Accelerometer-based measures in Friedreich ataxia: a longitudinal study on real-life activity
Quantitative measurement of physical activity may complement neurological evaluation and provide valuable information on patients’ daily life. We evaluated longitudinal changes of physical activity in patients with Friedreich ataxia (FRDA) using remote monitoring with wearable sensors. We performed...
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Published in | Frontiers in pharmacology Vol. 15; p. 1342965 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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Frontiers Media S.A
19.03.2024
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ISSN | 1663-9812 1663-9812 |
DOI | 10.3389/fphar.2024.1342965 |
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Abstract | Quantitative measurement of physical activity may complement neurological evaluation and provide valuable information on patients’ daily life. We evaluated longitudinal changes of physical activity in patients with Friedreich ataxia (FRDA) using remote monitoring with wearable sensors. We performed an observational study in 26 adult patients with FRDA and 13 age-sex matched healthy controls (CTR). Participants were asked to wear two wearable sensors, at non-dominant wrist and at waist, for 7 days during waking hours. Evaluations were performed at baseline and at 1-year follow-up. We analysed the percentage of time spent in sedentary or physical activities, the Vector Magnitude on the 3 axes (VM3), and average number of steps/min. Study participants were also evaluated with ataxia clinical scales and functional tests for upper limbs dexterity and walking capability. Baseline data showed that patients had an overall reduced level of physical activity as compared to CTR. Accelerometer-based measures were highly correlated with clinical scales and disease duration in FRDA. Significantly changes from baseline to l-year follow-up were observed in patients for the following measures: (i) VM3; (ii) percentage of sedentary and light activity, and (iii) percentage of Moderate-Vigorous Physical Activity (MVPA). Reduction in physical activity corresponded to worsening in gait score of the Scale for Assessment and Rating of Ataxia. Real-life activity monitoring is feasible and well tolerated by patients. Accelerometer-based measures can quantify disease progression in FRDA over 1 year, providing objective information about patient’s motor activities and supporting the usefulness of these data as complementary outcome measure in interventional trials. |
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AbstractList | Quantitative measurement of physical activity may complement neurological evaluation and provide valuable information on patients’ daily life. We evaluated longitudinal changes of physical activity in patients with Friedreich ataxia (FRDA) using remote monitoring with wearable sensors. We performed an observational study in 26 adult patients with FRDA and 13 age-sex matched healthy controls (CTR). Participants were asked to wear two wearable sensors, at non-dominant wrist and at waist, for 7 days during waking hours. Evaluations were performed at baseline and at 1-year follow-up. We analysed the percentage of time spent in sedentary or physical activities, the Vector Magnitude on the 3 axes (VM3), and average number of steps/min. Study participants were also evaluated with ataxia clinical scales and functional tests for upper limbs dexterity and walking capability. Baseline data showed that patients had an overall reduced level of physical activity as compared to CTR. Accelerometer-based measures were highly correlated with clinical scales and disease duration in FRDA. Significantly changes from baseline to l-year follow-up were observed in patients for the following measures: (i) VM3; (ii) percentage of sedentary and light activity, and (iii) percentage of Moderate-Vigorous Physical Activity (MVPA). Reduction in physical activity corresponded to worsening in gait score of the Scale for Assessment and Rating of Ataxia. Real-life activity monitoring is feasible and well tolerated by patients. Accelerometer-based measures can quantify disease progression in FRDA over 1 year, providing objective information about patient’s motor activities and supporting the usefulness of these data as complementary outcome measure in interventional trials. Quantitative measurement of physical activity may complement neurological evaluation and provide valuable information on patients' daily life. We evaluated longitudinal changes of physical activity in patients with Friedreich ataxia (FRDA) using remote monitoring with wearable sensors. We performed an observational study in 26 adult patients with FRDA and 13 age-sex matched healthy controls (CTR). Participants were asked to wear two wearable sensors, at non-dominant wrist and at waist, for 7 days during waking hours. Evaluations were performed at baseline and at 1-year follow-up. We analysed the percentage of time spent in sedentary or physical activities, the Vector Magnitude on the 3 axes (VM3), and average number of steps/min. Study participants were also evaluated with ataxia clinical scales and functional tests for upper limbs dexterity and walking capability. Baseline data showed that patients had an overall reduced level of physical activity as compared to CTR. Accelerometer-based measures were highly correlated with clinical scales and disease duration in FRDA. Significantly changes from baseline to l-year follow-up were observed in patients for the following measures: (i) VM3; (ii) percentage of sedentary and light activity, and (iii) percentage of Moderate-Vigorous Physical Activity (MVPA). Reduction in physical activity corresponded to worsening in gait score of the Scale for Assessment and Rating of Ataxia. Real-life activity monitoring is feasible and well tolerated by patients. Accelerometer-based measures can quantify disease progression in FRDA over 1 year, providing objective information about patient's motor activities and supporting the usefulness of these data as complementary outcome measure in interventional trials.Quantitative measurement of physical activity may complement neurological evaluation and provide valuable information on patients' daily life. We evaluated longitudinal changes of physical activity in patients with Friedreich ataxia (FRDA) using remote monitoring with wearable sensors. We performed an observational study in 26 adult patients with FRDA and 13 age-sex matched healthy controls (CTR). Participants were asked to wear two wearable sensors, at non-dominant wrist and at waist, for 7 days during waking hours. Evaluations were performed at baseline and at 1-year follow-up. We analysed the percentage of time spent in sedentary or physical activities, the Vector Magnitude on the 3 axes (VM3), and average number of steps/min. Study participants were also evaluated with ataxia clinical scales and functional tests for upper limbs dexterity and walking capability. Baseline data showed that patients had an overall reduced level of physical activity as compared to CTR. Accelerometer-based measures were highly correlated with clinical scales and disease duration in FRDA. Significantly changes from baseline to l-year follow-up were observed in patients for the following measures: (i) VM3; (ii) percentage of sedentary and light activity, and (iii) percentage of Moderate-Vigorous Physical Activity (MVPA). Reduction in physical activity corresponded to worsening in gait score of the Scale for Assessment and Rating of Ataxia. Real-life activity monitoring is feasible and well tolerated by patients. Accelerometer-based measures can quantify disease progression in FRDA over 1 year, providing objective information about patient's motor activities and supporting the usefulness of these data as complementary outcome measure in interventional trials. |
Author | Marchini, Gloria Mariotti, Caterina Monelli, Alessia Vukaj, Xhuljano Porcelli, Simone Castaldo, Anna Marzorati, Mauro Neri, Marianna Nanetti, Lorenzo Fichera, Mario |
AuthorAffiliation | 1 Unit of Medical Genetics and Neurogenetics , Fondazione IRCCS Istituto Neurologico Carlo Besta , Milan , Italy 2 Department of Molecular Medicine , University of Pavia , Pavia , Italy 3 Institute of Biomedical Technologies , National Research Council , Segrate , Italy |
AuthorAffiliation_xml | – name: 2 Department of Molecular Medicine , University of Pavia , Pavia , Italy – name: 1 Unit of Medical Genetics and Neurogenetics , Fondazione IRCCS Istituto Neurologico Carlo Besta , Milan , Italy – name: 3 Institute of Biomedical Technologies , National Research Council , Segrate , Italy |
Author_xml | – sequence: 1 givenname: Mario surname: Fichera fullname: Fichera, Mario – sequence: 2 givenname: Lorenzo surname: Nanetti fullname: Nanetti, Lorenzo – sequence: 3 givenname: Alessia surname: Monelli fullname: Monelli, Alessia – sequence: 4 givenname: Anna surname: Castaldo fullname: Castaldo, Anna – sequence: 5 givenname: Gloria surname: Marchini fullname: Marchini, Gloria – sequence: 6 givenname: Marianna surname: Neri fullname: Neri, Marianna – sequence: 7 givenname: Xhuljano surname: Vukaj fullname: Vukaj, Xhuljano – sequence: 8 givenname: Mauro surname: Marzorati fullname: Marzorati, Mauro – sequence: 9 givenname: Simone surname: Porcelli fullname: Porcelli, Simone – sequence: 10 givenname: Caterina surname: Mariotti fullname: Mariotti, Caterina |
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Cites_doi | 10.1249/MSS.0b013e3181ed61a3 10.1212/01.wnl.0000256037.63832.6f 10.1016/j.jns.2011.09.016 10.1093/brain/awn059 10.1212/NXG.0000000000000371 10.1007/s12311-021-01306-y 10.1093/braincomms/fcad064 10.1007/s12311-023-01625-2 10.1002/mds.28343 10.1007/s12311-021-01348-2 10.1249/01.mss.0000171615.76521.69 10.1007/s12311-023-01568-8 10.1038/s41591-022-02159-6 10.1016/j.gaitpost.2016.05.014 10.1212/01.wnl.0000219042.60538.92 10.1002/acn3.51438 10.1212/CPJ.0000000000000971 10.1007/s00415-019-09427-5 10.1212/WNL.0000000000010176 10.1007/s12311-022-01385-5 10.1093/geroni/igz038.1918 10.1002/mds.28930 10.2196/32997 10.1016/S1474-4422(1470321-7) 10.1002/mds.28740 10.3390/s19245571 10.1097/00005768-199805000-00021 10.1111/ncn3.12174 |
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Copyright | Copyright © 2024 Fichera, Nanetti, Monelli, Castaldo, Marchini, Neri, Vukaj, Marzorati, Porcelli and Mariotti. Copyright © 2024 Fichera, Nanetti, Monelli, Castaldo, Marchini, Neri, Vukaj, Marzorati, Porcelli and Mariotti. 2024 Fichera, Nanetti, Monelli, Castaldo, Marchini, Neri, Vukaj, Marzorati, Porcelli and Mariotti |
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Keywords | activity monitor Friedreich ataxia wearable sensors outcome measures digital measure |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Andrea Martinuzzi, Eugenio Medea (IRCCS), Italy Winfried Ilg, University of Tübingen, Germany These authors have contributed equally to this work Edited by: Yina Dong, Children’s Hospital of Philadelphia, United States |
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Title | Accelerometer-based measures in Friedreich ataxia: a longitudinal study on real-life activity |
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