Hypertriglyceridemic Pancreatitis: Conventional Treatment Versus Therapeutic Plasma Exchange

Introdução:A pancreatite aguda (PA) por hipertrigliceridemia (HTG) pode ser tratada com troca plasmática terapêutica (TPT), com redução rápida dos valores de triglicerídeos. Contudo, não existem estudos comparativos definitivos que comprovem o real benefício desta terapêutica. Objetivo: Comparação dos métodos de tratamento (troca plasmática terapêutica versus convencional) em doentes com PA HTG, durante um período de 12 anos (2000-2012). Métodos: Estudo retrospetivo descritivo e inferencial de 37 doentes, avaliando: sexo, idade, antecedentes pessoais, gravidade, valores de TG e evolução consoante o tratamento (“TPT” ou terapêutica convencional “C”). Resultados: Os dois grupos TPT e C mostraram-se homogéneos quanto ao sexo (p = 0,647), idade (43,5 ± 9,74 anos TPT versus 45,30 ± 9,90 anos C; p = 0.320), pancreatite prévia (40% TPT vs 40,7% C; p = 1,0) alcoolismo crónico (50% TPT vs 70,4% C; p = 0,275) e gravidade pelo score de APACHE II (p = 0,054) e Ranson às 48 horas (p = 0,258). Dos doentes 45,95% apresentava mais de um fator de risco secundário para HTG. O grupo TPT apresentou maiores valores de TG à admissão: 4850 ± 2802 mg/dL vs 1845 ± 1858 mg/dL (p = 0,001). Não se verificaram diferenças na duração do internamento 14,2 ± 6,8 dias vs 13,5 ± 9,0 dias (p = 0,56) ou na taxa de mortalidade (p = 0,47). À data de alta a redução dos TG foi superior no grupo TPT: 4433,70 ± 2896,08 mg/dL - 91,41% vs 1582,95 ± 2051,06 mg/dL – 83,92% (p = 0,002). De referir seis intercorrências minor durante a troca plasmática terapêutica. Discussão/Conclusões: Apesar do viés de seleção (estudo retrospetivo), foi constatada uma maior redução dos TG por esta técnica. As intercorrências inerentes à técnica de troca plasmática terapêutica foram de simples resolução.info:eu-repo/semantics/publishedVersio

Pancreatite Hipertrigliceridémica: Tratamento Convencional Versus Troca Plasmática Terapêutica

Introduction: Acute pancreatitis (AP) induced by hypertriglyceridemia (HTG) can be treated with therapeutic plasma exchange (TPE), resulting in rapid reduction of triglyceride level. However, there are no definitive comparative studies that prove the real benefits of this therapy. Objectives: Comparison of treatment methods (TPE versus conventional) in patients with HTG AP during a period of 12 years (2000-2012). Methods: Retrospective, descriptive and inferential analysis of 37 patients, evaluating: gender, age, personal pathologic history, severity of disease, HTG values and evolution depending on treatment with therapeutic plasma exchange (“TPE”) or with conventional therapy (“C”). Results: Both groups TPE and C demonstrated homogeneity considering gender (p = 0.647), age (43.5 ± 9.74 years TPE vs 45.30 ± 9.90 years C; p = 0.320), prior AP episode (40% TPE vs 40.7% C; p = 1.0), chronic alcohol consumption (50% TPE vs 70.4% C; p = 0.275) and severity disease scores: APACHE II (p = 0.054) and Ranson (p = 0.258). More than one secondary HTG risk factor was presented in 45.95% of patients . TPE group presented higher TG levels at admission: 4850 ± 2802 mg/dL vs 1845 ± 1858 mg/dL (p = 0.001). No significant statistical differences were observed considering length of hospital stay [14.2 ± 6.8 days vs 13.5 ± 9.0 days (p = 0.56)] or mortality rate (p = 0.47). At discharge, TG reduction was greater in TPE group: 4433.70 ± 2896.08 mg/dL – 91.41% vs 1582.95 ± 2051.06 mg/dL – 83,92% (p = 0.002). Six minor complications associated to TPE occurred. Discussion/Conclusion: Despite the selection bias (retrospective study), a greater TG reduction was observed with TPE technique. Complications associated with the technique were simple to resolveinfo:eu-repo/semantics/publishedVersio

Noncommutative cosmological models coupled to a perfect fluid and a cosmological constant

In this work we carry out a noncommutative analysis of several Friedmann-Robert-Walker models, coupled to different types of perfect fluids and in the presence of a cosmological constant. The classical field equations are modified, by the introduction of a shift operator, in order to introduce noncommutativity in these models. We notice that the noncommutative versions of these models show several relevant differences with respect to the correspondent commutative ones.Comment: 27 pages. 7 figures. JHEP style.arXiv admin note: substantial text overlap with arXiv:1104.481

Federated Ensemble Regression Using Classification

Ensemble learning has been shown to significantly improve predictive accuracy in a variety of machine learning problems. For a given predictive task, the goal of ensemble learning is to improve predictive accuracy by combining the predictive power of multiple models. In this paper, we present an ensemble learning algorithm for regression problems which leverages the distribution of the samples in a learning set to achieve improved performance. We apply the proposed algorithm to a problem in precision medicine where the goal is to predict drug perturbation effects on genes in cancer cell lines. The proposed approach significantly outperforms the base case

Using a logical model to predict the growth of yeast

<p>Abstract</p> <p>Background</p> <p>A logical model of the known metabolic processes in <it>S. cerevisiae </it>was constructed from iFF708, an existing Flux Balance Analysis (FBA) model, and augmented with information from the KEGG online pathway database. The use of predicate logic as the knowledge representation for modelling enables an explicit representation of the structure of the metabolic network, and enables logical inference techniques to be used for model identification/improvement.</p> <p>Results</p> <p>Compared to the FBA model, the logical model has information on an additional 263 putative genes and 247 additional reactions. The correctness of this model was evaluated by comparison with iND750 (an updated FBA model closely related to iFF708) by evaluating the performance of both models on predicting empirical minimal medium growth data/essential gene listings.</p> <p>Conclusion</p> <p>ROC analysis and other statistical studies revealed that use of the simpler logical form and larger coverage results in no significant degradation of performance compared to iND750.</p

Comparative transcriptomic analysis reveals similarities and dissimilarities in saccharomyces cerevisiae wine strains response to nitrogen availability

Nitrogen levels in grape-juices are of major importance in winemaking ensuring adequate yeast growth and fermentation performance. Here we used a comparative transcriptome analysis to uncover wine yeasts responses to nitrogen availability during fermentation. Gene expression was assessed in three genetically and phenotypically divergent commercial wine strains (CEG, VL1 and QA23), under low (67 mg/L) and high nitrogen (670 mg/L) regimes, at three time points during fermentation (12h, 24h and 96h). Two-way ANOVA analysis of each fermentation condition led to the identification of genes whose expression was dependent on strain, fermentation stage and on the interaction of both factors. The high fermenter yeast strain QA23 was more clearly distinct from the other two strains, by differential expression of genes involved in flocculation, mitochondrial functions, energy generation and protein folding and stabilization. For all strains, higher transcriptional variability due to fermentation stage was seen in the high nitrogen fermentations. A positive correlation between maximum fermentation rate and the expression of genes involved in stress response was observed. The finding of common genes correlated with both fermentation activity and nitrogen up-take underlies the role of nitrogen on yeast fermentative fitness. The comparative analysis of genes differentially expressed between both fermentation conditions at 12h, where the main difference was the level of nitrogen available, showed the highest variability amongst strains revealing strain-specific responses. Nevertheless, we were able to identify a small set of genes whose expression profiles can quantitatively assess the common response of the yeast strains to varying nitrogen conditions. The use of three contrasting yeast strains in gene expression analysis prompts the identification of more reliable, accurate and reproducible biomarkers that will facilitate the diagnosis of deficiency of this nutrient in the grape-musts and the development of strategies to optimize yeast performance in industrial fermentations

Feasibility of a cognitive behavioural group intervention to reduce fear of falling and associated avoidance of activity in community-living older people: a process evaluation

BACKGROUND: Fear of falling and associated avoidance of activity are common among older people and may have negative consequences in terms of functional decline, quality of life and institutionalisation. We evaluated the effects of a cognitive behavioural group intervention to reduce fear of falling and associated avoidance of activity among older persons. This intervention showed favourable effects on fear of falling, avoidance of activity, daily activity, and several secondary outcomes. The aim of the present study is to assess the feasibility of this cognitive behavioural group intervention for participants and facilitators. METHODS: The intervention consisted of eight weekly group sessions lasting two hours each and a booster session after six months. Self-administered questionnaires, registration forms and interviews were used to collect data from participants (n = 168) and facilitators (n = 6) on the extent to which the intervention was performed according to protocol, participant attendance, participant adherence, and participants' and facilitators' opinion of the intervention. Quantitative data from the questionnaires and registration forms were analysed by means of descriptive statistics. Qualitative data were categorised based on matching contents of the answers. RESULTS: Facilitators reported no major protocol deviations. Twenty-six percent of the participants withdrew before the start of the programme. Of the persons who started the programme, 84% actually completed it. The participants reported their adherence as good, but facilitators had a less favourable opinion of this. The majority of participants still reported substantial benefits from the programme after six and twelve months of follow-up (71% and 61% respectively). Both participants and facilitators provided suggestions for improvement of the intervention. CONCLUSION: Results of this study show that the current cognitive behavioural group intervention is feasible for both participants and facilitators and fits in well with regular care. Minor refinement of the intervention, however, is warranted to further improve intervention effectiveness and efficiency. Based on these positive findings, we recommend implementing a refined version of this effective and feasible intervention in regular care. TRIAL REGISTRATION: ISRCTN43792817