Access to quality spirometry is an essential objective in order to be able to minimize the underdiagnosis of respiratory diseases, especially in those that are most frequent, such as COPD and asthma. This objective can be reached in the short term, but it requires the simultaneous integration of different strategies: training of the health-care professionals who perform spirometry, definition of standards for the transmission of the information, technical requirements for acquiring apparatuses and the correct interpretation of the results. This present study shows the use of standards for the electronic exchange of clinical information. In order to normalize the treatment of the data related with spirometry and to enable the exchange of information, we have used the standard CDA R2 (Clinical Document Architecture, Release 2) of HL7 (Health Level Seven), version 3. HL7 is a product by HL7 International, a non-profit organization that deals in the production of standards in the health-care setting in order to facilitate interoperability. Furthermore, defining these standards is essential for ensuring that they are adopted by spirometer manufacturers. Be means of this process, the base is set for facilitating access to spirometry at the health-care level, while at the same time it is a fundamental technical element for designing quality control programs of the explorations.
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http://dx.doi.org/10.1016/j.arbres.2011.06.005 | DOI Listing |
Int J Pharm Pract
January 2025
School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, United Kingdom.
Objectives: To explore the perspectives of stakeholders on the General Pharmaceutical Council's revised Standards for the Initial Education and Training of Pharmacists that enable pharmacists to prescribe at the point of registration, from 2026.
Methods: This qualitative study used the Theoretical Domains Framework (TDF) to develop schedules for structured interviews that were conducted with various stakeholders and recorded via Microsoft Teams. Recordings were transcribed verbatim, checked for accuracy, and then analysed using the Framework approach, facilitated by NVIVO® software.
J Cancer Res Ther
December 2024
Department of Radiotherapy, Shandong Second Provincial General Hospital, Jinan, Shandong, People's Republic of China.
Purpose: To investigate and compare the feasibility, safety, and clinical outcomes of antegrade and retrograde laparoscopic bilateral inguinal lymphadenectomy for penile cancer.
Methods: We retrospectively analyzed the clinical data of 32 patients with penile cancer admitted between 2018 and 2022. Among them, 17 patients underwent antegrade laparoscopic inguinal lymphadenectomy (ALIL group) and 15 underwent retrograde laparoscopic inguinal lymphadenectomy (RLIL group).
J Occup Health
January 2025
Panasonic Corporation, Department Electric Works Company/Engineering Division, Osaka, Japan.
Background: Falls are among the most prevalent workplace accidents, necessitating thorough screening for susceptibility to falls and customization of individualized fall prevention programs. The aim of this study was to develop and validate a high fall risk prediction model using machine learning (ML) and video-based first three steps in middle-aged workers.
Methods: Train data (n=190, age 54.
Sports Med
January 2025
Medical Services, Real Madrid, Madrid, Spain.
Background: Aging is associated with sustained low-grade inflammation, which has been linked to age-related diseases and mortality. Long-term exercise programs have been shown to be effective to for attenuating this process; however, subsequent detraining might negate some of these benefits. Master athletes, as a model of lifelong consistent exercise practice, have been suggested to present similar inflammatory profiles to untrained young adults.
View Article and Find Full Text PDFMol Divers
January 2025
Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases Ministry of Education, Jiangxi Province Key Laboratory of Biomaterials and Biofabrication for Tissue Engineering, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Identifying drug-target binding affinity (DTA) plays a critical role in early-stage drug discovery. Despite the availability of various existing methods, there are still two limitations. Firstly, sequence-based methods often extract features from fixed length protein sequences, requiring truncation or padding, which can result in information loss or the introduction of unwanted noise.
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