ABSTRACT
In this work, oxidation with a Fenton-like process of a dye solution was carried out in a packed-bed reactor. Activated carbon Norit RX 3 Extra was impregnated with ferrous sulfate and used as catalyst (7 wt.% of iron). The effect of the main operating conditions in the Chicago Sky Blue (CSB) degradation was analyzed. It was found that the increase in temperature leads to a higher removal of the dye and an increased mineralization. However, it also increases the iron leaching, but the values observed were below 0.4 ppm (thus, far below European Union limits). It was possible to reach, at steady-state, a dye conversion of 88%, with a total organic carbon (TOC) removal of ca. 47%, being the reactor operated at 50°C, pH 3, W(cat)/Q=4.1 g min mL(-1) (W(cat) is the mass of catalyst and Q the total feed flow rate) and a H(2)O(2) feed concentration of 2.25 mM (for a CSB feed concentration of 0.012 mM). The same performance was reached in three consecutive cycles.
Subject(s)
Coloring Agents/chemistry , Trypan Blue/chemistry , Waste Disposal, Fluid/methods , Water Pollutants, Chemical/chemistry , Adsorption , Carbon/chemistry , Catalysis , Ferrous Compounds/chemistry , Hydrogen Peroxide/chemistry , Oxidants/chemistry , Oxidation-Reduction , Porosity , WastewaterSubject(s)
Breathing Exercises , Thermography , Adult , Child , Female , Humans , Infrared Rays , Male , Medicine, Chinese Traditional , Treatment OutcomeABSTRACT
BACKGROUND & AIMS: The identification of modifiable risk factors associated with disease-related undernutrition at hospital admission will contribute to the development of integrated intervention and control strategies for a timely primary prevention. This study aim was to quantify the association between functional autonomy and undernutrition. METHODS: A multicentric cross-sectional study was developed in six public hospitals in Portugal. Undernutrition risk was assessed using Nutritional Risk Screening 2002, undernutrition status was classified from anthropometry and functional autonomy was evaluated using the Katz Index. RESULTS: In this sample of 1144 patients, 36% were at undernutrition risk and 9.7% undernourished. In logistic regression analysis, dependent patients were at an increased risk of undernutrition (OR = 1.69, 95% confidence interval (CI) = 1.20-2.39). The following parameters: illiteracy (OR = 2.45, CI = 1.52-3.96), age (one year increment) (OR = 1.03, CI = 1.02-1.04), male (OR = 1.61, CI = 1.19-2.16), single/divorced/widowed (OR = 1.83, CI = 1.34-2.51) and smoker (OR = 1.55, CI = 1.02-2.35) also increased the undernutrition risk. The impaired functional status, being single, divorced or widowed and be a smoker were also associated with anthropometric undernutrition. CONCLUSIONS: Functional impairment is related with undernutrition risk and with anthropometrical undernutrition at hospital admission. We also conclude that little extra information is gained by using anthropometrical indices compared to NRS 2002 when assessing the factors associated with undernutrition.
Subject(s)
Anthropometry , Hospitalization , Malnutrition/metabolism , Adolescent , Adult , Aged , Body Mass Index , Confidence Intervals , Cross-Sectional Studies , Female , Humans , Male , Malnutrition/diagnosis , Middle Aged , Nutrition Assessment , Nutritional Status , Portugal , Risk Factors , Young AdultABSTRACT
BACKGROUND & AIMS: The reported frequency of disease-related malnutrition (DRM) for patients admitted to hospitals has been shown to be high, but an accurate estimate of the magnitude of its economic costs is lacking. The objective of this study was to determine the impact of DRM on hospitalization costs. METHODS: A probabilistic sample of 469 (50%) patients from two hospitals was recruited on a cross-sectional study. DRM was evaluated by the Nutritional Risk Screening-2002 instrument at hospital admission and hospitalization costs were calculated for each patient based on hospital length of stay and on the discharge diagnosis-related group (DRG) code. Estimates of the association between DRM and deviations from the mean cost within each DRG were carried out. RESULTS: Patients classified as nutritionally-at-risk accounted for 42% of the sample. Multivariate estimates of the determinants of cost deviation shows that the cost of treating a nutritionally-at-risk patient is 20% higher than the average of the respective DRG. Patients that are classified on DRG classes that have a higher relative weight are less likely to end up with hospitalization costs above the mean. CONCLUSIONS: Considering this sample case-mix, DRM can represent an increase in costs of 19.3%, or between 200 and 1500 euros, with a confidence of 95%.
