Perioperative non-invasive haemodynamic optimisation using photoplethysmography: A randomised controlled trial and meta-analysis.


Journal

Anaesthesia, critical care & pain medicine
ISSN: 2352-5568
Titre abrégé: Anaesth Crit Care Pain Med
Pays: France
ID NLM: 101652401

Informations de publication

Date de publication:
06 2020
Historique:
received: 02 03 2020
revised: 08 03 2020
accepted: 08 03 2020
pubmed: 2 4 2020
medline: 9 7 2021
entrez: 2 4 2020
Statut: ppublish

Résumé

The present study aimed at evaluating the effect of a haemodynamic algorithm using SV maximisation by non-invasive photoplethysmography (interventional group) on the incidence of postoperative complications compared with a control group using intermittent mean arterial pressure. The non-blinded parallel-group trial randomised low-risk patients undergoing colorectal surgery into either interventional group or control group. The primary outcome was the incidence of patients with at least one complication during the 30 days following surgery. The secondary outcomes were the total number of complications, the length of hospital stay and postoperative mortality. A meta-analysis of randomised trials comparing perioperative haemodynamic optimisation (interventional group) using photoplethysmography with control group was performed to assess the external validity. Among 160 randomised patients, 159 were analysed (80 and 79 in interventional and control groups, respectively). Demographic characteristics were similar in both groups. Postoperative complications occurred in 40 (50%) and 34 (43%) patients in the interventional and control groups, respectively (P=0.471). There were no significant differences between the two groups regarding the total number of complications (P=0.078), the hospital length of stay (P=0.960), or postoperative mortality (P=1.000). In the meta-analysis including 1089 patients in 7 randomised controlled studies, 203 (38%) and 221 (40%) patients suffered from at least one complication following surgery [risk ratio 0.89 (95% CI 0.68-1.17), P=0.407] in interventional and control groups, respectively. Based on the findings of the present study and meta-analysis, a haemodynamic perioperative algorithm using SV maximisation by non-invasive photoplethysmography cannot reduce postoperative morbidity.

Sections du résumé

BACKGROUND
The present study aimed at evaluating the effect of a haemodynamic algorithm using SV maximisation by non-invasive photoplethysmography (interventional group) on the incidence of postoperative complications compared with a control group using intermittent mean arterial pressure.
METHODS
The non-blinded parallel-group trial randomised low-risk patients undergoing colorectal surgery into either interventional group or control group. The primary outcome was the incidence of patients with at least one complication during the 30 days following surgery. The secondary outcomes were the total number of complications, the length of hospital stay and postoperative mortality. A meta-analysis of randomised trials comparing perioperative haemodynamic optimisation (interventional group) using photoplethysmography with control group was performed to assess the external validity.
RESULTS
Among 160 randomised patients, 159 were analysed (80 and 79 in interventional and control groups, respectively). Demographic characteristics were similar in both groups. Postoperative complications occurred in 40 (50%) and 34 (43%) patients in the interventional and control groups, respectively (P=0.471). There were no significant differences between the two groups regarding the total number of complications (P=0.078), the hospital length of stay (P=0.960), or postoperative mortality (P=1.000). In the meta-analysis including 1089 patients in 7 randomised controlled studies, 203 (38%) and 221 (40%) patients suffered from at least one complication following surgery [risk ratio 0.89 (95% CI 0.68-1.17), P=0.407] in interventional and control groups, respectively.
CONCLUSIONS
Based on the findings of the present study and meta-analysis, a haemodynamic perioperative algorithm using SV maximisation by non-invasive photoplethysmography cannot reduce postoperative morbidity.

Identifiants

pubmed: 32229173
pii: S2352-5568(20)30056-4
doi: 10.1016/j.accpm.2020.03.016
pii:
doi:

Types de publication

Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

421-428

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS. All rights reserved.

Auteurs

Marc-Olivier Fischer (MO)

UNICAEN, service d'anesthésie réanimation, Normandie université, CHU de Caen Normandie, 14000 Caen, France. Electronic address: marcolivierfischer@yahoo.fr.

Anne-Lise Fiant (AL)

UNICAEN, service d'anesthésie réanimation, Normandie université, CHU de Caen Normandie, 14000 Caen, France.

Stéphane Debroczi (S)

UNICAEN, service d'anesthésie réanimation, Normandie université, CHU de Caen Normandie, 14000 Caen, France.

Mariam Boutros (M)

UNICAEN, service d'anesthésie réanimation, Normandie université, CHU de Caen Normandie, 14000 Caen, France.

Léa Pasqualini (L)

UNICAEN, service d'anesthésie réanimation, Normandie université, CHU de Caen Normandie, 14000 Caen, France.

Marguerite Demonchy (M)

UNICAEN, service d'anesthésie réanimation, Normandie université, CHU de Caen Normandie, 14000 Caen, France.

Frédéric Flais (F)

UNICAEN, service d'anesthésie réanimation, Normandie université, CHU de Caen Normandie, 14000 Caen, France.

Arnaud Alves (A)

UNICAEN, service de chirurgie digestive, Normandie université, CHU de Caen Normandie, 14000 Caen, France.

Jean-Louis Gérard (JL)

UNICAEN, service d'anesthésie réanimation, Normandie université, CHU de Caen Normandie, 14000 Caen, France.

Clément Buléon (C)

UNICAEN, service d'anesthésie réanimation, Normandie université, CHU de Caen Normandie, 14000 Caen, France.

Jean-Luc Hanouz (JL)

UNICAEN, service d'anesthésie réanimation, Normandie université, CHU de Caen Normandie, 14000 Caen, France.

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Classifications MeSH