Evidence map›Paper›PMID 40990742›Full record

ArticleRevista da Associacao Medica Brasileira (1992)2025

Anti-hepatitis C virus threshold value in predicting hepatitis C virus viremia in hemodialysis patients.

Vahibe Aydın Sarıkaya, Uğur Ayan, Sebahat Aksaray, Selami Erdinç, Burak Sarıkaya, Recep Balık, Seniha Şenbayrak, Serpil Erol, Asuman İnan, Nurgül Ceran

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Article in Revista da Associacao Medica Brasileira (1992), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Vahibe Aydın SarıkayaHaydarpaşa Numune Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology - Istanbul, Turkey.ORCID http://orcid.org/0009-0002-9952-1721
Uğur AyanGöztepe Prof. Dr. Süleyman Yalçın City Hospital, Department of Medical Microbiology, ISLAB-2 Regional Laboratory - Istanbul, Turkey.ORCID http://orcid.org/0000-0002-6652-8145
Sebahat AksarayHaydarpaşa Numune Training and Research Hospital, Department of Medical Microbiology - Istanbul, Turkey.ORCID http://orcid.org/0000-0002-0552-1337
Selami ErdinçHaydarpaşa Numune Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology - Istanbul, Turkey.ORCID http://orcid.org/0009-0009-1186-1280
Burak SarıkayaUniversity of Health Sciences, Sultan 2. Abdulhamid Han Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology - Istanbul, Turkey.ORCID http://orcid.org/0000-0002-0026-1927
Recep BalıkHaydarpaşa Numune Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology - Istanbul, Turkey.ORCID http://orcid.org/0000-0003-2942-2525
Seniha ŞenbayrakHaydarpaşa Numune Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology - Istanbul, Turkey.ORCID http://orcid.org/0000-0002-4983-6613
Serpil ErolHaydarpaşa Numune Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology - Istanbul, Turkey.ORCID http://orcid.org/0000-0001-5655-3665
Asuman İnanHaydarpaşa Numune Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology - Istanbul, Turkey.ORCID http://orcid.org/0000-0002-6182-1262
Nurgül CeranHaydarpaşa Numune Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology - Istanbul, Turkey.ORCID http://orcid.org/0000-0002-6886-8266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHepatitis C virus prevalence is higher in hemodialysis patients than in the general population. It is recommended that patients who are detected to be anti-hepatitis C virus seropositive should be dialyzed in separate machines. In patients requiring urgent hemodialysis treatment, anti-hepatitis C virus seropositivity may cause confusion and delay in dialysis sessions.

methodsThe aim of the study was to determine the most appropriate signal-to-cutoff value to predict hepatitis C virus viremia in hemodialysis patients and to evaluate the effect of genotype differences. A total of 12,280 anti-hepatitis C virus results from hemodialysis patients between 2021 and 2024 were examined.

resultsThe mean age of 563 patients included in the study was 57 years, and 330 (58.6%) were male. Of the 563 patients, 68 (12.07%) were true hepatitis C virus patients. The mean age of hepatitis C virus-ribonucleic acid(+) patients was higher than that of the hepatitis C virus-ribonucleic acid(-) group (p<0.018). Anti-hepatitis C virus signal-to-cutoff value was >1 in all true hepatitis C virus patients. Hepatitis C virus-ribonucleic acid was accepted as the gold standard to determine the best threshold value in receiver operating characteristic curve analysis, and the most appropriate signal-to-cutoff value was found to be 2.23. Sensitivity was 98.5%, specificity was 87.1%, positive predictive value was 51.2%, and negative predictive value was 99.8%. 49 (85.96%) of the patients were identified as genotype(-1; the most common subtype was genotype-1b (n=43).

conclusionAnti-hepatitis C virus negativity is a reliable result in hemodialysis patients. If anti-hepatitis C virus signal-to-cutoff ≥2.23 is detected, confirmation by direct hepatitis C virus-ribonucleic acid testing is recommended. In hemodialysis patients with anti-hepatitis C virus signal-to-cutoff values between 1 and 2.23, false positivity should be considered first, and confirmatory tests should be performed if anti-hepatitis C virus is reactive in a second sample.

Indexed as

HepacivirusHepatitis CHepatitis C AntibodiesRenal DialysisViremiaAdultAgedFemaleGenotypeHumansMaleMiddle AgedPredictive Value of TestsRNA, ViralROC CurveSensitivity and SpecificityHepatitis C AntibodiesRNA, Viral

Identifiers

PMID40990742
PMCPMC12452162

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.