Purpose: The aim of the study was to determine the clinical value of using a powered alternating pressure air mattress (P-APAM) in the prevention of pressure injury (PI) in patients at medium to high risk.
Design: Noncomparative, observational study.
Subjects And Setting: The sample comprised 86 patients who were >18 years old, were classified as having medium to high risk of PI, had no PI at baseline, and were lying more than 15 hours a day on a specific P-APAM. Data were collected between September 2018 and July 2019, in 4 nursing homes, and 1 long-term care geriatrics hospital department in France.
Methods: In addition to guideline-based care for PI prevention, patients were followed up for 35 days following placement on the P-APAM. The main outcome was the percentage of patients who developed between day 0 and day 35 at least 1 PI of at least stage 2 on the sacrum, spine, or heel. Secondary outcomes were patient assessments of comfort, caregiver satisfaction, mattress noise level, and mattress safety.
Results: No patients experienced a PI (incidence = 0%; 95% confidence interval, 0.00%-4.28%). Patients were satisfied or very satisfied with the mattress in most cases in terms of comfort (77.9%) and stability (73.0%). Patients also rated the noise level of the mattress as satisfactory or very satisfactory in all cases (100%).
Conclusion: When combined with guideline-based PI prevention measures, use of the P-APAM was associated with a low incidence of PI.
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http://dx.doi.org/10.1097/WON.0000000000001104 | DOI Listing |
Background: Type 2 diabetes mellitus (T2DM) significantly affects the quality of life (QoL), necessitating comprehensive management strategies. In resource-limited settings such as Nigeria, managing diabetes can be challenging due to limited access to medications, which impacts patients' QoL. Diabetes Self-Management Education (DSME) empowers patients through knowledge and skills, potentially improving their QoL.
View Article and Find Full Text PDFMSMR
December 2024
Epidemiology and Analysis Branch, Armed Forces Health Surveillance Division, Defense Health Agency, U.S. Department of Defense, Silver Spring, MD.
Early evidence suggests that COVID-19 is linked to kidney-related events in older and hospitalized patients. This link has not, however, been explored among a younger, healthy population such as U.S.
View Article and Find Full Text PDFBrief Funct Genomics
December 2024
Department of Machine Learning, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa FL 33612, United States.
Objective: The primary objective of this study is to investigate various applications of artificial intelligence (AI) and statistical methodologies for analyzing and managing peritoneal metastases (PM) caused by gastrointestinal cancers.
Methods: Relevant keywords and search criteria were comprehensively researched on PubMed and Google Scholar to identify articles and reviews related to the topic. The AI approaches considered were conventional machine learning (ML) and deep learning (DL) models, and the relevant statistical approaches included biostatistics and logistic models.
Catheter Cardiovasc Interv
December 2024
Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Background: Extubation of the coronary guiding catheter may affect flow and pressure measurements in the coronary vessel during invasive coronary angiography (ICA).
Aim: This study aims to investigate the impact of guiding catheter extubation on fractional flow reserve (FFR), coronary flow reserve (CFR), and the index of microcirculatory resistance (IMR).
Methods: This predefined subgroup analysis of the Dan-NICAD 2 study included patients with chronic coronary syndrome referred to ICA based on a coronary computed tomography angiography.
Adv Sci (Weinh)
December 2024
Department of Pharmacy, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.
Drug resistance is an important factor for prostate cancer (PCa) to progress into refractory PCa, and abnormal lipid metabolism usually occurs in refractory PCa, which presents great challenges for PCa therapy. Here, a cluster of differentiation 36 (CD36) inhibitor sulfosuccinimidyl oleate sodium (CD36i) and stearoyl-CoA desaturase 1 (SCD1) siRNA (siSCD1) are selected to inhibit lipid uptake and synthesis in PCa, respectively. To this end, a multiresponsive drug delivery nanosystem, HA@CD36i-TR@siSCD1 is designed.
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