Optimize Clinical Laboratory Diagnosis of COVID-19 from Suspect Cases by Likelihood Ratio of SARS-CoV-2 IgM and IgG antibody
Yangchun, F.
Show abstract
ObjectiveTo optimize clinical laboratory diagnosis of COVID-19 from suspect cases by Likelihood Ratio of SARS-CoV-2 IgM and IgG antibody. MethodsBy reinterpreting the data in the article "Diagnostic Value of Combined Detection of Serum 2019 novel coronavirus IgM and IgG Antibodies in novel coronavirusin Infection", the positive likelihood ratio of IgM and IgG antibody in diagnosis of COVID-19 (nucleic acid positive patients) was calculated, and the posterior probability of IgM and IgG antibodies and their tandem detection to diagnose was finally calculated. ResultsThe positive likelihood ratios of single IgM and IgG antibody were 18.50 and 12.65 respectively, and the posterior probabilities were 90.18% and 86.26% respectively. However, the posterior probability of the two antibodies tandem detection is 99.15%, which can give clinicians quantitative confidence in the diagnosis of COVID-19 from suspected cases. According to the results of this study, combining the advantages and disadvantages of nucleic acid detection and antibody detection, the clinical pathway for clinicians to diagnose COVID-19 is found. ConclusionFor suspected cases, IgM and IgG antibody tests should be firstly done at the same time. If the antibody tests are all positive, COVID-19 can be confirmed. If not, nucleic acid detection (one or more times) is performed, and in extreme cases, high-throughput viral genome sequencing is performed.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Survival analysis of hospital length of stay of novel coronavirus (COVID-19) pneumonia patients in Sichuan, China 95%
- Classification of early and late stage Liver Hepatocellular Carcinoma patients from their genomics and epigenomics profiles. 95%
- dbGSRV: a manually curated database of genetic susceptibility to respiratory virus 94%
Similar papers in this journal
- Comprehensive genomic, immunological and clinical analysis of COVID-19 vaccine breakthrough infections: a prospective, comparative cohort study 94%
- Evaluation of rapid antibody test and chest computed tomography results of COVID-19 patients: A retrospective study 94%
- Effects of SARS-CoV-2 Mutations on Protein Structures and Intraviral Protein-Protein Interactions 93%
Similar papers in this journal
- Clinical and laboratory characteristics in outpatient diagnosis of COVID-19 in healthcare professionals in Rio de Janeiro, Brazil 91%
- Progression / remission of Coronavirus disease 2019: Data driven recommendations for repeating SARS-CoV-2 nucleic acid amplification tests. 90%
- AI portal tract detection and characterisation for a regional analysis of steatosis and inflammation in MASLD, MASH, and AIH 89%
Similar papers in this journal
- Identification of prognostic biomarkers for suppressing tumorigenesis and metastasis of Hepatocellular carcinoma through transcriptome analysis 92%
- Detection, Isolation and Quantification of Myocardial Infarct with Four Different Histological Staining Techniques 91%
- Passive Microwave Radiometry (MWR) for diagnostics of COVID-19 lung complications in Kyrgyzstan 91%
Similar papers in this journal
- Post mortem pathological findings in COVID-19 cases: A Systematic Review 93%
- Comparative study between first and second wave of COVID-19 deaths in India - a single center study 93%
- Comparison of Efficacy of Dexamethasone and Methylprednisolone in Improving the Partial Pressure of Arterial Oxygen and Fraction of Inspired Oxygen Ratio among COVID-19 Patients 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.