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La administración de busulfán es ampliamente utilizada como parte del régimen de acondicionamiento en pacientes que se van a someter a trasplante de células madre hematopoyéticas. Se recomienda monitorizar las concentraciones plasmáticas de busulfán con el fin de optimizar la dosis en cada paciente y minimizar su toxicidad. El objetivo del presente estudio es validar un método analítico sencillo, rápido y costo-efectivo para la cuantificación de busulfán en plasma por cromatografía líquida acoplada a espectrometría de masas en tándem de aplicabilidad en la práctica clínica.

Administration of busulfan is extending rapidly as a part of a conditioning regimen in patients undergoing hematopoietic stem cell transplantation (HSCT). Monitoring blood plasma levels of busulfan is recommended for identifying the optimal dose in patients and for minimizing toxicity. The aim of this research was to validate a simple, rapid, and cost-effective analytical tool for measuring busulfan in human plasma that would be suitable for routine clinical use. This novel tool was based on liquid chromatography coupled to mass spectrometry.

Durante la pandemia causada por el virus SARS-CoV-2 ha surgido la necesidad de identificar variables predictivas que permitan una rápida identificación de aquellos pacientes que desarrollarán la COVID-19 severa para una rápida intervención. Este estudio ha desarrollado y validado un modelo capaz de realizar un pronóstico de severidad de la COVID-19.

The strain the SARS-COV-2 pandemic is putting on hospitals requires that predictive values are identified for a rapid triage and management of patients at a higher risk of developing severe COVID-19. We developed and validated a prognostic model of COVID-19 severity.

The aim of this study was to harmonize the criteria for the Bhattacharya indirect method Microsoft Excel Spreadsheet for reference intervals calculation to reduce between-user variability and use these criteria to calculate and evaluate reference intervals for eight analytes in two different years. Anonymized laboratory test results from outpatients were extracted from January 1st 2018 to December 31st 2019. To assure data quality, we examined the monthly results from an external quality control program. Reference intervals were determined by the Bhattacharya method with the St Vincent's hospital Spreadsheet firstly using original criteria and then using additional harmonized criteria defined in this study. Consensus reference intervals using the additional harmonized criteria were calculated as the mean of four users' lower and upper reference interval results. To further test the operation criteria and robustness of the obtained reference intervals, an external user validated the Spreadsheet procedure. The extracted test results for all selected laboratory tests fulfilled the quality criteria and were included in the present study. Differences between users in calculated reference intervals were frequent when using the Spreadsheet. Therefore, additional criteria for the Spreadsheet were proposed and applied by independent users, such as: to set central bin as the mean of all the data, bin size as small as possible, at least three consecutive bins and a high proportion of bins within the curve. The proposed criteria contributed to the harmonization of reference interval calculation between users of the Bhattacharya indirect method Spreadsheet. [ABSTRACT FROM AUTHOR]

Apolipoprotein A-I (ApoA-I), one of the most abundant proteins in plasma and the major protein component of high-density lipoprotein (HDL), is naturally found in several proteoforms; two of them are ProApoA-I and mature ApoA-I. These two proteoforms of ApoA-I coexist in biological samples and differ only in their N-terminal end. Virtually, the only way to differentiate them is by detecting the proteoform-specific N-terminal proteolytic peptides (RHFW-QQDE-PPQS-PWDR and DEPP-QS-PWDR, respectively) using liquid chromatography in multiple reaction monitoring mode mass spectrometry (LC-MRM-MS). We have developed a bottom-up LC-MRM-MS method to simultaneously detect proApoA-I and mature ApoA-I. To test the specificity of the method, we digested with trypsin purified mature ApoA-I and recombinant proApoA-I. As expected, only the N-term peptide corresponding to the mature ApoA-I proteoform (DEPP-QS-PWDR) was detected when digesting mature ApoA-I. However, the digestion of the proApoA-I produced not only the N-terminal peptide corresponding to proApoA-I (RHFW-QQDE-PPQS-PWDR) but also the N-terminal tryptic peptide corresponding to mature ApoA-I (DEPP-QS-PWDR). This effect was produced by standard and high-specificity trypsin as well as by the Arg-C enzyme in a self-limited manner (approximately 10% of the total). The synthetic proApo-I peptide is not cleaved by trypsin, suggesting that the here reported effect is dependent on protein conformation. The effect is not negligible, as it can be detected by LC-MRM-MS, and correction calculations should be applied to accurately quantify proApoA-I and mature ApoA-I in biological samples where these two proteoforms may coexist. [ABSTRACT FROM AUTHOR]