[Alcohol and epilepsy: a case report between alcohol withdrawal seizures and neuroborreliosis]

Late-stage borreliosis and substance abuse

Background

Infectious diseases can contribute to substance abuse. Here, a fatal case of borreliosis and substance abuse is reported. This patient had a history of multiple tick bites and increasing multisystem symptoms, yet diagnosis and treatment were delayed. He experimented with multiple substances including phencyclidine (PCP), an N-methyl-d-aspartate (NMDA) receptor antagonist that opposes NMDA agonism caused by Borrelia infection. During PCP withdrawal, he committed one homicide, two assaults, and suicide.

Methods

Brain tissue was obtained from autopsy and stained for microglial activation and quinolinic acid (QA). Immunoflouresence (IFA) and fluorescence in situ hybridization (FISH) were used to identify the presence of pathogens in autopsy tissue.

Results

Autopsy tissue evaluation demonstrated Borrelia in the pancreas by IFA and heart by IFA and FISH. Activated microglia and QA were found in the brain, indicating neuroinflammation. It is postulated that PCP withdrawal may exacerbate symptoms produced by Borrelia-induced biochemical imbalances in the brain. This combination may have greatly increased his acute homicidal and suicidal risk. Patient databases also demonstrated the risk of homicide or suicide in patients diagnosed with borreliosis and confirmed multiple symptoms in these patients, including chronic pain, anxiety, and anhedonia.

Conclusions

Late-stage borreliosis is associated with multiple symptoms that may contribute to an increased risk of substance abuse and addictive disorders. More effective diagnosis and treatment of borreliosis, and attention to substance abuse potential may help reduce associated morbidity and mortality in patients with borreliosis, particularly in endemic areas.

Neuropsychiatric Lyme Borreliosis: An Overview with a Focus on a Specialty Psychiatrist's Clinical Practice

There is increasing evidence and recognition that Lyme borreliosis (LB) causes mental symptoms. This article draws from databases, search engines and clinical experience to review current information on LB. LB causes immune and metabolic effects that result in a gradually developing spectrum of neuropsychiatric symptoms, usually presenting with significant comorbidity which may include developmental disorders, autism spectrum disorders, schizoaffective disorders, bipolar disorder, depression, anxiety disorders (panic disorder, social anxiety disorder, generalized anxiety disorder, posttraumatic stress disorder, intrusive symptoms), eating disorders, decreased libido, sleep disorders, addiction, opioid addiction, cognitive impairments, dementia, seizure disorders, suicide, violence, anhedonia, depersonalization, dissociative episodes, derealization and other impairments. Screening assessment followed by a thorough history, comprehensive psychiatric clinical exam, review of systems, mental status exam, neurological exam and physical exam relevant to the patient's complaints and findings with clinical judgment, pattern recognition and knowledgeable interpretation of laboratory findings facilitates diagnosis. Psychotropics and antibiotics may help improve functioning and prevent further disease progression. Awareness of the association between LB and neuropsychiatric impairments and studies of their prevalence in neuropsychiatric conditions can improve understanding of the causes of mental illness and violence and result in more effective prevention, diagnosis and treatment.

Prevalence of alcohol use disorders and associated factors among people with epilepsy attending Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia

INTRODUCTION

Alcohol use disorders represent one of the leading causes of preventable death, illness, and injury in many societies throughout the world. Heavy alcohol consumption has multiple negative consequences for people with epilepsy such as precipitation of seizure, exacerbation of seizure, poor seizure control, increased side effects of antiepileptic drugs, noncompliance to antiepileptic drugs, alcohol withdrawal seizures, long-term hospital admission, status epilepticus, sudden unexpected death, and premature mortality.

METHODS

An institution-based cross sectional study was conducted from April 15, 2014 to May 15, 2014 with the aim of assessing prevalence of alcohol use disorders and associated factors among people with epilepsy attending Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia. A total of 413 randomly selected epileptic patients were included in this study. Data were structured using the 10-item Alcohol Use Disorders Identification questionnaire. Data were analyzed using SPSS Version 20. Bivariate and multivariate logistic regression analyses were performed to study the association, and variables with P-value <0.05 were considered as having a statistically significant association at 95% confidence interval.

RESULTS

A total of 423 study participants were selected, of whom 413 completely filled the questionnaire making the response rate 97.6%. The mean age of the respondents was 31.9 years with standard deviation of ±10.97, and 248 (60%) were males. The prevalence of alcohol use disorder was 17.4%. Educational status (grade 9-12) (adjusted odds ratio [AOR] =3.25, [1.21, 8.69]), not living with family members (AOR =1.89, [1.06, 3.39]), availability of house (AOR =2.04, [1.10, 3.78]), taking carbamazepine (AOR =2.38, [1.13, 5.01]), and drinking alcohol to find relief from stress (AOR =4.28, [1.89, 9.67]) were significantly associated with alcohol use disorder among people with epilepsy.

CONCLUSION AND RECOMMENDATION

The findings of this study revealed that the prevalence of alcohol use disorder among people with epilepsy was high. Routine screening of epileptic patients with the Alcohol Use Disorders Identification Test is recommended.

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.