| Literature DB >> 29974582 |
Zameer Mohamed1, John Rwegasha2, Jin U Kim1, Yusuke Shimakawa3, Lila Poiteau4, Stéphane Chevaliez4, Sanjay Bhagani5, Simon D Taylor-Robinson1, Mark R Thursz1, Jessie Mbwambo6, Maud Lemoine1.
Abstract
The World Health Organisation has recently called for hepatitis C virus (HCV) elimination and has identified people who inject drugs (PWID) as a key population to scale-up screening and linkage to care. This study reports the cascade of care for HCV in PWID attending the largest opioid substitution treatment (OST) clinic in Dar-es-Salaam, Tanzania. Between February 2011 and March 2016, HCV serology for all PWID registered at the Muhimbili National Hospital OST clinic, Dar-es-Salaam were obtained from records. In 2015, consecutive HCV-seropositive PWID were invited to undergo a clinical evaluation including epidemiological questionnaire, liver stiffness measurement (Fibroscan) and virological analysis (HCV RNA viral load and genotyping). During the study period, 1350 persons registered at the OST clinic: all had a HCV serology including 409 (30%) positive results. Among the HCV-seropositive individuals, 207 (51%) were active attenders and 153 (37%) were enrolled for clinical assessment: 141 (92%) were male, median age: 38 years (IQR 34-41), and 65 (44%) were co-infected with HIV; 116 patients (76%) had detectable HCV RNA, with genotypes 1a (68%) and 4a (32%); 21 (17%) had clinically significant fibrosis (≥F2) and 6 (5%) had cirrhosis (F4). None were offered HCV treatment. Chronic hepatitis C among PWID enrolled in the OST centre in Dar-es-Salaam is frequent, but its continuum of care is insufficient; integration of HCV diagnosis and treatment should form a part of OST intervention in PWID in Tanzania.Entities:
Keywords: Sub-Saharan Africa; cascade of care; fibrosis; hepatitis C virus ; people who inject drugs
Mesh:
Year: 2018 PMID: 29974582 PMCID: PMC6282511 DOI: 10.1111/jvh.12966
Source DB: PubMed Journal: J Viral Hepat ISSN: 1352-0504 Impact factor: 3.728
Figure 1HCV cascade of care for patients attending the OST centre at MNH
Clinical characteristics of HCV antibody positive patients undergoing clinical assessment
| Recruited (n = 153) | |
|---|---|
| Median age, years (IQR) | 38 (34‐41) |
| Male sex (%) | 141 (92) |
| Current history of heavy alcohol use (%) (defined as >40 g intake per day) | 24 (16) |
| Needle sharing practice (%) | 79 (52) |
| Knowledge of HCV status (%) (n = 107) | 66 (62) |
| Median time from starting IVDU, years (IQR) | 22 (18‐26) |
| Alcohol abstinence since enrolment (%) | 64 (42) |
| Median BMI, kg/m2 (IQR) | 20.8 (19‐23) |
| Anti‐HIV positive (%) | 65 (44) |
| CD4 count, cells/mm3 (IQR) | 553 (187‐769) |
| On ART (%) | 41 (27) |
| Tenofovir/Emtricitabine/Efavirenz (%) | 22 (54) |
| Tenofovir/Lamivudine/Efavirenz (%) | 10 (24) |
| Zidovudine/Lamivudine/Efavirenz (%) | 9 (22) |
| HBsAg positive (%) | 15 (10) |
| Median ALT, IU/L (IQR) | 30 (20‐49) |
| Median AST IU/L (IQR) | 39 (29‐55) |
| Median GGT, IU/L (IQR) | 58 (31‐110) |
| Median total bilirubin, μmol/l (IQR) | 7 (5‐10) |
| Median platelet count, x109/l (IQR) | 198 (158‐250) |
| Median APRI (IQR) | 0.59 (0.38‐0.92) |
| Proportion of patients with APRI ≥ 2, n (%) | 7/126 (6) |
| Median Fib‐4 (IQR) | 1.36 (0.92‐2.01) |
| Median GPR (IQR) | 0.32 (0.20‐0.86) |
| Median LSM (IQR) | 5.4 (4.4‐6.5) |
| Distribution of fibrosis stage according to LSM (%) | |
| F0‐1 | (102, (83)) |
| F2‐3 | (15, (12)) |
| F4 | (6, (5)) |
| Positive HCV RNA (%) | 116 (76) |
| Genotype (n = 110) | |
| 1a (%) | 75 (68) |
| 4a (%) | 35 (22) |
| Median HCV RNA (log IU/mL), (n = 116) | 5.7 (4.0‐6.3) |
ART, antiretroviral therapy; LSM, liver stiffness measurement.
Diagnostic accuracy of APRI, Fib‐4 and GPR using LSM as a reference in patients with chronic hepatitis C
| F0‐1 vs F2‐4 | F0‐3 vs F4 | |||
|---|---|---|---|---|
| APRI | ||||
| AUROC (95% CI) | 0.58 (0.41‐0.75) | 0.51 (0.06‐0.97) | ||
| Cut‐off values | 0.5 | 1.5 | 1.0 | 2.0 |
| Sensitivity/specificity (%) | 73/34 | 27/88 | 50/77 | 25/95 |
| Correctly classified (%) | 41 | 77 | 76 | 92 |
| PPV/NPV (%) | 20/85 | 33/84 | 10/97 | 20/96 |
| Positive/negative LR | 1.1/0.8 | 2.2/0.8 | 2.2/0.7 | 4.9/0.8 |
| Fib‐4 | ||||
| AUROC (95% CI) | 0.51 (0.34‐0.68) | 0.48 (0.09‐0.87) | ||
| Cut‐off values | 1.45 | 3.25 | ||
| Sensitivity/specificity (%) | 43/50 | 14/92 | ||
| Correctly classified (%) | 49 | 78 | ||
| PPV/NPV (%) | 16/80 | 29/83 | ||
| Positive/negative LR | 0.9/1.1 | 1.8/0.9 | ||
| GPR | ||||
| AUROC (95% CI) | 0.56 (0.37‐0.75) | 0.62 (0.34‐0.90) | ||
| Cut‐off values | 0.28 | 0.28 | ||
| Sensitivity/specificity (%) | 69/40 | 75/39 | ||
| Correctly classified (%) | 45 | 41 | ||
| PPV/NPV (%) | 19/87 | 6/97 | ||
| Positive/negative LR | 1.2/0.8 | 1.2/0.6 | ||
AUROC, area under the receiving operator curve; PPV, positive predictive value; NPV, negative predictive value.