Comprehensive diagnosis in patients with morbid obesity; candidates for bariatric surgery and suggestions for preoperative treatment

Indexación: Scopus; Scielo.Objetivo El propósito del estudio fue analizar y describir las características psicológicas, metabólicas, antropométricas y de condición física de obesos candidatos a cirugía bariátrica, para determinar la intervención preoperatoria. Material y Métodos La población está conformada por 24 obesos candidatos a cirugía bariátrica; cinco hombres y 19 mujeres entre 21 y 60 años. La muestra es de tipo no-probabilística, con sujetos elegidos de manera no aleatoria por conveniencia y voluntarios. Se evaluaron variables psicológicas, antropométricas, metabólicas y de condición física. Resultados La edad promedio de los participantes corresponde a 41,0 años. En el estudio se evidencian bajos niveles en alegría empática. Los síntomas ansiosos presentaron un nivel medio: El 62,5 % presentó depresión mínima, el 29,1 % depresión leve, y el 8,4 % depresión modera. El peso corporal tuvo un promedio de 99,1 kilogramos, la talla de 1,6 metros, el Índice de Masa Coporal (IMC) de 39,3, el porcentaje de masa grasa un promedio de 41,1 y el contorno cintura de 118,0 centímetros. Con respecto a los valores plasmáticos (mg/dl) se obtuvo: colesterol total 192,9, colesterol LDL 120,0, colesterol HDL 43,3, triglicéridos 182,3, Glicemia a 105,9; y la distancia recorrida en seis minutos fue de 511,9 metros. Conclusiones Los resultados aportan información para determinar mejores estrategias de intervención preoperatorias, cambiando así los estilos de vida de los pacientes; logrando que la pérdida de peso post operatoria se sostenga en el tiempo.Objective The purpose of the study was to analyze and describe the psychological, metabolic, anthropometric and physical condition of obese candidates for bariatric surgery. This is in order to determine the preoperative intervention. Material and Methods The population is made up of 24 obese candidates for bariatric surgery; five men and 19 women between 21 and 60 years old. The sample type is non-probabilistic, with non-randomised subjects chosen conveniently and volunteers. Psychological, anthropometric, metabolic and physical condition variables were evaluated. Results The average age of participants corresponds to 41.0 years old. Low levels of empathic joy were observed. Anxiety symptoms presented an intermediate level: 62,5 % presented minimal depression, 29,1 % presented slight depression, and 8,4 % presented considerable depression. Body weight averaged 99.1 kg, height 1.6 meters, Body Mass Index (BMI) 39.3, the percentage of fat mass and contour waist averaged 41.1 118.0 centimeters in that order. With regards to plasma levels (mg / dl), the following were obtained: total cholesterol 192.9, 120.0 LDL cholesterol, HDL cholesterol, 43.3, 182.3 triglycerides, glycerin to 105.9; and distance covered in 6 minutes was 511.9 meters. Conclusions The results provide information to determine best Preoperative intervention strategies; changing the lifestyles of patients, keeping the postoperative weight.http://www.scielo.org.co/pdf/rsap/v19n4/0124-0064-rsap-19-04-00527.pd

The combined effect of cranial-nerve non-invasive neuromodulation with high-intensity physiotherapy on gait and balance in a patient with cerebellar degeneration: a case report.

Background: Cranial-nerve non-invasive neuromodulation (CN-NINM) using the portable neuromodulation stimulator (PoNS™) device has been proposed as a novel adjuvant intervention to improve efficacy of gait and balance. This device modulates input and output signals during motor tasks which prompts neuroplastic changes. In this study, we investigated the efficacy of physiotherapy using the PoNS™ in a case with cerebellar degeneration. Case presentation: The PoNS™ was used during a high-intensity physiotherapy programme delivered over 2 weeks (2 × 1.5 h sessions daily). Clinical and instrumented gait and balance tests were applied pre- and post-intervention. Results: The patient improved in all tests without any adverse effects. Conclusion: This study showed the efficacy and feasibility of combined high-intensity physiotherapy and CN-NINM for gait and balance rehabilitation. Further studies should explore CN-NINM effects in larger and more diverse samples of neurological patients

Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis

Subtle gait and balance dysfunction is a precursor to loss of mobility in multiple sclerosis (MS). Biomechanical assessments using advanced gait and balance analysis technologies can identify these subtle changes and could be used to predict mobility loss early in the disease. This update critically evaluates advanced gait and balance analysis technologies and their applicability to identifying early lower limb dysfunction in people with MS. Non-wearable (motion capture systems, force platforms, and sensor-embedded walkways) and wearable (pressure and inertial sensors) biomechanical analysis systems have been developed to provide quantitative gait and balance assessments. Non-wearable systems are highly accurate, reliable and provide detailed outcomes, but require cumbersome and expensive equipment. Wearable systems provide less detail but can be used in community settings and can provide real-time feedback to patients and clinicians. Biomechanical analysis using advanced gait and balance analysis technologies can identify changes in gait and balance in early MS and consequently have the potential to significantly improve monitoring of mobility changes in MS

Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis

Subtle gait and balance dysfunction is a precursor to loss of mobility in multiple sclerosis (MS). Biomechanical assessments using advanced gait and balance analysis technologies can identify these subtle changes and could be used to predict mobility loss early in the disease. This update critically evaluates advanced gait and balance analysis technologies and their applicability to identifying early lower limb dysfunction in people with MS. Non-wearable (motion capture systems, force platforms, and sensor-embedded walkways) and wearable (pressure and inertial sensors) biomechanical analysis systems have been developed to provide quantitative gait and balance assessments. Non-wearable systems are highly accurate, reliable and provide detailed outcomes, but require cumbersome and expensive equipment. Wearable systems provide less detail but can be used in community settings and can provide real-time feedback to patients and clinicians. Biomechanical analysis using advanced gait and balance analysis technologies can identify changes in gait and balance in early MS and consequently have the potential to significantly improve monitoring of mobility changes in MS