Nikolas Deubner

Universität Würzburg, Würzburg, Bavaria, Germany

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Publications (4)16.87 Total impact

  • Article: Airway obstruction in systolic heart failure - COPD or congestion?
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    ABSTRACT: BACKGROUND: The diagnosis of chronic obstructive pulmonary disease (COPD) in patients with systolic heart failure (SHF) is challenging because symptoms of both conditions overlap. We aimed to estimate the prevalence, correlates and prognostic impact of true COPD in patients with SHF. METHODS: To diagnose COPD under stable conditions according to the guidelines, pulmonary function testing (PFT) was performed in 619 patients six months after hospitalization for congestive SHF. In 272 patients, PFT had been also performed prior to discharge. RESULTS: In the total cohort, COPD was reported in 23% (144/619). PFT under stable conditions revealed that COPD was absent in 73% (449/619), unconfirmed in 18% (112/619), and proven in 9% (58/619). In 272 patients with serial PFT, initial airway obstruction was found in 19% (51/272) but had resolved in 47% of those (24/51) after six months. Initial hyperinflation detected by bodyplethysmography strongly predicted proven COPD six months later: odds ratio for elevated intrathoracic gas volume 12.8, 95% confidence interval (CI) 2.5-65.9; p=0.002. After a median follow-up of 34months, 27% of the total cohort (165/619) had died. Only proven COPD was associated with an increased mortality risk after adjustment for age, sex, NYHA functional class, ejection fraction, atrial fibrillation, smoking, renal dysfunction and diabetes: hazard ratio 1.64, 95%CI 1.03-2.63; p=0.039. CONCLUSIONS: Airway obstruction is a dynamic phenomenon in SHF. Therefore, a valid diagnosis of COPD in SHF demands serial PFT under stable conditions with special attention to hyperinflation. COPD proven by PFT is associated with an increased all-cause mortality risk.
    International journal of cardiology 01/2013; · 7.08 Impact Factor
  • Article: Dysnatraemia in heart failure.
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    ABSTRACT: To investigate in detail the correlates of dysnatremia, and to estimate its differential prognostic relevance in patients with heart failure with reduced or preserved LVEF. Background Hyponatraemia has been shown to carry important prognostic information in patients with heart failure with reduced left ventricular ejection fraction (LVEF). However, exact serum sodium cut-off levels are not defined and the implications for heart failure with preserved ejection fraction (HF-pEF) are unclear. The prognostic value of hypernatraemia has not been investigated systematically. Therefore, the aim of this study was to investigate in detail the correlates of dysnatraemia, and to estimate its differential prognostic relevance in patients with heart failure with reduced or preserved LVEF. One thousand consecutive patients with heart failure of any cause and severity from the Würzburg Interdisciplinary Network for Heart Failure registry were included. Non-linear models for the association between serum sodium and mortality risk were calculated using restricted cubic splines and Cox proportional hazard regression. Median follow-up time for survivors was 5.1 years. Results Independent correlates of dysnatraemia included guideline-recommended medication for chronic heart failure, indicators of renal function, and reverse associations with established cardiac risk factors. Overall mortality was 56%. Both hyponatraemia (n = 72) and hypernatraemia (n = 98) were associated with a significantly increased mortality risk: hazard ratio (HR) 2.10, 95% confidence interval (CI) 1.60-2.77; and HR 1.91, 95% CI 1.49-2.45, respectively. A U-shaped association of serum sodium with mortality risk was found. Prognosis was best for patients with high normal sodium levels, i.e. 140-145 mmol/L. Both hypo- and hypernatraemia indicate a markedly compromised prognosis in heart failure regardless of LVEF. Sodium levels within the reference range carry differential information on survival, with serum levels of 135-139 mmol/L indicating an increased mortality risk.
    European Journal of Heart Failure 07/2012; 14(10):1147-54. · 4.90 Impact Factor
  • Source
    Chapter: Acute Myocarditis � A Trigger of Cardiac Autoimmunity? Expected Insights from the Etiology, Titre-Course, and Effect on Survival of Cardiac Autoantibodies (ETiCS) Study
    10/2011; , ISBN: 978-953-307-289-0
  • Article: Cardiac beta1-adrenoceptor autoantibodies in human heart disease: rationale and design of the Etiology, Titre-Course, and Survival (ETiCS) Study.
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    ABSTRACT: Evidence for a pathophysiologic relevance of autoimmunity in human heart disease has substantially increased over the past years. Conformational autoantibodies stimulating the cardiac beta1-adrenoceptor (beta1-aabs) are considered of importance in heart failure development and clinical pilot studies have shown their prognostic significance in human 'idiopathic' cardiomyopathy. We recently developed a novel highly sensitive fluorescence-based functional assay to detect stimulating beta1-aabs. We will use this method to assess Etiology, Titre-Course, and effect on Survival (ETiCS) of beta1-aabs in a prospective multicentre study with serial follow-up of patients after a first acute myocarditis or myocardial infarction. Several European core laboratories will jointly study the hypothesis that both disorders may trigger autoimmune reactions leading to the generation of beta1-aabs and/or other heart-directed aabs. Further, sera from healthy controls and well-characterized patient cohorts with dilated, ischaemic, or hypertensive cardiomyopathy will be analysed retrospectively for beta1-aab prevalence, incidence, persistence, and/or clearance. ETiCS is so far the largest clinical diagnostic study projected to address cardiac autoimmunity. It attempts to unravel the pathophysiology of cardiac autoantibody formation and persistence/clearance. ETiCS will enhance current knowledge on autoimmunity in human heart disease and promote endeavours to develop novel therapies targeting cardiac aabs.
    European Journal of Heart Failure 07/2010; 12(7):753-62. · 4.90 Impact Factor