Telemedicine is a growing field in many medical specialties. Within clinical neurosciences one of its largest applications is in acute stroke care. However, little is known about its value and effect in general neurology, despite stroke. In a retrospective survey of 1500 teleconsultations over a time period of 12 months from October 2008 to September 2009, from a large telestroke network in Germany, we evaluated 352 cases with a non-stroke diagnosis. Duration and methods of teleconsultation as well as neurological consultations at bedside and discharge diagnosis were analyzed and compared to stroke cases. Discharge diagnosis was not identical to teleconsultation diagnosis in 48.9% of all non-stroke cases compared to 12.5% of all stroke cases. Duration of teleconsultation was 26.5 min in non-stroke cases compared to 14.3 min for stroke cases. In non-stroke cases other parts of the neurological examination were added to the pure administration of a stroke scale. There were no significant differences between non-stroke cases with correct and incorrect consultation diagnoses concerning in-hospital mortality (4.6 vs. 5.0%) and length of hospital stay (8.3 vs. 7.6 days). We conclude that diagnostic accuracy and protocol routine is not as exact in non-stroke cases compared to acute stroke cases. Other neurologic conditions may need different algorithms for a telemedicine service. Thus experience from a telestroke service cannot be transferred to other neurologic conditions on a routine basis.
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http://dx.doi.org/10.1007/s00415-015-7702-y | DOI Listing |
J Am Med Dir Assoc
January 2025
Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden. Electronic address:
Objectives: We aimed to examine changes in the incidence of injurious falls before, during, and after stroke, and to identify risk factors of injurious falls before and after stroke diagnosis.
Design: Prospective cohort study.
Setting And Participants: Within the Swedish Twin Registry, 4431 participants (aged 66.
BMJ Open Qual
January 2025
Division of Cardiovascular Sciences, The University of Manchester, Manchester, UK.
Introduction: Stroke is a leading cause of mortality and morbidity, demanding prompt and accurate identification. However, prehospital diagnosis is challenging, with up to 50% of suspected strokes having other diagnoses. A prehospital video triage (PHVT) system was piloted in Greater Manchester to improve prehospital diagnostic accuracy and appropriate conveyance decisions.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Neurology, The First Affiliated Hospital of Zhengzhou University, JianShe Road 1#, Zhengzhou, 450000, China.
Previous observational studies have suggested at a potential link between migraine, particularly migraine with aura, and the susceptibility to early-onset ischemic stroke. We aimed to investigate the causal effects of genetically determined migraine and its subtypes on the risk of early-onset ischemic stroke using the two-sample Mendelian randomization method. Genetic instrumental variables associated with migraine and its subtypes were acquired from two sources with the largest sample sizes available.
View Article and Find Full Text PDFInt J Legal Med
November 2024
Department of Forensic Medicine, The Jikei University School of Medicine, Nishishinbashi 3-25-8, Minato-Ku, Tokyo, 105-8461, Japan.
Acrolein, a polyamine produced from spermine during brain infarction, has recently been used in clinical settings for brain infarction risk assessment. However, few studies have investigated the diagnostic usefulness of acrolein measurement in postmortem specimens. In this study, we measured the acrolein concentration in postmortem specimens to assess its potential as a marker for stroke diagnosis.
View Article and Find Full Text PDFMed Biol Eng Comput
November 2024
Department of Computer Engineering, Adiyaman University, Adiyaman, 02040, Türkiye.
Stroke, a major cause of death and disability worldwide, can be haemorrhagic or ischaemic depending on the type of bleeding in the brain. Rapid and accurate identification of stroke type and lesion segmentation is critical for timely and effective treatment. However, existing research primarily focuses on segmenting a single stroke type, potentially limiting their clinical applicability.
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