Objective To investigate the neural processing characteristics of the top-down pathway in adults with amblyopia during face perception tasks,with a focus on event-related potential components(P1,N170),thereby elucida-ting the role of top-down pathways in face cognition.Methods Sixteen amblyopic patients(amblyopia group)and fif-teen healthy controls(control group)were recruited.Participants performed a face perception task designed in E-Prime 3.0,while behavioral metrics[false alarm rate(FAR),reaction time(RT)]and neural responses were recorded using a 64-channel EEG cap.EEG data underwent time-domain analysis,comparing group differences in behavioral performance and neurophysiological responses(mean amplitudes of P1 and N170 components).Results Preliminary behavioral analy-sis showed no significant differences in FAR or RT between groups(all P＞0.05).No significant differences were observed in P1 amplitude across any main effects or interactions(all P＞0.05).The mean P1 amplitude did not differ significantly between the amblyopia and control groups(P＞0.05).For the N170 component,significant main effects and interactions were identified across electrode sites and experimental conditions:electrode main effect:F(3,63)=29.064,P=0.000,η2=0.581;condition main effect:F(2,42)=23.677,P=0.000,η2=0.530;electrode × condition interaction:F(6,126)=5.846,P=0.002,η2=0.218.Notably,the mean N170 amplitude showed no significant group difference between amblyopic patients and healthy controls(P＞0.05).Conclusion Early visual processing(P1)remains intact in amblyopic patients,where-as altered N170 dynamics across electrodes and conditions suggest compensatory engagement of top-down pathways during face recognition in amblyopia.

Objective To investigate the neural processing characteristics of the top-down pathway in adults with amblyopia during face perception tasks,with a focus on event-related potential components(P1,N170),thereby elucida-ting the role of top-down pathways in face cognition.Methods Sixteen amblyopic patients(amblyopia group)and fif-teen healthy controls(control group)were recruited.Participants performed a face perception task designed in E-Prime 3.0,while behavioral metrics[false alarm rate(FAR),reaction time(RT)]and neural responses were recorded using a 64-channel EEG cap.EEG data underwent time-domain analysis,comparing group differences in behavioral performance and neurophysiological responses(mean amplitudes of P1 and N170 components).Results Preliminary behavioral analy-sis showed no significant differences in FAR or RT between groups(all P＞0.05).No significant differences were observed in P1 amplitude across any main effects or interactions(all P＞0.05).The mean P1 amplitude did not differ significantly between the amblyopia and control groups(P＞0.05).For the N170 component,significant main effects and interactions were identified across electrode sites and experimental conditions:electrode main effect:F(3,63)=29.064,P=0.000,η2=0.581;condition main effect:F(2,42)=23.677,P=0.000,η2=0.530;electrode × condition interaction:F(6,126)=5.846,P=0.002,η2=0.218.Notably,the mean N170 amplitude showed no significant group difference between amblyopic patients and healthy controls(P＞0.05).Conclusion Early visual processing(P1)remains intact in amblyopic patients,where-as altered N170 dynamics across electrodes and conditions suggest compensatory engagement of top-down pathways during face recognition in amblyopia.

Objective To rapidly screen patients with novel coronavirus pneumonia (COVID-19) infection including asymptomatic ones. Method Established a rapid detection test kit, and evaluated analytical and clinical performance of it. Result The minimum limit of detection of the reagent was 9.75×10² TCID₅₀/mL; there was no cross-reaction and interference in the high-concentration samples of 29 common respiratory pathogens tested. The diagnostic sensitivity of clinical samples was 98.56%, specificity was 99.00%, and the total coincidence rate was 98.85%; the consistency test Kappa value is 0.974 5. The stratified analysis of positive samples with different Ct values showed that the coincidence rate within each stratum was greater than 95%. Conclusion This COVID-19 antigen test kit with excellent detection performance, fast detection speed, and portable operation. It can be used as a supplementary method for existing nucleic acid detection methods for early screening of new coronavirus.
Humans ; COVID-19 ; COVID-19 Testing ; Sensitivity and Specificity ; SARS-CoV-2

{L-End}Objective To study the changes of complete blood cell count parameters and its influencing factors in patients with occupational silicosis (hereinafter referred to as "silicosis"). {L-End}Methods A total of 354 silicosis patients were selected as the research subjects using judgment sampling method. The patients were divided into stage Ⅰ, stage Ⅱ and stage Ⅲ groups according to the stage of silicosis. Based on the course of the disease, they were divided into groups of ≤3, >3-≤6, >6-≤9 and >9-≤12 years. The peripheral blood of the patients was collected for complete blood cell count analysis, and the influencing factors of complete blood cell count were analyzed by multiple linear regression model. {L-End}Results The levels of hemoglobin and the average red blood cell hemoglobin in patients with silicosis at stage Ⅱ and Ⅲ groups were lower than those at stageⅠgroup (all P<0.05). The percentage and counts of neutrophils increased in patients at stage Ⅲ group (all P<0.05), while the percentage and counts of lymphocytes decreased (all P<0.05) compared with those in stage Ⅰand Ⅱ groups. The percentage of eosinophils in patients at stage Ⅲ was lower than those at stage Ⅰ group (P<0.05). The red blood cell count in the courses of silicosis >6-􀰤9 years group was lower (P<0.05), and the percentage of neutrophils was higher, while the percentage of lymphocyte was lower in the courses of silicosis >6-􀰤9 years group and >9-􀰤12 years group (all P<0.05) compared with the courses of silicosis ≤3 years and >3-􀰤6 years groups. The mean corpuscular volume of the courses of silicosis >6-􀰤9 years group and the neutrophil count of the courses of silicosis >9-􀰤12 years group increased (all P<0.05) compared with the courses of silicosis ≤3 years group. The results of multiple linear regression analysis showed that the silicosis stage and course of silicosis were influencing factors of erythrocyte count (all P<0.05), gender and age of first dust-exposure were influencing factors of hemoglobin level (all P<0.05), while age at diagnosis, duration of dust-exposure, age of first dust-exposure and comorbidities were influencing factors of neutrophil count (all P<0.05). Gender, comorbidities, smoking and silicosis stage were influencing factors of lymphocyte count (all P<0.05). {L-End}Conclusion There are differences in complete blood cell count parameters in patients with silicosis at different stages and courses of the disease. Silicosis stage, course of disease, gender, age, smoking,comorbidities, duration of dust-exposure and age of first dust-exposure were influencing factors affecting complete blood cell count in silicosis patients.

Objective To investigate the correlation between the distnioution of cerebral atherosclerotic stenosis and early neurologic deterioration (END) in patients with acute large artery atherosclerotic stroke.Methods Patients with acute large artery atherosclerotic stroke admitted to the Department of Neurology,the Second Affiliated Hospital of Anhui Medical University from March 2017 to May 2018 were enrolled retrospectively.END was defined as the National Institutes of Health Stroke Scale (NIHSS) score increased by 2 from the baseline within 72 h of admission,or the NIHSS consciousness level score increased by 1,or the NIHSS motor score increased by 1,or having any new neurological deficit.According to whether the patients had END or not,they were divided into END group and non-END group.According to cerebral artery stenosis (stenosis degree ＞ 50％) identified by head and neck CT angiography,magnetic resonance angiography or digital subtraction angiography,they were divided into single artery stenosis group and multiple artery stenosis group.Multivariable logistic regression analysis was used to analyze the independent risk factors for END.Results A total of 371 patients were enrolled in the study,of which 92 (24.8％) had END.In the single artery stenosis group,the incidence of END varies with the distribution of vessel stenosis:anterior cerebral artery (2.3％),middle cerebral artery (54.4％),posterior cerebral artery (9.1％),basilar artery (4.5％),intracranial internal carotid artery (11.4％),intracranial vertebral artery (6.8％),extracranial internal carotid artery (6.8％),and extracranial vertebral artery (4.5％).The incidence of middle cerebral artery stenosis was significantly higher in the END group than that in the non-END group (54.5％ vs.21.2％;x2=17.615,P ＜ 0.001).In the multiple artery stenosis group,the incidence of END was the highest in patients with only intracranial stenosis (66.7％),followed by patients with intracranial and extracranial stenosis (29.2％),and patients with only extracranial stenosis (4.2％).The incidence of only intracranial multi-artery stenosis was significantly higher in the END group than that in the non-END group (66.7％ vs.47.6％;x2 =5.262,P =0.022).Multivariate logistic regression analysis showed that middle cerebral artery stenosis (odds ratio,1.805,95％ confidence interval 1.217-2.676;P=0.003) was an independent risk factor for END.Conclusions END was associated with the distribution of cerebral atherosclerotic stenosis in patients with acute large artery atherosclerotic stroke.The middle cerebral artery stenosis was an independent risk factor for END.

Objective To investigate the risk factors of early neurological deterioration (END) in patients with cerebral infarction induced by symptomatic intracranial artery stenosis.Methods One hundred and eighty-nine cerebral infarction patients with symptomatic intracranial artery stenosis were collected. According to National Institutes of Health Stroke Scale (NIHSS) scores at 72 h of admission minus baseline NIHSS scores, these patients were divided into END group (n=51,≥2) and non-END group (n=138, <2). Clinical data and laboratory results were retrospectively collected. Univariate Logistic regressionwas used to analyze the differences of above data between the two groups, and multivariate Logistic regression was used to analyze the risk factors of END in patients with cerebral infarction induced by symptomatic intracranial artery stenosis.Results There were significant differences between the END group and the non- END group in age ([69.1±10.6] yearsvs.[65.8±10.4] years), baseline NIHSS scores (10.6±4.6vs. 5.1±4.1), intracranial artery stenosis site (anterior circulation, 82.4％％vs. 66.7％), intracranial artery stenosis degree (occlusion, 66.7％vs.44.2％), cholesterol level ([6.7± 1.0] mmol/Lvs. [4.8±0.8] mmol/L) and lymphocyte count ([2.3±2.2]×109/Lvs.[1.5±0.6]×109/L,P< 0.05). Multivariate Logistic regression analysis showed that age (OR=2.411, 95％C1: 1.102-5.273,P= 0.028), intracranial artery occlusion (OR=122, 95％CI: 3.635-4102,P=0.007) and baseline NIHSS scores (OR=2.464, 95％CI: 1.189-5.105,P=0.015) were risk factors for END.Conclusion Patients with symptomatic intracranial artery stenosis induced cerebral infarction, especially those with old age, intracranial artery occlusion or low baseline NIHSS scores, need more attention to avoid END.

Objective To assess and compare the incidence,clinical characteristics,treatment,and prognosis of acute heart failure patients from different grades hospitals in Beijing.Methods In this prospective internet prognosis registered study (Beijing AHF Registry),a total of 3 335 consecutive patients admitted to 14 emergency departments in Beijing from January 1st 2011 to September 23rd 2012 were enrolled.According to hospital grade,these patients were divided into two groups,349 patients were from secondary hospitals,and 2 956 patients were from tertiary hospitals.Results Among the 3 335 patients,the medium age was 71 (58,79) years,and male accounted for 53.16％.The most common underlying disease were coronary disease (43.27％),hypertension (17.73％),cardiomyopathy (16.07％) etc.The average treatment time in Emergency Department was 66.82 h.The emergency department mortality rate was 3.81％ (127 cases).The 30-day and 1-year cumulative all-cause mortality were 15.3％ and 32.27％,respectively.The 30-day and 1-year cumulative all-cause readmission were 15.64％ and 46.89％,respectively.Compared with patients in tertiary hospitals,patients in secondary hospitals had more onset acute heart failure patients (63.64％ vs.49.93％),shorter emergency department treatment time (12 h vs.41 h),lower discharge rate (3.43％ vs.37.45％) and emergency department mortality(1.58％ vs.4.09％).Compared with those in tertiary hospitals,1-year cumulative all-cause mortality (25.6％ vs.33.2％),cardiovascular disease mortality (20.2％ vs.26.0％),aggravated heart failure mortality (22.4％ vs.28.8％) were lower in secondary hospitals.Following propensity score matching,compared to tertiary hospitals,patients in secondary hospitals showed lower utilization rate of beta-blockers and ACEFARB (4.51％ vs.28.17％,1.41％ vs.9.58％),except the pironolactone.Conclusion Acute heart failure in emergency department is associated with a high mortality rate and readmission rate.There is still a big gap between guidelines recommend medication current treatments for acute heart failure.

Vigilance is defined as the ability to maintain attention for prolonged periods of time. In order to explore the variation of brain vigilance in work process, we designed addition and subtraction experiment with numbers of three digits to induce the vigilance to change, combined it with psychomotor vigilance task (PVT) to measure this process of electroencephalogram (EEG), extracted and analyzed permutation entropy (PE) of 11 cases of subjects' EEG and made a brief comparison with nonlinear parameter sample entropy (SE). The experimental results showed that: PE could well reflect the dynamic changes of EEG when vigilance decreases, and has advantages of fast arithmetic speed, high noise immunity, and low requirements for EEG length. This can be used as a measure of the brain vigilance indicators.
Attention ; Brain ; physiology ; Electroencephalography ; Entropy ; Humans ; Mathematics

Mental fatigue is an important factor of human health and safety. It is important to achieve dynamic mental fatigue detection by using electroencephalogram (EEG) signals for fatigue prevention and job performance improvement. We in our study induced subjects' mental fatigue with 30 h sleep deprivation (SD) in the experiment. We extracted EEG features, including relative power, power ratio, center of gravity frequency (CGF), and basic relative power ratio. Then we built mental fatigue prediction model by using regression analysis. And we conducted lead optimization for prediction model. Result showed that R2 of prediction model could reach to 0.932. After lead optimization, 4 leads were used to build prediction model, in which R' could reach to 0.811. It can meet the daily applicatioi accuracy of mental fatigue prediction.
Electroencephalography ; Humans ; Mental Fatigue ; Models, Biological ; Sleep Deprivation

We applied Lempel-Ziv complexity (LZC) combined with brain electrical activity mapping (BEAM) to study the change of alertness under sleep deprivation in our research. Ten subjects were involved in 36 hours sleep deprivation (SD), during which spontaneous electroencephalogram (EEG) experiments and auditory evoked EEG experiments-Oddball were recorded once every 6 hours. Spontaneous and evoked EEG data were calculated and BEAMs were structured. Results showed that during the 36 hours of SD, alertness could be divided into three stages, i. e. the first 12 hours as the high stage, the middle 12 hours as the rapid decline stage and the last 12 hours as the low stage. During the period SD, LZC of Spontaneous EEG decreased over the whole brain to some extent, but remained consistent with the subjective scales. By BEAMs of event related potential, LZC on frontal cortex decreased, but kept consistent with the behavioral responses. Therefore, LZC can be effective to reflect the change of brain alertness. At the same time LZC could be used as a practical index to monitor real-time alertness because of its simple computation and fast calculation.
Attention ; physiology ; Brain Mapping ; Electroencephalography ; Evoked Potentials ; Humans ; Nonlinear Dynamics ; Sleep Deprivation