scholarly journals Predictive usefulness of RT-PCR testing in different patterns of Covid-19 symptomatology: analysis of a French cohort of 12,810 outpatients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
◽  
Caroline Apra ◽  
Charlotte Caucheteux ◽  
Arthur Mensch ◽  
Jenny Mansour ◽  
...  
Keyword(s):  
Clinical Presentation ◽  
Learning Algorithm ◽  
Diagnostic Value ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Average Precision ◽  
Efficient Test ◽  
Polymerase Chain ◽  
French Cohort ◽  
Clinical Strategy

AbstractReverse transcriptase polymerase chain reaction (RT-PCR) is a key tool to diagnose Covid-19. Yet it may not be the most efficient test in all patients. In this paper, we develop a clinical strategy for prescribing RT-PCR to patients based on data from COVIDOM, a French cohort of 54,000 patients with clinically suspected Covid-19, including 12,810 patients tested by RT-PCR. We use a machine-learning algorithm (decision tree) in order to predict RT-PCR results based on the clinical presentation. We show that symptoms alone are sufficient to predict RT-PCR outcome with a mean average precision of 86%. We identify combinations of symptoms that are predictive of RT-PCR positivity (90% for anosmia/ageusia) or negativity (only 30% of RT-PCR+ for a subgroup with cardiopulmonary symptoms): in both cases, RT-PCR provides little added diagnostic value. We propose a prescribing strategy based on clinical presentation that can improve the global efficiency of RT-PCR testing.

scholarly journals Predictive usefulness of PCR testing in different patterns of Covid-19 symptomatology - Analysis of a French cohort of 12,810 outpatients

2020 ◽  
Author(s):  
◽  
Apra Caroline ◽  
Caucheteux Charlotte ◽  
Mensch Arthur ◽  
Mansour Jenny ◽  
...  
Keyword(s):  
Machine Learning ◽  
Clinical Presentation ◽  
Learning Algorithm ◽  
Diagnostic Value ◽  
Machine Learning Algorithm ◽  
Chain Reaction ◽  
Average Precision ◽  
Polymerase Chain ◽  
French Cohort ◽  
Clinical Strategy

AbstractPolymerase Chain reaction (PCR) is a key tool to diagnose Covid-19. Yet access to PCR is often limited. In this paper, we develop a clinical strategy for prescribing PCR to patients based on data from COVIDOM, a French cohort of 54,000 patients with clinically suspected Covid-19 including 12,810 patients tested by PCR. Using a machine learning algorithm (a decision tree), we show that symptoms alone are sufficient to predict PCR outcome with a mean average precision of 86%. We identify combinations of symptoms that are predictive of PCR positivity (90% for anosmia/ageusia) or negativity (only 30% of PCR+ for a subgroup with cardiopulmonary symptoms): in both cases, PCR provides little added diagnostic value. We deduce a prescribing strategy based on clinical presentation that can improve the global efficiency of PCR testing.

scholarly journals Patients with Initial Negative RT-PCR and Typical Imaging of COVID-19: Clinical Implications

2020 ◽  
Vol 9 (9) ◽  
pp. 3014 ◽  
Author(s):  
Florent Baicry ◽  
Pierrick Le Borgne ◽  
Thibaut Fabacher ◽  
Martin Behr ◽  
Elena Laura Lemaitre ◽  
...  
Keyword(s):  
Bayesian Methods ◽  
Clinical Presentation ◽  
Chronic Respiratory Disease ◽  
Clinical Implications ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Negative Results ◽  
Lower Oxygen ◽  
Baseline Characteristics ◽  
Polymerase Chain

The sensitivity of reverse transcriptase polymerase chain reaction (RT-PCR) has been questioned due to negative results in some patients who were strongly suspected of having coronavirus disease 2019 (COVID-19). The aim of our study was to analyze the prognosis of infected patients with initial negative RT-PCR in the emergency department (ED) during the COVID-19 outbreak. This study included two cohorts of adult inpatients admitted into the ED. All patients who were suspected to be infected with SARS-CoV-2 and who underwent a typical chest CT imaging were included. Thus, we studied two distinct cohorts: patients with positive RT-PCR (PCR+) and those with negative initial RT-PCR (PCR–). The data were analyzed using Bayesian methods. We included 66 patients in the PCR– group and 198 in the PCR+ group. The baseline characteristics did not differ except in terms of a proportion of lower chronic respiratory disease in the PCR– group. We noted a less severe clinical presentation in the PCR– group (lower respiratory rate, lower oxygen need and mechanical ventilation requirement). Hospital mortality (9.1% vs. 9.6%) did not differ between the two groups. Despite an initially less serious clinical presentation, the mortality of patients infected by SARS-CoV-2 with a negative RT-PCR did not differ from those with positive RT-PCR.

D3 dopamine receptor mRNA expression in lymphocytes: a peripheral marker for schizophrenia?

2003 ◽  
Vol 15 (2) ◽  
pp. 91-93 ◽  
Author(s):  
J. van der Weide ◽  
L. S. W. Steijns ◽  
M. A. M. van der Geld ◽  
P. A. de Groot
Keyword(s):  
Mrna Expression ◽  
Dopamine Receptor ◽  
Diagnostic Value ◽  
D3 Receptor ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Receptor Mrna ◽  
Schizophrenic Patients ◽  
Polymerase Chain ◽  
Antipsychotic Drug Treatment

Background:Identification of schizophrenia, a common neuropsychiatric disorder, is based on clinical examination. An easily measurable peripheral marker, which may enable a more rapid and more accurate diagnosis, is not available. A possible candidate is the D3 dopamine receptor on lymphocytes.Objective:The D3 receptor is investigated for its clinical significance as a marker for diagnosing schizophrenia.Methods:From eight schizophrenic patients and eight controls lymphocyte RNA was isolated. A semiquantitative reverse transcription–polymerase chain reaction (RT-PCR) was carried out and the intensities of the specific D3 dopamine receptor bands of patients and controls were compared.Results:No difference could be seen between the intensities of the bands from patients and controls.Conclusion:An aberrant D3 dopamine receptor mRNA expression in lymphocytes of schizophrenics could not be demonstrated. This might be caused by down-regulation of D3 receptor production by antipsychotic drug treatment. At present, the D3 receptor seems to have no diagnostic value in schizophrenia.

scholarly journals Genetic and pathogenic characterization of SARS-CoV-2: a review

2020 ◽  
Vol 15 (8) ◽  
pp. 533-549
Author(s):  
Afsane Bahrami ◽  
Gordon A Ferns
Keyword(s):  
Clinical Presentation ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Computed Tomography Imaging ◽  
Bronchial Epithelial ◽  
Tomography Imaging ◽  
First Case ◽  
Polymerase Chain ◽  
Pcr Test

The first case of Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was reported in December 2019. This virus belongs to the beta-coronavirus group that contains a single stranded RNA with a nucleoprotein within a capsid. SARS-CoV-2 shares 80% nucleotide identity to SARS-CoV. The virus is disseminated by its binding to the ACE2 receptors on bronchial epithelial cells. The diagnosis of COVID-19 is based on a laboratory-based reverse transcription polymerase chain reaction (RT-PCR) test together with chest computed tomography imaging. To date, no antiviral therapy has been approved, and many aspects of the COVID-19 are unknown. In this review, we will focus on the recent information on genetics and pathogenesis of COVID-19 as well as its clinical presentation and potential treatments.

1504: Molecular Diagnosis and Staging of Prostate Cancer Using Clusterin in Real Time Reverse Transcription Polymerase Chain Reaction (RT-PCR)

2006 ◽  
Vol 175 (4S) ◽  
pp. 485-486
Author(s):  
Sabarinath B. Nair ◽  
Christodoulos Pipinikas ◽  
Roger Kirby ◽  
Nick Carter ◽  
Christiane Fenske
Keyword(s):  
Prostate Cancer ◽  
Polymerase Chain Reaction ◽  
Real Time ◽  
Molecular Diagnosis ◽  
Reverse Transcription ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Polymerase Chain

Expression of Platelet Membrane Glycoprotein V in Human Megakaryocytes and Megakaryocytic Cell Lines: A Study Using a Novel Monoclonal Antibody against GPV

1994 ◽  
Vol 72 (05) ◽  
pp. 762-769 ◽  
Author(s):  
Toshiro Takafuta ◽  
Kingo Fujirmura ◽  
Hironori Kawano ◽  
Masaaki Noda ◽  
Tetsuro Fujimoto ◽  
...  
Keyword(s):  
Monoclonal Antibody ◽  
Cell Lines ◽  
Immunohistochemical Analysis ◽  
Specific Protein ◽  
Platelet Membrane ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Flow Cytometric ◽  
Polymerase Chain ◽  
Megakaryocytic Cell

SummaryGlycoprotein V (GPV) is a platelet membrane protein with a molecular weight of 82 kD, and one of the leucine rich glycoproteins (LRG). By reverse transcription-polymerase chain reaction (RT-PCR), GPV cDNA was amplified from mRNA of platelets and megakaryocytic cell lines. However, since there are few reports indicating whether GPV protein is expressed in megakaryocytes as a lineage and maturation specific protein, we studied the GPV expression at the protein level by using a novel monoclonal antibody (1D9) recognizing GPV. Flow cytometric and immunohistochemical analysis indicated that GPV was detected on the surface and in the cytoplasm of only the megakaryocytes in bone marrow aspirates. In a megakaryocytic cell line UT-7, GPV antigen increased after treatment with phorbol-12-myri-state-13-acetate (PMA). These data indicate that only megakaryocytes specifically express the GPV protein among hematopoietic cells and that the expression of GPV increases with differentiation of the megakaryocyte as GPIb-IX complex.

Polymerase chain reaction amplification and typing of rotavirus in environmental samples

1995 ◽  
Vol 31 (5-6) ◽  
pp. 371-374 ◽  
Author(s):  
R. Gajardo ◽  
R. M. Pintó ◽  
A. Bosch
Keyword(s):  
Polymerase Chain Reaction ◽  
Environmental Samples ◽  
Polymerase Chain Reaction Amplification ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Pcr Assay ◽  
Group A ◽  
Reaction Amplification ◽  
Stool Specimens ◽  
Polymerase Chain

A reverse transcription polymerase chain reaction (RT-PCR) assay is described that has been developed for the detection and serotyping of group A rotavirus in stool specimens and concentrated and non-concentrated sewage specimens.

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