Objective To evaluate the role of c?Jun N?terminal kinase ( JNK) and p38 mitogen?ac?tivated protein kinase ( p38MAPK) signaling pathways in attenuation of myocardial ischemia?reperfusion ( I∕R) injury by morphine postconditioning. Methods Healthy adult male Sprague?Dawley rats, weighing 180-240 g, were used in the study. Their hearts were excised and retrogradely perfused in a Langendorff apparatus with Krebs?Ringer ( K?R) buffer saturated with 95% O2?5% O2 at 37℃. After 15 min of equili?bration, 52 isolated hearts were divided into 4 groups ( n=13 each) using a random number table: control group (group C), I∕R group, morphine postconditioning group (group MP), and morphine postcondition?ing plus anisomycin group ( group MP+A) . The hearts were continuously perfused with K?R buffer for 105 min in group C. In group I∕R, the hearts were subjected to 45 min of global ischemia by stopping perfusion with K?R buffer, followed by 60 min of reperfusion by restoration of perfusion with K?R buffer. In group MP, the hearts were subjected to 45 min of global ischemia, followed by 10 min of reperfusion with K?R buffer containing 3?0 μmol∕L morphine and then by 50 min of reperfusion with K?R buffer. In group MP+A, the hearts were subjected to 45 min of global ischemia, followed by 10 min of reperfusion with K?R buffer containing 3?0 μmol∕L morphine and 1?0 μmol∕L anisomycin ( an activator of JNK and p38MAPK) and then by 50 min of reperfusion with K?R buffer. At 60 min of reperfusion, 8 hearts in each group were selected for measurement of the myocardial infarction and amount of creatine kinase?MB ( CK?MB) released from the myocardium, and the myocardial infarct size was calculated. At 20 min of reperfusion, 5 hearts in each group were selected to detect the expression of phosphorylated JNK ( p?JNK ) , phosphorylated p38MAPK ( p?p38MAPK) and cytochrome c ( Cyt c) in myocardial tissues ( by Western blot) and content of nicotinamide adenine dinucleotide ( NAD+) in myocardial tissues ( by spectrophotometry ) . Results Compared to group C, the myocardial infarct size and amount of CK?MB released from the myocardium were significantly increased, the expression of p?JNK, p?p38MAPK and Cyt c was significantly up?regulated, and the content of NAD+ was significantly decreased in I∕R, MP and MP+A groups ( P<0?05) . Compared to group I∕R, the myocardial infarct size and amount of CK?MB released from the myocardium were signifi?cantly decreased in MP and MP+A groups, and the expression of p?JNK, p?p38MAPK and Cyt c was sig?nificantly down?regulated, and the content of NAD+ was significantly increased in group MP (P<0?05). Compared to group MP , the myocardial infarct size and amount of CK?MB released from the myocardium were significantly increased, the expression of p?JNK, p?p38MAPK and Cyt c was significantly up?regula?ted, and the content of NAD+ was significantly decreased in group MP+A (P<0?05). Conclusion The mechanism by which morphine postconditioning attenuates myocardial I∕R injury is related to inhibition of activation of JNK and p38MAPK signaling pathways in rats.

Objective To evaluate the effects of dexmedetomidine plus sufentanil during postoperative analgesia on sleep quality in patients undergoing abdominal hysterectomy.Methods Sixty patients (aged 30-55 years,ASA Ⅰ or Ⅱ) scheduled for hysterectomy were randomly divided into the following 2 groups: group C (n=30,sufentanil) and group D (n=30,sufentanil plus dexmedetomidine).Polysomnography measures were performed,the night before surgery (PSG1),the first night after surgery (PSG2),and the second night after surgery (PSG3).In addition,pain levels (visual analogue scale,VAS),sedation levels,sufentanil consumptions,and possible adverse effects on MAP,HR and SpO2 were investigated.Results Compared with PSG1,N1 stage sleep in group C and N2 stage sleep in group D were significantly increased (P<0.05),N1 stage sleep at PSG2 and PSG3 in group D was decreased (P<0.05);N3 and REM stage sleep,sleep efficiency index and subjective sleep quality were decreased,arousal index was increased in two groups (P<0.05).Compared with group C,N1 stage sleep was decreased,and N2 stage sleep was increased at PSG2 and PSG3 in group D (P<0.05);sleep efficiency index,subjective sleep quality were increased,arousal index in group D was decreased (P<0.05).Patients in group D had a lower VAS score and cumulative sufentanil consumption,MAP,HR at 6,24,48 h after surgery (P<0.05) and a higher sedation score at 6,24 h after surgery than those in group C (P<0.05).Conclusion Besides offering effective analgesia,postoperative dexmedetomidine infusion has positive effects on sleep disturbance in patients undergoing hysterectomy.

Objective:To assess the effect of intra-aortic balloon pump (IABP) on in-hospital mortality in patients with cardiac arrest undergoing extracorporeal cardiopulmonary resuscitation (ECPR).Methods:A retrospective study was performed on 696 patients with intra-hospital cardiac arrest undergoing ECPR from Samsung Medical Center in Korea between January 2004 and December 2013. According to whether IABP was used, the patients were divided into ECPR group and ECPR+IABP group. Cox regression and propensity score matching (PSM) were used to examine the correlation between IABP usage and in-hospital mortality, and standardized mean difference ( SMD) was used to check the degree of PSM. Survival analysis of in-hospital mortality was performed by the Kaplan-Meier method, and further analyzed by the Log-Rank test. Using the propensity score as weights, multiple regression model and inverse probability weighting (IPW) model were used for sensitivity analysis. In-hospital mortality, extracorporeal membrane oxygenation (ECMO) withdrawal success rate and neurological function prognosis were compared between the two groups. Results:A total of 199 patients with cardiac arrest undergoing ECPR were included, including 120 males and 79 females, and the average age was (60.0±16.8) years. Thirty-one patients (15.6%) were treated with ECPR and IABP, and 168 patients (84.4%) only received ECPR. The total hospitalized mortality was 68.8% (137/199). The 1 : 1 nearest neighbor matching algorithm was performed with the 0.2 caliper value. The following variables were selected to generate propensity scores, including age, gender, race, marital status, insurance, admission type, service unit, heart rate, mean arterial pressure, respiratory rate, pulse oxygen saturation, white blood cell count. After the propensity score matching, 24 pairs of patients were successfully matched, with the average age of (63.0±12.8) years, including 31 males and 17 females. The in-hospital mortality was 72.6% (122/168) and 48.4% (15/31) in the ECPR group and the ECPR+IABP group [hazard ratio ( HR) = 0.48, 95% confidence interval (95% CI) was 0.28-0.82, P = 0.007]. Multiple regression model, adjusted propensity score, PSM and IPW model showed that the in-hospital mortality in the ECPR+IABP group was significantly lower compared with the ECPR group ( HR = 0.44, 0.50, 0.16 and 0.49, respectively, 95% CI were 0.24-0.79, 0.28-0.91, 0.06-0.39 and 0.31-0.77, all P < 0.05). The combined application of IABP could improve the ECMO withdrawal success rate [odds ratio ( OR) = 8.95, 95% CI was 2.72-29.38, P < 0.001] and neurological prognosis ( OR = 4.06, 95% CI was 1.33-12.40, P = 0.014) in adult cardiac arrest patients. Conclusion:In patients with cardiac arrest using ECPR, the combination of IABP was independently associated with lower in-hospital mortality, higher ECMO withdrawal success rate and better neurological prognosis.

Objective:To investigate the factors associated with delay in anticoagulant therapy in patients with cerebral venous sinus thrombosis (CVST) and its effect on outcome.Methods:Patients with CVST admitted to Changhai Hospital, Naval Medical University from January 2010 to August 2021 were retrospectively enrolled. Patients were divided into early anticoagulation group and late anticoagulation group by the median time interval from first symptom to initiation of anticoagulation. The modified Rankin Scale was used for outcome assessment at 90 d after onset. 0-2 scores were defined as good outcome and 3-6 were defined as poor outcome. Demographic and clinical data were compared for the early versus late anticoagulation group and for the good versus poor outcome groups. Multivariable logistic regression was used to identify independent influencing factors of delay in anticoagulation and the correlation of delay in anticoagulation with poor outcome. Results:A total of 131 patients were included, their age was 40.07±15.11 years old, and 68 (51.91%) were male. Of these, 65 patients (49.62%) were in the early anticoagulation group and 14 (10.69%) were in the poor outcome group. Compared with the late anticoagulation group, the early anticoagulation group had a significantly higher proportion of patients with seizures and brain parenchymal damage as well as higher D-dimer levels on admission, while the proportion of patients with visual impairment/papilloedema was significantly lower (all P<0.05). Compared with the good outcome group, the poor outcome group had significantly higher proportions of patients with seizures, dyskinesia, impaired consciousness, low Glasgow Coma Scale score, and brain parenchymal damage as well as higher D-dimer, total cholesterol and low density lipoprotein cholesterol levels, sites of thrombus involvement were more common in the superior sagittal and straight sinuses, and significantly lower proportions of patients with headache and lower albumin levels on admission (all P<0.05). Multivariate logistic regression analysis showed that visual impairment/papilloedema (odds ratio [ OR] 0.119, 95% confidence interval [ CI] 0.030-0.473; P=0.002) and brain parenchymal damage ( OR 1.341, 95% CI 1.042-1.727; P=0.023) were independently associated with a delay in anticoagulation treatment, and a delay in anticoagulation treatment ( OR 6.102, 95% CI 1.185-30.504; P=0.030) and D-dimer level on admission ( OR 1.299, 95% CI 1.141-1.480; P<0.001) were the independent predictors of poor outcome in patients with CVST. Conclusions:Visual impairment/papilloedema and absence of brain parenchymal damage on cranial imaging are the independent risk factors for delay in anticoagulation in patients with CVST. The delay in anticoagulation is strongly associated with the poor outcome in patients with CVST.

Objective:To analyze the association of respiratory syncytial virus infection with meteorological factors and to predict and explain the trends.Methods:Data of cases with severe acute respiratory infections in hospitalized children in Xuzhou City were collected from 2015-2021. Respiratory syncytial virus (RSV) was detected by real-time fluorescence polymerase chain reaction. The result were statistically analyzed using SPSS 26.0 software, including constructing a negative binomial regression model to explore meteorological factors that impact RSV detection and a multivariate time series model to predict its epidemiological trend from 2020 to 2021.Results:A total of 1 663 samples of children with severe acute respiratory infections were collected from 2015to 2021, of which 218 (13.1%) were positive for RSV. Seasonal effects on RSV detection were evident: there was a 1-year cycle with a peak in winter (December-February) and a trough in summer (June-August). The negative binomial regression analysis showed that monthly mean temperature, monthly mean relative humidity, and monthly total sunshine hours may influenced RSV detection. The prediction result of the time series model with sunshine hours as the covariate showed that the prediction was better for 2020, and the actual values were close to the predicted values. The expected trends in 2021 were consistent, but the actual values were higher than predicted.Conclusions:Monthly mean temperature, monthly mean relative humidity, and monthly total sunshine hours may influence RSV detection in the Xuzhou region.A prediction model can be built using data from 2015-2019, where deviations in the predicted values for 2021, reflecting that disease prevalence is multifactorial correlated, suggest a possible rise in RSV prevalence in the future.

Objective:To understand the composition of respiratory virus spectrum in hospitalized children with acute respiratory infections in Guilin City from 2021 to 2022, and to explore the epidemic characteristics of different respiratory viruses.Methods:Information of a total of 638 hospitalized children with acute respiratory infections (ARI) syndrome under the age of 14 years in Guilin city, Guangxi from September 2021 to October 2022 was collected as research data. The collected pharyngeal swabs from pediatric patients were subjected to real-time fluorescence reverse transcription polymerase chain reaction for nucleic acid testing, screening for 15 common respiratory viruses, and analyzing the virus spectrum characteristics of hospitalized pediatric patients with acute respiratory infections.Results:Among the 638 specimens, 365 were tested positive for at least one virus, with a positive rate of 57.21% (365/638). The detection rate for two or more viruses was 12.85% (82/638). There were 12 types of viruses detected, and the difference in virus detection rates among different seasons was statistically significant (P<0.002). The virus positive detection rate of samples from different age groups was the highest in the 0-2-year old group (40.66%), followed by the 3-5-year old group (34.80%) and the 6-year and older group (24.54%).Conclusions:During the period from September 2021 to October 2022, all 12 respiratory viruses were prevalent in Guilin area, with obvious summer peak as characteristics. It is suggested that corresponding prevention and control measures should be focused on pathogens that may cause acute respiratory infections in children during the local summer to prevent and control the spread and prevalence of respiratory infections.

It is very important for epilepsy treatment to distinguish epileptic seizure and non-seizure. In this study, an automatic seizure detection algorithm based on dual density dual tree complex wavelet transform (DD-DT CWT) for intracranial electroencephalogram (iEEG) was proposed. The experimental data were collected from 15 719 competition data set up by the National Institutes of Health (NINDS) in Kaggle. The processed database consisted of 55 023 seizure epochs and 501 990 non-seizure epochs. Each epoch was 1 second long and contained 174 sampling points. Firstly, the signal was resampled. Then, DD-DT CWT was used for EEG signal processing. Four kinds of features include wavelet entropy, variance, energy and mean value were extracted from the signal. Finally, these features were sent to least squares-support vector machine (LS-SVM) for learning and classification. The appropriate decomposition level was selected by comparing the experimental results under different wavelet decomposition levels. The experimental results showed that the features selected in this paper were different between seizure and non-seizure. Among the eight patients, the average accuracy of three-level decomposition classification was 91.98%, the sensitivity was 90.15%, and the specificity was 93.81%. The work of this paper shows that our algorithm has excellent performance in the two classification of EEG signals of epileptic patients, and can detect the seizure period automatically and efficiently.
Algorithms ; Electroencephalography ; Epilepsy/diagnosis* ; Humans ; Seizures/diagnosis* ; Signal Processing, Computer-Assisted ; Support Vector Machine ; Wavelet Analysis