Older patients with COVID-19 and neuropsychiatric conditions: A study of risk factors for mortality.

BACKGROUND: Little is known about risk factors for mortality in older patients with COVID-19 and neuropsychiatric conditions. METHODS: We conducted a multicentric retrospective observational study at Assistance Publique-Hôpitaux de Paris. We selected inpatients aged 70 years or older, with COVID-19 and preexisting neuropsychiatric comorbidities and/or new neuropsychiatric manifestations. We examined demographics, comorbidities, functional status, and presentation including neuropsychiatric symptoms and disorders, as well as paraclinical data. Cox survival analysis was conducted to determine risk factors for mortality at 40 days after the first symptoms of COVID-19. RESULTS: Out of 191 patients included (median age 80 [interquartile range 74-87]), 135 (71%) had neuropsychiatric comorbidities including cognitive impairment (39%), cerebrovascular disease (22%), Parkinsonism (6%), and brain tumors (6%). A total of 152 (79%) patients presented new-onset neuropsychiatric manifestations including sensory symptoms (6%), motor deficit (11%), behavioral (18%) and cognitive (23%) disturbances, gait impairment (11%), and impaired consciousness (18%). The mortality rate at 40 days was 19.4%. A history of brain tumor or Parkinsonism or the occurrence of impaired consciousness were neurological factors associated with a higher risk of mortality. A lower Activities of Daily Living score (hazard ratio [HR] 0.69, 95% confidence interval [CI] 0.58-0.82), a neutrophil-to-lymphocyte ratio ≥ 9.9 (HR 5.69, 95% CI 2.69-12.0), and thrombocytopenia (HR 5.70, 95% CI 2.75-11.8) independently increased the risk of mortality (all p < .001). CONCLUSION: Understanding mortality risk factors in older inpatients with COVID-19 and neuropsychiatric conditions may be helpful to neurologists and geriatricians who manage these patients in clinical practice.

Prognostic value of electroencephalographic paroxysms in post-anoxic coma: A new regularity EEG-based score.

OBJECTIVES: Several electroencephalographic (EEG) features -mainly the reactivity of background activity-have been suggested as reliable predictors of outcome for patients with post-anoxic coma (PAC). However, EEG in PAC often contains abundant EEG paroxysms (EP) that may hinder the detection of background EEG activity. We aimed to identify the features, among the different paroxysmal and non-paroxysmal EEG patterns, that may predict the outcome of patients with PAC. METHODS: We retrospectively reviewed the clinical and EEG characteristics of 67 patients with PAC and selected those with abundant EP. We classified EP according to several features and assessed their prognostic value for survival at 15 days. We calculated a global regularity score, as the sum of the value (1 if regular, 0 if not) attributed to each of 4 features of EP (duration, morphology, amplitude, and frequency). RESULTS: The 35 patient-group with abundant EP showed a higher mortality than the group without abundant EP. Among 12 features of EP, four regularity features (regularity of EP duration, morphology, amplitude, and global regularity score) had a poor prognostic value. A global regularity score ≥ 3 showed a positive predictive value of 100 % for a poor outcome and a negative predictive value of 54 %, with good interrater consistency (Cohen's kappa = .63). CONCLUSIONS: The presence of EP and their regularity features in PAC patients are strongly associated with poor outcome. We propose a global regularity score, easily derived from visual EEG inspection, that may be a reliable prognostic tool for these patients. Prospective and larger studies are needed to confirm these findings.

Serum neuron-specific enolase: a new tool for seizure risk monitoring after status epilepticus.

BACKGROUND AND PURPOSE: There is a need for accurate biomarkers to monitor electroencephalography (EEG) activity and assess seizure risk in patients with acute brain injury. Seizure recurrence may lead to cellular alterations and subsequent neurological sequelae. Whether neuron-specific enolase (NSE) and S100-beta (S100B), brain injury biomarkers, can reflect EEG activity and help to evaluate the seizure risk was investigated. METHODS: Eleven patients, admitted to an intensive care unit for refractory status epilepticus, who underwent a minimum of 3 days of continuous EEG concomitantly with daily serum NSE and S100B assays were included. At 103 days the relationships between serum NSE and S100B levels and two EEG scores able to monitor the seizure risk were investigated. Biochemical biomarker thresholds able to predict seizure recurrence were sought. RESULTS: Only NSE levels positively correlated with EEG scores. Similar temporal dynamics were observed for the time courses of EEG scores and NSE levels. NSE levels above 17 ng/ml were associated with seizure in 71% of patients. An increase of more than 15% of NSE levels was associated with seizure recurrence in 80% of patients. CONCLUSIONS: Our study highlights the potential of NSE as a biomarker of EEG activity and to assess the risk of seizure recurrence.

Seizures in autoimmune encephalitis: specific features based on a systematic comparative study.

OBJECTIVE: To highlight specific characteristics of seizure semiology and EEG features associated with different subtypes of autoimmune encephalitis (AE). METHODS: We systematically reviewed the seizure semiology and all the EEG recordings from patients with AE managed in a tertiary referral centre for epilepsy and a neuro-intensive care unit. Each characteristic across the different subtypes of AE was compared by post hoc analysis. RESULTS: We identified 66 patients with anti-neuronal antibody-mediated AE or Rasmussen's encephalitis (RE) experiencing seizures, which were the most frequent symptom at onset. Anti-NMDAR and anti-LGI1 AE accounted for the majority of patients; 41% and 24%, respectively. We isolated specific semiological features, such as early tonic-clonic seizures (TCS) in anti-NMDAR AE, early mesial temporal lobe seizures with emotional symptoms in anti-GAD AE, somatosensory seizures in RE, and a lower frequency of TCS in anti-LGI1 AE. EEG analysis also provided additional insights into distinguishing the subtypes based on: (1) generalized rhythmic delta activity, which was more sensitive than extreme delta brush in identifying anti-NMDAR AE among all subtypes; and (2) temporal interictal epileptiform activity and temporal seizures on EEG in anti-GAD AE. We identified a new EEG pattern consisting of temporal low-voltage and periodic spikes associated with ipsilateral hippocampal abnormalities on MRI, which could be a sign of inflammatory mesial temporal involvement. SIGNIFICANCE: Specific clinical and EEG features can be useful in guiding the diagnosis of a subtype of AE with acute symptomatic seizures, particularly before the results of anti-neuronal antibody testing are available.

Clinical characteristics of sleep apnea in middle-old and oldest-old inpatients: symptoms and comorbidities.

BACKGROUND: Obstructive sleep apnea (OSA) is prevalent in older adults but still underdiagnosed for many reasons, such as underreported symptoms, non-specific ones because of the comorbidities and polypharmacy, or the social belief of sleep problems as normal with aging. OBJECTIVES: To identify salient symptoms and comorbidities associated with OSA, diagnosed by nocturnal respiratory polygraphy in geriatric inpatients. METHOD: We conducted a retrospective, cross-sectional study in a sample of 102 geriatric inpatients from a French Geriatric University Hospital. We reviewed medical records to collect demographic, medical information including comorbidities, the geriatric cumulative illness rating scale (CIRS-G), subjective sleep-related symptoms and data of overnight level three portable sleep polygraphy recording. RESULTS: Among classic OSA symptoms, only excessive daytime sleepiness (p = 0.02) and nocturnal choking (p = 0.03) were more prevalent in older inpatients with OSA (n = 64) than in those without (n = 38). The prevalence of comorbidities and mean CIRS-G scores were not different between groups except for the lower prevalence of chronic obstructive pulmonary disease and the higher level of creatinine clearance in OSA patients. Multivariate analysis showed OSA was associated with excessive daytime sleepiness (OR = 2.83, p = 0.02) in symptoms-related model and with composite CIRS-G score (OR 1.26, p = 0.04) in comorbidities-related model. CONCLUSIONS: Only excessive daytime sleepiness and comorbidity severity (composite CIRS-G score) were associated with the objective diagnosis of OSA, while other usual clinical OSA symptoms and comorbidities in geriatric inpatients were not. These findings emphasize the importance of excessive daytime sleepiness symptom, when reported in comorbid older patients, strongly suggesting OSA and requiring adequate nocturnal exploration.

Sleep scoring based on video-electroencephalography monitoring in an Epileptology Unit: Comparison with polysomnography.

The aim of the study was to compare the performance of video- electroencephalography (EEG) monitoring and standard polysomnography for sleep scoring in an Epileptology Unit. We calculated the level of agreement between two methods of sleep scoring, using either 27-electrode video-EEG or polysomnography for 1 night in 22 patients admitted to our Epileptology Unit. Independent experts manually scored sleep using the American Academy of Sleep Medicine 2017 guidelines. We evaluated the number of sleep cycles and their distribution on hypnogram, total sleep time, sleep efficiency, sleep and rapid eye movement sleep-onset latency, wake after sleep-onset, and sleep stages. We then extracted sub-samples of recordings to examine the agreement in microarousal and rapid eye movement scoring. We used Bland and Altman plots and Cohen's kappa test to measure agreement. Bland and Altman plots showed at least 95% agreement for all studied sleep parameters with the exception of wake after sleep onset, where there was an 11 min difference. Cohen's kappa test showed an agreement for the recognition of microarousal (0.89) and of rapid eye movements (0.96) in sub-samples. Video-EEG represents an acceptable alternative tool for sleep architecture study in patients admitted to an Epileptology Unit.

Association of Clinical, Biological, and Brain Magnetic Resonance Imaging Findings With Electroencephalographic Findings for Patients With COVID-19.

Importance: There is evidence of central nervous system impairments associated with coronavirus disease 2019 (COVID-19) infection, including encephalopathy. Multimodal monitoring of patients with COVID-19 may delineate the specific features of COVID-19-related encephalopathy and guide clinical management. Objectives: To investigate clinical, biological, and brain magnetic resonance imaging (MRI) findings in association with electroencephalographic (EEG) features for patients with COVID-19, and to better refine the features of COVID-19-related encephalopathy. Design, Setting, and Participants: This retrospective cohort study conducted in Pitié-Salpêtrière Hospital, Paris, France, enrolled 78 hospitalized adults who received a diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-Cov2) and underwent EEG between March 30 and June 11, 2020. Exposures: Detection of SARS-CoV-2 from a nasopharyngeal specimen using a reverse transcription-polymerase chain reaction assay or, in the case of associated pneumonia, on a computed tomography scan of the chest. Main Outcomes and Measures: Data on the clinical and paraclinical features of the 78 patients with COVID-19 were retrieved from electronic patient records. Results: Of 644 patients who were hospitalized for COVID-19, 78 (57 men [73%]; mean [SD] age, 61 [12] years) underwent EEG. The main indications for EEG were delirium, seizure-like events, and delayed awakening in the intensive care unit after stopping treatment with sedatives. Sixty-nine patients showed pathologic EEG findings, including metabolic-toxic encephalopathy features, frontal abnormalities, periodic discharges, and epileptic activities. Of 57 patients who underwent brain MRI, 41 showed abnormalities, including perfusion abnormalities, acute ischemic lesions, multiple microhemorrhages, and white matter-enhancing lesions. Fifty-five patients showed biological abnormalities, including dysnatremia, kidney failure, and liver dysfunction, the same day as the EEG. The results of cerebrospinal fluid analysis were negative for SARS-Cov-2 for all tested patients. Nine patients who had no identifiable cause of brain injury outside COVID-19 were further isolated; their brain injury was defined as COVID-19-related encephalopathy. They represented 1% (9 of 644) of patients with COVID-19 requiring hospitalization. Six of these 9 patients had movement disorders, 7 had frontal syndrome, 4 had brainstem impairment, 4 had periodic EEG discharges, and 3 had MRI white matter-enhancing lesions. Conclusions and Relevance: The results from this cohort of patients hospitalized with COVID-19 suggest there are clinical, EEG, and MRI patterns that could delineate specific COVID-19-related encephalopathy and guide treatment strategy.

Continuous EEG monitoring in the follow-up of convulsive status epilepticus patients: A proposal and preliminary validation of an EEG-based seizure build-up score (EaSiBUSSEs).

Continuous electroencephalography (EEG) is a major tool for monitoring patients admitted to the intensive care unit after refractory convulsive status epilepticus, following control of convulsive movements. We review the values of different EEG patterns observed in critically ill patients for prognosis and seizure risk, together with proposed criteria for non-convulsive status epilepticus diagnosis (Salzburg Criteria), the EEG scores for prognosis (Epidemiology-based Mortality score in Status Epilepticus, EMSE) and for seizure risk (2HELPS2B). These criteria and scores, based partially on continuous EEG, are not tailored to repetitively monitor the progressive build-up leading to seizure or status epilepticus recurrence. Therefore, we propose a new EEG-based seizure build-up score in status epilepticus (EaSiBUSSEs), based on the morphology and the prevalence of the EEG patterns observed in the follow-up of convulsive status epilepticus patients. It displays subscores from the least (no interictal activity) to the most associated with seizures (focal or generalized status epilepticus). We then evaluated the performance of the EaSiBUSSEs in a cohort of eleven patients who were admitted to intensive care unit for convulsive status epilepticus and who underwent continuous EEG recording. The receiver operating curve revealed good accuracy in identifying patients who would have seizures in the next 24 h, with excellent intra- and inter-rater reliability. We believe that this score is simple to perform, and suitable for repeated monitoring of EEG following refractory convulsive status epilepticus, with quantitative description of major EEG changes leading to seizures.

[Sleep habits and lifestyle of elderly patients with insomnia]. / Les habitudes de vie et de sommeil chez les patients âgés insomniaques.

Certain inappropriate routines can have a negative impact on sleep, leading to sleep disorders or even aggravating pre-existing sleep pathologies. An observational study of 176 patients aged 60 or over, suffering from chronic insomnia, has been carried out in order to find out more about these patients' sleep habits and lifestyles and to identify those that can be corrected to improve insomnia in this population.

Rapid eye movement sleep behavior disorder or epileptic seizure during sleep? A video analysis of motor events.

PURPOSE: To compare the motor semiology of sleep behavior disorder (RBD) during rapid eye movement (REM) with epileptic seizures in non-REM and REM sleep. METHODS: We analyzed the types and frequency of motor events from videos of patients with RBD (n = 15, mean age 64.8 years, 179 motor episodes) and patients with epilepsy (n = 15, mean age 34.4 years, 87 sleep-related epileptic seizures including 34 during REM sleep). RESULTS: Patients with sleep-related epileptic seizures more often woke up abruptly (28% vs. 0.3%), raised head/trunk (31% vs. 1.6%), opened their eyes (89% vs. 5%), had whole body movements (74% vs. 14%) or dystonic posturing (29% vs. 1.3%), manipulated objects in their environment (44% vs. 3.9%), as if emerging from sleep with ictal automatisms, and sniffed, coughed, or breathed differently during motor events. In contrast, RBD patients more often remained lying down with closed eyes (99% vs. 78%) as if still asleep, with non-stereotyped jerky movements (42% vs. 8%) and outward-directed behaviors (14% vs. 2%) than patients with epilepsy. There were no differences in violent behaviors and vocalizations between groups. Comparison with subgroups of REM or non-REM sleep seizures yielded many similar findings. CONCLUSION: These different motor patterns discriminate between RBD events and sleep-associated seizures, and could be used as an aid to differential diagnosis.

Diagnosis of Alzheimer's disease with Electroencephalography in a differential framework.

This study addresses the problem of Alzheimer's disease (AD) diagnosis with Electroencephalography (EEG). The use of EEG as a tool for AD diagnosis has been widely studied by comparing EEG signals of AD patients only to those of healthy subjects. By contrast, we perform automated EEG diagnosis in a differential diagnosis context using a new database, acquired in clinical conditions, which contains EEG data of 169 patients: subjective cognitive impairment (SCI) patients, mild cognitive impairment (MCI) patients, possible Alzheimer's disease (AD) patients, and patients with other pathologies. We show that two EEG features, namely epoch-based entropy (a measure of signal complexity) and bump modeling (a measure of synchrony) are sufficient for efficient discrimination between these groups. We studied the performance of our methodology for the automatic discrimination of possible AD patients from SCI patients and from patients with MCI or other pathologies. A classification accuracy of 91.6% (specificity = 100%, sensitivity = 87.8%) was obtained when discriminating SCI patients from possible AD patients and 81.8% to 88.8% accuracy was obtained for the 3-class classification of SCI, possible AD and other patients.

Understanding Lennox-Gastaut syndrome: insights from focal epilepsy patients with Lennox-Gastaut features.

To delineate the clinical and EEG features of adults with focal epilepsy associated with a generalized paroxysmal fast activity (GPFA) pattern on EEG who developed refractory seizures, notably drop attacks, but do not fulfill the classical triad for the diagnosis of Lennox-Gastaut syndrome (LGS) and provide further insight into LGS mechanisms. Among 957 patients admitted to video-EEG monitoring between 2002 and 2015, we retrospectively research adult patients with refractory focal epilepsy, drop attacks and GPFA on EEG. We collected demographic, anamnestic, and clinical data from medical records. We reviewed for all patients the interictal and ictal video-EEG recordings. We identified ten patients with focal epilepsy and electro-clinical features of LGS. As compared to classical LGS patients, our patients: (1) began epilepsy later (15.4 ± 8 years); (2) exhibited exclusively focal onset seizures, including drop attacks seizures linked to focal asymmetrical tonic posturing seizures; (3) had a stable cognition over time and (4) evolved favourably with a good secondary response to treatments in 80% of cases. Interestingly, all patients exhibited apparent diffuse interictal and ictal EEG abnormalities but a detailed analysis revealed that 50% had asymmetrical GPFA and 70% secondary bilateral synchrony processes. We may hypothesize here that a process of "secondary LGS" occurred which produced a worsening of seizures with the apparition of drop attacks and GPFA on EEG. This study brings arguments to consider that some cases of LGS could be linked to the development of a "secondary epileptic network" driven by a primary focal epileptic zone.

Predictive factors of long-term outcomes of surgery for mesial temporal lobe epilepsy associated with hippocampal sclerosis.

OBJECTIVE: The reasons for failure of surgical treatment for mesial temporal lobe epilepsy (MTLE) associated with hippocampal sclerosis (HS) remain unclear. This retrospective study analyzed seizure, cognitive, and psychiatric outcomes, searching for factors associated with seizure relapse or cognitive and psychiatric deterioration after MTLE-HS surgery. METHODS: Seizure, cognitive, and psychiatric outcomes were reviewed after 389 surgeries performed between 1990 and 2015 on patients aged 15-67 years at a tertiary center. Three surgical approaches were used: anterior temporal lobectomy (ATL; n = 209), transcortical selective amygdalohippocampectomy (SAH; n = 144), and transsylvian SAH (n = 36). RESULTS: With an average follow-up of 8.7 years (range = 1.0-25.2), seizure outcome was classified as Engel I in 83.7% and Engel Ia in 57.1% of patients. The histological classification of HS was type 1 for 75.3% of patients, type 2 for 18.7%, and type 3 for 1.2%. Two factors were significantly associated with seizure recurrence: past history of status epilepticus and preoperative intracranial electroencephalographic recording. In contrast, neither HS type, the presence of a dual pathology, nor surgical approach was associated with seizure outcome. Risk of cognitive impairment was 3.12 (95% confidence interval = 1.27-7.70), greater in patients after ATL than in patients after transcortical SAH. A presurgical psychiatric history and postoperative cognitive impairment were associated with poor psychiatric outcome. SIGNIFICANCE: The SAH and ATL approaches have similar beneficial effects on seizure control, whereas transcortical SAH tends to minimize cognitive deterioration after surgery. Variation in postsurgical outcome with the class of HS should be investigated further.

Complications After Surgery for Mesial Temporal Lobe Epilepsy Associated with Hippocampal Sclerosis.

BACKGROUND: Hippocampal sclerosis is the most common cause of drug-resistant epilepsy amenable for surgical treatment and seizure control. This study aimed to analyze morbidities related to surgery of mesial temporal lobe epilepsy associated with hippocampal sclerosis and to identify possible risk factors for complications. METHODS: A retrospective analysis of postoperative complications was made for 389 operations performed between 1990 and 2015 on patients aged 15-67 years (mean 36.8). Three surgical approaches were used: anterior temporal lobectomy (ATL) (n = 209), transcortical selective amygdalohippocampectomy (SAH) (n = 144), and transsylvian SAH (n = 36). Complications were classified as minor or major if there was a neurologic impairment or if further surgical or medical treatment was necessary. RESULTS: Complications followed 15.4% of operations. They were classed as major for 4.1% of patients, but there were no mortalities. Persistent neurologic deficits occurred in 0.5% of patients. In 3 cases (0.8%) additional surgery was necessary to treat an intracranial hematoma, a delayed hydrocephalus, and a subdural empyema. Symptomatic visual field defects (VFDs) were frequent and included contralateral superior quadrantanopia (8.2%) or hemianopia (1.3%). Overall complications (P = 0.04) and symptomatic VFDs (P = 0.04) were most frequent in operations on men. Major complications occurred most often with the ATL surgical approach than with transcortical SAH (P = 0.03). CONCLUSIONS: Major complications occur rarely after mesial temporal surgery on epileptic patients. They occur more often following the ATL rather than transcortical SAH approach. Complications tend to be temporary with symptoms of limited duration for surgery performed by experienced teams on carefully selected and evaluated patients.

Relationship between sleep parameters, insulin resistance and age-adjusted insulin like growth factor-1 score in non diabetic older patients.

BACKGROUND: Sleep complaints are prevalent in older patients. Sleepiness, short or long sleep duration and obstructive sleep apnea (OSA) are associated with insulin resistance (IR). These parameters have not yet been considered together in the same study exploring the possible association between IR and sleep in older patients. IR is involved in cardiovascular and metabolic diseases, pathologies which are highly prevalent in older patients. Here we assess, in older non-diabetic patients with sleep complaints, the associations between IR and sleep parameters objectively recorded by polysomnography (PSG) rather than self-report. The Growth Hormone/Insulin like growth factor-1 axis could play a role in the development of IR during sleep disorders. The second objective of this study was to analyze the association between sleep parameters and age-adjusted IGF-1 score, which could explain the association between OSA and IR. METHODS: 72 non-diabetic older patients, mean age 74.5 ± 7.8 years, were included in this observational study. We evaluated anthropometric measures, subjective and objective sleepiness, polysomnography, Homeostatic Model Assessment for IR (HOMA-IR) and age-adjusted IGF-1 score. A multivariate regression was used to determine factors associated with HOMA-IR. RESULTS: The 47 OSA patients were over-weight but not obese and had higher IR than the non-OSA patients. In multilinear regression analysis, apnea-hypopnea index was independently associated with IR after adjustment for several confounding factors. Neither IGF-1 level nor IGF-1 score were different in the two groups. CONCLUSIONS: We demonstrate that in non-diabetic older patients with sleep complaints, OSA is independently associated with IR, regardless of anthropometric measurements and sleep parameters (sleep duration/sleepiness/arousals). Targeting OSA to reduce IR could be useful in the elderly, although further exploration is required.

Medial temporal lobe epilepsy associated with hippocampal sclerosis is a distinctive syndrome.

Epileptic syndromes are distinctive disorders with specific features, which when taken together, permit a specific diagnosis. There is actually a debate on that medial temporal lobe epilepsy with hippocampal sclerosis is an epileptic syndrome. To address this issue, we searched for discriminative semiological features between temporal lobe epilepsy patients with hippocampal sclerosis (TLE-HS patients or group 1), TLE patients with medial structural lesion other than hippocampal sclerosis or in MRI-negative cases with medial onset on further investigations (group 2) and lateral TLE patients (LTLE or group 3). We retrospectively collected data from medical and EEG-video records of 523 TLE patients, referred for surgery to the Pitié-Salpêtrière Epileptology Unit between 1991 and 2014. We identified 389 patients belonging to group 1, 61 patients belonging to group 2, and 73 patients belonging to group 3 and performed a comparative analysis of their clinical data and surgical outcomes. TLE-HS patients (group 1): (1) began epilepsy earlier (11 ± 9 vs. 20 ± 10 vs. 15 ± 9 years); (2) exhibited more frequently early febrile convulsions (FC) (59 vs 7 vs 5%); (3) presented more: ictal gestural automatisms (90 vs 54 vs 67%), dystonic posturing (47 vs 20 vs 23%), and secondary generalized tonic-clonic seizures (GTCS) (70 vs 44% vs 48%) as compared to both groups 2 and 3 patients (all p < 0.001). With respect to auras, abdominal visceral auras were more reported by TLE-HS than by LTLE patients (49 vs 16%). Three cardinal criteria correctly classified 94% of patients into TLE-HS group: history of FC, dystonic posturing, and secondary GTCS. Postoperative outcome was significantly better in TLE-HS group than in the two other groups (p = 0.03 and 0.003). Our study demonstrates that cardinal criteria are reliably helpful to distinguish patients with TLE-HS from those with other TLE and may allow considering TLE-HS as a distinctive syndrome.

Exploration of sleep disorders in the elderly: which particularities?

There are many reasons to take into consideration the sleep disorders in the elderly. The sleep quality degrades with age and is strongly affected by medical conditions, intrinsic sleep disorders, or by a combination of these factors. Other age-related conditions such as severe dementia, dependence or living in institution worsen sleep disturbances in older people. When living alone elderly people, being cognitively impaired and medically disabled, may not be able to complain about sleep problems. Sleep disorders are thus underdiagnosed, unmarked, and insufficiently investigated in the elderly. In this heterogeneous population, sleep assessment should include a global geriatric approach and be individually adapted for each subject. The sleep interview must specially include medical comorbidities, medication uses, and aged-related changes of lifestyle such as retirement, loss of spouse, hospitalization or institutionalization. In the elderly with loss of autonomy, standard sleep assessment is not always adequate and must be replaced by shorter, simpler or observation-based tests such as the Sleep disorders inventory, Observation-based nocturnal sleep inventory, Observation and interview based diurnal sleepiness inventory. When sleep log is impossible, actimetry is an excellent alternative for studying sleep-wake rhythm. Ventilatory polygraphy is a simpler test for detecting sleep apnea than polysomnography. Utilization of sophisticated investigations should be discussed when the feasibility and usefulness is limited.

4h versus 1h-nap-video-EEG monitoring in an Epileptology Unit.

OBJECTIVE: To compare the performance of 4h-video EEG monitoring (VEEG) and 1h-nap-VEEG in an Epileptology Unit. METHODS: We examined short-term VEEG data from 196 patients admitted to characterize their: (i) clinical events; (ii) epileptic syndromes or (iii) state after status epilepticus or surgery. We compared the 4h-VEEG and 1h-nap-VEEG performances using three measures: (i) the capability to detect epileptic seizures (ES), psychogenic non-epileptic seizures (PNES), interictal epileptiform abnormalities (IEA) and sleep-related IEA; (ii) the usefulness to answer questions on referral; (iii) the sensitivity for the final diagnosis. RESULTS: The 4h-VEEG test recorded clinical events in 53.6% of 196 patients, IEA in 41.3%, sleep-related IEA in 34.7%, and was judged as useful in 66.8%. The 4h-VEEG was compared to the 1h-nap-VEEG in 129 patients. 4h-VEEG had a better capability to record clinical events (50.3% vs. 6.2%, p<0.001), a higher usefulness (63.5% vs. 37.2%, p<0.001), and a higher sensitivity for both ES (69.3% vs. 49.3%, p=0.0035) and PNES (61.3% vs. 15.4%, p=0.0014) than nap-EEG. CONCLUSIONS: This work found 4h-VEEG records were superior to the 1h-nap-VEEG test on the basis of three complementary measures, capability, usefulness and sensitivity. SIGNIFICANCE: 4h-VEEG is a useful alternative investigation tool in an Epileptology Unit.