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Biomedical subjects

M Heydthausen

Publications and source records attributed to M Heydthausen.

5 recordsLinked to original sources

Late potentials and heart rate variability in heart muscle disease.

To elucidate the incidence and clinical significance of ventricular late potentials (LP) and reduced heart rate variability (HRV) in primary and secondary heart muscle disease, 157 patients with dilated cardiomyopathy (DCM, n = 19), chronic myocarditis (MC, n = 50), hypertrophic cardiomyopathy (HCM, n = 27) and systemic hypertension (HT, n = 61) were studied. LP measured by the signal averaging technique were found in 24% of the total study group--47% of the patients with DCM, 28% with MC, 29% with HCM and 10% with HT. Complex ventricular arrhythmias were detected during Holter monitoring in 56% of patients with DCM, in 41% with MC, in 21% with HT and in 16% with HCM. An electrophysiological study was performed in a total of 75 patients. Non-sustained or sustained ventricular tachycardia (VT) or ventricular fibrillation (VF) were inducible during programmed ventricular stimulation in 32% of patients with MC, in 30% with HT, in 20% with DCM and in 17% with HCM. The total duration of the signal-averaged, filtered QRS complex was the only independent predictive factor for severe arrhythmic events and sudden cardiac death. HRV measured in 39 patients were most reduced in patients with DCM (RR interval standard deviation (HRV-SD) 39 +/- 23 ms), followed by 44 +/- 16 ms in patients with HCM, 45 +/- 28 ms in patients with HCM and 67 +/- 51 ms in patients with HT. A significant reduction in the HRV-SD below 30 ms was recorded in 24% of patients measured.(ABSTRACT TRUNCATED AT 250 WORDS)

Adult

Possibilities for retrieving temporal information in MEDDOK retrieval system.

This paper describes shortly some aspects of the MEDDOK retrieval language especially the methods for making vertical retrieval. In addition the question is investigated how this retrieval can be done without scanning and searching most of the data pool. Another subject of the paper is the description of the underlying data structure.

Computers

Data structures for medical documentation.

The paper describes a method to construct data base structures for patient-related documentation. The data base structures are formed over suitable classes. Functional dependences are only investigated regarding these classes. Structuring items by means of arbitrary relations are possible, too. The results are well-formed flexible data structures which can serve as a common functional basis for many documentation projects.

Computers

[A rheumatic disease register in clinical use].

A registry for the documentation of rheumatic diseases has been developed at the University of Düsseldorf. For 3 years more than 450 parameters for each patient have been documented, checked, and stored in a data bank. The registry has made a definite improvement in the diagnosis and long-term follow-up of rheumatic diseases. The use of special statistical procedures to study the frequency of various parameters in different diseases has allowed independent diagnostic criteria to be established.

Follow-Up Studies