Publications by authors named "Diederik Gommers"

Introduction: Severe COVID-19 is associated with reduced absolute lymphocyte counts, suggesting that lymphocyte subsets may serve as predictors of clinical outcomes in affected patients. Early identification of patients at risk for severe disease is crucial for optimizing care, accurately informing patients and their families, guiding therapeutic interventions, and improving patient flow in the ED. Given that immunosuppressive drugs significantly impact lymphocyte profiles, we aimed to determine the association between prior use of immunosuppressive drugs, lymphocyte subsets, and COVID-19 severity in our population with a high prevalence of immunosuppression.

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Background: Extended reality (XR), encompassing technologies such as virtual reality, augmented reality, and mixed reality, has rapidly gained prominence in health care. However, existing XR research often lacks rigor, proper controls, and standardization.

Objective: To address this and to enhance the transparency and quality of reporting in early-phase clinical evaluations of XR applications, we present the "Reporting for the early-phase clinical evaluation of applications using extended reality" (RATE-XR) guideline.

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  • ECMO (Extracorporeal Membrane Oxygenation) has high complication rates, prompting the need for improved management strategies, which led to the development of the REMAP ECMO platform to investigate effective patient management techniques.* -
  • The REMAP ECMO platform allows for multiple adaptive randomized controlled trials, with the first focusing on the effects of early left ventricular unloading via intra-aortic balloon pumping compared to ECMO alone for cardiogenic shock patients in the ICU.* -
  • The primary outcome aims to determine successful weaning from ECMO at 30 days, while secondary outcomes include intervention needs, survival rates, and quality of life, all analyzed using a flexible Bayesian statistical framework.*
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  • * Our research identified four types of sonic ambiances (Comfortable, Pleasurable, Motivating, Stimulating) and established design parameters to create these through sound.
  • * The study found a strong link between the pleasantness of soundscapes and listener pleasure, plus a moderate link between eventfulness and arousal, suggesting a need-driven approach could effectively support ICU patients.
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. Geometrical region of interest (ROI) selection in electrical impedance tomography (EIT) monitoring may lack sensitivity to subtle changes in ventilation distribution. Therefore, we demonstrate a new physiological method for ROI definition.

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  • This study looks at how AI (artificial intelligence) can help doctors take care of very sick babies and kids, but it's not used much in real hospitals yet.
  • They reviewed a lot of research and found that most studies are still just testing ideas and have problems with bias, meaning they might not be very reliable.
  • The researchers say we need better plans to connect AI technology from labs to hospitals so it can really help improve patient care.
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  • * Conducted across 34 centers globally from 2000 to 2020, the study included over 2,000 adult patients split into different ECMO duration groups, revealing higher complications and mortality rates associated with longer ECMO durations.
  • * The findings suggest that while most in-hospital complications increase with ECMO duration, post-discharge survival rates remain similar across groups, with specific risk factors like age and pre-existing conditions affecting long-term survival for those on ECMO longer than 7 days.
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AI holds the potential to transform healthcare, promising improvements in patient care. Yet, realizing this potential is hampered by over-reliance on limited datasets and a lack of transparency in validation processes. To overcome these obstacles, we advocate the creation of a detailed registry for AI algorithms.

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  • * Key facilitators identified include a user-friendly interface, easy login processes, thorough training, and feedback from users, while barriers consist of complicated access steps and resistance to contributing diary entries.
  • * Professionals’ participation in writing diary entries is valued by ICU survivors and their relatives, highlighting a disconnect between ICU staff's perspectives and patient/family experiences.
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Electrical impedance tomography (EIT) produces clinical useful visualization of the distribution of ventilation inside the lungs. The accuracy of EIT-derived parameters can be compromised by the cardiovascular signal. Removal of these artefacts is challenging due to spectral overlapping of the ventilatory and cardiovascular signal components and their time-varying frequencies.

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Background: Prolonged weaning from mechanical ventilation is associated with poor clinical outcome. Therefore, choosing the right moment for weaning and extubation is essential. Electrical Impedance Tomography (EIT) is a promising innovative lung monitoring technique, but its role in supporting weaning decisions is yet uncertain.

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Background: The likelihood of return of spontaneous circulation with conventional advanced life support is known to have an exponential decline and therefore neurological outcome after 20 min in patients with a cardiac arrest is poor. Initiation of venoarterial ExtraCorporeal Membrane Oxygenation (ECMO) during resuscitation might improve outcomes if used in time and in a selected patient category. However, previous studies have failed to significantly reduce the time from cardiac arrest to ECMO flow to less than 60 min.

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Background: Mechanical power (MP) is the energy delivered by the ventilator to the respiratory system and combines factors related to the development of ventilator-induced lung injury (VILI). Flow-controlled ventilation (FCV) is a new ventilation mode using a constant low flow during both inspiration and expiration, which is hypothesized to lower the MP and to improve ventilation homogeneity. Data demonstrating these effects are scarce, since previous studies comparing FCV with conventional controlled ventilation modes in ICU patients suffer from important methodological concerns.

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Background & Aims: Patients with acute decompensation of cirrhosis or acute-on-chronic liver failure (ACLF) often require intensive care unit (ICU) admission for organ support. Existing research, mostly from specialized liver transplant centers, largely addresses short-term outcomes. Our aim was to evaluate in-hospital mortality and 1-year transplant-free survival after hospital discharge in the Netherlands.

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Despite artificial intelligence (AI) technology progresses at unprecedented rate, our ability to translate these advancements into clinical value and adoption at the bedside remains comparatively limited. This paper reviews the current use of implementation outcomes in randomized controlled trials evaluating AI-based clinical decision support and found limited adoption. To advance trust and clinical adoption of AI, there is a need to bridge the gap between traditional quantitative metrics and implementation outcomes to better grasp the reasons behind the success or failure of AI systems and improve their translation into clinical value.

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Cardiac arrest (CA) is a common and potentially avoidable cause of death, while constituting a substantial public health burden. Although survival rates for out-of-hospital cardiac arrest (OHCA) have improved in recent decades, the prognosis for refractory OHCA remains poor. The use of veno-arterial extracorporeal membrane oxygenation during cardiopulmonary resuscitation (ECPR) is increasingly being considered to support rescue measures when conventional cardiopulmonary resuscitation (CPR) fails.

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FebriDx is a rapid point-of-care test combining qualitative measurements of C-reactive protein (CRP) and Myxovirus Resistance Protein A (MxA) using a disposable test device to detect and differentiate acute bacterial from viral respiratory tract infections. The goal of this study was to investigate the diagnostic accuracy of FebriDx in patients with suspected respiratory tract infections in the emergency department (ED). This was an observational cohort study, performed in the ED of an academic hospital.

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Background: The dynamics of Staphylococcus aureus in patients and the hospital environment are relatively unknown. We studied these dynamics in a tertiary care hospital in the Netherlands.

Methods: Nasal samples were taken from adult patients at admission and discharge.

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  • Midazolam was commonly used for sedation in COVID-19 ICU patients, but its use raised concerns due to potential for delirium and longer mechanical ventilation times.
  • The study aimed to analyze how continuous renal replacement therapy (CRRT) affected the clearance of midazolam and its metabolites, as impaired renal function can lead to prolonged sedation.
  • Results from five patients showed varying concentrations of midazolam and its metabolites, highlighting the need to adjust dosages based on CRRT factors to minimize sedation duration.
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Background: The role of haloperidol as treatment for ICU delirium and related symptoms remains controversial despite two recent large controlled trials evaluating its efficacy and safety. We sought to determine whether haloperidol when compared to placebo in critically ill adults with delirium reduces days with delirium and coma and improves delirium-related sequelae.

Methods: This multi-center double-blind, placebo-controlled randomized trial at eight mixed medical-surgical Dutch ICUs included critically ill adults with delirium (Intensive Care Delirium Screening Checklist ≥ 4 or a positive Confusion Assessment Method for the ICU) admitted between February 2018 and January 2020.

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