Article
Critical Care Medicine
Sandra Rossi, Maria Michela Palumbo, Nicola Sverzellati, Mattia Busana, Laura Malchiodi, Paolo Bresciani, Patrizia Ceccarelli, Emanuele Sani, Federica Romitti, Matteo Bonifazi, Simone Gattarello, Irene Steinberg, Paola Palermo, Stefano Lazzari, Francesca Collino, Massimo Cressoni, Peter Herrmann, Leif Saager, Konrad Meissner, Michael Quintel, Luigi Camporota, John J. Marini, Luciano Gattinoni
Summary: This study aimed to investigate the mechanisms of oxygenation response to proning and recruitment maneuvers in patients with COVID-19 pneumonia. The findings indicate that the balance between resolution of dorsal atelectasis and formation of ventral atelectasis may play a key role in determining oxygenation responses. Patients assessed during the third week showed higher levels of consolidated tissue, potentially leading to fibrotic-like changes in the lung over time.
INTENSIVE CARE MEDICINE
(2022)
Article
Critical Care Medicine
Shannon M. Fernando, Eddy Fan, Bram Rochwerg, Karen E. A. Burns, Laurent J. Brochard, Deborah J. Cook, Allan J. Walkey, Niall D. Ferguson, Catherine L. Hough, Daniel Brodie, Andrew J. E. Seely, Venkatesh Thiruganasambandamoorthy, Jeffrey J. Perry, Alexandre Tran, Peter Tanuseputro, Kwadwo Kyeremanteng
Summary: The study showed that the use of lung-protective ventilation in the emergency department can lead to lower hospital mortality, decreased incidence of ARDS, shorter mechanical ventilation and hospital stay durations, and reduced total hospital costs for invasively ventilated patients.
Article
Critical Care Medicine
Scott J. Millington, Pierre Cardinal, Laurent Brochard
Summary: Although maintaining positive end-expiratory pressure (PEEP) is necessary for ARDS patients, selecting and titrating a specific level remains challenging. The popular open lung approach has biological plausibility but carries risks, and there is a lack of evidence-based guidance for initial PEEP settings. We propose a practical approach based on simple measurements to achieve a balance between the risks and benefits of PEEP.
Review
Medicine, General & Internal
Adnan Liaqat, Matthew Mason, Brian J. J. Foster, Sagar Kulkarni, Aisha Barlas, Awais M. M. Farooq, Pooja Patak, Hamza Liaqat, Rafaela G. G. Basso, Mohammed S. S. Zaman, Dhaval Pau
Summary: Mechanical ventilatory strategies, such as using low tidal volumes and optimizing positive end expiratory pressure (PEEP), are crucial for managing ARDS and reducing morbidity and mortality. The role of other ventilatory strategies is still unclear.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Critical Care Medicine
V. Marco Ranieri, Tommaso Tonetti, Paolo Navalesi, Stefano Nava, Massimo Antonelli, Antonio Pesenti, Giacomo Grasselli, Domenico Luca Grieco, Luca Salvatore Menga, Lara Pisani, Annalisa Boscolo, Nicolo Sella, Laura Pasin, Chiara Mega, Giacinto Pizzilli, Alessio Dell'Olio, Roberto Dongilli, Paola Rucci, Arthur S. Slutsky
Summary: Broadening the definition of ARDS to include patients on HFNO with Pa-O2/FIO2 <= 300 may help identify patients in the early stages of the disease with lower mortality rates.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
(2022)
Correction
Critical Care Medicine
Mathieu Blot, Marine Jacquier, Ludwig-Serge Aho Glele, Guillaume Beltramo, Maxime Nguyen, Philippe Bonniaud, Sebastien Prin, Pascal Andreu, Belaid Bouhemad, Jean-Baptiste Bour, Christine Binquet, Lionel Piroth, Jean-Paul Pais de Barros, David Masson, Jean-Pierre Quenot, Pierre-Emmanuel Charles
Summary: An amendment to this paper has been published and is accessible through the original article.
Article
Critical Care Medicine
Pedro D. Wendel Garcia, Alessio Caccioppola, Silvia Coppola, Tommaso Pozzi, Arianna Ciabattoni, Stefano Cenci, Davide Chiumello
Summary: This study identified two distinct pulmonary phenotypes of acute respiratory distress syndrome based on respiratory mechanics, gas-exchange, and computed tomography-derived variables. These phenotypes showed diverse responses to a standardized recruitment maneuver and differed in mortality outcomes. The identification of these phenotypes could help improve future clinical trials on mechanical ventilation strategies in ARDS.
Review
Critical Care Medicine
Dipayan Chaudhuri, Kiyoka Sasaki, Aram Karkar, Sameer Sharif, Kimberly Lewis, Manoj J. Mammen, Paul Alexander, Zhikang Ye, Luis Enrique Colunga Lozano, Marie Warrer Munch, Anders Perner, Bin Du, Lawrence Mbuagbaw, Waleed Alhazzani, Stephen M. Pastores, John Marshall, Francois Lamontagne, Djillali Annane, Gianfranco Umberto Meduri, Bram Rochwerg
Summary: The study found that corticosteroids may reduce mortality in patients with ARDS, with a longer course of treatment showing better results. The effect of corticosteroids was consistent across patients with COVID-19 and non-COVID-19 ARDS, different types and dosages of corticosteroids.
INTENSIVE CARE MEDICINE
(2021)
Article
Respiratory System
Linfu Bai, Fei Ding, Weiming Xiong, Weiwei Shu, Lei Jiang, Yuliang Liu, Jun Duan
Summary: The use of noninvasive ventilation (NIV) in patients with moderate to severe ARDS is controversial. The HACOR score can be used to assess the efficacy of NIV in ARDS patients with PaO2/FiO(2) ≤ 150 mmHg. NIV failure is high among these patients, and delayed intubation is associated with increased mortality. A reduction in HACOR score after 1-2 hours of NIV can identify patients who respond well to NIV.
THERAPEUTIC ADVANCES IN RESPIRATORY DISEASE
(2022)
Article
Critical Care Medicine
Daan F. L. Filippini, Elisa Di Gennaro, Rombout B. E. van Amstel, Ludo F. M. Beenen, Salvatore Grasso, Luigi Pisani, Lieuwe D. J. Bos, Marry R. Smit
Summary: This study identified recruitable and non-recruitable subphenotypes in patients with COVID-19-related ARDS, which is consistent with previous studies in non-COVID-19-related ARDS. Combining imaging and clinical respiratory parameters can help identify recruitable lungs before the manoeuvre.
Review
Medicine, General & Internal
Salvatore Lucio Cutuli, Domenico Luca Grieco, Teresa Michi, Melania Cesarano, Tommaso Rosa, Gabriele Pintaudi, Luca Salvatore Menga, Ersilia Ruggiero, Valentina Giammatteo, Giuseppe Bello, Gennaro De Pascale, Massimo Antonelli
Summary: Acute respiratory distress syndrome (ARDS) is a leading cause of disability and mortality worldwide. Noninvasive and invasive respiratory support strategies are life-saving interventions, but their inappropriate management may lead to disease progression. A physiology-based approach and tools for identifying ARDS sub-phenotypes can help deliver personalized respiratory support and improve patient outcomes.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Medicine, General & Internal
George Karlis, Despina Markantonaki, Sotirios Kakavas, Dimitra Bakali, Georgia Katsagani, Theodora Katsarou, Christos Kyritsis, Vasiliki Karaouli, Paraskevi Athanasiou, Mary Daganou
Summary: Extending the duration of prone position ventilation in COVID-19-associated ARDS is as safe and effective as conventional prone ventilation, but does not improve survival.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Medicine, Research & Experimental
Johannes Geilen, Matthias Kainz, Bernhard Zapletal, Silvana Geleff, Wilfried Wisser, Barbara Bohle, Thomas Schweiger, Marcus J. Schultz, Edda Tschernko
Summary: This study developed a method of creating a unilateral acute lung injury model in pigs and evaluated the key parameters. The experiment confirmed the successful induction of unilateral lung injury in pigs using this model, reducing the number of animals required for experiments while obtaining valid conclusions. The results of the study suggest that this model has good clinical application value.
JOURNAL OF TRANSLATIONAL MEDICINE
(2022)
Article
Cardiac & Cardiovascular Systems
Zichen Wang, Luming Zhang, Tao Huang, Rui Yang, Hongtao Cheng, Hao Wang, Haiyan Yin, Jun Lyu
Summary: This study aims to develop an explainable model using machine learning approach to predict the duration of mechanical ventilation (MV) in patients with acute respiratory distress syndrome (ARDS). The XGBoosting model showed the most stable and accurate performance among the tested datasets. The model uses features at MV initiation to accurately predict MV duration in ARDS patients.
Article
Medicine, General & Internal
Jean-Baptiste Lascarrou, Aurelie Gaultier, Thibaud Soumagne, Nicolas Serck, Bertrand Sauneuf, Michael Piagnerelli, Andre Ly, Francois Lejeune, Laurent Lefebvre, Sami Hraiech, Geoffrey Horlait, Julien Higny, Alain D'hondt, Stephane Gaudry, Romain Courcelle, Giuseppe Carbutti, Gauthier Blonz, Gregoire Ottavy, Nadia Aissaoui, Christophe Vinsonneau, Benoit Vandenbunder, Julien Textoris, Piotr Szychowiak, David Grimaldi
Summary: Different phenotypes have been identified in COVID-19 patients with moderate to severe ARDS, with one phenotype characterized by older patients with comorbidities, rapid disease progression, and poor prognosis. Further investigation is needed to determine appropriate treatments and ventilatory strategies for each phenotype.
FRONTIERS IN MEDICINE
(2021)
Article
Endocrinology & Metabolism
Alexander D. McHugh, J. Geoffrey Chase, Jennifer L. Knopp, Tony Zhou, Lui Holder-Pearson
Summary: This study uses model-based methods to determine the expected proportion of active insulin present from a needle-free subcutaneous dose. The results suggest potential losses of up to 22% of the dose, with variability among subjects and trials. By quantifying and accounting for variability of needle-free subcutaneous insulin doses, better glycemic management outcomes may be achieved.
JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Liam Murphy, J. Geoffrey Chase
Summary: This study proposes a novel method for accurately estimating central blood pressure using only a single peripheral pressure measurement, without the need for additional clinical measurements. The method allows for the individualization of transfer functions to better capture changes in patient condition during disease progression and treatment.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Computer Science, Interdisciplinary Applications
Nor Azlan Othman, Muhammad Amirul Aizad Shaharul Azhar, Nor Salwa Damanhuri, Iqmal Ammar Mahadi, Mohd Hussaini Abbas, Sarah Addyani Shamsuddin, J. Geoffrey Chase
Summary: This research proposes an alternative approach using artificial neural networks (ANN) to identify insulinemic pharmacokinetic parameters. The results show that ANN method outperforms the linear least squares method in terms of model fitting accuracy and residual error, making it more reliable.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Biology
T. Zhou, M. Boettger, Jennifer L. Knopp, M. Lange, A. Heep, J. Geoffrey Chase
Summary: Hyperglycaemia is a common problem in neonatal intensive care units (NICUs) and achieving good control is difficult. This study combines a well-validated NICU metabolic model with subcutaneous insulin kinetics models to assess the feasibility of a model-based approach. The results show that the model accurately captures glucose and insulin dynamics, justifying further research and validation to explore a model-based protocol.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Engineering, Multidisciplinary
Mohammad Rabiepour, Cong Zhou, James Geoffrey Chase
Summary: This paper proposes a mechanics-based framework for creating digital twin models of earthquake-affected pinched structures. It utilizes robust structural health monitoring (SHM) results from hysteresis loop analysis to predict the nonlinear dynamic responses of damaged structures under future seismic events. Validation using real-world data shows accurate predictions with correlation coefficients of 0.95 and 0.97 between predicted and measured inter-story displacements. The framework's accuracy in capturing inter-story drift ratios makes it a promising tool for assessing structural collapse risk and financial risks.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Acoustics
Zhi Q. Tan, Ean H. Ooi, Yeong S. Chiew, Ji J. Foo, Eddie Y. K. Ng, Ean T. Ooi
Summary: Sonothrombolysis is a technique that uses ultrasonic waves and microbubbles to dissolve blood clots. The optimal ultrasound and microbubble parameters for this technique remain a challenge to determine. In this study, a computational framework was developed to simulate microbubble-mediated sonothrombolysis and investigate the effects of ultrasound pressure, frequency, microbubble radius, and concentration on clot dissolution. The results revealed the dominant role of ultrasound pressure, the potential benefits of smaller microbubbles at higher pressure, the positive impact of higher microbubble concentration, and the dependence of ultrasound frequency on acoustic attenuation. These findings provide important insights for the clinical implementation of sonothrombolysis.
Review
Green & Sustainable Science & Technology
Daniel Bishop, J. Geoffrey Chase
Summary: Despite their high-resolution and accuracy, luminance map measurement and design measures are rarely used in professional practice due to limited knowledge and difficulty in assessing their sufficiency and justification compared to illuminance-based practice. This paper reviews current practice and presents alternative luminance design measures and human needs for lighting to construct a framework for designing and comparing lighting design methods. It concludes by presenting a new and more accurate luminance-based lighting method enabled by emerging low-cost and accessible technologies, providing the metrics and framework to bring more complete and effective luminance-based lighting design into practice.
Article
Construction & Building Technology
Daniel Bishop, J. Geoffrey Chase
Summary: This study introduces a low-cost custom luminance imaging device that can provide comparable accuracy and performance to higher-cost technologies, reducing the cost barrier for luminance imaging and improving lighting design and practices.
Article
Computer Science, Interdisciplinary Applications
Balazs Benyo, Bela Palancz, Akos Szlavecz, Balint Szabo, Katalin Kovacs, J. Geoffrey Chase
Summary: The STAR protocol is a model-based glycemic control protocol used to treat stress-induced hyperglycemia in ICUs. This study introduces two neural network-based methods for predicting patient insulin sensitivity parameter and compares their accuracy with current model-based predictions. The findings suggest that these methods could be a promising alternative for patient state prediction in model-based clinical treatment.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Computer Science, Interdisciplinary Applications
Christopher Yew Shuen Ang, Yeong Shiong Chiew, Xin Wang, Ean Hin Ooi, Mohd Basri Mat Nor, Matthew E. Cove, J. Geoffrey Chase
Summary: This research presents a realistic, time-varying mechanically ventilated respiratory failure virtual patient profile synthesised using a stochastic model. The stochastic model accurately generates future respiratory elastance data based on current values, allowing for the simulation and validation of virtual trials. The development of temporal virtual patients using stochastic simulation alleviates the need for lengthy and costly clinical trials, ultimately leading to improved patient care and outcomes in mechanical ventilation.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Computer Science, Hardware & Architecture
Yohanathan P. S. Kumaran, Chee Pin Tan, Yeong Shiong Chiew, Wen-Shyan Chua
Summary: This article presents an online method to quantify backlash and predict the remaining useful life (RUL) in industrial robots using standard available sensors. It models the input torque oscillations and estimates them with an unknown input observer to detect and quantify the backlash. A health indicator (HI) is plotted over time and a failure threshold is set based on historical data. Finally, an exponential degradation model is used to predict the RUL of the robot joint.
IEEE TRANSACTIONS ON RELIABILITY
(2023)
Article
Chemistry, Analytical
Herag Arabian, Tamer Abdulbaki Alshirbaji, Ramona Schmid, Verena Wagner-Hartl, J. Geoffrey Chase, Knut Moeller
Summary: Emotional intelligence aims to bridge the gap between human and machine interactions, and its application in digital health has gained prominence. This study presents a system that utilizes physiological signal data, such as electrodermal activity and electrocardiogram, to identify and classify emotional reactions, as well as measure their arousal strength. The system demonstrates good performance in emotion detection and can be integrated into therapeutic settings to monitor and guide patients' emotional responses.
Article
Chemistry, Multidisciplinary
Herag Arabian, Alberto Battistel, J. Geoffrey Chase, Knut Moeller
Summary: This study developed an attention module with a guidance strategy for facial emotion recognition. The module showed better performance compared to other popular attention modules, highlighting the effectiveness of guiding the model.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Multidisciplinary
Christopher Yew Shuen Ang, Yeong Shiong Chiew, Xin Wang, Mohd Basri Mat Nor, J. Geoffrey Chase
Summary: Stochastic models for predicting intra-patient respiratory system elastance (Ers) in mechanically ventilated patients have been developed using small cohorts, resulting in potential bias and overestimation. This research investigates the effect of tuning the kernel density estimator (KDE) parameter with a constant, c, on the performance of a 30-min interval Ers stochastic model. By developing variations of the stochastic model using different KDE parameters, model bias and overestimation were evaluated. The optimization of the KDE parameter enables more accurate and robust Ers stochastic models, even with limited training data availability.
RESULTS IN ENGINEERING
(2023)
Review
Chemistry, Multidisciplinary
Yun-Peng Su, Xiao-Qi Chen, Cong Zhou, Lui Holder Pearson, Christopher G. Pretty, J. Geoffrey Chase
Summary: With the rapid development of space exploration, deep-sea discovery, nuclear rehabilitation and management, and robotic-assisted medical devices, there is an increasingly urgent need for humans to interactively control robotic systems to perform precise remote operations. Robotic teleoperation satisfies the demands of scenarios where human access carries risk but human intelligence is required. Extended reality (XR) technology enhances human-robot interaction and provides a sense of presence by integrating real-world information with computer-generated graphics.
APPLIED SCIENCES-BASEL
(2023)
