Introduction: A major determinant of response to antidepressant drugs is how the patients use them. Our objective is to take a look over the antidepressants use in a real sample.
Methods: In determining which factors may be relevant for treatment good use, social, demographic, disease and treatment-related data were gathered from 550 patients, who were currently taking antidepressants for any motive. The questionnaire included two items, the patients' perceived difficulty of following treatment and the level of acknowledged non-compliance by the patient, which may be considered as both an indirect and guiltless way of approximating the patients' real use of treatment.
Results: Compliance was poor among the less educated, as well as those living in rural areas and in patients receiving concomitant treatment for organic diseases. Use was good in 61.5% and was particularly good among those with an affective disorder (69.8%). Among patients who did not respond to treatment, the incidence of non-compliance (49.1%) was higher than for those achieving improvement (31.2%).
Conclusions: It's important to explore and reinforce a good use of antidepressants in clinical settings and to be sure this type of treatment is necessary if the indication is not clear.
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Clin Oncol (R Coll Radiol)
December 2024
Radiation Oncology Network, Westmead Hospital, Westmead, NSW, Australia; Sydney Medical School, The University of Sydney, Camperdown, NSW 2006, Australia. Electronic address:
Aims: Unresectable cutaneous squamous cell cancer of the head and neck (HNcSCC) poses treatment challenges in elderly and comorbid patients. Radiation therapy (RT) is often employed for locoregional control. This study aimed to determine progression-free survival (PFS) and overall survival (OS) outcomes achieved with upfront RT in unresectable HNcSCC.
View Article and Find Full Text PDFBiomed Phys Eng Express
January 2025
School of Engineering and Computing, University of the West of Scotland, University of the West of Scotland - Paisley Campus, Paisley PA1 2BE, UK, City, Paisley, PA1 2BE, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.
Cancer grade classification is a challenging task identified from the cell structure of healthy and abnormal tissues. The partitioner learns about the malignant cell through the grading and plans the treatment strategy accordingly. A major portion of researchers used DL models for grade classification.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Bioelectricity Laboratory, Department of Physiology and Biophysics, School of Medicine, University of California, Irvine, CA 92697.
Loss-of-function sequence variants in , which encodes the voltage-gated potassium channel Kv1.1, cause Episodic Ataxia Type 1 (EA1) and epilepsy. Due to a paucity of drugs that directly rescue mutant Kv1.
View Article and Find Full Text PDFJ Nurs Adm
December 2024
Author Affiliations: Assistant Professor (Dr Prothero) and Nurse (Sorhus and Huefner), College of Nursing, Brigham Young University, Provo, Utah.
Objective: This study explored nurse leaders' perspectives and experiences in supporting nurses following a serious medical error.
Background: Appropriate support is crucial for nurses following an error. Authentic leadership provides an environment of psychological safety and establishes a patient safety culture.
Proc Natl Acad Sci U S A
January 2025
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Protein language models (PLMs) have demonstrated impressive success in modeling proteins. However, general-purpose "foundational" PLMs have limited performance in modeling antibodies due to the latter's hypervariable regions, which do not conform to the evolutionary conservation principles that such models rely on. In this study, we propose a transfer learning framework called Antibody Mutagenesis-Augmented Processing (AbMAP), which fine-tunes foundational models for antibody-sequence inputs by supervising on antibody structure and binding specificity examples.
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