Evidence map›Paper›PMID 39864403›Full record

Observational studyJMIR public health and surveillance2024

Using Laboratory Test Results for Surveillance During a New Outbreak of Acute Hepatitis in 3-Week- to 5-Year-Old Children in the United Kingdom, the Netherlands, Ireland, and Curaçao: Observational Cohort Study.

Maaike C Swets, Steven R Kerr, Brian MacKenna, Louis Fisher, Merel van Wijnen, Diederik Brandwagt, Paul W Schenk, Pieter Fraaij, Leonardus G Visser, Sebastian Bacon and 10 more

Abstract readObservational Study
In one paragraph

Observational study in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Maaike C SwetsDepartment of Infectious Diseases, Leiden University Medical Center, Leiden University, Albinusdreef 2, Leiden, Netherlands.ORCID 0000-0003-0901-9560
Steven R KerrRoslin Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-3643-7859
Brian MacKennaBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-3786-9063
Louis FisherBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-0295-3812
Merel van WijnenDepartment of Clinical Chemistry, Meander Medical Centre, Amersfoort, Netherlands.ORCID 0000-0002-6676-1238
Diederik BrandwagtCentre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands.ORCID 0000-0003-4895-1756
Paul W SchenkDepartment of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden University, Leiden, Netherlands.ORCID 0000-0001-8155-9073
Pieter FraaijDepartment of Pediatrics, Erasmus Medical Center, Rotterdam, Netherlands.ORCID 0009-0000-2461-0573
Leonardus G VisserDepartment of Infectious Diseases, Leiden University Medical Center, Leiden University, Albinusdreef 2, Leiden, Netherlands.ORCID 0000-0002-3600-9782
Sebastian BaconBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-6354-3454
Amir MehrkarBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-2098-1278
Alistair NicholUniversity College Dublin-Clinical Research Centre, St Vincent's University Hospital, Dublin, Ireland.ORCID 0000-0002-4689-1238
Patrick TwomeyUniversity College Dublin-Clinical Research Centre, St Vincent's University Hospital, Dublin, Ireland.ORCID 0000-0001-7284-4673
Philippa C MatthewsThe Francis Crick Institute, London, United Kingdom.ORCID 0000-0002-4036-4269
ISARIC4C Hepatitis Study Groupsee Acknowledgments.
Malcolm G SempleInstitute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, United Kingdom.ORCID 0000-0001-9700-0418
Geert H GroeneveldDepartment of Infectious Diseases, Leiden University Medical Center, Leiden University, Albinusdreef 2, Leiden, Netherlands.ORCID 0000-0001-6529-1396
Ben GoldacreBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-5127-4728
Iain JonesBiochemistry Laboratory, Queen Elizabeth University Hospital, Glasgow, United Kingdom.ORCID 0000-0002-8217-5052
J Kenneth BaillieRoslin Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-5258-793X

Funding

Biotechnology and Biological Sciences Research Council BB/P013732/1Biotechnology and Biological Sciences Research Council BB/P013759/1Medical Research Council MC_PC_20059Medical Research Council MR/V015737/1Medical Research Council MR/W016729/1Wellcome TrustWellcome Trust 222097/Z/20/ZWellcome Trust 223164/Z/21/Z
6 · The paper itself

Abstract

Background: In March 2022, a concerning rise in cases of unexplained pediatric hepatitis was reported in multiple countries. Cases were defined as acute hepatitis with serum transaminases >500 U/L (aspartate transaminase [AST] or alanine transaminase [ALT]) in children aged 16 years or younger. We explored a simple federated data analytics method to search for evidence of unreported cases using routinely held data. We conducted a pragmatic survey to analyze changes in the proportion of hospitalized children with elevated AST or ALT over time. In addition, we studied the feasibility of using routinely collected clinical laboratory results to detect or follow-up the outbreak of an infectious disease. Objective: We explored a simple federated data analytics method to search for evidence of unreported cases using routinely held data. Methods: We provided hospitals with a simple computational tool to enable laboratories to share nondisclosive summary-level data. Summary statistics for AST and ALT measurements were collected from the last 10 years across all age groups. Measurements were considered elevated if ALT or AST was >200 U/L. The rate of elevated AST or ALT test for 3-week- to 5-year-olds was compared between a period of interest in which cases of hepatitis were reported (December 1, 2021, to August 31, 2022) and a prepandemic baseline period (January 1, 2012, to December 31, 2019). We calculated a z score, which measures the extent to which the rate for elevated ALT or AST was higher or lower in the period of interest compared to a baseline period, for the 3-week- to 5-year-olds. Results: Our approach of sharing a simple software tool for local use enabled rapid, federated data analysis. A total of 34 hospitals in the United Kingdom, the Netherlands, Ireland, and Curaçao were asked to contribute summary data, and 30 (88%) submitted their data. For all locations combined, the rate of elevated AST or ALT measurements in the period of interest was not elevated (z score=-0.46; P=.64). Results from individual regions were discordant, with a higher rate of elevated AST or ALT values in the Netherlands (z score=4.48; P<.001), driven by results from a single center in Utrecht. We did not observe any clear indication of changes in primary care activity or test results in the same period. Conclusions: Hospital laboratories collect large amounts of data on a daily basis that can potentially be of use for disease surveillance, but these are currently not optimally used. Federated analytics using nondisclosive, summary-level laboratory data sharing was successful, safe, and efficient. The approach holds potential as a tool for pandemic surveillance in future outbreaks. Our findings do not indicate the presence of a broader outbreak of mild hepatitis cases among young children, although there was an increase in elevated AST or ALT values locally in the Netherlands.

Indexed as

Disease OutbreaksHepatitisPopulation SurveillanceAcute DiseaseAlanine TransaminaseAspartate AminotransferasesChild, PreschoolCohort StudiesFemaleHumansInfantInfant, NewbornIrelandMaleNetherlandsUnited KingdomAlanine TransaminaseAspartate Aminotransferasesacute hepatitisall age groupschildrendata analyticsdisease surveillancefederated analyticshospitalIreland CuracaolaboratoryNetherlandsoutbreak detectionoutbreakspandemic preparednesspandemic surveillancepediatric hepatitispre-pandemicpublic healthsingle centerUnited Kingdom

Identifiers

PMID39864403
PMCPMC11770233

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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.