The detoxification experience of alcoholic in-patients and predictors of outcome

Elmdene Research Unit, Bexley Hospital, Kent, UK.
Alcohol and Alcoholism (Impact Factor: 2.89). 05/1998; 33(3):291-303. DOI: 10.1093/oxfordjournals.alcalc.a008393
Source: PubMed


This paper reports the detoxification experience and outcome at 6 months and 1 year following detoxification from alcohol in 160 patients admitted to a south-east London in-patient detoxification unit. Patients' socio-demographic characteristics are also described. The sample was predominantly middle-aged, mainly male, and highly dependent on alcohol. Subjects had been drinking heavily for many years and suffered physical and social complications in consequence. The rate of convulsions was 3.1% and of delirium tremens 1.25%. The details of the level of drug usage during detoxification and the assessment of severity of the withdrawal syndrome are also reported. The severity of the withdrawal syndrome and the incidence of significant complications of withdrawal were higher in those with a previous history of four or more episodes of detoxification, a previous history of withdrawal fits or evidence of high levels of tolerance and dependence assessed either by the Severity of Alcohol Dependence Questionnaire (SADQ) or by drinking on a typical heavy drinking day in excess of 24 U of alcohol. It is suggested that subjects with one or more of these attributes should be treated on an in-patient, rather than an out-patient, basis unless adequate support and monitoring systems are in place. Overall, patients made improvements on a wide range of social and psychological variables, but the 'abstinent' and 'controlled drinking' groups made significantly higher improvements on all variables in both follow-up periods. When patients improved their drinking status and reduced the levels of drink-related physical and social complications, in both time periods, their use of social and health resources decreased significantly. Living circumstances at intake were predictive of drinking status at both follow-up stages. The amount drunk on a heavy drinking day, at both follow-up stages, was predicted by severity of withdrawal, SADQ and living circumstances at intake in that order of importance.

Download full-text


Available from: Allan DAVID Thomson, Oct 04, 2015
13 Reads
  • Source
    • "Others have demonstrated that the frequency of intoxicating drinking was significantly associated with the frequency of blackouts (Poikolainen, 1982). Multiple studies have found that the severity of alcohol dependence predicts the severity of withdrawal symptoms (Chang & Steinberg, 2001; Shaw et al., 1998). A study of young university students found that those with a history of blackouts began drinking at an earlier age (p < 0.005), consumed alcohol more frequently (p < 0.005) and in a greater quantity (p < 0.001) than those without a history of blackouts (Anthenelli, Klein, Tsuang, Smith, & Schuckit, 1994). "
    [Show abstract] [Hide abstract]
    ABSTRACT: 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 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 moderate to severe AWS. For the Pilot Study 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 moderate to severe 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 moderate to severe 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 moderate to severe 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 moderate to severe AWS, allowing for prophylaxis against AWS before severe alcohol withdrawal syndromes develop.
    Alcohol (Fayetteville, N.Y.) 06/2014; 48(4). DOI:10.1016/j.alcohol.2014.01.004 · 2.01 Impact Factor
    • "The CIRS-SA includes tobacco smoking as a medical comorbidity in the respiratory category, and the prevalence of tobacco smokers in this cohort was 86.5% (data not shown). It should be noted that the frequency of tobacco smoking in patients with alcohol use disorders is extremely high (Gual et al., 2009; Hurt et al., 1996; Lahmek et al., 2009; Shaw et al., 1998). "
    [Show abstract] [Hide abstract]
    ABSTRACT: The association between alcohol use disorders and increased risk of mortality is well known; however, there have been few systematic evaluations of alcohol-related organ damage and its impact on survival in younger alcoholics. Therefore, we assessed medical comorbidity with a clinical index to identify subgroups of alcoholic patients at high risk of premature death. Hospital-based cohort of alcohol-dependent patients admitted for detoxification between 1999 and 2008 in Barcelona, Spain. At admission, sociodemographic characteristics and a history of alcohol dependence and abuse of illegal drugs were obtained through clinical interviews and questionnaires. Medical comorbidity was assessed with the Cumulative Illness Rating Scale (Substance Abuse) (CIRS-SA). Dates and causes of death were obtained from clinical records and death registers. Survival was analyzed using Kaplan-Meier methods, and Cox regression models were used to analyze the risk factors for premature death. Median age of the patients (686 total, 79.7% men) was 43.5 years (interquartile range [IQR], 37.8 to 50.4), average alcohol consumption was 200 g/d (IQR, 120 to 280 g/d), and duration of alcohol use disorder was 18 years (IQR, 11 to 24). Medical comorbidity by CIRS-SA at admission showed that the organs/systems most affected were liver (99%), respiratory (86%), and cardiovascular (58%). After median follow-up of 3.1 years (IQR, 1.5 to 5.1), 78 (11.4%) patients died with a mortality rate of 3.28 × 100 person-years; according to Kaplan-Meier estimates, 50% (95% confidence interval [95% CI], 24 to 69%) of patients with severe medical comorbidity died in the first decade after treatment. In multivariate analysis, severe medical comorbidity (hazard ratio [HR], 5.5; 95% CI, 3.02 to 10.07) and being treated with methadone at admission (HR, 2.60; 95% CI, 1.50 to 4.51) were independent risk factors for premature death. Systematic assessment of alcohol-related organ damage is relevant for the identification and treatment of those at increased risk of death.
    Alcoholism Clinical and Experimental Research 01/2013; 37 Suppl 1(suppl 1):E221-7. DOI:10.1111/j.1530-0277.2012.01861.x · 3.21 Impact Factor
  • Source
    • "r predictive factors were found in our study . As the predictive factors for reducing relapse for AD subjects have been rela - tively controversial among previous studies ( Begue and Roche , 2009 ; Farid and Clarke , 1992 ; Farren and McElroy , 2010 ; Garbutt , 2010 ; Morley et al . , 2010 ; Namkoong et al . , 2003 ; Ornstein and Cherepon , 1985 ; Shaw et al . , 1998 ; Terra et al . , 2008 ) , some previous findings may differ from those in our study . Our study had a number of strengths . First , all subjects were of a homogeneous ethnicity , that is , Korean . Most previ - ous studies for treatments and predictive factors in AD have been conducted with a mixture of different ethnicities . Conse - "
    [Show abstract] [Hide abstract]
    ABSTRACT: Group psychotherapy (PT) is one of the most common interventions used to treat alcohol dependence (AD), and it is assumed to be effective. Despite its common clinical use, long-term trials that have been conducted to examine the efficacy of group PT in the treatment of outpatients with AD are limited and often lack appropriate comparisons. On that basis, a long-term comparative trial was performed with the main objective of evaluating the effectiveness of continuing group PT for outpatients with AD. Quasi-experimental trial was conducted from January 2004 to May 2010 in 177 AD subjects who had completed an inpatient 10-week alcohol treatment program. Abstinence rates of the combined group (experimental group: outpatient individual PT plus group PT, N = 94) and the standard outpatient individual PT-only group (comparison group, N = 83) were statistically compared using Kaplan-Meier survival analysis. Predictive factors of abstinence rate for alcohol were assessed using Cox regression analysis. Abstinence rates of the combined PT group were significantly high relative to those of the outpatient individual PT-only group. Significant predictive factors for the alcohol abstinence rate were outpatient group PT and age. Even after controlling for confounding factors, outpatient group PT was a significant predictive factor for the alcohol abstinence rate. Our findings indicate that for AD patients who had completed an inpatient 10-week alcohol treatment, outpatient group PT appears to be an effective form of continuing care or aftercare within the context of an outpatient service delivery system.
    Alcoholism Clinical and Experimental Research 09/2011; 36(4):686-92. DOI:10.1111/j.1530-0277.2011.01643.x · 3.21 Impact Factor
Show more