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Atakanova A, Heiligers A, Kirschner M, Bollheimer C, Fleig S. [Geriatric patient with neurological symptoms and prolonged aPTT]. Inn Med (Heidelb) 2024; 65:402-406. [PMID: 37728737 PMCID: PMC10959806 DOI: 10.1007/s00108-023-01581-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/08/2023] [Indexed: 09/21/2023]
Abstract
A 73-year-old man with dementia was referred to our clinic with hypernatremia and volume depletion. New-onset neurogenic dysphagia was likely the reason for both. The patient had chronic embolic strokes on the computed tomography (CT) images. Documentation from previous hospitalizations in different hospitals revealed a repeatedly prolonged activated partial thromboplastin time (aPTT); 5 years prior, antiphospholipid antibody syndrome had already been suspected, but the necessary workup was never completed. We diagnosed the patient with primary antiphospholipid antibody syndrome and initiated therapy with vitamin K antagonists (phenprocoumon) and aspirin.
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Affiliation(s)
- Aisuluu Atakanova
- Medizinische Klinik VI Altersmedizin, Uniklinik RWTH Aachen Standort Franziskus, Morillenhang 27, 52074, Aachen, Deutschland
| | - Anne Heiligers
- Medizinische Klinik VI Altersmedizin, Uniklinik RWTH Aachen Standort Franziskus, Morillenhang 27, 52074, Aachen, Deutschland
| | - Martin Kirschner
- Klinik für Hämatologie, Onkologie, Hämostaseologie und Stammzelltransplantation, Medizinische Klinik IV, Uniklinik RWTH Aachen, Aachen, Deutschland
| | - Cornelius Bollheimer
- Medizinische Klinik VI Altersmedizin, Uniklinik RWTH Aachen Standort Franziskus, Morillenhang 27, 52074, Aachen, Deutschland
| | - Susanne Fleig
- Medizinische Klinik VI Altersmedizin, Uniklinik RWTH Aachen Standort Franziskus, Morillenhang 27, 52074, Aachen, Deutschland.
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Kutafina E, Heiligers A, Popovic R, Brenner A, Hankammer B, Jonas SM, Mathiak K, Zweerings J. Tracking of Mental Workload with a Mobile EEG Sensor. Sensors (Basel) 2021; 21:s21155205. [PMID: 34372445 PMCID: PMC8348794 DOI: 10.3390/s21155205] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 07/23/2021] [Accepted: 07/28/2021] [Indexed: 12/04/2022]
Abstract
The aim of the present investigation was to assess if a mobile electroencephalography (EEG) setup can be used to track mental workload, which is an important aspect of learning performance and motivation and may thus represent a valuable source of information in the evaluation of cognitive training approaches. Twenty five healthy subjects performed a three-level N-back test using a fully mobile setup including tablet-based presentation of the task and EEG data collection with a self-mounted mobile EEG device at two assessment time points. A two-fold analysis approach was chosen including a standard analysis of variance and an artificial neural network to distinguish the levels of cognitive load. Our findings indicate that the setup is feasible for detecting changes in cognitive load, as reflected by alterations across lobes in different frequency bands. In particular, we observed a decrease of occipital alpha and an increase in frontal, parietal and occipital theta with increasing cognitive load. The most distinct levels of cognitive load could be discriminated by the integrated machine learning models with an accuracy of 86%.
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Affiliation(s)
- Ekaterina Kutafina
- Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, 52074 Aachen, Germany; (R.P.); (B.H.)
- Faculty of Applied Mathematics, AGH University of Science and Technology, 30-059 Krakow, Poland
- Correspondence:
| | - Anne Heiligers
- Department of Psychiatry, Psychotherapy and Psychosomatics, School of Medicine, RWTH Aachen University, 52074 Aachen, Germany; (A.H.); (K.M.); (J.Z.)
| | - Radomir Popovic
- Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, 52074 Aachen, Germany; (R.P.); (B.H.)
| | - Alexander Brenner
- Institute of Medical Informatics, University of Münster, 48149 Münster, Germany;
| | - Bernd Hankammer
- Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, 52074 Aachen, Germany; (R.P.); (B.H.)
| | - Stephan M. Jonas
- Department of Informatics, Technical University of Munich, 85748 Garching, Germany;
| | - Klaus Mathiak
- Department of Psychiatry, Psychotherapy and Psychosomatics, School of Medicine, RWTH Aachen University, 52074 Aachen, Germany; (A.H.); (K.M.); (J.Z.)
| | - Jana Zweerings
- Department of Psychiatry, Psychotherapy and Psychosomatics, School of Medicine, RWTH Aachen University, 52074 Aachen, Germany; (A.H.); (K.M.); (J.Z.)
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