Technologies for the Instrumental Evaluation of Physical Function in Persons Affected by Chronic Obstructive Pulmonary Disease: A Systematic Review.

COPD instrumental evaluation physical function technology

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
01 Sep 2022
Historique:
received: 03 08 2022
revised: 23 08 2022
accepted: 31 08 2022
entrez: 9 9 2022
pubmed: 10 9 2022
medline: 14 9 2022
Statut: epublish

Résumé

Several systems, sensors, and devices are now available for the instrumental evaluation of physical function in persons with Chronic Obstructive Pulmonary Disease (COPD). We aimed to systematically review the literature about such technologies. The literature search was conducted in all major scientific databases, including articles published between January 2001 and April 2022. Studies reporting measures derived from the instrumental assessment of physical function in individuals with COPD were included and were divided into application and validation studies. The quality of validation studies was assessed with the Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) risk of bias tool. From 8752 articles retrieved, 21 application and 4 validation studies were included in the systematic review. Most application studies employed accelerometers, gait analysis systems, instrumented mattresses, or force plates to evaluate walking. Surface electro-myography or near-infrared spectroscopy were employed in four studies. Validation studies were heterogeneous and presented a risk of bias ranging from inadequate to doubtful. A variety of data regarding physical function can be retrieved from technologies used in COPD studies. However, a general lack of standardization and limitations in study design and sample size hinder the implementation of the instrumental evaluation of function in clinical practice.

Identifiants

pubmed: 36081078
pii: s22176620
doi: 10.3390/s22176620
pmc: PMC9459845
pii:
doi:

Types de publication

Journal Article Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Alberto Zucchelli (A)

Department of Information Engineering, Università degli Studi di Brescia, Brescia 25123, Italy.
Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna SE-171 65, Sweden.

Simone Pancera (S)

IRCCS Fondazione Don Carlo Gnocchi, Milan 20148, Italy.

Luca Nicola Cesare Bianchi (LNC)

IRCCS Fondazione Don Carlo Gnocchi, Milan 20148, Italy.

Alessandra Marengoni (A)

Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna SE-171 65, Sweden.
Department of Clinical and Experimental Sciences, Università degli Studi di Brescia, Brescia 25123, Italy.

Nicola Francesco Lopomo (NF)

Department of Information Engineering, Università degli Studi di Brescia, Brescia 25123, Italy.

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