Search results for " type 2"

showing 10 items of 761 documents

Prediction of type 2 diabetes mellitus based on nutrition data

2021

Abstract Numerous predictive models for the risk of type 2 diabetes mellitus (T2DM) exist, but a minority of them has implemented nutrition data so far, even though the significant effect of nutrition on the pathogenesis, prevention and management of T2DM has been established. Thus, in the present study, we aimed to build a predictive model for the risk of T2DM that incorporates nutrition data and calculates its predictive performance. We analysed cross-sectional data from 1591 individuals from the population-based Cooperative Health Research in the Region of Augsburg (KORA) FF4 study (2013–14) and used a bootstrap enhanced elastic net penalised multivariate regression method in order to bu…

Elastic net regularizationFood intakeMultivariate statistics24HFL 24-h food listEndocrinology Diabetes and MetabolismPopulation030209 endocrinology & metabolismType 2 diabetesLogistic regression03 medical and health sciences0302 clinical medicinePredictive Value of TestsRisk FactorsElastic net regressionPrediction modelGermanyStatisticsmedicineHumans030212 general & internal medicineeducationNutritionMathematicseducation.field_of_studyNutrition and DieteticsReceiver operating characteristicDietary Surveys and Nutritional EpidemiologyType 2 Diabetes MellitusType 2 diabetesT2DM type 2 diabetes mellitusmedicine.diseasePPV positive predictive valueDietROC receiver operating characteristicCross-Sectional StudiesNPV negative predictive valueDiabetes Mellitus Type 2ROC CurveKORA Cooperative Health Research in the Region of Augsburg24hfl 24-h Food List ; Elastic Net Regression ; Kora Cooperative Health Research In The Region Of Augsburg ; Npv Negative Predictive Value ; Nutrition ; Ppv Positive Predictive Value ; Prediction Model ; Roc Receiver Operating Characteristic ; T2dmResearch ArticleFood ScienceJournal of Nutritional Science
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Atherogenic lipoprotein phenotype and LDL size and subclasses in women with gestational diabetes.

2008

AIMS: Women with gestational diabetes are more likely to develop Type 2 diabetes and cardiovascular disease after pregnancy; however, the exact nature of the lipid alterations present is not clear. In Mediterranean women with gestational diabetes, we measured low-density lipoprotein (LDL) size and all seven subclasses, as well as the 'atherogenic-lipoprotein phenotype'[ALP, e.g. concomitant presence of elevated triglycerides, reduced high-density lipoprotein (HDL)-cholesterol and increased small, dense LDL]. METHODS: In 27 women with gestational diabetes and 23 healthy pregnant women matched for age, weeks of gestation and body mass index, we measured plasma lipids and LDL size and subclass…

Electrophoresismedicine.medical_specialtyAtherogenic lipoprotein phenotypeEndocrinology Diabetes and MetabolismPregnancy Complications Cardiovascular10265 Clinic for Endocrinology and Diabetology610 Medicine & healthGestational AgeType 2 diabeteschemistry.chemical_compoundEndocrinologyPregnancyInternal medicineDiabetes mellitusInternal Medicinedense LDL diabetes HDL-cholesterol pregnancy small triglyceridesMedicineHumansTriglyceridesPregnancybusiness.industryCholesterolMediterranean RegionCholesterol HDLGestational agemedicine.disease1310 EndocrinologyGestational diabetesLipoproteins LDL2712 Endocrinology Diabetes and MetabolismDiabetes GestationalEndocrinologyCholesterolchemistryDiabetes Mellitus Type 22724 Internal MedicinePregnancy Trimester SecondFemalelipids (amino acids peptides and proteins)businessBody mass indexDiabetic AngiopathiesLipoprotein
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Liraglutide Improved Cardiometabolic Parameters More in Obese than in Non-obese Patients with Type 2 Diabetes: A Real-World 18-Month Prospective Stud…

2022

Introduction The glucagon-like peptide-1 agonist (GLP1-RA) liraglutide is currently approved for the treatment of both obesity and type 2 diabetes (T2DM). We investigated whether the effect of this agent on cardiometabolic parameters in subjects with T2DM varied in relation to the concomitant presence of obesity. Methods One hundred thirty-five subjects (78 men and 57 women; age: 62 +/- 10 years) naive to incretin-based therapies were treated with low-dose liraglutide (1.2 mg/day) as an add-on to metformin for 18 months. Patients were divided into two subgroups based on their body-mass index (BMI): (a) obese (BMI >= 30) and (b) non-obese (BMI < 30). Clinical and laboratory analyses we…

Endocrinology Diabetes and MetabolismInternal MedicineCardiovascular risk Carotid intima–media thickness GLP-1 Incretins Liraglutide Obesity Type 2 diabetes mellitusDiabetes therapy : research, treatment and education of diabetes and related disorders
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Leisure time physical activity is associated with improved HDL functionality in high cardiovascular risk individuals: a cohort study.

2020

Abstract Aims Physical activity has consistently been shown to improve cardiovascular health and high-density lipoprotein-cholesterol levels. However, only small and heterogeneous studies have investigated the effect of exercise on high-density lipoprotein functions. Our aim is to evaluate, in the largest observational study to date, the association between leisure time physical activity and a range of high-density lipoprotein functional traits. Methods The study sample consisted of 296 Spanish adults at high cardiovascular risk. Usual leisure time physical activity and eight measures of high-density lipoprotein functionality were averaged over two measurements, one year apart. Multivariabl…

EpidemiologyEventsLeisure timephysical activity030204 cardiovascular system & hematologyCohort Studieschemistry.chemical_compound0302 clinical medicineRisk FactorsValidationHigh-density-lipoproteinAmpk0303 health sciencesbiologyCholesterolCardiovascular Diseaseslipids (amino acids peptides and proteins)Cardiology and Cardiovascular MedicineCohort studyAdultlifestyleActivity questionnairemedicine.medical_specialtyHDL functionCardiovascular healthPhysical activity03 medical and health sciencesLeisure ActivitiesInternal medicineCholesterylester transfer proteinmedicineHumansHdl functionalityExercise030304 developmental biologyCholesterolbusiness.industryPhysical activityProteinCholesterol HDLbiomarkersLifestyleHeart-diseaseCholesterol Ester Transfer ProteinschemistryDiabetes Mellitus Type 2Heart Disease Risk Factorsbiology.proteinbusinessBiomarkersEuropean journal of preventive cardiology
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Lifestyle recommendations for the prevention and management of metabolic syndrome: an international panel recommendation.

2017

The importance of metabolic syndrome (MetS) lies in its associated risk of cardiovascular disease and type 2 diabetes, as well as other harmful conditions such as nonalcoholic fatty liver disease. In this report, the available scientific evidence on the associations between lifestyle changes and MetS and its components is reviewed to derive recommendations for MetS prevention and management. Weight loss through an energy-restricted diet together with increased energy expenditure through physical activity contribute to the prevention and treatment of MetS. A Mediterranean-type diet, with or without energy restriction, is an effective treatment component. This dietary pattern should be built …

Estils de vidamedicine.medical_specialtylifestyleSíndrome metabòlica -- PrevencióMedicine (miscellaneous)Dietary pattern030209 endocrinology & metabolismDiseaseType 2 diabetes030204 cardiovascular system & hematologypanel recommendationWhole grains03 medical and health scienceschemistry.chemical_compound0302 clinical medicineWeight lossEnvironmental healthCardiovascular DiseaseNonalcoholic fatty liver diseasemedicineHumansLife StyleMetabolic SyndromeNutrition and Dieteticsbusiness.industryFeature ArticleUnsaturated fatPanel recommendationDietary patternmedicine.diseaseLifestyleDietchemistryDiabetes Mellitus Type 2Cardiovascular DiseasesPhysical therapydietary patternMetabolic syndromemedicine.symptombusinessHuman
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The Role of Physicians' Digital Tools in Pharmacological Management of Type 2 Diabetes Mellitus

2022

Background and Objectives: The constantly increasing prevalence of type 2 diabetes mellitus (T2DM) and the advent of new treatment options have made management of T2DM patients more demanding. We aimed to (a) estimate the familiarity of general practitioners with novel T2DM treatment options, (b) determine whether a digital tool can aid in their treatment decisions and (c) demonstrate that an evidence-based digital clinical support tool can be made using an existing digital platform. Materials and methods: This proof-of-concept study consisted of two parts: We first conducted a simple online survey among general practitioners of three European countries to estimate their familiarity with no…

EuropeDiabetes Mellitus Type 2ItalyPhysiciansHumansGeneral MedicineDPP4 GLP-1 SGLT2 digital tools personalized treatment type 2 diabetesCzech Republic
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Old and new basal insulin formulations: understanding pharmacodynamics is still relevant in clinical practice.

2013

Long-acting insulin analogues have been developed to mimic the physiology of basal insulin secretion more closely than human insulin formulations (Neutral Protamine Hagedorn, NPH). However, the clinical evidence in favour of analogues is still controversial. Although their major benefit as compared with NPH is a reduction in the hypoglycaemia risk, some cost/effectiveness analyses have not been favourable to analogues, largely because of their higher price. Nevertheless, these new formulations have conquered the insulin market. Human insulin represents currently no more than 20% of market share. Despite (in fact because of) the widespread use of insulin analogues it remains critical to anal…

Evidence-Based Medicinebusiness.industryEndocrinology Diabetes and MetabolismBasal insulinInsulinmedicine.medical_treatmentChemistry PharmaceuticalInsulin Short-ActingType 2 diabetesPharmacologymedicine.diseaseClinical PracticeClinical trialInsulin Long-ActingEndocrinologyDiabetes Mellitus Type 1Diabetes Mellitus Type 2Diabetes mellitusPharmacodynamicsInternal MedicinemedicineHumansHypoglycemic AgentsIn patientbusinessDiabetes, obesitymetabolism
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The Co‐mutational Spectrum Determines the Therapeutic Response in Murine FGFR2 Fusion‐Driven Cholangiocarcinoma

2021

Background and aims Intrahepatic cholangiocarcinoma (ICC) is the second most common primary liver cancer and a highly lethal malignancy. Chemotherapeutic options are limited, but a considerable subset of patients harbors genetic lesions for which targeted agents exist. Fibroblast growth factor receptor 2 (FGFR2) fusions belong to the most frequent and therapeutically relevant alterations in ICC, and the first FGFR inhibitor was recently approved for the treatment of patients with progressed, fusion-positive ICC. Response rates of up to 35% indicate that FGFR-targeted therapies are beneficial in many but not all patients. Thus far, no established biomarkers exist that predict resistance or r…

Fetal Proteins0301 basic medicineAntimetabolites AntineoplasticCombination therapymedicine.medical_treatmentFGFR InhibitionVesicular Transport ProteinsCyclic AMP Response Element-Binding Protein Amedicine.disease_causeDeoxycytidineMalignant transformationTargeted therapyCholangiocarcinomaProto-Oncogene Proteins p21(ras)Mice03 medical and health sciencesLiver Neoplasms Experimental0302 clinical medicineAntigens NeoplasmmedicineAnimalsReceptor Fibroblast Growth Factor Type 2Protein Kinase InhibitorsCell ProliferationHepatologyOncogenebusiness.industryFibroblast growth factor receptor 2AdenosylhomocysteinasePhenylurea CompoundsGemcitabineBile Ducts IntrahepaticCell Transformation NeoplasticPyrimidines030104 developmental biologyBile Duct NeoplasmsFibroblast growth factor receptorMutationCancer research030211 gastroenterology & hepatologyKRASGene FusionbusinessCo-Repressor ProteinsMicrotubule-Associated ProteinsHepatology
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Deep Learning for Classifying Physical Activities from Accelerometer Data

2021

Physical inactivity increases the risk of many adverse health conditions, including the world’s major non-communicable diseases, such as coronary heart disease, type 2 diabetes, and breast and colon cancers, shortening life expectancy. There are minimal medical care and personal trainers’ methods to monitor a patient’s actual physical activity types. To improve activity monitoring, we propose an artificial-intelligence-based approach to classify the physical movement activity patterns. In more detail, we employ two deep learning (DL) methods, namely a deep feed-forward neural network (DNN) and a deep recurrent neural network (RNN) for this purpose. We evaluate the proposed models on two phy…

Fysisk aktivitetComputer scienceVDP::Informasjons- og kommunikasjonsteknologi: 550physical activityAccelerometercomputer.software_genresensorsBiochemistryMedical careRNNAnalytical Chemistry:Information and communication technology: 550 [VDP]Accelerometer dataAccelerometryartificial_intelligence_roboticsInstrumentationArtificial neural networkhealthAtomic and Molecular Physics and Opticsmachine learningclassificationHealthFeedforward neural network:Informasjons- og kommunikasjonsteknologi: 550 [VDP]Physical activityTP1-1185Movement activityMachine learningHelseFeed-forward neural networksVDP::Information and communication technology: 550ArticleFysisk aktiviteterMachine learningHumansAccelerometer dataElectrical and Electronic EngineeringExercisebusiness.industryPhysical activitySensorsDeep learningChemical technologydeep learningDeep learningfeed-forward neural networkRecurrent neural networkPhysical activitiesDiabetes Mellitus Type 2Recurrent neural networksaccelerometer dataUCIrecurrent neural networkNeural Networks ComputerArtificial intelligenceClassificationsbusinesscomputerDNN
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Low vitamin D levels increase the risk of type 2 diabetes in older adults: A systematic review and meta-analysis

2017

Low serum levels of 25 hydroxyvitamin D (25OHD) (hypovitaminosis D) is common in older adults and associated with several negative outcomes. The association between hypovitaminosis D and diabetes in older adults is equivocal, however. We conducted a meta-analysis investigating if hypovitaminosis D is associated with diabetes in prospective studies among older participants. Two investigators systematically searched major electronic databases, from inception until 10/07/2016. The cumulative incidence of diabetes among groups was estimated according to baseline serum 25OHD levels. Random effect models were used to assess the association between hypovitaminosis D and diabetes at follow-up. From…

Genetics and Molecular Biology (all)AdultRiskmedicine.medical_specialty030209 endocrinology & metabolismvitamin DType 2 diabetesBiochemistryGeneral Biochemistry Genetics and Molecular Biologyvitamin D deficiencyNO03 medical and health sciences0302 clinical medicineDiabetes mellitusInternal medicineVitamin D and neurologyHumansMedicineCumulative incidence030212 general & internal medicineVitamin DProspective cohort studyAgeddiabetesbusiness.industryDiabetesConfoundingHypovitaminosis DObstetrics and GynecologyVitaminsVitamin D Deficiencymedicine.diseaseAged; Diabetes; Hypovitaminosis D; Meta-analysis; Vitamin D; Biochemistry Genetics and Molecular Biology (all); Obstetrics and Gynecologymeta-analysisMeta-analysisagedDiabetes Mellitus Type 2hypovitaminosis DMeta-analysisPhysical therapybusinessVitamin D Hypovitaminosis D DiabetesAged Meta-analysis
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