The 6-minute stepper test and the sit-to-stand test predict complications after major pulmonary resection via minimally invasive surgery: a prospective inception cohort study.


Journal

Journal of physiotherapy
ISSN: 1836-9561
Titre abrégé: J Physiother
Pays: Netherlands
ID NLM: 101528691

Informations de publication

Date de publication:
04 2022
Historique:
received: 19 02 2021
revised: 02 02 2022
accepted: 07 03 2022
pubmed: 10 4 2022
medline: 28 4 2022
entrez: 9 4 2022
Statut: ppublish

Résumé

How well do the 6-minute stepper test (6MST) and sit-to-stand test (STST) predict complications after minimally invasive lung cancer resection? Do the 6MST and STST provide supplementary information on the risk of postoperative complications in addition to the prognostic variables that are currently used, such as age and the American Society of Anesthesiology (ASA) score? Prospective inception cohort study with follow-up for 90 days. Consecutive sample of adults undergoing major lung resection with video-assisted thoracic surgery (VATS) or robot-assisted thoracic surgery (RATS). Patients had a preoperative functional evaluation with the 6MST and STST. The number of steps, heart rate change, saturation and dyspnoea during the 6MST and the number of lifts during the STST were recorded. Complications graded ≥ 2 on the Clavien-Dindo classification were recorded for 90 days after surgery. Between November 2018 and November 2019, 118 patients with a mean age of 65 years (SD 9) were included and analysed. Their surgeries were via VATS in 88 (75%) and via RATS in 30 (25%). For predicting a postoperative complication graded ≥ 2 on the Clavien-Dindo classification, the area under the Receiver Operating Characteristic curve was: 0.82 (95% CI 0.75 to 0.90) for the number of steps during the 6MST, with an optimum cut-off of 140 steps; and 0.85 (95% CI 0.77 to 0.93) for the number of lifts during the STST, with an optimum cut-off of 20 lifts. The 6MST and STST predicted morbidity and mortality after lung cancer resection via minimally invasive surgery. The preoperative use of these exercise tests in clinical practice may be useful for risk stratification. NCT03824977.

Identifiants

pubmed: 35396177
pii: S1836-9553(22)00009-1
doi: 10.1016/j.jphys.2022.03.001
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT03824977']

Types de publication

Clinical Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

130-135

Informations de copyright

Copyright © 2022 Australian Physiotherapy Association. Published by Elsevier B.V. All rights reserved.

Auteurs

Fairuz Boujibar (F)

Department of Thoracic Surgery, Rouen University Hospital, Rouen, France; Normandie University, UNIROUEN, INSERM U1096, Haute Normandie Research and Biomedical Innovation, Rouen, France. Electronic address: F.boujibar@gmail.com.

André Gillibert (A)

Department of Biostatistics, Rouen University Hospital, Rouen, France.

Tristan Bonnevie (T)

Normandie University, UNIROUEN, INSERM U1096, Haute Normandie Research and Biomedical Innovation, Rouen, France; ADIR Association, Rouen University Hospital, Rouen, France.

Philippe Rinieri (P)

Department of Thoracic Surgery, Centre Médico-chirurgical du Cèdre, Bois-Guillaume, France.

François Montagne (F)

Department of Thoracic Surgery, University Hospital of Lille, Lille, France.

Jean Selim (J)

Normandie University, UNIROUEN, INSERM U1096, Haute Normandie Research and Biomedical Innovation, Rouen, France; Department of Anaesthesiology and Critical Care, Rouen University Hospital, Rouen, France.

Antoine Cuvelier (A)

Normandie University, UNIROUEN, INSERM U1096, Haute Normandie Research and Biomedical Innovation, Rouen, France; Pulmonary, Thoracic Oncology and Respiratory Intensive Care Department, Rouen University Hospital, Rouen, France.

Francis-Edouard Gravier (FE)

Normandie University, UNIROUEN, INSERM U1096, Haute Normandie Research and Biomedical Innovation, Rouen, France; ADIR Association, Rouen University Hospital, Rouen, France.

Jean-Marc Baste (JM)

Department of Thoracic Surgery, Rouen University Hospital, Rouen, France; Normandie University, UNIROUEN, INSERM U1096, Haute Normandie Research and Biomedical Innovation, Rouen, France.

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