Rehabilitation After Urgent or Elective Orthopedic Surgery: The Role of Resilience in Elderly Patients.

Purpose: The aim of this investigation was to assess resilience within an elderly population during postacute rehabilitation for orthopedic surgery and to identify the role of resilience on rehabilitation outcomes by comparing hip fracture and elective patients (total knee and hip arthroplasty).

Design: We conducted a prospective study in an orthopedic rehabilitation department.

Methods: On admission and on discharge, 80 patients aged over 60 years underwent a multidimensional evaluation with the Resilience Scale, the Functional Independence Measure (FIM), the Multidimensional Prognostic Index, and the World Health Organization Quality of Life-BREF.

Ambiguity and uncertainty tolerance, need for cognition, and their association with stress. A study among Italian practicing physicians.

Unlabelled: Medical practice is inherently ambiguous and uncertain. The physicians' ability to tolerate ambiguity and uncertainty has been proved to have a great impact on clinical practice. The primary aim of the present study was to test the hypothesis that higher degree of physicians' ambiguity and uncertainty intolerance and higher need for cognitive closure will predict higher work stress.

Frailty and resilience in an older population. The role of resilience during rehabilitation after orthopedic surgery in geriatric patients with multiple comorbidities.

Hip fracture is common in the elderly and it is usually associated with comorbidities and physiological changes which may have an impact on functioning and quality of life. The concept of resilience may explain why this impact varies among patients. The aim of this open, prospective cohort study was to explore the relationships between resilience, frailty and quality of life in orthopedic rehabilitation patients, and also to assess whether these factors might affect rehabilitation outcome.

Discrete stochastic model for the generation of axonal trees.

In this work we propose a 2D discrete stochastic model for the simulation of axonal biogenesis. The model is defined by a third order Markov Chain. The model considers two main processes: the growth process that models the elongation and shape of the neurites and the bifurcation process that models the generation of branches.

From Curves to Trees: A Tree-like Shapes Distance Using the Elastic Shape Analysis Framework.

Trees are a special type of graph that can be found in various disciplines. In the field of biomedical imaging, trees have been widely studied as they can be used to describe structures such as neurons, blood vessels and lung airways. It has been shown that the morphological characteristics of these structures can provide information on their function aiding the characterization of pathological states.