Background: Mechanical power is a promising new metric to assess energy transfer from a mechanical ventilator to a patient, which combines the contributions of multiple parameters into a single comprehensive value. However, at present, most ventilators are not capable of calculating mechanical power automatically, so there is a need for a simple equation that can be used to estimate this parameter at the bedside. For volume-controlled ventilation (VCV), excellent equations exist for calculating power from basic ventilator parameters, but for pressure-controlled ventilation (PCV), an accurate, easy-to-use equation has been elusive.
Results: Here, we present a new power equation and evaluate its accuracy compared to the three published PCV power equations. When applied to a sample of 50 patients on PCV with a non-zero rise time, we found that our equation estimated power within an average of 8.4% ± 5.9% (mean ± standard deviation) of the value obtained by numerical integration of the P-V loop. The other three equations estimated power with an error of 19.4% ± 12.9% (simplified Becher equation), 10.0% ± 6.8% (comprehensive Becher equation), and 16.5% ± 14.6% (van der Meijden equation).
Conclusions: Our equation calculates power more accurately than the other three published equations, and is much easier to use than the only previously published equation with similar accuracy. The proposed new mechanical power equation is accurate and simple to use, making it an attractive option to estimate power in PCV cases at the bedside.
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http://dx.doi.org/10.1186/s40635-022-00448-5 | DOI Listing |
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Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Addressing irregular bone defects is a formidable clinical challenge, as traditional scaffolds frequently fail to meet the complex requirements of bone regeneration, resulting in suboptimal healing. This study introduces a novel 3D-printed magnesium scaffold with hierarchical structure (macro-, meso-, and nano-scales) and tempered degradation (microscale), intricately customized at multiple scales to bolster bone regeneration according to patient-specific needs. For the hierarchical structure, at the macroscale, it can feature anatomic geometries for seamless integration with the bone defect; The mesoscale pores are devised with optimized curvature and size, providing an adequate mechanical response as well as promoting cellular proliferation and vascularization, essential for natural bone mimicry; The nanoscale textured surface is enriched with a layered double hydroxide membrane, augmenting bioactivity and osteointegration.
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Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Sci Rep
January 2025
Department Emergency and Critical Care Medicine, Changhua Christian Hospital, Changhua, 50006, Taiwan.
Extracorporeal cardiopulmonary resuscitation (ECPR) improves survival for prolonged cardiac arrest (CA) but carries significant risks and costs due to ECMO. Previous predictive models have been complex, incorporating both clinical data and parameters obtained after CPR or ECMO initiation. This study aims to compare a simpler clinical-only model with a model that includes both clinical and pre-ECMO laboratory parameters, to refine patient selection and improve ECPR outcomes.
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Faculty of Chemical and Food Engineering, Bahir Dar Institute of Technology, Bahir Dar University, PO Box 26, Bahir Dar, Ethiopia; Faculty of Production and Power Engineering, University of Agriculture in Krakow, Balicka 116B, 30-149 Krakow, Poland.
With the worldwide transformation to a circular and low-carbon economy, the demand for sustainable materials has skyrocketed in recent years. Of various methods, sustainable and biodegradable biopolymers derived from renewable bioresources have received significant interest. Synthetic biodegradable biopolymers offer tremendous advantages over natural biodegradable biopolymers due to their stability, flexibility, and a wide range of achievable properties to fit several applications.
View Article and Find Full Text PDFCarbohydr Res
January 2025
School of Exact, Chemical and Life Sciences, Misiones National University, Félix de Azara 1552, N3300LQH, Posadas, Misiones, Argentina.
The objective of the present study was to optimize an enzymatic starch extraction process from cassava roots using a polyglacturonase (PGase) from a wild yeast strain (Wickerhanomyces anomalus). The supernatant of W. anomalus culture, with PGase activity, was used as source of enzyme (enzymatic extract, EE).
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