862 resultados para GESTATIONAL DIABETES-MELLITUS


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Aim: The goal of this study was to evaluate the change in hemoglobin A1C and glycemic control after nutrition intervention among a population of type 1 diabetic pediatric patients. Methods: Data was collected from all type 1 diabetic patients who were scheduled for a consultation with the diabetes/endocrine RD from January 2006 through December 2006. Two groups were compared, those who kept their RD appointment and those who did not keep their appointment. The main outcome measure was HgbA1C. An independent samples t-test compared the two groups with respect to change in HbgA1C before and after the most recent scheduled appointment with the RD. Baseline characteristics were used as covariates and analyzed and controlled for using analysis of covariance (ANCOVA). Results: There was no difference in HgbA1c after either attending an RD appointment or not having attended an RD appointment. Those who arrived for and attended their RD appointment and those who did not arrive for and attend their RD appointment, had statistically different HgbA1C's before their scheduled appointment as well as after the RD appointment. However, the two groups were not equal at the beginning of the study period. Discussion: A study design with inclusion criteria of a specified range of HgbA1C values within which the study subjects needed to fall, would have potentially eliminated the difference between the two groups at the beginning of the study period. Conducting either another retrospective study that controlled for the initial HgbA1C value or conducting a prospective study that designated a range of HgbA1C values would be worth investigating to evaluate the impact of medical nutrition therapy intervention and the role of the RD in diabetes management. It is an interesting finding that there was a significant difference in the initial HgbA1c for those who came to the RD appointment compared to those who did not come. The fact that in this study those who did not arrive for their RD appointment had worse control of their diabetes suggests that this is a high-risk group. Targeting diabetes education toward this group of patients may prove to be beneficial. ^

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Background. Vascular dementia (VaD) is the second most common of dementia. Multiple risk factors are associated with VaD, but the individual contribution of each to disease onset and progression is unclear. We examined the relationship between diabetes mellitus type 2 (DM) and the clinical variables of VaD.^ Methods. Data from 593 patients evaluated between June, 2003 and June, 2008 for cognitive impairment were prospectively entered into a database. We retrospectively reviewed the charts of 63 patients who fit the NINDS-AIREN criteria of VaD. The patients were divided into those with DM (VaD-DM, n=29) and those without DM (VaD, n=34). The groups were compared with regard to multiple variables.^ Results. Patients with DM had a significantly earlier onset of VaD (71.9±6.54 vs. 77.2±6.03, p<0.001), a faster rate of decline per year on the mini mental state examination (MMSE; 3.60±1.82 vs. 2.54±1.60 points, p=0.02), and a greater prevalence of neuropsychiatric symptoms (62% vs. 21%, p=0.02) at the time of diagnosis.^ Conclusions. This study shows that a history of pre-morbid DM is associated with an early onset and faster cognitive deterioration in VaD. Moreover, the presence of DM predicts the presence of neuropsychiatric symptoms in patients with VaD. A larger study is needed to verify these associations. It will be important to investigate whether better glycemic control will mitigate the potential effects of DM on VaD.^

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This project is based on secondary analyses of data collected in Starr County, Texas from 1981 till 1991 to determine the prevalence, incidence and risk factors for macular edema in Hispanics with non-insulin-dependent diabetes in Starr County, Texas. Two studies were conducted. The first study examined the prevalence of macular edema in this population. Of the 310 diabetics that were included in the study 22 had macular edema. Of these 22 individuals 9 had clinically significant macular edema. Fasting blood glucose was found to be significantly associated with macular edema. For each 10 mg/dl increase in fasting blood glucose there was a 1.07 probability of an increase in the risk of having macular edema. Individuals with fasting blood glucose $\ge$200 mg/dl were found to be more than three times at risk of having macular edema compared to those with fasting blood glucose $<$200 mg/dl.^ In the second study the incidence and the risk factors that could cause macular edema in this Hispanic population were examined. 240 Hispanics with non-insulin-dependent diabetes mellitus and without macular edema were followed for 1223 person-years. During the follow-up period 27 individuals developed macular edema (2.21/100 person-years). High fasting blood glucose and glycosylated hemoglobin were found to be strong and independent risk factors for macular edema. Participants taking insulin were 3.9 times more at risk of developing macular edema compared to those not taking insulin. Systolic blood pressure was significantly related to macular edema, where each 10 mmHg increase in systolic blood pressure was associated with a 1.3 increase in the risk of macular edema.^ In summary, this study suggests that hyperglycemia is the main underlying factor for retinal pathological changes in this diabetic population, and that macular edema probably is not the result of sudden change in the blood glucose level. It also determined that changes in blood pressure, particularly systolic blood pressure, could trigger the development of macular edema.^ Based on the prevalence reported in this study, it is estimated that 35,500 Hispanic diabetics in the US have macular edema. This imposes a major public health challenge particularly in areas with high concentration of Mexican Americans. It also highlights the importance of public health measures directed to Mexican Americans such as health education, improved access to medical care, and periodic and careful ophthalmologic examination by ophthalmologists knowledgeable and experienced in the management of diabetic macular edema. ^

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This cross-sectional study examines the prevalence of selected potential risk factors by stage of diabetic retinopathy (DR) among Black American women with non-insulin-dependent diabetes mellitus (NIDDM) followed at a university diabetes clinic. DR was assessed by ophthalmoscopy and five-field retinography, and graded on counts of microaneurysms, hemorrhages and/or exudates, and presence of proliferative DR. Prevalence of other vascular diseases was assessed from medical records. Potential risk factors included age, known duration of diabetes, type of hypoglycemic treatment, concentrations of random capillary blood glucose, glycosylated hemoglobin, urine protein and fibrinogen, body mass index, and blood pressure. Prevalence of these risk factors is reported for three categories: No DR, mild background DR, severe background or proliferative DR (including surgically treated DR). Duration, age at diagnosis and treatment of diabetes, concentration of urine protein and average blood glucose, hypertension and cardiovascular disease were significantly associated with DR in univariate analysis. The covariance analysis employed stratification on duration, age at diagnosis and therapy of diabetes. The highest DR scores were calculated for those diagnosed before age 45, regardless of duration, therapy, or average blood glucose. Only individuals diagnosed before age 45 had high blood glucose concentrations in all categories of duration. These findings suggest that in this clinic population of Black women, those diagnosed with NIDDm before age 45 who eventually required insulin treatment were at the greatest risk of developing DR and that longterm poor glucose control is a contributing factor. These results suggest that greater emphasis be placed on this subgroup in allocating the limited resources available to improve the quality of glucose regulation, particularly through measures affecting compliance behavior.^ Findings concerning the association of DR with concentration of blood glucose and urine protein, blood pressure/hypertension and weight were compared with those reported from American Indian and Mexican American populations of the Southwestern United States where prevalence of NIDDM, hypertension and obesity is also high. Additional comparative analyses are outlined to substantiate the preliminary finding that there are systematic differences between these ethnic populations. ^

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Exploiting the full potential of telemedical systems means using platform based solutions: data are recovered from biomedical sensors, hospital information systems, care-givers, as well as patients themselves, and are processed and redistributed in an either centralized or, more probably, decentralized way. The integration of all these different devices, and interfaces, as well as the automated analysis and representation of all the pieces of information are current key challenges in telemedicine. Mobile phone technology has just begun to offer great opportunities of using this diverse information for guiding, warning, and educating patients, thus increasing their autonomy and adherence to their prescriptions. However, most of these existing mobile solutions are not based on platform systems and therefore represent limited, isolated applications. This article depicts how telemedical systems, based on integrated health data platforms, can maximize prescription adherence in chronic patients through mobile feedback. The application described here has been developed in an EU-funded R&D project called METABO, dedicated to patients with type 1 or type 2 Diabetes Mellitus

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Automatic blood glucose classification may help specialists to provide a better interpretation of blood glucose data, downloaded directly from patients glucose meter and will contribute in the development of decision support systems for gestational diabetes. This paper presents an automatic blood glucose classifier for gestational diabetes that compares 6 different feature selection methods for two machine learning algorithms: neural networks and decision trees. Three searching algorithms, Greedy, Best First and Genetic, were combined with two different evaluators, CSF and Wrapper, for the feature selection. The study has been made with 6080 blood glucose measurements from 25 patients. Decision trees with a feature set selected with the Wrapper evaluator and the Best first search algorithm obtained the best accuracy: 95.92%.

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Ejercicio, embarazo y diabetes

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The risks associated with gestational diabetes (GD) can be reduced with an active treatment able to improve glycemic control. Advances in mobile health can provide new patient-centric models for GD to create personalized health care services, increase patient independence and improve patients’ self-management capabilities, and potentially improve their treatment compliance. In these models, decision-support functions play an essential role. The telemedicine system MobiGuide provides personalized medical decision support for GD patients that is based on computerized clinical guidelines and adapted to a mobile environment. The patient’s access to the system is supported by a smartphone-based application that enhances the efficiency and ease of use of the system. We formalized the GD guideline into a computer-interpretable guideline (CIG). We identified several workflows that provide decision-support functionalities to patients and 4 types of personalized advice to be delivered through a mobile application at home, which is a preliminary step to providing decision-support tools in a telemedicine system: (1) therapy, to help patients to comply with medical prescriptions; (2) monitoring, to help patients to comply with monitoring instructions; (3) clinical assessment, to inform patients about their health conditions; and (4) upcoming events, to deal with patients’ personal context or special events. The whole process to specify patient-oriented decision support functionalities ensures that it is based on the knowledge contained in the GD clinical guideline and thus follows evidence-based recommendations but at the same time is patient-oriented, which could enhance clinical outcomes and patients’ acceptance of the whole system.

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Gestational Diabetes (GD) has increased over the last 20 years, affecting up to 15% of pregnant women worldwide. The complications associated can be reduced with the appropriate glycemic control during the pregnancy.

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O Diabetes Mellitus tipo 1 geralmente ocorre na infância ou adolescência e repercute de forma dramática na vida dos pais. A família é fundamental no tratamento do paciente: representa o alicerce que influenciará na aceitação ou não da enfermidade por parte do portador. Por isso, os objetivos deste estudo foram descrever as convicções de saúde de pais de crianças portadoras de diabetes mellitus tipo 1 e compreender mudanças comportamentais e psíquicas que possam influenciar na conduta em relação ao tratamento. Investigou-se 13 pessoas, pais de crianças de 11 meses a 10 anos portadoras de Diabetes Mellitus Tipo 1, por intermédio de uma entrevista para levantamento e descrição de fatores de convicção de saúde. Os dados foram avaliados com base em um modelo de “convicção de saúde”. Esse modelo avaliou: impacto do diagnóstico, suscetibilidade, severidade, benefícios, barreiras, eficácia própria e expectativa de futuro de cada um dos pais. Os resultados mostraram que os pais experimentam dificuldades, medos e inseguranças, pela doença do filho. Ao relatarem as situações vividas desde o diagnóstico até o momento atual, em todas as etapas, os pais revelam intenso sofrimento. Eles são constantemente invadidos por medo de perda tanto no presente como no futuro em função das complicações da doença. A partir desses resultados recomenda-se que os pais recebam atendimento de uma equipe multidisciplinar com conhecimento específico e com a finalidade de informar sobre a doença e aplacar os medos e inseguranças que criam obstáculos para a adesão ao tratamento. Espera-se com este tipo de atendimento melhorar e a qualidade de vida do paciente e de sua família.

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O Diabetes Mellitus tipo 1 geralmente ocorre na infância ou adolescência e repercute de forma dramática na vida dos pais. A família é fundamental no tratamento do paciente: representa o alicerce que influenciará na aceitação ou não da enfermidade por parte do portador. Por isso, os objetivos deste estudo foram descrever as convicções de saúde de pais de crianças portadoras de diabetes mellitus tipo 1 e compreender mudanças comportamentais e psíquicas que possam influenciar na conduta em relação ao tratamento. Investigou-se 13 pessoas, pais de crianças de 11 meses a 10 anos portadoras de Diabetes Mellitus Tipo 1, por intermédio de uma entrevista para levantamento e descrição de fatores de convicção de saúde. Os dados foram avaliados com base em um modelo de “convicção de saúde”. Esse modelo avaliou: impacto do diagnóstico, suscetibilidade, severidade, benefícios, barreiras, eficácia própria e expectativa de futuro de cada um dos pais. Os resultados mostraram que os pais experimentam dificuldades, medos e inseguranças, pela doença do filho. Ao relatarem as situações vividas desde o diagnóstico até o momento atual, em todas as etapas, os pais revelam intenso sofrimento. Eles são constantemente invadidos por medo de perda tanto no presente como no futuro em função das complicações da doença. A partir desses resultados recomenda-se que os pais recebam atendimento de uma equipe multidisciplinar com conhecimento específico e com a finalidade de informar sobre a doença e aplacar os medos e inseguranças que criam obstáculos para a adesão ao tratamento. Espera-se com este tipo de atendimento melhorar e a qualidade de vida do paciente e de sua família.

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Objective: To evaluate baseline risk factors for coronary artery disease in patients with type 2 diabetes mellitus.

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Objective: To evaluate the impact of the revised diagnostic criteria for diabetes mellitus adopted by the American Diabetes Association on prevalence of diabetes and on classification of patients. For epidemiological purposes the American criteria use a fasting plasma glucose concentration ⩾7.0 mmol/l in contrast with the current World Health Organisation criteria of 2 hour glucose concentration ⩾11.1 mmol/l.