0000000000350138

AUTHOR

Fietze Ingo

0000-0001-5567-5206

showing 2 related works from this author

Sleep apnoea severity independently predicts glycaemic health in nondiabetic subjects: the ESADA study

2014

Abstract: Obstructive sleep apnoea (OSA) is associated with increased risk of dysglycaemia but the intimate link of these conditions with obesity makes discerning an independent relationship between them challenging. Glycosylated haemoglobin (HbA1c) levels predict adverse cardiovascular outcomes in nondiabetics but there is a lack of population-level data exploring the relationship of HbA1c with OSA. A cross-sectional analysis of 5294 participants in the multinational European Sleep Apnoea Cohort (European Sleep Apnoea Database) study was performed, assessing the relationship of OSA severity with HbA1c levels in nondiabetic subjects, with adjustment for confounding factors. HbA1c levels cor…

AdultBlood GlucoseMalePulmonary and Respiratory Medicinemedicine.medical_specialtyAdolescentCross-sectional studyPolysomnographyintermittent hypoxia insulin resistance diabetes obesityBlood PressurePolysomnographySettore MED/10 - Malattie Dell'Apparato Respiratoriota3111Young Adultstomatognathic systemInternal medicineDiabetes MellitusmedicineHumansProspective StudiesSleep studyHypoxiaAgedAged 80 and overGlycated HemoglobinSleep Apnea ObstructiveAnthropometrymedicine.diagnostic_testbusiness.industryConfoundingSleep apneaOdds ratioMiddle Agedmedicine.diseasenervous system diseasesrespiratory tract diseasesEuropeCross-Sectional StudiesTreatment OutcomeQuartileCardiovascular DiseasesHyperglycemiaMultivariate AnalysisCohortPhysical therapyFemaleHuman medicinebusinessEuropean Respiratory Journal
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Unique sleep-stage transitions determined by obstructive sleep apnea severity, age and gender

2019

In obstructive sleep apnea, patients' sleep is fragmented leading to excessive daytime sleepiness and co-morbidities like arterial hypertension. However, traditional metrics are not always directly correlated with daytime sleepiness, and the association between traditional sleep quality metrics like sleep duration and arterial hypertension is still ambiguous. In a development cohort, we analysed hypnograms from mild (n = 213), moderate (n = 235) and severe (n = 277) obstructive sleep apnea patients as well as healthy controls (n = 105) from the European Sleep Apnea Database. We assessed sleep by the analysis of two-step transitions depending on obstructive sleep apnea severity and anthropom…

AdultMalesleep-disordered breathing.medicine.medical_specialtysleepdisordered breathing[SDV]Life Sciences [q-bio]Cognitive Neurosciencesleep dynamicsExcessive daytime sleepinessSettore MED/10 - Malattie Dell'Apparato Respiratorio600 Technik Medizin angewandte Wissenschaften::610 Medizin und Gesundheit::616 Krankheitenpower-law distribution03 medical and health sciencesBehavioral Neuroscience0302 clinical medicineInternal medicine616HumansMedicineexponential distributionsleep fragmentationStage (cooking)Retrospective StudiesSleep Apnea Obstructivebusiness.industryConfoundingsleep-disordered breathingAge FactorsGender IdentitySleep apneaGeneral MedicineMiddle AgedAnthropometrymedicine.diseaseSleep in non-human animals[SDV] Life Sciences [q-bio]Obstructive sleep apnea030228 respiratory systemsleep dynamicCohortCardiologyFemaleHuman medicinemedicine.symptomSleepbusiness030217 neurology & neurosurgery
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