Atelectasis is common after cardiac surgery and may result in impaired gas exchange. Continuous positive airway pressure (CPAP) is often used to prevent or treat postoperative atelectasis. We hypothesized that noninvasive pressure support ventilation (NIPSV) by increasing tidal volume could improve the evolution of atelectasis more than CPAP. One-hundred-fifty patients admitted to our surgical intensive care unit (SICU) with a Radiological Atelectasis Score >or=2 after cardiac surgery were randomly assigned to receive either CPAP or NIPSV four times a day for 30 min. Positive end-expiratory pressure was set at 5 cm H(2)O in both groups. In the NIPSV group, pressure support was set to provide a tidal volume of 8-10 mL/kg. At SICU discharge, we observed an improvement of the Radiological Atelectasis Score in 60% of the patients with NIPSV versus 40% of those receiving CPAP (P = 0.02). There was no difference in oxygenation (Pao(2)/fraction of inspired oxygen at SICU discharge: 280 +/- 38 in the CPAP group versus 301 +/- 40 in the NIPSV group), pulmonary function tests, or length of stay. Minor complications, such as gastric distensions, were similar in the two groups. NIPSV was superior to CPAP regarding the improvement of atelectasis based on radiological score but did not confer any additional clinical benefit, raising the question of its usefulness for altering outcome.
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http://dx.doi.org/10.1213/01.ANE.0000130621.11024.97 | DOI Listing |
Environ Evid
January 2025
Modelling, Evidence and Policy RG, SNES, Newcastle University, Newcastle, NE1 7RU, UK.
Background: Riparian zones are vital transitional habitats that bridge the gap between terrestrial and aquatic ecosystems. They support elevated levels of biodiversity and provide an array of important regulatory and provisioning ecosystem services, of which, many are fundamentally important to human well-being, such as the maintenance of water quality and the mitigation of flood risk along waterways. Increasing anthropogenic pressures resulting from agricultural intensification, industry development and the expansion of infrastructure in tropical regions have led to the widespread degradation of riparian habitats resulting in biodiversity loss and decreased resilience to flooding and erosion.
View Article and Find Full Text PDFJ Orthop Surg Res
January 2025
1Department of Special Education and Rehabilitation, Binzhou Medical University, Yantai City, Shandong Province, China.
Objective: This study examines whether cross-education training of the healthy limb promotes cross-transfer through central nervous system stimulation, enhancing the function, kinematic parameters, dynamic balance, and plantar pressure of the affected knee joint in patients recovering from postoperative anterior cruciate ligament reconstruction (ACLR).
Methods: Forty anterior cruciate ligament reconstruction (ACLR) patients, 5-6 weeks postoperatively, were included and randomly assigned to either an experimental group (n = 20) or a control group (n = 20). The experimental group participated in six weeks of cross-education (CE) training in addition to conventional rehabilitation, while the control group received only conventional rehabilitation.
Sci Rep
January 2025
General and Digestive Unit, Central Hospital of Defense, Spanish-Ministry of Defense, Glorieta del Ejército, 1, 28047, Madrid, Spain.
This study aims to evaluate two of the most commonly used products, the collagen-based patch (Hemopatch) and the micropolysaccharide microspheres powder (Perclot), in the context of stab liver injury in pigs. The objectives of this study were to assess blood loss at various time intervals up to 24 h, survival rates, and mean arterial pressure. The research involved 18 Large-White swine.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
LMFE, Faculty of Sciences Semlalia, Cadi Ayyad University, 40000, Marrakesh, Morocco.
In the last decades, natural and anthropogenic pressures have caused observable changes in the argan landscape despite its significance in Morocco. Remote sensing data can be used to monitor these changes over time and provide information on vegetation health and land cover changes. This study assesses the performance of supervised methods (support vector machine, maximum likelihood, and minimum distance) and unsupervised classification method (Isodata) for mapping the argan forest in the Smimou area of Essaouira province using remote sensing data from Landsat-5 and Landsat-8 (1985 and 2019).
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Charles Nicolle Hospital, Tunis El Manar University, Tunis, Tunisia.
Traumatic brain injuries present significant diagnostic challenges in emergency medicine, where the timely interpretation of medical images is crucial for patient outcomes. In this paper, we propose a novel AI-based approach for automatic radiology report generation tailored to cranial trauma cases. Our model integrates an AC-BiFPN with a Transformer architecture to capture and process complex medical imaging data such as CT and MRI scans.
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