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Your search keyword '"Jamnadas-Khoda, Jenny"' showing total 8 results
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8 results on '"Jamnadas-Khoda, Jenny"'

4. Common genetic variation and susceptibility to partial epilepsies: a genome-wide association study

Author

Kasperavičiūtė, Dalia, Catarino, Claudia B., Heinzen, Erin L., Depondt, Chantal, Cavalleri, Gianpiero L., Caboclo, Luis O., Tate, Sarah K., Jamnadas-Khoda, Jenny, Chinthapalli, Krishna, Clayton, Lisa M.S., Shianna, Kevin V., Radtke, Rodney A., Mikati, Mohamad A., Gallentine, William B., Husain, Aatif M., Alhusaini, Saud, Leppert, David, Middleton, Lefkos T., Gibson, Rachel A., Johnson, Michael R., Matthews, Paul M., Hosford, David, Heuser, Kjell, Amos, Leslie, Ortega, Marcos, Zumsteg, Dominik, Wieser, Heinz-Gregor, Steinhoff, Bernhard J., Krämer, Günter, Hansen, Jörg, Dorn, Thomas, Kantanen, Anne-Mari, Gjerstad, Leif, Peuralinna, Terhi, Hernandez, Dena G., Eriksson, Kai J., Kälviäinen, Reetta K., Doherty, Colin P., Wood, Nicholas W., Pandolfo, Massimo, Duncan, John S., Sander, Josemir W., Delanty, Norman, Goldstein, David B., and Sisodiya, Sanjay M.

Published
2010
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7. 280 A screening questionnaire for transient loss of consciousness

Author

Howell Stephen J, Reuber Markus, Sisodiya Sanjay, Koepp Matthias, Jamnadas-Khoda Jenny, Broadhurst Mark, Walker Matthew, Grünewald Richard A, Wardrope Alistair, and Parry Steve

Subjects
Pediatrics, medicine.medical_specialty, Referral, business.industry, media_common.quotation_subject, 030204 cardiovascular system & hematology, medicine.disease, Triage, Screening questionnaire, 03 medical and health sciences, Psychiatry and Mental health, Epilepsy, 0302 clinical medicine, 030225 pediatrics, Medicine, Psychogenic disease, Surgery, Medical history, Neurology (clinical), Medical diagnosis, Consciousness, business, media_common
Abstract

BackgroundTransient loss of consciousness (TLOC) is a common primary care presentation. 90% are due to syncope (S), epilepsy (E), or psychogenic non-epileptic seizures (PNES). Misdiagnosis and delayed diagnosis is common. We explore symptoms and witness observations that can classify patients with likely diagnoses of E, S, or PNES.MethodsPatients with objectively-documented diagnoses of E, S, or PNES, and an attack witness, were invited to complete a questionnaire (capturing medical history, 86 peri-episodal experiences, and 31 witness observations). Iterative feature selection identified questions strongly predictive of diagnosis; a random forest trained on these classified patients into likely diagnoses of E, S, or PNES.Results249 patients (86 E, 79 s, 84 PNES) were randomly assigned to training or validation in a 2:1 ratio. Feature selection identified 36 highly-predictive questionnaire items. The classifier correctly diagnosed 86% of patients in validation. 100% of S were correctly diagnosed, 85.7% E and 75% PNES. A simpler 12-feature model correctly classified 76.7% of cases (E: 75%; S: 92.3%; PNES: 65.6%).ConclusionsTLOC-associated symptoms and manifestations can contribute to a decision rule for primary/emergency care, assisting triage and referral. Determining a diagnostic pre-test probability from TLOC features can aid interpretation of investigation abnormalities of uncertain significance.

Published
2018

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