Background: Survival rates of out-of-hospital cardiac arrest remain poor. Bystander cardiopulmonary resuscitation (CPR) is crucial for survival and feedback devices could improve its quality.
Objective: We investigated the quality of chest compression when using the Cardio First AngelTM (CFA) feedback device compared to standard basic life support (BLS). The analysis focused on laymen.
Methods: Laymen without (n= 43) and with (n= 96) explanation of the device, medical students (n= 128) and medical staff (n= 27) performed 60 seconds of standard versus assisted chest compression using the CFA on a resuscitation manikin. Compression frequency, depth and position were analyzed according to current guidelines.
Results: Laymen showed significantly better success rates regarding correct compression depth when using the CFA (23.3% vs. 55.8%, p= 0.004 and 25.0% vs. 52.1%, p< 0.001, laymen without and with explanation of the device, respectively). Medical students likewise improved (22.7% vs. 42.2%, p= 0.004). Hand positioning was 100% correct in all groups with the device. Improvement in frequency yielded by the CFA was more pronounced for probands with fears of contact (p= 0.02). The benefit of using the device did not differ significantly in laymen with or without explanation.
Conclusions: Chest compression as performed by laymen was significantly improved with regard to compression depth when using the CFA for guidance and feedback. With the device, no cases of incorrect hand positioning occurred in any group.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.3233/THC-170862 | DOI Listing |
Turk J Emerg Med
January 2025
Department of Emergency, University of Health Sciences, Sultan 2. Abdülhamid Han Research and Training Hospital, Istanbul, Türkiye.
Objectives: Delivering chest compressions (CCs) at the targeted depth and rate is a crucial aspect of maintaining the quality of cardiopulmonary resuscitation (CPR). Although administering CCs on a firm surface is recommended, it may not always be feasible. This study aimed to determine whether the underlying surface affects CC depth and rate using a real-time feedback device.
View Article and Find Full Text PDFBMC Emerg Med
January 2025
Department of Emergency Medicine, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, No.138, Sheng Li Road, Tainan city, 704, Taiwan.
Background: Out-of-hospital cardiac arrest (OHCA) presents significant challenges with low survival rates, emphasizing the need for effective bystander CPR training. In Basic Life Support (BLS) training, the role of instructors is pivotal as they assess and correct learners' cardiopulmonary resuscitation (CPR) techniques to ensure proficiency in life-saving skills. This study evaluates the concordance between CPR quality assessments by Basic Life Support (BLS) instructors and those determined through Quantitative CPR (QCPR) devices, utilizing data from BLS courses conducted at National Cheng Kung University Hospital from October 2017 to April 2018.
View Article and Find Full Text PDFAnn Vasc Surg
January 2025
Black Country Vascular Network, Russells Hall Hospital, Dudley, UK.
Objective: Thoracic outlet syndrome (TOS) is caused by compression of the neurovascular bundle at the thoracic outlet which often poses a diagnostic challenge. Patient management is often based on surgeon choice and experience. This study aims to describe practices relating to the diagnosis and management of TOS in the UK over a 1-year period.
View Article and Find Full Text PDFRepositioning a patient from the prone to supine position can delay the initiation of cardiopulmonary resuscitation (CPR). Investigators used high-fidelity simulation to assess the time to initiate chest compressions and the time during which compressions did not occur for supine and prone CPR. Sixty participants completed a knowledge assessment before and after attending an education session and completing two simulations (ie, supine, prone).
View Article and Find Full Text PDFJ Comput Assist Tomogr
January 2025
Department of Radiological Sciences.
Objective: This study evaluated the performance of a deep learning-based vertebral compression fracture (VCF) detection tool in patients with incidental VCF. The purpose of this study was to validate this tool across multiple sites and multiple vendors.
Methods: This was a retrospective, multicenter, multinational blinded study using anonymized chest and abdominal CT scans performed for indications other than VCF in patients ≥50 years old.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!