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Jimmy Schenk

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Citations 208
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Recent Articles
1.
Groeneveld M, Leurs W, Bouwman A, Schenk J, Lammers L, Dierick A, et al.
Appl Nurs Res . 2025 Mar; 82:151923. PMID: 40086942
Aim: The aim of this study was to evelop a predictive model, estimating the probability of an in-hospital fall using previously identified associated words, and word combinations in daily nursing...
2.
Rellum S, Noteboom S, van der Ster B, Schuurmans J, Kho E, Vlaar A, et al.
Eur J Anaesthesiol . 2025 Feb; PMID: 40012367
Background: The hypotension prediction index (HPI) predicts hypotension, with randomised trials showing a significant reduction in hypotension-related metrics. However, the reliability of previous validation studies is debated, and it's unclear...
3.
Noteboom S, Kho E, Veelo D, van der Ster B, van Haeren M, Viersen V, et al.
Anesth Analg . 2025 Jan; PMID: 39841608
Background: Rotational thromboelastometry (ROTEM) is widely used for point-of-care coagulation testing to reduce blood transfusions. Accurate interpretation of ROTEM data is crucial and requires substantial training. This study investigates the...
4.
van Haeren M, Raasveld S, de Bruin S, Reuland M, van den Oord C, Schenk J, et al.
Transfusion . 2024 Dec; 65(1):73-87. PMID: 39696779
Background: Current guidelines discourage prophylactic plasma use in non-bleeding patients. This study assesses global plasma transfusion practices in the intensive care unit (ICU) and their alignment with current guidelines. Study...
5.
van Haeren M, Breel J, Schenk J, Eberl S, Hamer H, Hollmann M, et al.
Br J Anaesth . 2024 Dec; 134(2):317-327. PMID: 39627120
Background: Thromboelastometry plays a key role in many transfusion algorithms. ROTEM® Sigma is the fully automated successor of ROTEM® Delta. Compatibility with current ROTEM® Delta-based algorithms remains uncertain. This study...
6.
Schuurmans J, Rellum S, Schenk J, van der Ster B, van der Ven W, Geerts B, et al.
Crit Care Med . 2024 Nov; 53(2):e328-e340. PMID: 39576150
Objectives: Cardiac surgery is associated with perioperative complications, some of which might be attributable to hypotension. The Hypotension Prediction Index (HPI), a machine-learning-derived early warning tool for hypotension, has only...
7.
Meewisse A, van Huizen E, Choi K, Kok-de Goede E, Turgman O, Schenk J, et al.
Acta Anaesthesiol Scand . 2024 Nov; 69(1):e14543. PMID: 39551626
Introduction: The circadian timing system regulates diurnal sleep-wake rhythm. Previously, we showed that, in patients undergoing elective surgery, sleep-wake timing is altered and post-operative sleep quality is reduced. However, how...
8.
Terwindt L, Tol J, van der Ven W, Kurucz V, Noteboom S, Breel J, et al.
J Clin Anesth . 2024 Nov; 99:111671. PMID: 39490252
Study Objectives: To identify the influence of modifiable factors in anesthesia induction strategy on post-induction hypotension (PIH), specifically the type, dosage and speed of administration of induction agents. A secondary...
9.
Kho E, Immink R, van der Ster B, van der Ven W, Schenk J, Hollmann M, et al.
Anesth Analg . 2024 Oct; 140(2):444-452. PMID: 39453850
Background: Postinduction hypotension (PIH) may be associated with increased morbidity and mortality. In earlier studies, the definition of PIH is solely based on different absolute or relative thresholds. However, the...
10.
Rellum S, Kho E, Schenk J, van der Ster B, Vlaar A, Veelo D
Eur J Anaesthesiol . 2024 Oct; 42(2):131-139. PMID: 39411994
Background: Clinical trials and validation studies demonstrate promising hypotension prediction capability by the Hypotension Prediction Index (HPI). Most studies that evaluate HPI derive it from invasive blood pressure readings, but...