Laboratory Test and Assemble of Test Result

Author(s):  
Nozomu Yoshida
Keyword(s):  
2018 ◽  
Vol 154 (12) ◽  
pp. 1409 ◽  
Author(s):  
Deirdre A. Stolmeier ◽  
Hannah B. Stratman ◽  
Thomas J. McIntee ◽  
Erik J. Stratman

1975 ◽  
Vol 21 (8) ◽  
pp. 1077-1087 ◽  
Author(s):  
Gérard Siest ◽  
Françoise Schiele ◽  
Marie-Madeleine Galteau ◽  
Edwige Panek ◽  
Josiane Steinmetz ◽  
...  

Abstract The determination of frequency value (percentile limits) and the classification of the different variation factors allow us to define more and more homogeneous subpopulations as we use these factors for sorting. Using as our study population those persons coming to the Centre for Preventive Medicine, we were able to: (a) Describe and measure the significance and importance of physiological variations or of variations attributed to age—the latter largely related only to excessive weight, which it seems to us is often the case. (b) Establish a classification for variation factors; the recapitulatory table should be useful to clinical chemists in helping physicians interpret a laboratory test result that falls within the zone of incertitude. (c) Suggest a preliminary group of reference values for healthy subjects, to be used in interpreting a laboratory test in this way.


2015 ◽  
Vol 144 (suppl 2) ◽  
pp. A200-A200
Author(s):  
Robert Schmidt ◽  
Jeanne Panlener ◽  
Suzanne Carasso ◽  
Jerry Hussong

2016 ◽  
Vol 145 (5) ◽  
pp. 666-670 ◽  
Author(s):  
Robert L. Schmidt ◽  
Jeanne J. Panlener ◽  
Suzanne M. Carasso ◽  
Jerry W. Hussong

PLoS Biology ◽  
2020 ◽  
Vol 18 (11) ◽  
pp. e3000970 ◽  
Author(s):  
Yadi Zhou ◽  
Yuan Hou ◽  
Jiayu Shen ◽  
Reena Mehra ◽  
Asha Kallianpur ◽  
...  

The global coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to unprecedented social and economic consequences. The risk of morbidity and mortality due to COVID-19 increases dramatically in the presence of coexisting medical conditions, while the underlying mechanisms remain unclear. Furthermore, there are no approved therapies for COVID-19. This study aims to identify SARS-CoV-2 pathogenesis, disease manifestations, and COVID-19 therapies using network medicine methodologies along with clinical and multi-omics observations. We incorporate SARS-CoV-2 virus–host protein–protein interactions, transcriptomics, and proteomics into the human interactome. Network proximity measurement revealed underlying pathogenesis for broad COVID-19-associated disease manifestations. Analyses of single-cell RNA sequencing data show that co-expression of ACE2 and TMPRSS2 is elevated in absorptive enterocytes from the inflamed ileal tissues of Crohn disease patients compared to uninflamed tissues, revealing shared pathobiology between COVID-19 and inflammatory bowel disease. Integrative analyses of metabolomics and transcriptomics (bulk and single-cell) data from asthma patients indicate that COVID-19 shares an intermediate inflammatory molecular profile with asthma (including IRAK3 and ADRB2). To prioritize potential treatments, we combined network-based prediction and a propensity score (PS) matching observational study of 26,779 individuals from a COVID-19 registry. We identified that melatonin usage (odds ratio [OR] = 0.72, 95% CI 0.56–0.91) is significantly associated with a 28% reduced likelihood of a positive laboratory test result for SARS-CoV-2 confirmed by reverse transcription–polymerase chain reaction assay. Using a PS matching user active comparator design, we determined that melatonin usage was associated with a reduced likelihood of SARS-CoV-2 positive test result compared to use of angiotensin II receptor blockers (OR = 0.70, 95% CI 0.54–0.92) or angiotensin-converting enzyme inhibitors (OR = 0.69, 95% CI 0.52–0.90). Importantly, melatonin usage (OR = 0.48, 95% CI 0.31–0.75) is associated with a 52% reduced likelihood of a positive laboratory test result for SARS-CoV-2 in African Americans after adjusting for age, sex, race, smoking history, and various disease comorbidities using PS matching. In summary, this study presents an integrative network medicine platform for predicting disease manifestations associated with COVID-19 and identifying melatonin for potential prevention and treatment of COVID-19.


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