Objective:To evaluate and screen the anti-atrial ifbrillation drug with multiion channel targets by micro-electrode chip technology in a rapid atrial pacing (RAP) rabbit model.
Methods:A total of 32 rabbits were randomly divided into 4 groups, n=8 in each group. Potassium channel blocker (TEA) group, Potassium channel blocker (BaCl2) group, Potassium channel blocker (CdCl2) group and Amiodarone group.
The electrode was inserted into right atrium via internal jugular vein with rapid right atrial pacing (600 beat/min) and the effect of each anti-atrial ifbrillation drug on ifeld action potential (fAPD) were measured in different groups.
Results:With 24 hour RAP, the fAPD was prolonged from (176.67 ± 8.66) ms to (196.11 ± 10.76) ms, P=0.012 in TEA group;from (182.22 ± 12.87) ms to (191.11 ± 13.09) ms, P=0.039 in BaCl2 group;from (178.33±7.85) ms to (206.67 ± 9.70) ms, P=0.0015 in CdCl2 group;from (167.38 ± 13.67) ms to (185 ± 15.14) ms, P=0.002 in Amiodarone group.
Conclusion: RAP induced atrial fibrillation in experimental rabbit model is a simple and feasible method for screening the anti-atrial fibrillation drugs, combining with micro-electrode chip technology, it might be used for developing the new product.

Objective To explore the correlation between blood pressure variability (BPV) and arterial elasticity in elderly patients with stroke.Methods One hundred and eighty-three stroke patients (121 with cerebral ischemic stroke and 62 with hemorrhagic stroke),admitted to our hospital from May 2014 to December 2016,and 61 non-stroke individuals were enrolled according to the inclusion and exclusion criterion.Carotid-radial pulse wave velocity (CrPWV) was calculated and carotid artery ultrasound was used to measure intima-media thickness (IMT);24 h ambulatory blood pressure monitoring was performed to calculate the BPV parameters.The arterial stiffness index β was calculated.Results As compared with those in the non-stroke subjects,morning blood pressure surge (MBPS),standard deviation of systolic blood pressure (SBP),variable coefficient of SBP,systolic blood pressure fall (SBPF),CrPWV,IMT and stiffness index β in stroke patients were significant increased (P＜0.05).Correlation analysis indicated that MBPS,standard deviation of SBP,weighted standard deviation of SBP,variance of SBP,variable coefficient of SBP,SBPF,and diastolic blood pressure fall were signficantly correlated with CrPWV and stiffness index β (P＜0.05);IMT was closely related to MBPS,standard deviation of SBP,variable coefficient of SBP,and SBPF (P＜0.05).Multivariate linear regression analysis showed that MBPS,standard deviation of SBP and SBPF were the independent influencing factors of IMT,CrPWV and stiffness index β5.Conclusion BPV showed significant relationship with vascular elasticity in stroke patients,and reduction of BPV helps to delay the process of atherosclerosis.

Objective　To study the clinical characteristics and differentiation between TS-AMCI and AF-AMCI.It aims to help clinicians better distinguish and treat patients with two diseases.Methods　The clinical symptoms,imaging tests,prognostic data of 30 TS-AMCI (TS-AMCI group) and 39 AF-AMCI (AF-AMCI group) who received hospital treatment from June 2017 to June 2020 in Rizhao people’s Hospital were retrospectively analyzed.Results　The proportion of hypertension,diabetes and stroke history in TS-AMCI group was lower than that in AF-AMCI group (P＜0.05);But the plasma fibrinogen and D-dimer in TS-AMCI group were significantly higher than those in AF-AMCI group (P<0.001).The proportion of the number of cerebral infarction lesions less than 10 in DWI of TS-AMCI group was significantly lower than that in AF-AMCI group (P<0.001).The number of cerebral infarction lesions in bilateral anterior and posterior circulation in TS-AMCI group was significantly higher than that in AF-AMCI group(P＜0.001),while,AF-AMCI group was characterized by unilateral anterior circulation,which was significantly higher than that in TS-AMCI group (P＜0.001).The mRS score and the Death cases at 30 days of follow-up in TS-AMCI group were significantly higher than those in AF-AMCI group (P＜0.05).Conclusion　Compared with the AF-AMCI group.The traditional risk factors of stroke such as hypertension and diabetes in TS-AMCI group were more rare than those in AF-AMCI group.The plasma fibrinogen and D-dimer value increased more obviously and multiple small lesions in the blood supply area of multiple arteries were more common in TS-AMCI group.There was no significant difference in clinical manifestations at the onset of the disease between the two groups,but the prognosis of TS-AMCI group was poor at 30 days.

Objective:To analyze the correlation between obstructive sleep apnea (OSA) and attention deficit hyperactivity disorder (ADHD).Methods:The clinical Data, polysomnography (PSG) and cognitive function examination results of 112 OSA children admitted to Department of Otorhinolaryngology Head and Neck Surgery of the Second Affiliated Hospital of Xi′an Jiaotong University from January 2019 to June 2020 were retrospectively analyzed. According to the severity of OSA, the children were divided into mild, moderate and severe OSA groups, and the basic demographic characteristics, sleep parameters and ADHD occurrence were analyzed. According to the results of ADHD examination, the children were divided into ADHD group and non-ADHD group, and the basic demographic characteristics and sleep parameters were analyzed. Taking these parameters as independent variables, binary Logistic regression analysis was conducted to establish the model equation for predicting the risk of OSA associated ADHD among children.Results:Grouped by OSA severity, among the three groups, apnea-hypopnea index (AHI) [3.70 (2.84, 5.47) vs 8.59 (7.50, 9.54) vs 19.48 (15.83, 25.23)], obstructive apnea index (OAI) [1.31 (0.93, 1.82) vs 3.03 (1.54, 4.41) vs 11.69 (8.53, 15.42)], obstructive apnea-hypopnea index (OAHI) [2.82 (1.81, 3.64) vs 6.17 (5.58, 7.26) vs 15.68 (13.12, 21.25)], and respiratory event-related arousal index [0.50 (0.25, 1.05) vs 1.25 (0.70, 2.23) vs 2.40 (1.60, 4.70)] increased, minimum pulse oxygen saturation (SpO 2) [90.00 (88.00, 92.00) vs 87.00 (83.00, 90.25) vs 81.00 (76.00, 85.00)] decreased, the differences were statistically significant (all P<0.05). The non-rapid eye movement (NREM)1 period time ratio of the severe OSA group was significantly longer than that of the mild OSA group, while the average SpO 2 was significantly lower than that of the mild OSA group; the NREM3 period time ratio of the moderate and severe OSA group was significantly less than that of the mild OSA group; the arousal index of the severe OSA group was significantly greater than the mild or moderate OSA group. There were no statistically significant differences among the three groups in gender, age, body mass index, sleep efficiency, rapid eye movement (REM) period time ratio, and NREM2 period time ratio (all P>0.05). Mild OSA group had 10 cases of ADHD (17.54%), moderate OSA group had 7 cases (23.33%) of ADHD, severe OSA group had 9 cases of ADHD (36.00%), and the difference was not statistically significant. Grouped by ADHD examination, the AHI, OAI, OAHI, and NREM1 period time ratios of the ADHD group were significantly higher than those of the non-ADHD group, while the sleep efficiency, minimum SpO 2 and NREM3 period time ratio were significantly lower than those of the non-ADHD group. The Logistic regression analysis suggested that ADHD was correlated with sleep efficiency, minimum SpO 2, and NREM3 period time.The established Logistic regression equation was: X=15.670+0.061×(sleep efficiency)-0.212×(minimum SpO 2)-0.144×(NREM3 period time ratio), the sensitivity and specificity of the model prediction were 84.6% and 79.1% respectively when the area under the receiveroperating characteristic curves was 0.867. Conclusions:OSA and ADHD in children have a certain correlation. Sleep structure disturbance and intermittent hypoxia may be important reasons. The predictive model equations obtained by PSG in this study can be used to assess the risk of ADHD in children with OSA.