Evidence map›Paper›PMID 30645600›Full record

ArticlePloS one2019

Modeling suggests that microliter volumes of contaminated blood caused an outbreak of hepatitis C during computerized tomography.

Eyal Shteyer, Louis Shekhtman, Tal Zinger, Sheri Harari, Inna Gafanovich, Dana Wolf, Hefziba Ivgi, Rima Barsuk, Ilana Dery, Daniela Armoni and 11 more

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Trial
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Eyal ShteyerJuliet Keidan Pediatric Gastroenterology Institute, Shaare Zedek Medical Center and the Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0002-8288-1272
Louis ShekhtmanThe Program for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Loyola University Medical Center, Maywood, IL, United States of America.ORCID 0000-0001-5273-8363
Tal ZingerDepartment of Molecular Microbiology and Biotechnology, School of Molecular Cell Biology and Biotechnology, Tel-Aviv University, Tel-Aviv, Israel.ORCID 0000-0002-5580-5282
Sheri HarariDepartment of Molecular Microbiology and Biotechnology, School of Molecular Cell Biology and Biotechnology, Tel-Aviv University, Tel-Aviv, Israel.
Inna GafanovichLiver Unit, Shaare Zedek Medical Center and the Hebrew University of Jerusalem, Jerusalem, Israel.
Dana WolfClinical Virology Unit, Hadassah Hebrew University Medical Center, Jerusalem, Israel.
Hefziba IvgiLiver Unit, Shaare Zedek Medical Center and the Hebrew University of Jerusalem, Jerusalem, Israel.
Rima BarsukLiver Unit, Shaare Zedek Medical Center and the Hebrew University of Jerusalem, Jerusalem, Israel.
Ilana DeryLiver Unit, Shaare Zedek Medical Center and the Hebrew University of Jerusalem, Jerusalem, Israel.
Daniela ArmoniLiver Unit, Shaare Zedek Medical Center and the Hebrew University of Jerusalem, Jerusalem, Israel.
Mila RivkinClinical Virology Unit, Hadassah Hebrew University Medical Center, Jerusalem, Israel.
Rahul PipaliaThe Program for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Loyola University Medical Center, Maywood, IL, United States of America.
Michal Cohen EliavLiver Unit, Shaare Zedek Medical Center and the Hebrew University of Jerusalem, Jerusalem, Israel.
Yizhak SkorochodLiver Unit, Shaare Zedek Medical Center and the Hebrew University of Jerusalem, Jerusalem, Israel.
Gabriel S BreuerLiver Unit, Shaare Zedek Medical Center and the Hebrew University of Jerusalem, Jerusalem, Israel.
Ran Tur-KaspaBar-Ilan University Faculty of Medicine in the Galilee, Safed, Israel.
Yonit Weil WienerLiver Unit, Shaare Zedek Medical Center and the Hebrew University of Jerusalem, Jerusalem, Israel.
Adi SternDepartment of Molecular Microbiology and Biotechnology, School of Molecular Cell Biology and Biotechnology, Tel-Aviv University, Tel-Aviv, Israel.
Scott J CotlerThe Program for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Loyola University Medical Center, Maywood, IL, United States of America.
Harel DahariThe Program for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Loyola University Medical Center, Maywood, IL, United States of America.
Yoav LurieLiver Unit, Shaare Zedek Medical Center and the Hebrew University of Jerusalem, Jerusalem, Israel.

Funding

Collaborative Integration of HCV Molecular Virology and Mathematical ModelingR01AI078881 · NIAID · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PERELSON, ALAN S, UPRICHARD, SUSAN L. · 2011 to 2025
$7.5M
Computational discovery of effective hepatitis C intervention strategiesR01GM121600 · NIGMS · LOYOLA UNIVERSITY CHICAGO · PI BOODRAM, BASMATTEE, DAHARI, HAREL · 2017 to 2021
$2.0M
NCHHSTP CDC HHS U51 PS004607NIAID NIH HHS R01 AI078881NIGMS NIH HHS R01 GM121600
6 · The paper itself

Abstract

BACKGROUND &

aimsAcute hepatitis C (AHC) is not frequently identified because patients are usually asymptomatic, although may be recognized after iatrogenic exposures such as needle stick injuries, medical injection, and acupuncture. We describe an outbreak of AHC among 12 patients who received IV saline flush from a single multi-dose vial after intravenous contrast administration for a computerized tomography (CT) scan. The last patient to receive IV contrast with saline flush from a multi-dose vial at the clinic on the previous day was known to have chronic HCV genotype 1b (termed potential source, PS). Here we sought to confirm (via genetic analysis) the source of infection and to predict the minimal contaminating level of IV saline flush needed to transmit infectious virus to all patients.

methodsIn order to confirm the source of infection, we sequenced the HCV E1E2 region in 7 CT patients, in PS, and in 2 control samples from unrelated patients also infected with HCV genotype 1b. A transmission probabilistic model was developed to predict the contamination volume of blood that would have been sufficient to transmit infectious virus to all patients.

resultsViral sequencing showed close clustering of the cases with the PS. The transmission probabilistic model predicted that contamination of the multi-dose saline vial with 0.6-8.7 microliters of blood would have been sufficient to transmit infectious virus to all patients.

conclusionAnalysis of this unique cohort provides a new understanding of HCV transmission with respect to contaminating volumes and viral titers.

Indexed as

Disease OutbreaksDrug ContaminationAdministration, IntravenousAdolescentAdultAgedContrast MediaCross InfectionFemaleGenotypeHepacivirusHepatitis CHumansMaleModels, StatisticalNeedlesContrast MediaRNA, ViralSaline SolutionViral Envelope Proteins

Identifiers

PMID30645600
PMCPMC6333404

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Registered trials

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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.