Assessing pulmonary function in ALS using electrical impedance tomography.


Journal

Amyotrophic lateral sclerosis & frontotemporal degeneration
ISSN: 2167-9223
Titre abrégé: Amyotroph Lateral Scler Frontotemporal Degener
Pays: England
ID NLM: 101587185

Informations de publication

Date de publication:
Aug 2024
Historique:
medline: 24 7 2024
pubmed: 5 4 2024
entrez: 5 4 2024
Statut: ppublish

Résumé

We sought to determine whether thoracic electrical impedance tomography (EIT) could characterize pulmonary function in amyotrophic lateral sclerosis (ALS) patients, including those with facial weakness. Thoracic EIT is a noninvasive, technology in which a multi-electrode belt is placed across the chest, producing real-time impedance imaging of the chest during breathing. We enrolled 32 ALS patients and 32 age- and sex-matched healthy controls (HCs) without underlying lung disease. All participants had EIT measurements performed simultaneously with standard pulmonary function tests (PFTs), including slow and forced vital capacity (SVC and FVC) in upright and supine positions and maximal inspiratory and expiratory pressures (MIPs and MEPs, respectively). Intraclass correlation coefficients (ICCs) were calculated to assess the immediate reproducibility of EIT measurements and Pearson's correlations were used to explore the relationships between EIT and PFT values. Data from 30 ALS patients and 27 HCs were analyzed. Immediate upright SVC reproducibility was very high (ICC 0.98). Correlations were generally strongest between EIT and spirometry measures, with EIT-based pulmonary measures hold the promise of providing an alternative approach for lung function assessment in ALS patients. Based on these early results, further development and study of this technology are warranted.

Identifiants

pubmed: 38576194
doi: 10.1080/21678421.2024.2334075
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

581-588

Subventions

Organisme : NINDS NIH HHS
ID : R21 NS118434
Pays : United States

Auteurs

Seward B Rutkove (SB)

Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

Courtney E McIlduff (CE)

Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

Elijah Stommel (E)

Department of Neurology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.

Sean Levy (S)

Department of Medicine, Division of Pulmonary and Critical Care, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA, and.

Christy Smith (C)

Department of Medicine, Division of Pulmonary and Critical Care, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA, and.

Hilda Gutierrez (H)

Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

Sarah Verga (S)

Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

Soleil Samaan (S)

Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

Chebet Yator (C)

Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

Ajitesh Nanda (A)

Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

Lisa Pastel (L)

Department of Neurology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.

Allaire Doussan (A)

Thayer School of Engineering, Dartmouth College, Hanover, NH, USA.

Kathy Phipps (K)

Thayer School of Engineering, Dartmouth College, Hanover, NH, USA.

Ethan Murphy (E)

Thayer School of Engineering, Dartmouth College, Hanover, NH, USA.

Ryan Halter (R)

Thayer School of Engineering, Dartmouth College, Hanover, NH, USA.

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