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Condition: Diabetes Mellitus
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Total 66 results found since Jan 2013.

Predicting the risk of stroke in patients with late-onset epilepsy: A machine learning approach
CONCLUSION: The stroke risk in patients with epilepsy was relatively high and could be predicted based on comorbidities such as diabetes mellitus, hypertension, heart failure, and alcohol dependence. Knowing and addressing these factors may help reduce the risk of stroke in patients with epilepsy.PMID:34325155 | DOI:10.1016/j.yebeh.2021.108211
Source: Epilepsy and Behaviour - July 29, 2021 Category: Neurology Authors: Karel Kostev Tong Wu Yue Wang Kal Chaudhuri Christian Tanislav Source Type: research

Predicting the Risk of Ischemic Stroke in Patients Treated with Novel Oral Anticoagulants: A Machine Learning Approach
Conclusions: The stroke risk in AF patients treated with NOAC could be predicted based on comorbidities like ischemic heart diseases, urinary tract infections, and dementia additionally to age and male sex. Knowing and addressing these factors may help reduce the risk of stroke in this patient population.Neuroepidemiology
Source: Neuroepidemiology - July 21, 2021 Category: Epidemiology Source Type: research

Antithrombotic Treatment for Peripheral Arterial Occlusive Disease
CONCLUSION: Antiplatelet therapy should only be intensified for a limited time, or if the risk of ischemia is high. Before and during intensified antiplatelet therapy, the risk of bleeding should be assessed and weighed against the risk of ischemia. No validated score is available to estimate the risk of hemorrhagic complications in patients with PAOD. New antithrombotic therapies should not be used indiscriminately, but should rather be reserved for selected groups of patients.PMID:33734081 | DOI:10.3238/arztebl.m2021.0157
Source: Deutsches Arzteblatt International - March 18, 2021 Category: General Medicine Authors: David Hardung Andrea Behne Mehmet Boral Carsten Giesche Ralf Langhoff Source Type: research

Redistributing ill-defined causes of death – a case study from the BURDEN 2020-project in Germany
ConclusionThis is the first comprehensive redistribution of IDD using the German cause of death statistics. Performing a redistribution is necessary for burden of disease analyses, otherwise there would be an underreporting of certain causes of death or large numbers of deaths coded to residual or unspecific codes.
Source: Archives of Public Health - March 15, 2021 Category: International Medicine & Public Health Source Type: research

Guideline Adherence and Associated Outcomes in the Treatment of Type 2 Diabetes Mellitus Patients With an Incident Cardiovascular Comorbidity: An Analysis Based on a Large German Claims Dataset
ConclusionOnly a minority of patients with T2DM and an incident CV comorbidity receive a treatment fully adherent with guideline recommendations. This may contribute to high mortality rates in this population in clinical practice.
Source: Diabetes Therapy - March 12, 2021 Category: Endocrinology Source Type: research

Impact of Non-Alcoholic Fatty Liver Disease on Metabolic Comorbidities in Type 2 Diabetes Mellitus
Conclusion The coded prevalence of NAFLD in T2D patients is low, which is in contrast to published series. Enhancing disease awareness of NAFLD and screening recommendations in high risk populations will be beneficial for the active management of these patients. [...] Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, GermanyArticle in Thieme eJournals: Table of contents  |  Abstract  |  Full text
Source: Experimental and Clinical Endocrinology and Diabetes - February 18, 2021 Category: Endocrinology Authors: Labenz, Christian Kostev, Karel Alqahtani, Saleh A. Galle, Peter R. Schattenberg, J örn M. Tags: Article Source Type: research

Excess mortality due to COVID-19 in Germany
SARS-CoV-2 is transmitted by droplets and likely aerosols. The median incubation period is about 5-6 days (range 1-14 days)1 and the median age at confirmed infection in Germany is 49 years. Typical symptoms include fever, cough, anosmia, ageusia, and pneumonia. The mortality rate of COVID-19 is higher among elderly and among ethnicities other than Caucasians. Furthermore, a markedly higher mortality rate has been observed for several comorbidities including obesity class II (BMI 35 •0-39•9 kg/m2) and III (BMI 40•0+ kg/m2), uncontrolled diabetes mellitus, malignancies in the previous year, severely reduced glomerular...
Source: Journal of Infection - September 17, 2020 Category: Infectious Diseases Authors: Andreas Stang, Fabian Standl, Bernd Kowall, Bastian Brune, Juliane B öttcher, Marcus Brinkmann, Ulf Dittmer, Karl-Heinz Jöckel Source Type: research

Performance of the UKPDS Outcomes Model  2 for Predicting Death and Cardiovascular Events in Patients with Type 2 Diabetes Mellitus from a German Population-Based Cohort
ConclusionsThe study results demonstrate acceptable calibration and poor discrimination of the UKPDS-OM2 for predicting death and CV events in this population-based German sample. Those limitations should be considered when using the UKPDS-OM2 for economic evaluations of healthcare strategies or using the risk equations for clinical decision-making.
Source: PharmacoEconomics - July 26, 2019 Category: Health Management Source Type: research

Correlation Between Intracranial Arterial Calcification and Imaging of Cerebral Small Vessel Disease
Conclusion: Intracranial artery calcification is common in patients with ischemic cerebrovascular disease and the intracranial carotid artery is most frequently affected. Intracranial arterial calcifications might be associated with imaging markers of SVD and are highly correlated with WMHs, lacunes, and CMBs. Quantification of calcification on CT provides additional information on the pathophysiology of SVD. Intracranial arterial calcification could act as a potential marker of SVD. Introduction Atherosclerosis is a systemic vascular process that is considered a major cause of cerebrovascular and cardiovascular di...
Source: Frontiers in Neurology - April 30, 2019 Category: Neurology Source Type: research

Impaired Activity of Ryanodine Receptors Contributes to Calcium Mishandling in Cardiomyocytes of Metabolic Syndrome Rats
Conclusion Principal findings of this work are that abnormal Ca2+ transient amplitude, contractile dysfunction; and impaired relaxation of MetS cardiomyocytes underlies intrinsic dysfunctional RyR2 and SERCA pump. Abnormal activity of RyRs was evidenced by its decreased ability to bind [3H]-ryanodine. Although the MetS condition does not modify RyR2 protein expression, its phosphorylation at Ser2814 is decreased, which impairs its capacity for activation during ECC. The dysfunctional RyRs, together with a decreased activity of SERCA pump due to decreased Thr17-PLN phosphorylation suggest a downregulation of CaMKII in MetS...
Source: Frontiers in Physiology - April 29, 2019 Category: Physiology Source Type: research