Respiratory Viral Testing Rate Patterns in Young Children Attending Tertiary Care Across Western Australia: A Population-Based Birth Cohort Study

IF 4.3 4区 医学 Q1 INFECTIOUS DISEASES
Belaynew W. Taye, Mohinder Sarna, Huong Le, Avram Levy, Cara Minney-Smith, Peter Richmond, Robert Menzies, Christopher C. Blyth, Hannah C. Moore
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Abstract

Background

An understanding of viral testing rates is crucial to accurately estimate the pathogen-specific hospitalisation burden. We aimed to estimate the patterns of testing for respiratory syncytial virus (RSV), influenza virus, parainfluenza virus (PIV) and human metapneumovirus (hMPV) by geographical location, age and time in children <5 years old in Western Australia.

Methods

We conducted a population-based cohort study of children born between 1 January 2010 and 31 December 2021, utilising linked administrative data incorporating birth and death records, hospitalisations and respiratory viral surveillance testing records from state-wide public pathology data. We examined within-hospital testing rates using survival analysis techniques and identified independent predictors of testing using binary logistic regression.

Results

Our dataset included 46,553 laboratory tests for RSV, influenza, PIV, or hMPV from 355,021 children (52.5% male). Testing rates declined in the metropolitan region over the study period (RSV testing in infants: from 242.11/1000 child-years in 2012 to 155.47/1000 child-years in 2018) and increased thereafter. Conversely, rates increased in non-metropolitan areas (e.g., RSV in Goldfields: from 364.92 in 2012 to 504.37/1000 child-years in 2021). The strongest predictors of testing were age <12 months (adjusted odds ratio [aOR] = 2.25, 95% CI 2.20–2.31), preterm birth (<32 weeks: aOR = 2.90, 95% CI 2.76–3.05) and remote residence (aOR = 0.77, 95% CI 0.73–0.81).

Conclusion

These current testing rates highlight the potential underestimation of respiratory virus hospitalisations by routine surveillance and the need for estimation of the true burden of respiratory virus admissions.

Abstract Image

西澳大利亚州三级医疗机构就诊幼儿的呼吸道病毒检测率模式:基于人口的出生队列研究》(Population-Based Birth Cohort Study)。
背景:了解病毒检测率对于准确估计特定病原体造成的住院负担至关重要。我们旨在按地理位置、年龄和时间估算儿童呼吸道合胞病毒(RSV)、流感病毒、副流感病毒(PIV)和人类偏肺病毒(hMPV)的检测模式:我们对 2010 年 1 月 1 日至 2021 年 12 月 31 日期间出生的儿童进行了一项基于人群的队列研究,利用的是包含出生和死亡记录、住院和全州公共病理数据中的呼吸道病毒监测检测记录在内的关联管理数据。我们利用生存分析技术研究了院内检测率,并利用二元逻辑回归确定了检测的独立预测因素:我们的数据集包括来自 355,021 名儿童(52.5% 为男性)的 46,553 次 RSV、流感、PIV 或 hMPV 实验室检测。在研究期间,大都会地区的检测率有所下降(婴儿RSV检测率:从2012年的242.11/1000儿童年降至2018年的155.47/1000儿童年),之后又有所上升。相反,非大都会地区的检测率则有所上升(例如,金地地区的 RSV 检测率:从 2012 年的 364.92 升至 2021 年的 504.37/1000)。预测检测率最高的因素是年龄 结论:目前的检测率凸显了常规监测可能低估了呼吸道病毒住院病例,需要对呼吸道病毒住院病例的真实负担进行估算。
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来源期刊
CiteScore
7.20
自引率
4.50%
发文量
120
审稿时长
6-12 weeks
期刊介绍: Influenza and Other Respiratory Viruses is the official journal of the International Society of Influenza and Other Respiratory Virus Diseases - an independent scientific professional society - dedicated to promoting the prevention, detection, treatment, and control of influenza and other respiratory virus diseases. Influenza and Other Respiratory Viruses is an Open Access journal. Copyright on any research article published by Influenza and Other Respiratory Viruses is retained by the author(s). Authors grant Wiley a license to publish the article and identify itself as the original publisher. Authors also grant any third party the right to use the article freely as long as its integrity is maintained and its original authors, citation details and publisher are identified.
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