Molecular techniques in fungal detection and identification represent an efficient complementary diagnostic tool which is increasingly used to overcome limitations of routinely used culture techniques. The aim of this study was to characterize sp. representation in samples from urine, urinary catheter, and ureteral stent biofilm using ribosomal DNA (rDNA) amplification followed by fluorescent capillary electrophoresis (f--PCR-CE) and to compare the results with those obtained by culture. A total of 419 samples were analyzed, and 106 (25.2%) were found positive, out of which 17 (16%) were polyfungal. The positivity rate did not differ between samples from catheters and stents (23.6% versus 20.9%) or between catheter and stent corresponding urine samples (40.2% versus 30.2%). Ten different species were detected, with (31.4%), (26.5%), and (12.4%) predominating. f--PCR-CE was evaluated as substantially less time-consuming and 8.3 times more sensitive than the routinely applied culture technique with 1 µl of urine/sonicated fluid inoculated, detecting 67 (19.9%) versus 8 (2.4%) positive samples out of 337 initially analyzed samples. The culture sensitivity considerably improved to 1.7 times lower than that of f--PCR-CE after the inoculation volume was increased to 100 µl in the additional 82 samples. Moreover, the molecular technique, unlike routine cultivation, enabled precise pathogen composition determination in polymicrobial samples. In conclusion, the f--PCR-CE method was shown to be a quick and efficient tool for culture-independent detection and identification of fungi in urinary tract-related samples, demonstrating a higher sensitivity than culture.
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http://dx.doi.org/10.1128/JCM.01861-18 | DOI Listing |
J Am Med Inform Assoc
January 2025
Kennewick, WA 99338, United States.
Objective: This study evaluates the utility of word embeddings, generated by large language models (LLMs), for medical diagnosis by comparing the semantic proximity of symptoms to their eponymic disease embedding ("eponymic condition") and the mean of all symptom embeddings associated with a disease ("ensemble mean").
Materials And Methods: Symptom data for 5 diagnostically challenging pediatric diseases-CHARGE syndrome, Cowden disease, POEMS syndrome, Rheumatic fever, and Tuberous sclerosis-were collected from PubMed. Using the Ada-002 embedding model, disease names and symptoms were translated into vector representations in a high-dimensional space.
Psychol Trauma
January 2025
Department of Psychology, Division of Clinical Psychology and Psychotherapy, Saarland University.
Objective: The way we interpret information shapes our perception of reality. Predictive processing frameworks propose that the ability to update interpretations based on disconfirming information is key to recovery from potentially traumatic events (PTEs). However, direct evidence for this assumption is scarce and comes from studies using paradigms with low ecological validity.
View Article and Find Full Text PDFPsychol Trauma
January 2025
Gunderson Personality Disorders Institute, McLean Hospital.
Objective: Clients with relational trauma often face challenges in forming a therapeutic alliance, a primary predictor of psychotherapy outcomes. Unresolved traumatic stress can lead to a passive stance in therapy, manifested as a tendency to seek advice and approval from therapists in order to establish more predictable relational dynamics. This comes at the cost of adequately addressing their own therapeutic needs, which often leads to stagnation, treatment dropout, and frustration with the therapist.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
College of Nursing, University of Nebraska Medical Center, Omaha, NE, United States.
Background: The known and established benefits of exercise in patients with heart failure (HF) are often hampered by low exercise adherence. Mobile health (mHealth) technology provides opportunities to overcome barriers to exercise adherence in this population.
Objective: This systematic review builds on prior research to (1) describe study characteristics of mHealth interventions for exercise adherence in HF including details of sample demographics, sample sizes, exercise programs, and theoretical frameworks; (2) summarize types of mHealth technology used to improve exercise adherence in patients with HF; (3) highlight how the term "adherence" was defined and how it was measured across mHealth studies and adherence achieved; and (4) highlight the effect of age, sex, race, New York Heart Association (NYHA) functional classification, and HF etiology (systolic vs diastolic) on exercise adherence.
Psychol Assess
January 2025
Maastricht University, Faculty of Psychology and Neuroscience, Department of Clinical Psychological Science.
Ecological momentary assessment (EMA) collects real-time data in daily life, enhancing ecological validity and reducing recall bias. An EMA questionnaire that measures symptoms and transdiagnostic factors was recently developed with network modeling purposes. This study examines this EMA protocol's (a) subjective experience (e.
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