Notes

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Further, more severe renal damages corresponded to major biochemical and hormonal alterations.

Results of our study confirm that kidney damage is a frequent condition in adolescents withrestrictive-type AN and support making kidney functionality tests part of routine care in patients with AN.
Results of our study confirm that kidney damage is a frequent condition in adolescents with restrictive-type AN and support making kidney functionality tests part of routine care in patients with AN.
Several factors that worsen the prognosis of the new coronavirus SARS-CoV-2 have been identified, such as obesity or diabetes. V-9302 solubility dmso However, despite that nutrition may change in a lockdown situation, little is known about the influence of malnutrition among subjects hospitalized due to COVID-19. Our study aimed to assess whether the presence of malnutrition among patients admitted due to COVID-19 had any impact on clinical outcomes compared with patients with the same condition but well nourished.

75 patients admitted to hospital due to COVID-19 were analyzed cross-sectionally. Subjective Global Assessment (SGA) was completed by phone interview. Clinical parameters included were extracted from the electronic medical record.

According to the SGA, 27 admitted due to a COVID-19 infection had malnutrition. Patients not well nourished were older than patients with a SGA grade A (65±14.1 vs 49±15.1 years; p<0.0001). Length of hospital stay among poorly nourished patients was significantly higher (18.4±15.6 vs 8.5±7.7 days; p=0.001). Mortality rates and admission to ICU were greater among subjects with any degree of malnutrition compared with well-nourished patients (7.4% vs 0%; p=0.05 and 44.4% vs 6.3%; p<0.0001). CRP (120.9±106.2 vs 60.8±62.9mg/l; p=0.03), D-dimer (1516.9±1466.9 vs 461.1±353.7ng/mL; p<0.0001) and ferritin (847.8±741.1 vs 617.8±598.7mcg/l; p=0.03) were higher in the group with malnutrition. Haemoglobin (11.6±2.1 vs 13.6±1.5g/dl; p<0.0001) and albumin 3.2±0.7 vs 4.1±0.5g/dl; p<0.0001) were lower in patients with any degree of malnutrition.

The presence of a poor nutritional status is related to a longer stay in hospital, a greater admission in the ICU and a higher mortality.
The presence of a poor nutritional status is related to a longer stay in hospital, a greater admission in the ICU and a higher mortality.Nutritional management is integral to infant care in the neonatal intensive care unit (NICU). Recent research on body composition that specifically evaluated fat and fat-free mass has improved our understanding of infant growth and nutritional requirements. The need for body composition monitoring in infants is increasingly recognized as changes in fat mass and fat-free mass associated with early growth can impact clinical outcomes. With the availability of air displacement plethysmography (ADP) as a noninvasive method for assessing infant body composition and published normative gestational age- and sex-specific body composition curves, it is justifiable to integrate this innovation into routine clinical care. Here we describe our experiences in implementing body composition measurement using ADP in routine clinical care in different NICU settings.
The accuracy of estimating body composition compartments is critical in the clinical setting. Currently, there are different bioelectrical impedance analysis (BIA) devices available for obtaining raw BIA parameters. The aim of this study was to determine the level of agreement between multiple frequency (MF)-BIA and single frequency (SF)-BIA devices in obtaining raw BIA measurements (resistance (R), reactance (Xc), and phase angle (PhA)), as well as the agreement on the classification of hydration status and body cell mass by the bioelectrical impedance vector analysis (BIVA) method.

This cross-sectional study included 406 outpatients with stable chronic heart failure (HF). The raw BIA measurements at 50kHz obtained by tetrapolar MF-BIA (Bodystat QuadScan 4000) were compared with those obtained by tetrapolar SF-BIA (RJL Quantum X). In addition, the patients were classified by their hydration status and body cell mass according to the BIVA method.

Strong and significant correlations were observed between the two methods in all raw BIA variables (r≥0.90). Lin's concordance correlation coefficient (CCC) values were almost perfect for R (CCC=0.99; 95% CI 0.997 to 0.998), moderate for Xc (CCC=0.93; 95% CI 0.92 to 0.94), and poor for PhA (CCC=0.88; 95% CI 0.85 to 0.90). The agreement obtained in the two classifications (quadrants and hydration status) was >0.81.

MF-BIA and SF-BIA demonstrated good agreement for measurement of the R parameter; however, the Xc and PhA parameters must be used carefully due to the previously reported variability. Likewise, the agreement in all classifications by the BIVA method was almost perfect.
MF-BIA and SF-BIA demonstrated good agreement for measurement of the R parameter; however, the Xc and PhA parameters must be used carefully due to the previously reported variability. Likewise, the agreement in all classifications by the BIVA method was almost perfect.
Aggressive behavior (AB) progress to a major concern among adolescents. The present study is designed to assess possible association between dietary intake of macronutrient, some micronutrient, cholesterol, and antioxidants with AB in adolescent girls, from age 9-13 years old.

In the case-control study, a total 212 primary school girls between 9 and 13 years of age were divided into two groups (106 with AB and 106 healthy) base on aggression score of the Buss-Perry questionnaire. A 147-item food frequency questionnaire (FFQ) was used to evaluate nutritional intake of subjects. Independent t-test and Mann-Whitney test was used to compare quantitative variables between the two groups according to the normality of data distribution. Chi-square test was used to compare categorical variables between case and control groups. Logistic regression models were used to assess possible association of nutrients intake with AB.

The consumption of more simple carbohydrate [odds ratios (OR) 14.53, confidence interval (CI) (13.
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