Objective:To understand the current situation of fear of dementia among the elderly in Changsha and its related factors in order to provide empirical evidence for lowering the level of dementia fear among the elderly and formulating effective strategies.Methods:From July to September 2022, 300 elderly people living in communities in Changsha were surveyed using a random sampling method.Data were collected via a questionnaire for general information, the Fear of Dementia Scale, the Social Support Rating Scale, and the Generalized Anxiety Disorder Scale, and multiple linear regression was used to analyze related factors for fear of dementia in the elderly.Results:For elderly people in Changsha, the fear of dementia score was 46.00(33.25, 59.00), the social support score was 40.00(34.00, 44.75), and the generalized anxiety disorder score was 3.00(2.00, 4.00).According to analysis by Spearman's correlation, the level of fear of dementia among the elderly in Changsha was positively correlated to the level of generalized anxiety( r=0.232, P<0.01)and negatively correlated to the level of social support( r=-0.226, P<0.01).Multiple linear regression analysis revealed that level of education( β=-2.385, t=-3.201, P=0.002), family history of dementia( β=10.801, t=4.151, P<0.001), frequency of physical examination( β=-2.601, t=-3.497, P=0.001), and social support( β=-0.347, t=-3.093, P=0.002)were related factors for fear of dementia in the elderly in Changsha. Conclusions:Fear of dementia among the elderly in Changsha is at a moderate level, and there is no widespread generalized anxiety.Family history of dementia, education level, frequency of physical examination, and level of social support are relevant factors for fear of dementia.To lessen the level of fear of dementia, specific intervention methods should be formulated according to the relevant factors.

Objective This research was to evaluate the integrity of visual pathways in patients with Parkinson disease(PD)by visual evoked potential(VEP),especially those with visual hallucinations.Methods A total of 76 PD patients were enrolled in this study.According to the presence or absence of visual hallucinations,they were divided into two groups:24 patients with visual hallucinations and 52 patients without visual hallucinations.At the same time,22 sex-and age-matched healthy controls were selected.All subjects underwent VEP test,and Unified Parkinson's Disease Rating Scale(UPDRS),Hoehn&Yahr stage(H-Y stage)and Mini-mental State Examination(MMSE)were performed for PD patients.Results The latencies of N75,P100 and N135(88.26±10.47)ms,(118.48±8.53)ms,(144.71±9.48)ms were significantly longer in PD patients with visual hallucinations than in those without visual hallucinations[(79.00±6.96)ms,(108.60±7.01)ms,(135.95±8.21)ms](P<0.001).However,the amplitudes of N75-P100 and N135-P100[4.35(2.73,7.30)μV]、[6.40(4.15,9.90)μV]were significantly lower in PD patients with visual hallucinations than in those without visual hallucinations[7.10(5.28,9.98)μV]、[9.05(6.30,12.60)μV](P<0.001,P=0.037).Correlation analysis showed that P100 latency was positively correlated with H-Y stage,UPDRS-I,UPDRS-II,and UPDRS-III scores(r=0.537,P=0.007),(r=0.635,P=0.001),(r=0.594,P=0.004)and(r=0.558,P=0.005)in PD visual hallucinations group.Conclusion The integrity of the visual pathway is impaired in PD patients with visual hallucinations.As the progression of the disease,the impairment of visual pathway may be further deteriorated,which may extend beyond the upper pathways of visual pathway to the brain.

The vegetative state is a complex condition with unclear mechanisms and limited diagnostic, prognostic, and therapeutic methods. In this study, we aimed to explore the proteomic profile of tears from patients in a traumatic vegetative state and identify potential diagnostic markers using tears-a body fluid that can be collected non-invasively. Using iTRAQ quantitative proteomic technology, in the discovery phase, tear samples collected from 16 patients in a traumatic vegetative state and 16 normal individuals were analyzed. Among 1080 identified tear proteins, 57 were upregulated and 15 were downregulated in the patients compared to the controls. Bioinformatics analysis revealed that the differentially-expressed proteins were mainly involved in the wound response and immune response signaling pathways. Furthermore, we verified the levels of 7 differentially-expressed proteins in tears from 50 traumatic vegetative state patients and 50 normal controls (including the samples used in the discovery phase) using ELISA. The results showed that this 7-protein panel had a high discrimination ability for traumatic vegetative state (area under the curve = 0.999). In summary, the altered tear proteomic profile identified in this study provides a basis for potential tear protein markers for diagnosis and prognosis of the traumatic vegetative state and also provides novel insights into the mechanisms of traumatic vegetative state.
Adult ; Aged ; Aged, 80 and over ; Biomarkers ; metabolism ; Chromatography, Liquid ; Enzyme-Linked Immunosorbent Assay ; Eye Proteins ; metabolism ; Female ; Humans ; Male ; Mass Spectrometry ; Middle Aged ; Persistent Vegetative State ; metabolism ; Proteome ; Proteomics ; ROC Curve ; Tears ; metabolism ; Young Adult

Prognostication of coma patients after brain injury is important, yet challenging. In this study, we evaluated the predictive value of amplitude-integrated electroencephalography (aEEG) for neurological outcomes in coma patients. From January 2013 to January 2016, 128 coma patients after acute brain injury were prospectively enrolled and monitored with aEEG. The 6-month neurological outcome was evaluated using the Cerebral Performance Category Scale. aEEG monitoring commenced at a median of 7.5 days after coma onset. Continuous normal voltage predicted a good 6-month neurological outcome with a sensitivity of 93.6% and specificity of 85.2%. In contrast, continuous extremely low voltage, burst-suppression, or a flat tracing was correlated with poor 6-month neurological outcome with a sensitivity of 76.5% and specificity of 100%. In conclusion, aEEG is a promising predictor of 6-month neurological outcome for coma patients after acute brain injury.
Brain ; physiopathology ; Brain Injuries ; complications ; diagnosis ; physiopathology ; Coma ; diagnosis ; etiology ; physiopathology ; Electroencephalography ; methods ; Female ; Follow-Up Studies ; Humans ; Male ; Middle Aged ; Neurophysiological Monitoring ; methods ; Prognosis ; Prospective Studies ; Sensitivity and Specificity ; Severity of Illness Index