Prognostic Usefulness of Motor Unit Number Index (MUNIX) in Patients Newly Diagnosed with Amyotrophic Lateral Sclerosis

The MUNIX technique allows us to estimate the number and size of surviving motor units (MUs). Previous studies on ALS found correlations between MUNIX and several clinical measures, but its potential role as a predictor of disease progression rate (DPR) has not been thoroughly evaluated to date. We...

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Published inJournal of clinical medicine Vol. 12; no. 15; p. 5036
Main Authors Risi, Barbara, Cotti Piccinelli, Stefano, Gazzina, Stefano, Labella, Beatrice, Caria, Filomena, Damioli, Simona, Poli, Loris, Padovani, Alessandro, Filosto, Massimiliano
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 31.07.2023
MDPI
Subjects
Amyotrophic lateral sclerosis
Biomarkers
Clinical medicine
Clinical trials
Diagnosis
Disease
Health aspects
Magnetic resonance imaging
Methods
Motor neurons
Muscle strength
Neurology
Neuromuscular diseases
Ostomy
Patients
Prognosis
Questionnaires
Italy
neurophysiology
amyotrophic lateral sclerosis (ALS)
prognosis
disease progression rate (DPR)
motor unit number index (MUNIX)
Online AccessGet full text
ISSN2077-0383
2077-0383
DOI10.3390/jcm12155036

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Abstract The MUNIX technique allows us to estimate the number and size of surviving motor units (MUs). Previous studies on ALS found correlations between MUNIX and several clinical measures, but its potential role as a predictor of disease progression rate (DPR) has not been thoroughly evaluated to date. We aimed to investigate MUNIX’s ability to predict DPR at a six-month follow up. Methods: 24 ALS patients with short disease duration (<24 months from symptoms’ onset) were enrolled and divided according to their baseline DPR into two groups (normal [DPR-N] and fast [DPR-F] progressors). MUNIX values were obtained from five muscles (TA, APB, ADM, FDI, Trapezius) and averaged for each subject. Results: MUNIX was found to predict DPR at follow up in a multivariable linear regression model; namely, patients with lower MUNIX values were at risk of showing greater DPR scores at follow up. The result was replicated in a simple logistic regression analysis, with the dichotomic category “MUNIX-Low” as the independent variable and the outcome “DPR-F” as the dependent variable. Conclusions: our results pave the way for the use of the MUNIX method as a prognostic tool in early ALS, enabling patients’ stratification according to their rates of future decline.
AbstractList The MUNIX technique allows us to estimate the number and size of surviving motor units (MUs). Previous studies on ALS found correlations between MUNIX and several clinical measures, but its potential role as a predictor of disease progression rate (DPR) has not been thoroughly evaluated to date. We aimed to investigate MUNIX’s ability to predict DPR at a six-month follow up. Methods: 24 ALS patients with short disease duration (<24 months from symptoms’ onset) were enrolled and divided according to their baseline DPR into two groups (normal [DPR-N] and fast [DPR-F] progressors). MUNIX values were obtained from five muscles (TA, APB, ADM, FDI, Trapezius) and averaged for each subject. Results: MUNIX was found to predict DPR at follow up in a multivariable linear regression model; namely, patients with lower MUNIX values were at risk of showing greater DPR scores at follow up. The result was replicated in a simple logistic regression analysis, with the dichotomic category “MUNIX-Low” as the independent variable and the outcome “DPR-F” as the dependent variable. Conclusions: our results pave the way for the use of the MUNIX method as a prognostic tool in early ALS, enabling patients’ stratification according to their rates of future decline.
The MUNIX technique allows us to estimate the number and size of surviving motor units (MUs). Previous studies on ALS found correlations between MUNIX and several clinical measures, but its potential role as a predictor of disease progression rate (DPR) has not been thoroughly evaluated to date. We aimed to investigate MUNIX's ability to predict DPR at a six-month follow up. 24 ALS patients with short disease duration (<24 months from symptoms' onset) were enrolled and divided according to their baseline DPR into two groups (normal [DPR-N] and fast [DPR-F] progressors). MUNIX values were obtained from five muscles (TA, APB, ADM, FDI, Trapezius) and averaged for each subject. MUNIX was found to predict DPR at follow up in a multivariable linear regression model; namely, patients with lower MUNIX values were at risk of showing greater DPR scores at follow up. The result was replicated in a simple logistic regression analysis, with the dichotomic category "MUNIX-Low" as the independent variable and the outcome "DPR-F" as the dependent variable. our results pave the way for the use of the MUNIX method as a prognostic tool in early ALS, enabling patients' stratification according to their rates of future decline.
The MUNIX technique allows us to estimate the number and size of surviving motor units (MUs). Previous studies on ALS found correlations between MUNIX and several clinical measures, but its potential role as a predictor of disease progression rate (DPR) has not been thoroughly evaluated to date. We aimed to investigate MUNIX's ability to predict DPR at a six-month follow up.The MUNIX technique allows us to estimate the number and size of surviving motor units (MUs). Previous studies on ALS found correlations between MUNIX and several clinical measures, but its potential role as a predictor of disease progression rate (DPR) has not been thoroughly evaluated to date. We aimed to investigate MUNIX's ability to predict DPR at a six-month follow up.24 ALS patients with short disease duration (<24 months from symptoms' onset) were enrolled and divided according to their baseline DPR into two groups (normal [DPR-N] and fast [DPR-F] progressors). MUNIX values were obtained from five muscles (TA, APB, ADM, FDI, Trapezius) and averaged for each subject.METHODS24 ALS patients with short disease duration (<24 months from symptoms' onset) were enrolled and divided according to their baseline DPR into two groups (normal [DPR-N] and fast [DPR-F] progressors). MUNIX values were obtained from five muscles (TA, APB, ADM, FDI, Trapezius) and averaged for each subject.MUNIX was found to predict DPR at follow up in a multivariable linear regression model; namely, patients with lower MUNIX values were at risk of showing greater DPR scores at follow up. The result was replicated in a simple logistic regression analysis, with the dichotomic category "MUNIX-Low" as the independent variable and the outcome "DPR-F" as the dependent variable.RESULTSMUNIX was found to predict DPR at follow up in a multivariable linear regression model; namely, patients with lower MUNIX values were at risk of showing greater DPR scores at follow up. The result was replicated in a simple logistic regression analysis, with the dichotomic category "MUNIX-Low" as the independent variable and the outcome "DPR-F" as the dependent variable.our results pave the way for the use of the MUNIX method as a prognostic tool in early ALS, enabling patients' stratification according to their rates of future decline.CONCLUSIONSour results pave the way for the use of the MUNIX method as a prognostic tool in early ALS, enabling patients' stratification according to their rates of future decline.
Audience Academic
Author Poli, Loris
Filosto, Massimiliano
Gazzina, Stefano
Damioli, Simona
Cotti Piccinelli, Stefano
Labella, Beatrice
Caria, Filomena
Padovani, Alessandro
Risi, Barbara
AuthorAffiliation 4 Unit of Neurophysiology, ASST Spedali Civili, 25123 Brescia, Italy; stefano.gazzina@asst-spedalicivili.it
2 Unit of Neurology, ASST Spedali Civili, 25123 Brescia, Italy; loris.poli@asst-spedalicivili.it
1 Department of Clinical and Experimental Sciences, University of Brescia, 25121 Brescia, Italy; barbara.risi@centrocliniconemo.it (B.R.); stefano.cottipiccinelli@centrocliniconemo.it (S.C.P.); beatrice.labella93@gmail.com (B.L.); alessandro.padovani@unibs.it (A.P.)
3 NeMO-Brescia Clinical Center for Neuromuscular Diseases, 25064 Gussago, Italy; filomena.caria@centrocliniconemo.it (F.C.); simona.damioli@centrocliniconemo.it (S.D.)
AuthorAffiliation_xml – name: 2 Unit of Neurology, ASST Spedali Civili, 25123 Brescia, Italy; loris.poli@asst-spedalicivili.it
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– name: 1 Department of Clinical and Experimental Sciences, University of Brescia, 25121 Brescia, Italy; barbara.risi@centrocliniconemo.it (B.R.); stefano.cottipiccinelli@centrocliniconemo.it (S.C.P.); beatrice.labella93@gmail.com (B.L.); alessandro.padovani@unibs.it (A.P.)
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/37568439$$D View this record in MEDLINE/PubMed
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CitedBy_id crossref_primary_10_3390_brainsci14121251
crossref_primary_10_12677_ACM_2023_13122846
crossref_primary_10_1016_j_nbd_2024_106579
crossref_primary_10_1016_S1474_4422_24_00373_9
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Issue 15
Keywords neurophysiology
amyotrophic lateral sclerosis (ALS)
prognosis
disease progression rate (DPR)
motor unit number index (MUNIX)
Language English
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Snippet The MUNIX technique allows us to estimate the number and size of surviving motor units (MUs). Previous studies on ALS found correlations between MUNIX and...
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SubjectTerms Amyotrophic lateral sclerosis
Biomarkers
Clinical medicine
Clinical trials
Diagnosis
Disease
Health aspects
Magnetic resonance imaging
Methods
Motor neurons
Muscle strength
Neurology
Neuromuscular diseases
Ostomy
Patients
Prognosis
Questionnaires
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Title Prognostic Usefulness of Motor Unit Number Index (MUNIX) in Patients Newly Diagnosed with Amyotrophic Lateral Sclerosis
URI https://www.ncbi.nlm.nih.gov/pubmed/37568439
https://www.proquest.com/docview/2849015628
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https://pubmed.ncbi.nlm.nih.gov/PMC10420094
Volume 12
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