Methods and apparatus for identifying an extreme epileptic state/event in a patient are provided. One method includes determining at least one of an autonomic index, a neurologic index, a metabolic index, an endocrine index, or a tissue stress index, where at least one determined index is based upon body data. The method also includes identifying a seizure event based upon the at least one determined index and determining at least one seizure severity index (SSI) value indicative of the severity of the seizure event. The method further includes comparing the determined at least one SSI value to at least one reference value and identifying an occurrence of an extreme seizure event, based upon the comparison of the determined SSI value to the at least one reference value. A non-transitory, computer readable program storage device is also provided. Another method for identifying an extreme seizure event in a patient includes determining at least one of an autonomic index, a neurologic index, a metabolic index, an endocrine index, or a tissue stress index, the indices being based upon body data. The method also includes identifying at least two seizure events based upon the at least one determined index and determining at least one seizure severity index (SSI) value related to at least one of the at least two seizure events. The method further calls for determining at least one inter-seizure interval (ISI) value related to the at least two seizure events and identifying an occurrence of a state of status epilepticus in the patient, based upon the determined SSI value and the determined ISI value.
