R
Rajiv Mohanraj
Researcher at University of Salford
Publications - 24
Citations - 1670
Rajiv Mohanraj is an academic researcher from University of Salford. The author has contributed to research in topics: Epilepsy & Population. The author has an hindex of 14, co-authored 17 publications receiving 1543 citations. Previous affiliations of Rajiv Mohanraj include Western Infirmary.
Papers
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Journal ArticleDOI
Predictors of pharmacoresistant epilepsy.
TL;DR: The deleterious neurobiological processes that underpin depression, anxiety and psychosis may interact with those producing seizures to increase the extent of brain dysfunction and thereby the likelihood of developing pharmacoresistant epilepsy.
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Mortality in adults with newly diagnosed and chronic epilepsy: a retrospective comparative study
TL;DR: Mortality risks and preventive strategies should be discussed with patients with epilepsy when treatment fails or is refused despite recurrent seizures, particularly in those who had not responded to treatment.
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Lack of association between the C3435T polymorphism in the human multidrug resistance (MDR1) gene and response to antiepileptic drug treatment
Graeme J. Sills,Rajiv Mohanraj,Elaine Butler,Sheila McCrindle,Lindsay Collier,Elaine A. Wilson,Martin J. Brodie +6 more
TL;DR: Investigation of the prevalence of a polymorphism (C3435T) in the encoding gene (MDR1) of P‐glycoprotein in patients attending a specialist epilepsy clinic finds that it is more common in patients with pharmacoresistant epilepsy.
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Mortality in epilepsy.
TL;DR: Sudden unexpected death in epilepsy (SUDEP), status epilepticus (SE), suicides, and accidents are more frequently epilepsy-related, and poor compliance with treatment in patients with epilepsy accounts for a small proportion of deaths from SE.
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Early predictors of outcome in newly diagnosed epilepsy
Rajiv Mohanraj,Martin J. Brodie +1 more
TL;DR: Factors such as early response to medication, underlying aetiology, and number of seizures prior to initiation of treatment have consistently been found to be predictive of seizure outcomes.