Explanatory sequential mixed-methods approach to understand how registered dietitians implemented computed tomography skeletal muscle assessments in clinical practice.

BACKGROUND: There is a need to adopt valid techniques to assess skeletal muscle (SM) in clinical practice. SM can be precisely quantified from computed tomography (CT) images. This study describes how registered dietitians (RDs), trained to quantify SM from CT images, implemented this technique in clinical practice. METHODS: This was an explanatory sequential mixed-methods design with a quantitative and a qualitative phase. RDs collected data describing how they implemented CT SM assessments in clinical practice, followed by a focus group exploring barriers and enablers to using CT SM assessments. RESULTS: RDs (N = 4) completed 96 CT SM assessments, with most (94%, N = 90/96) taking <15 min to complete. RDs identified reduced muscle mass in 63% (N = 45/72) of men and 71% (N = 17/24) of women. RDs used results of CT SM assessments to increase protein composition of the diet/nutrition support, advocate for initiation or longer duration of nutrition support, coordinate nutrition care, and provide nutrition education to patients and other health service providers. The main barriers to implementing CT SM assessments in clinical practice related to cumbersome health system processes (ie, CT image acquisition) and challenges integrating CT image analysis software into the health system computing environment. CONCLUSION: Preliminary results suggest RDs found CT SM assessments positively contributed to their nutrition care practice, particularly in completing nutrition assessments and in planning, advocating for, and implementing nutrition interventions. Use of CT SM assessments in clinical practice requires innovative IT solutions and strategies to support skill development and use in clinical nutrition care.

Nutrition and immunity: perspectives on key issues and next steps.

In January 2022, a group of experts came together to discuss current perspectives and future directions in nutritional immunology as part of a symposium organized by the Canadian Nutrition Society. Objectives included (1) creating an understanding of the complex interplay between diet and the immune system from infants through to older adults, (2) illustrating the role of micronutrients that are vital to the immune system, (3) learning about current research comparing the impact of various dietary patterns and novel approaches to reduce inflammation, autoimmune conditions, allergies, and infections, and (4) discussing select dietary recommendations aimed at improving disease-specific immune function. The aims of this review are to summarize the symposium and to identify key areas of research that require additional exploration to better understand the dynamic relationship between nutrition and immune function.

Piloting a training program in computed tomography skeletal muscle assessment for registered dietitians.

BACKGROUND: Consensus definitions for disease-associated malnutrition and sarcopenia include reduced skeletal muscle mass as a diagnostic criterion. There is a need to develop and validate techniques to assess skeletal muscle in clinical practice. Skeletal muscle mass can be precisely quantified from computed tomography (CT) images. This pilot study aimed to train registered dietitians (RDs) to complete precise skeletal muscle measurements using CT. METHODS: Purposive sampling identified RDs employed in clinical areas in which CT scans are routinely performed. CT training included (1) a 3-Day training session focused on manual segmentation of skeletal muscle cross-sectional areas (cm2 , centimeter squared) from abdominal CT images at the third lumbar vertebra (L3), using sliceOmatic® software, and (2) a precision assessment to quantify the intraobserver and interobserver precision error of repeated skeletal muscle measurements (30 images in duplicate). Precision error is reported as the root mean standard deviation (cm2 ) and percent coefficient of variation (%CV), our primary performance indicator, was defined as a precision error of <2%. RESULTS: Five RDs completed CT training. RDs were from three clinical areas: cancer care (N = 1), surgery (N = 2), and critical care (N = 1). RDs' precision error was low and below the minimal acceptable error of <2%; intraobserver error was ≤1.8 cm2 (range, 0.8-1.8 cm2 ) or ≤1.5% (range, 0.8%-1.5%) and interobserver error was 1.2 cm2 or 1.1%. CONCLUSION: RDs can be trained to perform precise CT skeletal muscle measurements. Increasing capacity to assess skeletal muscle is a first step toward developing this technique for use in clinical practice.

Low bone mineral density in cystic fibrosis patients.

The goals of this practice-based, observational study were to describe the prevalence of low bone mineral density in patients at the Edmonton Cystic Fibrosis Centre, and to determine if body mass index and previous systemic corticosteroid use of over one month's duration were predictors of low bone mineral density. One hundred and thirteen pediatric and adult patients were studied. Bone mineral density of the lumbar spine region was measured using dual-energy X-ray absorptiometry. A total of 42.5% of patients had a bone mineral density Z-score of less than -1 standard deviation. Low bone mineral density was apparent at nine to 12 years of age, and was most evident in the 20- to 34-year-old group. All but one patient under age 20 with a Z-score of less than -2.5 also had a body mass index below the fifth percentile. A low Z-score was also associated with previous systemic corticosteroid use of over one month's duration (relative risk 1.81, p=0.003). We conclude that low bone mineral density is common in cystic fibrosis patients. Low body mass index percentiles may be used to identify children and adolescents at risk of low bone mineral density. These patients may benefit from aggressive nutrition therapy. Systemic corticosteroid use should be assessed carefully, as it is a risk factor for low bone mineral density.