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214 results on '"Henneges, Carsten"'

10. Sex-specific bimodal clustering of left ventricular ejection fraction in patients with acute heart failure

Author

Henneges, Carsten, Morbach, Caroline, Sahiti, Floran, Scholz, Nina, Frantz, Stefan, Ertl, Georg, Angermann, Christiane E., and Störk, Stefan

Subjects
Aged, 80 and over, Male, Left ventricular ejection fraction, Short Communication, Stroke Volume, Heart failure, Middle Aged, Ventricular Function, Left, Echocardiography, RC666-701, Sex differences, cardiovascular system, Cluster Analysis, Humans, Diseases of the circulatory (Cardiovascular) system, Female, cardiovascular diseases, ddc:610, Aged, circulatory and respiratory physiology
Abstract

Aims There is an ongoing discussion whether the categorization of patients with heart failure according to left ventricular ejection fraction (LVEF) is scientifically justified and clinically relevant. Major efforts are directed towards the identification of appropriate cut‐off values to correctly allocate heart failure‐specific pharmacotherapy. Alternatively, an LVEF continuum without definite subgroups is discussed. This study aimed to evaluate the natural distribution of LVEF in patients presenting with acutely decompensated heart failure and to identify potential subgroups of LVEF in male and female patients. Methods and results We identified 470 patients (mean age 75 ± 11 years, n = 137 female) hospitalized for acute heart failure in whom LVEF could be quantified by Simpson's method in an in‐hospital echocardiogram. Non‐parametric modelling revealed a bimodal shape of the LVEF distribution. Parametric modelling identified two clusters suggesting two LVEF peaks with mean (variance) of 61% (9%) and 31% (10%), respectively. Sub‐differentiation by sex revealed a sex‐specific bimodal clustering of LVEF. The respective threshold differentiating between ‘high’ and ‘low’ LVEF was 45% in men and 52% in women. Conclusions In patients presenting with acute heart failure, LVEF clustered in two subgroups and exhibited profound sex‐specific distributional differences. These findings might enrich the scientific process to identify distinct subgroups of heart failure patients, which might each benefit from respectively tailored (pharmaco)therapies.

Published
2022

22. Temporal changes in total and hippocampal brain volume and cognitive function in patients with chronic heart failure—the COGNITION.MATTERS-HF cohort study

Author

Frey, Anna, primary, Homola, György A, additional, Henneges, Carsten, additional, Mühlbauer, Larissa, additional, Sell, Roxane, additional, Kraft, Peter, additional, Franke, Maximilian, additional, Morbach, Caroline, additional, Vogt, Marius, additional, Müllges, Wolfgang, additional, Ertl, Georg, additional, Solymosi, László, additional, Pirpamer, Lukas, additional, Schmidt, Reinhold, additional, Pham, Mirko, additional, Störk, Stefan, additional, and Stoll, Guido, additional

Published
2021
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29. A factorization method for the classification of infrared spectra

Author

Kammerer Bernd, Backhaus Jürgen, Darmawan Endang, Laskov Pavel, Henneges Carsten, and Zell Andreas

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5
Abstract

Abstract Background Bioinformatics data analysis often deals with additive mixtures of signals for which only class labels are known. Then, the overall goal is to estimate class related signals for data mining purposes. A convenient application is metabolic monitoring of patients using infrared spectroscopy. Within an infrared spectrum each single compound contributes quantitatively to the measurement. Results In this work, we propose a novel factorization technique for additive signal factorization that allows learning from classified samples. We define a composed loss function for this task and analytically derive a closed form equation such that training a model reduces to searching for an optimal threshold vector. Our experiments, carried out on synthetic and clinical data, show a sensitivity of up to 0.958 and specificity of up to 0.841 for a 15-class problem of disease classification. Using class and regression information in parallel, our algorithm outperforms linear SVM for training cases having many classes and few data. Conclusions The presented factorization method provides a simple and generative model and, therefore, represents a first step towards predictive factorization methods.

Published
2010
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30. Prediction of breast cancer by profiling of urinary RNA metabolites using Support Vector Machine-based feature selection

Author

Schwab Matthias, Gleiter Christoph H, Laufer Stefan, Neubauer Hans, Seeger Harald, Friese Natascha, Fux Richard, Bullinger Dino, Henneges Carsten, Zell Andreas, and Kammerer Bernd

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background Breast cancer belongs to the most frequent and severe cancer types in human. Since excretion of modified nucleosides from increased RNA metabolism has been proposed as a potential target in pathogenesis of breast cancer, the aim of the present study was to elucidate the predictability of breast cancer by means of urinary excreted nucleosides. Methods We analyzed urine samples from 85 breast cancer women and respective healthy controls to assess the metabolic profiles of nucleosides by a comprehensive bioinformatic approach. All included nucleosides/ribosylated metabolites were isolated by cis-diol specific affinity chromatography and measured with liquid chromatography ion trap mass spectrometry (LC-ITMS). A valid set of urinary metabolites was selected by exclusion of all candidates with poor linearity and/or reproducibility in the analytical setting. The bioinformatic tool of Oscillating Search Algorithm for Feature Selection (OSAF) was applied to iteratively improve features for training of Support Vector Machines (SVM) to better predict breast cancer. Results After identification of 51 nucleosides/ribosylated metabolites in the urine of breast cancer women and/or controls by LC- ITMS coupling, a valid set of 35 candidates was selected for subsequent computational analyses. OSAF resulted in 44 pairwise ratios of metabolite features by iterative optimization. Based on this approach ultimately estimates for sensitivity and specificity of 83.5% and 90.6% were obtained for best prediction of breast cancer. The classification performance was dominated by metabolite pairs with SAH which highlights its importance for RNA methylation in cancer pathogenesis. Conclusion Extensive RNA-pathway analysis based on mass spectrometric analysis of metabolites and subsequent bioinformatic feature selection allowed for the identification of significant metabolic features related to breast cancer pathogenesis. The combination of mass spectrometric analysis and subsequent SVM-based feature selection represents a promising tool for the development of a non-invasive prediction system.

Published
2009
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32. Additional file 3: of Tadalafil 5 mg once daily for the treatment of erectile dysfunction during a 6-month observational study (EDATE): impact of patient characteristics and comorbidities

Author

Hatzichristou, Dimitrios, D’Anzeo, Gianluca, Porst, Hartmut, Buvat, Jacques, Henneges, Carsten, Rossi, Andrea, Hamidi, Karim, and Büttner, Hartwig

Subjects
body regions, nervous system, fungi
Abstract

Kaplan-Meier estimation in different age groups for time to discontinuation of tadalafil OaD treatment. (PDF 109 kb)

Published
2015
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33. Additional file 4: of Tadalafil 5 mg once daily for the treatment of erectile dysfunction during a 6-month observational study (EDATE): impact of patient characteristics and comorbidities

Author

Hatzichristou, Dimitrios, D’Anzeo, Gianluca, Porst, Hartmut, Buvat, Jacques, Henneges, Carsten, Rossi, Andrea, Hamidi, Karim, and Büttner, Hartwig

Subjects
nervous system, fungi, macromolecular substances
Abstract

Kaplan-Meier estimation in patients stratified according to severity of erectile dysfunction for time to discontinuation of tadalafil OaD treatment. (PDF 118 kb)

Published
2015
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34. Additional file 5: of Tadalafil 5 mg once daily for the treatment of erectile dysfunction during a 6-month observational study (EDATE): impact of patient characteristics and comorbidities

Author

Hatzichristou, Dimitrios, D’Anzeo, Gianluca, Porst, Hartmut, Buvat, Jacques, Henneges, Carsten, Rossi, Andrea, Hamidi, Karim, and Büttner, Hartwig

Subjects
sense organs
Abstract

Change of IIEF and EDITS total scores from baseline to Month 6 during treatment with tadalafil OaD - subgroup analysis (N = 778; unadjusted data). (PDF 74 kb)

Published
2015
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35. Additional file 2: of Tadalafil 5 mg once daily for the treatment of erectile dysfunction during a 6-month observational study (EDATE): impact of patient characteristics and comorbidities

Author

Hatzichristou, Dimitrios, D’Anzeo, Gianluca, Porst, Hartmut, Buvat, Jacques, Henneges, Carsten, Rossi, Andrea, Hamidi, Karim, and Büttner, Hartwig

Subjects
body regions, nervous system, fungi
Abstract

IIEF domain scores at baseline in PDE5 inhibitor-naïve and PDE5 inhibitor pretreated patients (N = 778). (PDF 24 kb)

Published
2015
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37. Additional file 6: of Tadalafil 5 mg once daily for the treatment of erectile dysfunction during a 6-month observational study (EDATE): impact of patient characteristics and comorbidities

Author

Hatzichristou, Dimitrios, D’Anzeo, Gianluca, Porst, Hartmut, Buvat, Jacques, Henneges, Carsten, Rossi, Andrea, Hamidi, Karim, and Büttner, Hartwig

Subjects
body regions, nervous system, fungi
Abstract

Kaplan-Meier estimation for time to discontinuation of tadalafil OaD treatment. (PDF 102 kb)

Published
2015
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40. Exploratory Decision-Tree Modeling of Data from the Randomized REACTT Trial of Tadalafil Versus Placebo to Predict Recovery of Erectile Function After Bilateral Nerve-Sparing Radical Prostatectomy

Author

Montorsi, Francesco, primary, Oelke, Matthias, additional, Henneges, Carsten, additional, Brock, Gerald, additional, Salonia, Andrea, additional, d’Anzeo, Gianluca, additional, Rossi, Andrea, additional, Mulhall, John P., additional, and Büttner, Hartwig, additional

Published
2016
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41. Use of Structural Equation Modeling to Demonstrate the Differential Impact of Storage and Voiding Lower Urinary Tract Symptoms on Symptom Bother and Quality of Life during Treatment for Lower Urinary Tract Symptoms Associated with Benign Prostatic Hyperplasia

Author

McVary, Kevin T., primary, Peterson, Andrew, additional, Donatucci, Craig F., additional, Baygani, Simin, additional, Henneges, Carsten, additional, Clouth, Johannes, additional, Wong, David, additional, and Oelke, Matthias, additional

Published
2016
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47. Effect of Tadalafil Once Daily on Penile Length Loss and Morning Erections in Patients After Bilateral Nerve-sparing Radical Prostatectomy: Results From a Randomized Controlled Trial

Author

Brock, Gerald, primary, Montorsi, Francesco, additional, Costa, Pierre, additional, Shah, Nimish, additional, Martinez-Jabaloyas, Jose Maria, additional, Hammerer, Peter, additional, Ludovico, Giuseppe M., additional, Lee, Jay C., additional, Henneges, Carsten, additional, Hamidi, Karim, additional, Rossi, Andrea, additional, Mulhall, John, additional, and Büttner, Hartwig, additional

Published
2015
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48. Effects of tadalafil treatment after bilateral nerve-sparing radical prostatectomy: quality of life, psychosocial outcomes, and treatment satisfaction results from a randomized, placebo-controlled phase IV study

Author

Patel, Hitendra R, primary, Ilo, Dapo, additional, Shah, Nimish, additional, Cuzin, Béatrice, additional, Chadwick, David, additional, Andrianne, Robert, additional, Henneges, Carsten, additional, Barry, Jane, additional, Hell-Momeni, Katja, additional, Branicka, Julia, additional, and Büttner, Hartwig, additional

Published
2015
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