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Annals of Hepatology
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Inicio Annals of Hepatology P-36 RESULTS OF AN AUTOMATIC ALERT SYSTEM FROM MICROBIOLOGY TO LINK DIAGNOSIS TO...
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Vol. 28. Núm. S1.
Abstracts of the 2022 Annual Meeting of the ALEH
(marzo 2023)
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Vol. 28. Núm. S1.
Abstracts of the 2022 Annual Meeting of the ALEH
(marzo 2023)
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P-36 RESULTS OF AN AUTOMATIC ALERT SYSTEM FROM MICROBIOLOGY TO LINK DIAGNOSIS TO TREATMENT IN PATIENTS WITH CHRONIC HEPATITIS C
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Carlos Alventosa Mateu1, María Dolores Ocete Mochón2, Juan José Urquijo Ponce1, Mercedes Latorre Sánchez1, Inmaculada Castelló Miralles1, Miguel García Deltoro3, Enrique Ortega González4, María José Bonet Igual5, Concepción Gimeno Cardona2, Moisés Diago Madrid1
1 Hepatology Unit. Gastroenterology Department. University General Hospital Consortium of Valencia. Valencia, Spain
2 Microbiology Department. University General Hospital Consortium of Valencia. Valencia, Spain
3 Infectious Diseases Department. University General Hospital Consortium of Valencia. Valencia Spain
4 Foundation of the University General Hospital Consortium of Valencia. Valencia, Spain
5 Picassent Penitentiary Medical Department. Valencia, Spain
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Vol. 28. Núm S1

Abstracts of the 2022 Annual Meeting of the ALEH

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Introduction and Objectives

Strategies to simplify the care circuit for patients with the hepatitis C virus (HCV) are vital to achieving its eradication. To achieve this aim, we introduced an electronic system of HCV serology detection to link diagnosis with specialized assistance in order to minimize the loss of patients.

Materials and Methods

A retrospective single-center study of HCV patients developed by Microbiology Department from February 15th, 2020, to December 15th, 2021. In the event of a positive HCV antibody, the anti-HCV core was directly measured by the electronic system. If positive, an encrypted e-mail with the patient data was automatically sent to HCV specialized physicians, who, after evaluating the benefits of antiviral therapy in each patient, contacted them by phone for an appointment. In the first face-to-face consultation FibroScan®, HCV genotype and viral load measurement were performed, and antiviral therapy was prescribed. Patient diagnosis origin and public health characteristics were recorded. We analyzed the association between antiviral therapy prescription and these variables. Statistical significance was set at p˂0.005.

Results

Of 171 patients identified, with a mean age of 59.6 ± 15.9, 61.5 % of males and 81.2% of Spanish nationals. HCV origin from out-of-hospital settings predominated (50.9%, 87/171), particularly primary care (28.7%), penitentiary (11.6%) and addiction units (8.2%). In all, 43.3% (74/171) were aware of their diagnosis, but 64.9% (48/74) hadn't previously received antiviral therapy. Genotype 1 predominated. We recorded 19.4% (20/103) of patients F3 fibrosis and 27.2% (26/103) F4.

Finally, 58.5% (100/171) attended a physician consultation. They were all treated with pangenotypic interferon-free therapy. A 100% rate of sustained viral response was achieved. The main reasons for not being treated were high comorbidity (43.7%,31/71), not located (23.9%, 17/71), patient refusal to treatment (23.9%,17/71) and death (8.5%,6/71). The sole association found between antiviral therapy and patient variables was that of comorbidities with being untreated (OR=7.14, p˂0.001).

Conclusions

Our alert system is simple and easily reproducible. It allows for minimizing the loss of HCV patients, even considering it was performed during the COVID-19 pandemic.

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