487 resultados para Diabetes - Lesões na retina


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The nursing care of a six year old with type 1 diabetes reveals the importance of accurate control of the condition for normal physical, emotional and cognitive development. Clearly the children's nurse can educate and support the child, parents and extended family towards achieving independence and self-care. Theoretical knowledge of normal child maturation can guide nurses to constantly adapt their modes of communication and nursing skills, so as to promote every aspect and stage of the child's growth. Prevalence of type 1 diabetes is increasing, and nurses should use their close professional involvement with patients to assist research at every opportunity.

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Aims/hypothesis

The genetic determinants of diabetic nephropathy remain poorly understood. We aimed to identify novel susceptibility genes for diabetic nephropathy.

Methods

We performed a genome-wide association study using 1000 Genomes-based imputation to compare type 1 diabetic nephropathy cases with proteinuria and with or without renal failure with control patients who have had diabetes for more than 15 years and no evidence of renal disease.

Results

None of the single nucleotide polymorphisms (SNPs) tested in a discovery cohort composed of 683 cases and 779 controls reached genome-wide statistical significance. The 46 top hits (p < 10−5) were then sought for first-stage analysis in the Genetics of Kidneys in Diabetes US (US-GoKinD) study, an independent population of 820 cases and 885 controls. Two SNPs in strong linkage disequilibrium with each other and located in the SORBS1 gene were consistently and significantly (p < 10−4) associated with diabetic nephropathy. The minor rs1326934-C allele was less frequent in cases than in controls (0.34 vs 0.43) and was associated with a decreased risk for diabetic nephropathy (OR 0.70; 95% CI 0.60, 0.82). However, this association was not observed in a second stage with two additional diabetic nephropathy cohorts, the All Ireland-Warren 3-Genetics of Kidneys in Diabetes UK and Republic of Ireland (UK-ROI; p = 0.15) and the Finnish Diabetic Nephropathy (FinnDiane; p = 0.44) studies, totalling 2,142 cases and 2,494 controls. Altogether, the random-effect meta-analysed rs1326934-C allele OR for diabetic nephropathy was 0.83 (95% CI 0.72, 0.96; p = 0.009).

Conclusions/interpretation

These data suggest that SORBS1 might be a gene involved in diabetic nephropathy.

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Aims To determine whether the financial incentives for tight glycaemic control, introduced in the UK as part of a pay-for-performance scheme in 2004, increased the rate at which people with newly diagnosed Type 2 diabetes were started on anti-diabetic medication.

Methods A secondary analysis of data from the General Practice Research Database for the years 1999-2008 was performed using an interrupted time series analysis of the treatment patterns for people newly diagnosed with Type 2 diabetes (n=21 197).

Results Overall, the proportion of people with newly diagnosed diabetes managed without medication 12months after diagnosis was 47% and after 24months it was 40%. The annual rate of initiation of pharmacological treatment within 12months of diagnosis was decreasing before the introduction of the pay-for-performance scheme by 1.2% per year (95% CI -2.0, -0.5%) and increased after the introduction of the scheme by 1.9% per year (95% CI 1.1, 2.7%). The equivalent figures for treatment within 24months of diagnosis were -1.4% (95% CI -2.1, -0.8%) before the scheme was introduced and 1.6% (95% CI 0.8, 2.3%) after the scheme was introduced.

Conclusion The present study suggests that the introduction of financial incentives in 2004 has effected a change in the management of people newly diagnosed with diabetes. We conclude that a greater proportion of people with newly diagnosed diabetes are being initiated on medication within 1 and 2years of diagnosis as a result of the introduction of financial incentives for tight glycaemic control.

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Aims: Systematic review of mortality in childhood-/adolescent-diagnosed Type 1 diabetes and examination of factors explaining the mortality variation between studies. 
Methods: Relevant studies were identified from systematic searches of MEDLINE and EMBASE. Observed and expected numbers of deaths were extracted, and standardised mortality ratios (SMRs) and 95 % confidence intervals (CIs) were calculated. Negative binomial regression was used to investigate association between mortality and study/country characteristics.
Results: Thirteen relevant publications with mortality data were identified describing 23 independent studies. SMRs varied markedly ranging from 0 to 854 (chi-squared = 70.68,df = 21, p<0.0001). Significant associations were observed between SMR and mid-year of follow-up [incidence rate ratio (IRR) 0.95, 95 % CI 0.91–0.99 equivalent to a 5 % decrease per year], between SMR and infant mortality rate (IRR 1.07, 95 % CI 1.02–1.12, a 7 % increase for each death per 1,000 live births) and, after omitting an outlier, between SMR and health expenditure as a percentage of gross domestic product (GDP) (IRR 0.79, 95 % CI 0.68–0.93, a 21 % decrease for each one percent increase in GDP). No relationship was detected between SMR and a country’s childhood diabetes incidence rate or GDP.
Conclusions: Excess mortality in childhood-/adolescent diagnosed Type 1 diabetes is apparent across countries worldwide. Excesses were less marked in more recent studies and in countries with lower infant mortality and higher health expenditure.

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This study assessed the association between glucose-lowering drug (GLD) use, including metformin, sulphonylurea derivatives and insulin, after breast cancer diagnosis and breast cancer-specific and all-cause mortality. 1763 breast cancer patients, diagnosed between 1998 and 2010, with type 2 diabetes were included. Cancer information was retrieved from English cancer registries, prescription data from the UK Clinical Practice Research Datalink and mortality data from the Office of National Statistics (up to January 2012). Time-varying Cox regression models were used to calculate HRs and 95 % CIs for the association between GLD use and breast cancer-specific and all-cause mortality. In 1057 patients with diabetes before breast cancer, there was some evidence that breast cancer-specific mortality decreased with each year of metformin use (adjusted HR 0.88; 95 % CI 0.75–1.04), with a strong association seen with over 2 years of use (adjusted HR 0.47; 95 % CI 0.26–0.82). Sulphonylurea derivative use for less than 2 years was associated with increased breast cancer-specific mortality (adjusted HR 1.70; 95 % CI 1.18–2.46), but longer use was not (adjusted HR 0.94; 95 % CI 0.54–1.66). In 706 patients who developed diabetes after breast cancer, similar patterns were seen for metformin, but sulphonylurea derivative use was strongly associated with cancer-specific mortality (adjusted HR 3.64; 95 % CI 2.16–6.16), with similar estimates for short- and long-term users. This study provides some support for an inverse association between, mainly long-term, metformin use and (breast cancer-specific) mortality. In addition, sulphonylurea derivative use was associated with increased breast cancer-specific mortality, but this should be interpreted cautiously, as it could reflect selective prescribing in advanced cancer patients.