The CPR outcomes of online medical video instruction versus on-scene medical instruction using simulated cardiac arrest stations

Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal Adhesions

Abdominal adhesions present a diagnostic challenge, and classic imaging modalities can miss their presence. Cine-MRI, which records visceral sliding during patient-controlled breathing, has proven useful in detecting and mapping adhesions. However, patient movements can affect the accuracy of these images, despite there being no standardized algorithm for defining sufficiently high-quality images. This study aims to develop a biomarker for patient movements and determine which patient-related factors influence movement during cine-MRI. Included patients underwent cine-MRI to detect adhesions for chronic abdominal complaints, data were collected from electronic patient files and radiologic reports. Ninety slices of cine-MRI were assessed for quality, using a five-point scale to quantify amplitude, frequency, and slope, from which an image-processing algorithm was developed. The biomarkers closely correlated with qualitative assessments, with an amplitude of 6.5 mm used to distinguish between sufficient and insufficient-quality slices. In multivariable analysis, the amplitude of movement was influenced by age, sex, length, and the presence of a stoma. Unfortunately, no factor was changeable. Strategies for mitigating their impact may be challenging. This study highlights the utility of the developed biomarker in evaluating image quality and providing useful feedback for clinicians. Future studies could improve diagnostic quality by implementing automated quality criteria during cine-MRI.

Evaluation of cardiopulmonary resuscitation quality during the pandemic of COVID-19

BACKGROUND

Cardiopulmonary resuscitation (CPR) is an important technique of first aid. It is necessary to be popularized. Large-scale offline training has been affected after the outbreak of Coronavirus disease 2019 (COVID-19). Online training will be the future trend, but the quality of online assessment is unclear. This study aims to compare online and offline evaluations of CPR quality using digital simulator and specialist scoring methods.

METHODS

Forty-eight out of 108 contestants who participated in the second Chinese National CPR Skill Competition held in 2020 were included in this study. The competition comprised two stages. In the preliminary online competition, the contestants practiced on the digital simulator while the specialist teams scored live videos. The final competition was held offline, and consisted of live simulator scoring and specialist scoring. The grades of the simulator and specialists in different stages were compared.

RESULTS

There was no statistical significance for simulator grades between online and offline competition(37.7 ± 2.0 vs. 36.4 ± 3.4, p = 0.169). For specialists' grades, the video scores were lower than live scores (55.0 ± 1.4 vs. 57.2 ± 1.7, p < 0.001).

CONCLUSION

Simulator scoring provided better reliability than specialist scoring in the online evaluation of CPR quality. However, the simulator could only collect quantified data. Specialist scoring is necessary in conjunction with online tests to provide a comprehensive evaluation. A complete and standardized CPR quality evaluation system can be established by combining simulator and specialist contributions.

Application of Telemedicine for the Control of Patients with Acute and Chronic Heart Diseases

Introduction: Telemedicine (TM) has transformed the field of emergency cardiology, particularly the treatment of acute myocardial infarction (AMI). The ability to record an electrocardiogram (EKG) in the early prehospital phase, thus avoiding any delay in diagnosing myocardial infarction with direct transfer to the cath-lab for primary angioplasty, has proven to significantly reduce treatment times and mortality. Materials and Methods: We analyzed the available evidence and organizational models based on a support by TM in cardiology, including the applications of TM in cardiovascular disease based on a review of the literature. Results: The most important areas of application of TM in the field of cardiology are as follows: (1) Early prehospital diagnosis of AMI with EKG transmission; (2) Patient Remote control through wearable and devices; (3) Monitoring of patients with chronic heart failure; (4) Monitoring of patient's arrhythmias; and (5) Transmission of echo images to a III level center for a "second opinion". Conclusions: TM services should, therefore, be considered as a true diagnostic/therapeutic aspect of cardiovascular emergencies. It is necessary to educate medical staff and to provide a tempting environment for software engineers. Investing in infrastructure and equipment is imperative, as well as a positive climate for its implementation.