Malnutrition hos äldre patienter på sjukhus : Metoder för bedömning av nutritionsstatus samt sjuksköterskans rutiner och attityder i samband med prevention

Syftet med studien var att beskriva subjektiva multifaktoriella metoder som sjuksköterskor kan använda för att identifiera äldre patienter med malnutrition och patienter med risk för att utveckla malnutriion. Syftet var vidare att redogöra för vilka undersökningar som sjuksköterskor i kliniskt arbete använder för att bedöma patienters nutrionsstatus med samt att belysa sjuksköterskors attityder till prevention av malnutritionstillstånd. Studien genomfördes som en systematisk litteraturstudie. De vetenskapliga artiklar (n=17) som ingick i studiens resultat söktes i databaserna ELIN@Dalarna och CINAHL. De sökord som användes var malnutrition, nutrition, undernutrition, elderly, screening, assessment, MNA, SGA, nurses och attitudes i olika kombinationer. Genom analys och granskning av de vetenskapliga artiklarna framkom det i resultatet att SGA, MNA, Simplified Model Malnourishment och NUFFE var subjektiva multifaktoriella metoder som sjuksköterskor kan använda för identifiering av äldre patienter med malnutrition eller risk för malnutrition. Den vanligaste undersökningen som sjuksköterskor bedömde patienters nutritionsstatus med var vägning. Andra undersökningar var mätning, BMI, intervju om normal vikt och viktförlust, observation av patienten, kostregistrering samt nutritionsplan i journalen. Sjuksköterskor upplevde att sjukhusledningen inte förväntade sig att bedömning av patienters nutritionsstatus skulle ske vid inskrivning samt att ansvarsfördelningen mellan sjuksköterskor och läkare var oklar. Det förekom att sjuksköterskor var ointresserade av behandling av malnutrition, men majoriteten var mycket intresserade. Många sjuksköterskor kände att deras kunskaper inom nutrition var otillräckliga för arbetet.

Malnutrition vid cytostatikabehandligen, sjuksköterskans förebyggande och lindrande omvårdnadsåtgärder : systematisk litteraturstudie

Syftet men denna systematiska litteraturstudie har varit att beskriva vilka komplikationer, som kunde leda till malnutrition hos cancerpatienter när de genomgått cytostatikabehandling. Studien syftar även till att beskriva vilka omvårdnadsåtgärder sjuksköterskan kunde vidta för att förebygga och lindra dessa komplikationer hos patienter med cancer. Artikelsökningen har skett via databaserna Elin@Dalarna, Blackwell Synergy och ScienceDirect (Elsevier). Sökorden som användes var cancer, constipation, fatigue, malnutrition, nutrition, nursing, pain, support, treatment, chemotherapy, side-effects, prevention, oral, complication, nausea, nutritional support, weight loss, BMR, oncology och care. Resultatet visade att komplikationerna som cancerpatienterna kunde drabbas av var fatigue, diareér, kräkningar, såriga slemhinnor och illamående. Dessa komplikationer kunde leda till malnutrition. Många patienter med cancer kunde dö av malnutrition istället för själva sjukdomen. Malnutrierade patienter med cancer kunde även få fler komplikationer av cytostatikabehandlingen än de patienter med cancer som var normalviktiga. Att följa upp nutritionsstatusen tidigt visade sig vara mycket viktigt för att förebygga och lindra komplikationerna och hjälpa patienter med cancer att motarbeta malnutritionen. Samarbetet med andra vårdgivare visade sig vara nödvändigt för att patienten med cancer skulle få en så bra omvårdnad som möjligt.

Malnutrition hos barn med cancer; Nutritionsstöd och omvårdnad

Syftet med denna systematiska litteraturstudie som inkluderar 18 artiklar, har varit att belysa vilka nutritionsstöd som kan förebygga och behandla malnutrition hos barn med cancer samt vilka omvårdnadsbehov som finns i samband med nutritionsbehandling. Resultatet visade att barn med cancer som behandlas med strålning och/eller cytostatika ofta drabbas av olika biverkningar som påverkar nutritionen. Cirka 46 % av barnen utvecklade malnutrition. Näringsintaget försämrades ofta på grund av biverkningarna vilket fick till följd att behandlingen försämrades samt tillväxt och utveckling påverkades negativt. Olika sätt fanns för att upprätthålla gott nutritionsstatus. Oralt intag förordades för att upprätthålla mag- tarmkanalens struktur och funktion. Alternativ för kostbehandling när barnet inte klarade att inta oral kost var nasogastrisk sond (NS), Perkutan Endoskopisk Gastrostomi (PEG) och Total Parenteral Nutrition (TPN). NS visade sig vara relativt biverkningsfritt och ett alternativ att tillgå under kortare nutritionsbehandlingar. PEG var ett gott alternativ med relativt få biverkningar då barnet behöver nutritionsstöd under längre tid. TPN var ett alternativ enbart då barnet inte kunde äta relaterat till bristande upptag i mag- tarmkanalen. Försämrat näringsintag påverkade barnets livskvalitet. Familjen påverkades genom att ätandet var en stark källa till konflikt mellan barnet och föräldrarna. Det var viktigt att barnet och familjen fick stöd i barnets förmåga att kunna äta samt att erbjudas näringsrik kost. Bedömning av nutritionsstatus och dokumentation av oralt intag, parenteralt intag och effekter av nutritionsbehandlingen var av stor vikt för att kunna ge barnet optimal omvårdnad.

Detecting Major Genes Controlling Robustness of Chicken Body Weight Using Double Generalized Linear Models

Detecting both the majors genes that control the phenotypic mean and those controlling phenotypic variance has been raised in quantitative trait loci analysis. In order to mapping both kinds of genes, we applied the idea of the classic Haley-Knott regression to double generalized linear models. We performed both kinds of quantitative trait loci detection for a Red Jungle Fowl x White Leghorn F2 intercross using double generalized linear models. It is shown that double generalized linear model is a proper and efficient approach for localizing variance-controlling genes. We compared two models with or without fixed sex effect and prefer including the sex effect in order to reduce the residual variances. We found that different genes might take effect on the body weight at different time as the chicken grows.

Dynamics of Bose-Einstein condensates in double-well potentials

We study the dynamics of Bose-Einstein condensates in symmetric double-well potentials following a sudden change of the potential from the Mott-insulator to the superfluid regime. We introduce a continuum approximation that maps that problem onto the wave-packet dynamics of a particle in an anharmonic effective potential. For repulsive two-body interactions the visibility of interference fringes that result from the superposition of the two condensates following a stage of ballistic expansion exhibits a collapse of coherent oscillations onto a background value whose magnitude depends on the amount of squeezing of the initial state. Strong attractive interactions are found to stabilize the relative number dynamics. We visualize the dynamics of the system in phase space using a quasiprobability distribution that allows for an intuitive interpretation of the various types of dynamics.

Quantum control of electromagnetically induced transparency dispersion via atomic tunneling in a double-well Bose-Einstein condensate

Electromagnetically induced transparency (EIT) is an important tool for controlling light propagation and nonlinear wave mixing in atomic gases with potential applications ranging from quantum computing to table top tests of general relativity. Here we consider EIT in an atomic Bose-Einstein condensate (BEC) trapped in a double-well potential. A weak probe laser propagates through one of the wells and interacts with atoms in a three-level Lambda configuration. The well through which the probe propagates is dressed by a strong control laser with Rabi frequency Omega(mu), as in standard EIT systems. Tunneling between the wells at the frequency g provides a coherent coupling between identical electronic states in the two wells, which leads to the formation of interwell dressed states. The macroscopic interwell coherence of the BEC wave function results in the formation of two ultranarrow absorption resonances for the probe field that are inside of the ordinary EIT transparency window. We show that these new resonances can be interpreted in terms of the interwell dressed states and the formation of a type of dark state involving the control laser and the interwell tunneling. To either side of these ultranarrow resonances there is normal dispersion with very large slope controlled by g. We discuss prospects for observing these ultranarrow resonances and the corresponding regions of high dispersion experimentally.

Estimation of genetic variance for macro- and micro-environmental sensitivity using double hierarchical generalized linear models

Background: Genetic variation for environmental sensitivity indicates that animals are genetically different in their response to environmental factors. Environmental factors are either identifiable (e.g. temperature) and called macro-environmental or unknown and called micro-environmental. The objectives of this study were to develop a statistical method to estimate genetic parameters for macro- and micro-environmental sensitivities simultaneously, to investigate bias and precision of resulting estimates of genetic parameters and to develop and evaluate use of Akaike’s information criterion using h-likelihood to select the best fitting model. Methods: We assumed that genetic variation in macro- and micro-environmental sensitivities is expressed as genetic variance in the slope of a linear reaction norm and environmental variance, respectively. A reaction norm model to estimate genetic variance for macro-environmental sensitivity was combined with a structural model for residual variance to estimate genetic variance for micro-environmental sensitivity using a double hierarchical generalized linear model in ASReml. Akaike’s information criterion was constructed as model selection criterion using approximated h-likelihood. Populations of sires with large half-sib offspring groups were simulated to investigate bias and precision of estimated genetic parameters. Results: Designs with 100 sires, each with at least 100 offspring, are required to have standard deviations of estimated variances lower than 50% of the true value. When the number of offspring increased, standard deviations of estimates across replicates decreased substantially, especially for genetic variances of macro- and micro-environmental sensitivities. Standard deviations of estimated genetic correlations across replicates were quite large (between 0.1 and 0.4), especially when sires had few offspring. Practically, no bias was observed for estimates of any of the parameters. Using Akaike’s information criterion the true genetic model was selected as the best statistical model in at least 90% of 100 replicates when the number of offspring per sire was 100. Application of the model to lactation milk yield in dairy cattle showed that genetic variance for micro- and macro-environmental sensitivities existed. Conclusion: The algorithm and model selection criterion presented here can contribute to better understand genetic control of macro- and micro-environmental sensitivities. Designs or datasets should have at least 100 sires each with 100 offspring.

Genetic heterogeneity of residual variance : estimation of variance components using double hierarchical generalized linear models

Background: The sensitivity to microenvironmental changes varies among animals and may be under genetic control. It is essential to take this element into account when aiming at breeding robust farm animals. Here, linear mixed models with genetic effects in the residual variance part of the model can be used. Such models have previously been fitted using EM and MCMC algorithms. Results: We propose the use of double hierarchical generalized linear models (DHGLM), where the squared residuals are assumed to be gamma distributed and the residual variance is fitted using a generalized linear model. The algorithm iterates between two sets of mixed model equations, one on the level of observations and one on the level of variances. The method was validated using simulations and also by re-analyzing a data set on pig litter size that was previously analyzed using a Bayesian approach. The pig litter size data contained 10,060 records from 4,149 sows. The DHGLM was implemented using the ASReml software and the algorithm converged within three minutes on a Linux server. The estimates were similar to those previously obtained using Bayesian methodology, especially the variance components in the residual variance part of the model. Conclusions: We have shown that variance components in the residual variance part of a linear mixed model can be estimated using a DHGLM approach. The method enables analyses of animal models with large numbers of observations. An important future development of the DHGLM methodology is to include the genetic correlation between the random effects in the mean and residual variance parts of the model as a parameter of the DHGLM.

Role of dietary fats in modulating cardiometabolic risk during moderate weight gain : a randomized double-blind overfeeding trial (LIPOGAIN study)

BACKGROUND: Whether the type of dietary fat could alter cardiometabolic responses to a hypercaloric diet is unknown. In addition, subclinical cardiometabolic consequences of moderate weight gain require further study. METHODS AND RESULTS: In a 7-week, double-blind, parallel-group, randomized controlled trial, 39 healthy, lean individuals (mean age of 27±4) consumed muffins (51% of energy [%E] from fat and 44%E refined carbohydrates) providing 750 kcal/day added to their habitual diets. All muffins had identical contents, except for type of fat; sunflower oil rich in polyunsaturated fatty acids (PUFA diet) or palm oil rich in saturated fatty acids (SFA diet). Despite comparable weight gain in the 2 groups, total: high-density lipoprotein (HDL) cholesterol, low-density lipoprotein:HDL cholesterol, and apolipoprotein B:AI ratios decreased during the PUFA versus the SFA diet (-0.37±0.59 versus +0.07±0.29, -0.31±0.49 versus +0.05±0.28, and -0.07±0.11 versus +0.01±0.07, P=0.003, P=0.007, and P=0.01 for between-group differences), whereas no significant differences were observed for other cardiometabolic risk markers. In the whole group (ie, independently of fat type), body weight increased (+2.2%, P<0.001) together with increased plasma proinsulin (+21%, P=0.007), insulin (+17%, P=0.003), proprotein convertase subtilisin/kexin type 9, (+9%, P=0.008) fibroblast growth factor-21 (+31%, P=0.04), endothelial markers vascular cell adhesion molecule-1, intercellular adhesion molecule-1, and E-selectin (+9, +5, and +10%, respectively, P<0.01 for all), whereas nonesterified fatty acids decreased (-28%, P=0.001). CONCLUSIONS: Excess energy from PUFA versus SFA reduces atherogenic lipoproteins. Modest weight gain in young individuals induces hyperproinsulinemia and increases biomarkers of endothelial dysfunction, effects that may be partly outweighed by the lipid-lowering effects of PUFA. CLINICAL TRIAL REGISTRATION URL: http://ClinicalTrials.gov. Unique identifier: NCT01427140.