Spectral electroencephalography profile of rapid eye movement sleep at sleep onset in narcolepsy type 1.

BACKGROUND AND PURPOSE: The sleep-onset rapid eye movement (REM) period (SOREMP), the hallmark of narcolepsy, may be a specific state and not the simple anticipation of REM sleep. METHODS: We analyzed the electroencephalographic spectral content in untreated patients with narcolepsy type 1 (NT1) during the sleep-onset period (SOP) and during nocturnal REM sleep in two consecutive nocturnal recordings from 31 patients with NT1 (mean age 34 ± 15 years, 18 males) and a single nocturnal recording from 36 controls (mean age 38 ± 13 years, 21 males). The SOP was defined as the first 10 min starting at the beginning of the first epoch of any sleep stage, and further divided into two consecutive 5-min periods (SOP-1 and SOP-2); 1 min of artifact-free quiet wakefulness after lights-off was identified as well as 5 min of REM sleep in the middle of the night and another 5 min during the last REM sleep period. Electroencephalographic spectral analysis was performed using the C3/A2 channel. RESULTS: The SOP-1 and, more strikingly, SOP-2 had significantly less delta and sigma activity in patients with NT1 in the SOREMP condition versus both controls and patients with NT1 without SOREMP. SOP-2 also showed less theta and alpha activity. Conversely, sigma and beta activity were more represented during SOREMP compared with the nocturnal REM period in patients with NT1. CONCLUSIONS: The analysis of the SOP supports the concept that SOREMP is a different state compared with both nocturnal REM sleep and non-REM sleep onset.

Neutrophil-to-lymphocyte ratio and lactate dehydrogenase as biomarkers for urothelial cancer treated with immunotherapy.

PURPOSE: To identify patients with metastatic urothelial cancer (mUC) unlikely to benefit from immune-checkpoint inhibitors (ICIs). METHODS/PATIENTS: We explored the predictive and prognostic values of baseline neutrophil-to-lymphocyte ratio (NLR), with cut-offs ≥ 3 and ≥ 5, and of a urothelial immune prognostic index (UIPI, based on increased NLR and LDH), on 146 patients. RESULTS: NLR and UIPI significantly predicted progressive disease and progression-free survival with both cut-offs (p = 0.0069, p = 0.0034, p = 0.0160, p = 0.0063; p < 0.001, p = 0.021, p = 0.014, p = 0.026; for NLR-3, NLR-5, UIPI-3, UIPI-5, respectively) and overall survival when NLR cut-off was ≥ 5 (p = 0.03 and p = 0.024, for NLR-5 and UIPI-5, respectively). CONCLUSIONS: NLR-5 deserves prospective validation to identify mUC patients with poor prognosis following ICIs.

EEG synchronisation during sleep-related epileptic seizures as a new tool to discriminate confusional arousals from paroxysmal arousals: preliminary findings.

Confusional arousals, paroxysmal arousals (as part of the nocturnal frontal lobe epilepsy) and normal arousals and awakenings from NREM sleep are frequently a challenge for differential diagnosis. In this article we describe the course of synchronisation between different EEG channels during nocturnal seizures in 3 patients with sleep-related epileptic seizures and in 1 patient with sleep terrors. The functional interactions between the different EEG channels during the nocturnal seizures were analysed by means of the so-called synchronisation likelihood (SL). SL is a measure of the dynamical (linear and nonlinear) interdependencies between a time series (EEG channel) and one or more other time series. The main results of our study are the confirmation of a significant increase in EEG synchronisation during sleep-related seizures and the indication that clinically similar ictal motor patterns might be generated by different neurophysiological mechanisms, characterised by different patterns of synchronisation involving multiple or single frequency bands. This new approach might be useful to differentiate motor seizures, emerging from NREM sleep, from parasomnias (arousal disorders) when both ictal and interictal EEGs are uninformative.