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在英国、荷兰、爱尔兰和库拉索岛3周龄至5岁儿童急性肝炎新疫情期间利用实验室检测结果进行监测:观察性队列研究。

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.

作者信息

Swets Maaike C, Kerr Steven R, MacKenna Brian, Fisher Louis, van Wijnen Merel, Brandwagt Diederik, Schenk Paul W, Fraaij Pieter, Visser Leonardus G, Bacon Sebastian, Mehrkar Amir, Nichol Alistair, Twomey Patrick, Matthews Philippa C, Semple Malcolm G, Groeneveld Geert H, Goldacre Ben, Jones Iain, Baillie J Kenneth

机构信息

Department of Infectious Diseases, Leiden University Medical Center, Leiden University, Albinusdreef 2, Leiden, Netherlands.

Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom.

出版信息

JMIR Public Health Surveill. 2024 Dec 23;10:e55376. doi: 10.2196/55376.

DOI:10.2196/55376
PMID:39864403
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11770233/
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.

摘要

背景

2022年3月,多个国家报告了不明原因儿童肝炎病例令人担忧的增加情况。病例定义为16岁及以下儿童血清转氨酶(天冬氨酸转氨酶[AST]或丙氨酸转氨酶[ALT])>500 U/L的急性肝炎。我们探索了一种简单的联合数据分析方法,以使用常规保存的数据寻找未报告病例的证据。我们进行了一项实用调查,以分析AST或ALT升高的住院儿童比例随时间的变化。此外,我们研究了使用常规收集的临床实验室结果来检测或跟踪传染病暴发的可行性。

目的

我们探索了一种简单的联合数据分析方法,以使用常规保存的数据寻找未报告病例的证据。

方法

我们为医院提供了一个简单的计算工具,以使实验室能够共享非保密的汇总级数据。收集了过去10年所有年龄组AST和ALT测量的汇总统计数据。如果ALT或AST>200 U/L,则认为测量值升高。比较了报告肝炎病例的感兴趣时间段(2021年12月1日至2022年8月31日)和大流行前基线期(2012年1月1日至2019年12月31日)3周龄至5岁儿童AST或ALT检测升高率。我们计算了一个z分数,该分数衡量了感兴趣时间段内ALT或AST升高率与基线期相比高或低的程度,针对3周龄至5岁儿童。

结果

我们共享供本地使用的简单软件工具的方法实现了快速的联合数据分析。英国、荷兰、爱尔兰和库拉索岛的34家医院被要求提供汇总数据,30家(88%)提交了数据。对于所有地点的数据汇总,感兴趣时间段内AST或ALT测量值升高率并未升高(z分数=-0.46;P=0.64)。各地区的结果不一致,荷兰AST或ALT值升高率较高(z分数=4.48;P<0.001),这是由乌得勒支的一个单一中心的结果驱动的。我们未观察到同期初级保健活动或检测结果有任何明显变化迹象。

结论

医院实验室每天收集大量可能可用于疾病监测的数据,但目前这些数据未得到最佳利用。使用非保密的汇总级实验室数据共享进行联合分析是成功、安全且高效的。该方法作为未来疫情大流行监测工具具有潜力。我们的研究结果并未表明幼儿中存在更广泛的轻度肝炎病例暴发,尽管荷兰当地AST或ALT值有所升高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bfd/11770233/d3bb0a29fcf3/publichealth-v10-e55376-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bfd/11770233/3e14458bcad7/publichealth-v10-e55376-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bfd/11770233/7425154d4147/publichealth-v10-e55376-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bfd/11770233/d3bb0a29fcf3/publichealth-v10-e55376-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bfd/11770233/3e14458bcad7/publichealth-v10-e55376-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bfd/11770233/7425154d4147/publichealth-v10-e55376-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bfd/11770233/7338608bcfbf/publichealth-v10-e55376-g003.jpg
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