Factors associated with diabetes in tuberculosis patients in Harris County, Texas 1995--2004

Objective. To determine the prevalence and factors associated with diabetes in tuberculosis patients in Harris County, Texas. ^ Background. Tuberculosis and diabetes mellitus are two diseases of immense public health significance. Various epidemiologic studies have established an association between the two conditions. While many studies have identified factors associated with the conditions individually, few have looked at factors associated with their co-occurrence particularly in the United States. Furthermore, most of those studies are hospital-based and may not be representative of the population. The aim of this study was to determine the prevalence and distribution of diabetes among tuberculosis patients in Harris County, Texas and to identify the factors associated with diabetes in tuberculosis. ^ Methods. A population-based case control study was performed using secondary data from the Houston Tuberculosis Initiative (HTI) collected from October 1995 to September 2004. Socio-demographic characteristics and clinical variables were compared between tuberculosis patients with diabetes and non-diabetic tuberculosis patients. Logistic regression analysis was performed to identify associations. Survival at 180 days post tuberculosis diagnosis was assessed by Cox regression. ^ Results. The prevalence of diabetes among the tuberculosis (TB) population was 14.4%. The diabetics (cases) with a mean age 53 ± 13.3 years were older than the non-diabetics (controls) with a mean age of 39 ± 18.5 years (p<0.001). Socio-demographic variables that were independently associated with the risk of diabetes were age (OR 1.04, p<0.001) and Hispanic ethnicity (OR 2.04, p<0.001). Diabetes was associated with an increased risk of pulmonary tuberculosis disease (OR 1.33, p<0.028). Among individuals with pulmonary TB, diabetes was associated with positive sputum acid-fast bacilli (AFB) smear (OR 1.47, p<0.005) and culture (OR 1.83, p<0.018). Diabetics were more likely to have cavitary lung disease than non-diabetics (OR 1.50, p<0.002). After adjustment for age and HIV status, the risk of dying within 180 days of TB diagnosis was significantly increased in the diabetics (HR 1.51, p<0.002). ^ Conclusion. Diabetes mellitus was more prevalent in our tuberculosis patients than in the general population. The tuberculous diabetic may be more infectious and has a higher risk of death. It is therefore imperative to screen diabetics for TB and TB patients for diabetes. ^

Burden of diabetes in cancer inpatients

Inpatient hyperglycemia has been shown to be associated with higher morbidity and mortality. Treatment of inpatient hyperglycemia reduces morbidity and mortality at least in the intensive care unit. Burden and severity of hyperglycemia in an inpatient population of a cancer center is not known. The study is a secondary analysis of the primary study 'Prevalence of Diabetes in cancer inpatient'. Finger-stick glucose concentration and pharmacy data were collected prospectively for all hospitalizations to a large cancer center. Demographic, clinical and laboratory data were collected in a retrospective fashion. Between May 1 and July 31, 2006; 3,940 patients were admitted 5,489 times. Prior to their first admissions, 920(23.4%) of the 3940 patients had unrecognized or recognized hyperglycemia. Glucose was never tested during 1714 (31.8%) hospitalizations, including 170 (12%) of the 1414 admissions of the 920 patients with previous hyperglycemia, and, 109 (58%) of 188 patients who were not tested for glucose prior to their index admissions. Overall, sustained significant hyperglycemia (>= 200 mg/dL on two separate days) was present in 765 (13.9%). Antidiabetic treatment was dispensed in 1168 (21.3%), though 627 (53.7%) of these received only short/rapid acting insulin, and, 951 (17.3%)diabetes code before and in another 80 (1.5%) during stay in hospital, out of total 5489 admissions. Therefore diabetes mellitus or hyperglycemia affected 1525 (27.8%) out of all admissions and coding alone as a criterion for diagnosis of hyperglycemia would have underreported it by 32%. Hyperglycemia occurred more commonly during hospitalization of patients with older age, males, ethnic minorities, advanced malignancies, and those receiving glucocorticoids, parenteral nutrition, and those who had a past history of coding for diabetes or past hyperglycemia, but not in those with the cancers reported to be associated with diabetes mellitus. Of the recognized diabetics half had sustained significant hyperglycemia and 10% had three quarters glucoses tested above 180 mg/dL. To conclude, diabetes affects at least 27.8% of inpatients at our cancer center. Coding for diabetes significantly underreports the burden of the disease. Significant sustained hyperglycemia of >=200 mg/dL among inpatients at a cancer center is common, under-recognized, and either untreated or inadequately treated with suboptimal glycemic control. The implications of hyperglycemia in cancer inpatient populations need further investigations. Fasting serum or plasma glucose should be checked routinely for every patient admitted to a cancer hospital, to recognize and treat hyperglycemia as clinically appropriate.^

Does diabetes mellitus contribute to the disease burden of vascular dementia?

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.^

Cardiovascular disease risk factors in Hispanic children identified through a diabetic proband

Prevalence and mortality rates for non-insulin dependent (Type II) diabetes mellitus are two to five times greater in the Mexican-American population than in the general U.S. population. Diabetes has been associated with risk factors which increases the likelihood of developing atherosclerosis. Relatives of noninsulin dependent diabetic probands are at increased risk of developing diabetes; and offspring of diabetic parents are at greater risk. Elevation in risk factor levels clearly began to develop prior to adulthood. Therefore an excess of these risk factors are expected among offspring and relatives of diabetics.^ The purposes of this study were to describe levels of risk factors within a group of Mexican American children who were identified through a diabetic proband, and to determine if there was a relationship between risk factor levels and heritability. Data from three hundred and seventy-six children and adolescents between the ages of 7 and 13 years, inclusively, were analyzed. These children were identified through a diabetic proband who participated in the Diabetes Alert Study. This study group was compared to a representative sample of Mexican American children, who participated in the Hispanic Health and Nutrition Examination Survey.^ For females, there were statistically significant associations between upper body fat distribution and increased systolic and diastolic blood pressure after adjusting for age and measures of fatness. Body mass index was positively related to and explained a significant portion of the variability in systolic blood pressure, total cholesterol, and HDL-cholesterol, for males only. No relationship was found between degree of relationship to the diabetic proband and risk factor levels. The most likely explanations for this were insufficient sample size to detect differences, and/or incomplete ascertainment of pedigree information.^ Although there was evidence that these Mexican American children are fatter and have more central fat distribution than non-Hispanic children, there is no evidence of increased risk for diabetes and/or cardiovascular disease at these ages. ^

Ethnicity as a risk factor for diabetes incidence in a population of diagnosed hypertensives

Significant racial/ethnic differences exist in prevalence of hypertension (HTN) and non-insulin dependent diabetes mellitus (NIDDM). Hypertension is more common in diabetics than in non-diabetics, and an etiologic link between the two conditions has been proposed. Since there are few longitudinal studies of persons with both HTN and NIDDM, a retrospective cohort study was conducted to determine if ethnicity (Black, Hispanic (Mexican-American), and non-Hispanic White) was related to NIDDM incidence in a low-SES, multi-ethnic clinic population of diagnosed hypertensives. Two thousand nine hundred forty-one hypertensives free of NIDDM at baseline were followed for up to 10 years. Mean baseline age was 56 $\pm$ 12 years, M:F percent was 33:67, and Black:Hispanic:White percent was 63:17:20. There were 236 incident cases of NIDDM. In Cox proportional hazards analysis, the risk of developing NIDDM over 10 years was not related to ethnicity after controlling for significant covariates, including age, baseline blood glucose and body mass index (adjusted RR for Blacks compared to Whites =.82, 95 percent CI =.57-1.18; adjusted RR for Hispanics compared to Whites =.84, 95 percent CI =.51-1.38). This result contrasts with the increased risk of NIDDM among Blacks and Hispanics compared to Whites found in the general population. The study suggests that a diagnosis of hypertension equalizes the risk of developing NIDDM among the three ethnic groups. ^

DIABETIC RETINOPATHY IN NON-INSULIN-DEPENDENT DIABETES MELLITUS IN BLACK WOMEN: A DESCRIPTIVE STUDY OF RISK FACTORS

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. ^

Tuberculosis in persons with concomittant diseases in Houston, Texas, 2004 to 2008

The purpose of this study is to evaluate characteristics of tuberculosis (TB) in diabetics and persons infected with HIV from 2004 to 2008 in Houston, Texas. This analysis will allow us to identify demographic trends. Previous studies have shown that in general, there is a higher risk for HIV+ persons to develop active TB, or to re-activate latent TB, as they progress in their HIV infection. In addition, similar to HIV, diabetes mellitus (DM) weakens the immune system so that persons with DM have also been shown to have a tendency to develop TB. This analysis will examine three areas of research: (a) to explore existing TB trends in Houston/Harris County and associated characteristics, (b) to ascertain the common risk factors of DM and HIV that are correlate with TB infections, and (c) from the analysis of the data, to determine if subsequent TB prevention programs are needed for specific subgroups.^

Necesidades educativas para el autocuidado de pacientes con DBT Mellitus tipo 2 que asisten el Hospital Dr. Eugenio Collado de la localidad de Unión, San Luis

La diabetes es un trastorno que por su naturaleza crónica, acompaña a su portador a lo largo de toda la vida; es por esto que el paciente diabético requiere de una amplia gama de información que le permita tomar las riendas de su propio tratamiento, para así controlar en gran manera su futura evolución clínica. El presente estudio tiene como objetivos: determinar el conocimiento que tienen sobre su enfermedad los pacientes con diabetes tipo 2; identificar el conocimiento que tienen los pacientes con respecto a su tratamiento y evaluar el conocimiento que tienen los pacientes en relación a su autocuidado.

A Mobile Feedback System for Integrated E-health Platforms to improve Self-Care and Compliance of Diabetes Mellitus Patients

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

Parallel workflows to personalize clinical guidelines recommendations: application to gestational diabetes mellitus

The MobiGuide system provides patients with personalized decision support tools, based on computerized clinical guidelines, in a mobile environment. The generic capabilities of the system will be demonstrated applied to the clinical domain of Gestational Diabetes (GD). This paper presents a methodology to identify personalized recommendations, obtained from the analysis of the GD guideline. We added a conceptual parallel part to the formalization of the GD guideline called "parallel workflow" that allows considering patient?s personal context and preferences. As a result of analysing the GD guideline and eliciting medical knowledge, we identified three different types of personalized advices (therapy, measurements and upcoming events) that will be implemented to perform patients? guiding at home, supported by the MobiGuide system. These results will be essential to determine the distribution of functionalities between mobile and server decision support capabilities.

Extracción de conocimientos de la diabetes tipo 1 utilizando la metodología de "Data Mining"

La diabetes mellitus es un trastorno en la metabolización de los carbohidratos, caracterizado por la nula o insuficiente segregación de insulina (hormona producida por el páncreas), como resultado del mal funcionamiento de la parte endocrina del páncreas, o de una creciente resistencia del organismo a esta hormona. Esto implica, que tras el proceso digestivo, los alimentos que ingerimos se transforman en otros compuestos químicos más pequeños mediante los tejidos exocrinos. La ausencia o poca efectividad de esta hormona polipéptida, no permite metabolizar los carbohidratos ingeridos provocando dos consecuencias: Aumento de la concentración de glucosa en sangre, ya que las células no pueden metabolizarla; consumo de ácidos grasos mediante el hígado, liberando cuerpos cetónicos para aportar la energía a las células. Esta situación expone al enfermo crónico, a una concentración de glucosa en sangre muy elevada, denominado hiperglucemia, la cual puede producir a medio o largo múltiples problemas médicos: oftalmológicos, renales, cardiovasculares, cerebrovasculares, neurológicos… La diabetes representa un gran problema de salud pública y es la enfermedad más común en los países desarrollados por varios factores como la obesidad, la vida sedentaria, que facilitan la aparición de esta enfermedad. Mediante el presente proyecto trabajaremos con los datos de experimentación clínica de pacientes con diabetes de tipo 1, enfermedad autoinmune en la que son destruidas las células beta del páncreas (productoras de insulina) resultando necesaria la administración de insulina exógena. Dicho esto, el paciente con diabetes tipo 1 deberá seguir un tratamiento con insulina administrada por la vía subcutánea, adaptado a sus necesidades metabólicas y a sus hábitos de vida. Para abordar esta situación de regulación del control metabólico del enfermo, mediante una terapia de insulina, no serviremos del proyecto “Páncreas Endocrino Artificial” (PEA), el cual consta de una bomba de infusión de insulina, un sensor continuo de glucosa, y un algoritmo de control en lazo cerrado. El objetivo principal del PEA es aportar al paciente precisión, eficacia y seguridad en cuanto a la normalización del control glucémico y reducción del riesgo de hipoglucemias. El PEA se instala mediante vía subcutánea, por lo que, el retardo introducido por la acción de la insulina, el retardo de la medida de glucosa, así como los errores introducidos por los sensores continuos de glucosa cuando, se descalibran dificultando el empleo de un algoritmo de control. Llegados a este punto debemos modelar la glucosa del paciente mediante sistemas predictivos. Un modelo, es todo aquel elemento que nos permita predecir el comportamiento de un sistema mediante la introducción de variables de entrada. De este modo lo que conseguimos, es una predicción de los estados futuros en los que se puede encontrar la glucosa del paciente, sirviéndonos de variables de entrada de insulina, ingesta y glucosa ya conocidas, por ser las sucedidas con anterioridad en el tiempo. Cuando empleamos el predictor de glucosa, utilizando parámetros obtenidos en tiempo real, el controlador es capaz de indicar el nivel futuro de la glucosa para la toma de decisones del controlador CL. Los predictores que se están empleando actualmente en el PEA no están funcionando correctamente por la cantidad de información y variables que debe de manejar. Data Mining, también referenciado como Descubrimiento del Conocimiento en Bases de Datos (Knowledge Discovery in Databases o KDD), ha sido definida como el proceso de extracción no trivial de información implícita, previamente desconocida y potencialmente útil. Todo ello, sirviéndonos las siguientes fases del proceso de extracción del conocimiento: selección de datos, pre-procesado, transformación, minería de datos, interpretación de los resultados, evaluación y obtención del conocimiento. Con todo este proceso buscamos generar un único modelo insulina glucosa que se ajuste de forma individual a cada paciente y sea capaz, al mismo tiempo, de predecir los estados futuros glucosa con cálculos en tiempo real, a través de unos parámetros introducidos. Este trabajo busca extraer la información contenida en una base de datos de pacientes diabéticos tipo 1 obtenidos a partir de la experimentación clínica. Para ello emplearemos técnicas de Data Mining. Para la consecución del objetivo implícito a este proyecto hemos procedido a implementar una interfaz gráfica que nos guía a través del proceso del KDD (con información gráfica y estadística) de cada punto del proceso. En lo que respecta a la parte de la minería de datos, nos hemos servido de la denominada herramienta de WEKA, en la que a través de Java controlamos todas sus funciones, para implementarlas por medio del programa creado. Otorgando finalmente, una mayor potencialidad al proyecto con la posibilidad de implementar el servicio de los dispositivos Android por la potencial capacidad de portar el código. Mediante estos dispositivos y lo expuesto en el proyecto se podrían implementar o incluso crear nuevas aplicaciones novedosas y muy útiles para este campo. Como conclusión del proyecto, y tras un exhaustivo análisis de los resultados obtenidos, podemos apreciar como logramos obtener el modelo insulina-glucosa de cada paciente. ABSTRACT. The diabetes mellitus is a metabolic disorder, characterized by the low or none insulin production (a hormone produced by the pancreas), as a result of the malfunctioning of the endocrine pancreas part or by an increasing resistance of the organism to this hormone. This implies that, after the digestive process, the food we consume is transformed into smaller chemical compounds, through the exocrine tissues. The absence or limited effectiveness of this polypeptide hormone, does not allow to metabolize the ingested carbohydrates provoking two consequences: Increase of the glucose concentration in blood, as the cells are unable to metabolize it; fatty acid intake through the liver, releasing ketone bodies to provide energy to the cells. This situation exposes the chronic patient to high blood glucose levels, named hyperglycemia, which may cause in the medium or long term multiple medical problems: ophthalmological, renal, cardiovascular, cerebrum-vascular, neurological … The diabetes represents a great public health problem and is the most common disease in the developed countries, by several factors such as the obesity or sedentary life, which facilitate the appearance of this disease. Through this project we will work with clinical experimentation data of patients with diabetes of type 1, autoimmune disease in which beta cells of the pancreas (producers of insulin) are destroyed resulting necessary the exogenous insulin administration. That said, the patient with diabetes type 1 will have to follow a treatment with insulin, administered by the subcutaneous route, adapted to his metabolic needs and to his life habits. To deal with this situation of metabolic control regulation of the patient, through an insulin therapy, we shall be using the “Endocrine Artificial Pancreas " (PEA), which consists of a bomb of insulin infusion, a constant glucose sensor, and a control algorithm in closed bow. The principal aim of the PEA is providing the patient precision, efficiency and safety regarding the normalization of the glycemic control and hypoglycemia risk reduction". The PEA establishes through subcutaneous route, consequently, the delay introduced by the insulin action, the delay of the glucose measure, as well as the mistakes introduced by the constant glucose sensors when, decalibrate, impede the employment of an algorithm of control. At this stage we must shape the patient glucose levels through predictive systems. A model is all that element or set of elements which will allow us to predict the behavior of a system by introducing input variables. Thus what we obtain, is a prediction of the future stages in which it is possible to find the patient glucose level, being served of input insulin, ingestion and glucose variables already known, for being the ones happened previously in the time. When we use the glucose predictor, using obtained real time parameters, the controller is capable of indicating the future level of the glucose for the decision capture CL controller. The predictors that are being used nowadays in the PEA are not working correctly for the amount of information and variables that it need to handle. Data Mining, also indexed as Knowledge Discovery in Databases or KDD, has been defined as the not trivial extraction process of implicit information, previously unknown and potentially useful. All this, using the following phases of the knowledge extraction process: selection of information, pre- processing, transformation, data mining, results interpretation, evaluation and knowledge acquisition. With all this process we seek to generate the unique insulin glucose model that adjusts individually and in a personalized way for each patient form and being capable, at the same time, of predicting the future conditions with real time calculations, across few input parameters. This project of end of grade seeks to extract the information contained in a database of type 1 diabetics patients, obtained from clinical experimentation. For it, we will use technologies of Data Mining. For the attainment of the aim implicit to this project we have proceeded to implement a graphical interface that will guide us across the process of the KDD (with graphical and statistical information) of every point of the process. Regarding the data mining part, we have been served by a tool called WEKA's tool called, in which across Java, we control all of its functions to implement them by means of the created program. Finally granting a higher potential to the project with the possibility of implementing the service for Android devices, porting the code. Through these devices and what has been exposed in the project they might help or even create new and very useful applications for this field. As a conclusion of the project, and after an exhaustive analysis of the obtained results, we can show how we achieve to obtain the insulin–glucose model for each patient.

CONVICÇÕES DE SAÚDE DE PAIS DE CRIANÇAS PORTADORAS DE DIABETES MELLITUS TIPO 1

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.

CONVICÇÕES DE SAÚDE DE PAIS DE CRIANÇAS PORTADORAS DE DIABETES MELLITUS TIPO 1

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.

Risk factors for coronary artery disease in non-insulin dependent diabetes mellitus: United Kingdom prospective diabetes study (UKPDS: 23)

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

Will new diagnostic criteria for diabetes mellitus change phenotype of patients with diabetes? Reanalysis of European epidemiological data

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.