Patients with traumatic brain injury (TBI) often show progression of hemorrhagic injuries (PHI) after admission to the hospital. This progression is correlated with poor outcome. In this study, we have investigated if thrombocytopenia was a risk factor for PHI. The study was performed on patients admitted to the hospital with severe TBI during year 2000. In total, 50 patients were admitted with severe TBI. Twenty-seven out of these had complete platelet counts at admission and 24 hours thereafter and were included for further study. We found thrombocytopenia at admission to be a risk factor for PHI (p=0.008). We also found that the platelet count decreased more significantly during the first 24 h after injury in patients with PHI compared to patients without PHI (p=0.009). A trend towards longer periods of mechanical ventilation in patients with PHI compared to patients without PHI was identified. These findings support a causal relationship between thrombocytopenia and PHI. The findings provide a rationale for future studies of hemostatic agents in the treatment of TBI in order to minimise complications caused by PHI.
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http://dx.doi.org/10.1089/neu.2005.22.291 | DOI Listing |
Cureus
November 2024
Department of Cardiology, Johns Hopkins University School of Medicine, Baltimore, USA.
Background Rapid treatment of ST-elevation myocardial infarction (STEMI) patients with primary percutaneous coronary intervention (PCI) significantly reduces morbidity and mortality rates. Recent studies emphasize the importance of reducing total ischemic time, making first-medical-contact-to-balloon (FMCTB) time a key performance indicator. To improve FMCTB times in patients brought to the Emergency Department (ED) by Emergency Medical Services (EMS), we implemented a "Direct to Lab" (DTL) workflow during the following conditions: weekday daytime hours, when the lab is fully staffed, and for hemodynamically stable STEMI patients presenting via EMS.
View Article and Find Full Text PDFInfect Drug Resist
December 2024
Department of Biomedical Sciences Laboratory, Wenzhou Medical University Affiliated Dongyang Hospital, Dongyang, Zhejiang, People's Republic of China.
Background: Diarrhea caused by non-O1/O139-group e (NOVC) tends to be mild and can be readily overlooked. In this report, a NOVC strain designated XXM was isolated from the blood of a 68-year-old male undergoing surgical treatment for a bile duct malignancy in October 2023.
Methods: XXM was identified through a matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS).
BMC Neurol
December 2024
Neurosurgery Department, The Second Affiliated Hospital of Guangzhou Medical University, 250 Changgang Road, Haizhu District, Guangzhou, 510260, China.
Objective: To investigate the correlation between neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in neurosurgery and their impact on the occurrence and prognosis of acute traumatic progressive hemorrhagic brain injury (PHI) among traumatic brain injury patients.
Method: A retrospective analysis encompassed 220 traumatic brain injury patients treated between 2019 and 2022. Patients were categorized into two groups: those experiencing progressive hemorrhagic brain injury (PHI) and those without PHI.
J Clin Med
November 2024
Medical Imaging Department Blacktown Mount Druitt Hospitals, Blacktown Hospital, 18 Blacktown Road, Blacktown, Sydney, NSW 2148, Australia.
: This retrospective observational diagnostic accuracy study aims to demonstrate that open-access rapid-sequence non-contrast magnetic resonance imaging (MRI) is accurate for exclusion or confirmation of acute appendicitis (AA). : In 2017, a locally designed 12 min MRI protocol was made available as a new open-access option (no booking needed) for any emergency department (ED) or acute surgical patient with any clinical presentation at the authors' sites. Uninterrupted single-radiologist reporting availability was provided.
View Article and Find Full Text PDFStat Med
December 2024
Department of Biostatistics, School of Medicine, Yokohama City University, Yokohama, Japan.
Evaluating classifications is crucial in statistics and machine learning, as it influences decision-making across various fields, such as patient prognosis and therapy in critical conditions. The Matthews correlation coefficient (MCC), also known as the phi coefficient, is recognized as a performance metric with high reliability, offering a balanced measurement even in the presence of class imbalances. Despite its importance, there remains a notable lack of comprehensive research on the statistical inference of MCC.
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