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Biomedical subjects

S Saalfeld

Publications and source records attributed to S Saalfeld.

3 recordsLinked to original sources

[BiPAP therapy of respiratory disorders in patients with congenital neuromuscular diseases].

BACKGROUND: Patients with hereditary generalized neuromuscular diseases develop respiratory failure and decreased maximal inspiratory pressure (Pi max) due to both, involvement of respiratory muscles in the disease and secondary spine- and thorax-deformity. In recent years mechanical respiratory support was done mostly by hyperbaric pressure ventilation when the patients become hypercapnic during daytime. However, polysomnographic investigations have shown that despite normal ventilation during daytime, severe respiratory failure might be detectable only during sleep. PATIENTS AND METHODS: Fourty patients with hereditary generalized neuromuscular diseases were analyzed using polysomnographic analyses and lung function tests (4-channel-ECG,2-channel-ECG, EOG, respiratory parameters, continuous oxygen saturation measurement and capillary blood gas analyses during sleep). Patients with need of ventilatory support during sleep were treated using bilevel positive airway pressure ventilation (BiPAP). RESULTS: Twenty patients revealed severe sleep related breathing disorders and were therefore treated by BiPAP. All showed normalisation or substantial improvement during BiPAP-therapy except two patients with persistent daytime symptoms. During follow-up (6 to 38 months) 3 patients died (cardiomyopathy, pulmonary embolism, pneumonia). The most important side effect of BiPAP-therapy was pressure marks due to the masks. CONCLUSIONS: BiPAP is useful for treatment of sleep related respiratory failure in patients with hereditary generalized neuromuscular diseases.

Adolescent

[Use of microcomputers in polysomnography].

Constantly falling prices and increasing power combine to make the personal computer an attractive alternative to established recording devices for use in polysomnography. Apart from its price advantage, digital recording of psychophysiological signals offers the possibility of selective display (compression and zooming to parts of special interest), and also semi-automatic evaluation. In order to be able to feed the data acquired in the sleep laboratory into the computer, an interface for signal matching, an analog/digital converter, and suitable software, are required. In order to reduce the wealth of data to the clinically relevant (and, in the last resort, also manageable) amount, preprocessing hardware, such as EEG filters, snore detectors, etc., are required. The system we recommend comprises individual hardware, modules for the pickup of physiological signals, and flexibly combinable software routines that permit adaptation to any future expansions of changing medical problems.

Humans