Background And Aim: The progressive and constant aging of the global population together with the economy crises and the social variations within family contexts increasingly leads to the use of external resources (Home Care Workers, HCWs) for health care within one's own family of origin. Purpose of the study is to describe Italian Home Care Workers' (HCWs) living and working conditions and understand the interactions with outcomes of the patients and informal caregiver.
Methods: Observational study with cross sectional design to evaluate the interaction of HCWs without specific training on patients and informal caregivers' outcomes.
Results: understand Italian HCWs' condition and interaction between these conditions and outcomes of patients and informal caregiver.
Conclusions: understanding how HCWs' conditions can affect outcome about patient and informal caregivers, represents a fundamental step in order to increase QoL of these families.
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http://dx.doi.org/10.23750/abm.v93iS2.12719 | DOI Listing |
Comput Med Imaging Graph
January 2025
CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China; National Key Laboratory of Kidney Diseases, Beijing 100853, China. Electronic address:
In clinical optical molecular imaging, the need for real-time high frame rates and low excitation doses to ensure patient safety inherently increases susceptibility to detection noise. Faced with the challenge of image degradation caused by severe noise, image denoising is essential for mitigating the trade-off between acquisition cost and image quality. However, prevailing deep learning methods exhibit uncontrollable and suboptimal performance with limited interpretability, primarily due to neglecting underlying physical model and frequency information.
View Article and Find Full Text PDFEur J Radiol
January 2025
Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany. Electronic address:
Objectives: Coronary CT angiography (CCTA) is an excellent tool in ruling out coronary artery disease (CAD) but tends to overestimate especially highly calcified plaques. To reduce diagnostic invasive catheter angiographies (ICA), current guidelines recommend CT-FFR to determine the hemodynamic significance of coronary artery stenosis. Photon-Counting Detector CT (PCCT) revolutionized CCTA and may improve CT-FFR analysis in guiding patients.
View Article and Find Full Text PDFAten Primaria
January 2025
Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, España; Department of Pharmacology, Therapeutics and Toxicology, Universitat Autònoma de Barcelona, Bellaterra, Cerdanyola del Vallès, Barcelona, España; Institut Català de la Salut, Barcelona, España.
Objective: To characterise patients with heart failure (HF) in Primary Health Care (PHC) and describe their socio-demographic and clinical characteristics and pharmacological treatment.
Design: Descriptive cohort study. SITE: Information System for the Development of Research in Primary Care (SIDIAP), which captures information from the electronic health records of PHC of the Catalan Institute of Health (approximately 80% of the Catalan population).
Pediatr Infect Dis J
January 2025
Cardiovascular Surgery, Gunma Children's Medical Center, Gunma, Japan.
Background: Surgical site infection (SSI) is a significant complication following pediatric cardiovascular surgery. Although drain tip cultures (DTC) are sometimes used postoperatively to predict SSIs, their diagnostic value in pediatric cardiovascular surgery remains unclear. This study aimed to assess the diagnostic utility of DTC for predicting SSIs in pediatric cardiovascular surgery patients.
View Article and Find Full Text PDFJ Neurosurg
January 2025
1Department of Neurosurgery, St. Olav's University Hospital, Trondheim, Norway.
Objective: The extent of resection (EOR) and postoperative residual tumor (RT) volume are prognostic factors in glioblastoma. Calculations of EOR and RT rely on accurate tumor segmentations. Raidionics is an open-access software that enables automatic segmentation of preoperative and early postoperative glioblastoma using pretrained deep learning models.
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