A retrospective study was conducted in 22 episodes of candidemia in 445 patients with acute leukemia (AL) (incidence 4.9%) observed at our Institution between February 1996 and November 2003 to evaluate the variables related to the onset and outcome of infection. Of 22 patients, 20 (90.9%) had refractory/relapsed AL. C. albicans was responsible for 7/22 of the fungemia cases (32%) and C. non albicans for 15/22 (68%). The median absolute neutrophil count was 0.1 x10(9)/L (range 0.04-0.3) at the time of the candidemia diagnosis. The fungemia responded to antifungal therapy in 15/22 (68.1%) patients; among patients with a positive outcome of the fungemia, in 14/15 (93.3%) the neutrophil count recovered within 7 days after the diagnosis of candidemia (p < 0.05). The mortality rate due to candidemia was 31.9% (1/7: 14.2% and 6/15: 40% in the C. albicans and C. non albicans groups, respectively). In our experience the determinants of a positive outcome of fungemia were infection by the C. albicans species and recovery of the neutrophil count.
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J Med Internet Res
January 2025
Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Background: Sepsis, a critical global health challenge, accounted for approximately 20% of worldwide deaths in 2017. Although the Sequential Organ Failure Assessment (SOFA) score standardizes the diagnosis of organ dysfunction, early sepsis detection remains challenging due to its insidious symptoms. Current diagnostic methods, including clinical assessments and laboratory tests, frequently lack the speed and specificity needed for timely intervention, particularly in vulnerable populations such as older adults, intensive care unit (ICU) patients, and those with compromised immune systems.
View Article and Find Full Text PDFCurr Issues Mol Biol
January 2025
Department of Oncology and Radiotherapy, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, 35 Ceglana St., 40-515 Katowice, Poland.
Pancreatic cancer (PC) is the seventh most common cause of cancer-related death worldwide. The low survival rate may be due to late diagnosis and asymptomatic early-stage disease. Most patients are diagnosed at an advanced stage of the disease.
View Article and Find Full Text PDFCurr Stem Cell Res Ther
January 2025
Physiology Division, Zoology Department, Faculty of Science, Beni-Suef University, P.O. Box 62521, Beni-Suef, Egypt.
Introduction: Osteoarthritis (OA) is a degenerative joint disease that can affect the many tissues of the joint. There are no officially recognized disease-modifying therapies for clinical use at this time probably due to a lack of complete comprehension of the pathogenesis of the disease. In recent years, emerging regenerative therapy and treatments with stem cells both undifferentiated and differentiated cells have gained much attention as they can efficiently promote tissue repair and regeneration.
View Article and Find Full Text PDFFront Immunol
January 2025
Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Background: Leukocytes play an important role in inflammatory response after a traumatic brain injury (TBI). We designed this study to identify TBI phenotypes by clustering blood levels of various leukocytes.
Methods: TBI patients from the Medical Information Mart for Intensive Care-III (MIMIC-III) database were included.
Front Pharmacol
January 2025
The First Department of Specialty Medicine, Inner Mongolia Corps Hospital of The Chinese People's Armed Police Force, Hohhot, China.
Introduction: Eculizumab is a C5 complement inhibitor approved by the FDA for the targeted treatment of four rare diseases, paroxysmal nocturnal hemoglobinuria (PNH), atypical hemolytic uremic syndrome (aHUS), generalized myasthenia gravis (gMG), and aquaporin-4 immunoglobulin G-positive optic neuromyelitis optica spectrum disorders (AQP4-IgG+NMOSD). The current study was conducted to assess real-world adverse events (AEs) associated with eculizumab through data mining of the FDA Adverse Event Reporting System (FAERS).
Methods: Disproportionality analyses, including Reporting Ratio Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Item Gamma Poisson Shrinker (MGPS) algorithms were used to quantify the signals of eculizumab-associated AEs.
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