Results 61 to 70 of about 1,258,685 (277)

Predicting the occurrence of multidrug-resistant organism colonization or infection in ICU patients: development and validation of a novel multivariate prediction model

Antimicrobial Resistance and Infection Control, 2020
Background Multidrug-resistant organisms (MDROs) have emerged as an important cause of poor prognoses of patients in the intensive care unit (ICU). This study aimed to establish an easy-to-use nomogram for predicting the occurrence of MDRO colonization ...
Li Wang, Xiaolong Huang, Jiating Zhou, Yajing Wang, Weizhang Zhong, Qing Yu, Weiping Wang, Zhiqiao Ye, Qiaoyan Lin, Xing Hong, Ping Zeng, Minwei Zhang   +11 more
doaj   +1 more source

Reduced anticoagulation targets in extracorporeal life support (RATE): study protocol for a randomized controlled trial

Trials, 2022
Background Although life-saving in selected patients, ECMO treatment still has high mortality which for a large part is due to treatment-related complications. A feared complication is ischemic stroke for which heparin is routinely administered for which
Olivier van Minnen, Annemieke Oude Lansink-Hartgring, Bas van den Boogaard, Judith van den Brule, Pierre Bulpa, Jeroen J. H. Bunge, Thijs S. R. Delnoij, Carlos V. Elzo Kraemer, Marijn Kuijpers, Bernard Lambermont, Jacinta J. Maas, Jesse de Metz, Isabelle Michaux, Ineke van de Pol, Marcel van de Poll, S. Jorinde Raasveld, Matthias Raes, Dinis dos Reis Miranda, Erik Scholten, Olivier Simonet, Fabio S. Taccone, Frederic Vallot, Alexander P. J. Vlaar, Walter M. van den Bergh   +23 more
doaj   +1 more source

European society of intensive care medicine study of therapeutic hypothermia (32-35 °C) for intracranial pressure reduction after traumatic brain injury (the Eurotherm3235Trial). [PDF]

, 2011
BACKGROUND: Traumatic brain injury is a major cause of death and severe disability worldwide with 1,000,000 hospital admissions per annum throughout the European Union.Therapeutic hypothermia to reduce intracranial hypertension may improve patient ...
Andrews, Peter JD, Battison, Claire G, Citerio, Giuseppe, De Backer, Daniel, Eurotherm3235Trial collaborators, Harris, Bridget A, Mascia, Luciana, Menon, David K, Murray, Gordon D, Polderman, Kees H, Shakur, Haleema, Sinclair, Helen Louise, Stocchetti, Nino   +12 more
core   +5 more sources

Computable Phenotypes of Patient Acuity in the Intensive Care Unit [PDF]

arXiv, 2020
Continuous monitoring and patient acuity assessments are key aspects of Intensive Care Unit (ICU) practice, but both are limited by time constraints imposed on healthcare providers. Moreover, anticipating clinical trajectories remains imprecise. The objectives of this study are to (1) develop an electronic phenotype of acuity using automated variable ...
arxiv  

Towards Trustworthy Cross-patient Model Development [PDF]

AAAI workshop on Trustworthy AI for Healthcare, 2022, 2021
Machine learning is used in medicine to support physicians in examination, diagnosis, and predicting outcomes. One of the most dynamic area is the usage of patient generated health data from intensive care units. The goal of this paper is to demonstrate how we advance cross-patient ML model development by combining the patient's demographics data with ...
arxiv  

COVID-19 related acute necrotizing encephalopathy and acute myocarditis in an adult female: a novel case report of brain injury and myocarditis

BMC Neurology
Background Acute necrotizing encephalopathy (ANE) and myocarditis are both acute, life-threatening conditions that can be triggered by COVID-19. We report a case of sequential ANE and myocarditis following a COVID-19 infection.
Chang Xu, Yuyi Sha, Jianneng Pan, Tao Pan, Xiaoyang Zhou, Hua Wang, Zhaojun Xu, Bixin Chen   +7 more
doaj   +1 more source

Adsorption therapy in critically ill with septic shock and acute kidney injury: a retrospective and prospective cohort study

Annals of Intensive Care, 2020
Background Haemoadsorption has been described as an effective way to control increased pro- and anti-inflammatory mediators (“cytokine storm”) in septic shock patients. No prospective or randomised clinical study has yet confirmed these results. However,
Gregor A. Schittek, Philipp Zoidl, Michael Eichinger, Simon Orlob, Holger Simonis, Martin Rief, Philipp Metnitz, Tobias Fellinger, Jens Soukup   +8 more
doaj   +1 more source

Leveraging Implicit Expert Knowledge for Non-Circular Machine Learning in Sepsis Prediction [PDF]

Artificial Intelligence in Medicine, Volume 100, September 2019, Pages 101725, 2019
Sepsis is the leading cause of death in non-coronary intensive care units. Moreover, a delay of antibiotic treatment of patients with severe sepsis by only few hours is associated with increased mortality. This insight makes accurate models for early prediction of sepsis a key task in machine learning for healthcare.
arxiv   +1 more source

European intensive care physicians’ experience of infections due to antibiotic-resistant bacteria [PDF]

, 2020
Background Antimicrobial resistance (AMR) compromises the treatment of patients with serious infections in intensive care units (ICUs), and intensive care physicians are increasingly facing patients with bacterial infections with limited or no adequate ...
De Waele, Jan, Friggeri, Arnaud, Garnacho-Montero, José, Gustin, Marie Paule, Jean, Astrid, Kohlenberg, Anke, Lepape, Alain, Monnet, Dominique L., Savey, Anne, Vanhems, Philippe   +9 more
core   +2 more sources

The impact of lung ultrasound on clinical-decision making across departments: a systematic review

The Ultrasound Journal, 2022
Background Lung ultrasound has established itself as an accurate diagnostic tool in different clinical settings. However, its effects on clinical-decision making are insufficiently described.
Micah L. A. Heldeweg, Lian Vermue, Max Kant, Michelle Brouwer, Armand R. J. Girbes, Mark E. Haaksma, Leo M. A. Heunks, Amne Mousa, Jasper M. Smit, Thomas W. Smits, Frederique Paulus, Johannes C. F. Ket, Marcus J. Schultz, Pieter Roel Tuinman   +13 more
doaj   +1 more source