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冲浪新冠疫情浪潮:比利时某大学医院 4 波变异新冠疫情期间住院患者的差异。

Surfing the Waves: Differences in Hospitalised COVID-19 Patients across 4 Variant Waves in a Belgian University Hospital.

机构信息

Infectiology Research Group, Infectious Diseases Department, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium.

Biostatistics and Medical Informatics Research Group, Department of Public Health, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium.

出版信息

Viruses. 2023 Feb 23;15(3):618. doi: 10.3390/v15030618.

Abstract

The unprecedented COVID-19 pandemic took the form of successive variant waves, spreading across the globe. We wanted to investigate any shift in hospitalised patients' profiles throughout the pandemic. For this study, we used a registry that collected data automatically from electronic patient health records. We compared clinical data and severity scores, using the National Institute of Health (NIH) severity scores, from all patients admitted for COVID-19 during four SARS-CoV-2 variant waves. Our study concluded that patients hospitalised for COVID-19 showed very different profiles across the four variant waves in Belgium. Patients were younger during the Alpha and Delta waves and frailer during the Omicron period. 'Critical' patients according to the NIH criteria formed the largest fraction among the Alpha wave patients (47.7%), while 'severe' patients formed the largest fraction among Omicron patients (61.6%). We discussed host factors, vaccination status, and other confounders to put this into perspective. High-quality real-life data remain crucial to inform stakeholders and policymakers that shifts in patients' clinical profiles have an impact on clinical practice.

摘要

前所未有的 COVID-19 大流行以连续变异波的形式在全球范围内传播。我们想研究整个大流行期间住院患者特征的任何变化。为此,我们使用了一个从电子患者健康记录中自动收集数据的注册处。我们比较了在 SARS-CoV-2 四个变异波期间因 COVID-19 住院的所有患者的临床数据和严重程度评分,使用了国家卫生研究院(NIH)严重程度评分。我们的研究表明,在比利时,因 COVID-19 住院的患者在四个变异波期间呈现出非常不同的特征。在 Alpha 和 Delta 波期间,患者年龄更小,而在 Omicron 期间,患者更脆弱。根据 NIH 标准,“危急”患者在 Alpha 波患者中占比最大(47.7%),而“严重”患者在 Omicron 患者中占比最大(61.6%)。我们讨论了宿主因素、疫苗接种状况和其他混杂因素,以便对此进行说明。高质量的真实数据对于告知利益相关者和决策者患者临床特征的变化对临床实践有影响仍然至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e66e/10057609/b3b862c2d790/viruses-15-00618-g001.jpg

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