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HEPATOLOGY, VOLUME 62, NUMBER 1 (SUPPL) AASLD ABSTRACTS 1095A<br />

E (clinical illness, with anti-HEV IgM +ve) a year ago, when<br />

their unit was affected by an outbreak (n=67), (B) other soldiers<br />

in the unit who did not have symptomatic hepatitis (n=133),<br />

and (C) soldiers in another unit located elsewhere in the city,<br />

which was not affected by the outbreak (n=196). All sera were<br />

tested for anti-HEV IgG using 3 commercial assays (Wantai<br />

[W], China; DSI [D], Italy; and MP Biomedical [M], Singapore);<br />

the manufacturers’ protocols were followed. Results: In<br />

each group, assay W had the highest sensitivity (Table). After<br />

excluding indeterminate results, which were most common with<br />

assay M, the 3 assays showed positive concordant results in<br />

55, 16 and 15 sera, and negative concordant results in 2, 75<br />

and 133 sera, in groups A, B and C, respectively. Discordant<br />

results were found in 10, 30 and 36 sera. Using positive results<br />

in ≥2 assays as the criterion-standard, the sensitivity rates of<br />

assays W, D and M were 100%, 100%, and 87%, respectively<br />

in group A; 100%, 95% and 47% in group B; and 97%,<br />

94% and 58% in group C. Similarly, using negative results<br />

in ≥2 assays as the criterion-standard, the specificity rates of<br />

assays W, D and M were 75%, 75%, and 100%, respectively<br />

in group A; 96%, 99% and 95% in group B; and 92%, 100%<br />

and 95% in group C. Overall assays W and D had good concordance<br />

(97%, 95% and 91% in A, B and C). Conclusion: Of<br />

the three assays, W and D had a higher sensitivity and high<br />

degree of concordance with each other. In comparison, assay<br />

M was less sensitive and had less concordance with the other<br />

two assays. Also, assay M had more indeterminate test results.<br />

These data indicate that assays W and D may be preferred<br />

over assay M for anti-HEV seroprevalence <strong>studies</strong>.<br />

Results with the three serological assays<br />

Indet. = Indeterminate<br />

Disclosures:<br />

The following authors have nothing to disclose: Rakesh Aggarwal, Amit Goel,<br />

Gurdeep Singh<br />

1818<br />

Hepatitis C Virus (HCV) Prevalence among People who<br />

Inject Drugs (PWIDs) in Switzerland<br />

Francesco Negro 1 , Philip Bruggmann 2 , Sarah Blach 3 , Pierre<br />

Deltenre 4 , Jan Fehr 5 , Roger Kouyos 5 , Daniel Lavanchy 6 , Beat Mullhaupt<br />

7 , Homie Razavi 3 , Patrick Schmid 8 , David Semela 9 , Martin<br />

Stoeckle 10 , Andri Rauch 11 ; 1 Gastroenterology, Hepatology and<br />

Clinical pathology, University Hospitals, Geneva-14, Switzerland;<br />

2 ARUD Center for addiction medicine, Zurich, Switzerland; 3 Center<br />

for Disease Analysis, Lousville, CO; 4 Gastroenterology and<br />

hepatology, University Hospital, Lausanne, Switzerland; 5 Infectious<br />

Diseases & Hospital Epidemiology, University Hospital, Zurich,<br />

Switzerland; 6 Consultant, Denges, Switzerland; 7 Gastroenterology<br />

and hepatology, University Hospital, Zurich, Switzerland;<br />

8 Infectious diseases, Cantonal Hospital, St Gallen, Switzerland;<br />

9 Gastroenterology, Cantonal Hospital, St. Gallen, Switzerland;<br />

10 Infectious Diseases & Hospital Epidemiology, University Hospital,<br />

Basel, Switzerland; 11 Infectious diseases, University Hospital,<br />

Berne, Switzerland<br />

Background - In Switzerland, HCV among PWIDs has been<br />

decreasing due to active harm reduction efforts and an aging<br />

population (average age – 44 yrs). Expert consensus and estimates<br />

from the Swiss Federal Office of Public Health suggest<br />

that there are between 8,000 and 12,000 active PWIDs in<br />

Switzerland, and that 42% (27%-58%) of PWIDs are HCV<br />

infected. In addition, an estimated 17,000 – 25,700 individuals<br />

were enrolled in opioid substitution therapy (OST) and<br />

1,598 in heroin substitution therapy (HeGeBe) with 300,000<br />

syringes distributed monthly in 2012. Among individuals on<br />

OST and HeGeBe, an estimated 27.4% and 54%, respectively,<br />

continued to inject while on treatment. Understanding HCV<br />

transmission dynamics among high-risk populations requires<br />

robust epidemiological data and country-specific mathematical<br />

modeling to assess the potential impact of new HCV treatment<br />

strategies. Recent therapeutic advances promise greater convenience<br />

(oral therapies) with higher efficacy (>90% sustained<br />

viral response) and shorter duration of treatment. Methods -<br />

HCV transmission was modeled using cohorts to track HCV<br />

incidence and prevalence among PWIDs in the general population,<br />

as well as active PWIDs enrolled in OST and/or needle<br />

exchange programs (NEP). Model assumptions were derived<br />

from published literature and expert consensus. The relative<br />

impact of increasing treatment among PWIDs was considered,<br />

including the annual number needed to treat in order to reduce<br />

the HCV-infected PWID population by 2030. Results - If the<br />

current transmission paradigm continues, there are projected<br />

to be 3,150 HCV infected PWIDs in 2030. Annually treating<br />

45 HCV-infected PWIDs (1% of HCV-infected PWID population<br />

in 2014) resulted in an 11% reduction in HCV-infected<br />

PWIDs by 2030, while annual treatment of 200 PWIDs (4.5%<br />

of 2014 population) resulted in a reduction of over 50% by<br />

2030. Treating 322 PWIDs annually (7.5% of 2014 population)<br />

resulted in a >90% reduction in HCV-infected PWIDs by<br />

2030. Targeting treatment to PWIDs engaged in OST and NEP<br />

provided the greatest reduction in prevalence for the number of<br />

individuals treated. To achieve a 1-person reduction in overall<br />

prevalence by 2030, it was necessary to treat 1.6 PWIDs in<br />

OST/NEP as compared with 3.4 PWIDs in the general population.<br />

Conclusions - Treating a relatively small number of PWIDs<br />

results in substantial decreases in the HCV infected PWID population<br />

by 2030. Additionally, the impact of treatment is higher<br />

among PWIDs engaged in harm reduction programs. These<br />

data support implementation of a screening and treatment strategy<br />

among PWIDs, and particularly among PWIDs engaged<br />

in OST and NEP.<br />

Disclosures:<br />

Francesco Negro - Advisory Committees or Review Panels: Bristol-Myers Squibb,<br />

MSD, Gilead, AbbVie; Grant/Research Support: Gilead<br />

Philip Bruggmann - Advisory Committees or Review Panels: Merck, Gilead, BMS,<br />

Abbvie, BMS; Grant/Research Support: BMS, Merck, Janssen, Gilead, Abbvie;<br />

Speaking and Teaching: BMS<br />

Sarah Blach - Employment: Center for Disease Analysis<br />

Pierre Deltenre - Consulting: Abbvie, Gilead, BMS; Grant/Research Support:<br />

Abbvie, Gilead, BMS, Janssen, MSD; Speaking and Teaching: Abbvie, Gilead,<br />

BMS<br />

Beat Mullhaupt - Consulting: MSD, Novartis, MSD, Janssen; Grant/Research<br />

Support: Bayer, Gillead<br />

Homie Razavi - Management Position: Center for Disease Analysis<br />

Andri Rauch - Advisory Committees or Review Panels: Gilead Sciences, Abbvie,<br />

MSD, Janssen Cilag<br />

The following authors have nothing to disclose: Jan Fehr, Roger Kouyos, Daniel<br />

Lavanchy, Patrick Schmid, David Semela, Martin Stoeckle

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