Phase angle and rectus femoris cross-sectional area as predictors of severe malnutrition and their relationship with complications in outpatients with post-critical SARS-CoV2 disease.

Background and aims: The diagnosis of malnutrition in post-critical COVID-19 patients is challenging as a result of the high prevalence of obesity, as well as the variability and previously reported inconsistencies across currently available assessment methods. Bioelectrical impedance vector analysis (BIVA) with phase angle (PhA) and nutritional ultrasound (NU®) are emerging techniques that have been proven successful in assessing body composition with high precision in previous studies. Our study aims to determine the performance and usefulness of PhA and rectus femoris cross-sectional area (RF-CSA) measurements in assessing body composition as part of the full routine morphofunctional assessment used in the clinical setting, as well as their capacity to predict severe malnutrition and to assess complications and aggressive therapy requirements during recent intensive care unit (ICU) admission, in a cohort of post-critically ill COVID-19 outpatients. Methods: This prospective observational study included 75 post-critical outpatients who recovered from severe COVID-19 pneumonia after requiring ICU admission. Correlations between all the morphofunctional parameters, complications, and aggressive therapy requirements during admission were analyzed. Multivariate logistic regression analysis and ROC curves were provided to determine the performance of NU® and PhA to predict severe malnutrition. Differences in complications and aggressive therapy requirements using the cutoff points obtained were analyzed. Results: In total, 54.7% of patients were classified by Subjective Global Assessment (SGA) as SGA-B and 45.3% as SGA-C, while 78.7% met the Global Leadership Initiative of Malnutrition (GLIM) criteria. PhA correlates positively with body cell mass/height (BCM/h) (r = 0.74), skeletal muscle index (SMI) (r = 0.29), RF-CSA (r = 0.22), RF-Y axis (r = 0.42), and handgrip strength (HGS) assessed using dynamometry (r = 0.42) and the Barthel scale (r = 0.29) and negatively with ICU stay (r = -0.48), total hospital stay (r = -0.57), need for invasive mechanical ventilation (IMV) (r = -0.39), days of IMV (r = -0.41), need for tracheostomy (r = -0.51), and number of prone maneuvers (r = -0.20). RF-CSA correlates positively with BCM/h (r = 0.41), SMI (r = 0.58), RF-Y axis (r = 0.69), and HGS assessed using dynamometry (r = 0.50) and the Barthel scale (r = 0.15) and negatively with total hospital stay (r = -0.22) and need for IMV (r = -0.28). Cutoff points of PhA < 5.4° and standardized phase angle (SPhA) < -0.79 showed good capacity to predict severe malnutrition according to SGA and revealed differences in ICU stay, total hospital stay, number of prone maneuvers, need for IMV, and need for rehabilitation, with statistical significance (p < 0.05). An RF-CSA/h < 2.52 cm2/m (for men) and <2.21 cm2/m (for women) also showed good performance in predicting severe malnutrition and revealed differences with statistical significance (p < 0.05) in ICU stay and total hospital stay. Conclusion: More than 75% of the post-critical COVID-19 survivors had malnutrition, and approximately half were obese. PhA, SPhA, RF-CSA, and RF-CSA/h, when applied to the assessment of body composition in post-critical COVID-19 patients, showed moderate-to-high correlation with other morphofunctional parameters and good performance to predict severe malnutrition and to assess complications and aggressive therapy requirements during ICU admission. Besides being readily available methods, BIVA and NU® can help improve the morphofunctional assessment of malnutrition in post-critical COVID-19 survivors; however, more studies are needed to assess the performance of these methods in other populations.

Nutritional ultrasound®: Conceptualisation, technical considerations and standardisation.

Nutritional ultrasound® is a new concept that uses ultrasound to assess body composition. It is composed of the evaluation of fat-free mass and fat mass. It is an emerging, economical, portable, non-invasive technique that evaluates the musculoskeletal area with linear, broadband, multifrequency probes, with a depth field of 20-100mm. It quantifies muscle modifications in malnutrition and provides information on functional changes (echogenicity). Although there are no validated specific cut-off points, the anterior rectum area of the quadriceps can be used as a criterion for malnutrition. The distribution of adipose tissue provides information on the energy reserve and the inflammatory pattern. It is important to integrate nutritional ultrasound® measures in clinical practice adapted to different settings and pathologies. It is necessary to establish training plans in nutritional ultrasound® for use by Endocrinology and Nutrition Specialists, with the aim of improving the diagnosis and treatment of their patients.

Adipokines and metabolic syndrome risk factors in women with previous gestational diabetes mellitus.

BACKGROUND: Gestational diabetes mellitus (GDM) has been recognized as a significant risk factor for metabolic syndrome and CVD. The aim of the study was to evaluate the relationships between levels of cytokines, components of metabolic syndrome and cardiovascular risk markers in women with previous gestational diabetes. METHODS: Women (n = 41) with gestational diabetes background (cases) and 21 healthy women (controls) in the postpartum period were enrolled. Demographic and clinical data, lipid and carbohydrate metabolism and uric acid and adipokine levels (TNF-α, IL-6, leptin and adiponectin) were compared and their relationships analysed. Metabolic syndrome prevalence was calculated by WHO and NCEP-ATPIII definitions. RESULTS: There were significant differences between cases and controls: body mass index (kg/m(2) ) 27.4 ± 5.6 vs 23.9 ± 3.6 (p = 0.013), waist circumference (cm) 85.2 ± 12.9 vs 77.5 ± 9.0 (p = 0.017), metabolic syndrome (WHO definition) 14.6% vs 0% (p = 0.012), metabolic syndrome (NCEP-ATPIII definition) 22% vs 0% (p = 0.002), low HDL 36.6% vs 9.5% (p = 0.024), fasting glucose (mmol/L) 5.4 ± 0.6 vs 4.9 ± 0.2 (p < 0.001), glucose 120' oral glucose tolerance test (mmol/L) 5.8 ± 1.7vs 4.7 ± 0.8 (p = 0.007), fasting insulin (µU/mL) 13.4 ± 8.1 vs 8.4 ± 4.3 (p = 0.004), HOMA index 3.3 ± 2.3 vs 1.8 ± 1.0 (p = 0.002), HbA(1c) (%) 5.4 ± 0.2 vs 5.2 ± 0.2 (p = 0.021), uric acid (mg/dL) 4.1 ± 1 vs 3.5 ± 0.6 (p = 0.009), leptin (ng/mL) 32 025.5 ± 19 917.3 vs 20 258.9 ± 16 359.9 (p = 0.023), respectively. CONCLUSIONS: Women with previous gestational diabetes have central adiposity, atherogenic lipid profile, carbohydrate intolerance and adverse adipokine profile, all of which are risk factors for the future development of metabolic disease and CVD.