Francisco Espinoza1, Pierre Le Blay1, Denis Coulon2, Sylvain Lieu2, Janet Munro3, Christian Jorgensen1, Yves-Marie Pers4. 1. Clinical Immunology and Osteoarticular Diseases Therapeutic Unit, Lapeyronie University Hospital, Montpellier. 2. Bodysens, Nimes and. 3. Optimal Medicine, Montpellier, France. 4. Clinical Immunology and Osteoarticular Diseases Therapeutic Unit, Lapeyronie University Hospital, Montpellier, ympers2000@yahoo.fr.
Abstract
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.
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 RApatients 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.
Authors: Bart F Seppen; Pim den Boer; Jimmy Wiegel; Marieke M Ter Wee; Marike van der Leeden; Ralph de Vries; Martin van der Esch; Wouter H Bos Journal: JMIR Mhealth Uhealth Date: 2020-11-05 Impact factor: 4.773
Authors: Annette de Thurah; Andrea Marques; Savia de Souza; Cynthia S Crowson; Elena Myasoedova Journal: Ther Adv Musculoskelet Dis Date: 2022-03-17 Impact factor: 5.346