Computer Vision for Parkinson's Disease Evaluation: A Survey on Finger Tapping.

Parkinson's disease (PD) is a progressive neurodegenerative disorder whose prevalence has steadily been rising over the years. Specialist neurologists across the world assess and diagnose patients with PD, although the diagnostic process is time-consuming and various symptoms take years to appear, which means that the diagnosis is prone to human error. The partial automatization of PD assessment and diagnosis through computational processes has therefore been considered for some time. One well-known tool for PD assessment is finger tapping (FT), which can now be assessed through computer vision (CV). Artificial intelligence and related advances over recent decades, more specifically in the area of CV, have made it possible to develop computer systems that can help specialists assess and diagnose PD. The aim of this study is to review some advances related to CV techniques and FT so as to offer insight into future research lines that technological advances are now opening up.

Retrospective Study of Lung Cancer: Evolution in 16 Years in the Burgos Region.

Background: This study investigates the evolution of lung cancer in the population of Burgos over more than a decade, focusing on key variables such as age, gender, histology, and stage of diagnosis. The aim is to understand how incidence rates and patterns have changed over time, especially in terms of early diagnosis. Methods: Retrospective data were collected from the Burgos University Hospital using histological or clinicoradiological methods. This data collection approach enabled a comprehensive examination of lung cancer trends in the province. Results: The results reveal an overall decrease in lung cancer incidence rates in men, offset by a steady increase in women. Histological analysis highlights a significant increase in adenocarcinoma, accounting for 43% of cases in the last year studied. Despite diagnostic advances, almost half of the diagnoses were made at stage IV, with no statistically significant change from previous years, highlighting persistent challenges in early diagnosis. Conclusions: The findings will not only inform resource management and prevention but could also have a significant impact on improved screening strategies and future lung cancer research.

Validation of ActiGraph and Fitbit in the assessment of energy expenditure in Huntington's disease.

BACKGROUND: Consumer and research activity monitors have become popular because of their ability to quantify energy expenditure (EE) in free-living conditions. However, the accuracy of activity trackers in determining EE in people with Huntington's Disease (HD) is unknown. RESEARCH QUESTION: Can the ActiGraph wGT3X-B or the Fitbit Charge 4 accurately measure energy expenditure during physical activity, in people with HD compared to Indirect Calorimetry (IC) (Medisoft Ergo Card)? METHODS: We conducted a cross-sectional, observational study with fourteen participants with mild-moderate HD (mean age 55.7 ± 11.4 years). All participants wore an ActiGraph and Fitbit during an incremental test, running on a treadmill at 3.2 km/h and 5.2 km/h for three minutes at each speed. We analysed and compared the accuracy of EE estimates obtained by Fitbit and ActiGraph against the EE estimates obtained by a metabolic cart, using with Intra-class correlation (ICC), Bland-Altman analysis and correlation tests. RESULTS: A significant correlation and a moderate reliability was found between ActiGraph and IC for the incremental test (r = 0.667)(ICC=0.633). There was a significant correlation between Fitbit and IC during the incremental test (r = 0.701), but the reliability was poor at all tested speeds in the treadmill walk. Fitbit significantly overestimated EE, and ActiGraph underestimated EE compared to IC, but ActiGraph estimates were more accurate than Fitbit in all tests. SIGNIFICANCE: Compared to IC, Fitbit Charge 4 and ActiGraph wGT3X-BT have reduced accuracy in estimating EE at slower walking speeds. These findings highlight the need for population-specific algorithms and validation of activity trackers.

Impact of the COVID-19 Pandemic on the Diagnosis of Malignant Neoplasia of the Bronchus and Lung in the Burgos Region.

PURPOSE: To retrospectively analyze the impact of the COVID-19 pandemic on the diagnosis, mortality rate, and survival period of malignant bronchial and lung neoplasms in the Burgos region, with the aim of promoting the development of strategies to improve cancer care management during health crises, highlighting the importance of non-pharmacological approaches to mitigate the negative impacts of future pandemics on lung cancer patients. METHODS: This retrospective, longitudinal, single-center study was conducted in Burgos from 2019 to 2021. Participants included all patients diagnosed with malignant bronchial and lung neoplasms by the Pneumology unit of Complejo Asistencial Universitario de Burgos during the year immediately before and the year immediately after 31 March 2020, the official start date of the pandemic. Inclusion criteria encompassed patients diagnosed through histological or clinicoradiological methods, who provided informed consent. Data were systematically gathered using a specific template that included demographic information, disease stage, death, and survival time. Statistical analysis involved descriptive methods, ANOVA, and chi-square tests to assess differences in survival time and associations between categorical variables. RESULTS: The results reveal a decrease in the number of patients diagnosed during the pandemic period (154 vs. 105), which could indicate delays in detection. However, there were no significant differences between the two periods, in which more than 60% of cases were detected in stage IV, being incompatible with survival. Although fewer patients died during the pandemic than expected (p = 0.015), patients diagnosed after the onset of the pandemic had a shorter survival time (182.43 ± 142.63 vs. 253.61 ± 224.30; p = 0.038). Specifically, those diagnosed in stage I during the pre-pandemic had a much longer survival time (741.50 days) than the rest of the patients (p < 0.05). In addition, among those diagnosed in stage IV, those diagnosed after the beginning of the pandemic had a shorter survival time (157.29 ± 202.36 vs. 241.18 ± 218.36; p = 0.026). CONCLUSIONS: Understanding these changes can support both medical strategies and non-pharmacological therapies to improve cancer care management during health crises, thus contributing to the optimization of public health.

Effect of Conservative Rehabilitation Interventions on Health-Related Quality of Life in Women with Upper Limb Lymphedema Secondary to Breast Cancer: A Systematic Review.

Breast cancer-related lymphedema (BCRL) of the upper limb is a very common condition in women undergoing breast cancer treatment; it can cause considerable alterations in the daily life of patients and a decrease in their health-related quality of life (HRQoL). Currently, there are many conservative therapies that try to palliate the symptoms, but the results are still controversial and there are still no globally accepted treatments. The purpose of this article is to determine the effect, according to the current available evidence, on HRQoL of different conservative interventions in the rehabilitation of BCRL in the upper limb in women. Eighteen articles that compared the effects of standard treatments, such as manual lymphatic drainage-based decongestive therapy or compression measures, and other newer treatments, including new technologies and other types of treatment programs, were reviewed. According to the results of this review, the most recommended modality for the improvement of HRQoL would be a complex decongestive technique without manual lymphatic drainage. Although there are clinical trials that have demonstrated the effectiveness of various treatments, the results of the positive effects on HRQoL remain highly controversial. There is a need to continue to develop studies to help guide therapeutic decisions that can promote HRQoL in women affected by upper limb BCRL.

How can I assess my patients with Parkinson's disease during a busy clinic day?

BACKGROUND: The evaluation of motor impairment in Parkinson's disease (PD) is mainly assessed with the motor subdomain of the Unified Parkinson's Disease Rating scale (UPDRS part III) and, lately, with the MDS-UPDRS part III. To optimize efforts and special needs during specific circumstances in clinical practice, we sought to identify the most sensitive items to assess motor impairment in PD. METHODS: We included the COPPADIS-PD cohort and collected the UPDRS part III at baseline (V0), 12 months (V1), and 24 months (V2). Factor analysis and effect size using Cohen's d formula were performed in the Off and On states at V0, V1, and V2. RESULTS: We included 667 patients with PD, mean age of 62.59 ± 8.91 years, 410 (60.2%) males, with a median HY stage of 2.00 (1.00; 4.00) at baseline. Over time, the most discriminating items were postural stability and body bradykinesia ("arise from chair" and "gait") in the Off state, right and left upper extremity bradykinesia ("finger tap", "hand movements" and "prono/supination") in the On state. Body bradykinesia and right-left finger tapping were the items with the largest effect size (0.93, 0.84, 0.83, respectively) to assess motor improvement after receiving antiparkinsonian medications over time. CONCLUSION: Under specific circumstances, selecting a few items of the UPDRS part III, including postural stability, body bradykinesia, and upper extremity bradykinesia, could be used to create a quick clinical judgment of motor status and improvement in PD.

Expanded and Independent Spanish Validation of the MDS-Non Motor Rating Scale.

Background: The Movement Disorder Society-sponsored Non-motor Rating Scale (MDS-NMS) assess the severity and disability caused by non-motor symptoms (NMS) in Parkinson's disease (PD). Objective: This article encapsulates the formal process for completing this program and the data on the first officially approved non-English version of the MDS-NMS (Spanish). Methods: The MDS-NMS translation program involves four steps: translation and back-translation; cognitive pre-testing to ensure that raters and patients understand the scale and are comfortable with its content; field testing of the finalized version; analysis of the factor structure of the tested version against the original English language version for the nine domains that could be analyzed in a confirmatory factor analysis. To be designated an "Official MDS translation," the confirmatory factor analysis Comparative Fit Index had to be ≥0.90. Results: The Spanish MDS-NMS was tested in 364 native-Spanish-speaking patients with PD from seven countries. For all subjects with fully computable data with all domains of the MDS-NMS (n = 349), the Comparative Fit Index was ≥0.90 for the nine eligible domains. Missing data were negligible and moderate floor effect (42.90%) was found for the Non-Motor Fluctuations subscale. Item homogeneity coefficient was adequate, and the correlation of the MDS-NMS domains with other measures for related constructs was acceptable (r s ≥ 0.50). Conclusions: The Spanish version of the MDS-NMS followed the IPMDS Translation Program protocol, reached the criterion to be designated as an Official Translation, and is now available on the MDS website.

A Low-Cost System Using a Big-Data Deep-Learning Framework for Assessing Physical Telerehabilitation: A Proof-of-Concept.

The consolidation of telerehabilitation for the treatment of many diseases over the last decades is a consequence of its cost-effective results and its ability to offer access to rehabilitation in remote areas. Telerehabilitation operates over a distance, so vulnerable patients are never exposed to unnecessary risks. Despite its low cost, the need for a professional to assess therapeutic exercises and proper corporal movements online should also be mentioned. The focus of this paper is on a telerehabilitation system for patients suffering from Parkinson's disease in remote villages and other less accessible locations. A full-stack is presented using big data frameworks that facilitate communication between the patient and the occupational therapist, the recording of each session, and real-time skeleton identification using artificial intelligence techniques. Big data technologies are used to process the numerous videos that are generated during the course of treating simultaneous patients. Moreover, the skeleton of each patient can be estimated using deep neural networks for automated evaluation of corporal exercises, which is of immense help to the therapists in charge of the treatment programs.

Assistive Devices for Personal Mobility in Parkinson's Disease: A Systematic Review of the Literature.

Background: Gait abnormalities are a hallmark of Parkinson's disease and contribute to falling risk. As disease symptoms progress, assistive devices are often prescribed. However, there are no guidelines for choosing appropriate ambulatory devices for gait impairment. Objective: To review the scientific evidence on assistive devices for gait impairment in Parkinson's disease. Methods: We performed a systematic literature review for articles relating to parkinsonian gait impairment and assistive devices. We assessed the studies' methodological quality and risk of bias using the PEDro scale. Results: Seventeen articles were reviewed. Four articles (23.53%) showed that canes and standard and two-wheeled walkers without visual cues decreased gait speed and stride length, with no significant effects on freezing of gait or falls. Instead, improvements were observed with the use of visual [seven articles (41.18%)] and auditory cues [three articles (17.65%)], including decreased number of freezing episodes and increased stride length. Conclusions: Although assistive devices seem to improve confidence, there is still limited information about the efficacy of assistive devices on gait parameters and functional disability in Parkinson's disease. Further, longitudinal, multicenter, randomized, blinded, and controlled studies using assistive devices in a free-living context are required to provide the best scientific evidence.

Accelerometer Cut-Points for Physical Activity Assessment in Adults with Mild to Moderate Huntington's Disease: A Cross-Sectional Multicentre Study.

Accelerometers can estimate the intensity, frequency, and duration of physical activity in healthy adults. Although thresholds to distinguish varying levels of activity intensity using the Actigraph wGT3X-B have been established for the general population, their accuracy for Huntington's disease (HD) is unknown. We aimed to define and cross-validate accelerometer cut-points for different walking speeds in adults with mild to moderate HD. A cross-sectional, multicentre, case-control, observational study was conducted with a convenience sample of 13 symptomatic ambulatory HD participants. The accelerometer was placed around the right hip, and a heart monitor was fitted around the chest to monitor heart rate variability. Participants walked on a treadmill at three speeds with light, moderate and vigorous intensities. Correlation and receiver operation curve analyses were performed between the accelerometer magnitude vector with relative oxygen and heart rate. Optimal cut-points for walking speeds of 3.2 km/h were ≤2852; 5.2 km/h: >2852 to ≤4117, and in increments until their maximum velocity: >4117. Our results support the application of the disease-specific cut-points for quantifying physical activity in patients with mild to moderate HD and promoting healthy lifestyle interventions.

The Impact of Dietary Intake and Physical Activity on Body Composition in Parkinson's Disease.

BACKGROUND: Skeletal muscle loss has been associated with declining physical performance and a negative prognostic effect on falls, disability, and mortality risk in Parkinson's disease. OBJECTIVES: We aimed to analyze the clinical correlates associated with skeletal muscle wasting in Parkinson's disease. METHODS: This was a cross-sectional, case-control, observational study. We collected information on dietary intake with a 24-hour recall questionnaire, body composition with bioelectrical impedance, motor severity with the Unified Parkinson's disease Rating Scale, and physical activity with the Global Physical Activity Questionnaire. We used multivariate linear regression analysis to analyze the sociodemographic and clinical correlates associated with skeletal muscle loss after adjusting for confounding variables. RESULTS: Forty-three patients with Parkinson's disease and 21 matched family members were included. Patients and family members had similar body composition, anthropometrics, and nutritional parameters. Advanced patients had similar nutrient intakes compared to patients with mild-to-moderate Parkinson's disease. In the multivariate linear regression analysis, female patients with low physical activity and low energy intake were more likely to have skeletal muscle loss. CONCLUSIONS: Skeletal muscle wasting is a complex multifactorial problem. Dietary strategies and physical exercise should be recommended, especially to females with Parkinson's disease, to prevent significant skeletal muscle wasting.

Videoconferencing Software Options for Telemedicine: A Review for Movement Disorder Neurologists.

Background: The use of telemedicine has increased to address the ongoing healthcare needs of patients with movement disorders. Objective: We aimed to describe the technical and basic security features of the most popular telemedicine videoconferencing software. Methods: We conducted a systematic review of articles/websites about "Telemedicine," "Cybersecurity," and "Videoconferencing software." Technical capabilities and basic security features were determined for each videoconferencing software. Results: Twenty-six videoconferencing software programs were reviewed, 13 (50.0%) were specifically designed for general healthcare, and 6/26 (23.0%) were compliant with European and US regulations. Overall technical and security information were found in 5/26 software (19.2%), including Microsoft Teams, Google Hangout, Coviu, Doxy.me, and Thera platforms. Conclusions: Detailed information about technical capabilities and data security of videoconferencing tools is not easily and openly retrievable. Our data serves as a guide for practitioners seeking to understand what features should be examined when choosing software and what options are available.

Adopting a multidisciplinary telemedicine intervention for fall prevention in Parkinson's disease. Protocol for a longitudinal, randomized clinical trial.

BACKGROUND: Approximately 40-70% of people with Parkinson's disease (PD) fall each year, causing decreased activity levels and quality of life. Current fall-prevention strategies include the use of pharmacological and non-pharmacological therapies. To increase the accessibility of this vulnerable population, we developed a multidisciplinary telemedicine program using an Information and Communication Technology (ICT) platform. We hypothesized that the risk for falling in PD would decrease among participants receiving a multidisciplinary telemedicine intervention program added to standard office-based neurological care. OBJECTIVE: To determine the feasibility and cost-effectiveness of a multidisciplinary telemedicine intervention to decrease the incidence of falls in patients with PD. METHODS: Ongoing, longitudinal, randomized, single-blinded, case-control, clinical trial. We will include 76 non-demented patients with idiopathic PD with a high risk of falling and limited access to multidisciplinary care. The intervention group (n = 38) will receive multidisciplinary remote care in addition to standard medical care, and the control group (n = 38) standard medical care only. Nutrition, sarcopenia and frailty status, motor, non-motor symptoms, health-related quality of life, caregiver burden, falls, balance and gait disturbances, direct and non-medical costs will be assessed using validated rating scales. RESULTS: This study will provide a cost-effectiveness assessment of multidisciplinary telemedicine intervention for fall reduction in PD, in addition to standard neurological medical care. CONCLUSION: In this challenging initiative, we will determine whether a multidisciplinary telemedicine intervention program can reduce falls, as an alternative intervention option for PD patients with restricted access to multidisciplinary care. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04694443.

Cómo estimar la composición corporal en la enfermedad de Huntington. Estudio transversal y observacional con bioimpedancia de múltiples frecuencias / How to estimate body composition in Huntington’s disease. A cross-sectional, observational study using multiple frequencies bioimpedance

Introducción La enfermedad de Huntington (EH) es un trastorno raro neurodegenerativo. La información fiable del estado nutricional, especialmente de la composición corporal, es crítica en clínica y en investigación. La facilidad de aplicación y portabilidad del análisis de la bioimpedancia de múltiples frecuencias (mfBIA) la convierten en una herramienta atractiva para medirla, pero se desconoce su precisión en la EH. Objetivo Evaluar la precisión del mfBIA frente a la absorciometría dual de rayos X (DEXA) en la EH. Pacientes y métodos Estudio transversal, observacional y unicéntrico. La EH se midió con la subescala motora de la escala unificada de valoración de la EH y con la capacidad funcional total. La composición corporal se valoró según la masa libre de grasa (MLG), la masa grasa (MG), el índice de masa libre de grasa (IMLG) y el índice de masa grasa (IMG). Se utilizó el coeficiente de correlación intraclase con intervalos de confianza al 95% y estimaciones de sesgo mediante gráficos de Bland-Altman. Resultados Se incluyó a 16 pacientes, siete hombres y nueve mujeres, con edad media de 58,5 (32-68) años, capacidad funcional total de 10 (3-13) y escala unificada de valoración de la EH de 31 (7-85). La fiabilidad era alta entre el mfBIA y la DEXA para el IMLG en hombres, 0,88 (intervalo de confianza al 95%: 0,17-0,98), y mujeres, 0,9 (intervalo de confianza al 95%: 0,61-0,98); y para el IMG en hombres, 0,97 (intervalo de confianza al 95%: 0,83-0,99), y mujeres, 0,91 (intervalo de confianza al 95%: 0,68-0,98). El mfBIA sobreestimó ligeramente la MLG, la MG, el IMG y el IMLG en los hombres, pero subestimó el IMLG en las mujeres. Conclusiones El mfBIA es un método fácil de usar, seguro, no invasivo y preciso para medir la composición corporal y el estado nutricional en pacientes con EH leve-moderada. (AU)

INTRODUCTION Huntington´s disease (HD) is a rare neurodegenerative disorder. Reliable information about nutritional status, especially body composition from individuals with HD is critical for clinical care and research. The ease of application and portability of multiple frequencies bioelectrical impedance analysis (mfBIA) make it an attractive tool for measuring body composition, but its accuracy in HD is unknown. AIM To evaluate the accuracy of mfBIA vs. Dual X-ray absorptiometry (DEXA) in HD. PATIENTS AND METHODS Cross-sectional, observational, and single-center study. HD severity was measured using motor subscale of the unified Huntington´s disease rating scale (m-UHDRS) and the total functional capacity (TFC). Body composition was measured in terms of fat-free mass (FFM), fat mass (FM), fat-free mass index (FFMI), and fat mass index (FMI). Using Bland-Altman plots, we analyzed reliability between DEXA and mfBIA using the Intraclass Correlation Coefficient with 95% confidence intervals (CI) and bias estimates for all. RESULTS We included 16 patients with HD, 7 men, and 9 women, median age of 58.5 (32;68) years, TFC: 10 (3;13), and m-UHDRS: 31 (7;85). The reliability between mfBIA and DEXA were high for FFMI in men: 0.88 (95% CI 0.17-0.98), and women: 0.90 (95% CI 0.61- 0.98); for FMI, men: 0.97 (95% CI 0.83-0.99), and women: 0.91 (95% CI 0.68-0.98). Compared to DEXA, mfBIA slightly overestimated FFM, FM, FMI and FFMI in men and underestimated FFMI in women. CONCLUSIONS mfBIA is an easy-to-use, safe, non-invasive, accurate method for measuring body composition and nutritional status in patients with mild-moderate HD. (AU)

Proyecto de investigación. Síndrome de piernas inquietas: seguimiento de una cohorte de población adulta en Burgos / Research project. Restless legs syndrome: follow-up of an adult population cohort in Burgos

Objetivos: estudiar la evolución de la cohorte a la largo de 11 años (2007-2018). Mientras que, los objetivos específicos han sido: analizar las diferencias entre casos y controles; conocer la tasa de mortalidad de la cohorte y su relación con el síndrome de piernas inquietas; estimar el impacto del síndrome de piernas inquietas en la calidad de vida relacionada con la salud y el sueño. Métodos: el estudio ha seguido una metodología observacional, retrospectiva y longitudinal de una cohorte de casos y controles, formada por 232 pacientes. En ambas evaluaciones se recogieron datos sociodemográficos, clínicos (se administraron las siguientes escalas: EuroQol, Índice de Comorbilidad de Charlson, escala de ansiedad y depresión de Goldberg, escala de somnolencia de Epworth y el cuestionario de Calidad de Vida del síndrome de piernas inquietas) y analíticos, y en la segunda evaluación también se recolectaron datos de actigrafía (actividad física y sueño). (AU)

Objective: to study the evolution of the cohort over 11 years (2007-2018). Considering that the specific objectives have been: to analyze the differences between cases and controls; know the mortality rate of the cohort and its relationship with restless legs syndrome; estimate the impact of restless legs syndrome on health and sleep- related quality of life. Methods: the study has followed an observational, retrospective and longitudinal methodology of a cohort of cases and controls, made up of 232 patients. Sociodemographic and clinical data were collected in both evaluations (the following scales were administered: EuroQol, Charlson's Comorbidity Index, Goldberg's anxiety and depression scale, Epworth's sleepiness scale and the Quality-of-Life questionnaire for restless legs syndrome) and analytical, and in the second evaluation actigraphy data (physical activity and sleep) were also collected. (AU)