Hypotension Prediction Index based protocolized haemodynamic management reduces the incidence and duration of intraoperative hypotension in primary total hip arthroplasty: a single centre feasibility randomised blinded prospective interventional trial.


Journal

Journal of clinical monitoring and computing
ISSN: 1573-2614
Titre abrégé: J Clin Monit Comput
Pays: Netherlands
ID NLM: 9806357

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 15 08 2019
accepted: 26 11 2019
pubmed: 1 12 2019
medline: 29 10 2021
entrez: 1 12 2019
Statut: ppublish

Résumé

The "Hypotension Prediction Index (HPI)" represents a newly introduced monitoring-tool that aims to predict episodes of intraoperative hypotension (IOH) before their occurrence. In order to evaluate the feasibility of protocolized care according to HPI monitoring, we hypothesized that HPI predicts the incidence of IOH and reduces the incidence and duration of IOH. This single centre feasibility randomised blinded prospective interventional trial included at total of 99 patients. One group was managed by goal-directed therapy algorithm based on HPI (HPI, n = 25), which was compared to a routine anaesthetic care cohort (CTRL, n = 24) and a third historic control group (hCTRL, n = 50). Primary endpoints included frequency (n)/h, absolute and relative duration (t (min)/% of total anaesthesia time) of IOH. Significant reduction of intraoperative hypotension was recorded in the HPI group compared to the control groups (HPI 48%, CTRL 87.5%, hCTRL 80%; HPI vs. CTRL, respectively hCTRL p < 0.001). Perioperative quantity of IOH was significantly reduced in the interventional group compared to both other study groups (HPI: 0 (0-1), CTRL: 5 (2-6), hCTRL: 2 (1-3); p < 0.001). Same observations were identified for absolute (HPI: 0 (0-140) s, CTRL: 640 (195-1315) s, hCTRL 660 (180-1440) s; p < 0.001) and relative duration of hypotensive episodes (minutes MAP ≤ 65 mmHg in  % of total anaesthesia time; HPI: 0 (0-1), CTRL: 6 (2-12), hCTRL 7 (2-17); p < 0.001). The HPI algorithm combined with a protocolized treatment was able to reduce the incidence and duration of hypotensive events in patients undergoing primary hip arthroplasty.Trial registration: NCT03663270.

Identifiants

pubmed: 31784852
doi: 10.1007/s10877-019-00433-6
pii: 10.1007/s10877-019-00433-6
doi:

Banques de données

ClinicalTrials.gov
['NCT03663270']

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

1149-1158

Commentaires et corrections

Type : CommentIn

Auteurs

Emmanuel Schneck (E)

Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital of Giessen and Marburg, Rudolf-Buchheim-Street 7, 35392, Giessen, Germany. emmanuel.schneck@chiru.med.uni-giessen.de.

Dagmar Schulte (D)

Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital of Giessen and Marburg, Rudolf-Buchheim-Street 7, 35392, Giessen, Germany.

Lukas Habig (L)

Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital of Giessen and Marburg, Rudolf-Buchheim-Street 7, 35392, Giessen, Germany.

Sophie Ruhrmann (S)

Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital of Giessen and Marburg, Rudolf-Buchheim-Street 7, 35392, Giessen, Germany.

Fabian Edinger (F)

Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital of Giessen and Marburg, Rudolf-Buchheim-Street 7, 35392, Giessen, Germany.

Melanie Markmann (M)

Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital of Giessen and Marburg, Rudolf-Buchheim-Street 7, 35392, Giessen, Germany.

Marit Habicher (M)

Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital of Giessen and Marburg, Rudolf-Buchheim-Street 7, 35392, Giessen, Germany.

Markus Rickert (M)

Department of Orthopaedics and Orthopaedic Surgery, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany.

Christian Koch (C)

Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital of Giessen and Marburg, Rudolf-Buchheim-Street 7, 35392, Giessen, Germany.

Michael Sander (M)

Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital of Giessen and Marburg, Rudolf-Buchheim-Street 7, 35392, Giessen, Germany.

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Classifications MeSH