SPRI | Failure To Thrive And Malnutrition: A Practical, Evidence-Based Clinical Guide (2023 EN)

Author: Joyee Goswami Vachani (Editor)
Full Title: Failure To Thrive And Malnutrition: A Practical, Evidence-Based Clinical Guide
Publisher: Springer; 1st ed. 2023 edition (January 2, 2023)
Year: 2023
ISBN-13: 9783031141645 (978-3-031-14164-5), 9783031141638 (978-3-031-14163-8)
ISBN-10: 3031141644, 3031141636
Pages: 172
Language: English
Genre: Medicine: Nutrition
File type: EPUB (True), PDF (True)
Quality: 10/10
Price: 80.24 €


Failure to Thrive (FTT) is a multifactorial illness requiring the systematic application of evidence in conjunction with a multidisciplinary team-based approach. Evidence suggests most cases of FTT can be diagnosed using key elements of the patient history and physical examination including appropriate growth assessment, and that laboratory testing is usually unhelpful in determining an etiology. Despite this, there is wide variation in the definition, evaluation, treatment, costs, and outcomes of FTT patients, with subsequent burdens on the healthcare system. A suggested approach to the differential diagnosis and management of FTT is to review calories – inadequate caloric intake, excessive calorie losses, and/or increased caloric intake (i.e. increased metabolic demand) – while acknowledging the available resources along the continuum of patient care. Implementing evidence-based practice for FTT provides improvement opportunities for providers and potentially has significant impact on the healthcare system.

This book is designed to present a practical and concise handbook on the diagnosis and management of failure to thrive (FTT)/ malnutrition for quick reference by trainees and practitioners by using case examples and available evidence in the current literature. This book is divided into 7 chapters in a logical progression of defining, diagnosing, and managing FTT with cases in each chapter to further illustrate evidence-based care.


Overview:
✓ First book of its kind on this topic with clinical cases
✓ Use of cases to mirror more real-life examples
✓ Provide handy, algorithms to use in practice

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