Abstract:Associations between sleep disorders and neurological autoimmunity have been notably expanding recently. Potential immune-mediated etiopathogenesis has been proposed for various sleep disorders including narcolepsy, Kleine-Levin syndrome, and Morvan syndrome. Sleep manifestations are also common in various autoimmune neurological syndromes, but may be underestimated as overriding presenting (and potentially dangerous) neurological symptoms often require more urgent attention. Even so, sleep dysfunction has bee… Show more
“…34 And associations between various sleeping disorders and neurological autoimmunity have been notably reported, also sleeping manifestations were common in autoimmune neurological syndromes. 35 Studies about celiac disease showed anti-neuronal antibodies to CNS was higher with neurological symptoms than without neurological symptoms. 36 Anxiety and depression were very common in functional gastrointestinal disorders, we tried to find the relationship between anti-neuronal antibodies with anxiety and depression in IBS patients but the correlation was negative.…”
Section: Discussionmentioning
confidence: 99%
“…Serum and cerebrospinal fluid anti‐neuronal antibodies were detected in patients with headache with neurological deficits 34 . And associations between various sleeping disorders and neurological autoimmunity have been notably reported, also sleeping manifestations were common in autoimmune neurological syndromes 35 . Studies about celiac disease showed anti‐neuronal antibodies to CNS was higher with neurological symptoms than without neurological symptoms 36 .…”
BackgroundImmune factors were involved in the pathophysiology of irritable bowel syndrome (IBS). The aim of the study was to test anti‐neuronal antibodies in sera of IBS patients and demonstrate their correlations with IBS profiles and psychological disorders.MethodsPatients with IBS met Rome III criteria and excluded organic diseases were enrolled. Controls included healthy subjects (HS), slow transit functional constipation, autoimmune diseases, and so on. Indirect immunofluorescence with monkey cerebellum and small intestine as substrates was used to detect anti‐neuronal antibodies including anti‐cerebral neuronal antibodies (ACNA) and anti‐enteric neuronal antibodies (AENA).ResultsA total of 293 IBS patients, 100 HS and 153 disease controls were included in this study. The ACNA positive rate of IBS patients was significantly higher than HS (14% vs. 6%, p = 0.033). The positive rate of ACNA was significantly lower than AENA (14.0% vs. 76.8%, p = 0.028) in IBS patients. The prevalence of headache and sleeping disorder were higher in ACNA‐positive IBS patients than ACNA‐negative IBS patients (61% vs. 42.9%, p = 0.03; 75.6% vs. 57.1%, p = 0.03, respectively). Among IBS patients, ACNA and AENA were both negative in 21.8% patients, ACNA negative and AENA positive in 64.2% patients, and ACNA and AENA were both positive in 12.6% patients. There were no significant differences of intestinal symptoms among the three groups, while the prevalence of headache (64.9% vs. 37.5% and 44.7%, p = 0.03) and sleeping disorder (78.4% vs. 50.0% and 59.6%, p = 0.02) were higher in patients with both ACNA and AENA positive than patients with both ACNA and AENA negative, patients with ACNA negative and AENA positive. There were no significant differences of the prevalence of depression and anxiety, HAMD, and HAMA scores among the three groups.Conclusions and inferencesAnti‐neuronal antibodies in sera of IBS patients were mainly targeted to enteric neurons and in a small part to cerebral neurons. ACNA were closely related to headache and sleeping disorder but unrelated to intestinal symptoms, depression, or anxiety of IBS patients.
“…34 And associations between various sleeping disorders and neurological autoimmunity have been notably reported, also sleeping manifestations were common in autoimmune neurological syndromes. 35 Studies about celiac disease showed anti-neuronal antibodies to CNS was higher with neurological symptoms than without neurological symptoms. 36 Anxiety and depression were very common in functional gastrointestinal disorders, we tried to find the relationship between anti-neuronal antibodies with anxiety and depression in IBS patients but the correlation was negative.…”
Section: Discussionmentioning
confidence: 99%
“…Serum and cerebrospinal fluid anti‐neuronal antibodies were detected in patients with headache with neurological deficits 34 . And associations between various sleeping disorders and neurological autoimmunity have been notably reported, also sleeping manifestations were common in autoimmune neurological syndromes 35 . Studies about celiac disease showed anti‐neuronal antibodies to CNS was higher with neurological symptoms than without neurological symptoms 36 .…”
BackgroundImmune factors were involved in the pathophysiology of irritable bowel syndrome (IBS). The aim of the study was to test anti‐neuronal antibodies in sera of IBS patients and demonstrate their correlations with IBS profiles and psychological disorders.MethodsPatients with IBS met Rome III criteria and excluded organic diseases were enrolled. Controls included healthy subjects (HS), slow transit functional constipation, autoimmune diseases, and so on. Indirect immunofluorescence with monkey cerebellum and small intestine as substrates was used to detect anti‐neuronal antibodies including anti‐cerebral neuronal antibodies (ACNA) and anti‐enteric neuronal antibodies (AENA).ResultsA total of 293 IBS patients, 100 HS and 153 disease controls were included in this study. The ACNA positive rate of IBS patients was significantly higher than HS (14% vs. 6%, p = 0.033). The positive rate of ACNA was significantly lower than AENA (14.0% vs. 76.8%, p = 0.028) in IBS patients. The prevalence of headache and sleeping disorder were higher in ACNA‐positive IBS patients than ACNA‐negative IBS patients (61% vs. 42.9%, p = 0.03; 75.6% vs. 57.1%, p = 0.03, respectively). Among IBS patients, ACNA and AENA were both negative in 21.8% patients, ACNA negative and AENA positive in 64.2% patients, and ACNA and AENA were both positive in 12.6% patients. There were no significant differences of intestinal symptoms among the three groups, while the prevalence of headache (64.9% vs. 37.5% and 44.7%, p = 0.03) and sleeping disorder (78.4% vs. 50.0% and 59.6%, p = 0.02) were higher in patients with both ACNA and AENA positive than patients with both ACNA and AENA negative, patients with ACNA negative and AENA positive. There were no significant differences of the prevalence of depression and anxiety, HAMD, and HAMA scores among the three groups.Conclusions and inferencesAnti‐neuronal antibodies in sera of IBS patients were mainly targeted to enteric neurons and in a small part to cerebral neurons. ACNA were closely related to headache and sleeping disorder but unrelated to intestinal symptoms, depression, or anxiety of IBS patients.
“…Sleep disturbances: Sleep disturbances are also common in patients with AE[ 41 ]. Sleep dysfunctions have also been described in association with various neuron-specific antibody biomarkers, including IgLON5, LGI1, CASPR2, NMDA receptor, and Ma2.…”
BACKGROUND
Anti-leucine-rich glioma inactivated protein 1 (anti-LGI1) encephalitis is an infrequent type of autoimmune encephalitis (AE) characterized by acute or subacute cognitive and psychiatric disturbance, facio-brachial dystonic seizures (FBDSs), and hyponatremia. Anti-LGI1 AE has increasingly been considered a primary form of AE. Early identification and treatment of this disease are clearly very important.
CASE SUMMARY
Here, we report that a male patient developed severe anti-LGI1 encephalitis, which was initially misdiagnosed as a sleep disturbance. He was hospitalized for epileptic seizures and typical FBDSs half a month after he developed sleep disturbances. LGI1 antibodies were detected in his cerebrospinal fluid and serum (1:100 and 1:3.2, respectively), which led to the diagnosis of classic anti-LGI1 AE. No obvious abnormality was observed on brain computed tomography images. T2-weighted fluid-attenuated inversion recovery and T2-weighted scans of brain magnetic resonance imaging (MRI) showed slightly elevated signals within the left basal ganglia area. No tumor was detected within the brain of this patient using MRI. After hormone and antiepileptic drug treatment, the patient’s symptoms improved significantly.
CONCLUSION
Anti-LGI1 antibody-associated encephalitis has characteristic clinical manifestations, such as cognitive impairment, psychiatric symptoms, seizures, sleep disorders, hyponatremia, and FBDSs. LGI1 antibodies are present in the serum and/or cerebrospinal fluid, but their production is sensitive to immunosuppressants, and this disease has a relatively good prognosis. In particular, we should be aware of the possibility of anti-LGI1 antibody-associated encephalitis in adolescents with sleep disorders to avoid missed diagnoses and misdiagnoses.
“…18 Sleep disturbance is a medical disorder of sleep patterns and the most signi cant cause of multiple psychological disorders and somatic diseases. [19][20][21] The early identi cation of nurses at higher risk of sleep disturbances is critical to nursing career development. Gender, age, anxiety, night shift, etc have identi ed multiple predictors to signi cantly correlated with sleep disturbance.…”
Background:To develop a Nomogram and a Artificial Neural Network (ANN) model to predict sleep disturbance in clinical nurses.
Methods:A cross-sectional study was conducted from August 2021 to June 2022 ,434 clinical nurses participated in the study and completed questionnaires. They were randomly distributed in a 7:3 ratio between training and validation cohorts.Nomogram and ANN model were developed using predictors of sleep disturbance identified by univariate and multivariate analyses in the training cohort; The 1000 bootstrap resampling and receiver operating characteristic curve (ROC) were used to evaluate the predictive accuracy in the training and validation cohorts.
Results:Sleep disturbance was found in 180 of 304 nurses(59.2%) in the training cohort and 80 of 130 nurses (61.5%) in the validation cohort.Age, chronic diseases, anxiety, depression, burnout, and fatigue were identified as risk factors for sleep disturbance. The calibration curves of the two models are well-fitted. The sensitivity and specificity (95% CI) of the models were calculated, resulting in sensitivity of 83.9%(77.5–88.8%)and 88.8% (79.2–94.4%) and specificity of83.1% (75.0–89.0%) and 74.0% (59.4–84.9%) for the training and validation cohorts, respectively.
Conclusions:The sleep disturbance risk prediction models constructed in this study have good consistency and prediction efficiency, and can effectively predict the occurrence of sleep disturbance in clinical nurses.
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