Machine learning as a diagnostic decision aid for patients with transient loss of consciousness.

Background: Transient loss of consciousness (TLOC) is a common reason for presentation to primary/emergency care; over 90% are because of epilepsy, syncope, or psychogenic non-epileptic seizures (PNES). Misdiagnoses are common, and there are currently no validated decision rules to aid diagnosis and management. We seek to explore the utility of machine-learning techniques to develop a short diagnostic instrument by extracting features with optimal discriminatory values from responses to detailed questionnaires about TLOC manifestations and comorbidities (86 questions to patients, 31 to TLOC witnesses).

Value of witness observations in the differential diagnosis of transient loss of consciousness.

Objective: This retrospective study explores to what extent additional information from event witnesses provided using the novel 31-item Paroxysmal Event Observer (PEO) Questionnaire improves the differentiation among epilepsy, syncope, and psychogenic nonepileptic seizures (PNES) achievable with information provided by patients alone.

Methods: Patients with transient loss of consciousness caused by proven epilepsy (n = 86), syncope (n = 79), or PNES (n = 84) attending specialist neurology/syncope services in the United Kingdom and event observers provided Paroxysmal Event Profile (PEP), PEO, and personal information (PI) (e.g.

Value of patient-reported symptoms in the diagnosis of transient loss of consciousness.

Objective: Epileptic seizures, syncope, and psychogenic nonepileptic seizures (PNES) account for over 90% of presentations with transient loss of consciousness (TLOC). The patient's history is crucial for the diagnosis, but the diagnostic value of individual semiologic features is limited. This study explores the diagnostic potential of a comprehensive questionnaire focusing on TLOC-associated symptoms.

Psychogenic nonepileptic seizure manifestations reported by patients and witnesses.

Purpose: Psychogenic nonepileptic seizures (PNES) continue to represent a serious diagnostic challenge for neurologists. Video-electroencephalography (EEG) studies have provided detailed knowledge of the spectrum of visible PNES manifestations. However, little is known about how patients or seizure witnesses experience PNES, although many diagnoses in seizure clinics are made on the basis of self-reported information rather than video-EEG observations.

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

Partial epilepsies have a substantial heritability. However, the actual genetic causes are largely unknown. In contrast to many other common diseases for which genetic association-studies have successfully revealed common variants associated with disease risk, the role of common variation in partial epilepsies has not yet been explored in a well-powered study.

Are current recommendations to diagnose orthostatic hypotension in Parkinson's disease satisfactory?

We interviewed 50 Parkinson's disease (PD) patients using a questionnaire to verify the reliability of orthostatic symptoms in warning the presence of orthostatic hypotension (OH). OH is defined as 20 mm Hg systolic or 10 mm Hg diastolic BP fall within 3 min of tilting or standing but if this fall occurs after 3 min we called it 'late OH' (L-OH). We compared if OH in Parkinson's disease (PD) was more frequent after head-up tilt or on standing and if the period of postural challenge matters in detecting OH.