Mariangela Rondanelli1, Jacopo Talluri2, Gabriella Peroni3, Chiara Donelli1, Fabio Guerriero4, Krizia Ferrini5, Emilia Riggi6, Elisabetta Sauta6, Simone Perna1, Davide Guido7. 1. University of Pavia, Department of Public Health, Experimental and Forensic Medicine, Section of Human Nutrition, Endocrinology and Nutrition Unit, Azienda di Servizi alla Persona, Pavia, Italy. 2. Research and Clinical Investigation Department, Akern, Pontassieve, Italy. 3. University of Pavia, Department of Public Health, Experimental and Forensic Medicine, Section of Human Nutrition, Endocrinology and Nutrition Unit, Azienda di Servizi alla Persona, Pavia, Italy. Electronic address: gabriella.peroni01@universitadipavia.it. 4. Azienda di Servizi alla Persona, Pavia, Italy. 5. Istituto Europeo di Oncologia, Department of Experimental Oncology, Milan, Italy; University of Pavia, Department of Brain and Behavioral Sciences, Medical and Genomic Statistics Unit, Pavia, Italy. 6. University of Pavia, Department of Brain and Behavioral Sciences, Medical and Genomic Statistics Unit, Pavia, Italy. 7. University of Pavia, Department of Brain and Behavioral Sciences, Medical and Genomic Statistics Unit, Pavia, Italy; University of Pavia, Department of Public Health, Experimental and Forensic Medicine, Biostatistics and Clinical Epidemiology Unit, Pavia, Italy.
Abstract
BACKGROUND & AIM: The aim of this study was to establish the effectiveness of Body Cell Mass Index (BCMI) as a prognostic index of (mal)nutrition, inflammation and muscle mass status in the elderly. METHODS: A cross-sectional observational study has been conducted on 114 elderly patients (80 women and 34 men), with mean age equal to 81.07 ± 6.18 years. We performed a multivariate regression model by Structural Equation Modelling (SEM) framework. We detected the effects over a Mini Nutritional Assessment (MNA) stratification, by performing a multi-group multivariate regression model (via SEM) in two MNA nutritional strata, less and bigger (or equal) than 17. RESULTS: BCMI had a significant effect on albumin (β = +0.062, P = 0.001), adjusting for the other predictors of the model as Body Mass Index (BMI), age, sex, fat mass and cognitive condition. An analogous result is maintained in MNA<17 stratum. BMI has confirmed to be a solid prognostic factor for both free fat mass (FFM) (β = +0.480, P < 0.001) and Skeletal Muscle Index (SMI) (β = +0.265, P < 0.001), assessed by DXA. BCMI also returned suggestive evidences (0.05 < P < 0.10) for both the effect on FFM and on SMI in overall sample. CONCLUSIONS: The main result of this study is that the BCMI, compared to BMI, proved to be significantly related to an important marker as albumin in geriatric population. Then, assessing the BCMI could be a valuable, inexpensive, easy to perform tool to investigate the inflammation status of elderly patients.
BACKGROUND & AIM: The aim of this study was to establish the effectiveness of Body Cell Mass Index (BCMI) as a prognostic index of (mal)nutrition, inflammation and muscle mass status in the elderly. METHODS: A cross-sectional observational study has been conducted on 114 elderly patients (80 women and 34 men), with mean age equal to 81.07 ± 6.18 years. We performed a multivariate regression model by Structural Equation Modelling (SEM) framework. We detected the effects over a Mini Nutritional Assessment (MNA) stratification, by performing a multi-group multivariate regression model (via SEM) in two MNA nutritional strata, less and bigger (or equal) than 17. RESULTS:BCMI had a significant effect on albumin (β = +0.062, P = 0.001), adjusting for the other predictors of the model as Body Mass Index (BMI), age, sex, fat mass and cognitive condition. An analogous result is maintained in MNA<17 stratum. BMI has confirmed to be a solid prognostic factor for both free fat mass (FFM) (β = +0.480, P < 0.001) and Skeletal Muscle Index (SMI) (β = +0.265, P < 0.001), assessed by DXA. BCMI also returned suggestive evidences (0.05 < P < 0.10) for both the effect on FFM and on SMI in overall sample. CONCLUSIONS: The main result of this study is that the BCMI, compared to BMI, proved to be significantly related to an important marker as albumin in geriatric population. Then, assessing the BCMI could be a valuable, inexpensive, easy to perform tool to investigate the inflammation status of elderly patients.
Authors: Reshma Aziz Merchant; Santhosh Seetharaman; Lydia Au; Michael Wai Kit Wong; Beatrix Ling Ling Wong; Li Feng Tan; Matthew Zhixuan Chen; Shu Ee Ng; John Tshon Yit Soong; Richard Jor Yeong Hui; Sing Cheer Kwek; John E Morley Journal: Front Endocrinol (Lausanne) Date: 2021-12-24 Impact factor: 5.555