POS0845 SCLERODERMIC HAND SENSOR: SMART TECHNOLOGY APPLIED TO RHEUMATOLOGY
Authors: S. Parisi, M. C. Ditto, C. L. Peroni, A. Laganà, E. Fusaro
Journal: Annals of the Rheumatic Diseases (2021)

Background: Systemic Sclerosis (SSc) is an autoimmune rheumatic disease characterized by excessive production and accumulation of collagen in the skin and internal organs and by injuries to small arteries. Impairment of the musculoskeletal system is one of the main causes of disability in SSc, indeed, about 90% of these patients have a loss of hand function. To date, the degree of skin involvement is evaluated through a semi-quantitative method called Rodnan Skin Score (RSS) or Modified-RSS (MRSS). However, MRSS is a method that has limitations related to the operator and his experience and does not provide information on joint mobility. Arduino® is an open source integrated online platform based on easy to use hardware and software. It is a system for creating interactive projects by inserting a special configuration code, using the Arduino® development environment. Through this platform it is possible to create electronic devices with specific purposes to lead the possibility of integrating different kits (eg types of sensors) in relation to the object of study. Objectives: We have therefore created an electronic instrument (Sclerodermic Hand Sensor - SHS) independent operator and easily reproducible in order to measure the degree of mobility (flexion) of the hand in patients with SSc (Fig.1). The aim was to evaluate whether the SHS was able to highlight significant differences between patients with SSc and healthy patients. Methods: We recruited 20 female patients with SSc according to ACR criteria with a mean age of 50.8 ± 15.5 years and 20 healthy (HC) patients with a mean age of 44.3 ± 10.8 years (Tab.1), in order to test the effectiveness and sensitivity of the SHS tool. Results: The results showed a significant difference between the two groups of patients (SSc vs HC) independent of the measurement method used as expected (Goniometer SSc / HC: Δ45.80 ° p: 0.003 SHS SSc / HC: Δ65.17 ° p: 0.002, Fig.1c), however the device created with Arduino® proved to be more sensitive than the goniometric measurement in detecting the degree of joint flexion (p: 0.002). The flexion sensor, indeed, unlike the goniometer, evaluates the simultaneous articular excursion of the entire finger (MCF, IFP and IFD) and not just one segment (Fig.1). Conclusion: This technology application, thanks to the creation of dedicated electronic devices, allows the physicians to be supported in clinical practice with independent operating tools. The tool we propose could be a valid support in accurately assessing the joint and indirectly skin involvement of sclerodactyly in this type of patient, especially in the context of a clinical trial to evaluate the efficacy of a treatment. Further studies are needed to compare with other methods to assess hand disability in SSc such as the use of HAMIS (Hand Mobility in Scleroderma) test. References: [1]Sandqvist G et al. J Rheumatol. 2016 Jul;43(7):1356-62. [2] https://www.arduino.cc . Table 1. SSc Patients Characteristics Chararcteristics SSc Patients (n°, subset D=Diffuse; L=Limited) 20 (9D/11L) Age, mean ± SD years 50.8 ± 15.5 Duration of Raynaud’s Phenomenon (mean ± SD years) 12.8 ± 4.4 Duration of SSc (mead ± SD years) 8.4 ± 3.6 MRSS (mean ± SD years) 15.9 ± 5.3 Disclosure of Interests: None declared