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Rate, delay and predictors of hepatitis C treatment in British Columbia
Insights
Treatment rates for chronic hepatitis C virus (HCV) infection remain low. Male sex and elevated ALT levels predicted treatment, while smoking and comorbidities predicted non-treatment, highlighting barriers to care.
Area of Science:
- Hepatology
- Infectious Diseases
- Public Health
Background:
- Chronic hepatitis C virus (HCV) infection treatment rates are suboptimal despite effective antiviral therapies.
- Understanding treatment barriers is crucial for improving patient outcomes.
Purpose of the Study:
- To determine the rate, delay, and predictors of treatment initiation in patients with chronic HCV infection.
- To identify factors influencing treatment decisions and delays.
Main Methods:
- Retrospective chart review of 164 chronic HCV patients evaluated at a tertiary hepatology center.
- Analysis of patient demographics, clinical factors, and reasons for treatment deferral or non-initiation.
Main Results:
- Only 25.6% of patients initiated treatment.
- Male sex and elevated ALT levels were positive predictors of treatment.
- Active smoking, comorbidities, and minimal fibrosis were associated with treatment deferral or non-initiation.
- Significant delays were observed from HCV diagnosis to general practitioner referral.
Conclusions:
- Chronic HCV treatment rates remain suboptimal, with comorbidities posing a significant obstacle.
- Educational initiatives for primary care physicians and increased nursing support are recommended to improve patient referral and treatment access.
- Future therapies may reduce the impact of minimal fibrosis on treatment decisions.
Background:
The current treatment rate for chronic hepatitis C virus (HCV) infection is suboptimal despite the availability of efficacious antiviral therapy.
Objective:
To determine the rate, delay and predictors of treatment in patients with chronic HCV infection.
Methods:
A retrospective chart review of chronic HCV patients who were being evaluated at a tertiary hepatology centre in Vancouver, British Columbia, was performed.
Results:
One hundred sixty-four patients with chronic HCV infection who were assessed for treatment between February 2008 and January 2013 were reviewed. Treatment was initiated in 25.6% (42 of 164). In multivariate analyses, male sex (OR 7.90 [95% CI 1.35 to 46.15]) and elevated alanine aminotransferase (ALT) level (>1.5 times the upper limit of normal) (OR 3.10 [95% CI 1.32 to 7.27]) were positive predictors of treatment, whereas active smoking (OR 0.09 [95% CI 0.02 to 0.53]) and Charlson comorbidity index (per point increase) (OR 0.47 [95% CI 0.27 to 0.83]) were negative predictors of treatment. The most common reasons for treatment deferral were no or minimal liver fibrosis in 57.7% (n=30), persistently normal ALT levels in 57.7% (n=30) and patient unreadiness in 28.8% (n=15). The most common reasons for treatment noninitiation were patient refusal in 59.1% (n=26), medical comorbidities in 36.4% (n=16), psychiatric comorbidities in 9.1% (n=4) and decompensated cirrhosis in 9.1% (n=4). There was a statistically significant difference in the median time delay from HCV diagnosis to general practitioner referral between the treated and untreated patients (66.3 versus 119.5 months, respectively [P=0.033]). The median wait time from general practitioner referral to hepatologist consult was similar between the treated and untreated patients (1.7 months versus 1.5 months, respectively [P=0.768]). Among the treated patients, the median time delay was 6.8 months from hepatologist consult to treatment initiation.
Conclusions:
The current treatment rate for chronic HCV infection remains suboptimal. Medical and psychiatric comorbidities represent a major obstacle to HCV treatment. Minimal hepatic fibrosis may no longer be a major reason for treatment deferral as more efficacious and tolerable antiviral therapies become available in the future. Greater educational initiatives for primary care physicians would promote early referral of patients. More nursing support would alleviate the backlog of patients awaiting treatment.
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