Handgrip strength measured by a dynamometer connected to a smartphone: a new applied health technology solution for the self-assessment of rheumatoid arthritis disease activity
| Autor: | Sylvain Lieu, Yves-Marie Pers, Francisco Espinoza, Christian Jorgensen, Pierre Le Blay, Janet Munro, Denis Coulon |
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| Přispěvatelé: | Hôpital Lapeyronie [Montpellier] (CHU), Neuropsychiatrie : recherche épidémiologique et clinique (PSNREC), Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Cellules Souches, Plasticité Cellulaire, Médecine Régénératrice et Immunothérapies (IRMB), Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM) |
| Rok vydání: | 2016 |
| Předmět: |
Male
medicine.medical_specialty Technology Assessment Biomedical [SDV]Life Sciences [q-bio] Severity of Illness Index Arthritis Rheumatoid Diagnostic Self Evaluation 03 medical and health sciences 0302 clinical medicine Rheumatology Hand strength Internal medicine Severity of illness medicine Humans Pharmacology (medical) Prospective Studies 030212 general & internal medicine Prospective cohort study ComputingMilieux_MISCELLANEOUS 030203 arthritis & rheumatology Hand Strength Dynamometer business.industry Mean age Regression analysis Middle Aged medicine.disease Telemedicine 3. Good health Rheumatoid arthritis Physical therapy Female Smartphone business Rheumatoid arthritis disease activity |
| Zdroj: | Rheumatology Rheumatology, Oxford University Press (OUP), 2016, 55 (5), pp.897-901. ⟨10.1093/rheumatology/kew006⟩ |
| ISSN: | 1462-0332 1462-0324 1460-2172 |
| DOI: | 10.1093/rheumatology/kew006 |
| Popis: | OBJECTIVE The aim was to analyse the accuracy of a hand dynamometer connected to a smartphone to assess RA disease activity through the measurement of handgrip strength (HGS). METHODS Eighty-two RA patients participated in this prospective study. Three types of HGS were assessed: power (Po), pinch (Pi) and tripod (T). An interactive mobile application was developed to capture grip measures. A unilinear regression analysis between HGS and DAS28 was performed. A multivariate regression analysis to identify independent variables related to HGS was also conducted. RESULTS Sixty-three patients (76.8%) were female. Mean age was 61.3 years. At baseline, a negative correlation between the three HGS measures and DAS28 score was found, as follows: Po, r = -0.65 (95% CI: -0.76, -0.51, P < 0.001); Pi, r= -0.42 (95% CI: -0.59, -0.23, P < 0.001); and T, r = -0.47 (95% CI: -0.63, -0.29, P < 0.001). In a longitudinal analysis of 32 patients, a negative correlation between ΔPo grip and ΔDAS28 was found (r = -0.76, 95% CI: -0.88, -0.56). Po grip was independently correlated with male sex (95% CI: 1.49, 4.14, P = 0.002), whereas variables inversely correlated with Po grip were disease duration (95% CI: -2.71, -1.34, P = 0.03), patient global assessment (95% CI: -2.41, -1.1, P < 0.001) and CRP level (95% CI: -3.56, -1.08, P < 0.001). CONCLUSION HGS assessed by a hand dynamometer connected to a smartphone represents an innovative health technology solution that could prompt the self-assessment of RA disease activity in an outpatient setting. |
| Databáze: | OpenAIRE |
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