Prognostic Indicators of Alcoholism Treatment Outcome

Gibbs, Leonard; Flanagan, John N.

doi:10.3109/10826087709027273

Cited by 87 publications

(43 citation statements)

References 48 publications

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“…Although the effect of the patient's age on posttreatment abstinence has cantly different between the poly-drug abuse and pure alcohol group. No clear trend was noted in the response to been inconsistent in the alcoholism treatment literature, 30 in general younger patients are more prone to recidivism than psycho-social intervention between these two patient groups. The survival of the poly-drug dependent group was signifi-older patients following alcohol dependence treatment.…”

Section: Discussionmentioning

confidence: 82%

“…30 Conversely, a variety of studies using twin and adoptee cohorts, confirm a significant ance policy was predictive of posttransplantation abstinence. The positive effect that the presence of an active life insur-familial tendency for alcoholism based upon genetic and environmental factors.…”

Section: Discussionmentioning

confidence: 99%

“…The predictive value of the number of alcoholic sisters in our total creased social function appear to increase the tendency toward posttreatment abstinence. 30 cohort study (n Å 63) may be simply because of the marked familial tendency in the poly-drug abuser. 38 With the poly-A history of illicit drug use at anytime before transplantation was associated with a lapse in abstinence in the post-drug use group having an extremely high incidence of a lapse in alcohol abstinence, the predictive value of the number of transplantation period.…”

Section: Discussionmentioning

confidence: 99%

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Prediction of abstinence from ethanol in alcoholic recipients following liver transplantation

Foster¹,

Fabrega²,

Karademir³

et al. 1997

Hepatology

150

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End-stage liver disease secondary to alcoholic cirrhosis conThe prediction of abstinence from ethanol may be tinues to be a significant cause of death. 1 Most alcoholics with crucial to the optimal selection of liver transplantation end-stage liver disease do not have significant extrahepatic candidates with alcoholism. Of 84 consecutive end-stage complications of ethanol abuse. 2 Therefore, these patients are alcoholic patients who underwent transplantation not usually excluded because of other terminal medical condi-(1986-1994) at our institution, we analyzed 63 long-surtions, and many times will die shortly without transplantaviving recipients for pretransplantation variables to tion intervention. 2 Furthermore, excellent survival following predict posttransplantation abstinence (follow-up: 49.3 liver transplantation is noted with alcoholic recipients. [3][4][5][6][7][8][9][10][11] Be-{ 21 mo). Thirty-three pretransplantation variables cause these patients usually have liver disease solely because were reviewed from our transplantation data base and of the intake of a toxin (ie, ethanol), abstinence from this supplemented and confirmed with interviews with retoxin usually predicts minimal problems with liver disease cipients. The psycho-social inclusion criteria included following liver transplantation. The appropriate allocation of the following: patient recognition of alcoholism, a domiliver transplantation to specific alcoholic patients is made cile, an occupation, and at least one close personal relamore difficult by the large number of patients with end-stage tionship. The incidence of abstinence from ethanol was alcoholic cirrhosis and the intense demand for donor organs (50/63) 79%. A logistic regression of the 33 variables in for other end-stage liver diseases in which disease recurrence conjunction with our above inclusion criteria accurately may be less likely or more predictable. 12-14 Herein lies the predicted abstinence (90% accuracy, x 2 model, P õ problem that besets transplantation physicians: the appro-.00001) based on the absence of previous history of any priate selection of alcoholics with end-stage liver disease for illicit drug use (Drug Use: yes Å 1/no Å 0), the presence transplantation based on the prediction of long-term abstiof an active, personal life insurance policy (Life Ins: yes nence from alcohol. number of alcoholic sisters (ETOH-SIS), andThe aims of this study are to describe the following: 1) the the length of pretransplantation abstinence (PREresults of liver transplantation for patients with alcoholic TRANS-ABS, mos): Prob. of abstinence Å 1/1 / e 0F , F Å end-stage liver disease (survival, the incidence of abstinence, 00.33 / 0.89 (DRUG USE) 01.02 (LIFE INS) 01.68 (ETOHand pattern of recidivism); and 2) an analysis of pretrans-SIS) /0.24 (PRE-TRANS-ABS). In contrast, receiver-opplantation variables that may predict abstinence from alcohol erating characteristic curve analysis found that 7 and 9 following transplantation. months of pretransplantation abstinence were the be...

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Section: Discussionmentioning

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Prediction of abstinence from ethanol in alcoholic recipients following liver transplantation

Foster¹,

Fabrega²,

Karademir³

et al. 1997

Hepatology

150

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“…Schuckit, Schweei, and Gold, (1986) In summarizing 45 studies, using 208 predictor variables, Gibbs and Flannigan (1977) demonstrated that social class and occupation were successful predictors of a favorable outcome of treatment. Bromet, Moos, Wuthman and Bliss, (1977) studied the relationship between a patient's experience in treatment and characteristics of the patient.…”

Section: Review Of the Literaturementioning

confidence: 99%

Toward predicting completion of substance abuse treatment

Bragg¹

2000

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This investigation attempts to identify factors which influence whether or not someone is likely to drop out of a chemical dependency treatment program. Dropping out is defined as someone who leaves treatment against medical advice. 2The subjects were patients from a private, non-profit, medically based, residential program. Nine demographic characteristics were abstracted from the charts on file for the patients at the treatment center. Two groups of 45 patients each were selected from the inpatient population.One group, the Completed Treatment group, comprised patients who had completed the 28 day program. The second group, the AMA Discharge group, comprised patients who dropped out of treatment within the first 4 to 10 days. The demographic characteristics analyzed were gender, number of drugs used by the patient, drug preference, method of admission, treatment history, marital success, social status, dependents living at home, and education.A stepwise discriminant analysis using the SPSS-x statistical package was performed to select the best linear, weighted combination of variables which would produce the greatest discrimination between the two groups. The variables selected by the discriminant analysis were drug preference, treatment history, marital success, and social status. These four variables proved to be significant in accounting for the greatest proportion of total variance at a significance level of .0559.The discriminant function was used to classify the individual subjects according to their highest probability of membership into each group. By comparing actual and predicted group memberships, using the original sample, the validity of the discriminant function and discriminant Further research, studying the role of variables which represent the patient's interaction with the treatment program rather than variables which simply identify static characteristics of a subject, is needed to more fully identify how a treatment agency might facilitate treatment completion.

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“…Carefully controlled evaluations of treatment generally show less positive results. In fact, "positive findings are indirectly proportional to the amount of experimental control exercised" (Nichols et al, 1979, p. 68 Intelligence Scale (Gibbs & Flanagan, 1977), marital stability, level of education, and number of treatment attempts (Goldfried, 1969). The identification of job stability as a criterion for predicting treatment success 31 may account for the effectiveness of business/industry employee alcoholism programs, some of which claim recovery rates of 65%-75% (Lee, 1976).…”

Section: Dept Of Transportation May 1979) Problem Drinkersmentioning

confidence: 99%