Lower-Limb Prosthetics and Orthotics: Clinical Conceptsis a comprehensive overview of lower-limb prosthetics and orthotics, covering normal and pathological gait, lower-limb biomechanics, clinical applications, as well as prosthetic and orthotic designs and components. Joan Edelstein and Alex Moroz have writtenLower-Limb Prosthetics and Orthotics with the clinician’s perspective in mind. Clinical management is incorporated throughout the text, including basic surgical concepts, postoperative management, preprosthetic care, and training in the use of devices. Additionally, this text incorporates unique features relevant to physicians such as prescription writing and prosthetic and orthotic construction and modification, as well as, the latest research regarding energy consumption and long-term utilization of prostheses. Chapters Include: Orthotics in neuromuscular diseases Orthotics in pediatrics Functional expectations Gait and activities training Transtibial and transfemoral prostheses and components Transtibial and transfemoral biomechanics, evaluation, and gait analysis Disarticulations and Bilateral Amputations With over 150 line drawings and photographs to supplement the text, Lower-Limb Prosthetics and Orthotics: Clinical Concepts is ideal for clinicians in the fields of physical medicine and rehabilitation, orthopedics, vascular surgery, physical therapy and occupational therapy.

Focusing on the lower extremities and spine, this extensively illustrated text presents a problem-solving approach to the evaluation and prescription of prosthetics and orthotics in physical therapy interventions. Prosthetics and Orthotics presents the latest developments in materials and fabrications, an in-depth analysis of gait deviations and interventions, conditions, psychosocial issues, biomechanics, and more. This invaluable resource also includes pediatric and geriatric perspectives, scientific literature supporting evidence-based practice, exercise and functional activities for the patient, case studies following the APTA's "Guide to Physical Therapist Practice", critical thinking questions, lab activities and practical applications.

Foreword from a Clinical Biomechanist, Applied Physiologist and Prosthetist teaching graduate students in Prosthetics & Orthotics. While there are many books on Biomechanics, arguably the quintessential science of limb prosthetics, none addresses the fundamental principles in sufficient detail and depth to be practically useful to the prosthetist, rehabilitation specialist or researcher. Dr. Pitkin’s monograph is an exemplary collection of theoretical principles from his research and o- ers, presented in its clinical and applied biomechanics form. The textbook provides an excellent overview of the many facets of lower limb prosthetic design and engineering for the ardent clinician researcher and student. The book delves into many of the basic concepts that are required knowledge for the clinician and the scientist to have as the foundation for their work. Dr. Pitkin has an e- quent manner in which he reflects on the history and literature to tell the storied evolution of prosthetic design . He takes the reader on a journey to consider his theories, which have substantive foundations to contemplate. By the end of chapter one, we have the basic h- tory and an appreciation for the rationale behind the “rolling joint ankle” with evidence to support his theoretical views.

This volume provides a fundamental approach to the clinical practice of providing quality care to patients needing prosthetics and/or orthotics. The text discusses the most common problems, devices and strategies available for optimal care. Topics covered include: Methods, Materials, and Mechanics; Biomechanics of the Lower Limb; Above- and Below-Knee Amputations and Prostheses; Hip Disarticulation and Amputation; Lower Limb Orthotics; Upper-Extremity Prosthetics and Orthotics; Juvenile Amputees; and Spinal Orthotics. For certified prosthetists and orthotists in clinical service.

A clinical focus with unfolding case studies, stimulating questions, and an outstanding art program of 550 photographs and line illustrations make important concepts easy to understand and apply. You’ll also find a discussion, unique to this text, of the pathology of what necessitates amputations and why you would choose one prosthetic/orthotic over another.

The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of a valid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formatting. The text also addresses common issues that make prediction models suboptimal, such as small sample sizes, exaggerated claims, and poor generalizability. The text is primarily intended for clinical epidemiologists and biostatisticians. Including many case studies and publicly available R code and data sets, the book is also appropriate as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. While practical in nature, the book also provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. Updates to this new and expanded edition include: • A discussion of Big Data and its implications for the design of prediction models • Machine learning issues • More simulations with missing ‘y’ values • Extended discussion on between-cohort heterogeneity • Description of ShinyApp • Updated LASSO illustration • New case studies