| Literature DB >> 35129278 |
Sonjelle Shilton1, Jessica Markby1, Maia Japaridze1, Violet Chihota1, Shaun Shadaker2, Lia Gvinjilia3, Maia Tsereteli4, Maia Alkhazashvili4, Maia Butsashvili5, Ketevan Stvilia4, Ryan Jose Ruiz1, Alexander Asatiani4, Ekaterine Adamia6, Philippa Easterbrook7, Irma Khonelidze4, Amiran Gamkrelidze4.
Abstract
BACKGROUND AND AIMS: In 2015, Georgia began a hepatitis C virus (HCV) elimination programme. Although screening programmes have been decentralized for high-risk groups, viraemic testing remains a bottleneck for people who inject drugs. Here, we describe two models of viraemic testing that aimed to address this gap.Entities:
Keywords: Hepatitis C; People who inject drugs; decentralized viremia testing; linkage to care
Mesh:
Substances:
Year: 2022 PMID: 35129278 PMCID: PMC9306782 DOI: 10.1111/liv.15191
Source DB: PubMed Journal: Liver Int ISSN: 1478-3223 Impact factor: 8.754
FIGURE 1Setting and location of study sites
FIGURE 2Clinical care pathways
Patient characteristics
| Variables | Total | On‐site Xpert arm | Centralized HCVcAg arm | Referral arm | On‐site Xpert vs centralized HCVcAg arm | On‐site Xpert vs referral arm | Centralized HCVcAg arm vs referral arm | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|
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| 1671 | 620 | 486 | 565 |
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| Age | |||||||||||
| Median (IQR) years | 43 (37, 50) | 43 (38, 50) | 43 (36, 50) | 43 (37, 50) | 0.42 | 0.76 | 0.58 | ||||
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| 18–30 | 102 | 6.1 | 38 | 6.1 | 36 | 7.4 | 28 | 5.0 | 0.04 | 0.25 | 0.31 |
| 31–40 | 548 | 32.8 | 196 | 31.6 | 166 | 34.2 | 186 | 32.9 | |||
| 41–50 | 631 | 37.8 | 238 | 38.4 | 170 | 35.0 | 223 | 39.5 | |||
| 51–60 | 328 | 19.6 | 134 | 21.6 | 89 | 18.3 | 105 | 18.6 | |||
| >60 | 62 | 3.7 | 14 | 2.3 | 25 | 5.1 | 23 | 4.1 | |||
| Sex | |||||||||||
| Male | 1594 | 95.4 | 595 | 96.0 | 449 | 92.4 | 550 | 97.3 | 0.01 | 0.19 | 0.0002 |
| Female | 77 | 4.6 | 25 | 4.0 | 37 | 7.6 | 15 | 2.7 | |||
| Ethnic group | |||||||||||
| Georgian | 1576 | 94.3 | 589 | 95.0 | 452 | 93.0 | 535 | 94.7 | 0.0002 | 0.0008 | 0.52 |
| Armenian | 34 | 2.0 | 21 | 3.4 | 7 | 1.4 | 6 | 1.1 | |||
| Other | 61 | 3.7 | 10 | 1.6 | 27 | 5.6 | 24 | 4.2 | |||
| Education level | |||||||||||
| Primary | 10 | 0.6 | 1 | 0.2 | 4 | 0.8 | 5 | 0.9 | 0.01 | 0.003 | 0.94 |
| Secondary | 989 | 59.2 | 337 | 54.4 | 229 | 61.5 | 353 | 62.5 | |||
| Tertiary | 672 | 40.2 | 282 | 45.5 | 183 | 37.7 | 207 | 36.6 | |||
| Employment status | |||||||||||
| Employed | 590 | 35.3 | 199 | 32.1 | 198 | 40.7 | 193 | 34.2 | 0.002 | 0.02 | 0.07 |
| Unemployed | 1062 | 63.6 | 419 | 67.6 | 282 | 58.0 | 361 | 63.9 | |||
| Other (Student, Retired) | 19 | 1.1 | 2 | 0.3 | 6 | 1.2 | 11 | 2.0 | |||
| Marital status | |||||||||||
| Married | 1115 | 66.7 | 429 | 69.2 | 311 | 64.0 | 375 | 66.4 | 0.19 | 0.13 | 0.21 |
| Divorced/Widowed | 195 | 11.7 | 61 | 9.8 | 57 | 11.7 | 77 | 13.6 | |||
| Single | 361 | 21.6 | 130 | 21.0 | 118 | 24.3 | 113 | 20.0 | |||
| Co‐morbidities (self‐reported)b | |||||||||||
| PLHIV | |||||||||||
| Yes | 12 | 0.7 | 4 | 0.7 | 6 | 1.2 | 2 | 0.4 | 0.58 | 0.27 | 0.15 |
| No | 1589 | 99.3 | 546 | 99.3 | 480 | 98.8 | 563 | 99.6 | |||
| On ART, ever, among PLHIV | |||||||||||
| Yes | 3 | 25.0 | 2 | 50.0 | 1 | 16.7 | 0 | 0.0 | 0.5 | 0.47 | 1.00 |
| No | 9 | 75.0 | 2 | 50.0 | 5 | 83.3 | 2 | 100.0 | |||
| HBV | |||||||||||
| Yes | 37 | 2.3 | 13 | 2.4 | 12 | 2.5 | 12 | 2.2 | 0.92 | 0.84 | 0.76 |
| No | 1546 | 97.7 | 534 | 97.6 | 474 | 97.5 | 538 | 97.8 | |||
| STI | |||||||||||
| Yes | 328 | 19.6 | 155 | 25.0 | 25 | 5.1 | 148 | 26.3 | <0.0001 | 0.17 | <0.0001 |
| No | 1340 | 81.4 | 465 | 75.0 | 461 | 94.9 | 414 | 73.7 | |||
| TB disease | |||||||||||
| Yes | 10 | 0.6 | 6 | 1.0 | 4 | 0.8 | 0 | 0.0 | 0.73 | 0.02 | 0.06 |
| No | 1659 | 99.4 | 614 | 99.0 | 481 | 99.2 | 564 | 100.0 | |||
| Harm reduction attendance | |||||||||||
| Currently Attending HRS | 732 | 43.8 | 432 | 69.7 | 73 | 15.0 | 227 | 40.2 | <0.0001 | <0.0001 | <0.0001 |
| Types of HRS attended, among currently attending participants | |||||||||||
| NSEP | 515 | 70.4 | 324 | 75.0 | 44 | 60.3 | 147 | 64.8 | 0.009 | 0.006 | 0.49 |
| OST | 222 | 30.3 | 88 | 20.4 | 53 | 72.6 | 81 | 35.7 | <0.0001 | <0.0001 | <0.0001 |
| NSEP & OST | 50 | 6.8 | 23 | 5.3 | 24 | 32.9 | 3 | 1.3 | <0.0001 | 0.01 | <0.0001 |
| Peer education/Case management programmes | 60 | 8.2 | 58 | 13.4 | 0 | 0 | 2 | 0.9 | 0.001 | <0.0001 | 0.42 |
| Risk behaviours | |||||||||||
| Currently injecting drugs | 1290 | 77.2 | 479 | 77.3 | 463 | 95.3 | 348 | 61.6 | <0.0001 | <0.0001 | <0.0001 |
| First age of injecting drug use (years), median (IQR) | 20 (18, 24) | 20 (18, 23) | 20 (19, 23) | 20 (18, 25) | 0.07 | 0.01 | 0.42 | ||||
| Drug use (past 6 months) | |||||||||||
| Opioids | 1261 | 75.5 | 454 | 73.2 | 449 | 92.4 | 358 | 63.4 | <0.0001 | 0.0003 | <0.0001 |
| Marijuana | 1096 | 65.6 | 391 | 63.1 | 364 | 74.9 | 341 | 60.4 | <0.0001 | 0.34 | <0.0001 |
| Amphetamine | 150 | 9.0 | 60 | 9.7 | 50 | 10.3 | 40 | 7.1 | 0.74 | 0.11 | 0.06 |
| Cocaine | 58 | 3.5 | 23 | 3.7 | 10 | 2.1 | 25 | 4.4 | 0.11 | 0.53 | 0.03 |
| Club drugs | 35 | 2.1 | 13 | 2.1 | 13 | 2.7 | 9 | 1.6 | 0.53 | 0.52 | 0.22 |
| Needle sharing (past 6 months), among all participants | |||||||||||
| Never | 969 | 58.0 | 383 | 61.8 | 300 | 61.7 | 286 | 50.6 | <0.0001 | <0.0001 | <0.0001 |
| Always | 10 | 0.6 | 6 | 1 | 4 | 0.8 | 0 | 0.0 | |||
| Sometimes | 295 | 17.6 | 93 | 15.0 | 163 | 33.5 | 39 | 6.9 | |||
| No Response or N/A | 397 | 23.8 | 138 | 22.3 | 19 | 3.9 | 240 | 42.5 | |||
| Cirrhosis, among participants enrolled in the treatment programme | |||||||||||
| Yes | 109 | 9.8 | 38 | 9.5 | 28 | 8.4 | 43 | 11.2 | 0.63 | 0.41 | 0.21 |
| No | 1006 | 90.5 | 364 | 90.5 | 304 | 91.6 | 340 | 88.8 | |||
| Decompensated (moderate or severe hepatic impairment; Child‐Pugh class B or C) | |||||||||||
| Yes | 10 | 0.9 | 4 | 1.0 | 2 | 0.6 | 4 | 1.0 | 0.7 | 1 | 0.69 |
| No | 1104 | 99.1 | 398 | 99.0 | 329 | 99.4 | 377 | 99.0 | |||
Abbreviations: ART, antiretroviral therapy; HBV, hepatitis B virus; HRS, harm reduction site; IQR, interquartile range; NSEP, needle syringe exchange program; OST, opioid substitution therapy; PLHIV, persons living with HIV; STI, sexually transmitted infection; TB, tuberculosis
p‐values for categorical variables derived from chi‐square or Fisher’s exact tests; for difference in medians, Wilcoxon rank sum tests were used.
Responses of “do not know” are excluded.
FIGURE 3Retention of patients in the hepatitis C care cascade by study arm
Time between HCV care cascade steps
|
Time median (IQR) [range] | HCV screening to sample collection for viraemia test | Sample collection to completion of sample testing | Test results to patient notification | Patient notification to treatment initiation | Total time (HCV screening to treatment initiation) |
|---|---|---|---|---|---|
| On‐site Xpert arm |
0 (0, 0) days [0–1 days]
|
0.07 (0.07, 0.08) days [0.06–0.97 days]
|
0.01 (0.01, 0.02) days [0.0–3.0 days]
|
57 (38, 87) days [9–776 days]
|
57 (39, 87) days [9–776 days]
|
| Centralized HCVcAg arm |
0 (0, 0) days [0–63 days]
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5.9 (3.1, 8.0) days [0.2–65.2 days]
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8.9 (6.0, 15.0) days [0.04–118.1 days]
|
31 (23, 61) days [11–604 days]
|
50 (38, 80) days [21–673 days]
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| Referral arm |
1 (0, 4) days [0–483 days]
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5.1 (1.2, 7.9) days [0.0–92.1 days]
|
6.8 (3.9, 12.8) days [0.1–376.7 days]
|
43 (29, 68) days [1–636 days]
|
67 (45, 94) days [18–776 days]
|
| Chi‐square | |||||
| On‐site Xpert vs. Centralized HCVcAg | 0.06 | <0.0001 | <0.0001 | <0.0001 | 0.58 |
| On‐site Xpert vs. Referral | <0.0001 | <0.0001 | <0.0001 | <0.0001 | 0.0006 |
| Centralized HCVcAg vs. Referral | <0.0001 | <0.0001 | <0.0001 | <0.0001 | <0.0001 |
Times from viraemia testing to database entry: On‐site Xpert arm – 0 (0, 0) days, [0–21 days]; centralized HCVcAg arm – 3 (1, 6 days), [0–43 days]; referral arm – 2 (0, 4 days), [0–65 days].
Abbreviations: HCV, hepatitis C virus; IQR, interquartile range.