View Score: An early warning score to detect possible complications among COVID-19 patients

查看评分:用于检测新冠肺炎患者可能出现的并发症的早期预警评分

阅读:1

Abstract

INTRODUCTION: Understanding pulmonary function at various phases after coronavirus disease 2019 (COVID-19) infection is critical for determining the exact pathophysiological mechanism of COVID-19. RESEARCH QUESTION: What is the correlation between spirometry indices and clinical indicators in COVID-19 patients over a 6-week follow-up? OBJECTIVES: 1) To assess deterioration or improvement in spirometry parameters including forced vital capacity (FVC), forced expiratory volume in one second (FEV(1)), and ratio FEV(1)/FVC in COVID-19 patients. 2) To study the correlation between FVC, FEV(1), and FEV(1)/FVC with oxygen saturation and clinical findings. MATERIALS AND METHODS: A prospective observational study was conducted for a 6-week period among 25, COVID-19 patients who were either asymptomatic or mildly symptomatic. Each patient received a home-use-connected spirometer-SpiroPRO(®), a pulse oximeter, and a thermometer from Briota Technologies Pvt Ltd. (BRIOTA). Patients and healthcare professionals were given training for performing spirometry twice a day as well as access to mobile apps was provided. Spirometry indices, patient symptoms, and vital statistics were used to calculate the VIEW™ score using machine learning algorithms. RESULT: The Bland-Altman plots showed that FEV(1) reduced slightly up to 21-28 days and comes back to normal around 42 days. VIEW™ score increased up to day 21 and then decreased toward day 42. An increase in VIEW™ score increases the risk of COVID-19 complications. VIEW™ score and FEV(1) showed a significant correlation. CONCLUSION: Home-based spirometry acts as an effective tool for COVID-19 patients to predict lung complications and also promote self-monitoring thereby reducing the burden on the health system.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。