Analysis of Changes in the Selected Nutritional Parameters of Patients within a Year from the Admission to the Enteral Nutrition Clinic.

(1) The following research question was formulated: What are the relationships between enteral nutrition and selected anthropometric and blood biochemical parameters? The aim of this study was to provide an assessment of the nutritional status of patients within one year from their admission to the Enteral Nutrition Clinic. (2) The study group included 103 participants. For the purpose of analysing their nutritional status, the Subjective Global Assessment (SGA) and Nutritional Risk Score (NRS) scales were used, anthropometric measurements were taken, and blood laboratory tests were performed. The assessment of changes in the indicated parameters was conducted at three time intervals: upon admission (T0) and 6 and 12 months after admission (T6 and T12, respectively). (3) The study group showed a significant improvement in the circumference of their upper and lower limbs. Nutrition therapy had an effect on the levels of erythrocytes, iron concentration, the activity of liver enzymes, and C-reactive protein levels. (4) The enrolment of patients into the Nutritional Therapy Programme had a positive effect on the selected results. 1. Twelve months after the introduction of nutritional intervention, an increase in erythrocyte count was particularly marked, and there was a decrease in the CRP (C Reactive Protein) level as well as the activity of liver enzymes. There was no significant effect of enteral nutrition on albumin and protein values. 2. To ensure the greatest efficiency of enteral nutritional therapy, it is to be continued for more than six months. 3. Nutritional interventions resulted in a significant increase in upper and lower limb circumferences among the study group. 4. For the purpose of identifying patients at risk of malnutrition, medical personnel should systematically raise their qualifications, and educational measures on this issue should be implemented at the stage of medical training at medical universities.

Analysis of the relationship between the blood concentration of several metals, macro- and micronutrients and endocrine disorders associated with male aging.

Beyond 30 years of age, men experience a decline in the production of testosterone, yet only a few develop late-onset hypogonadism. This study was designed to determine the relationship between blood concentrations of metals, macro- and micronutrients and age-related testosterone deficiency and associated hormonal changes in aging men. The research involved 313 men aged 50-75 years. We used ELISA to determine the concentrations of total testosterone (TT), free testosterone (FT), estradiol (E2), dehydroepiandrosterone sulfate (DHEAS) and sex hormone-binding globulin (SHBG). We calculated free androgen index (FAI). With the use of emission spectrometry in inductively coupled argon plasma, we determined the whole-blood concentrations of lead (Pb), cadmium (Cd), mercury (Hg), arsenic (As) and tungsten (W), as well as serum concentrations of magnesium (Mg), iron (Fe), calcium (Ca), copper (Cu), zinc (Zn), selenium (Se), chromium (Cr), manganese (Mn) and molybdenum (Mo). The study showed no relationship between TT and FT and the concentrations of metals. Men with TT deficiency had significantly lower concentrations of Mg and Fe and increased Mn. Men with FT deficiency had higher W and Cr levels and lower Fe. Assessing the correlation between the concentrations of hormones, SHBG and FAI, and the concentration of metals and macro- and microelements in the blood of the men, we found positive correlations between the concentrations of TT-Mg, TT-Fe, TT-Mo, FT-Fe, E2-As, SHBG-Mn, FAI-W, FAI-As, FAI-Zn and FAI-Ca, and negative correlations between the concentrations of TT-Mn, FT-Cd, FT-Cr, E2-Hg, E2-Cr, SHBG-W, SHBG-As, SHBG-Zn, SHBG-Ca, FAI-Pb and FAI-Mn. Positive correlations between As and E2 and between As and FAI may suggest a lack of association between this metal and hypogonadism in people not exposed to excess As levels. Our research indicates a positive relationship between the concentrations of Mg, Fe and Zn and endocrine system in aging men, in contrast to Mn and Cr. Toxic metals (Cd, Pb) seemed to negatively affect the level of bioavailable testosterone. In persons not exposed to As, As does not contribute late-onset hypogonadism. Heavy metals (Pb, Cd, Hg and W) may contribute to a lower concentration of DHEAS. The role of W in men with LOH was found to be ambiguous, as on the one hand its concentration was higher in men with FT deficiency, and on the other hand it positively correlated with FAI, which in turn indirectly indicates testosterone availability. Copper and selenium do not seem to play any significant role in the occurrence of TT deficiency in aging men.

Factors influencing risk of macrosomia in women with gestational diabetes mellitus undergoing intensive diabetic care.

AIMS: The aim of study was to assess the impact of intensive diabetic care, defined as target values for fasting glucose of 60-90mg/dl and 1-h postprandial glucose of below 130mg/dl, on neonatal birth weight in relation to risk indicators for fetal macrosomia in women with gestational diabetes mellitus (GDM). METHODS: In women with (N=543) and without GDM (N=1011) age, height, weight, previous GDM, history of macrosomia, family history of type 2 diabetes, parity and weight gain during pregnancy were recorded. RESULTS: Neonatal birth weight and frequency distribution of macrosomia and infants with small for gestational age did not differ between women with and without GDM. Neonatal birth weight was strongly associated with traditional risk predictors for GDM, such like prior macrosomia (OR 5.03; 95%CI 3.36-7.53), prior GDM (OR 2.52; 95%CI 1.37-4.64) and prepregnancy body mass index (BMI)>23kg/m(2) (OR 1.82; 95%CI 1.27-2.63). CONCLUSIONS: Neonatal birth weight and the incidence of macrosomia were similar in comparison of pregnancies with and without GDM. In the population of Caucasian women the strongest single predictors for macrosomia were prior macrosomia, BMI>23kg/m(2) and prior GDM.

Low predictive value of traditional risk factors in identifying women at risk for gestational diabetes.

BACKGROUND: There is no worldwide agreement on the best way to screen for gestational diabetes mellitus (GDM), and different diagnostic methods have been developed in order to identify women at risk. The aim of this study was to evaluate the prevalence and predictive value of the traditional risk indicators for GDM in a large group of Caucasian women. METHODS: We evaluated the frequency distribution of age, body mass index (BMI), prior macrosomia, prior GDM, and family history of diabetes of 1,414 pregnant women with GDM and 1,011 healthy pregnant women. RESULTS: The distribution of risk factors in both groups was different and significantly higher in GDM women. The cut-off value for age was 28 years, and 23 kg/m2 for BMI. The accumulation of two or more risk factors was frequent in GDM, but not in healthy women. By multiple logistic regression, there were significant interactions between independent variables of interest and GDM (OR: 3.19; p<0.001; sensitivity: 57.9%, specificity: 69.8%). The strongest predictors were prior GDM (OR: 4.35;95% CI: 2.42-7.82) and a family history of diabetes (OR: 3.03; 95% CI: 2.47-3.72); less predictive were age (OR: 1.69;95% CI: 1.44-1.99), BMI (OR: 1.50; 95% CI: 1.28-1.77), and prior macrosomia (OR: 1.64; 95% CI: 1.19-2.26). CONCLUSIONS: Selective screening based on traditional risk factors for GDM had relatively low sensitivity, and identified <60% of Caucasian women at risk. The cut-off value for BMI as a risk indicator (23 kg/m2) was lower than that proposed by guidelines about screening for GDM.