School of Nursing, Midwifery and Social Work Malnutrition or poor body composition, particularly sarcopenia, may have a negative impact on clinical outcome.

Slides:



Advertisements
Similar presentations
Exercise Physiology McArdle, Katch, & Katch – Ch. 16
Advertisements

Muscle mass and strength  Muscle mass is the primary determinant of strength –Obese individuals have higher lean mass therefore are stronger than thinner.
Integrating nutritional support into the care pathway for colorectal cancer patients Dr Sorrel Burden Lead Dietitian & Macmillan/NIHR Fellow.
Giggins OM, Coughlan GF, Caulfield BM, Crowe LM Stim XDP Research Group, Institute for Sport and Health, University College Dublin, Dublin 4, Ireland.
Lean Body Mass Assessment: Interpretations of Computed Tomography
Nutrition Screening and Assessment in Critically ill patients
Nutrition and Dietetics in the Normal Patient
Aging and Obesity Claire Zizza Tenth Annual Diabetes and Obesity Conference April 19, 2011.
TEMPLATE DESIGN © Prevalence of educational qualifications and access to information technologies in patients with acute.
Anthropometrics in Obesity Robert Kushner, MD Northwestern University Feinberg School of Medicine.
Author: Rendes Andrei Co-author: Mihalcea Iordan Alexandru Coordinators: Conf. dr. Marginean Oana, dr. Chincesan Mihaela, dr. Florian Gabriela.
Michelle Koford Summer Topics Discussed Background Purpose Research Questions Methods Participants Procedures Instrumentation Analysis.
Whole Body Pethysmography H Measures body volume by air displacement –actually measures pressure changes with injection of known volume of air into closed.
 A single bioelectrical impedance analysis (BIA) equation was validated for the prediction of fat mass (FM) against dual energy X-ray absorptiometry (DXA)
Basal Metabolic Rate is the minimal caloric requirement needed to sustain life in a resting individual. This is the amount of energy your body would burn.
Good Fat vs Bad Fat and Cancer Prevention
Nicolaas E Deutz, MD, PhD. Professor, Ponder Endowed Chair
P. Szulc, F. Duboeuf, R. Chapurlat INSERM UMR1033, Université de Lyon, Lyon, France High subcutaneous fat measured by DXA is associated with low grip strength.
objective By the end of this lesson, you will be able to :  Identify the accurate ways to measure and record height and weight.
An observation of gestational weight gain in obese pregnancies Dr Julie Abayomi.
RECTAL CARCINOMA AND PREOPERATIVE MRI: USING A NATIONAL DATASET FOR REGIONAL AUDIT South West Cancer Intelligence Service J Weeks
Validation of Methods of Estimating % Body Fat. How do you validate these techniques? There can be no direct validation – Measure subjects with technique.
Lacto-ovo vegetarian group
Validity of bioelectrical impedance analysis in estimation of fat-free mass in colorectal cancer patients  Hanna Ræder, Ane Sørlie Kværner, Christine.
Oxygen Desaturation Index (ODI) Obstructive Apnoea (OA)
Obesity – the elephant in the room in cancer communities
Comparison of body composition, muscle force and physical performances between faller and non-faller people included in a cohort of 100 community dwelling.
Body composition and Practical Nutritional Assessment
Table 2. Changes in body composition, energy and water intake
UNDERSTANDING THE BODY COMPOSITION: A Fundamental Concept
The University of Alabama, Tuscaloosa, AL
The University of Alabama, Tuscaloosa, AL
The University of Alabama, Tuscaloosa, AL
Postoperative Weight Loss and its Impact on Outcomes in Patients with Adolescent Idiopathic Scoliosis after Spinal Fusion Roslyn Tarrant1,2, Mary Nugent3,
Updates on Policy #38 Addressing Subjects with Non-Average Heights and Weights 2017 SWOG Fall Meeting BOG Siu Fun Wong, PharmD Co-Chair, Pharmaceutical.
Estimating Glomerular Filtration Rate In Overweight and Obese Malaysian Subjects Nor-Hayati S1, Soehardy Z1, Norella Kong CT1, Rohana AG2, Nor-Azmi K2,
Body Composition.
Compassionate People World Class Care
Chapter 7: Improving Body Composition
Faculty of Health, Medicine and Life Sciences
Presented by: Abhishek Bandyopadhyay Research Fellow
Answer the following questions:
Chad Burk, MD Radiology, PGY-4 Loma Linda University
(A) Simulation of propofol effect-site concentrations (Ce) that result from a bolus (2 mg/kg) and 1-hour infusion (150 mcg/kg/min) for a 53-year-old 155-cm.
Frailty and its association with conventional risk factors for CAD among elderly patients with acute coronary syndrome.
Comparison of the study findings: Male & female
The University of Alabama, Tuscaloosa, AL
The University of Alabama, Tuscaloosa, AL
Introduction & Purpose Practical Applications
Relationship between Physical Activities with Body Mass Index (BMI), among first year and second year medical students of Faculty of Medicine Session.
Correlation Between the International Consensus Definition of the Cancer Anorexia- Cachexia Syndrome (CACS) and Patient-Centered Outcomes in Advanced Non-Small.
Recommendations for Body Composition, Exercise, and Caloric Intake
Cancer Cachexia in GI Malignancies
Table 2. Demographic data from participants
Nutritional assessment in hospitalized patients
Table 1. General Characteristics of the Study Subjects
Volume 70, Issue 1, Pages (January 2019)
Radiological Society of North America
A.M. CLARKE-CORNWELL1, P.A. COOK1 and M.H.GRANAT1
Body weight control and energy expenditure
Xueli Zhang, PhD, Yamin Liu, PhD, Hua Shao, MD, PhD, Xiao Zheng, PhD 
Comparison between groups
BASAL METABOLIC RATE Presented by, Ajith K K Asst. Prof
The correlation between visceral fat area (VFA) and body mass index (BMI) in patients with type 2 diabetes. The correlation between visceral fat area (VFA)
Efficacy of guselkumab in subpopulations of patients with moderate-to-severe plaque psoriasis: A pooled analysis of the Phase 3 VOYAGE 1 and VOYAGE.
A and B, Computed tomography (CT) of the chest prior to cabozantinib therapy demonstrated a dominant mass in the left upper lobe (B, black arrow), measuring.
This figure provides a graphical overview of the data collection process as it was designed for the EFFECTOR study. BIA, bioelectrical impedance analysis;
Body Composition and All-Cause Mortality in Hemodialysis Patients
The impact of body mass composition features on the outcome of HCC patients BACKGROUND Trends in hepatocellular carcinoma (HCC) have increased over recent.
© The Author(s) Published by Science and Education Publishing.
Presentation transcript:

School of Nursing, Midwifery and Social Work Malnutrition or poor body composition, particularly sarcopenia, may have a negative impact on clinical outcome [1]. Currently, there are minimal data on the roles of computed tomography (CT) & bioelectrical impedance analysis (BIA) in determining body composition, particularly in those with colorectal cancer. AIM: To measure fat free mass using both CT & BIA to identify sarcopenia or cachexia. Measuring fat free mass in people with colorectal cancer & weight loss. 1 School of Nursing Midwifery and Social Work, University of Manchester, UK 2 Salford Royal Foundation Trust, Manchester, UK Debra J. Gibson * 1, Sorrel Burden 1, Chris Todd 1, Boyd J. Strauss 2, Simon Lal 2 Included 43 patients (62.8% male); mean weight loss 7.8%(SD 6.2). 19 patients had pre op C-reactive protein (CRPs) recorded and 10 of these had raised levels. BIA identified a higher incidence of sarcopenia but a lower incidence of cachexia in comparison to CT. (Tables 1 & 2) BIA appears to underestimate fat free mass, compared to CT, and demonstrates increased sarcopenia incidence. Muscle area from CT shows a lower incidence of sarcopenia, compared to BIA, but identifies more individuals as cachectic. CT scans may offer a more reliable means of assessing body composition in colorectal cancer patients compared to BIA. Conclusion Body composition data Introduction Results Table 2. Identification of sarcopenia & cachexia from BIA and CT BIACTICC Sarcopenia n(%) [male : female] 22 (51.2%) a 15 (34.9%) b r =0.490 (p=0.016) [13 : 9][15 : 0] Cachexia n(%) [male : female] 2 (10.53%) c 3 (15.79%) c r =0.877 (p<0.001) [2 : 0][3 : 0] a Sarcopenia definition for BIA: sex-specific cut-offs of ≤17 kg/m 2 for males & ≤15 kg/m 2 for females, determined by Vermeeren [2] & endorsed by ESPEN [3] b Sarcopenia definition for CT: sex-specific cut-offs of <55cm 2 /m 2 for males & <39cm 2 /m 2 for females, determined by Mourtzakis [4] & endorsed by ESPEN [3] C Cachexia definition: Identified as sarcopenic with a weight loss of >2% and systemic inflammation (raised CRPs) [5] Method Preoperative weight losing people with colorectal cancer were recruited. Ethical approval was attained. Body composition was measured using single frequency BIA (Bodystat 1500 and CT slices (L3) analysed with SliceOmatic software (v5 Tomovision). BIA and CT were assessed for level of agreement in determination of sarcopenia and cachexia incidence. [1] Prado et al. Lancet Oncology, 2008;9(7). [2] Vermeeren et al. Respiratory medicine, 2006;100. [3] Biolo et al. Clinical Nutrition, 2014;33. [4] Mourtzakis et al. Applied Physiology, Nutrition and Medicine, 2008;33(5). [5] Fearon et al. Lancet Oncology, 2011;12. No. LB031- SUN Body composition via CT scan Table 1. Body composition measurements from BIA and CT MeanStandard deviation BIA fat free mass (kg) BIA fat free mass index (kg/ht 2 ) CT scan muscle area (cm 2 ) CT scan muscle area index (cm 2 /ht 2 )