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Background: Several audiovisual feedback (AVF) devices have been developed to monitor chest compression quality during cardiopulmonary resuscitation (CPR). However, most marketed stand-alone AVF devices are inflexible and rigid, causing discomfort and sometimes pain to the rescuers' hands.
Objective: The objective of this study was to evaluate the effectiveness and usability of a newly developed soft and flexible resuscitation glove designed to improve the quality of chest compressions during CPR.
Methods: We conducted a manikin-based randomized crossover study to compare the effectiveness of a newly developed AVF device (ResuGlove CPR Group) and standard CPR (Standard CPR Group) in improving the quality of chest compressions in simulated cardiac arrest cases. The usability of the newly developed ResuGlove was assessed using a System Usability Scale questionnaire.
Results: There were no significant differences in compression depth (mean, 53.69 vs 53.28; P = .70) and compression rate (mean, 111.48 vs 113.38; P = .23) between the ResuGlove CPR and Standard CPR groups. However, the group using ResuGlove had a higher percentage of complete chest releases between compressions (P = .008). Furthermore, the ResuGlove CPR Group had a significantly higher percentage of participants who performed chest compressions with adequate compression depth (82.8% vs 41.4%, P = .001) and compression rate (96.6% vs 72.4%, P = .012) compared with the Standard CPR Group. The ResuGlove usability score was calculated to be 70.4.
Conclusions: The newly developed ResuGlove significantly improved the quality of certain chest compression parameters, and the device's usability score was within the acceptable range.
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http://dx.doi.org/10.1097/JCN.0000000000001206 | DOI Listing |
Scand J Rheumatol
September 2025
The Parker Institute, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Frederiksberg, Denmark.
Objective: Pain hypersensitivity and hypersensitivity to other sensory modalities (visual, auditory, olfactory, and tactile) are considered defining features in nociplastic pain states. A self-report measure of sensory sensitivity may help to characterize sensory profiles across pain populations. This study aimed to evaluate the psychometric properties of a newly developed Danish nine-item Sensory Sensitivity Profile (SSP) questionnaire in patients with fibromyalgia.
View Article and Find Full Text PDFEur J Case Rep Intern Med
August 2025
Department of Internal Medicine, Wayne State University School of Medicine, Trinity Health Oakland Hospital, Pontiac, USA.
Background: Invasive central nervous system (CNS) aspergillosis is rare among human immunodeficiency virus (HIV)-positive patients due to preserved neutrophil function, despite significant CD4+ T-cell depletion. Diagnosis typically requires histopathologic confirmation, but polymerase chain reaction (PCR) testing has introduced new challenges due to its high sensitivity but limited specificity.
Case Presentation: We describe a newly diagnosed 43-year-old HIV-positive male with concurrent Hodgkin lymphoma who presented with progressive neurological decline and a ring-enhancing brain lesion.
J Hepatocell Carcinoma
September 2025
Department of Liver Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Objective: Anoikis is an anchorage-dependent programmed cell death implicated in multiple pathological processes of cancers; however, the prognostic value of anoikis-related genes (ANRGs) in hepatocellular carcinoma (HCC) remains unclear. Our study aims to develop an ANRGs-based prediction model to improve prognostic assessment in HCC patients.
Methods: The RNA-seq profile was performed to estimate the expression of ANRGs in HCC patients.
J Appl Stat
February 2025
Department of Mathematics and State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, People's Republic of China.
We conduct gene mutation rate estimations via developing mutual information and Ewens sampling based convolutional neural network (CNN) and machine learning algorithms. More precisely, we develop a systematic methodology through constructing a CNN. Meanwhile, we develop two machine learning algorithms to study protein production with target gene sequences and protein structures.
View Article and Find Full Text PDFFront Med (Lausanne)
August 2025
Department of Nursing, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Background: Inflammatory bowel disease (IBD) is a chronic condition characterized by the need for highly individualized treatment plans, requiring patients to make numerous complex medical decisions. Shared decision-making (SDM) has proven effective in improving treatment outcomes, patient satisfaction, and adherence in IBD management; however, its clinical implementation remains challenging. In China, formal SDM nurse roles have not yet been established.
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