Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Maheshwari, K; Shimada, T; Fang, J; Ince, I; Mascha, EJ; Turan, A; Kurz, A; Sessler, DI.
Hypotension Prediction Index software for management of hypotension during moderate- to high-risk noncardiac surgery: protocol for a randomized trial
TRIALS. 2019; 20: 255
Doi: 10.1186/s13063-019-3329-0
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- Co-Autor*innen der Med Uni Graz
- Kurz Andrea
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- Abstract:
- BackgroundHypotension is associated with serious complications, including myocardial infarction, acute kidney injury, and mortality. Consequently, predicting and preventing hypotension may improve outcomes. We will therefore determine if use of a novel hypotension prediction tool reduces the duration and severity of hypotension in patients having non-cardiac surgery.Methods/designWe will conduct a two-center, pragmatic, randomized controlled trial (N=213) in noncardiac surgical patients >45years old who require intra-arterial blood pressure monitoring. All participating patients will be connected to a Flortrac IQ sensor and EV1000 platform (Edwards Lifesciences, Irvine). They will be randomly assigned to blinded or unblinded arms. The Hypotension Prediction Index (HPI) and advanced hemodynamic information will be universally recorded, but will only be available to clinicians when patients are assigned to unblinded monitoring. The primary outcome will be the effect of HPI software guidance on intraoperative time-weighted average mean arterial pressure under a threshold of 65mmHg, which will be assessed with a Wilcoxon-Mann-Whitney 2-sample, two-tailed test.DiscussionOur trial will determine whether the Hypotension Prediction Index and associated hemodynamic information substantively reduces hypotension during non-cardiac surgery.Trial registrationClinicalTrials.gov, NCT03610165. Registered on 1 August 2018.