Background: The balanced transfusion of blood components plays a leading role in traumatic hemostatic resuscitation. Yet, previous whole blood studies have only focused on urban trauma center settings.
Objective: To compare component vs whole blood therapy on wastage rates and mortality in the rural setting.
Methods: This study was a nonrandomized, retrospective, observational, single-center study on a cold-stored whole blood program implementation for adult massive transfusions from 2020 to 2022 at a Level II trauma center. Trauma registry data determined the facility's whole blood needs and facilitated sustainable blood supplies. Whole blood use protocols were established, and utilization and laboratory compliance for incompatible ABO antibody hemolysis was monitored and reviewed monthly at stakeholder and trauma services meetings.
Results: From 2018 to 2019, the facility initiated component therapy massive transfusions every 9 days (n = 41). Therefore, four units of low-titer, O-positive whole blood delivered fortnightly was determined to provide patient coverage and minimize wastage. Across the study time frame (2020-2022), there were n = 68 hemodynamically unstable patients, consisting of those receiving whole blood, n = 37, and patients receiving component therapy, n = 31. Mortality rates were significantly lower (p = .030) in the whole blood population (n = 3, 8%) compared to those solely receiving component therapy (n = 9, 29%). Wastage rates were constantly evaluated; in 2021, 43.4% was not utilized, and in 2022, this was reduced to 38.7%. Anecdotally, nurses appreciated the ease of administration and documentation of transfusing whole blood, as it negated ratio compliance.
Conclusion: This evidence-based whole blood program provides vital care to severely injured trauma patients in a vast, rural region.
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http://dx.doi.org/10.1097/JTN.0000000000000810 | DOI Listing |
J Med Virol
January 2025
Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Aliment Pharmacol Ther
January 2025
Gastrointestinal and Liver Theme, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre (BRC), Nottingham University Hospitals NHS Trust and the University of Nottingham, School of Medicine, Queen's Medical Centre, Nottingham, UK.
Background: Colorectal cancer (CRC) is the third most common cancer in the United Kingdom and the second largest cause of cancer death.
Aim: To develop and validate a model using available information at the time of faecal immunochemical testing (FIT) in primary care to improve selection of symptomatic patients for CRC investigations.
Methods: We included all adults (≥ 18 years) referred to Nottingham University Hospitals NHS Trust between 2018 and 2022 with symptoms of suspected CRC who had a FIT.
Cell Biol Int
January 2025
Laboratory of Leishmaniasis, Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Leishmaniases affect millions of people around the world, caused by Leishmania parasites. Leishmania are transmitted by female sandflies from Phlebotominae subfamily during their blood meals. In mammals, promastigotes are phagocytosed mainly by macrophages, differentiate into amastigotes and multiply.
View Article and Find Full Text PDFKaohsiung J Med Sci
January 2025
Department of Psychiatry, School of Medicine, Kaohsiung Medical University Kaohsiung, Taiwan.
Attention-deficit/hyperactivity disorder (ADHD) is a common psychiatric condition among children and adolescents, often associated with a high risk of psychiatric comorbidities. Currently, ADHD diagnosis relies exclusively on clinical presentation and patient history, underscoring the need for clinically relevant, reliable, and objective biomarkers. Such biomarkers may enable earlier diagnosis and lead to improved treatment outcomes.
View Article and Find Full Text PDFGenet Epidemiol
January 2025
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.
Large-scale gene-environment interaction (GxE) discovery efforts often involve analytical compromises for the sake of data harmonization and statistical power. Refinement of exposures, covariates, outcomes, and population subsets may be helpful to establish often-elusive replication and evaluate potential clinical utility. Here, we used additional datasets, an expanded set of statistical models, and interrogation of lipoprotein metabolism via nuclear magnetic resonance (NMR)-based lipoprotein subfractions to refine a previously discovered GxE modifying the relationship between physical activity (PA) and HDL-cholesterol (HDL-C).
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