Whole blood can be ABO-type specific (type-specific whole blood (TSWB)) or low-titer O universal donor (low-titer O whole blood (LTOWB)). Having previously used LTOWB, the US Armed Forces Blood Program began using TSWB in 1965 as a method of increasing the donor pool. In contrast to military practice, the Association for the Advancement of Blood and Biotherapies formerly the American association of blood banks (AABB), from its first guidelines in 1958 until 2018, permitted only TSWB. Attempting to reduce time to transfusion, the US military reintroduced LTOWB in the deployed environment in 2015; this practice was endorsed by the AABB in 2018 and is progressively being implemented by military and civilian providers worldwide. Low-titer O whole blood is the only practical solution prehospital. However, there are several reasons to retain the option of TSWB in hospitals with a laboratory. These include (1) as-yet ill-defined risks of immunological complications from ABO-incompatible plasma (even when this has low titers of anti-A and -B), (2) risks of high volumes of LTOWB including published historical advice (based on clinical experience) not to transfuse type-specific blood for 2 to 3 weeks following a substantial LTOWB transfusion, (3) uncertainty as to the optimal definition of "low titer," and (4) expanding the potential donor pool by allowing type-specific transfusion. Several large randomized controlled trials currently underway are comparing LTOWB with component therapy, but none address the question of LTOWB versus TSWB. There are sufficient data to suggest that the additional risks of transfusing LTOWB to non-group O recipients should be avoided by using TSWB as soon as possible. Combined with the advantage of maintaining an adequate supply of blood products in times of high demand, this suggests that retaining TSWB within the civilian and military blood supply system is desirable. TSWB should be preferred when patient blood group is confirmed in facilities with a hematology laboratory, with LTOWB reserved for patients whose blood group is unknown.
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http://dx.doi.org/10.1097/TA.0000000000004369 | DOI Listing |
EBioMedicine
December 2024
CeMM Research Centre for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria; Centre for Physiology and Pharmacology, Medical University of Vienna; Vienna, Austria. Electronic address:
Background: High content imaging-based functional precision medicine approaches have been developed and successfully applied in the field of haemato-oncology. For rheumatoid arthritis (RA), treatment selection is still based on a trial-and-error principle, and biomarkers for patient stratification and drug response prediction are needed.
Methods: A high content, high throughput microscopy-based phenotyping pipeline for peripheral blood mononuclear cells (PBMCs) was developed, allowing for the quantification of cell type frequencies, cell type specific morphology and intercellular interactions from patients with RA (n = 65) and healthy controls (HC, n = 33).
Drug Discov Ther
December 2024
Department of Neurosurgery, Haikou Affiliated Hospital of Central South University Xiangya School of Medicine, Haikou, China.
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, memory loss, and functional impairments. Despite extensive research, its pathogenesis remains incompletely understood, and effective treatments are limited. This study explored the therapeutic potential of agarwood in AD by integrating network pharmacology, protein-protein interaction (PPI) network analysis, and single-cell expression analysis.
View Article and Find Full Text PDFClin Epigenetics
December 2024
Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China.
Background: Pancreatic adenocarcinoma (PDAC) exhibits a complex microenvironment with diverse cell populations influencing patient prognosis. Single-cell RNA sequencing (scRNA-seq) was used to identify prognosis-related cell types, and DNA methylation (DNAm)-based models were developed to predict outcomes based on their cellular characteristics.
Methods: We integrated scRNA-seq, bulk data, and clinical information to identify key cell populations associated with prognosis.
Neuron
December 2024
Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center, Basel, Switzerland. Electronic address:
Poor understanding of the cellular and molecular basis of clinical and genetic heterogeneity in progressive multiple sclerosis (MS) has hindered the search for new effective therapies. To address this gap, we analyzed 632,000 single-nucleus RNA sequencing profiles from 156 brain tissue samples of MS and control donors to examine inter- and intra-donor heterogeneity. We found distinct cell type-specific gene expression changes between MS gray and white matter, highlighting clear pathology differences.
View Article and Find Full Text PDFNPJ Precis Oncol
December 2024
Department of Pathology and Laboratory Medicine, SUNY Upstate Medical University, Syracuse, NY, USA.
Immune checkpoint inhibitors (ICI) have become integral to treatment of non-small cell lung cancer (NSCLC). However, reliable biomarkers predictive of immunotherapy efficacy are limited. Here, we introduce HistoTME, a novel weakly supervised deep learning approach to infer the tumor microenvironment (TME) composition directly from histopathology images of NSCLC patients.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!