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1100A AASLD ABSTRACTS HEPATOLOGY, October, 2015<br />

Disclosures:<br />

Andrew M. Hill - Consulting: Janssen<br />

David R. Nelson - Advisory Committees or Review Panels: Merck; Grant/Research<br />

Support: Abbot, BMS, Beohringer Ingelheim, Gilead, Genentech, Merck, Bayer,<br />

Idenix, Vertex, Jansen<br />

Michael W. Fried - Consulting: Merck, Abbvie, Janssen, Bristol Myers Squibb,<br />

Gilead; Grant/Research Support: Merck, AbbVie, Janssen, Bristol Myers Squibb,<br />

Gilead; Patent Held/Filed: HCCPlex<br />

The following authors have nothing to disclose: Teri Roberts, Valerianna Amorosa,<br />

Kamron Pourmand, Gail Matthews, Graham Cooke, Harun Khan, Janice<br />

Main, Ashley Brown, Joy A. Peter, Jennifer Cohn, Camilla S. Graham<br />

FRY graph<br />

1827<br />

Comparative analysis of online patient education<br />

resources relating to Hepatitis C<br />

Rishabh Gulati, Mohammad Nawaz, Sowjanya Kanna, Nikolaos<br />

Pyrsopoulos; Medicine, Rutgers New Jersey Medical School, Newark,<br />

NJ<br />

Introduction: Role of the Internet is ever-increasing in the present<br />

era as the first source of medical information. Imprecise,<br />

partial comprehension of textual information limits its efficacy<br />

in communicating the disease process to the patient. Here, we<br />

report a comparative analysis of readability of patient-centered<br />

text pertaining to Hepatitis C available online. Methods: In<br />

March 2015, patient-centered information from websites of<br />

American College of Gastroenterology (ACG), Centers for Disease<br />

Control & Prevention (CDC), American Liver Foundation<br />

(ALF), Mayo Clinic, National Institutes of Health (NIH), Uptodate,<br />

HCVAdvocate & WebMD was downloaded & processed<br />

in Microsoft Word. All data were formatted & categorized<br />

into subsections. Proper nouns, copyright information & certain<br />

medical terms were omitted to limit bias. Text was then analyzed<br />

for their specific level of readability using 7 quantitative<br />

scales: Flesch Reading Ease, Flesch–Kincaid level, Gunning fog<br />

index, SMOG, Coleman-Liau, FRY & New Dale–Chall using<br />

Readability Studio software. Results: Modified documents had<br />

a mean grade level that was 1 less than their original counterparts.<br />

ACG had the highest mean grade level of readability<br />

of it’s content (13.4±0.61), with the lowest being for WebMD<br />

(8.4±0.40). When compared with all subsets, the treatment<br />

subsection had the highest mean grade level (12.2±0.85).<br />

ANOVA analysis showed that there were significant differences<br />

in the grade level depending on the source website (p <<br />

0.05), however there was no significant impact by subsection<br />

when compared with all readability tests. Post hoc Turkey HSD<br />

Analysis showed ACG was written at a significantly higher<br />

grade level than other websites. The treatment section was usually<br />

the most difficult section written when compared with other<br />

subsections (p < 0.05). Conclusion: Patient material is above<br />

the recommended 6 th grade level across all websites. Treatment<br />

section is often the most difficult section to comprehend.<br />

Greater emphasis on clear & simple language is warranted to<br />

increase quality & comprehension of online patient education<br />

resources.<br />

Disclosures:<br />

Nikolaos Pyrsopoulos - Advisory Committees or Review Panels: GILEAD, BMS,<br />

ABBVIE, VITAL THERAPIES, Quest; Grant/Research Support: ABBVIE<br />

The following authors have nothing to disclose: Rishabh Gulati, Mohammad<br />

Nawaz, Sowjanya Kanna<br />

1828<br />

Benefits of Antiviral Treatment and Predictors of Subsequent<br />

Hepatocellular Carcinoma Risk in Chronic Hepatitis<br />

C Patients with or without Sustained Virological<br />

Response to Peg-interferon plus Ribavirin Therapy<br />

Mei-Hsuan Lee 1 , Sheng-Nan Lu 2 , Ming-Lung Yu 3 , Cheng-Yuan<br />

Peng 4 , I-Shyan Sheen 5 , Chen-Hua Liu 6 , Jia-Horng Kao 6 , Wan-Long<br />

Chuang 3 , Hwai-I Yang 7 , Gilbert L’Italien 8 , Yong Yuan 9 , Chien-Jen<br />

Chen 7 ; 1 National Yang-Ming University, Institute of Clinical Medicine,<br />

Taipei, Taiwan; 2 Division of Hepatogastroenterology, Department<br />

of Internal Medicine, Kaohsiung Chang-Gung Memorial<br />

Hospital and Chang Gung University College of Medicine, Kaohsiung,<br />

Taiwan; 3 Hepatobiliary Division, Department of Internal Medicine<br />

and Hepatitis Center, Kaohsiung Medical University Hospital<br />

and Kaohsiung Medical University college of Medicine, Kaohsiung,<br />

Taiwan; 4 Division of Hepatogastroenterology, Department of<br />

Internal Medicine, China Medical University Hospital, Taichung,<br />

Taiwan; 5 Division of Hepatology, Department of Gastroenterology<br />

and Hepatology, Linkou Medical Center, Chang Gung Memorial<br />

Hospital, Tao-Yuan, Taiwan; 6 Graduate Institute of Clinical Medicine,<br />

Department of Internal Medicine and Hepatitis Research Center,<br />

National Taiwan University College of Medicine and Hospital,<br />

Taipei, Taiwan; 7 Genomics Research Center, Academia Sinica,<br />

Taipei, Taiwan; 8 Yale University School of Medicine, New Haven,<br />

CT; 9 Global Health Economics and Outcome Research, Bristol-Myers<br />

Squibb, Princeton, NJ<br />

Background & Aims: The aims of this large follow-up study<br />

were to evaluate the antiviral treatment efficacy in chronic hepatitis<br />

C patients by two distinctive cohorts, and to investigate<br />

the predictability of post-treatment seromarkers for HCC risk<br />

stratified by patients with sustained virological response (SVR)<br />

and non-SVR to antiviral treatment. Methods: The treatment<br />

cohort included 3,133 chronic hepatitis C patients treated with<br />

peg-interferon plus ribavirin (PR) for 6-12 months. In addition,<br />

the untreated cohort consisted of 1,366 anti-HCV seropositives<br />

who participated in a community-based liver cancer screening.<br />

All of them were seronegative for HBsAg and free of HCC<br />

at study entry. The treated patients were followed from the<br />

date starting PR therapy whereas the untreated patients were<br />

followed from the date of enrollment. Both cohorts were followed<br />

to the date of HCC diagnosis, death, or the end of<br />

2012, whichever came first. The Cox’s proportional hazards<br />

model was utilized to estimate the adjusted hazard ratio (HR)<br />

and 95% confidence interval (CI) associated with HCC by<br />

comparing patients with or without antiviral treatment. Among

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