scispace - formally typeset
Open AccessJournal ArticleDOI

Laboratory Diagnosis of COVID-19: Current Issues and Challenges.

TLDR
In the preanalytical stage, collecting the proper respiratory tract specimen at the right time from the right anatomic site is essential for a prompt and accurate molecular diagnosis of COVID-19, and real-time reverse transcription-PCR assays remain the molecular test of choice for the etiologic diagnosis of SARS-CoV-2 infection while antibody-based techniques are being introduced as supplemental tools.
Abstract
The COVID-19 outbreak has had a major impact on clinical microbiology laboratories in the past several months. This commentary covers current issues and challenges for the laboratory diagnosis of infections caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In the preanalytical stage, collecting the proper respiratory tract specimen at the right time from the right anatomic site is essential for a prompt and accurate molecular diagnosis of COVID-19. Appropriate measures are required to keep laboratory staff safe while producing reliable test results. In the analytic stage, real-time reverse transcription-PCR (RT-PCR) assays remain the molecular test of choice for the etiologic diagnosis of SARS-CoV-2 infection while antibody-based techniques are being introduced as supplemental tools. In the postanalytical stage, testing results should be carefully interpreted using both molecular and serological findings. Finally, random-access, integrated devices available at the point of care with scalable capacities will facilitate the rapid and accurate diagnosis and monitoring of SARS-CoV-2 infections and greatly assist in the control of this outbreak.

read more

Citations
More filters
Posted ContentDOI

Using Genome Sequence Data to Predict SARS-CoV-2 Detection Cycle Threshold Values

TL;DR: In this paper , the authors used a collection of over 29,000 high quality SARS-CoV-2 genomes to build machine learning models for predicting clinical detection cycle threshold (Ct) values, which correspond with viral load.
Journal ArticleDOI

Changes in the Level of Antiphospholipid Antibodies (Anticardiolipin and Anti-β2-Glycoprotein-I) and Thromboembolic Indices in COVID-19 Patients during 3 Weeks

TL;DR: In this paper , the authors investigated changes in the level of antiphospholipid antibodies (Anticardiolipin and anti-β2-glycoprotein-I) and thromboembolic indices in COVID-19 patients during 3 weeks.
Journal ArticleDOI

Diagnostic performance of corona virus disease 2019 chest computer tomography image recognition based on deep learning: Systematic review and meta-analysis

Zhongwu Lan
- 21 Oct 2022 - 
TL;DR: Wang et al. as mentioned in this paper analyzed the diagnosis performance of deep learning model used in corona virus disease 2019 (COVID-19) computer tomography (CT) chest scans, and showed that deep learning models have immense potential in accurately stratifying COVID-2019 patients and in correctly differentiating them from patients with other types of pneumonia and normal patients.
Journal ArticleDOI

Additional value of chest CT AI-based quantification of lung involvement in predicting death and ICU admission for COVID-19 patients

TL;DR: Wang et al. as mentioned in this paper evaluated the contribution of lung lesion quantification on chest CT using a clinical Artificial Intelligence (AI) software in predicting death and intensive care units (ICU) admission for COVID-19 patients.
Journal ArticleDOI

Autonomic dysfunction in COVID-19 patients receiving mechanical ventilation: A cross-sectional study

TL;DR: In this article , the impact of Coronavirus disease 2019 (COVID-19) on cardiac autonomic control in mechanically ventilated intensive care unit (ICU) patients was analyzed.
References
More filters
Journal ArticleDOI

A pneumonia outbreak associated with a new coronavirus of probable bat origin

TL;DR: Identification and characterization of a new coronavirus (2019-nCoV), which caused an epidemic of acute respiratory syndrome in humans in Wuhan, China, and it is shown that this virus belongs to the species of SARSr-CoV, indicates that the virus is related to a bat coronav virus.
Journal ArticleDOI

A new coronavirus associated with human respiratory disease in China.

TL;DR: Phylogenetic and metagenomic analyses of the complete viral genome of a new coronavirus from the family Coronaviridae reveal that the virus is closely related to a group of SARS-like coronaviruses found in bats in China.
Related Papers (5)