13 research outputs found

    Comparison and agreement between arterial versus venous blood gas analysis and pulse oxymetry in children with acute asthma

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    Background: Blood gas analysis is critical in managing children in intensive care unit primarily in respiratory disorders. This study aimed to ascertain agreement between the arterial and peripheral venous measurement of pH, pCO2, pO2 and bicarbonate levels along with SpO2 in acute asthma.Methods: Hospital based cross sectional analytical study was conducted at Pushpagiri Institute of Medical Sciences in 50 children within the age group of 5-15 years who presented with symptoms suggestive of acute asthma with a modified PSI>6 after informed consent from parents and assent from child. SpO2 monitoring and ABG simultaneously with VBG were done immediately after admission. Statistical analysis was done to find out any correlation using Pearson correlation coefficient and Bland Altman plots were drawn to assess agreement.Results: 50 children in the age group 5 years to 15 years were included in the study. Arterial pH and venous pH were found to be correlated significantly, Pearson correlation coefficient r=0.438. There was a good correlation between the arterial and venous pCO2 with r= 0.610, bicarbonate values r=0.608. There was poor correlation between arterial PO2 and venous PO2 values (r=0.030). The bias plot for pH and pCO2 showed moderate agreement in with 95% limits of agreement being in acceptably narrow range. The mean bias in pH was 0.0242 (SD=0.04912, 95% limits of agreement = -0.0721 to 0.12045); bias in pCO2 was -4.04400 (SD=5.53616, 95% limits of agreement = -14.8949 to 6.8069), and in bicarbonate levels -0.0940 (SD=2.09, 95% limits of agreement = -4.1998 to 4.0119).Conclusions: Even though there was a good correlation and a moderate agreement between ABG and VBG parameters like pH, pCO2 and bicarbonate, VBG cannot be replaced for ABG in acute asthma. Pulse oximetry also has limitations in children with acute severe asthma as compared to ABG value.

    Training Manual on "Know Your Marine Biodiversity and Environment (MarBiE 2)" Taxonomy of Marine Organisms

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    Sustainable fisheries management aims to protect fishery resources to ensure the long-term viability of fish stocks and marine ecosystems. It combines theoretical disciplines, like population dynamics, with practical strategies, like avoiding overfishing and curbing illegal fishing practices. Correct taxonomy and systematics tools permit the classification of practically all fish species. This capacity is of particular value for fisheries management biological and ecological research as well as to issues related to fisheries products for human consumption. However, its usefulness is hindered by the lack of expertise in this area and the decrease in the number of taxonomists. Specimens have to be identified at species level using standard morphometric and meristic procedures applied by taxonomists. With sustainability being the critical issue of the hour, developing a younger breed of qualified taxonomists in the different marine realm is of outmost importance. It is physically difficult to identify and collect data on every organism in an ecosystem; therefore, taxonomic studies focus exclusively on specific taxonomic groups, which highlights their significance. The application of contemporary techniques will enhance our understanding of evolutionary linkages. This can entail educating a new generation of specialists on the systematics of the relevant group or persuading more experienced experts to write assessments of the group. The credibility of species occurrence records from current databases and literature needs to be thoroughly evaluated

    PDBe-KB: a community-driven resource for structural and functional annotations.

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    The Protein Data Bank in Europe-Knowledge Base (PDBe-KB, https://pdbe-kb.org) is a community-driven, collaborative resource for literature-derived, manually curated and computationally predicted structural and functional annotations of macromolecular structure data, contained in the Protein Data Bank (PDB). The goal of PDBe-KB is two-fold: (i) to increase the visibility and reduce the fragmentation of annotations contributed by specialist data resources, and to make these data more findable, accessible, interoperable and reusable (FAIR) and (ii) to place macromolecular structure data in their biological context, thus facilitating their use by the broader scientific community in fundamental and applied research. Here, we describe the guidelines of this collaborative effort, the current status of contributed data, and the PDBe-KB infrastructure, which includes the data exchange format, the deposition system for added value annotations, the distributable database containing the assembled data, and programmatic access endpoints. We also describe a series of novel web-pages-the PDBe-KB aggregated views of structure data-which combine information on macromolecular structures from many PDB entries. We have recently released the first set of pages in this series, which provide an overview of available structural and functional information for a protein of interest, referenced by a UniProtKB accession

    PDBe CCDUtils: an RDKit-based toolkit for handling and analysing small molecules in the Protein Data Bank

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    Abstract While the Protein Data Bank (PDB) contains a wealth of structural information on ligands bound to macromolecules, their analysis can be challenging due to the large amount and diversity of data. Here, we present PDBe CCDUtils, a versatile toolkit for processing and analysing small molecules from the PDB in PDBx/mmCIF format. PDBe CCDUtils provides streamlined access to all the metadata for small molecules in the PDB and offers a set of convenient methods to compute various properties using RDKit, such as 2D depictions, 3D conformers, physicochemical properties, scaffolds, common fragments, and cross-references to small molecule databases using UniChem. The toolkit also provides methods for identifying all the covalently attached chemical components in a macromolecular structure and calculating similarity among small molecules. By providing a broad range of functionality, PDBe CCDUtils caters to the needs of researchers in cheminformatics, structural biology, bioinformatics and computational chemistry. Graphical Abstrac
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