| 1. |
- Hage, Camilla, et al.
(författare)
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The predictive value of inflammatory activity and markers of the adipo-insular axis on restenosis in patients with type 2 diabetes.
- 2011
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Ingår i: Diabetes & Vascular Disease Research. - : SAGE Publications. - 1752-8984 .- 1479-1641. ; 8:2, s. 143-149
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Tidskriftsartikel (refereegranskat)abstract
- Aims: Patients with type 2 diabetes (T2DM) have a high restenosis rate after percutaneous coronary intervention (PCI). This study investigated whether markers of inflammation and the adipo-insular axis associated with T2DM and poor metabolic control were able to predict restenosis after PCI in T2DM patients. Methods and results: The predictive value of traditional and non-traditional risk markers, including IL-1β, IL-6, TNF-α, hsCRP, interferon gamma, leptin, IGF-I, insulin, proinsulin and NT-proBNP, was investigated in 82 patients with T2DM. A re-angiography 6 months after the index percutaneous coronary intervention (PCI) revealed that 43% of the patients had a restenosis. In a multiple regression analysis, the only independent predictors of restenosis were fasting glucose before the PCI and previous myocardial infarction (odds ratio [OR] 1.44, 95% confidence interval [CI] 1.07—1.92; p = 0.015 and OR 8.00, 95% CI 2.49—25.67; p ≤ 0.001, respectively). None of the other markers remained as significant predictors. Conclusion: Fasting glucose prior to the PCI was an independent predictor of restenosis in patients with T2DM while analyses of a variety of markers related to inflammation and the adipo-insular axis did not add any further information.
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| 2. |
- Malmberg, Gunnar, 1957-, et al.
(författare)
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Longitudinal data for interdisciplinary ageing research. Design of the Linnaeus Database
- 2010
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Ingår i: Scandinavian Journal of Public Health. - : SAGE Publications. - 1403-4948 .- 1651-1905. ; 38:7, s. 761-767
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Tidskriftsartikel (refereegranskat)abstract
- Rationale: To allow for interdisciplinary research on the relations between socioeconomic conditions and health in the ageing population, a new anonymized longitudinal database - the Linnaeus Database - has been developed at the Centre for Population Studies at Umea University. This paper presents the database and its research potential. Design: Using the Swedish personal numbers the researchers have, in collaboration with Statistics Sweden and the National Board for Health and Welfare, linked individual records from Swedish register data on death causes, hospitalization and various socioeconomic conditions with two databases - Betula and VIP (Vasterbottens Intervention Programme) - previously developed by the researchers at Umea University. Whereas Betula includes rich information about e. g. cognitive functions, VIP contains information about e. g. lifestyle and health indicators. Population and sample size: The Linnaeus Database includes annually updated socioeconomic information from Statistics Sweden registers for all registered residents of Sweden for the period 1990 to 2006, in total 12,066,478. The information from the Betula includes 4,500 participants from the city of Umea and VIP includes data for almost 90,000 participants. Both datasets include cross-sectional as well as longitudinal information. Potential: Due to the coverage and rich information, the Linnaeus Database allows for a variety of longitudinal studies on the relations between, for instance, socioeconomic conditions, health, lifestyle, cognition, family networks, migration and working conditions in ageing cohorts. Conclusions: By joining various datasets developed in different disciplinary traditions new possibilities for interdisciplinary research on ageing emerge.
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| 3. |
- Nordenskjöld, Richard, et al.
(författare)
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Intracranial volume estimated with commonly used methods could introduce bias in studies including brain volume measurements
- 2013
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Ingår i: NeuroImage. - : Elsevier BV. - 1053-8119 .- 1095-9572. ; 83, s. 355-360
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Tidskriftsartikel (refereegranskat)abstract
- In brain volumetric studies, intracranial volume (ICV) is often used as an estimate of pre-morbid brain size as well as to compensate for inter-subject variations in head size. However, if the estimated ICV is biased by for example gender or atrophy, it could introduce errors in study results. To evaluate how two commonly used methods for ICV estimation perform, computer assisted reference segmentations were created and evaluated. Segmentations were created for 399 MRI volumes from 75-year-old subjects, with 53 of these subjects having an additional scan and segmentation created at age 80. ICV estimates from Statistical Parametric Mapping (SPM, version 8) and Freesurfer (FS, version 5.1.0) were compared to the reference segmentations, and bias related to skull size (approximated with the segmentation measure), gender or atrophy were tested for. The possible ICV related effect on associations between normalized hippocampal volume and factors gender, education and cognition was evaluated by normalizing hippocampal volume with different ICV measures. Excellent agreement was seen for inter- (r=0.999) and intra- (r=0.999) operator reference segmentations. Both SPM and FS overestimated ICV. SPM showed bias associated with gender and atrophy while FS showed bias dependent on skull size. All methods showed good correlation between time points in the longitudinal data (reference: 0.998, SPM: 0.962, FS: 0.995). Hippocampal volume showed different associations with cognition and gender depending on which ICV measure was used for hippocampal volume normalization. These results show that the choice of method used for ICV estimation can bias results in studies including brain volume measurements.
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| 4. |
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| 5. |
- Norhammar, Anna, et al.
(författare)
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Under utilisation of evidence-based treatment partially explains for the unfavourable prognosis in diabetic patients with acute myocardial infarction
- 2003
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Ingår i: European Heart Journal. - 0195-668X .- 1522-9645. ; 24:9, s. 838-844
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Tidskriftsartikel (refereegranskat)abstract
- Aims: The prognosis after an acute myocardial infarction is worse for patients with diabetes mellitus than for those without. We investigated whether differences in the use of evidence-based treatment may contribute to the differences in 1-year survival in a large cohort of consecutive acute myocardial infarction patients with and without diabetes mellitus. Methods: We included patients below the age of 80 years from the Register of Information and Knowledge about Swedish Heart Intensive care Admissions (RIKS-HIA), which included all patients admitted to coronary care units at 58 hospitals during 1995-1998. In all 5193 patients had the combination of acute myocardial infarction and diabetes mellitus while 20 440 had myocardial infarction but no diabetes diagnosed. Multivariate logistical regression analyses were performed to evaluate the influence of diabetes mellitus on the use of evidence-based treatment and its association with survival during the first year after the index hospitalisation. Results: The prevalence of diabetes mellitus was 20.3% (males 18.5%, females 24.4%). The 1-year mortality was substantially higher among diabetic patients compared with those without diabetes mellitus (13.0 vs. 22.3% for males and 14.4 vs. 26.1% for female patients, respectively) with an odds ratio (OR) (95% confidence interval (CI)) in three different age groups: <65 years 2.65 (2.23-3.16), 65-74 years 1.81 (1.61-2.04) and >75 years 1.71 (1.50-1.93). During hospital stay patients with diabetes mellitus received significantly less treatment with heparins (37 vs. 43%, p<0.001), intravenous beta blockade (29 vs. 33%, p<0.001), thrombolysis (31 vs. 41%, p<0.001) and acute revascularisation (4 vs. 5%, p<0.003). A similar pattern was apparent at hospital discharge. After multiple adjustments for dissimilarities in baseline characteristics between the two groups, patients with diabetes were significantly less likely to be treated with reperfusion therapy (OR 0.83), heparins (OR 0.88), statins (OR 0.88) or to be revascularised within 14 days from hospital discharge procedures (OR 0.86) while the use of ACE-inhibitors was more prevalent among diabetic patients compared to non-diabetic patients (OR 1.45). The mortality reducing effects of evidence-based treatment like reperfusion, heparins, aspirin, beta-blockers, lipid-lowering treatment and revascularisation were, in multivariate analyses, of equal benefit in diabetic and non-diabetic patients. Interpretation: Diabetes mellitus continues to be a major independent predictor of 1-year mortality following an acute myocardial infarction, especially in younger age groups. This may partly be explained by less use of evidence-based treatment although treatment benefits are similar in both patients with and without diabetes mellitus. Thus a more extensive use of established treatment has a potential to improve the poor prognosis among patients with acute myocardial infarction and diabetes mellitus.
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| 6. |
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| 7. |
- Schneider, Edith, et al.
(författare)
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MicroRNA-155 is a direct target of Meis1, but not a driver in acute myeloid leukemia.
- 2018
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Ingår i: Haematologica. - : Ferrata Storti Foundation (Haematologica). - 1592-8721 .- 0390-6078. ; 103, s. 246-255
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Tidskriftsartikel (refereegranskat)abstract
- MicroRNA-155 (miR-155) is one of the first described oncogenic miRNAs. Although multiple direct targets of miR-155 have been identified, it is not clear how it contributes to the pathogenesis of acute myeloid leukemia. We found miR-155 to be a direct target of Meis1 in murine Hoxa9/Meis1 induced acute myeloid leukemia. The additional overexpression of miR 155 accelerated the formation of acute myeloid leukemia in Hoxa9 as well as in Hoxa9/Meis1 cells in vivo. However, in the absence or after the removal of miR-155, leukemia onset and progression were unaffected. Although, miR-155 accelerated growth and homing as well as impaired differentiation, our data underscore the pathophysiological relevance of miR 155 as an accelerator rather than a driver of leukemogenesis. This further highlights the complexity of the oncogenic program of Meis1 to compensate for the loss of a potent oncogene such as miR-155. These findings are highly relevant to current and developing approaches for targeting miR-155 in acute myeloid leukemia.
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| 8. |
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| 9. |
- Strand, Robin, 1978-, et al.
(författare)
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A concept for holistic whole body MRI data analysis, Imiomics
- 2017
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Ingår i: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 12:2
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: To present and evaluate a whole-body image analysis concept, Imiomics (imaging omics) and an image registration method that enables Imiomics analyses by deforming all image data to a common coordinate system, so that the information in each voxel can be compared between persons or within a person over time and integrated with non-imaging data.Methods: The presented image registration method utilizes relative elasticity constraints of different tissue obtained from whole-body water-fat MRI. The registration method is evaluated by inverse consistency and Dice coefficients and the Imiomics concept is evaluated by example analyses of importance for metabolic research using non-imaging parameters where we know what to expect. The example analyses include whole body imaging atlas creation, anomaly detection, and cross-sectional and longitudinal analysis.Results: The image registration method evaluation on 128 subjects shows low inverse consistency errors and high Dice coefficients. Also, the statistical atlas with fat content intensity values shows low standard deviation values, indicating successful deformations to the common coordinate system. The example analyses show expected associations and correlations which agree with explicit measurements, and thereby illustrate the usefulness of the proposed Imiomics concept.Conclusions: The registration method is well-suited for Imiomics analyses, which enable analyses of relationships to non-imaging data, e.g. clinical data, in new types of holistic targeted and untargeted big-data analysis.
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| 10. |
- Strand, Robin, 1978-, et al.
(författare)
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Holistic whole-body MRI image analysis
- 2016
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Ingår i: Symposium of the Swedish Society for Automated Image Analysis, Uppsala, Sweden, (SSBA).
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)
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