Objective: To determine if real-time compression feedback using a non-automated hand-held device improves patient outcomes from in-hospital cardiac arrest (IHCA).
Methods: We conducted a prospective, randomized, controlled, parallel study (no crossover) of patients with IHCA in the mixed medical-surgical intensive care units (ICUs) of eight academic hospitals. Patients received either standard manual chest compressions or compressions performed with real-time feedback using the Cardio First Angel™ (CFA) device. The primary outcome was sustained return of spontaneous circulation (ROSC), and secondary outcomes were survival to ICU and hospital discharge.
Results: One thousand four hundred fifty-four subjects were randomized; 900 were included. Sustained ROSC was significantly improved in the CFA group (66.7% vs. 42.4%, < 0.001), as was survival to ICU discharge (59.8% vs. 33.6%) and survival to hospital discharge (54% vs. 28.4%, < 0.001). Outcomes were not affected by intra-group comparisons based on intubation status. ROSC, survival to ICU, and hospital discharge were noted to be improved in inter-group comparisons of non-intubated patients, but not intubated ones.
Conclusion: Use of the CFA compression feedback device improved event survival and survival to ICU and hospital discharge.
Trial Registration: The study was registered with Clinicaltrials.gov (NCT02845011), registered retrospectively on July 21, 2016.
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http://dx.doi.org/10.1186/s40560-019-0357-5 | DOI Listing |
Sensors (Basel)
December 2024
Faculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warsaw, Poland.
We demonstrate high-resolution single-pixel imaging (SPI) in the visible and near-infrared wavelength ranges using an SPI framework that incorporates a novel, dedicated sampling scheme and a reconstruction algorithm optimized for the rapid imaging of highly sparse scenes at the native digital micromirror device (DMD) resolution of 1024 × 768. The reconstruction algorithm consists of two stages. In the first stage, the vector of SPI measurements is multiplied by the generalized inverse of the measurement matrix.
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December 2024
Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing 102617, China.
Arrhythmias are among the diseases with high mortality rates worldwide, causing millions of deaths each year. This underscores the importance of real-time electrocardiogram (ECG) monitoring for timely heart disease diagnosis and intervention. Deep learning models, trained on ECG signals across twelve or more leads, are the predominant approach for automated arrhythmia detection in the AI-assisted medical field.
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January 2025
Department of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
Background: Spinal epidural arachnoid cysts (SEACs) are rare, non-neoplastic pathologies that can cause compressive myelopathy. Preoperative identification of the exact fistula location is crucial for minimally invasive management.
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iScience
December 2024
Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, US.
Pangenome indexes are promising tools for many applications, including classification of nanopore sequencing reads. Move structure is a compressed-index data structure based on the Burrows-Wheeler Transform (BWT). It offers simultaneous O(1)-time queries and O(r) space, where r is the number of BWT runs (consecutive sequence of identical characters).
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January 2025
Christine A. Schindler is a critical care pediatric nurse practitioner, critical care advanced practice provider program director, Children's Wisconsin/Medical College of Wisconsin, and a clinical professor, Marquette University, Milwaukee, Wisconsin.
Background: The quality cardiopulmonary resuscitation (CPR) coach role was developed for hospital-based resuscitation teams. This supplementary team member (CPR coach) provides real-time, verbal feedback on chest compression quality to compressors during a cardiac arrest.
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