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11 results on '"Rimbert, Agnès"'

2. Validity of Bioimpedance Equations to Evaluate Fat-Free Mass and Muscle Mass in Severely Malnourished Anorectic Patients

Author

Coëffier, Moise, Gâté, Mathilde, Rimbert, Agnès, Petit, André, Folope, Vanessa, Grigioni, Sébastien, Déchelotte, Pierre, Achamrah, Najate, douville, sabine, Service de nutrition [CHU Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU), Nutrition, inflammation et dysfonctionnement de l'axe intestin-cerveau (ADEN), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institute for Research and Innovation in Biomedicine (IRIB), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), UNIROUEN - UFR Santé (UNIROUEN UFR Santé), Normandie Université (NU)-Normandie Université (NU), Centre d'Investigation Clinique [CHU Rouen] (CIC Rouen), Hôpital Charles Nicolle [Rouen], Normandie Université (NU)-Normandie Université (NU)-CHU Rouen, Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Hôpital Charles Nicolle [Rouen]-CHU Rouen

Subjects
[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, body composition, dual X ray absorptiometry (DXA), Bioelectrical impedance analysis (BIA), lcsh:R, lcsh:Medicine, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, ComputingMilieux_MISCELLANEOUS, Article, anorexia nervosa, predictive equations
Abstract

Background: Bioelectrical impedance analysis (BIA) is a simple and rapid technique to measure body composition (BC). Validity of BIA in patients with low body mass index (BMI) remains controversial. We assessed the validity of several BIA equations to evaluate fat-free mass (FFM), fat mass (FM) and muscle mass in patients with anorexia nervosa (AN) by using dual X ray absorptiometry (DXA) as reference. Methods: Sixteen BIA equations developed for FFM and appendicular lean mass (ALM) were applied on electrical data measured by BIA in AN patients with BMI &lt, 16 kg/m&sup2, BIA and DXA were done the same day after overnight fasting. Results were compared with the Bland&ndash, Altman method, Pearson correlation and a Lin concordance test. Results: Data from 115 female AN patients (14.6 &plusmn, 1.2 kg/m&sup2, 32.3 &plusmn, 14.5 years) were included. FM and FFM assessed by DXA were, respectively, 4.2 &plusmn, 2.4 kg and 35.5 &plusmn, 3.8 kg. The best results were obtained with Sun&rsquo, s equation: respectively for FM and FFM, Bland Altman bias at 0.548 and 0.706 kg, Pearson correlation r at 0.86 and 0.86 and Lin concordance coefficient at 0.81 and 0.84. However, confidence intervals (CI) at 95% were high (&minus, 2.73&ndash, 3.83 kg for FM, &minus, 4.55&ndash, 3.13 kg for FFM). Other equations also showed high 95% CI. Accuracy was acceptable for Sun and Bedogni equations for FFM (approximately 66%) but very low for FM prediction considering all equations (&lt, 15%). Concerning ALM evaluated at 14.88 &plusmn, 2.04 kg by DXA, only Scafoglieri and Yoshida equations showed acceptable values: bias (&minus, 0.2 and 2.8%), Pearson r (0.89 and 0.86), Lin concordance coefficient (0.82 and 0.82) and accuracy (83.5 and 82.6%). Confidence intervals at 95% were high for both equations (&minus, 2.1&ndash, 2.0 for Scafoglieri equation and &minus, 1.6&ndash, 2.4 for Yoshida equation). Conclusion: In AN patients with BMI &lt, no BIA equation tested was adapted to evaluate BC at the individual level.

Published
2020

3. Plasma Peptide Concentrations and Peptide-Reactive Immunoglobulins in Patients with Eating Disorders at Inclusion in the French EDILS Cohort (Eating Disorders Inventory and Longitudinal Survey)

Author

Galmiche, Marie, primary, Lucas, Nicolas, additional, Déchelotte, Pierre, additional, Deroissart, Camille, additional, Le Solliec, Marie-Anne, additional, Rondeaux, Julie, additional, Azhar, Saida, additional, Grigioni, Sébastien, additional, Colange, Guillaume, additional, Delay, Julie, additional, Achamrah, Najate, additional, Folope, Vanessa, additional, Belmonte, Liliana, additional, Lamarre, Adèle, additional, Rimbert, Agnès, additional, Saillard, Tiphaine, additional, Petit, André, additional, Quillard, Muriel, additional, Coeffier, Moise, additional, Gillibert, André, additional, Lambert, Grégory, additional, Legrand, Romain, additional, and Tavolacci, Marie-Pierre, additional

Published
2020
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4. Validity of Predictive Equations for Resting Energy Expenditure Developed for Obese Patients: Impact of Body Composition Method

Author

Achamrah, Najate, Jésus, Pierre, Grigioni, Sébastien, Rimbert, Agnès, Petit, André, Déchelotte, Pierre, Folope, Vanessa, Coëffier, Moïse, Nutrition, inflammation et dysfonctionnement de l'axe intestin-cerveau (ADEN), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institute for Research and Innovation in Biomedicine (IRIB), Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), UNIROUEN - UFR Santé (UNIROUEN UFR Santé), Normandie Université (NU)-Normandie Université (NU), Centre d'Investigation Clinique [CHU Rouen] (CIC Rouen), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Charles Nicolle [Rouen]-CHU Rouen, Normandie Université (NU), Service de nutrition [CHU Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Neuroépidémiologie Tropicale (NET), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Service d'Hépato-Gastro-Entérologie et Nutrition [CHU Limoges], CHU Limoges, Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST FR CNRS 3503), Service de nutrition, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital de l'Hôtel-Dieu, Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM), Normandie Université (NU)-Normandie Université (NU)-CHU Rouen, Grelier, Elisabeth, and Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-CHU Limoges-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST)

Subjects
Adult, Male, Bioelectrical impedance analysis, Resting energy expenditure, Dual-energy X-ray absorptiometry, Reproducibility of Results, Calorimetry, Indirect, Middle Aged, Models, Biological, Body composition, Article, Decision Support Techniques, Absorptiometry, Photon, Predictive Value of Tests, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Electric Impedance, Humans, Female, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Basal Metabolism, Obesity, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, ComputingMilieux_MISCELLANEOUS, Retrospective Studies
Abstract

International audience; Predictive equations have been specifically developed for obese patients to estimate resting energy expenditure (REE). Body composition (BC) assessment is needed for some of these equations. We assessed the impact of BC methods on the accuracy of specific predictive equations developed in obese patients. REE was measured (mREE) by indirect calorimetry and BC assessed by bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA). mREE, percentages of prediction accuracy (±10% of mREE) were compared. Predictive equations were studied in 2588 obese patients. Mean mREE was 1788 ± 6.3 kcal/24 h. Only the Müller (BIA) and Harris & Benedict (HB) equations provided REE with no difference from mREE. The Huang, Müller, Horie-Waitzberg, and HB formulas provided a higher accurate prediction (>60% of cases). The use of BIA provided better predictions of REE than DXA for the Huang and Müller equations. Inversely, the Horie-Waitzberg and Lazzer formulas provided a higher accuracy using DXA. Accuracy decreased when applied to patients with BMI ≥ 40, except for the Horie-Waitzberg and Lazzer (DXA) formulas. Müller equations based on BIA provided a marked improvement of REE prediction accuracy than equations not based on BC. The interest of BC to improve REE predictive equations accuracy in obese patients should be confirmed.

Published
2018

5. Micronutrient Status in 153 Patients with Anorexia Nervosa

Author

Achamrah Najate, Coëffier Moïse, Rimbert Agnès, Charles Jocelyne, Folope Vanessa, Petit André, Déchelotte Pierre, Grigioni Sébastien, Nutrition, inflammation et dysfonctionnement de l'axe intestin-cerveau (ADEN), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de nutrition [CHU Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU), Institute for Research and Innovation in Biomedicine (IRIB), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Investigation Clinique [CHU Rouen] (CIC Rouen), Hôpital Charles Nicolle [Rouen]-CHU Rouen, and Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Adult, Adolescent, Anthropometry, Body Weight, Nutritional Status, lcsh:TX341-641, Body Height, Article, anorexia nervosa, Body Mass Index, Young Adult, C-Reactive Protein, Cross-Sectional Studies, micronutrients, Body Composition, Humans, Prealbumin, Female, lcsh:Nutrition. Foods and food supply, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, Serum Albumin, Retrospective Studies
Abstract

International audience; Micronutrient status in Anorexia Nervosa (AN) has been poorly documented and previous data are often contradictory. We aimed to assess micronutrient status in a large population of AN patients. The relationships between micronutrient status and body composition were also determined. Anthropometric, biochemical parameters and body composition data were collected at referral in 153 patients with AN (28.5 ± 11 years). At least one trace element deficit was observed in almost half of patients; the most frequent was selenium deficit (40% of patients). At least one vitamin deficit was observed in 45.7% of patients, mostly vitamin A and B9. Albumin, transthyretin and CRP were within normal range in most patients. No correlations were found between body composition and micronutrient status. Our study suggests that micronutrient status is often altered in AN patients, which may contribute to neuropsychiatric dysfunction. Monitoring of micronutrients and correction of deficits should be included in the routine care of AN patients

Published
2017

10. Validity of Predictive Equations for Resting Energy Expenditure Developed for Obese Patients: Impact of Body Composition Method.

Author

Achamrah N, Jésus P, Grigioni S, Rimbert A, Petit A, Déchelotte P, Folope V, and Coëffier M

Subjects
Absorptiometry, Photon, Adult, Calorimetry, Indirect, Electric Impedance, Female, Humans, Male, Middle Aged, Obesity diagnosis, Obesity physiopathology, Predictive Value of Tests, Reproducibility of Results, Retrospective Studies, Basal Metabolism, Body Composition, Decision Support Techniques, Models, Biological, Obesity metabolism
Abstract

Predictive equations have been specifically developed for obese patients to estimate resting energy expenditure (REE). Body composition (BC) assessment is needed for some of these equations. We assessed the impact of BC methods on the accuracy of specific predictive equations developed in obese patients. REE was measured (mREE) by indirect calorimetry and BC assessed by bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA). mREE, percentages of prediction accuracy (±10% of mREE) were compared. Predictive equations were studied in 2588 obese patients. Mean mREE was 1788 ± 6.3 kcal/24 h. Only the Müller (BIA) and Harris & Benedict (HB) equations provided REE with no difference from mREE. The Huang, Müller, Horie-Waitzberg, and HB formulas provided a higher accurate prediction (>60% of cases). The use of BIA provided better predictions of REE than DXA for the Huang and Müller equations. Inversely, the Horie-Waitzberg and Lazzer formulas provided a higher accuracy using DXA. Accuracy decreased when applied to patients with BMI ≥ 40, except for the Horie-Waitzberg and Lazzer (DXA) formulas. Müller equations based on BIA provided a marked improvement of REE prediction accuracy than equations not based on BC. The interest of BC to improve REE predictive equations accuracy in obese patients should be confirmed., Competing Interests: The authors declare no conflict of interest.

Published
2018
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11. Micronutrient Status in 153 Patients with Anorexia Nervosa.

Author

Achamrah N, Coëffier M, Rimbert A, Charles J, Folope V, Petit A, Déchelotte P, and Grigioni S

Subjects
Adolescent, Adult, Anthropometry, Body Composition, Body Height, Body Mass Index, Body Weight, C-Reactive Protein metabolism, Cross-Sectional Studies, Female, Humans, Micronutrients deficiency, Nutritional Status, Prealbumin metabolism, Retrospective Studies, Serum Albumin metabolism, Young Adult, Anorexia Nervosa blood, Micronutrients blood
Abstract

Micronutrient status in Anorexia Nervosa (AN) has been poorly documented and previous data are often contradictory. We aimed to assess micronutrient status in a large population of AN patients. The relationships between micronutrient status and body composition were also determined. Anthropometric, biochemical parameters and body composition data were collected at referral in 153 patients with AN (28.5 ± 11 years). At least one trace element deficit was observed in almost half of patients; the most frequent was selenium deficit (40% of patients). At least one vitamin deficit was observed in 45.7% of patients, mostly vitamin A and B9. Albumin, transthyretin and CRP were within normal range in most patients. No correlations were found between body composition and micronutrient status. Our study suggests that micronutrient status is often altered in AN patients, which may contribute to neuropsychiatric dysfunction. Monitoring of micronutrients and correction of deficits should be included in the routine care of AN patients.

Published
2017
Full Text
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