Diagnostic Accuracy of Single Fiber Electromyography for Myasthenia Gravis in Patients Followed Longitudinally
| Autor: | John A. Morren, Robert W. Shields, Kerry H. Levin |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Adult
Male medicine.medical_specialty Physiology Muscle Fibers Skeletal Diagnostic accuracy Electromyography Antibodies 03 medical and health sciences 0302 clinical medicine Physiology (medical) Activities of Daily Living Myasthenia Gravis medicine Humans In patient Receptors Cholinergic 030212 general & internal medicine Longitudinal Studies Aged Retrospective Studies medicine.diagnostic_test business.industry Middle Aged medicine.disease Myasthenia gravis Single fiber electromyography Surgery Neurology ROC Curve Quality of Life Female Neurology (clinical) business 030217 neurology & neurosurgery |
| Zdroj: | Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society. 33(5) |
| ISSN: | 1537-1603 |
| Popis: | The literature lacks data on accuracy of single fiber electromyography (SFEMG) for myasthenia gravis (MG) patients followed longitudinally.We included patients with a clinical suspicion of MG who received SFEMG and follow-up at our institution between 2003 and 2013. Data collected included demographics, symptom details, clinical deficits, other diagnostic testing results, MG medication regimen, duration on treatment, response to therapy, and ultimate diagnosis after follow-up. When available, information was also extracted from the MG-specific Activities of Daily Living, MG Quality of Life, and European Quality of Life assessments before and after SFEMG.Three hundred forty eight SFEMG patients met inclusion criteria. Myasthenia gravis was ultimately diagnosed in 31% (19% ocular, 12% generalized). A sensitivity of 78% was seen for MG regardless of subtype, 73% for ocular MG, and 85% for generalized MG. A specificity of 91% was obtained for MG of either ocular or generalized subtype.The diagnostic accuracy of SFEMG using this methodology minimizing incorporation bias is more reliable than that usually described in previous studies. There is utility in increasing diagnostic yield when SFEMG results are combined with clinical data and those from other diagnostic tests, particularly serology. |
| Databáze: | OpenAIRE |
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