We validated a clinical prediction rule for based on clinical parameters (dry cough, fever) and laboratory findings (C-reactive protein, lactate dehydrogenase, sodium, platelet counts) in 713 consecutive patients with community-acquired pneumonia. The Score performed well in estimating the likelihood for infection and thus may help to direct diagnostic and therapeutic decisions.
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http://dx.doi.org/10.1093/ofid/ofz268 | DOI Listing |
Sci Rep
December 2024
Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
The Epstein-Barr virus (EBV) is widespread and has been related to a variety of malignancies as well as infectious mononucleosis. Despite the lack of a vaccination, antiviral medications offer some therapy alternatives. The EBV BZLF1 gene significantly impacts viral replication and infection severity.
View Article and Find Full Text PDFClin Transplant
January 2025
Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA.
Purpose: This study aimed to assess whether kidney stone burden and risk factors at the time of kidney donor evaluation were associated with a symptomatic stone event post-donor evaluation.
Methods: We identified adults evaluated at Mayo Clinic (two sites) (2000-2011) for living kidney donation and had either a personal history or radiological evidence of kidney stone disease. We analyzed demographics, stone risk factors, stone number/size, and the committee's donation decision and reasons.
BMC Med Res Methodol
December 2024
Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Background: Graft loss is a major health concern for kidney transplant (KTx) recipients. It is of clinical interest to develop a prognostic model for both graft function, quantified by estimated glomerular filtration rate (eGFR), and the risk of graft failure. Additionally, the model should be dynamic in the sense that it adapts to accumulating longitudinal information, including time-varying at-risk population, predictor-outcome association, and clinical history.
View Article and Find Full Text PDFMult Scler Relat Disord
December 2024
Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Marchioninistrasse 15 81377, Munich, Germany; Pettenkofer School of Public Health, Elisabeth-Winterhalter-Weg 6, 81377 Munich, Germany. Electronic address:
Background: The individual treatment response in people with relapsing-remitting multiple sclerosis (RRMS) remain unpredictable. In order to support medical decisions, we aimed to predict response to fingolimod compared to placebo, by developing and validating prognostic multivariable models.
Methods: We included two-year follow-up from intention-to-treat populations of two multi-country placebo-controlled randomized controlled trials (RCT) of daily fingolimod 0.
Sci Rep
December 2024
School of Computer Science and Information Engineering, Harbin Normal University, Harbin, 150025, China.
Accurately identifying bearing faults in aeroengines is crucial for maintaining their lifespan and cost. However, most current models are black-box models, such as deep learning models such as deep neural networks. The decision-making process of these models is more complex and lacks interpretability, which results in insufficient credibility of the results.
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