968 resultados para Diabete Mellitus


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OBJETIVO: Avaliar o componente resultado em um serviço de atenção secundária a usuários com Diabetes mellitus tipo 2, tomando como indicadores os controles de pressão arterial, hemoglobina glicada e lipoproteína de baixa densidade. MÉTODOS: Estudo do tipo documental e retrospectivo envolvendo a análise desses indicadores, obtidos nos anos entre 2007 e 2009, com base na consulta de 108 prontuários de usuários de um serviço de atenção secundária, realizada na avaliação de cuidados em saúde. RESULTADOS: Os resultados evidenciaram que 30,3% dos usuários alcançaram a meta para a hemoglobina glicada, 48,1%, para a pressão arterial e 42,3%, para a lipoproteína de baixa densidade. CONCLUSÃO: Os dados avaliados foram semelhantes aos encontrados em outras investigações internacionais e nacionais, com grande proporção de usuários com DM2 estudados, apresentando controle dos níveis hemoglobina A1c, PA e LDL-C, aquém do preconizado nos consensos.

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OBJECTIVE: To evaluate the perception of social support and the relationship of sociodemographic, clinical and metabolic control variables in individuals with diabetes mellitus and foot ulcers in an outpatient unit. METHODS: A quantitative cross-sectional approach was carried out using a social support network inventory. RESULTS: Participants had a high perception of social support; family and health professionals were identified as the main support sources. Fasting plasma glucose values were directly related with social support. CONCLUSION: Family members were identified as the main support source, which emphasizes their importance in the health care process.

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Friends' support is a key element in the management of Type 1 Diabetes Mellitus. This study describes the influence of friends on the lives of children with Diabetes Mellitus and its implications for managing the disease. Empirical data were collected through semi-structured interviews, supported with the use of puppets, with 19 children aged between seven and 12 years old. The qualitative analysis of the testimonies allowed understanding the phenomenon from two perspectives: the attitude of friends towards the child, positively or negatively affecting the disease's management, and the attitude of the child toward friends. The knowledge of those involved and the interaction between the children with DM1 and their friends impacts the management of the disease. Understanding the implications of these interactions contributes to the delivery of qualified nursing care to this population.

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OBJETIVOS: Comparar custos e benefícios clínicos de três terapias adicionais à metformina (MF) para pacientes com diabetes mellitus tipo 2 (DMT2). MÉTODOS: Um modelo de simulação de eventos discretos foi construído para estimar a relação custo-utilidade (custo por QALY) da saxagliptina como uma terapia adicional à MF comparada à rosiglitazona ou pioglitazona. Um modelo de impacto orçamentário (BIM - Budget Impact Model) foi construído para simular o impacto econômico da adoção de saxagliptina no contexto do Sistema Suplementar de Saúde brasileiro. RESULTADOS: O custo de aquisição da medicação para o grupo de pacientes hipotéticos analisados, para o horizonte temporal de três anos, foi de R$ 10.850.185,00, R$ 14.836.265,00 e R$ 14.679.099,00 para saxagliptina, pioglitazona e rosiglitazona, respectivamente. Saxagliptina exibiu menores custos e maior efetividade em ambas as comparações, com economias projetadas para os três primeiros anos de -R$ 3.874,00 e -R$ 3.996,00, respectivamente. O BIM estimou uma economia cumulativa de R$ 417.958,00 com o reembolso da saxagliptina em três anos a partir da perspectiva de uma operadora de plano de saúde com 1 milhão de vidas cobertas. CONCLUSÃO: Da perspectiva da fonte pagadora privada, a projeção é de que o acréscimo de saxagliptina à MF poupe custos quando comparado ao acréscimo de rosiglitazona ou pioglitazona em pacientes com DMT2 que não atingiram a meta de hemoglobina glicada (HbA1c) com metformina em monoterapia. O BIM, para a inclusão de saxagliptina nas listas de reembolso das operadoras de planos de saúde, indicou uma economia significativa para o horizonte de 3 anos.

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Abstract Background Regardless the regulatory function of microRNAs (miRNA), their differential expression pattern has been used to define miRNA signatures and to disclose disease biomarkers. To address the question of whether patients presenting the different types of diabetes mellitus could be distinguished on the basis of their miRNA and mRNA expression profiling, we obtained peripheral blood mononuclear cell (PBMC) RNAs from 7 type 1 (T1D), 7 type 2 (T2D), and 6 gestational diabetes (GDM) patients, which were hybridized to Agilent miRNA and mRNA microarrays. Data quantification and quality control were obtained using the Feature Extraction software, and data distribution was normalized using quantile function implemented in the Aroma light package. Differentially expressed miRNAs/mRNAs were identified using Rank products, comparing T1DxGDM, T2DxGDM and T1DxT2D. Hierarchical clustering was performed using the average linkage criterion with Pearson uncentered distance as metrics. Results The use of the same microarrays platform permitted the identification of sets of shared or specific miRNAs/mRNA interaction for each type of diabetes. Nine miRNAs (hsa-miR-126, hsa-miR-1307, hsa-miR-142-3p, hsa-miR-142-5p, hsa-miR-144, hsa-miR-199a-5p, hsa-miR-27a, hsa-miR-29b, and hsa-miR-342-3p) were shared among T1D, T2D and GDM, and additional specific miRNAs were identified for T1D (20 miRNAs), T2D (14) and GDM (19) patients. ROC curves allowed the identification of specific and relevant (greater AUC values) miRNAs for each type of diabetes, including: i) hsa-miR-1274a, hsa-miR-1274b and hsa-let-7f for T1D; ii) hsa-miR-222, hsa-miR-30e and hsa-miR-140-3p for T2D, and iii) hsa-miR-181a and hsa-miR-1268 for GDM. Many of these miRNAs targeted mRNAs associated with diabetes pathogenesis. Conclusions These results indicate that PBMC can be used as reporter cells to characterize the miRNA expression profiling disclosed by the different diabetes mellitus manifestations. Shared miRNAs may characterize diabetes as a metabolic and inflammatory disorder, whereas specific miRNAs may represent biological markers for each type of diabetes, deserving further attention.

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rograma de doctorado: Avances en Traumatología, Medicina del Deporte, Cuidados de Heridas (Interdepartamental). Bienio 2007/2008.

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Objectives In diabetic and non diabetic patients with peripheral artery obstructive disease (PAOD), we sought to establish whether the vascular wall damage, the mature circulating endothelium and the "in situ" neoangiogenesis are related with each other. Design In the peripheral blood of diabetic patients suffering critical ischaemia associated with peripheral artery disease, low levels and poor function of circulating endothelial progenitor cells (EPCs) were observed. Moreover, circulating endothelial cells (CECs) have been described in different conditions of vascular injury. In this type of disorders, which are all characterized by endothelial damage, neoangiogenesis plays a key role. Materials In the study we recruited 22 diabetic and 16 non diabetic patients, all of them suffering PAOD and critical ischaemia; healthy subjects and multiorgan donors have also been considered like controls. Methods Histopathologic characterization was performed on arterial tissue samples under a light microscope. Flow cytofluorimetric analysis was used to quantify CECs in peripheral blood samples. "In situ" expression of the Vascular Endothelial Growth Factor (VEGF) and Metalloproteinase 9 (MMP-9) transcripts was quantified in a Real Time-PCR analysis. Circulating VEGF concentration was determined by an ELISA assay. Results Arterial wall from diabetic patients, compared with non diabetic subjects, revealed a higher incidence of serious lesions (60% vs 47%) and a lower number of capillaries (65% vs 87%). Mean number of CECs/ml was significantly increased in all patients, compared to healthy controls (p=0.001). Compared to healthy subjects, VEGF transcripts expression resulted significantly higher in diabetic patients and in all patients (p<0.05) and a similar result was obtained in the MMP-9 transcripts expression. Serum VEGF concentration was significantly increased in PAOD patients correlated with controls (p=0.0431). Conclusions Our study demonstrates that in all patients considered, probably, regressive phenomenons prevail on reparative ones, causing an inesorable and progressive degeneration of the vascular wall, worse by diabetes. The vascular damage can be monitored by determining CECs number and its severity and development are emphasized by the MMP-9 transcripts expression. The "in situ" VEGF increased expression seems to be the evidence of a parietal cells bid to induce local angiogenesis. This reparing mechanism could induce the EPCs mobilitation by means the release of VEGF from the arterial wall. The mechanism, however, is ineffective like demonstrated by the EPCs reduced number and activities observed in patients suffering PAOD and critical ischaemia.

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L’infiammazione cronica è un fattore di rischio di insorgenza del cancro, e la citochina infiammatoria IL-6 gioca un ruolo importante nella tumorigenesi. In questo studio abbiamo dimostrato che L’IL-6 down-regola l'espressione e l'attività di p53. In linee cellulari umane, IL-6 stimola la trascrizione dell’rRNA mediante espressione della proteina c-myc a livello post-trascrizionale in un meccanismo p38MAPK-dipendente. L'up-regolazione della biogenesi ribosomiale riduce l'espressione di p53 attraverso l'attivazione della via della proteina ribosomale-MDM2. La down-regolazione di p53 produce l’acquisizione di modifiche fenotipiche e funzionali caratteristiche della epitelio mesenchimale di transizione, un processo associato a trasformazione maligna e progressione tumorale. I nostri dati mostrano che questi cambiamenti avvengono anche nelle cellule epiteliali del colon di pazienti affetti da colite ulcerosa, un esempio rappresentativo di una infiammazione cronica soggetta a trasformazione neoplastica, che scompaiono dopo trattamento con farmaci antinfiammatori. Questi risultati svelano un nuovo effetto oncogenico indotto dall’IL-6 che può contribuire notevolmente ad aumentare il rischio di sviluppare il cancro non solo in pazienti con infiammazioni croniche, ma anche in quei pazienti con condizioni patologiche caratterizzate da elevato livello di IL-6 nel plasma, quali l'obesità e e il diabete mellito di tipo 2.

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Il Diabete, modello paradigmatico delle malattie croniche, sta assumendo negli ultimi anni le proporzioni di una pandemia, che non ha intenzione di arrestarsi, ma del quale, con l’aumento dei fattori di rischio, aumentano prevalenza e incidenza. Secondo stime autorevoli il numero delle persone con diabete nel 2035 aumenterà fino a raggiungere i 382 milioni di casi. Una patologia complessa che richiede lo sforzo di una vasta gamma di professionisti, per ridurre in futuro in maniera significativa i costi legati a questa patologia e nel contempo mantenere e addirittura migliorare gli standard di cura. Una soluzione è rappresentata dall'impiego delle ICT, Information and Communication Technologies. La continua innovazione tecnologica dei medical device per diabetici lascia ben sperare, dietro la spinta di capitali sempre più ingenti che iniziano a muoversi in questo mercato del futuro. Sempre più device tecnologicamente avanzati, all’avanguardia e performanti, sono a disposizione del paziente diabetico, che può migliorare tutti processi della cura, contenendo le spese. Di fondamentale importanza sono le BAN reti di sensori e wearable device, i cui dati diventano parte di un sistema di gestione delle cure più ampio. A questo proposito METABO è un progetto ICT europeo dedicato allo studio ed al supporto di gestione metabolica del diabete. Si concentra sul miglioramento della gestione della malattia, fornendo a pazienti e medici una piattaforma software tecnologicamente avanzata semplice e intuitiva, per aiutarli a gestire tutte le informazioni relative al trattamento del diabete. Innovativo il Clinical Pathway, che a partire da un modello Standard con procedimenti semplici e l’utilizzo di feedback del paziente, viene progressivamente personalizzato con le progressive modificazioni dello stato patologico, psicologico e non solo. La possibilità di e-prescribing per farmaci e device, e-learning per educare il paziente, tenerlo sotto stretto monitoraggio anche alla guida della propria auto, la rendono uno strumento utile e accattivante.

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L'obiettivo della tesi è proporre e motivare l'adozione di un modello computazionale Agent-Based nell'ambito del Self-Management di malattie croniche in un sistema di mobile Health. Viene quindi affrontata in maniera approfondita la tematica del mobile Health, settore in grande espansione che vede l'introduzione massiccia dei dispositivi mobili (smartphone, tablet, PDA) in ambito sanitario, e quella del Self-Managment di malattie croniche, un processo di cura caratterizzato dalla partecipazione autonoma del paziente stesso, fornendo una panoramica dei vari approcci computazionali sviluppati. Successivamente vengono presentate le peculiarità dei modelli computazionali risultati dalle ricerche in letteratura strumenti innovati nell'ambito. Nel caso di studio viene adottata la tecnica di modellazione Agent-Based per sviluppare un modello a supporto di malati cronici affetti da diabete mellito di tipo 1. Con la successiva implementazione sulla piattaforma di simulazione MASON, vengono eseguiti diversi esperimenti per dimostrare la fattibilità dell’approccio adottato nell'ambito del Self-Management di malattie croniche.

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To compare exercise-induced growth hormone (GH) response in patients with Type 1 diabetes during stable euglycaemic and hyperglycaemic conditions.

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The aim of this randomized, single-blinded cross-over study was to investigate the response of interleukin-6 (IL-6) during moderate aerobic exercise in stable euglycaemia and hyperglycaemia in seven male patients with type 1 diabetes mellitus. IL-6 increased significantly over the entire study period in euglycaemia, but not in hyperglycaemia.

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To compare gingival crevicular fluid (GCF) biomarker levels and microbial distribution in plaque biofilm (SP) samples for subjects with type 1 diabetes (T1DM) versus healthy subjects without diabetes during experimental gingivitis (EG).

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The purpose of this study was to assess the expression profile of genes with potential role in the development of insulin resistance (adipokines, cytokines/chemokines, estrogen receptors) in subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT) and placenta of pregnant women with gestational diabetes mellitus (GDM) and age-matched women with physiological pregnancy at the time of Caesarean section. qRT-PCR was used for expression analysis of the studied genes. Leptin gene expression in VAT of GDM group was significantly higher relative to control group. Gene expressions of interleukin-6 and interleukin-8 were significantly increased, whereas the expressions of genes for estrogen receptors alpha and beta were significantly reduced in SAT of GDM group relative to controls, respectively. We found no significant differences in the expression of any genes of interest (LEP, RETN, ADIPOR1, ADIPOR2, TNF-alpha, CD68, IL-6, IL-8, ER alpha, ER beta) in placentas of women with GDM relative to controls. We conclude that increased expression of leptin in visceral adipose depot together with increased expressions of proinflammatory cytokines and reduced expressions of estrogen receptors in subcutaneous fat may play a role in the etiopathogenesis of GDM.

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Background. Metabolic complications, including cardiovascular events and diabetes mellitus (DM), are a major long-term concern in human immunodeficienc virus (HIV)-infected individuals. Recent genome-wide association studies have reliably associated multiple single nucleotide polymorphisms (SNPs) to DM in the general population. Methods. We evaluated the contribution of 22 SNPs identifie in genome-wide association studies and of longitudinally measured clinical factors to DM. We genotyped all 94 white participants in the Swiss HIV Cohort Study who developed DM from 1 January 1999 through 31 August 2009 and 550 participants without DM. Analyses were based on 6054 person-years of follow-up and 13,922 measurements of plasma glucose. Results. The contribution to DM risk explained by SNPs (14% of DM variability) was larger than the contribution to DM risk explained by current or cumulative exposure to different antiretroviral therapy combinations (3% of DM variability). Participants with the most unfavorable genetic score (representing 12% and 19% of the study population, respectively, when applying 2 different genetic scores) had incidence rate ratios for DM of 3.80 (95% confidenc interval [CI], 2.05–7.06) and 2.74 (95% CI, 1.53–4.88), respectively, compared with participants with a favorable genetic score. However, addition of genetic data to clinical risk factors that included body mass index only slightly improved DM prediction. Conclusions. In white HIV-infected persons treated with antiretroviral therapy, the DM effect of genetic variants was larger than the potential toxic effects of antiretroviral therapy. SNPs contributed significantl to DM risk, but their addition to a clinical model improved DM prediction only slightly, similar to studies in the general population.