Department of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, SC 29425, United States.
Department of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, SC 29425, United States.
Clin Biochem. 2023 Jul;117:69-73. doi: 10.1016/j.clinbiochem.2021.12.003. Epub 2021 Dec 8.
With the recent global surge of SARS-CoV-2 Delta variant, there continues to be high demand for COVID-19 diagnostic testing. Abbott ID NOW is a rapid, CLIA-waived, COVID-19 diagnostic test ideally suited for use in urgent care settings or where access to diagnostic testing is limited. In this study we describe the results of rigorous validation of ID NOW and post-implementation study of POC test utilization patterns within community hospitals and clinics. Performance of ID NOW was validated by comparison of the results from 207 consecutive, paired, specimens tested on the ID NOW and on the m2000/Alinity m platforms. Once validated, ID NOW devices were placed for clinical use at four regional hospitals and clinics. We found that the ID NOW and m2000/Alinity m positive and negative percent agreement were 94.5% (95% CI, 85.1% to 98.1%) and 99.3% (95% CI, 96.4% to 99.9%), respectively. As of August 2021, a total of 2,301 tests were performed by ID NOW at individual regional network sites. The population tested consisted of 55.5% White and 42.9% Black patients, with Black patients presenting predominantly in the hospitals, while White patients were more evenly distributed between hospital and clinic sites. Disease prevalence observed among patients tested by ID NOW (12.3%) was aligned with overall prevalence seen at regional sites (11.3%). In summary, the ID NOW test can provide rapid and accurate results in a variety of near-to-patient and POC settings. If used correctly, it could serve as a valuable diagnostic tool to enable equal access to care and improve healthcare delivery within large health network systems.
随着 SARS-CoV-2 德尔塔变异株在全球的近期激增,对 COVID-19 诊断检测的需求持续居高不下。Abbott ID NOW 是一种快速、CLIA 豁免的 COVID-19 诊断检测方法,非常适合在紧急护理环境或诊断检测受限的地方使用。在这项研究中,我们描述了对 ID NOW 进行严格验证的结果以及在社区医院和诊所中进行即时检测使用模式的实施后研究。通过比较在 ID NOW 和 m2000/Alinity m 平台上连续检测的 207 对连续样本的结果对 ID NOW 的性能进行了验证。验证后,将 ID NOW 设备放置在四家地区医院和诊所供临床使用。我们发现 ID NOW 和 m2000/Alinity m 的阳性和阴性符合率分别为 94.5%(95%CI,85.1%至 98.1%)和 99.3%(95%CI,96.4%至 99.9%)。截至 2021 年 8 月,ID NOW 在各个地区网络站点共进行了 2301 次检测。接受检测的人群中,55.5%为白人,42.9%为黑人,黑人患者主要出现在医院,而白人患者在医院和诊所的分布更为均匀。通过 ID NOW 检测的患者中观察到的疾病流行率(12.3%)与地区站点总体流行率(11.3%)一致。总之,ID NOW 检测可以在各种接近患者和即时检测的环境中提供快速准确的结果。如果使用正确,它可以作为一种有价值的诊断工具,使更多人能够平等获得护理,并改善大型医疗网络系统中的医疗服务提供。