Skeletal muscle-focused guideline development: hierarchical model incorporating muscle form, function, and clinical outcomes

Author:

Heymsfield Steven B.1ORCID,Prado Carla M.2,Gonzalez Maria Cristina3

Affiliation:

1. Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA

2. Department of Agricultural, Food & Nutritional Science, Human Nutrition Research Unit, University of Alberta, Edmonton, AB, Canada

3. FEDERAL University of Pelotas, Post-graduate Program in Nutrition and Food, Pelotas, Brazil

Abstract

Sarcopenia, sarcopenic obesity, malnutrition, and cachexia clinical guidelines were created by expert consensus over the past decade. These pathological states all share in common deficits in skeletal muscle mass, and in some cases muscle function, which adversely impact patient outcomes. Early identification is key as some detrimental outcomes are potentially preventable with available treatments. The four guidelines share common design features: patients suspected of having the condition are first screened with a focused clinical history; if positive, the next step is evaluation with either a measure of body “form” (e.g., mass, shape, and composition) or function (e.g., mechanical, endurance, and metabolic); combined form and functional criteria are also recognized. The form and functional “gateway” nodes establish whether or not to proceed with further evaluations and treatments. Intensive discussions among experts focus on selection of these gateway nodes and the final choice is made when consensus is reached. Form and functional measures are often treated as equivalent alternatives when framed in the context of “outcomes” for which they are intended to predict. Here we adapt a classic biological concept stating that “function follows form” to show that pathophysiological links are present between these two different muscle qualities and clinical outcomes. We argue that a hierarchy exists such that outcomes closely follow functions that, in turn, follow form…the OFF rule. The OFF rule explains why functional measures often show stronger associations with outcomes than those quantifying form, helps to frame debates on how to structure the gateway nodes used to identify patients for further evaluation and treatment, and sets out a pathophysiological structure for developing future outcome prediction models.

Publisher

Canadian Science Publishing

Subject

Physiology (medical),Nutrition and Dietetics,Physiology,General Medicine,Endocrinology, Diabetes and Metabolism

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