Delirium Tremens in the Older Adult.

INTRODUCTION: Caring for patients experiencing alcohol withdrawal syndrome can be challenging. Patients 65 and older are at increased risk for alcohol withdrawal syndrome related complications. The higher prevalence of co-morbidities, including cognitive impairment, longer drinking history and greater sensitivity to alcohol withdrawal syndrome treatment are the result of decreased ability of the brain to adapt to stressors such as illness, trauma, or surgery. DELIRIUM TREMENS: Symptoms may appear earlier from the last drink and present with a wide range of symptoms. The most effective interventions require high-quality nursing care delivery to prevent, decrease the severity and shorten the duration of delirium. NURSING IMPLICATIONS: Strategies that help minimize these challenges starts with obtaining the patient's selfreport of their alcohol use history. Nurses should be diligent in their monitoring for signs of active alcohol withdrawal. Screening and assessment tools such as the Clinical Institute Withdrawal Assessment for Alcohol-Revised should guide pharmacological management. To support nurses in identifying delirium tremens, this manuscript seek to describe the underlying pathophysiology, key assessment components and nursing management of delirium tremens in the older adult.

Embracing a Nurse-Driven Alcohol Withdrawal Protocol Through Quality Improvement.

BACKGROUND: Alcohol withdrawal can lead to severe complications including seizures, delirium tremens, and death if not treated appropriately. Nurses are critical to the safety and outcomes of these patients. OBJECTIVE: The objective of this retrospective study was to determine if nursing education on a community hospital's alcohol withdrawal protocol led to improved nursing compliance. METHODS: This is a quality improvement project involving a two-part retrospective review-an initial needs assessment followed by nursing education and a subsequent posteducation retrospective review. The initial needs assessment included 65 patients. The subsequent posteducation group included 50 patients. RESULTS: Nursing compliance of 1-hour assessments increased after the educational intervention; however, there was no statistically significant difference in 6-hour assessment or medication administration protocol compliance between preeducation and posteducation groups. CONCLUSION: Nursing education is a good place to start in improving compliance with an alcohol withdrawal protocol, but physicians need to be included to increase standardization within the institution. Future study should look at the effectiveness of different assessment frequency intervals and its impact on patient-centered outcomes.

Predictive value of the bispectral index for burst suppression on diagnostic electroencephalogram during drug-induced coma.

STUDY PURPOSE: To determine correlation and predictive value between data obtained with the bispectral index (BIS) and diagnostic electroencephalogram (EEG) in determining degree of burst suppression during drug-induced coma. This study seeks to answer the question: "To what degree can EEG suppression and burst count as measured by diagnostic EEG during drug-induced coma be predicted from data obtained from the BIS such as BIS value, suppression ratio (SR), and burst count?" BACKGROUND/SIGNIFICANCE: During drug-induced coma, cortical EEG is the gold standard for real-time monitoring and drug titration. Diagnostic EEG is, from setup through data analysis, labor intensive, costly, and difficult to maintain uniform clinician competency. BIS monitoring is less expensive, less labor-intensive, and easier to interpret data and establish/maintain competency. Validating BIS data versus diagnostic EEG facilitates effective brain monitoring during drug-induced coma at lower cost with similar outcomes. METHOD: This is a prospective, observational cohort study. Four consecutive patients receiving drug-induced coma/EEG monitoring were enrolled. BIS was initiated after informed consent. Variables recorded per minute included presence or absence of EEG burst suppression, burst count, BIS value over time, burst count, and SR. Pearson's product-moment and Spearman rank coefficient for BIS value and SR versus burst count were performed. Regression analysis was utilized to plot BIS values versus bursts/minute on EEG as well as SR versus burst count on EEG. EEG/BIS data were collected from digital data files and transcribed onto data sheets for corresponding time indices. RESULTS: Four patients yielded 1,972 data sets over 33 hours of EEG/BIS monitoring. Regression coefficient of 0.6673 shows robust predictive value between EEG burst count and BIS SR. Spearman rank coefficient of -0.8727 indicates strong inverse correlation between EEG burst count and BIS SR. Pearson's correlation coefficient between EEG versus BIS burst count was .8256 indicating strong positive correlation. Spearman's rank coefficient of 0.8810 and Pearson's correlation coefficient of .6819 showed strong correlation between BIS value versus EEG burst count. Number of patients (4) limits available statistics and ability to generalize results. Graphs and statistics show strong correlation/predictive value for BIS parameters to EEG suppression. CONCLUSIONS: This study is the first to measure correlation and predictive value between BIS monitoring and diagnostic EEG for degree of EEG suppression and burst count in the adult population. Available statistic tests and graphing of variables from BIS and diagnostic EEG show strong correlation and predictive value between both monitoring technologies during drug-induced coma. These support using BIS value, SR, and burst count to predict degree of EEG suppression in real time for titrating metabolic suppression therapy.

Symptom-triggered therapy for alcohol withdrawal syndrome in medical inpatients.

OBJECTIVE: To assess the efficacy of symptom-triggered therapy vs usual care for alcohol withdrawal syndrome (AWS) in medical inpatients. PATIENTS AND METHODS: This study was a retrospective analysis of patients admitted to general medical services between January 1, 1995, and December 31, 1998, who experienced AWS during the admission. This study was conducted at Saint Marys Hospital, Rochester, Minn. Patients were identified from hospital discharge diagnoses and pharmacy data. Symptom-triggered therapy for AWS was initiated in 1997. Patients were divided into preimplementation (1995-1996) and postimplementation (1997-1998) cohorts. Age, sex, medical comorbid conditions, previous AWS (including seizures and delirium tremens), duration of treatment for AWS, benzodiazepine use and dose, complications of AWS, and adverse outcomes of treatment during the incident admission were abstracted from the medical records of eligible patients. Comorbid conditions were classified according to the Charlson comorbidity index. Differences between the cohorts were assessed with use of logistic regression models and analysis of covariance. RESULTS: Review of medical records from 638 admissions (536 patients) yielded 216 admissions eligible for this study. After adjustment for age, sex, Charlson comorbidity index, previous AWS, previous alcohol withdrawal seizures, and previous delirium tremens, we found no significant difference between cohorts for duration of treatment (P=.16), benzodiazepine use (P=.21), total dose of benzodiazepine (P=.38), or total complication rate (P=.053). We did observe a significant difference in the occurrence of delirium tremens between the 2 treatment groups (P=.04). This was especially apparent for patients with no history of delirium tremens. CONCLUSIONS: Symptom-triggered therapy is effective treatment for AWS in medical inpatients. In this retrospective study, it did not result in shorter duration of treatment but was associated with a decreased occurrence of delirium tremens, the most severe and life-threatening complication of AWS. This result was most apparent in patients with no history of delirium tremens.