Background: There are few studies that analyze ventilation volume and pressure during CPR carried out on infants. The aim of this study was to evaluate the quality of the ventilations administered using a self-inflating bag with an endotracheal tube and a face mask in manikins. Methods: a quasi-experimental simulation study with a randomized case crossover design [endotracheal tube (ET) vs. face mask (FM)] was performed. Sixty participants who were previously trained nursing students participated in the study. The estimated air volumes breathed, and the pressure generated during each ventilation were assessed and the quality of the chest compressions was recorded. Results: the ET test presented a higher percentage of ventilations that reached the lungs (100% vs. 86%; p < 0.001), with adequate volume (60% vs. 28%; p < 0.001) in comparison to FM. Both tests presented peak pressures generated in the airway greater than 30 cm H2O (ET: 22% vs. FM: 31%; p = 0.03). Conclusions: performing quality CPR ventilations on an infant model is not an easy skill for trained nursing students. Both tests presented a significant incidence of excessive peak pressure during ventilations. Specific training, focused on quality of ventilations guided by a manometer attached to the self-inflating bag, must be considered in life support training for pediatric providers.
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http://dx.doi.org/10.3390/children9111757 | DOI Listing |
Children (Basel)
November 2024
REMOSS Research Group, Faculty of Education and Sports Sciences, University of Vigo, 36005 Pontevedra, Spain.
: This study aimed to assess the feasibility and quality of resuscitation maneuvers performed on a newborn over the mother's body while maintaining SSC and delayed cord clamping. : A randomized crossover manikin study compared standard cardiopulmonary resuscitation (Std-CPR) and cardiopulmonary resuscitation during SSC (SSC-CPR). Nursing students (n = 40) were recruited and trained in neonatal CPR.
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December 2024
Carol Davila University of Medicine and Pharmacy, Faculty of Medicine, General Surgery Department, University Emergency Hospital of Bucharest, 050098 Bucharest, Romania.
Sepsis presents significant diagnostic and prognostic challenges, and traditional scoring systems, such as SOFA and APACHE, show limitations in predictive accuracy. Machine learning (ML)-based predictive survival models can support risk assessment and treatment decision-making in the intensive care unit (ICU) by accounting for the numerous and complex factors that influence the outcome in the septic patient. A systematic literature review of studies published from 2014 to 2024 was conducted using the PubMed database.
View Article and Find Full Text PDFFront Digit Health
December 2024
Faculty of Engineering and Computing, Liwa College, Abu Dhabi, United Arab Emirates.
The evolution of artificial intelligence (AI) has revolutionised numerous aspects of our daily lives, with profound implications across various sectors, including healthcare. Although the concept of AI in healthcare was introduced in the early 1970s, the integration of this technology in healthcare is still in the evolution phase. Despite barriers, the current decade is witnessing an increased utility of AI into diverse specialities of the medical field to enhance precision medicine, predict diagnosis, therapeutic results, and prognosis; this includes respiratory medicine, critical care, and in their allied specialties.
View Article and Find Full Text PDFTrials
January 2025
Department of Physiotherapy, Melbourne School of Health Science, University of Melbourne, Melbourne, Australia.
Background: Non-invasive ventilation (NIV) uses positive pressure to assist people with respiratory muscle weakness or severe respiratory compromise to breathe. Most people use this treatment during sleep when breathing is most susceptible to instability. The benefits of using NIV in motor neurone disease (MND) are well-established.
View Article and Find Full Text PDFBMC Public Health
January 2025
School of Public Health, Heinz Mehlhorn Academician Workstation, Hainan Medical University, Haikou, 571199, Hainan, People's Republic of China.
Background: Hainan is a tropical island in China with a large migratory population. Study have reported that the blood pressure of Hainan elderly hypertensive migratory population decreased significantly, which may be related to the improvement of environment and quality of life (QoL). Understanding the changes of QoL of these people before and after coming to Hainan and its influencing factors can provide a basis for the prevention and control of hypertension.
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