Abstract
Treatment of chronic hepatitis C infection (HCV+) has historically been shown to be less effective in patients with a heavy drinking history. The effect of moderate and heavy alcohol use on treatment with pegylated interferon alpha and ribavirin (P/R) in an insured household population has not been previously reported. We investigated the effect of alcohol on treatment outcome in a cohort of 421 treatment naïve HCV+ patients, members of an integrated health care plan treated with P/R between January 2002 and June 2008. A detailed drinking history was obtained for 259 (61.5%) eligible patients. Regular drinking was reported by 93.1% of patients prior to HCV diagnosis, by 30.9% between HCV diagnosis and treatment, by 1.9% during treatment, and 11.6% after the end of treatment. Heavy drinking patterns were reported by 67.9%; 63.5% of patients drank more than 100 kg of ethanol prior to initiating HCV treatment; and 29.3% reported abstaining less than the required six months prior to treatment. Despite these reports of heavy drinking, SVRs were obtained in 80.2% of patients with HCV genotype 2/3 and 45.1% of patients with genotype 1/4/6. Pretreatment drinking patterns and total alcohol intake were both unrelated to SVR rates. Abstaining less than six months prior to treatment was related to lower SVR rates in moderate, but not heavy drinkers. HCV treatment relapse was unrelated to drinking after treatment ended.
Conclusion
The amount of alcohol consumed prior to HCV treatment did not have a negative impact on treatment outcomes in our population. A history of heavy drinking should not be considered a deterrent to HCV treatment in members of an integrated health care plan who are closely monitored.
Keywords: Alcohol drinking history, pegylated interferon alpha and ribavirin, retrospective cohort study
HCV (hepatitis c virus) is the most common blood-borne infection in the United States. Based on national sero-prevalence data, it is estimated that over 3 million of the non-institutionalized United States population are chronically infected with HCV (1). HCV incidence rates were at their highest from 1970 to 1990, creating a cohort of chronically infected individuals that threaten to produce an epidemic of HCV-related disease (2). A multiple cohort model has been developed to predict the impact of HCV+ (chronic hepatitis c infection) on public health (3). The model takes into consideration known differences in disease progression related to sex and age at infection. It predicts that 24.8% of the cohort infected between 1970 and 1990 will have cirrhosis by 2010, and 44.9% will progress to cirrhosis by 2030. Eleven percent of cirrhotics currently have hepatic decompensation, and this proportion will increase through 2030. The incidence of HCV-related hepatocellular carcinoma is increasing and is forecast to peak in 2019 (3). The impact of these projections is already becoming evident. HCV-related ambulatory care visits more than doubled between 1997–1999 and 2003–2005 (4). Complications related to HCV are already the leading cause for liver transplants, and this demand is expected to increase, exacerbating the current shortage of available organs (5). The incidence of hepatocellular carcinoma, much of which is caused by HCV, tripled between 1975 and 2005 (6), and HCV-related mortality increased 123% between 1995 and 2004 (7)..
Treatment has the potential to greatly reduce the public health impact of this epidemic. In 2010, it was estimated that based on current treatment practices (i.e., HCV+ was diagnosed in 30% of cases; 25% were treated; and 40% responded to treatment) only one percent of cirrhosis cases would be prevented (3). Since then more effective antiviral therapies have been approved, but more patients need to be diagnosed and treated to fully realize the potential of HCV treatment to reduce HCV-related disease. In this paper we focus on barriers to treatment, specifically findings that patients with a history of alcohol abuse are less likely to be treated (8), and that patients who reported any drinking in the 12 months prior to treatment were less likely to respond to treatment (9). The issue of how to manage HCV in patients with a history of moderate to heavy drinking is a critical one because many patients with HCV have such a history. A national seroprevalence survey found that 48% of HCV+ participants had had 5 or more drinks in a single day during the previous year, and 33% had done so on at least 50 days (1).
This study extends previous research in three ways. One, it was conducted in a representative cohort of privately insured members of an integrated health care plan. HCV treatment outcomes have been understudied in insured patients despite the fact that they represent a large portion of the infected population, and they are likely to have access to resources needed to obtain treatment. Two, it contributes to the limited information available on the relation of alcohol consumption to outcomes of treatment with pegylated interferon alpha and ribavirin (P/R). Three, and most significantly, it is based on an in-depth assessment of lifetime drinking patterns, as they relate to the length of abstinence prior to initiation of antiviral therapy and four critical periods: 1) prior to HCV diagnosis; 2) from HCV diagnosis to initiation of antiviral therapy; 3) during HCV treatment; and 4) the six-month period after the end of treatment. Specific goals were: 1) to determine the impact of alcohol intake prior to HCV treatment on treatment completion and outcomes; 2) to investigate the relation of pretreatment abstinence to treatment outcomes, particularly in moderate drinkers; and 3) to examine the association between drinking after treatment and sustained viral response (SVR) in patients who obtained an end-of-treatment response (ETR).
MATERIALS and METHODS
Patients were members of an integrated health care system in Northern California with HCV+, naïve to previous treatment with interferon based antiviral therapy, who initiated treatment with P/R between January 2002 and June 2008. HCV treatment was headed by a HCV RN and a Hepatologist with back up from all subspecialties including psychiatry, chemical dependency (CD), and internal medicine. Policy was to require a 6-month period of abstinence prior to treatment, and all patients referred for treatment were screened for alcohol and drug abuse. Those with active substance abuse were referred to the Chemical Dependency Recovery Program for rehabilitation and clearance before treatment.
Procedures
Patients were identified by searching electronic pharmacy records between January 2002 and June 2008 for initial ribavirin prescriptions. Their primary care physicians were sent a description of the study and asked if any of the identified patients should be excluded because they were too ill, did not speak English, were cognitively impaired, or otherwise thought to be ineligible. Eligible patients were sent a letter inviting them to participate in the study. It explained the purpose of the study; its requirements (i.e., a 90-minute interview covering sensitive material, including questions on alcohol and drug use, and extraction of data from patients’ electronic and paper medical records); its voluntary nature; and the complete confidentiality of all information provided. Participants were offered a subject fee of $75 to compensate them for their time and travel expenses. A telephone number was provided to schedule an interview appointment, or to request removal from the list of eligible participants. Patients were given time to respond and then telephoned by our project manager who offered to answer any questions patients had about the study and to schedule an interview appointment. Prior to the interview patients were sent a Lifetime Event Calendar (LEC) and asked to use it to record ages at which significant events occurred in their lives and bring it to the interview. The interview site was miles from their HCV treatment site. The interviewer obtained a signed informed consent and reviewed the LEC prior to administering the interview. This study was approved by Institutional Review Boards at the Kaiser Permanente Sacramento Health Care Center and the Pacific Institute for Research & Evaluation.
Sample
Of 2315 patients with HCV+, 608 (27.2%) initiated treatment with P/R from January, 2002 to June, 2008, and 421 were eligible for the present study. Reasons for exclusion included the following: not treatment naïve (n=62), no longer members of the health care plan (n=61), died (n=35), post-transplant (n=20), co-infected with HBV or HIV (n=4), primary care physicians’ recommendation (n=3), not English-speaking (n=1), or too ill (n=1). Data for three additional patients were lost due to a computer failure; 95 (22.6%) refused, and we were unable to contact 67 (15.9%). Interviews were completed with 259 (61.5%) of the eligible patients.
Interview
Lifetime drinking patterns were assessed retrospectively using a computer-assessed personal interview with good test-retest reliability, the Cognitive Lifetime Drinking History (CLDH) developed by Russell and colleagues (10) to improve recall in studies relating alcohol consumption to chronic disease. The CLDH was administered to patients who had at least 12 drinks during a 12-month period and reported drinking regularly at some point in their lifetimes (e.g., at least one drink a month for six months). Patients were encouraged to use the LEC during the interview to help them recall their activities during different periods of their life and whether drinking was associated with these activities. Recall was also stimulated by letting patients use a comprehensive list of alcoholic beverages to identify all the different types they had drunk. We used models of beverage containers to help patients define their usual drink size for each beverage. Computer programming enabled the interview to be tailored to each respondent's drinking history, so that only relevant questions were asked (e.g., patients who only drink beer weren't asked about wine and liquor). Questions on usual drink size spare patients the mental arithmetic required to translate their consumption into arbitrarily defined standard drink sizes and the potential embarrassment of admitting their usual drink size is much bigger than the standard.
Intervals of life during which drinking patterns were either relatively homogeneous, or respondents did not drink regularly were defined by asking patients when they began to drink regularly, when their drinking changed, whether they continued to drink regularly after it changed, and, if not, whether they ever started drinking regularly again. Drinking patterns were assessed for each of the defined intervals. For intervals during which respondents drank weekly or more often, patterns were assessed by asking how often respondents drank on Fridays during a typical month during the interval and how many drinks they usually had when they drank on a Friday during that interval. These quantity-frequency (QF) questions were repeated for Saturdays, Sundays, week-days, and days when patients drank more than usual. For intervals during which respondents drank less often than weekly, they were simply asked about usual drinking quantity and frequency. Also assessed for each interval were the proportion of drinks represented by beverage types consumed during the period, liquor, beer (as lite/regular/malt liquor, etc.), and wines (fortified vs. table wines).
The CLDH was expanded for this study to assess drinking patterns during four critical periods related to HCV diagnosis and treatment: 1) prior to HCV diagnosis; 2) from diagnosis to HCV treatment; 3) during HCV treatment; and 4) from end of treatment to six-month follow-up SVR test.
Alcohol measures
Data from the CLDH were used to generate estimates of total volumes of ethanol consumed (in kg) for three periods: 1) prior to HCV diagnosis, 2) from diagnosis to treatment, and the sum of 1 and 2, which yielded ethanol consumed prior to HCV treatment. Total volumes of ethanol were divided by 14 g to calculate total numbers of standard drinks, which were divided by number of drinking days to estimate drinking intensity, drinks per drinking day, for these three periods. Total drinks were also divided by week and used together with drinks per drinking day to classify patients as heavy or less than heavy drinkers according to NIAAA criteria, where heavy drinking is the consumption of more than 3 drinks on any day or more than 7 per week for women and more than 4 drinks on any day or more than 14 per week for men (11). Duration of abstention prior to HCV treatment was calculated by subtracting age at last drink before treatment from age at treatment initiation. Drinking during HCV treatment and during the six months following treatment is characterized as present or absent.
Information on CD diagnosis was extracted from an electronic database for Outpatient Services Clinical Records dating back to 2000. Primary care physicians and specialists complete an outpatient services clinical record on which they check off patients’ current and ongoing medical problems, including alcohol and drug abuse, every time they see a patient. Date and type of visit to the health care plan’s Chemical Dependency Recovery Program have been recorded electronically since 2000. Patients having a record of at least one group visit were considered to have a recent history of CD treatment.
HCV treatment measures
Information on HCV treatment was extracted from the electronic medical records and medical records kept by the Gastroenterology (GI) department. Treatment records were kept by a single nurse who recorded all HCV-related laboratory and pathology findings; she completed a flow sheet summarizing adverse reactions and changes in interferon and ribavirin dose for each patient at each visit to the GI Department. Visits were scheduled at week 1–2 and at least every four weeks thereafter. Study measures extracted from these records included genotype (2/3 vs. 1/4/6), pretreatment viral load (<600,000 IU/ml vs. >600,000 IU/ml), and Metavir stage 3 or 4 (advanced fibrosis) vs. stage 0–2 (not advanced). Stage was determined by histology, but in the absence of a liver biopsy, patients were also considered to have advanced fibrosis if they had platelet count <110,000, AST>ALT, and splenomegaly. Records contained data on all premature treatment discontinuations including date and reason (i.e., adverse reactions to treatment or noncompliance). Treatment that was appropriately stopped because of early non-response was coded as failure to obtain an SVR, not treatment discontinuation. Also extracted were data on end of treatment virological response (ETR); and SVR.
Analyses
Relations of known host and viral risk factors and pretreatment patterns of alcohol intake to SVR were examined using Chi-square statistics for cross-tabulations. Cross-tabulation analyses were also conducted to detect potentially confounding relationships between host and viral risk factors and patterns of alcohol intake. Multiple logistic regression analyses were used to determine the independent contributions of host, viral, and alcohol risk factors to SVR failure.
Results
Analyses for bias: Comparison of eligible patients who were and were not interviewed revealed that interviewed patients tended to have somewhat higher SVR rates (60.6% vs. 55.4%, p = .304) and were somewhat more likely to have a chemical dependency diagnosis mentioned in their medical record (30.9% vs. 26.6%%, p = .357); or a record of recent treatment for chemical dependency (7.7% vs. 4.5%%, p = .207), but none of these differences were statistically significant.
Cohort host, viral, and alcohol-related risk factors are characterized in Table 1, as they relate to SVR. Age and sex were not significantly related to SVR. SVR rates were significantly lower in patients with the following risk factors: a racial/ethnic background other than White, non-Hispanic, pretreatment viral load ≥ 600,000 IU, HCV genotype 1, 4, or 6, advanced fibrosis, or treatment discontinuation. However, no significant impact on SVR rates was associated with moderate or heavy drinking or with failure to abstain six months before treatment.
Table 1.
Risk Factor | N (%) | SVR % | ρ |
---|---|---|---|
Age | |||
< 50 years | 116 (45.1) | 60.3% | .916 |
≥ 50 years | 141 (54.9) | 61.0% | |
Sex | |||
Male | 154 (59.5) | 59.7% | .726 |
Female | 105 (40.5) | 61.9% | |
Race/Ethnicity | |||
White, non-Hispanic | 207 (79.9) | 64.3% | .017 |
Other | 52 (20.1) | 46.2% | |
Pretreatment Viral Load | |||
≤ 600,00 I.U. | 115 (44.4) | 68.7% | .017 |
> 600,000 I.U. | 144 (55.6) | 54.2% | |
Fibrosis | |||
Not Advanced | 132 (65.3) | 63.6% | .024 |
Advanced | 70 (34.7) | 47.1% | |
HCV Genotype | |||
Genotype 2/3 | 116 (45.0) | 80.2% | <.001 |
Genotype 1/4/6 | 142 (55.0) | 45.1% | |
Treatment Completion | |||
Completed 80-80-80 dosea | 204 (79.9) | 66.7% | <.001ac |
Dose reduced to less than 80-80-80b | 17 (6.7) | 58.8% | .531ab |
Discontinuedc | 34 (13.4) | 20.6% | .006bc |
For Adverse Effects | 27 (10.6) | 18.5% | |
For non-Compliance | 6 (2.4) | 33.3% | |
For Unrelated Illness | 1 (0.4) | 0% | |
Pretreatment Alcohol Drinking Patterns, NIAAA Physician Guidelines |
|||
Abstainer | 18 (7.1) | 66.7% | .702 |
Moderate Drinker | 64 (25.0) | 57.1% | |
Heavy Drinker | 171 (67.9) | 62.0% | |
Total Pretreatment Alcohol Consumption (kg) | |||
< 100 kg | 92 (36.5) | 52.2% | .105 |
≥100 < 350 kg | 67 (26.6) | 67.2% | |
≥350 < 1000 kg | 54 (21.4) | 70.4% | |
> 1000 kg | 39 (15.5) | 59.0% | |
Pretreatment Abstinence (Excluding Lifetime Abstainers) |
|||
< 6 Months | 70 (29.3) | 57.1% | .748 |
6 Months to 2 Years | 31 (13.0) | 67.7% | |
2 to 10 Years | 61 (25.5) | 62.3% | |
10 Years or More | 77 (32.2) | 58.4% | |
Chemical Dependency Diagnosis | |||
No | 180 (69.5) | 61.1% | .806 |
Yes | 79 (30.5) | 57.9% | |
Chemical Dependency Treatment | |||
No | 239 (92.3) | 61.9% | .157* |
Yes | 20 (7.7) | 45.0% |
Exact Significance (1-sided) = .107
Analyses investigating relations between host and viral risk factors and pretreatment alcohol measures are summarized in Tables 2 and 3. Pretreatment alcohol intake, categorized as total kg of ethanol consumed is examined in Table 2. Sixty-three percent of patients reported drinking more than 100 kg of ethanol prior to HCV treatment. Pretreatment alcohol intake is strongly associated with being male, and there is a tendency for White, non-Hispanics to be under-represented in the lowest and highest alcohol intake categories. Treatment discontinuation overall tended to be higher among the heaviest drinkers, and this was significant for treatment discontinuation associated with non-compliance--7.7% in those with pretreatment alcohol intake over 1000 kg. However, overall treatment discontinuation rates were low in our cohort, and discontinuation was related to non-compliance among only 2.0%. Pretreatment alcohol intake was associated with the length of abstinence prior to HCV treatment--the heaviest drinkers were more likely than others to have abstained more than six months, and the majority in all drinking categories abstained more than two years. Pretreatment abstinence is examined further in Table 3. Older patients were significantly more likely to report over ten years of abstinence, and women tended to have abstained for longer periods than men prior to HCV treatment, but differences related to other host and viral risk factors were not statistically significant.
Table 2.
Risk Factors | Pretreatment Alcohol Intake | Totals (N=253) |
||||
---|---|---|---|---|---|---|
Less than 100 kg (N=93)1 |
100 to 350 kg (N=67) |
351 to 1000 kg (N=54) |
Over 1000 kg (N=39) |
p | ||
Age (Mean ± SD) | 50.2 (7.3) | 49.6 (6.5) | 50.2 (5.9) | 49.2 (9.5) | 49.9 (7.2) | NS |
Gender (% Male) | 22.2% | 38.2% | 59.0% | 85.2% | 59.9% | <.001 |
Race/Ethnicity (% non-Hispanic White) | 76.6% | 89.6% | 79.6% | 71.8% | 79.9% | .106 |
Pretreatment Viral Load (% ≥ 600,000 IU /ml) | 54.8% | 58.2% | 48.1% | 59.0% | 54.9% | NS |
Genotype (% 1, 4 or 6) | 51.6% | 53.0% | 53.7% | 64.1% | 54.4% | NS |
Advanced Fibrosis (% Positive) (N=197) | 38.6% | 31.4% | 41.5% | 33.3% | 35.5% | NS |
Failure to meet 80-80-80 Criteria | 11% | 7.7% | 0% | 5.1% | 6.9% | .086 |
Treatment Discontinuation (Overall %) | 17.4% | 9.1% | 5.6% | 20.5% | 13.1% | .073 |
For Adverse Events (%) | 15.2% | 9.1% | 3.7% | 12.8% | 10.8% | NS |
For Non-Compliance (%) | 1.1% | 0% | 1.9% | 7.7% | 2.0% | .042 |
For Unrelated Illness (1%) | 1.1% | 0% | 0% | 0% | .4% | NS |
Duration of Pretreatment Abstention | ||||||
<6 Months | 25.0% | 35.8% | 35.2% | 15.4% | 28.8% | .054 |
6 Months – 2 Years | 9.2% | 14.9% | 11.1% | 20.5% | 13.1% | |
2 – 10 Years | 22.4% | 22.4% | 22.2% | 41.1% | 25.4% | |
10+ Years | 43.4% | 26.9% | 31.5% | 23.2% | 32.6% |
Includes 18 patients who said they never drank regularly; 14 drank irregularly; 4 never drank or had fewer than 12 drinks in a 12-month period. Duration of abstention is missing for these 18 patients.
The probability of significantly different ages related to pretreatment alcohol intake is based on analysis of variance; elsewhere significance levels are based on 2-sided χ2 tests for categorical variables.
Table 3.
Risk Factors | Duration of Pretreatment Abstinence | Totals (N=241) |
||||
---|---|---|---|---|---|---|
Less than 6 Mo. (N = 71) |
6 Mo. to 2 Yrs. (N=31) |
2 to 10 Yrs. (N=62) |
Over 10 Yrs. (N=77) |
P* | ||
Age (Mean ± SD) | 48.1 (8.6) | 48.1 (7.3) | 48.2 (7.5) | 51.8 (6.1) | 49.9 (7.2) | .005 |
Gender (% Male) | 66.2% | 83.9% | 61.3% | 53.2% | 63.1% | .025 |
Race/Ethnicity (% non-Hispanic White) | 84.5% | 87.1% | 75.8% | 77.9% | 80.5% | NS |
Pretreatment Viral Load (% ≥ 600,000 IU/ml) | 56.3% | 51.6% | 50.8% | 59.7% | 55.4% | NS |
Genotype (% 1, 4 or 6) | 57.7% | 48.4% | 61.7% | 49.4% | 54.8% | NS |
Advanced Fibrosis (% Positive) (N=197) | 35.3% | 32.0% | 34.6% | 32.8% | 33.9% | NS |
Failed to meet 80-80-80 Criteria | 2.9% | 6.7% | 8.3% | 2.6% | 4.7% | NS |
Treatment Discontinuation (Overall %) | 11.4% | 12.9% | 8.3% | 20.8% | 13.9% | NS |
For Adverse Events (%) | 8.6% | 12.9% | 6.7% | 15.6% | 10.9% | NS |
For Non-Compliance (%) | 2.9% | 0% | 1.7% | 3.9% | 2.5% | NS |
For Unrelated Illness (%) | 0% | 0% | 0%% | 1.3% | 0.4% | NS |
The probability of significantly different ages related to pretreatment alcohol intake is based on analysis of variance; elsewhere significance levels are based on 2-sided χ2 tests for categorical variables.
Findings from multiple logistic regressions examining the relation of pretreatment alcohol intake and abstention with HCV treatment outcome while controlling for host and viral risk factors are summarized in Tables 4 and 5. Race/ethnicity other than white non-Hispanic, high pretreatment viral load, HCV genotype 1, 4, or 6, and treatment discontinuation all contributed significantly to HCV treatment failure, but advanced fibrosis and pretreatment alcohol intake did not. Findings for pretreatment abstinence were similar.
Table 4.
Risk Factors | Odds Ratios (95% CI) | ρ Values |
---|---|---|
Hispanic and/or non-White | 2.99 (1.23 – 7.22) | .016 |
Pretreatment Viral Load | 2.11 (1.03 – 4.33) | .042 |
HCV Genotype 1/4/6 | 4.64 (2.20 – 9.80) | <.001 |
Advanced Fibrosis | 1.71 (.814 – 3.59) | .157 |
Treatment Discontinuation | 9.81 (3.08 – 31.3) | <.001 |
Pretreatment Alcohol Intake (kg) | 1.00 (.999 – 1.00) | .303 |
Table 5.
Risk Factors | Odds Ratios (95% CI) | ρ Values |
---|---|---|
Hispanic and/or non-White | 2.31 (1.02 – 5.23) | .044 |
Pretreatment Viral Load | 1.98 (1.02 – 3.86) | .045 |
HCV Genotype 1/4/6 | 4.14 (2.07 – 8.27) | <.001 |
Advanced Fibrosis | 1.81 (.910 – 3.60) | .091 |
Treatment Discontinuation | 7.29 (2.50 – 21.3) | <.001 |
Pretreatment Abstinence (Mo.) | .998 (.993 – 1.004) | .502 |
More detailed analyses were conducted to examine the relation of six-month pretreatment abstinence on SVR among moderate drinkers. One-third of moderate drinkers did not abstain for six months prior to treatment, and their SVR rates were lower than those in moderate drinkers who did abstain, 42.9% compared to 64.3% (p = .105). We conducted multiple logistic regression analyses to identify host and viral risk factors that significantly influenced SVR rates in this cohort of moderate drinkers, deleted those that were not significant, and then examined six-month abstinence (see Table 6). After adjusting for race/ethnicity, HCV genotype, and treatment discontinuation, failure to abstain six months or more was associated with a significantly greater risk of treatment failure. A similar association was not seen among heavy drinkers. Although 26.9% of the heavy drinkers did not abstain six months, 63.0% obtained SVRs, compared to 61.6% of those who did abstain six months or more (p = .863). Adjusting for host and viral risk factors confirmed the lack of an effect.
Table 6.
Risk Factors | Odds Ratios (95% CI) | ρ Values |
---|---|---|
Hispanic and/or non-White | 8.11 (1.35 – 48.7) | .022 |
HCV Genotype 1/4/6 | 3.70 (.986 – 13.9) | .053 |
Treatment Discontinuation | 25.6 (3.50 – 187.5) | .001 |
Pretreatment Abstention (< 6 Mo.) | 5.26 (1.25 – 22.2) | .024 |
An examination of regular drinking during critical periods defined by HCV diagnosis and treatment revealed that over 93 percent of the patients were drinking regularly prior to receiving their HCV diagnosis, after which the number of regular drinkers decreased dramatically, to only 30.9%. Regular drinking fell to less than two percent during HCV treatment and increased somewhat after treatment ended. When SVR rates were examined with respect to fibrosis grade and regular drinking during critical periods (Table 7), SVR was higher only among patients who did not drink regularly prior to HCV diagnosis and had lower grade fibrosis. Thirty-four patients relapsed after being clear of virus at the end of treatment; 14.7% reported drinking after treatment ended compared to 10.7% among patients who did not relapse (p = .453).
Table 7.
Lower Grade Fibrosis | Higher Grade Fibrosis | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Drank Regularly |
Did Not Drink Regularly |
ρ | Drank Regularly |
Did Not Drink Regularly |
ρ | |||||
N | % SVR | N | % SVR | N | % SVR | N | % SVR | |||
Critical Period 1 | 125 | 61.6 | 7 | 100.0 | .040 | 62 | 48.4 | 8 | 37.5 | .562 |
Critical Period 2 | 42 | 57.1 | 90 | 66.7 | .289 | 21 | 42.9 | 49 | 49.0 | .638 |
Critical Period 3 | 2 | 100.0 | 130 | 63.1 | .281 | 2 | 50.0 | 68 | 47.1 | .935 |
Critical Period 4 | 17 | 70.6 | 115 | 62.6 | .523 | 9 | 33.3 | 61 | 49.2 | .374 |
DISCUSSION
Early studies of alcohol consumption and outcomes of HCV treatment with interferon monotherapy in Japan (12–14) and Italy (15, 16) consistently indicated that heavy drinking was associated with significantly poorer SVR rates. These studies were limited by small sample sizes, failure to control for adherence to antiviral therapy, and use of crude alcohol measures. Nonetheless, they provided a rationale for excluding patients with a history of alcohol abuse from clinical trials of new antiviral therapy. Accordingly, few studies relating alcohol consumption to HCV treatment outcomes with combination interferon and ribavirin therapy have been conducted. Anand and colleagues (9) reported data from a multicenter study involving a select group of 726 veterans treated three times weekly with interferon alpha and ribavirin. They found that drinking in the 12 months prior to treatment was significantly associated with failure to complete treatment (40% vs. 26%, p = .0002) and a reduced SVR rate (14% vs 20%, p = .06). In a per-protocol analysis of patients who completed treatment the negative effect of recent drinking on SVR rates disappeared (25% vs 23%). A study of patients treated with pegylated interferon and ribavirin (P/R) in a university-affiliated outpatient clinic serving an inner city population, found that a past history of consuming more than 30 g/day of ethanol was associated with significantly lower SVR rates (17). This finding was based on an intention to treat analysis, which included patients who discontinued treatment early for reasons other than lack of an early virological response; it was noted that 46% of the sample (53/115) failed to complete treatment, and that past alcohol intake was not significantly related to outcome in patients who completed treatment.
Given the relatively high SVR rates obtained in our cohort, we expected moderate drinking patterns to predominate in our patients. Therefore, it came as a surprise to find that over 60% had a pretreatment alcohol intake over 100 kg, an amount above which rates of alcoholic liver disease begin to increase (18), and over 15% reported drinking more than 10 times this amount. A key difference between our patients and those previously studied is that only 14% discontinued treatment, and discontinuation was related to pretreatment alcohol intake only in non-compliant patients, who made up less than 2% of the cohort and were mainly limited to patients whose pretreatment alcohol intake was over 1000 kg. Thus, our findings are consistent with previous reports that past alcohol history (17) and drinking during the 12 months prior to treatment (9) did not influence treatment outcome in patients who completed treatment.
Failure to observe a relationship between alcohol consumption and advanced fibrosis may reflect the fact that these factors are likely to have influenced entry into HCV treatment. Patients with advanced fibrosis would have been encouraged to seek treatment, whereas heavy drinkers may have been unwilling or too ill to commit to treatment.
Integrated care and aggressive follow up on phone and in clinic may have contributed to the high treatment completion rates and SVR achieved in this cohort, but adherence may also have been in part due to the patients’ stable life circumstances and support of the family. In addition to stable insurance coverage, over 60% were married, and 80% were either employed or retired. We did not assess the prevalence or severity of alcohol dependence in this study, but it seems likely that both are lower in privately insured cohorts with high marriage and employment rates than among the inner city clinic patients and veterans studied by Chang and colleagues (17) and Anand and colleagues (9), respectively. Socioeconomic stability and less severe alcohol dependence may have contributed in part to the rapid drop in regular drinking observed in response to HCV diagnosis and the further decrease once HCV treatment was initiated. We do not believe that these findings were obtained because our cohort is unique. An increasing percentage of the U.S. population is enrolled in integrated health care plans. Except for extremes of income, membership of the Kaiser Sacramento Health Care Plan is representative of the total area’s population (19), and demographics of the Sacramento area are similar to those for the U.S. as a whole. This is important because, although HCV+ rates are relatively low among individuals who are privately insured or on Medicare, this is such a large population that it accounts for 46% of the HCV+ patients in the U.S. household population (Third National Health and Nutrition Survey, National Center for Health Statistics, 1994, unpublished data).
Our finding that failure to abstain for six months prior to HCV treatment was related to significantly higher risk of treatment failure in moderate, but not heavy drinkers was also unexpected. This finding is counterintuitive, and it is based on a relatively small sample. Therefore, it needs to be replicated in a larger sample to determine whether or not it may have occurred by chance. Meanwhile, the fact that pretreatment abstinence was not associated with treatment outcome in the cohort as a whole suggests that requiring six months of abstinence prior to treatment is less critical to outcome than ensuring that patients are committed to treatment and providing close monitoring and ancillary care.
A potential limitation of these findings concerns the validity of retrospective measures of lifetime drinking patterns. Prospective ascertainment of alcohol intake poses fewer problems concerning memory than retrospective ascertainment, but this advantage is offset by the problems involved in long-term studies of rare chronic diseases. In addition, several studies have found that heavy drinkers report higher alcohol intakes retrospectively than prospectively (20–22), which suggests that people are more comfortable reporting past heavy drinking than current heavy drinking. Because intense pressure on patients to reduce their alcohol intake prior to HCV treatment seemed likely to foster denial, we chose to study patients who had already been treated to reduce denial, and we emphasized that patients’ data would be kept confidential, even from their care providers. Test-retest reliability of the CLDH was not re-examined in this study, but internal validity was good. Patients with a CD diagnosis or CD treatment reported consuming approximately twice as much alcohol prior to HCV treatment as patients without CD records. It is possible that patients who did not obtain an SVR might have minimized their alcohol intake if they thought it might jeopardize their future treatment. However, successfully treated patients had little reason to exaggerate their drinking, and the high alcohol intakes reported both by patients who did and did not recover suggests that denial did not influence these findings.
In conclusion, excellent P/R treatment completion rates and outcomes were not impaired by high pretreatment alcohol intakes or failure to abstain six months prior to treatment in patients of an integrated health care plan who were aggressively supported and closely monitored. These findings suggest that past heavy drinking and recent drinking represent low treatment risk in these patients. The fact that over 60% of patients stopped drinking when HCV+ was diagnosed documents the potential for immediate health benefits associated with case finding in this population.
Acknowledgments
The authors wish to thank Boris H. Ruebner, M.D., University of California at Davis, for confirming biopsy findings in our cohort. We also thank Lilli Remer, Prevention Research Center, for assistance in programming the computer-assisted interview used in this study and deriving measures from it; Fred Johnson, Ph.D., Prevention Research Center, for assistance in data management and analysis; John Edwards, Kaiser Permanente Chemical Dependency Services, for IT assistance; and Sonia Menenberg, RN, Kaiser Permanente Chemical Dependency Services, for supervising our interviewer.
Financial Support
This work was supported by NIH grant R01AA016231-03, Lifetime Drinking Patterns & HCV Treatment Outcomes.
List of Abbreviations
- HCV
hepatitis c virus
- P/R
pegylated interferon alpha and ribavirin
- HCV+
chronic hepatitis c infection
- CLDH
Cognitive Lifetime Drinking History
- SVR
sustained virological response
- IU
International Units
- AST
serum aspartate aminotransferase
- ALT
serum alanine aminotransferase
Contributor Information
Marcia Russell, Email: russell@prev.org.
Mary Patricia Pauly, Email: marypat.pauly@KP.org.
Charles Denton Moore, Email: charlie.moore@kp.org.
Constance Chia, Email: constance.chia@kp.org.
Jennifer Dorrell, Email: jennifer.m.dorrell@kp.org.
Renee J. Cunanan, Email: renee.J.cunanan@kp.org.
Gayle Witt, Email: gayle.witt@KP.org.
Scott Martin, Email: smartin@prev.org.
REFERENCES
- 1.Armstrong GL, Wasley A, Simard EP, McQuillan GM, Kuhnert WL, Alter MJ. The prevalence of hepatitis C virus infection in the United States, 1999 through 2002. Ann Intern Med. 2006;144:705–714. doi: 10.7326/0003-4819-144-10-200605160-00004. [DOI] [PubMed] [Google Scholar]
- 2.Colvin HM, Mitchell AE. Hepatitis and Liver Cancer: A National Strategy for Prevention and Control of Hepatitis B and C. Washington, D.C.: The National Academies Press; 2010. [DOI] [PubMed] [Google Scholar]
- 3.Davis GL, Alter MJ, El-Serag H, Poynard T, Jennings LW. Aging of hepatitis C virus (HCV)-infected persons in the United States: a multiple cohort model of HCV prevalence and disease progression. Gastroenterology. 2010;138:513–521. doi: 10.1053/j.gastro.2009.09.067. 521 e511–516. [DOI] [PubMed] [Google Scholar]
- 4.Tsui JI, Maselli J, Gonzales R. Sociodemographic Trends in National Ambulatory Care Visits for Hepatitis C Virus Infection. Dig Dis Sci. 2008;54:2694–2698. doi: 10.1007/s10620-008-0659-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Curry MP. Hepatitis B and hepatitis C viruses in liver transplantation. Transplantation. 2004;78:955–963. doi: 10.1097/01.tp.0000140927.63952.58. [DOI] [PubMed] [Google Scholar]
- 6.Altekruse SF, McGlynn KA, Reichman ME. Hepatocellular Carcinoma Incidence, Mortality, and Survival Trends in the United States From 1975 to 2005. Journal of Clinical Oncology. 2009;27:1485–1491. doi: 10.1200/JCO.2008.20.7753. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Wise M, Bialek S, Finelli L, Bell BP, Sorvillo F. Changing trends in hepatitis C-related mortality in the United States, 1995–2004. Hepatology. 2008;47:1128–1135. doi: 10.1002/hep.22165. [DOI] [PubMed] [Google Scholar]
- 8.Morrill JA, Shrestha M, Grant RW. Barriers to the treatment of hepatitis C. Journal of General Internal Medicine. 2005;20:754–758. doi: 10.1111/j.1525-1497.2005.0161.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Anand BS, Currie S, Dieperink E, Bini EJ, Shen H, Ho SB, Wright T. Alcohol use and treatment of hepatitis C virus: results of a national multicenter study. Gastroenterology. 2006;130:1607–1616. doi: 10.1053/j.gastro.2006.02.023. [DOI] [PubMed] [Google Scholar]
- 10.Russell M, Marshall JR, Trevisan M, Freudenheim JL, Chan AW, Markovic N, Vana JE, et al. Test-retest reliability of the cognitive lifetime drinking history. Am J Epidemiol. 1997;146:975–981. doi: 10.1093/oxfordjournals.aje.a009225. [DOI] [PubMed] [Google Scholar]
- 11.NIAAA. Helping Patients Who Drink Too Much: A Clinicians' Guide, Updated 2005 Edition. Washington, D.C.: National Institute on Alcohol Abuse and Alcoholism; 2005. [Google Scholar]
- 12.Ohnishi K, Matsuo S, Matsutani K, Itahashi M, Kakihara K, Suzuki K, Ito S. Interferon therapy for chronic hepatitis C in habitual drinkers: Comparison with chronic hepatitis C in infrequent drinkers. American Journal of Gastroenterology. 1996;91:1374–1379. [PubMed] [Google Scholar]
- 13.Okazaki T, Yoshihara H, Suzuki K, Yamada Y, Tsujimura T, Kawano K. Efficacy of interferon therapy in patients with chronic hepatitis C. Comparison between non-drinkers and drinkers. Scandinavian Journal of Gastroenterology. 1994;29:1039–1043. doi: 10.3109/00365529409094883. [DOI] [PubMed] [Google Scholar]
- 14.Mochida S, Ohnishi K, Matsuo S, Kakihara K, Fujiwara K. Effect of alcohol intake on the efficacy of interferon therapy in patients with chronic hepatitis C as evaluated by multivariate logistic regression analysis. Alcoholism: Clinical and Experimental Research. 1996;20:371A–377A. [PubMed] [Google Scholar]
- 15.Loguercio C, Di Pierro M, Di Marino MP, Federico A, Disalvo D, Crafa E, Tuccillo C, et al. Drinking habits of subjects with hepatitis C virus-related chronic liver disease: prevalence and effect on clinical, virological and pathological aspects. Alcohol and Alcoholism. 2000;35:296–301. doi: 10.1093/alcalc/35.3.296. [DOI] [PubMed] [Google Scholar]
- 16.Tabone M, Sidoli L, Laudi C, Pellegrino S, Rocca G, Della Monica P, Fracchia M, et al. Alcohol abstinence does not offset the strong negative effect of lifetime alcohol consumption on the outcome of interferon therapy. J Viral Hepat. 2002;9:288–294. doi: 10.1046/j.1365-2893.2002.00360.x. [DOI] [PubMed] [Google Scholar]
- 17.Chang A, Skole K, Gautam M, Schmutz J, Black M, Thomas R, Horwitz B, et al. The impact of past alcohol use on treatment response rates in patients with chronic hepatitis C. Aliment Pharmacol Ther. 2005;22:701–706. doi: 10.1111/j.1365-2036.2005.02631.x. [DOI] [PubMed] [Google Scholar]
- 18.Bellentani S, Saccoccio G, Costa G, Tiribelli C, Manenti F, Sodde M, Saveria Croce L, et al. Drinking habits as cofactors of risk for alcohol induced liver damage. The Dionysos Study Group. Gut. 1997;41:845–850. doi: 10.1136/gut.41.6.845. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Weisner C, Mertens J, Parthasarathy S, Moore C, Lu Y. Integrating primary medical care with addiction treatment: a randomized controlled trial. JAMA. 2001;286:1715–1723. doi: 10.1001/jama.286.14.1715. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Czarnecki DM, Russell M, Cooper ML, Salter D. Five-year reliability of self-reported alcohol consumption. Journal of Studies on Alcohol. 1990;51:68–76. doi: 10.15288/jsa.1990.51.68. [DOI] [PubMed] [Google Scholar]
- 21.Ernhart CB, Morrow-Tlucak M, Sokol RJ, Martier S. Underreporting of alcohol use in pregnancy. Alcoholism: Clinical and Experimental Research. 1988;12:506–511. doi: 10.1111/j.1530-0277.1988.tb00233.x. [DOI] [PubMed] [Google Scholar]
- 22.Simpura J, Poikolainen K. Accuracy of retrospective measurement of individual alcohol consumption in men: A reinterview after 18 years. Journal of Studies on Alcohol. 1983;44:911–917. doi: 10.15288/jsa.1983.44.911. [DOI] [PubMed] [Google Scholar]