstrates the successful implementation of an alcohol withdrawal treatment pathway in a medical-surgical population hospitalized in a large tertiary care facility with significant impact on hospital LOS.

A systematic nurse-led approach to withdrawal risk screening, prevention and treatment among inpatients with an alcohol use disorder in an ear, nose, throat and jaw surgery department-A formative evaluation

INTRODUCTION

Among patients with head and neck cancer comorbid alcohol use disorder is frequent which contributes to higher risk of developing perioperative alcohol withdrawal syndrome/delirium or delirium due to medical conditions. Although guidelines emphasize prevention and treatment of alcohol withdrawal in hospitalized patients, a validated systematic approach for management of these patients is still lacking. Our aim was to formatively evaluate our newly developed systematic approach in view of nurses' adherence to screening patients for regular alcohol consumption and managing their withdrawal symptoms using the Clinical Institute Withdrawal Assessment of Alcohol Scale, Revised.

METHODS

We conducted a formative evaluation to improve the project's design and performance and used a retrospective chart review in a consecutive sample of all adult inpatients with head and neck cancer being assigned for surgery in a university hospital. Our bundle of interventions consisted of nurses' screenings for regular alcohol consumption, withdrawal risk assessment, offering patients a substitution therapy, nurses' assessments of withdrawal symptoms and symptom oriented withdrawal management. Proximate endpoints were analyzed descriptively at each component of the bundle in terms of frequencies and severity of withdrawal symptoms, frequencies of nurses' and doctors' screenings and nurses' assessments performed as required.

RESULTS

Between 2013 and 2014, 87 inpatients met inclusion criteria and screenings by doctors/ nurses revealed 49 alcohol consumers, where six screenings were omitted by nurses and six by doctors. Twenty-one consumers were at risk and six of them developed an alcohol withdrawal syndrome. None of the 87 showed an alcohol withdrawal delirium, but five developed a delirium due to medical conditions. Nurses correctly conducted all preventive elements of the intervention bundle in 14 (58%) patients at risk but overall, only performed 50% of the required assessments.

CONCLUSIONS

Although nurses safely managed patients' symptoms, nurses' adherence to the interventions was suboptimal and requires stronger leadership.

Role of CYP2C19 gene polymorphism in acute alcohol withdrawal treatment with loading dose of diazepam in a South Indian population

PURPOSE

Alcohol dependence is a public health problem worldwide, commonly associated with withdrawal symptoms for which diazepam is a frequently used drug. We studied the effect of CYP2C19 gene polymorphisms on diazepam loading dose requirement and time to reversal of acute alcohol withdrawal symptoms. We also studied the influence of the polymorphism in this gene on the persistent symptoms after loading dose of diazepam.

METHODS

Sixty-nine patients who reported to the psychiatry department with symptoms of alcohol withdrawal diagnosed by DSM-IV criteria were included for the study. A 10-mg loading dose of diazepam was administered iv after baseline assessment of withdrawal severity using CIWA-Ar scoring. The patients were assessed for improvement of the symptoms every two hourly and 20 mg oral diazepam was given based on improvement of symptoms. Genotyping for CYP2C19*2, CYP2C19*3 and CYP2C19*17 was done by PCR-RFLP and RT-PCR methods.

RESULTS

The diazepam dose requirement as well as the time required for reversal of acute symptoms was not statistically different among the different genotype groups. Similarly, the frequency of patients with persistent symptoms after successful treatment of the acute episode was not different among the groups. However, the total diazepam dose requirement was influenced by baseline CIWA-Ar scores (adjusted OR 0.21, p = 0.026). In addition, the odds of treatment with a lower dose (10 mg) of diazepam were higher in smokers (adjusted OR 5.22, p = 0.025) and patients with other addiction (adjusted OR 9.26, p = 0.026).

CONCLUSION

We found that CYP2C19 polymorphism did not have any significant effect on the diazepam dose requirement, time duration needed for successful treatment or on the persistent symptoms after loading dose of diazepam in South Indian population. However, diazepam dose requirement was influenced by baseline CIWA-Ar score, smoking status and other comorbid addictions.

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.

Differential patterns of serum brain-derived neurotrophic factor levels in alcoholic patients with and without delirium tremens during acute withdrawal

BACKGROUND

Brain-derived neurotrophic factor (BDNF) is associated with alcohol addiction and withdrawal-related neurotoxicity. Delirium tremens (DT) is the most serious complication of alcohol withdrawal syndrome (AWS). In this study, we explored the differences in serum BDNF levels, measured at baseline and 1 week after alcohol withdrawal among alcoholic patients with and without DT.

METHODS

Sixty-five inpatients, fulfilling the DSM-IV criteria of alcohol dependence and admitted for alcohol detoxification, as well as 39 healthy control subjects were enrolled. The alcoholic patients were divided by the appearance of DTs into the DT group (n = 25) and non-DT group (n = 40). We collected blood samples of the patient groups on the first and seventh days of alcohol withdrawal and measured serum BDNF levels by sandwich enzyme-linked immunosorbent assay.

RESULTS

Serum BDNF levels differed significantly among the three groups: (i) control group 14.8 ± 4.7 ng/ml; (ii) non-DT group 12.3 ± 3.3 ng/ml; (iii) DT group 6.2 ± 2.6 ng/ml (p < 0.001). One week after alcohol withdrawal, the BDNF levels increased significantly for both alcoholic groups. While non-DT group had comparable BDNF levels (13.4 ± 3.5 ng/ml) with controls, the DT group still exhibited lower levels (8.9 ± 4.4 ng/ml).

CONCLUSIONS

This study suggests chronic drinking leads to a reduction in BDNF levels, and patients with more deficient BDNF expression are vulnerable to the development of DTs. Additionally, BDNF levels elevated after prompt alcohol detoxification treatment. These findings indicate that BDNF could involve modifying the phenotypes of AWS as well as the pertinent neuroadaptive processes of alcohol dependence.