Objective Parameters in Attention Deficit Hyperactivity Disorder: Eye and Head Movements.

OBJECTIVE: We aimed to evaluate eye and head movements, which are objective parameters in ADHD. Method: While the children were watching the course video task, which included the relevant (teacher and smart board) and irrelevant (any regions outside the relevant area) areas of interest, their eye movements were evaluated through eye tracking, and video recordings were made simultaneous. Head position estimation was made using through video recordings. The proportion of total fixation duration on areas of interest (PFDAOI) and saccade count, amplitude, velocity for eye movements, number of total head movements and angular change of head movement in x-y-z axes for head movements were compared. RESULTS: Children with ADHD had lower PFDAOI on the relevant area, and had more saccade and head movements The angular change of head movement in the x-axis was higher in the ADHD group. CONCLUSION: In the assessment of ADHD, the eye and head movements may be particulary useful.

Detecting biomarkers associated with antipsychotic-induced extrapyramidal syndromes by using machine learning techniques.

BACKGROUND: Antipsychotic-associated extrapyramidal syndromes (EPS) are a common side effect that may result in discontinuation of treatment. Although some clinical features of individuals who develop specific EPSs are well defined, no specific laboratory parameter has been identified to predict the risk of developing EPS. METHODS: Three hundred and ninety hospitalizations of patients under antipsychotic medication were evaluated. Machine learning techniques were applied to laboratory parameters routinely collected at admission. RESULTS: Random forests classifier gave the most promising results to show the importance of parameters in developing EPS. Albumin has the maximum importance in the model with 4.28% followed by folate with 4.09%. The mean albumin levels of EPS and non-EPS group was 4,06 ± 0,40 and 4,24 ± 0,37 (p = 0,027) and folate level was 6,42 ± 3,44 and 7,95 ± 4,16 (p = 0,05) respectively. Both parameters showed lower levels in EPS group. CONCLUSIONS: Our results suggest that relatively low albumin and folate levels may be associated with developing EPS. Further research is needed to determine cut-off levels for these candidate markers to predict EPS.

Management of scapular dysfunction in facioscapulohumeral muscular dystrophy: the biomechanics of winging, arthrodesis indications, techniques and outcomes.

Facioscapulohumeral muscular dystrophy (FSHD) is a common hereditary disorder which typically results in scapular winging due to wasting of the periscapular muscles affected by this condition. Scapulothoracic arthrodesis (STA) is the current surgical treatment for FSHD patients with severe winging and preserved deltoid muscle. There are several different techniques in the literature such as multifilament cables alone and cable or cerclage wires combined with single or multiple plates. We prefer cables without plates as it provides independent strong fixation points and strongly recommend utilization of autograft. The functional results of studies report that regardless of the technique used, shoulder elevation and thus quality of life is improved, as shown with outcome scores. There are several complications associated with STA. Pulmonary complications are common and usually resolve spontaneously. Meticulous surgical technique and effective postoperative analgesia may reduce the incidence. Scapular complications which are associated with the fixation may be encountered in the early or late period, which are related to the learning curve of the surgeon. In conclusion, STA is a reliable solution to a major problem in FSHD patients that helps them maintain their activities of daily living until a cure for the disease is found. A successful result is strongly dependent on patient selection, and a multidisciplinary team of neurologists, geneticists and orthopaedic surgeons is required to achieve good results.

Aligning Dentato-Rubro-Thalamic Tract and Subthalamic Nucleus Targets in a Patient with Comorbid Essential Tremor and Parkinson's Disease: Case Report.

Deep brain stimulation is an established treatment option for both essential tremor (ET) and Parkinson's disease (PD), although typically targeting different brain structures. Some patients are diagnosed with comorbid ET and PD. Selecting the optimal stimulation target in these patients is challenging. We present a patient with comorbid ET and PD in whom we used bilaterally a single parietal trajectory to align the dentato-rubro-thalamic tract and the subthalamic nucleus. Although parietal trajectories are challenging, we reached satisfactory outcomes for both conditions without complications. Single-electrode deep brain stimulation of the dentato-rubro-thalamic tract and the subthalamic nucleus through a parietal approach may represent a feasible treatment option in this patient group.

3D-Printed Multi-Stimuli-Responsive Mobile Micromachines.

Magnetically actuated and controlled mobile micromachines have the potential to be a key enabler for various wireless lab-on-a-chip manipulations and minimally invasive targeted therapies. However, their embodied, or physical, task execution capabilities that rely on magnetic programming and control alone can curtail their projected performance and functional diversity. Integration of stimuli-responsive materials with mobile magnetic micromachines can enhance their design toolbox, enabling independently controlled new functional capabilities to be defined. To this end, here, we show three-dimensional (3D) printed size-controllable hydrogel magnetic microscrews and microrollers that respond to changes in magnetic fields, temperature, pH, and divalent cations. We show two-way size-controllable microscrews that can reversibly swell and shrink with temperature, pH, and divalent cations for multiple cycles. We present the spatial adaptation of these microrollers for penetration through narrow channels and their potential for controlled occlusion of small capillaries (30 µm diameter). We further demonstrate one-way size-controllable microscrews that can swell with temperature up to 65% of their initial length. These hydrogel microscrews, once swollen, however, can only be degraded enzymatically for removal. Our results can inspire future applications of 3D- and 4D-printed multifunctional mobile microrobots for precisely targeted obstructive interventions (e.g., embolization) and lab- and organ-on-a-chip manipulations.

The impact of exercise on physical function, cardiovascular outcomes and quality of life in chronic kidney disease patients: a systematic review.

The prevalence of chronic kidney disease (CKD) and end-stage renal disease (ESRD) is increasing steadily. CKD does not only relate to morbidity and mortality but also has impact on quality of life, depression and malnutrition. Such patients often have significantly decreased physical activity. Recent evidence suggests that low physical activity is associated with morbidity, mortality, muscle atrophy, quality of life impairment, cardiovascular outcomes and depression. Based on this, it is now recommended to regularly improve the physical activity of these patients. Furthermore, studies have shown the beneficial effects of various exercise programs with respect to outcomes such as low physical activity muscle atrophy, quality of life, cardiovascular outcomes and depression. Despite these encouraging findings, the subject is still under debate, with various aspects still unknown. In this review, we tried to critically summarize the existing studies, to explore mechanisms and describe future perspectives regarding physical activity in CKD/ESRD patients.

The development of a novel knowledge-based weaning algorithm using pulmonary parameters: a simulation study.

Weaning is important for patients and clinicians who have to determine correct weaning time so that patients do not become addicted to the ventilator. There are already some predictors developed, such as the rapid shallow breathing index (RSBI), the pressure time index (PTI), and Jabour weaning index. Many important dimensions of weaning are sometimes ignored by these predictors. This is an attempt to develop a knowledge-based weaning process via fuzzy logic that eliminates the disadvantages of the present predictors. Sixteen vital parameters listed in published literature have been used to determine the weaning decisions in the developed system. Since there are considered to be too many individual parameters in it, related parameters were grouped together to determine acid-base balance, adequate oxygenation, adequate pulmonary function, hemodynamic stability, and the psychological status of the patients. To test the performance of the developed algorithm, 20 clinical scenarios were generated using Monte Carlo simulations and the Gaussian distribution method. The developed knowledge-based algorithm and RSBI predictor were applied to the generated scenarios. Finally, a clinician evaluated each clinical scenario independently. The Student's t test was used to show the statistical differences between the developed weaning algorithm, RSBI, and the clinician's evaluation. According to the results obtained, there were no statistical differences between the proposed methods and the clinician evaluations.