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Citation: Goernig M, Schroeder R, Kleindienst R, Figulla HR, Voss A and Leder U. Blood pressure variability analysis enhances risk stratification in chronic heart failure. ...doi:10.7243/2052-4358-2-5 fatcat:5b3qub5kcrhylbz2xodwcuj4lm
doi:10.1515/bmt.2006.033 pmid:17061935 fatcat:aq2h7cxmrfazpaumycfboyg3xy
Within 5 years of first diagnosis, nearly 60% of patients with heart failure (HF) suffer from cardiac death. Early diagnosis of HF and reliable risk prediction are still required. Therefore, the objective of this study was to develop a parameter set for enhanced risk stratification in HF patients. In 43 patients suffering from HF (NYHA class GII, ejection fraction -45%) and 10 healthy subjects (REF), heart rate and blood pressure variability (HRV and BPV), interactions between heart rate anddoi:10.1515/bmt.2006.028 pmid:17061930 fatcat:zcdg62s3enc7dolnlyvoe6mslu
more »... od pressure (joint symbolic dynamics, JSD) and blood pressure morphology (BPM) were analysed. BPV, BPM and JSD measures revealed high significance (p-0.0001) in discriminating REF and HF. A set of three parameters from BPV, JSD and BPM was developed for risk stratification (sensitivity 76.5%, specificity 84.2%, area under the receiver operating characteristic curve 81.4%) in patients with HF.
Br J Clin Pharmacol 58 :1 96-98 96 Aims Amiodarone is widely used in ventricular tachyarrhythmias and atrial fibrillation, known to prolong QT-intervals. Concurrent administration of drugs prolonging QT-time can induce life-threatening ventricular tachyarrhythmia. Methods QT-interval changes following use of Iohexol contrast-medium for coronarang iography were observed comparing 21 patients taking long-term amiodarone therapy with 21 controls not taking amiodarone or QT-prolonging drugsdoi:10.1111/j.1365-2125.2004.02119.x pmid:15206999 pmcid:PMC1884533 fatcat:d2jdyorc2rg2vdpyonzzcxcyle
more »... ctively. Results Concurrent use of Iohexol and amiodarone was associated with significant prolongation of QTc-interval (433, 95%CI: 419-448 ms vs. 480, 95%CI: 422-483 ms, P < 0.001) the day after coronarangiograpgy. 6/21 patients showed severe prolonged QTc-interval of > 500 ms. Conclusion Caution is advised until more is known about pro-arrhythmic effects of Iohexol. Iohexol in amiodarone patients Br J Clin Pharmacol 58 :1 97
doi:10.1515/bmt.2006.036 pmid:17061938 fatcat:7upi5zosbjeynjojiopguxs4k4
Electrocardiographic methods still provide the bulk of cardiovascular diagnostics. Cardiac ischemia is associated with typical alterations in cardiac biosignals that have to be measured, analyzed by mathematical algorithms and allegorized for further clinical diagnostics. The fast growing fields of biomedical engineering and applied sciences are intensely focused on generating new approaches to cardiac biosignal analysis for diagnosis and risk stratification in myocardial ischemia. To presentdoi:10.3205/000116 pmid:21063467 pmcid:PMC2975259 fatcat:cm2f3jenx5ezljxo3xpo6p4mwu
more »... d review the state of the art in and new approaches to electrocardiologic methods for non-invasive detection and risk stratification in coronary artery disease (CAD) and myocardial ischemia; secondarily, to explore the future perspectives of these methods. In follow-up to the Expert Discussion at the 2008 Workshop on "Biosignal Analysis" of the German Society of Biomedical Engineering in Potsdam, Germany, we comprehensively searched the pertinent literature and databases and compiled the results into this review. Then, we categorized the state-of-the-art methods and selected new approaches based on their applications in detection and risk stratification of myocardial ischemia. Finally, we compared the pros and cons of the methods and explored their future potentials for cardiology. Resting ECG, particularly suited for detecting ST-elevation myocardial infarctions, and exercise ECG, for the diagnosis of stable CAD, are state-of-the-art methods. New exercise-free methods for detecting stable CAD include cardiogoniometry (CGM); methods for detecting acute coronary syndrome without ST elevation are Body Surface Potential Mapping, functional imaging and CGM. Heart rate variability and blood pressure variability analyses, microvolt T-wave alternans and signal-averaged ECG mainly serve in detecting and stratifying the risk for lethal arrythmias in patients with myocardial ischemia or previous myocardial infarctions. Telemedicine and ambient-assisted living support the electrocardiological monitoring of at-risk patients. There are many promising methods for the exercise-free, non-invasive detection of CAD and myocardial ischemia in the stable and acute phases. In the coming years, these new methods will help enhance state-of-the-art procedures in routine diagnostics. The future can expect that equally novel methods for risk stratification and telemedicine will transition into clinical routine.
Matthias Goernig organized the clinical measurements and was involved in the data annotation process. Reinhold Orglmeister supervised the working group and commented on the final paper. ...doi:10.3390/s17010158 pmid:28098831 pmcid:PMC5298731 fatcat:jzs47twygbfwtmkvuq7yo43hd4
British Journal of Clinical Pharmacology
lohexol contrast medium induces QT prolongation in amiodarone patients Matthias Goernig, Thomas Kirmeier, Andreas Krack, Christiane S. Hartog, Hans R. ... Figulla & Uwe Leder Friedrich-Schiller-University, Clinic of Internal Medicine Ill, Erlanger Allee 101, D-O07740 Jena, Germany Correspondence Matthias Goernig, University of Jena, nic of Internal Medicine ...
Goernig (Städtisches Klinikum Dresden, Germany); Sarah Weise (TU Ilmenau, Germany); Maik Pflugrath (TU Berlin, Germany); Jens Haueisen (TU Ilmenau, Germany) Poster session 10 Medical measuring techniques ... Sobottka (Universitätsklinikum Carl Gustav Carus Dresden, Germany); Matthias Kirsch (Universitätsklinikum Carl Gustav Carus Dresden, Germany); Gabriele Schackert (Universitätsklinikum Carl Gustav Carus ...doi:10.1515/bmt-2017-frontmatter-s1 fatcat:u2fn4n7zonaklahfd6pj37pzna
Goernig, S. Weise, M. Pflugradt, and J. Haueisen. ... Matthias Görnig, for making the clinical measurements possible and sharing his medical expertise especially during the assessment of the manifold datasets. I am also indebted to Prof. Dr.-Ing. K. ...doi:10.14279/depositonce-6774 fatcat:gxso3n4px5g6jcz2dyisixpz6y