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Akademický článek

Identifying the need for infection-related consultations in intensive care patients using machine learning models

Autor: Leslie R. Zwerwer, Christian F. Luz, Dimitrios Soudis, Nicoletta Giudice, Maarten W. N. Nijsten, Corinna Glasner, Maurits H. Renes, Bhanu Sinha

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)

Abstract Infection-related consultations on intensive care units (ICU) have a positive impact on quality of care and clinical outcome. However, timing of these consultations is essential and to date they are typically event-triggered and reactive. He

Externí odkaz: https://doaj.org/article/b181b45a98044d98a21a2be8128ed56f

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Akademický článek

Fluid balance versus weighing: A comparison in ICU patients: A single center observational study.

Autor: R S M Mensink, W Paans, M H Renes, W Dieperink, F Blokzijl

Publikováno v: PLoS ONE, Vol 19, Iss 4, p e0299474 (2024)

BackgroundThe fluid balance is a critical parameter in intensive care units (ICU) as it provides information about the patient's volume status. However, the accuracy of fluid balance measurements is often compromised due to the complexity and repetit

Externí odkaz: https://doaj.org/article/8e6d7ac354ac4d16ac6281bc4762a1da

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Akademický článek

Multi-infusion with integrated multiple pressure sensing allows earlier detection of line occlusions

Autor: Frank Doesburg, Roy Oelen, Maurits H. Renes, Pedro M. Lourenço, Daan J. Touw, Maarten W. Nijsten

Publikováno v: BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-12 (2021)

Abstract Background Occlusions of intravenous (IV) tubing can prevent vital and time-critical medication or solutions from being delivered into the bloodstream of patients receiving IV therapy. At low flow rates (≤ 1 ml/h) the alarm delay (time to

Externí odkaz: https://doaj.org/article/13547062019b44ee8e189620e4de2d2e

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Akademický článek

Low Cancer Incidence in Naked Mole-Rats May Be Related to Their Inability to Express the Warburg Effect

Autor: Pedro Freire Jorge, Matthew L. Goodwin, Maurits H. Renes, Maarten W. Nijsten, Matthew Pamenter

Publikováno v: Frontiers in Physiology, Vol 13 (2022)

Metabolic flexibility in mammals enables stressed tissues to generate additional ATP by converting large amounts of glucose into lactic acid; however, this process can cause transient local or systemic acidosis. Certain mammals are adapted to extreme

Externí odkaz: https://doaj.org/article/078dd50744b045ad8ee239cf56f74a71

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Akademický článek

Towards more efficient use of intravenous lumens in multi-infusion settings: development and evaluation of a multiplex infusion scheduling algorithm

Autor: Frank Doesburg, Roy Oelen, Maurits H. Renes, Wouter Bult, Daan J. Touw, Maarten W. Nijsten

Publikováno v: BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-11 (2020)

Abstract Background Multi-drug intravenous (IV) therapy is one of the most common medical procedures used in intensive care units (ICUs), operating rooms, oncology wards and many other hospital departments worldwide. As drugs or their solvents are fr

Externí odkaz: https://doaj.org/article/014c46596b6f49e7b415c38389807489

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Towards more efficient use of intravenous lumens in multi-infusion settings: development and evaluation of a multiplex infusion scheduling algorithm

Autor: Roy Oelen, Daan J Touw, Maurits H. Renes, Maarten W. N. Nijsten, Frank Doesburg, Wouter Bult

Publikováno v: BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-11 (2020)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making, 20(1):206. BioMed Central Ltd.

Background Multi-drug intravenous (IV) therapy is one of the most common medical procedures used in intensive care units (ICUs), operating rooms, oncology wards and many other hospital departments worldwide. As drugs or their solvents are frequently

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e95e02ae77f0d8a4d552a2b55d71a538
http://link.springer.com/article/10.1186/s12911-020-01231-w

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Predicting Infection-related Consultations on Intensive Care Units - Development of a Machine Learning Prediction Model

Autor: Maurits H. Renes, Christian F. Luz, Bhanu Sinha, Nijsten Mwn, Corinna Glasner, Giudice N, Soudis D, Zwerwer Lr

Publikováno v: medRxiv : the preprint server for health sciences

ObjectivesInfection-related consultations on intensive care units (ICU) build an important cornerstone in the care for critically ill patients with (suspected) infections. The positive impact of consultations on quality of care and clinical outcome h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3077dd8b45ce195e8cdd855c82dd50e5
https://doi.org/10.1101/2021.03.31.21254530