METHOD FOR PREDICTION OF DEVELOPING SYMPTOMATIC EPILEPSY ACCOMPANYING NEUROINFECTIONS IN CHILDREN Russian patent published in 2015 - IPC A61B5/476 A61B5/55 G01N33/569 

FIELD: medicine.

SUBSTANCE: recent comatose condition is detected; magnetic resonance imaging shows centres of cerebral structural changes; electroencephalography shows epileptiform activity, diffuse sharp waves, spikes, reduced complexes, high-amplitude low activity paroxysmal events, frequent paroxysmal events of 'peak-slow wave' and 'spike-slow wave' complexes. The EEG also shows irritant activity, local transient high-frequency beta-activity, advanced transient low-amplitude and advance continuous long-term high-amplitude activity. The presence of an aetiological agent of the disease caused by tick-borne encephalitis or the presence of encephalitis of other and uncertain aetiology is stated. The derived data are scored depending on the presence, absence and manifestations thereof. The derived data are used to calculate linear classification functions and to detect the favourable (LCF1) outcome of encephalitis without symptomatic epilepsy (SE) progression and the unfavourable (LCF2) outcome of encephalitis with SE progression. If LCF1>LCF2, the encephalitis outcome without SE progression is predicted, while LCF2>LCF1 shows the unfavourable outcome with SE progression.

EFFECT: method provides more reliable assessment of the SE progression in encephalitis that is ensured by taking into account additional EEG data and calculating the linear classification functions.

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