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BACKGROUND: Writer's cramp is a task-specific focal hand dystonia, which is diagnosed clinically. Quantification of defect in WC is done using clinical scales, while digitized platforms are lacking. OBJECTIVE: To design and test a platform that can differentiate and quantify the abnormal kinematics of writing using a software interface and to validate it in adult-onset isolated writer's cramp (WC). METHODS: A native platform was designed using Java and Wacom Intuos pro tablet and the data analyzed using a MATLAB-based platform called Large Data-Based Evaluation of Kinematics in Handwriting (LEKH). We standardized this new platform by comparing the handwriting between patients with WC and age, and gender and education-matched healthy controls, using standard tasks to assess the kinematics. RESULTS: Comparison of the writing of right-handed WC patients (N = 21) and 39 healthy controls (N = 39) showed that patients differed from controls in the frequency of strokes (P < 0.001), number of inversions of velocity (P < 0.001), number of breaks (P = 0.02), air time and paper time (P < 0.001). CONCLUSIONS: Using the LEKH platform, the kinematic profile of patients with WC could be differentiated from healthy controls. Studies in larger samples will be needed to derive statistical models that can differentiate the flexion and extension types of WC which can help in muscle selection and to quantify the effects of treatment.
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BACKGROUND: There are little data on the use of smartphone-based applications for medication adherence and risk-factor control for the secondary prevention of stroke in low-and-middle-income countries (LMICs). AIMS: The aim was to determine whether a smartphone-based app improved medication adherence, risk-factor control, and provided health education to stroke survivors for lifestyle and behavioral modifications. METHODS: An unblinded, single-center randomized controlled double arm trial with 1:1 allocation among stroke survivors was performed in South India. The primary outcome was medication adherence, with co-primary outcomes of lifestyle and behavioral factors and control of vascular risk factors, at 3 and 6 months. RESULTS: Among 351 stroke survivors screened, 209 were recruited. The mean (standard deviation (SD)) age of the intervention (n = 105) group was 60 (12) years and that of the control (n = 104) group was 60 (10) years. In the primary outcome, mean medication adherence significantly improved in the intervention group with a between group difference of 0.735 (95% confidence interval (CI) = 0.419 to 1.050), p < 0.001. Being in intervention group (OR = 4.5; 95% CI = 2.3 to 8.9), stroke recurrence (OR = 3.3 (95% CI = 1.9 to 7.8)), and regular physician visits (OR = 2.1; 95% CI = 1.0 to 4.4) were significant predictors of good medication adherence. Considering the co-primary outcomes, compared to the control group, participants in the intervention group had a greater improvement in self-reported healthy diet intake (p = 0.003), intake of fruits (p = 0.005), and were physically more active (p = 0.001). At 6 months, mean fasting blood sugar (p = 0.005) and high-density lipoprotein cholesterol higher (p = 0.024) in the intervention group. CONCLUSIONS: The use of a mobile app is an effective method to improve medication adherence and risk-factor control in stroke survivors and is feasible in LMICs like India. DATA ACCESS STATEMENT: Data used during the study are available from the corresponding author on request. TRIAL REGISTRATION: The study is registered in Clinical Trial Registry of India (CTRI/2022/06/042980).
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Background: In LMICs, the medication adherence and risk factor control are suboptimal in the post-stroke follow-up period. With shortage of physicians, smartphone-based interventions can help stroke survivors in secondary stroke prevention. Objectives: We aim to validate a digital innovative technology-based intervention to improve the awareness, medication adherence, control of risk factors through timely intervention of physician among the stroke survivors. Methods: MAMOR is a smartphone-based application to improve the stroke awareness by heath education materials, reminders to timely adherence of medication, alerts on control of risk factors, video files, and timely physician intervention. The study will involve development of the app using contextual research (Delphi qualitative method) followed by a randomized, single center, double arm-controlled trial with 1:1 assignment. The app will be evaluated over a period of 6 months with a target to enroll 192 participants. Process evaluation will be conducted. The sample size was calculated as 192, considering medication adherence of 43.8%, 20% increase in medication adherence by app, power of 80%, and 10% loss to follow-up. Results: The primary outcome will be medication adherence, changes in the lifestyle and behavioral and control of vascular risk factors. The secondary outcome will include vascular events and functional outcome. Conclusion: This study will be one among the few studies for secondary prevention of stroke through digital technology innovation in LMICs with resource constraints. The evidences generated from this study will provide translational evidence for other similar settings for stroke survivors.
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Anterior tooth fracture as a result of traumatic injuries, is frequently encountered in endodontic practice. Proper reconstruction of extensively damaged teeth can be achieved through the fragment reattachment procedure known as "biological restoration." This case report refers to the esthetics and functional recovery of extensively damaged maxillary central incisor through the preparation and adhesive cementation of "biological post" in a young patient. Biological post obtained through extracted teeth from another individual-represent a low-cost option and alternative technique for the morphofunctional recovery of extensively damaged anterior teeth.
