Many infections caused by Shiga toxin-producing Escherichia coli (STEC) are undiagnosed, particularly non-O157 STEC. We evaluated the use of a multiple protocol approach to improve diagnosis, isolation, and characterization of STEC strains. Among 18 presumptive STEC-positive stool samples received by the INOVA Fairfax Hospital, Falls Church, VA, in 2006, 16 were Shiga toxin positive. From these 16 stool samples, 8 O157:H7 and 5 non-O157 STEC were isolated by plating onto sorbitol MacConkey (SMAC) agar. The remaining 5 stool samples that did not yield colonies on SMAC agar plates were enriched. All enriched samples were Shiga toxin positive, and 2 O157:H7 and 1 non-O157 STEC were subsequently isolated. The 2 remaining enriched samples did not yield isolates; however, based on polymerase chain reaction (PCR) analysis, both samples contained STEC genes. Based on PCR analysis of non-O157 strains, 3 strain types were identified. Samples from 3 patients, received within 2 days of one another, had a similar gene profile-eae and stx(1) negative and stx(2) positive-suggesting that these patients were likely infected with the same strain. Our results indicate that a multiple protocol approach is necessary to reliably diagnose and isolate STEC strains, and that PCR profiling of strains could allow for more rapid identification of outbreaks.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.diagmicrobio.2008.05.001 | DOI Listing |
Stroke
January 2025
Department of Clinical Neuroscience and Therapeutics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Japan (M.T., T.N., S.A., H.M.).
Background: Synthetic magnetic resonance imaging (MRI) is an innovative MRI technology that enables the acquisition of multiple quantitative values, including T1 and T2 values, proton density, and myelin volume, in a single scan. Although the usefulness of myelin measurement with synthetic MRI has been reported for assessing several diseases, investigations in patients with stroke have not been reported. We aimed to explore the utility of myelin quantification using synthetic MRI in predicting outcomes in patients with acute ischemic stroke.
View Article and Find Full Text PDFCurr Med Imaging
January 2025
Department of Radiology and Medical Imaging, King Saud University Medical City, King Saud University, Riyadh, KSA.
Background: Multiple sclerosis (MS) is one of the most common disabling central nervous system diseases affecting young adults. Magnetic resonance imaging (MRI) is an essential tool for diagnosing and following up multiple sclerosis. Over the years, many MRI techniques have been developed to improve the sensitivity of MS disease detection.
View Article and Find Full Text PDFJ Appl Clin Med Phys
January 2025
Medical Physics Section, OHS Department, Hamad Medical Corporation, Doha, Qatar.
Purpose: To evaluate image quality (IQ) of for-processing (raw) and for-presentation (clinical) radiography images, under different exposure conditions and digital image post-processing algorithms, using a phantom that enables multiple detection tasks.
Methods: A modified version of the radiography phantom described in the IAEA Human Health Series No. 39 publication was constructed, incorporating six additional Aluminum (Al) targets of thicknesses both smaller and larger than the standard one.
Adv Mater
January 2025
Institute for Carbon Neutralization Technology, College of Chemistry and Materials Engineering, Wenzhou University, Wenzhou, Zhejiang, 325035, China.
Closed-loop transformation of raw materials into high-value-added products is highly desired for the sustainable development of the society but is seldom achieved. Here, a low-cost, solvent-free and "zero-waste" mechanochemical protocol is reported for the large-scale preparation of cathode materials for sodium-ion batteries (SIBs). This process ensures full utilization of raw materials, effectively reduces water consumption, and simplifies the operating process.
View Article and Find Full Text PDFBMJ Open
December 2024
Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Introduction: Deficits in decision-making (DM) can lead to adverse outcomes across multiple domains such as financial management and medical care. By hindering such DM abilities, cognitive impairment (CI) often affects quality of life. Routine screening for CI, however, does not include systematic and comprehensive assessment of DM ability.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!