Association of Obstructive Sleep Apnea and Atrial Fibrillation in Acute Ischemic Stroke: A Cross-Sectional Study.

Background: There is a growing body of evidence suggesting a link between obstructive sleep apnea (OSA) and atrial fibrillation (AF). The primary objective of this study is to evaluate the association between OSA and AF in acute ischemic stroke. The secondary objective is to describe the clinical features of patients with acute ischemic stroke and concomitant OSA. Methods: We enrolled consecutive patients with acute ischemic stroke. All patients underwent full-night cardiorespiratory polygraphy. To determine if there is an association between AF and OSA, we compared the observed frequency of this association with the expected frequency from a random co-occurrence of the two conditions. Subsequently, patients with and without OSA were compared. Results: A total of 174 patients were enrolled (mean age 67.3 ± 11.6 years; 95 males). OSA and AF were present in 89 and 55 patients, respectively. The association OSA + AF was observed in 33/174 cases, which was not statistically different compared to the expected co-occurrence of the two conditions. Patients with OSA showed a higher neck circumference and body mass index, a higher prevalence of hypertension and dysphagia, and a higher number of central apneas/hypoapneas. In the multivariate analysis, dysphagia and hypertension were independent predictors of OSA. A positive correlation was observed between OSA severity, BMI, and neck circumference. The number of central apneas/hypoapneas was positively correlated with stroke severity. Conclusions: Our data suggest that OSA and AF are highly prevalent but not associated in acute stroke. Our findings support the hypothesis that OSA acts as an independent risk factor for stroke.

Dissociative episode and panic attacks triggered by pitolisant in a narcoleptic patient.

Pitolisant is a histamine 3-receptor antagonist/inverse agonist effective and safe for the treatment of excessive daytime sleepiness and cataplexy in narcolepsy. We report a 19-year-old woman affected by narcolepsy type 1 who presented panic attacks and dissociative symptoms induced by pitolisant. The patient medical history was unremarkable except that for familiarity for anxiety disorder and chronic insomnia. Moreover, a detailed psychometric evaluation revealed a profile of low resilience, a severe grade of depression, an anxiety trait and a propension to dissociative symptoms. Our report suggests that caution should be used in patients with predisposing factors to psychiatric disorders, especially during the first period of treatment with pitolisant. In consideration of the high prevalence of psychiatric comorbidities in narcolepsy, it seems worth to carefully investigate psychiatric background of narcoleptic patients.

Impact of delirium on the outcome of stroke: a prospective, observational, cohort study.

INTRODUCTION: Delirium is an acute fluctuating disorder of attention and awareness, which often complicates the clinical course of several conditions, including acute stroke. The aim of the present study was to determine whether delirium occurrence impacts the outcome of patients with acute stroke. METHODS: The study design is single center, prospective, observational. We consecutively enrolled patients admitted to the stroke unit from April to October 2020. Inclusion criteria were age ≥ 18 years and diagnosis of acute stroke. Exclusion criteria were stroke mimics, coma, and terminal conditions. All patients were screened for delirium upon admission, within 72 h, and whenever symptoms suggesting delirium occurred by means of the Confusion Assessment Method for Intensive Care Unit and the Richmond Agitation Sedation Scale. Outcomes were evaluated with the 90-days modified Rankin Scale (mRS) by telephone interview. RESULTS: The final study cohort consisted of 103 patients (62 men; median age 75 years, interquartile range 63-81). Thirty-one patients (30%) developed delirium. In the multivariate ordinal logistic regression, patients with delirium had higher mRS scores at 3 months (DLR + : mRS = 4 (3-6); DLR-: mRS = 1 (1-3); adjusted odds ratio = 4.83; CI = 1.88-12.35; p = 0.006). Delirium was a risk factor for death (mRS = 6) in the univariate logistic regression (OR 4.5, CI = 1.44-14.07; p = 0.010), but not in the adjusted analysis (OR 3.45; CI = 0.66-17.95; p = 0.142). Survival time during 90-days follow-up was shorter in the delirium group (Log Rank χ2 3.89; p = 0.048). CONCLUSION: Delirium negatively impacts the prognosis of patients with acute stroke. Patients with post-stroke delirium have a worse functional outcome and a shorter survival.

Heart rate variability and delirium in acute non-cardioembolic stroke: a prospective, cross-sectional, cohort study.

OBJECTIVES: Delirium is an acute fluctuating disorder of attention and awareness. It is associated with autonomic dysfunction and increased mortality. The primary endpoint of our study was to measure autonomic activity in acute stroke patients, by means of heart rate variability analysis, in order to identify autonomic modifications that can predispose to delirium. METHODS: Patients were consecutively enrolled from the stroke unit. Inclusion criteria were age ≥ 18 years and diagnosis of stroke with onset within the previous 72 h confirmed by neuroimaging. Exclusion criteria were atrial fibrillation, congestive heart failure, and conditions requiring intensive care unit. Patients were evaluated by means of Richmond Agitation Sedation Scale (RASS) and Confusion Assessment Method-Intensive Care Unit (CAM-ICU) at baseline, after 72 h, or when symptoms suggesting delirium occurred. For each patient, ECG was recorded at baseline assessment and HRV analysis was conducted on five consecutive minutes of artifact-free ECG traces. RESULTS: Fifty-six ECGs were available for analysis. During the study period, 11 patients developed delirium. Patients with and without delirium did not differ for sex, age, severity of stroke, and comorbidities. The delirium group had greater standard deviation of the heart rate (DLR - :9.16 ± 8.28; DLR + : 14.36 ± 5.55; p = 0.026) and lower power spectral density of the HF component (DLR - : 38.23 ± 19.23 n.u.; DLR + : 25.75 ± 8.77 n.u.; p = 0.031). CONCLUSIONS: Acute non-cardioembolic stroke patients with increased variability of heart rate and decreased vagal control are at risk for delirium.

Heart Rate Variability during Wake and Sleep in Huntington's Disease Patients: An Observational, Cross-Sectional, Cohort Study.

INTRODUCTION: Autonomic dysfunction has been reported as one of nonmotor manifestations of both presymptomatic and manifest Huntington's disease (HD). The aim of our study was to evaluate heart rate variability (HRV) during wake and sleep in a cohort of patients with manifest HD. METHODS: Thirty consecutive patients with manifest HD were enrolled, 14 men and 16 women, mean age 57.3 ± 12.2 years. All patients underwent full-night attended video polysomnography. HRV was analyzed during wake, NREM sleep, and REM sleep, in time and frequency domain. Results were compared with a control group of healthy volunteers matched for age and sex. RESULTS: During wake, HD patients presented significantly higher mean heart rate than controls (72.4 ± 9.6 vs. 58.1 ± 7.3 bpm; p < 0.001). During NREM sleep, HD patients showed higher mean heart rate (65.6 ± 11.1 vs. 48.8 ± 4.6 bpm; p < 0.001) and greater low frequency (LF) component of HRV (52.9 ± 22.6 vs. 35.5 ± 17.3 n.u.; p = 0.004). During REM sleep, we observed lower standard deviation of the RR interval in HD subjects (3.4 ± 2.2 vs. 3.7 ± 1.3 ms; p = 0.015). CONCLUSION: Our results show that HD patients have higher heart rate than controls, during wake and NREM, but not during REM sleep. Among HRV parameters, the most relevant difference regarded the LF component, which reflects, at least partially, the ortho-sympathetic output. Our results confirm the involvement of autonomic nervous system in HD and demonstrate that it is evident during both wake and sleep.

Delirium in acute stroke: A prospective, cross-sectional, cohort study.

BACKGROUND AND PURPOSE: Delirium is a neuropsychiatric disorder of attention and awareness that develops over a short time and fluctuates in severity. Although delirium has been extensively studied in intensive care units, the incidence of delirium in stroke units and its predictors in stroke patients need further investigation. The endpoints of our study were incidence of delirium in acute stroke and the risk factors that predispose to this condition. METHODS: Patients were consecutively enrolled in a stroke unit from April to October 2020. Inclusion criteria were: age ≥18 years, acute stroke and National Institute of Health Stroke Scale (NIHSS) score ≥1 at the time of clinical assessment of delirium. Exclusion criteria were: transient ischemic attack; absence of neuroimaging evidence of brain lesion; cerebral venous thrombosis; subarachnoid hemorrhage; and clinical conditions requiring intensive care unit treatment. All patients were evaluated by means of Richmond Agitation-Sedation Scale (RASS) and Confusion Assessment Method-Intensive Care Unit (CAM-ICU) scores at baseline, evaluations which were repeated within 72 h or when patients developed symptoms suggesting delirium. RESULTS: The overall incidence of delirium was 36/120 (30%). Delirium was associated with aphasia (odds ratio [OR] 9.77; confidence interval [CI] 1.2-79.6), chronic obstructive pulmonary disease (COPD; OR 16.67; CI 1.1-263.0), deep Fazekas score (OR 5.05; CI 1.7-14.8), and physical restraint (OR 45.02; CI 1.4-1411.5). Diabetes was associated with a lower incidence of delirium (OR 0.04; CI 0.026-0.7). CONCLUSIONS: Nearly one-third of patients (30%) had delirium in the acute phase of stroke. This finding supports the notion that delirium is a common complication of stroke. Delirium was associated with speech disorder, leukoencephalopathy, COPD and early use of physical restraint.

Effect of the COVID-19 pandemic and the lockdown measures on the local stroke network.

INTRODUCTION: The COVID-19 outbreak highly impacted the acute ischemic stroke care management. The primary end point of the study was to evaluate the impact of the COVID-19 outbreak and the following lockdown measures on our hub-and-spoke network; the secondary end point was to evaluate if the impact of the COVID-19 outbreak was different in hub-and-spoke centers. METHODS: This was a retrospective multicenter observational study conducted at the Stroke Units of Policlinico Gemelli, Ospedale San Filippo Neri, Ospedale di Belcolle, and Ospedale San Camillo de Lellis. We collected clinical reports of all consecutive patients admitted with diagnosis of acute ischemic stroke or transient ischemic attack (TIA) during the phase 1 of the lockdown period (11 March 2020-4 May 2020). As controls, we used all consecutive patients admitted for acute ischemic stroke or TIA in the same period of the previous year. RESULTS: A total of 156 and 142 clinical reports were collected in 2019 and 2020, respectively. During the COVID-19 outbreak, we observed a reduction of number of thrombolysis, a reduction of the length of hospitalization, and an increase of pneumonia. Regarding performance indicators, we observed an increase in onset-to-door time and in door-to-groin time. We did not observe any statistically significant interaction between year (2019 vs 2020) and facility of admission (hub vs spoke) on all variables analyzed. DISCUSSION: Our observational study, involving hub-and-spoke stroke network of a wide regional area, indicates that the COVID-19 outbreak impacted on the acute stroke management. This impact was equally observed in hub as well as in spoke centers.

An Italian Neurology Outpatient Clinic Facing SARS-CoV-2 Pandemic: Data From 2,167 Patients.

Objective: Neurological sequelae of SARS-CoV-2 infection have already been reported, but there is insufficient data about the impact of the pandemic on the management of the patients with chronic neurological diseases. We aim to analyze the effect of COVID-19 pandemic and social restriction rules on these fragile patients. Methods: Patients with chronic neurologic diseases routinely followed at the outpatient clinic of Gemelli University Hospital, Rome, were assessed for symptoms suggestive of SARS-CoV-2 infection in the pandemic period, consequences of social restrictions, and neurological disease features, concomitant medical conditions, current medical and disease-specific treatments. Data source: a dedicated telephone survey designed to encompass questions on COVID-19 symptoms and on pandemic effects in chronic neurologic conditions. Results: Overall, 2,167 individuals were analyzed: 63 patients reported contact with COVID-19 positive cases, 41 performed the swab, and 2 symptomatic patients tested positive for COVID-19 (0.09%). One hundred fifty-eight individuals (7%) needed urgent neurological care, deferred due to the pandemic; 641 patients (30%) suspended hospital treatments, physiotherapy or other support interventions; 405 individuals (19%) reported a subjective worsening of neurological symptoms. Conclusions: In our population, the presence of neurological chronic diseases did not increase the prevalence of COVID-19 infection. Nevertheless, the burden of neurological disorders has been worsened by the lockdown.