Home > Riviste > European Journal of Physical and Rehabilitation Medicine > Fascicoli precedenti > European Journal of Physical and Rehabilitation Medicine 2020 December;56(6) > European Journal of Physical and Rehabilitation Medicine 2020 December;56(6):756-63

ULTIMO FASCICOLO
 

JOURNAL TOOLS

eTOC
Per abbonarsi
Sottometti un articolo
Segnala alla tua biblioteca
 

ARTICLE TOOLS

Publication history
Estratti
Permessi
Per citare questo articolo
Share

 

ORIGINAL ARTICLE   Freefree

European Journal of Physical and Rehabilitation Medicine 2020 December;56(6):756-63

DOI: 10.23736/S1973-9087.20.06274-7

Copyright © 2020 EDIZIONI MINERVA MEDICA

lingua: Inglese

Very early exercise tailored by decisional algorithm helps relieve discomfort in ICU patients: an open-label pilot study

Hélène LAURENT 1, 2 , Sylvie AUBRETON 2, Aurélie VALLAT 2, Bruno PEREIRA 3, Bertrand SOUWEINE 4, Jean-Michel CONSTANTIN 5, Emmanuel COUDEYRE 1, 2

1 Unit of Human Nutrition (UNH), University of Clermont Auvergne, National Institute for Research on Agriculture (INRAE), Clermont-Ferrand, France; 2 Service of Physical and Rehabilitation Medicine, Clermont-Ferrand University Hospital, Clermont-Ferrand, France; 3 Center for Clinical Research and Innovation (DRCI), Clermont-Ferrand University Hospital, Clermont-Ferrand, France; 4 Service of Medical Resuscitation, Clermont-Ferrand University Hospital, Clermont-Ferrand, France; 5 Service of Surgical Resuscitation, Clermont-Ferrand University Hospital, Clermont-Ferrand, France



BACKGROUND: Existing algorithms do not allow for setting up finely tuned progression or intensity for exercise training in intensive care units (ICUs).
AIM: We aimed to assess the feasibility and tolerance of a very early exercise program tailored by using decisional algorithm that integrated both progression and intensity.
DESIGN: Open-label pilot study.
SETTING: ICU.
POPULATION: Thirty adults hospitalized in ICU.
METHODS: Once a day, patients performed manual range of motion, cycloergometry, and functional training exercises. The progression and intensity of training were standardized by using the constructed algorithm. The main outcome, discomfort on a 0-100 Visual Analog Scale, was assessed before and after each exercise session. Secondary outcomes were muscle strength, ICU length of stay and adverse events related to exercise.
RESULTS: Overall, 125 exercise sessions were performed. Discomfort during exercise sessions decreased significantly by the fifth session (P=0.049). Early exercise sessions were feasible and did not produce major adverse events.
CONCLUSIONS: We confirmed the safety and feasibility of very early exercise programs in ICUs. Early exercise tailored by using a decisional algorithm helps relieve the discomfort of ICU patients.
CLINICAL REHABILITATION IMPACT: In everyday practice, the use of decisional algorithms should be encouraged to initiate and standardize early exercise in ICUs.


KEY WORDS: Algorithms; Exercise; Intensive care units; Physical therapy modalities; Exercise tolerance

inizio pagina