Objective: Gastrointestinal dysfunction or gut failure frequently occurs in seriously ill patients and can be responsible for multi-organ failure. Trefoil factor 3 (TFF3) was characterized for its role in reconstitution of an epithelial barrier after mucosal injury in the jejunum. The aims of our study was an analysis of TFF3 levels dynamics in patients with sepsis and the correlation of TFF3 with severity of sepsis and mortality.
Methods: Prospective observational study, a ten days evaluation period in children aged 0-19 years with systemic inflammatory response syndrome or septic state. Blood tests to determine levels of TFF3 were obtained as long as the patient met the criteria for systemic inflammatory response syndrome or sepsis.
Results: Analysis of dynamics revealed steady levels of TFF3 during the 10 day period evaluated. TFF3 levels could not differentiate between various septic conditions in patients until a marked organ dysfunction developed. Higher Area Under Curve was noticed between control group and patients with sepsis. We could not make any strong conclusions based on mortality model.
Conclusions: Levels of TFF3 are elevated in paediatric patients with sepsis through organ dysfunction.
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http://dx.doi.org/10.1515/med-2015-0020 | DOI Listing |
Acta Parasitol
January 2025
Department of Biomedicine and Biotechnology, Faculty of Medicine, University of Alcala, Alcala de Henares, Spain.
Purpose: Malaria remains a major global health challenge, particularly in sub-Saharan Africa and low- and middle-income countries (LMICs), contributing substantially to mortality and morbidity rates. In resource-limited settings, access to specialized diagnostic tests is often restricted, making basic blood analysis a valuable diagnostic tool. This study investigated the correlation between malaria infection and full blood count values in a rural region of Ghana during the 2022 rainy season, aiming to highlight diagnostic insights available from routine blood analyses.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Department of Computer Science, Duke University, Durham, NC 27708, United States.
Objective: Prediction of mortality in intensive care unit (ICU) patients typically relies on black box models (that are unacceptable for use in hospitals) or hand-tuned interpretable models (that might lead to the loss in performance). We aim to bridge the gap between these 2 categories by building on modern interpretable machine learning (ML) techniques to design interpretable mortality risk scores that are as accurate as black boxes.
Material And Methods: We developed a new algorithm, GroupFasterRisk, which has several important benefits: it uses both hard and soft direct sparsity regularization, it incorporates group sparsity to allow more cohesive models, it allows for monotonicity constraint to include domain knowledge, and it produces many equally good models, which allows domain experts to choose among them.
Urol Res Pract
January 2025
Department of Urology, Universitas Sumatera Utara Hospital - Universitas Sumatera Utara, Indonesia.
Improved prostate biopsy procedures have been developed to overcome traditional limitations, aiming to enhance cancer diagnosis accuracy. To assess the existing knowledge of the effectiveness and risks linked to transperineal (TP) vs. transrectal (TR) prostate biopsy.
View Article and Find Full Text PDFFront Cell Infect Microbiol
January 2025
Department of Thoracic Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Introduction: Invasive pulmonary aspergillosis (IPA) increases the risk of mortality of critically ill patients. Diagnostic criteria specifically targeting patients in intensive care units(ICUs) have been developed to improve diagnostic sensitivity. This study investigated health outcomes among patients in ICUs with Aspergillus isolates identified using bronchoscopy.
View Article and Find Full Text PDFFront Cell Infect Microbiol
January 2025
Second Surgical Oncology Department, Regional Institute of Oncology, Iasi, Romania.
Introduction: Antibiotic overuse is driving a global rise in antibiotic resistance, highlighting the need for robust antimicrobial stewardship (AMS) initiatives to improve prescription practices. While antimicrobials are essential for treating sepsis and preventing surgical site infections (SSIs), they can inadvertently disrupt the gut microbiota, leading to postoperative complications. Treatment methods vary widely across nations due to differences in drug choice, dosage, and therapy duration, affecting antibiotic resistance rates, which can reach up to 51% in some countries.
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