Rapid foot-tapping but not hand-tapping ability is different between relapsing-remitting and progressive multiple sclerosis

Sato, Sumire; Lim, Jongwoo; Miehm, Jules D.; Buonaccorsi, John P.; Rajala, Caitlin; Khalighinejad, Farnaz; Ionete, Carolina; Kent, Jane A.; Emmerik, Richard E.A. van

doi:10.1016/j.msard.2020.102031

Cited by 5 publications

(2 citation statements)

References 34 publications

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“…The tapping test was chosen to allow mathematical modeling of repeated movement and has the advantage of using the same software and analytical approach for upper and lower limbs. Tapping tests have been shown to detect progression in MS 17,18 . The simplicity of tapping also allows the eventual generalizability of use by medical assistants and nonclinical personnel, as well as future application in other diseases.…”

Section: Methodsmentioning

confidence: 99%

Biosensor vital sign detects multiple sclerosis progression

Krysko

Akhbardeh

Arjona

et al. 2020

Ann Clin Transl Neurol

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Objective To determine whether a small, wearable multisensor device can discriminate between progressive versus relapsing multiple sclerosis (MS) and capture limb progression over a short interval, using finger and foot tap data. Methods Patients with MS were followed prospectively during routine clinic visits approximately every 6 months. At each visit, participants performed finger and foot taps wearing the MYO‐band, which includes accelerometer, gyroscope, and surface electromyogram sensors. Metrics of within‐patient limb progression were created by combining the change in signal waveform features over time. The resulting upper (UE) and lower (LE) extremity metrics’ discrimination of progressive versus relapsing MS were evaluated with calculation of AUROC. Comparisons with Expanded Disability Status Scale (EDSS) scores were made with Pearson correlation. Results Participants included 53 relapsing and 15 progressive MS (72% female, baseline mean age 48 years, median disease duration 11 years, median EDSS 2.5, median 10 months follow‐up). The final summary metrics differentiated relapsing from secondary progressive MS with AUROC UE 0.93 and LE 0.96. The metrics were associated with baseline EDSS (UE P = 0.0003, LE P = 0.0007). While most had no change in EDSS during the short follow‐up, several had evidence of progression by the multisensor metrics. Interpretation Within a short follow‐up interval, this novel multisensor algorithm distinguished progressive from relapsing MS and captured changes in limb function. Inexpensive, noninvasive and easy to use, this novel outcome is readily adaptable to clinical practice and trials as a MS vital sign. This approach also holds promise to monitor limb dysfunction in other neurological diseases.

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Section: Methodsmentioning

confidence: 99%

Biosensor vital sign detects multiple sclerosis progression

Krysko

Akhbardeh

Arjona

et al. 2020

Ann Clin Transl Neurol

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“…Foot tap speed is a measure of physical function that slows with diseases that affect the central nervous system, such as Parkinson's disease (Gunzler et al, 2009) and multiple sclerosis (Sato et al, 2020). Foot tapping requires the central nervous system to activate the leg muscles rapidly and repeatedly.…”

Section: Introductionmentioning

confidence: 99%

Hand grip strength, standing balance, and rapid foot tapping in relation to the menopausal transition in Campeche, Mexico

Sievert

Gómez

Cahuich‐Campos

et al. 2022

American J Hum Biol

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Objectives This cross‐sectional study investigated menopause status in relation to hand grip strength, standing balance, and rapid foot tapping. A secondary aim was to examine the relationship between physical performance and urban/rural residence with a focus on habitual daily tasks. Methods Maya and non‐Maya women (40–60 years) were drawn from urban and rural sites in Campeche, Mexico (n = 543). Demographic, reproductive, and lifestyle information was collected in face‐to‐face interviews along with anthropometric and physical function measures. Linear regression was used to evaluate menopause status in relation to strength, balance, and foot tapping speed while adjusting for residence, ethnicity, and other variables. Results Hand grip strength was 22.5, 21.6, and 20.0 kg in pre‐, peri‐, and postmenopausal women, respectively, but menopause status was not significantly related to grip strength in models adjusted for age. Grip strength was negatively associated with age and socioeconomic index, and positively associated with height and weight, self‐reported health, and hours/week spent grinding corn/making tortillas. Postural stability was 9.4, 6.9, and 5.6 s across menopause categories; and menopause status remained significant in adjusted models. The number of foot taps in 10 s was 35.7, 33.4, and 33.9 taps in pre‐, peri‐, and postmenopausal women. Parity was negatively associated with foot tapping in adjusted models. Conclusions While age is a key predictor of physical function in women aged 40–60 years, menopausal status appears to have additional influences on postural control beyond age alone. Hours spent grinding corn/making tortillas were significantly associated with grip strength among rural women.

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