Globus sensation in obstructive sleep apnea patients; A cross-sectional study of 120 patients.

PURPOSE: Globus pharyngeus (GP) is a common complaint in many disciplines, especially otolaryngology. Pharyngeal symptoms and abnormalities, including GP, are frequent in obstructive sleep apnea (OSA) patients. This study aims to investigate globus sensation in non-operated OSA patients. METHODS: After translation and validation, the Laryngopharyngeal Measure of Perceived Sensation (LUMP) was administered to 120 untreated OSA patients. All patients underwent polysomnography and thorough physical examination. The association between LUMP scores and OSA measures was evaluated. RESULTS: LUMP score had a significant correlation with the Epworth Sleepiness Scale (ESS) (Spearman's ρ = 0.269, p = 0.004), and BMI (Spearman's ρ = 0.249, p = 0.007), the anatomical position of the tongue (ρ = -0.191, p = 0.04) and the Friedman grade of tonsils (ρ = 0.241, p = 0.01). It correlated with SpO2 nadir, though it did not reach statistical significance. CONCLUSION: The results of our study depict a relationship between a self-report measure of globus sensation and daytime sleepiness, BMI and tonsil size. In the absence of a direct relationship between OSA severity parameters and GP, we hypothesize a role for shared comorbidities and anatomical phenotypes. The increased frequency of GP in OSA patients should be considered when evaluating the complications of surgical interventions in these patients.

Clinical Functional Seizure Score (CFSS): a simple algorithm for clinicians to suspect functional seizures.

Purpose: Distinguishing functional seizures (FS) from epileptic seizures (ES) poses a challenge due to similar clinical manifestations. The creation of a clinical scoring system that assists in accurately diagnosing patients with FS would be a valuable contribution to medical practice. This score has the potential to enhance clinical decision-making and facilitate prompt diagnosis of patients with FS. Methods: Participants who met the inclusion criteria were randomly divided into three distinct groups: training, validation, and test cohorts. Demographic and semiological variables were analyzed in the training cohort by univariate analyses. Variables that showed a significant difference between FS and ES were then further scrutinized in two multivariate logistic regression models. The CFSS was developed based on the odds ratio of the discriminating variables. Using the validation group, the optimal cutoff value was determined based on the AUC, and then the CFSS was evaluated in the test cohort to assess its performance. Results: The developed score yielded an AUC of 0.78 in the validation cohort, and a cutoff point of 6 was established with a focus on maximizing sensitivity without significantly compromising specificity. The score was then applied in the test cohort, where it achieved a sensitivity of 86.96% and a specificity of 73.81%. Conclusion: We have developed a new tool that shows promising results in identifying patients suspicious of FS. With further analysis through prospective studies, this innovative, simple tool can be integrated into the diagnostic process of FS.

Central neuroinflammation in Covid-19: a systematic review of 182 cases with encephalitis, acute disseminated encephalomyelitis, and necrotizing encephalopathies.

Growing evidence demonstrates the association of encephalitis, meningoencephalitis or encephalomyelitis, with SARS-CoV-2 infection. This study aims to determine the profile and possible mechanisms behind CNS inflammatory diseases in the context of Covid-19. We conducted a systematic review of case reports on Covid-19-related encephalitis, meningoencephalitis, acute necrotizing encephalitis, and acute disseminated encephalomyelitis in adults, published before January 2021. A total of 182 cases (encephalitis = 109, meningoencephalitis = 26, acute disseminated encephalomyelitis = 35, acute necrotizing (hemorrhagic) encephalitis = 12) were included. While cerebrospinal fluid (CSF) pleocytosis and increased protein level was present in less than 50%, magnetic resonance imaging (MRI) and electroencephalogram (EEG) were abnormal in 78 and 93.2% of all cases, respectively. Viral particles were detected in cerebrospinal fluid of only 13 patients and autoantibodies were present in seven patients. All patients presented with altered mental status, either in the form of impaired consciousness or psychological/cognitive decline. Seizure, cranial nerve signs, motor, and reflex abnormalities were among associated symptoms. Covid-19-associated encephalitis presents with a distinctive profile requiring thorough diagnosis and thereby a comprehensive knowledge of the disease. The clinical profile of brain inflammation in Covid-19 exhibits majority of abnormal imaging and electroencephalography findings with mild/moderate pleocytosis or proteinorrhachia as prevalent as normal cerebrospinal fluid (CSF). Oligoclonal bands and autoantibody assessments are useful in further evaluating neuro-covid patients, as supported by our pooled evidence. Despite the possibility that direct viral invasion cannot be easily estimated, it is still more likely that immune-mediated or autoimmune reactions play a more important role in SARS-CoV-2 neuroinflammation.