Paul Elbers
Overview
Explore the profile of Paul Elbers including associated specialties, affiliations and a list of published articles.
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46
Citations
389
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Recent Articles
1.
Wu C, Canakoglu A, Vine J, Mathur A, Nath R, Kashiouris M, et al.
Intensive Care Med Exp
. 2025 Feb;
13(1):28.
PMID: 40019703
Background: Mechanical power (MP) serves as a crucial predictive indicator for ventilator-induced lung injury and plays a pivotal role in tailoring the management of mechanical ventilation. However, its application across...
2.
Beil M, Alberto L, Bourne R, Brummel N, de Groot B, de Lange D, et al.
Intensive Care Med
. 2025 Feb;
51(2):287-301.
PMID: 39961851
Purpose: The heterogeneity of very old patients (age ≥ 80 years) and the prevalence of complex geriatric syndromes in this cohort constitute major challenges for the classical methods of evidence-based...
3.
Lijovic L, Radocaj T, Kovac N, Vucic M, Elbers P
Med Intensiva (Engl Ed)
. 2025 Jan;
502136.
PMID: 39809650
Objective: To determine whether the ROX index and its variations can predict the risk of intubation in ICU patients receiving NIV ventilation using large public ICU databases. Design: Retrospective observational...
4.
Wortel S, Bakhshi-Raiez F, Abu-Hanna A, Dongelmans D, de Keizer N, Houwink A, et al.
Crit Care Sci
. 2025 Jan;
36():e202400251en.
PMID: 39775432
Objective: To describe the 12-month mortality of Dutch COVID-19 intensive care unit patients, the total COVID-19 population and various subgroups on the basis of the number of comorbidities, age, sex,...
5.
Lijovic L, Elbers P
Intensive Care Med
. 2024 Dec;
51(1):163-166.
PMID: 39661137
No abstract available.
6.
Rockenschaub P, Hilbert A, Kossen T, Elbers P, von Dincklage F, Madai V, et al.
Crit Care Med
. 2024 Jul;
52(11):1710-1721.
PMID: 38958568
Objectives: To evaluate the transferability of deep learning (DL) models for the early detection of adverse events to previously unseen hospitals. Design: Retrospective observational cohort study utilizing harmonized intensive care...
7.
Smits T, Heldeweg M, Tulleken A, Verlaan B, Floor L, Eijsenga A, et al.
Int J Nurs Stud Adv
. 2024 May;
5:100135.
PMID: 38746565
Background: Thoracic ultrasound is a valuable tool that helps diagnose cardiopulmonary disorders and guide management in intensive care unit patients. Intensive care unit nurses were trained to perform thoracic ultrasound...
8.
Maas A, Wyers C, Dielis A, Barten D, van Kampen V, van der Krieken T, et al.
J Vasc Res
. 2024 Apr;
61(3):142-150.
PMID: 38631294
Introduction: During the first COVID-19 outbreak in 2020 in the Netherlands, the incidence of pulmonary embolism (PE) appeared to be high in COVID-19 patients admitted to the intensive care unit...
9.
Pinsky M, Bedoya A, Bihorac A, Celi L, Churpek M, Economou-Zavlanos N, et al.
Crit Care
. 2024 Apr;
28(1):113.
PMID: 38589940
Background: Perhaps nowhere else in the healthcare system than in the intensive care unit environment are the challenges to create useful models with direct time-critical clinical applications more relevant and...
10.
Elbers P, Thoral P, Bos L, Greco M, Wendel-Garcia P, Ercole A
Intensive Care Med Exp
. 2024 Mar;
12(1):29.
PMID: 38472595
No abstract available.