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THE STAKE : 10 MIO POTENTIAL CUSTOMERS IN EUROPE
Population of Western Europe ± 325 Mio
Number of Number of withdrawals/ yearwithdrawals/ year (±4%)(±4%)
Number of alcoholNumber of alcoholdependent ± 10 Miodependent ± 10 Mio
Abstinent at 1 year (±18%)Abstinent at 1 year (±18%)
Abstinent Abstinent at 5 years (±6%)at 5 years (±6%)
STATES OF CHANGE - REVOLVING DOOR MODEL
(Di Clemente et Prochaska, 1982)
Précontemplation
Contemplation
PréparationAction
Maintenance
Relapse
Décision
TYPES OF CRAVING: DEFINITIONS
Psychological craving: Strong desire for drinking alcohol Strong, almost overpowering urge for alcohol during acute
withdrawal Strong desire or sense of compulsion to take alcohol (ICD-
10) Persistent desire or unsuccessful efforts to cut down or
control alcohol use (DSM-IV) Physical craving:
Elevated heart rate, Sweeting, Nausea, Anxiety
MANY STIMULI PRECEDE THE ARRIVAL OF ALCOHOL INSIDE THE BRAIN
BARSights and soundsof the environment
Smell of alcohol etc.
Taste of alcohol
Each cue initiates adaptation inside the brain
HOW CONDITIONED STIMULI BECOMESCUES FOR RELAPSE?
BAR
BAR
This is our patient, he/she hasbeen detoxified and has turnedhis/her back on alcohol and all theassociated stimuli.
Unfortunately, in our alcohol-based society it is impossible to avoid allthese stimuli for long.
HOW CONDITIONED STIMULI BECOME CUES FOR RELAPSE
BAR
BAR
Any of these stimuli induce adaptationwhich produces feelings opposite to those of alcohol eg anxiety, dysphoria.These feelings can be self-medicated withalcohol but the decision to do so intensifiesall the cues.
BAR
alcohol
In order to balance the increasingly severe "pseudo-withdrawal producedby the conditioned adaptation the patient relapses into heavy drinking
PAVLOVIAN CONDITIONING AND THE EFFECTS OF ALCOHOL
BAR Associatedstimuli
As the associatedstimuli repeatedlyprecede the arrivalof alcohol in the brain"conditioning" occurs
ALCOHOLUnconditioned
stimulus
BAR
Conditionedstimuli
BAR Once the stimuli havebecome conditioned theyelicit the response (eg feelings of relaxation) evenbefore the alcohol arrivesin the brain
ResponseBAR
EACH TIME THE ALCOHOL ARRIVES THE BRAIN INITIATES INCREASINGLY EFFECTIVE CHEMICAL ADAPTATIONS WHICH
OPPOSE THE DRUG AND CAUSE TOLERANCE
BAR BAR BAR BAR
BAR BAR
But every time the adaptation is preceded by the associated stimuli and so these become conditioned stimuli capable of eliciting the adaptation even before the alcohol arrives
ONE CONSEQUENCE ISTHAT TOLERANCE ISUSUALLY GREATER IN AFAMILIAR ENVIRONMENTBECAUSE THE "CUES"HELP INITIATE THEADAPTATION TO ALCOHOL INSIDE THEBRAIN
From: Heather (1995)
Source: Institute of Medicine (1990)
None
MildModerate
Substantial
Severe
Briefintervention
Primaryprevention
Specializedtreatment
ALCOHOL
PROBLEMS
RELATIONSHIP BETWEEN THE SEVERITY OF ALCOHOLPROBLEMS AND THE TYPE OF INTERVENTION NEEDED
Motivational interviewing
Cognitive - behaviour theory
Relapse prevention
Community reinforcement
EFFECTIVE PSYCHOLOGICAL TREATMENT FOR DRINKING PROBLEMS
% B
asel
ine
leve
l
0 1 2 3 4 5 6 7 8 9 10 11 12 13
Ref: De Witte Progress in Neurobiology. 2000, 343-362
Campral® AND GLUTAMATE
Time (hr) after withdrawal p < 0.001
WITHDRAWALM
oti
lity
/ R
at /
12h
0
500
1000
1500
2000
2500
Control Campral (400 mg/kg/day)Ref: De Witte
P < 0.05
ACAMPROSATE
No effect on non-alcohol-preferring and non-dependent animals
Abolishes the alcohol dependence in dependent animals
Abolishes the alcohol withdrawal
Keeps dependent animals alive during multiple successive withdrawals
Ref: De Witte presentation
MATERIAL
Combined Data Analysis
• 11 Double blind, placebo controlled multicentre studies
• 8 European countries
• 3 338 alcohol dependent patients
Mean Age 42.8 years ± 9.3Sex: female 19%Mean MAST score 31.8 ± 10.9Mean CAGE score 3.5 ± 0.76
METHODOLOGY 1
• Data of all 11 trials were reasonably comparable for criteria which included: demographic variables clinical histories the major efficacy outcome criteria
• Safety data were readily comparable for 9 studies
• Treatment Duration: 3 months in one trial, 6 months in 5 trials and 12 months in 5 trials
• Medication free follow-up periods varied from 4 weeks to 12 months
• Assessment intervals during treatment differedCommon data were identified at days 0, 30, 90, 180, 270, 360
METHODOLOGY 2
Comparability
• All placebo controlled trials, performed under naturalistic conditions
• Two treatment groups (acamprosate and placebo) in 9 trials; three treatment groups (two acamprosate groups at different dosages and one placebo group) in 2 trials. 4-6 tablets per day
• All patients were started on study medication after the period of acute detoxification: 10 trials immediately after acute withdrawal therapy, all patients
abstinent at start of treatment 1 trial within 6 weeks of termination of acute withdrawal therapy,
60% patients abstinent
METHODOLOGY 3
• To follow a CORE PROTOCOL± adaptations according countries’ requests
• Studies carried out in accordance with theEUROPEAN GOOD CLINICAL PRACTICE
• To use CENTRAL LABORATORY FACILITIES (PRAMA, UKMAS) or to standardise the laboratory values
• PRIMARY OUTCOME CRITERION: Drinking behaviour1- Abstinence/Relapse/Missing assessment at each visit2- Time to first relapse (survival analysis)3- Cumulative Abstinence Duration (a mathematical sum of all
abstinent periods)
OUTCOME CRITERIANumber of dry days: cumulative abstinence duration (CAD)Number of dry days: cumulative abstinence duration (CAD)
If exact data were available: cumulate directly
Time to First Relapse = 30 daysCumulative Abstinence Duration = 75 days
CAD
Relapses
Cumulative Abstinence Duration = 60 days
CAD
Relapses
If exact data were not available: consider total period between visits
D0 D30 D60 D90 D120 D150 D180
Visit 1 2 3 4 5 6 7
OUTCOME CRITERIA
• At each visit: drinking or not?• Time to first drink
D0 D30 D60 D90 D120 D150 D180
A A R R RA A
A = abstinence R = relapse
Alcoholconsumption(quantity)
Assessment visits
0
5
10
15
20
25
30
35
40
45
50
%/Y
ea
rs
females%
age
GENDER / AGE
EUROPEAN TRIALS: RATE OF TOTAL ABSTINENCE (%)
0
0,25
0,5
0,75
Placebo Acamprosate
2 way ANOVA - treatment: p<0.001, study: p<0.001, interact: NS
RESULTS: ABSTINENT RATE
100
54
3120
14 12
63
43
3125 22
100
0102030405060708090
100
0 30 60 150 270 360
Placebo Acamprosate
Days
Survival analysisSurvival analysis
%A
bs
tin
en
ce
ra
te(n
o a
lco
ho
l c
on
su
mp
tio
n)
It measures:• time to first relapse• absolute abstinenceComment: this method does not take subsequent abstinent periodsinto consideration, but is a conservative measure to assess outcome
%
Mantel Cox: p<0.001
RESULTS: PROPORTION OF ATTENDING PATIENTS
0102030405060708090
0 30 90 180 270 360
Acamprosate Placebo
Differential attrition between treatment groupsDifferential attrition between treatment groupsComment: drop-out rate in naturalistic trials could be an objectiveoutcome measure of efficacy
DaysAtt
end
ance
rat
e (%
)
*
* * *
RESULTS: ABSTINENCE RATE PER VISIT
0102030405060708090
100
0 30 90 120 150 180 210 240 270 300 330 360
Acamprosate Placebo
Days
Ab
stin
ence
rat
e (%
)
*
****
*: p<0,001
SF 36 QoL SCORES BEFORE AND AFTER CAMPRAL TREATMENT
0102030405060708090
100
PF BP RP GH MH SF RE VT HT
Before Treatment
After Campral®
Treatment
MHMental HealthSFSocial FuntioningRERole Emotional
VTVitalityHTHealth Transition
PFPhysical Functioning BPBodily painRPRole Physical
GHGeneral Health
Physical ComponentPhysical Component Mental ComponentMental Component
CONCLUSIONS FROM Campral® CLINICAL STUDIES
• Double the abstinence rates compared with placebo
• Used within a programme of psychosocial support, Campral® can significantly improve abstinence rates following alcohol withdrawal
• Campral® is equally effective with a range of psychosocial support strategies
RESULTS: ADVERSE EVENTS
Adverse events of statistical significance with a frequency of moreAdverse events of statistical significance with a frequency of morethan 5% were:than 5% were:
Gastro-intestinalirritation
Sex drive changes
Difficulty in fallingasleep
15% in the first 30 days, 8% d31-90
9% in the first30 days
7% between days181 and 270
3% more thanplacebo
3% more thanplacebo
4-8% more thanplacebo
GOOD SAFETY PROFILE
Campral®: A MAJOR ADVANCE IN THE TREATMENT OF CHRONIC ALCOHOLISM
• A novel and unique non-aversive therapeutic agent
• Abstinence rates twice that with placebo achieved when used in conjunction with psycho-social support measures
• Good tolerability established
• No significant dependence potential
CAD
248 Patients
28 weeks Campral treatment for all patients
(4-6 tablets / day)
3 Treatment Groups with different levels of
counselling
Manual driven
Session recordings
MICADO STUDY (Netherlands)De Wildt et al (submitted for publication)
MICADO STUDY (Netherlands)De Wildt et al
3 Treatment Groups
a) Campral only:• 6 weekly min medical visits. Collect drinking data, evaluate vital signs• no reinforcement, motivation, high risk situation discussions.
– b) Campral with Minimal Intervention (MI) a plus:• 3 x 20 min weekly visits (W 2, 3, 4)
– discuss cost benefit drinking– discuss drinking situations– review motivation
– c) Campral with Brief Psycho-Social Intervention (PSI) a plus:• 7 x 60 min weekly visits (W 2, 3, 4, 5, 6, 7, 8)• Increase coping skills (Monti, Abrams et al 89, MATCH-Kadden 92,
Schippers 94)• significant other, good and bad moments, problem solving, cognitive
restructuring
MICADO STUDY (Netherlands)De Wildt et al
0
10
20
30
40
50
60
70
A A + MI A + PSI
AbstinenceRelapseMissing
CONCLUSIONS
14 out of 17 studies confirmed that acamprosate reduces relapse in alcohol dependence.
Treatment over 12 months suggests continued abstinence after termination of medication.
Adverse events are rare and minor.
Early evidence suggests that acamprosate without particular psycho-social support may be as effective as acamprosate combined with minimal or brief intervention. Further investigation is necessary.
ACAMPROSATE AND QUALITY OF LIFE
HRQoL secondary analysis of the European NEAT ProgrammeSynthesis from 5 countries: Austria, Belgium, Portugal,Switzerland and the United Kingdom
F. Poldrugo, Department of Psychiatry, University of Trieste, ItalyP. Lehert, Catholic University of Mons, Belgium
Main Investigators:C. Ansoms, F. Fisher, W.J. Fuchs, M. Morgan, I. Pelc and A.J. Pires Preto
Study design Primary objectives:
– Comparison of the efficacy of acamprosate with or without a – follow-up by a social nurse after detoxification
Study design:
– The patients were hospitalized for 3 weeks and randomized to one of the 2 treatment groups
• Group 1: The patient sees his/her GP whenever necessary. However, the follow-up is monitored by a nurse
• Group 2: The patient is seen by his/her GP
Treatment duration: – 26 weeks
CAPRISO STUDY
Methods (1)
Prospective evaluation during a 26 weeks follow-up period of alcoholic patients, after detoxification
Two randomized parallel groups with follow-up by a social nurse (F group, N = 50) or without follow-up (NF group, N = 50)
Evaluation visit at week 1, 2, 3, 4, 6, 10, 14, 18, 22, 26
Outpatient from week 4
Acamprosate for all patients
CAPRISO STUDY
Methods (2) Evaluation of efficacy:
For every visit, the patient is considered as abstainer, relapser or missing.Missing = relapser
Outcome criteria: Main endpoint: CAD (sum of complete abstinent days) * Second endpoints: CGI and compliance
Statistical analysis: Anova on ranks Explanatory analysis: GLM on ranksA priori Power: n = 2*50 / =.05 =.2 = 25% 2 - sided
CAPRISO STUDY
Population (N = 100) - Exclusion Criteria
Other dependencies except nicotine
An expected longer hospital stay more than 3 weeks for detoxification
Known renal insufficiency
Previous treatment with acamprosate
Having participated in another study in the last 30 days
Pregnancy or breast feeding in women of childbearing age
Legal incapacity
CAPRISO STUDY
Population (N = 100) - Inclusion Criteria
Men and women from 18 to 65 years old
DSM-IV criteria for alcohol dependence
Last alcohol consumption within the previous 7 days
Undergoing an inpatient detoxification planned for 3 weeks
Living in the region of Brussels
Having given written informed consent
CAPRISO STUDY
Baseline data per type of follow up
N.F: 50 patients F: 50 patients P
Age 43.5 8.8 43.1 7.2 NS
Gender F (%) 26.0 18.0 NS
DSM IV score 6.1 0.9 6.3 0.9 NS
Number of drinks per day 20.4 13.6 17.8 8.6 NS
Number of previous withdrawal 0.4 0.5 0.3 0.4 NS
Years of alcohol dependence 13.1 9.2 15.2 10.1 NS
Dose of Campral 6t/day (%) 76.0 84.0 NS
CAPRISO STUDY
Employed Jobless Retired or Sick
28 45 27
No Secondary University
32 44 24
Single Married Divorced Widowed
37 18 40 5
Population (N = 100) - Demographic DataAge (years) 43.3 8.2
Gender female (%) 22
Marital status (%)
Education status (%)
Family history (%) 63
Smoking (%) 82
Employement (%)
CAPRISO STUDY
Initial Severity
Living status
Smoking habits
Drinking pattern
Number of previous withdrawal
Influence of baseline variables on CAD % Cont’d
No evident effect observed with
CAPRISO STUDY
No FU FU
Markedimprovement
7 11
Slightimprovement
4 14
No change 11 13
Slightly worse 25 11
Much worse 3 1
Clinical Global Impression
2: p = 0.011
CAPRISO STUDY
Conclusion1. Significant differences in outcomes between the 2 treatment
conditions showing a strong influence of social nurse intervention during psycho-social follow-up
2. Success rate of the pharmacological active treatment (Acamprosate, I. Pelc, 1992) is positively or negatively influenced by a psycho-social support process
3. Significant influence of Age, Education, Marital status, Family History, Gender and Previous Attendance to SHG on CAD
4. No significant influence of Smoking, Drinking Pattern, Living Status, Number of Previous Detoxification and Initial Severity
5. Providing psycho-social support has to be relevant to patient’s specific needs
CAPRISO STUDY
I. PELC, M.D., Ph.D.Collaborators
P. Verbanck M.D, Ph. D.O. Le BON M.D. PsychiatristsC. Hanak M.D.J. Tecco M.D.
A. Vandenborre Chief NurseD. Montag, S. Minet Social WorkersM. Streel, X. Noël B.Sc. Psychologists
C. Houtain, I. Baert Social Nurse Researchers Université Libre de BruxellesClinical Department and Laboratory of Psychological Medecine, Alcohology and Drug Dependence
and General Practitioners of the Brussels’ Region
Dr F. Deckers Merck - Lipha - BruxellesDr F. Landron Merck - Lipha - LyonProf. P. Lehert University of Mons (Belgium) and
University of Melbourne (Australia) - Statistical Analysis
CAPRISO STUDY