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Träfflista för sökning "L773:1935 5548 ;pers:(Zethelius Björn)"

Sökning: L773:1935 5548 > Zethelius Björn

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1.
  • Butwicka, Agnieszka, et al. (författare)
  • Risks of psychiatric disorders and suicide attempts in children and adolescents with type 1 diabetes : a population-based cohort study
  • 2015
  • Ingår i: Diabetes Care. - Stockholm : Karolinska Institutet, Dept of Medical Epidemiology and Biostatistics. - 0149-5992 .- 1935-5548.
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: To assess the risk of psychiatric disorders and suicide attempts in children with type 1 diabetes and their healthy siblings. Research Design and Methods: We performed a population-based case cohort study of individuals born in Sweden between 1973 and 2009. Children with type 1 diabetes (n=17,122) and their healthy siblings (n=18,847) were identified and followed until their 18th birthday. Their risk of psychiatric disorders was compared with matched controls. Results: The risk of psychiatric morbidity in children with type 1 diabetes compared to the general population was tripled within 6 months after the onset of diabetes (hazard ratio, HR 3.0, 95% confidence interval, CI 2.7-3.4) and doubled within the total observation period (HR 2.1, CI 2.0-2.2). An increased risk was noted in suicide attempts (HR 1.7, CI 1.4-2.0) and in most categories of psychiatric disorders. The risk of psychiatric disorders in probands declined from HR 2.7 (CI 2.2-3.3) for those in the cohort born 1973-1986 to 1.9 (CI 1.8-2.0) in those born 1997-2009. The risk for any psychiatric disorders among siblings of patients with type 1 diabetes was estimated to be HR 1.1 (CI 1.0-1.1) and there was no increased risk in any of the specific category of disorders. Conclusions: Children with type 1 diabetes are at high risk of psychiatric disorders, which seems to be a consequence of the disease rather than due to a common familial etiology. The results support recommendations on comprehensive mental health surveillance in children with type 1 diabetes, especially in recently diagnosed children.
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2.
  • Cederholm, Jan, et al. (författare)
  • Risk prediction of cardiovascular disease in type 2 diabetes : A risk equation from the Swedish National Diabetes Register (NDR)
  • 2008
  • Ingår i: Diabetes Care. - : American Diabetes Association. - 0149-5992 .- 1935-5548. ; 31:10, s. 2038-2043
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVE - Risk prediction models obtained in samples from the general population do mot perform well in type 2 diabetic patients. Recently, 5-year risk estimates were proposed as being more accurate than 10-year risk estimates. This study presents a diabetes-specific equation for estimation of the absolute 5-year risk of first incident fatal/nonfatal cardiovascular disease (CVD) in type 2 diabetic patients with the use of A1C and clinical characteristics.RESEARCH DESIGN AND METHODS - The study was based on 11,646 female and male patients, aged 18-70 years, from the Swedish National Diabetes Register with 1,482 first incident CVD events based on 58,342 person-years with mean follow-up) of 5.64 years.RESULTS - This risk equation incorporates A1C, as in the UK Prospective Diabetes Study risk engine, and several clinical characteristics: onset age of diabetes, diabetes duration, sex, BMI, smoking, systolic blood pressure, and antihypertensive and lipid-reducing drugs. All predictors included were associated with the Outcome (P < 0.0001, except for BMI P = 0.0016) with Cox regression analysis. Calibration was excellent when assessed by comparing observed and predicted risk. Discrimination was sufficient, with a receiver operator curve statistic of 0.70. Mean 5-year risk of CVD in all patients was 12.0 +/- 7.5%, whereas 54% of the patients had a 5-year risk >= 10%.CONCLUSIONS - This more simplified risk equation enables 5-year risk prediction of CVD based on easily available nonlaboratory predictors in clinical practice and A1C and was elaborated in a large observational study obtained from the normal patient population aged up to 70 years.
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4.
  • Eliasson, Björn, 1959, et al. (författare)
  • Clinical Usefulness of Different Lipid Measures for Prediction of Coronary Heart Disease in Type 2 Diabetes: A report from the Swedish National Diabetes Register.
  • 2011
  • Ingår i: Diabetes care. - : American Diabetes Association. - 1935-5548 .- 0149-5992. ; 34:9, s. 2095-2100
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVE We assessed the association between different blood lipid measures and risk of fatal/nonfatal coronary heart disease (CHD). RESEARCH DESIGN AND METHODS We conducted an observational study of patients with type 2 diabetes from the Swedish National Diabetes Register. Baseline LDL cholesterol, non-HDL cholesterol, ratio of non-HDL to HDL cholesterol (non-HDL:HDL), and ratio of triacylglycerol to HDL cholesterol (TG:HDL) was measured in 18,673 patients aged 30-70 years, followed for a mean of 4.8 years from 2003 to 2007. RESULTS Hazard ratios (HRs) for CHD per 1-SD increment in lipid measures were 1.23 with non-HDL:HDL, 1.20 with non-HDL cholesterol, 1.17 with LDL cholesterol, and 1.15 with TG:HDL (all P < 0.001 when adjusted for clinical characteristics and nonlipid risk factors). The best global model fit was found with non-HDL:HDL. When patients within the lowest tertile of a lipid measure were compared with those with all lipid measures within the highest tertile, the adjusted HR for CHD was 0.62 with non-HDL:HDL <3.5 mmol/L, 0.65 with non-HDL cholesterol <3.3 mmol/L, and 0.70 with LDL cholesterol <2.5 mmol/L (all P < 0.001). The lowest tertile of LDL and non-HDL cholesterol corresponded with treatment targets according to U.S. and European guidelines. HRs for CHD were 0.52, 0.62, and 0.66 with the lowest deciles of non-HDL:HDL, non-HDL cholesterol, and LDL cholesterol ≤1.8 mmol/L (all P < 0.001). Mean TG:HDL was considerably lower in patients within the lowest tertile of non-HDL:HDL, 0.82 ± 0.47, than in those within the lowest tertile of LDL cholesterol (<2.5 mmol/L), 1.49 ± 1.03. CONCLUSIONS Non-HDL:HDL had a stronger effect on CHD risk than LDL cholesterol, and low TG:HDL values were more often seen within the lowest non-HDL:HDL tertile than within the lowest LDL cholesterol tertile. LDL cholesterol was not the best predictor of CHD risk in type 2 diabetes.
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5.
  • Hyvärinen, Marjukka, et al. (författare)
  • Hyperglycemia and stroke mortality : comparison between fasting and 2-h glucose criteria
  • 2009
  • Ingår i: Diabetes Care. - : American Diabetes Association. - 0149-5992 .- 1935-5548. ; 32:2, s. 348-354
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVE: We investigated stroke mortality in individuals in different categories of glycemia and compared hazard ratios (HRs) corresponding to a 1-SD increase in 2-h plasma glucose and fasting plasma glucose (FPG) criteria. RESEARCH DESIGN AND METHODS: We examined data from 2-h 75-g oral glucose tolerance tests taken from 13 European cohorts comprising 11,844 (55%) men and 9,862 (45%) women who were followed up for a median of 10.5 years. A multivariate adjusted Cox proportional hazards model was used to estimate HRs for stroke mortality. RESULTS: In men and women without a prior history of diabetes, multivariate adjusted HRs for stroke mortality corresponding to a 1-SD increase in FPG were 1.02 (95% CI 0.83-1.25) and 1.52 (1.22-1.88) and those in 2-h plasma glucose 1.21 (1.06-1.38) and 1.31 (1.06-1.61), respectively. Addition of 2-h plasma glucose to the model with FPG significantly improved prediction of stroke mortality in men (chi2 = 10.12; P = 0.001) but not in women (chi2 = 0.01; P = 0.94), whereas addition of FPG to 2-h plasma glucose improved stroke mortality in women (chi2 = 4.08; P = 0.04) but not in men (chi2 = 3.29; P = 0.07). CONCLUSIONS: Diabetes defined by either FPG or 2-h plasma glucose increases the risk of stroke mortality. In individuals without a history of diabetes, elevated 2-h postchallenge glucose is a better predictor than elevated fasting glucose in men, whereas the latter is better than the former in women.
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6.
  • Lind, P. Monica, et al. (författare)
  • Circulating Levels of Phthalate Metabolites Are Associated With Prevalent Diabetes in the Elderly
  • 2012
  • Ingår i: Diabetes Care. - : American Diabetes Association. - 0149-5992 .- 1935-5548. ; 35:7, s. 1519-1524
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVE-Phthalates are ubiquitous industrial high-volume chemicals known as ligands to peroxisome proliferator activated receptors (PPARs). Because PPAR-gamma agonists modulate insulin sensitivity and are used to treat type 2 diabetes, we investigated whether circulating levels of phthalate metabolites are related to prevalent type 2 diabetes. RESEARCH DESIGN AND METHODS-A total of 1,016 subjects, aged 70 years, were investigated in the Prospective Investigation of the Vasculature in Uppsala Seniors Study. Four phthalate metabolites were detected in almost all participant sera by an API 4000 liquid chromatograph/tandem mass spectrometer. Type 2 diabetes was defined as the use of pharmacological hypoglycemic agents or a fasting plasma glucose >7.0 mmol/L. RESULTS-A total of 114 subjects were shown to have diabetes. Following adjustment for sex, BMI, serum cholesterol and triglycerides, educational level, and smoking and exercise habits, high levels of the phthalate metabolites monomethyl phthalate (MMP) (P < 0.01), monoisobutyl phthalate (MiBP) (P < 0.05), and monoethyl phthalate (MEP) (P < 0.05), but not mono(2-ethylhexyl) phthalate, were associated with an increased prevalence of diabetes. Using the fasting proinsulin to insulin ratio as a marker of insulin secretion and the homeostasis model assessment-insulin resistance index as a marker of insulin resistance, MiBP was mainly related to poor insulin secretion, whereas MEP and MMP mainly were related to insulin resistance. CONCLUSIONS-The findings in this cross-sectional study showed that several phthalate metabolites are related to diabetes prevalence, as well as to markers of insulin secretion and resistance. These findings support the view that these commonly used chemicals might influence major factors that are regulating glucose metabolism in humans at the level of exposure of phthalate metabolites seen in the general elderly population.
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8.
  • Vistisen, Dorte, et al. (författare)
  • Bimodal distribution of glucose is not universally useful for diagnosing diabetes
  • 2009
  • Ingår i: Diabetes Care. - : American Diabetes Association. - 0149-5992 .- 1935-5548. ; 32:3, s. 397-403
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVE: Bimodality in the distribution of glucose has been used to define the cut point for the diagnosis of diabetes. Previous studies on bimodality have primarily been in populations with a high prevalence of type 2 diabetes, including one study in a white Caucasian population. All studies included participants with known diabetes. The aim of this study was to assess whether a bimodal structure is a general phenomenon in fasting plasma glucose (FPG) and 2-h plasma glucose that is useful for deriving a common cut point for diabetes in populations of different origin, both including and excluding known diabetes. RESEARCH DESIGN AND METHODS: The Evaluation of Screening and Early Detection Strategies for Type 2 Diabetes and Impaired Glucose Tolerance (DETECT-2) project is an international collaboration pooling surveys from all continents. These studies include surveys in which plasma glucose was measured during an oral glucose tolerance test; in total, 43 studies (135,383 participants) from 27 countries were included. A mixture of two normal distributions was fitted to plasma glucose levels, and a cut point for normal glycemia was estimated as their intersection. In populations with a biologically meaningful cut point, bimodality was tested for significance. RESULTS: Distributions of FPG and 2-h plasma glucose did not, in general, produce bimodal structures useful for deriving cut points for diabetes. When present, the cut points produced were inconsistent over geographical regions. CONCLUSIONS: Deriving cut points for normal glycemia from distributions of FPG and 2-h plasma glucose does not appear to be suitable for defining diagnostic cut points for diabetes.
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