Lippi Giuseppe, Henry Brandon M, Mattiuzzi Camilla
Section of Clinical Biochemistry, University of Verona, Ospedale Policlinico GB Rossi, 37134 Verona, Italy.
Clinical Laboratory, Division of Nephrology & Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
Diagnostics (Basel). 2025 Jan 30;15(3):323. doi: 10.3390/diagnostics15030323.
Laboratory testing has played a pivotal role throughout the coronavirus disease 2019 (COVID-19) pandemic, exemplifying the importance of in vitro diagnostics in addressing public health threats posed by outbreaks of infectious diseases. This article aims to present key insights from our expertise, derived from evidence gathered during the COVID-19 pandemic, to inform strategies for managing future infectious challenges. Current scientific evidence underscores that patient sample testing not only allows to diagnose an acute severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, but also supports outbreak prediction, improved control measures, anticipation of pressure on the healthcare system, mitigation of adverse clinical outcomes, and early detection of emerging SARS-CoV-2 variants. Additionally, wastewater monitoring has emerged as a powerful tool for forecasting disease burden, including both prevalence and severity. Collectively, these findings underscore the value of diagnostic testing and wastewater surveillance in guiding healthcare planning and optimizing resource allocation during the COVID-19 pandemic, offering a valid framework to be applied to future public health threats, especially to any potential outbreak of "Disease X" that may emerge in the future.
在2019冠状病毒病(COVID-19)大流行期间,实验室检测发挥了关键作用,体现了体外诊断在应对传染病爆发所构成的公共卫生威胁方面的重要性。本文旨在介绍我们基于COVID-19大流行期间收集的证据所积累的专业知识得出的关键见解,为应对未来的感染挑战提供策略参考。当前的科学证据强调,对患者样本进行检测不仅有助于诊断严重急性呼吸综合征冠状病毒2(SARS-CoV-2)急性感染,还能支持疫情预测、改进防控措施、预估医疗系统压力、减轻不良临床后果以及早期发现新出现的SARS-CoV-2变体。此外,废水监测已成为预测疾病负担(包括发病率和严重程度)的有力工具。总体而言,这些发现凸显了诊断检测和废水监测在指导COVID-19大流行期间医疗规划和优化资源分配方面的价值,为应用于未来公共卫生威胁(尤其是未来可能出现的任何“X疾病”潜在疫情)提供了一个有效的框架。