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BMR).A new approach to the quantitative analysis of aromatic metabolites in cerebrospinal fluid samples of neurosurgical patients based on microextraction by packed sorbent coupled with derivatization and GC-MS was developed. Analytical characteristics such as recoveries (40-90%), limit of detection (0.1-0.3 μm) and limit of quantitation (0.4-0.7 μm) values, accuracy ( less then ±20%), precision ( less then 20%) and linear correlations (R2 ≥ 0.99) over a 0.4-10 μm range of concentrations demonstrated that microextraction by packed sorbent provides results for the quantitative analysis of target compounds comparable with those for liquid-liquid extraction. Similar results were achieved using 40 μl of sample for microextraction by packed sorbent instead of 200 μl for liquid-liquid extraction. Benzoic, 3-phenylpropionic, 3-phenyllactic, 4-hydroxybenzoic, 2-(4-hydroxyphenyl)acetic, homovanillic and 3-(4-hydroxyphenyl)lactic acids were found in cerebrospinal fluid samples (n = 138) of neurosurgical patients in lower concentrations than in serum samples (n = 110) of critically ill patients. Analysis of the cerebrospinal fluid and serum samples taken at the same time from neurosurgical patients (n = 5) revealed similar results for patients without infection and multidirectional results for patients with central nervous system infection. Our preliminary results demonstrate the necessity of further evaluating the aromatic compound profile in cerebrospinal fluid for its subsequent verification for potential diagnostic markers.Per- and polyfluoroalkyl substances (PFAS), a class of synthetic chemicals produced for over 70 years, are of increasing concern because of their widespread environmental presence, extreme persistence, bioaccumulative nature, and evidence for health effects from environmentally relevant exposures. In 2016, the United States Environmental Protection Agency (USEPA) established nonregulatory drinking water Health Advisories of 70 ng/L for individual and total concentrations of perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS), the 8-carbon perfluoroalkyl acids (PFAAs) that are the most thoroughly studied PFAS. As of May 2020, 9 US states had concluded that the USEPA Health Advisories are insufficiently protective and developed more stringent PFOA and PFOS guidelines. In addition, 10 states had developed guidelines for other PFAS, primarily PFAAs. This Critical Review discusses the scientific basis for state and USEPA drinking water guidelines for PFOA and PFOS; the same principles apply to guidelines for other PFAS. Similarities and differences among guidelines arise from both toxicity and exposure considerations. The approximately 4-fold range among state guidelines (8-35 ng/L for PFOA, 10-40 ng/L for PFOS) is not large or unexpected for guidelines developed by different scientists at different time points, especially when compared with older USEPA and state guidelines that were generally several orders of magnitude higher. Additional state guidelines for PFOA, PFOS, and other PFAS are expected to become available. Environ Toxicol Chem 2021;40560-563. © 2020 SETAC.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the resulting COVID-19 pandemic present important diagnostic challenges. Several diagnostic strategies are available to identify or rule out current infection, identify people in need of care escalation, or to test for past infection and immune response. Point-of-care antigen and molecular tests to detect current SARS-CoV-2 infection have the potential to allow earlier detection and isolation of confirmed cases compared to laboratory-based diagnostic methods, with the aim of reducing household and community transmission.
To assess the diagnostic accuracy of point-of-care antigen and molecular-based tests to determine if a person presenting in the community or in primary or secondary care has current SARS-CoV-2 infection.
On 25 May 2020 we undertook electronic searches in the Cochrane COVID-19 Study Register and the COVID-19 Living Evidence Database from the University of Bern, which is updated daily with published articles from PubMed and rer instructions for use and be conducted at the point of care. Any future research study report should conform to the Standards for Reporting of Diagnostic Accuracy (STARD) guideline.N-(3-Dimethylaminopropyl)-N'-ethylcarbodiimide (EDC) is a carbodiimide coupling reagent commonly used for the preparation of amides from carboxylic acids and amines. Because of initial concerns regarding the genotoxicity of EDC and its use in GMP syntheses at Bristol Myers Squibb, the quantitation of residual EDC and its by-product N-(3-dimethylaminopropyl)-N'-ethylurea (EDU) by liquid chromatography-mass spectrometry (LCMS) impurity analysis was required. find more These analyses required the use of stable-isotope-labeled EDC and EDU to serve as internal standards. To meet this need, stable-isotope-labeled EDC 9 and EDU 10 were prepared from [1,2-13 C2 ] ethylene glycol and [13 C,15 N] potassium cyanide in overall yields of 6% and 8%, respectively.Anaemia is frequently diagnosed during pregnancy. However, there are few data regarding its incidence, and the association with severe maternal morbidity remains uncertain and potentially biased in high-resource countries. The purpose of this study was to explore the association between gestational anaemia and severe acute maternal morbidity during and after delivery. We performed a cohort-nested case-control analysis from the epidemiology of severe maternal mortality (EPIMOMS) prospective study conducted in six French regions (2012-2013, n = 182,309 deliveries). There were 1669 women with severe acute maternal morbidity during or after delivery, according to a standardised definition obtained by expert consensus. The control group were randomly selected among women without severe morbidity who delivered in the same health centres (n = 3234). We studied the association between gestational anaemia and severe acute maternal morbidity during or after delivery overall, by cause, and by mode of delivery, using multivariable logistic regression and multiple imputation.
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