Current epilepsy prediction methods are not effective in characterizing the multi-domain features of complex long-term electroencephalogram (EEG) data, leading to suboptimal prediction performance. Therefore, this paper proposes a novel multi-scale sparse adaptive convolutional network based on multi-head attention mechanism (MS-SACN-MM) model to effectively characterize the multi-domain features. The model first preprocesses the EEG data, constructs multiple convolutional layers to effectively avoid information overload, and uses a multi-layer perceptron and multi-head attention mechanism to focus the network on critical pre-seizure features. Then, it adopts a focal loss training strategy to alleviate class imbalance and enhance the model's robustness. Experimental results show that on the publicly created dataset (CHB-MIT) by MIT and Boston Children's Hospital, the MS-SACN-MM model achieves a maximum accuracy of 0.999 for seizure prediction 10 ~ 15 minutes in advance. This demonstrates good predictive performance and holds significant importance for early intervention and intelligent clinical management of epilepsy patients.
Humans ; Electroencephalography/methods* ; Epilepsy/physiopathology* ; Neural Networks, Computer ; Seizures/physiopathology* ; Signal Processing, Computer-Assisted ; Algorithms

In general, bioassay-guided fractionation and isolation of bioactive constituents from botanical materials frequently ended up with the reward of a single compound. However, botanical materials typically exert their therapeutic actions through multi-pathway effects due to the intrinsic complex nature of chemical constituents. In addition, the content of bioactive compounds in botanical materials is largely dependent on humidity, temperature, soil, especially geographical origins, from which rapid and accurate identification of plant materials is pressingly needed. These long-standing obstacles collectively impede the deep exploitation and application of these versatile natural sources. To address the challenges, a new paradigm integrating biogravimetric analyses and machine learning-driven origin classification (BAMLOC) was developed. The biogravimetric analyses are based on absolute qHNMR quantification and in vivo zebrafish model-assisted activity index calculation, by which bioactive substance groups jointly responsible for the bioactivities in all fractions are pinpointed before any isolation effort. To differentiate origin-different botanical materials varying in the content of bioactive substance groups, principal component analysis, linear discriminant analysis, and hierarchical cluster analysis in conjunction with supervised support vector machine are employed to classify and predict production areas based on the detection of volatile organic compounds by E-nose and GC-MS. Expanding BAMLOC to Codonopsis Radix enables the identification of polyacetylenes and pyrrolidine alkaloids as the bioactive substance group for immune restoration effect and accurately determines the origins of plants. This study advances the toolbox for the discovery of bioactive compounds from complex mixtures and lays a more definitive foundation for the in-depth utilization of botanical materials.

Using syringaldehyde as raw material, the phosphine ylide intermediate was efficiently synthesized through acetylated hydroxyl protection, aldehyde group reduction, chlorination and reaction with triphenylphosphine. On this basis, moscatilin (MST) and its 12 analogs (MST-1-MST-12) were synthesized by wittig reaction, deacetylation and double bond reduction. All the structures were confirmed by 1H NMR, 13C NMR and ESI-MS. Bacterial lipopolysaccharide-induced mouse macrophage RAW264.7 inflammation model was used to conduct preliminary anti-inflammatory activity tests in vitro for the target compounds. Results showed that all compounds could inhibit the production of inflammatory factor NO, and that MST-5 exhibited the strongest anti-inflammatory activity (IC50= 0.428 μmol/L).Further exploration is expected for the study of the anti-inflammatory mechanism of MST-5.

Objective:To investigate the radiation field and dose selection of patients with isolated chest wall recurrence (ICWR) after modified radical mastectomy, and analyze the prognostic factors related to subsequent chest wall recurrence.Methods:Clinical data of 201 patients with ICWR after mastectomy admitted to the Fifth Medical Center, Chinese PLA General Hospital from 1998 to 2018 were retrospectively analyzed. None of the patients received postoperative adjuvant radiotherapy. After ICWR, 48 patients (73.6%) underwent surgery and 155 patients (77.1%) received radiotherapy. Kaplan-Meier method was used to calculate the post-recurrence progression-free survival (PFS) rates and the difference was compared by log-rank test. Multivariate analysis was performed using Cox regression model. Competing risk model was adopted to estimate the subsequent local recurrence (sLR) rates after ICWR and the difference was compared with Gray test. Multivariate analysis was conducted using F&G analysis. Results:With a median follow up of 92.8 months after ICWR, the 5-year PFS rate was 23.2%, and the 5-year sLR rate was 35.7%. Multivariate analysis showed that patients with surgery plus radiotherapy and recurrence interval o F>12 months had a lower sLR rate. Patients with recurrence interval o F>48 months, local plus systemic treatment and surgery plus radiotherapy had a higher PFS rate. Among the 155 patients who received chest wall radiotherapy after ICWR, total chest wall irradiation plus local boost could improve the 5-year PFS rate compared with total chest wall irradiation alone (34.0% vs. 15.4%, P=0.004). Chest wall radiation dose (≤60 Gy vs.>60 Gy) exerted no significant effect upon the sLR and PFS rates (both P>0.05). In the 53 patients without surgery, the 5-year PFS rates were 9.1% and 20.5%( P=0.061) with tumor bed dose ≤60 Gy and>60 Gy, respectively. Conclusions:Local radiotherapy is recommended for patients with ICWR after modified radical mastectomy of breast cancer, including total chest wall radiation plus local boost. The radiation dose for recurrence should be increased to 60 Gy, and it should be above 60 Gy for those who have not undergone surgical resection. In addition, patients with ICWR still have a high risk of sLR, and more effective treatments need to be explored.

Objective:To analyze the prognosis of patients with isolated regional recurrence (RR) after mastectomy, and evaluate the efficacy of radiotherapy and identify the optimal radiation target volumes.Methods:Clinical data of 144 patients with first isolated RR after mastectomy between 2001 and 2018 were retrospectively analyzed. All patients had not received post-mastectomy radiotherapy. The primary endpoints consisted of the subsequent locoregional recurrence (sLRR), distant metastasis (DM), progression-free survival (PFS) and overall survival (OS).Results:With a median follow-up of 82.5 months after RR, the 5-year sLRR, DM, PFS and OS rates for the entire group were 42.1%, 71.9%, 22.9% and 62.6%, respectively. Local plus systemic therapy was an independent favorable prognostic factor for sLRR ( P<0.001) and PFS ( P=0.013). The sLRR rate in the surgery plus radiotherapy group was the lowest ( P<0.001). Surgery plus radiotherapy significantly reduced the 5-year risk of recurrence within the initially involved nodal regions ( P<0.001). Patients with chest wall irradiation obtained the 5-year subsequent chest wall recurrence rate of 12.1% compared to 14.8%( P=0.873) for those without chest wall irradiation. The subsequent supraclavicular recurrence rate was lower in patients with prophylactic supraclavicular irradiation than that without prophylactic supraclavicular irradiation (9.9% vs. 23.8%, P=0.206). The incidence rates of initially uninvolved axillary and internal mammary nodal recurrence were below 10% regardless of prophylactic irradiation or not. Conclusions:Patients with RR alone have an optimistic 5-year OS in the contemporary era. Comprehensive locoregional treatment including surgery and radiotherapy combined with systemic therapy is recommended. The chest wall, axillary and internal mammary nodal prophylactic irradiation should not be routinely performed for all patients with RR. The value of supraclavicular prophylactic irradiation remains to be evaluated.

Objective:To analyze the prognostic factors of breast cancer patients with isolated chest wall recurrence (ICWR) after mastectomy, and investigate the optimal treatment.Methods:A total of 201 breast cancer patients with ICWR after mastectomy who were treated in Cancer Hospital, Chinese Academy of Medical Sciences and the Fifth Medical Center Chinese PLA General Hospital from October 1998 to April 2018 were retrospectively analyzed. The median follow-up was 92.8 months and survival data were obtained.Results:Among 201 patients with ICWR, 103 patients developed subsequent locoregional recurrence (sLRR) and 5-year cumulative sLRR rate was 49.1%; 134 patients developed distant metastasis (DM) and 5-year DM rate was 64.4%; 103 patients died, the median progression-free survival (PFS) was 17.4 months and the 5-year PFS rate was 23.2%; the median overall survival (OS) was 62.5 months and the 5-year OS rate was 52.1%. Multivariate analysis showed that the recurrence interval ( HR=2.17, 95% CI: 1.26-3.73) and the locoregional treatment ( HR=1.59, 95% CI: 1.05-2.40) were the independent prognostic factors for sLRR. The initial HER2 status ( HR=1.60, 95% CI: 1.03-2.48) was the independent prognostic factor for DM. The recurrence interval ( HR=1.99, 95% CI: 1.30-3.04), the locoregional treatment ( HR=1.99, 95% CI: 1.43-2.76) and the treatment modalities after recurrence ( HR=1.70, 95% CI: 1.18-2.46) were the independent prognostic factors for PFS. The initial HER2 status ( HR=1.69, 95% CI: 1.02-2.81), the recurrence interval ( HR=1.85, 95% CI: 1.15-2.98) and the treatment modalities after recurrence ( HR=2.48, 95% CI: 1.56-3.96) were the independent prognostic factors for OS. Conclusions:Breast cancer patients after ICWR have an optimistic OS until now, but the risk of sLRR and DM is high. Comprehensive treatment modalities including surgery, radiotherapy and systemic therapy improve the outcome of breast cancer patients with ICWR after mastectomy.

Objective:To explore the influencing factors of accidental falls outside the hospital in elderly patients with accidental injury in the Emergency Department, so as to provide a basis for preventing accidental injuries.Methods:Convenience sampling was used to select 210 emergency elderly patients who visited the hospital due to accidental injuries from November 2017 to May 2020 in the Second Medical Center, People's Liberation Army General Hospital as the research object. Patients were investigated with the self-designed Out-of-hospital Accidental Injury Consultation Questionnaire. Single factor analysis and binomial Logistic regression were used to analyze the influencing factors of falls in elderly patients. A total of 210 questionnaires were distributed in this survey, and 180 valid questionnaires were returned with the valid response rate of 85.71%.Results:A total of 147 falls occurred among 180 elderly patients in the Emergency Department, and the incidence of falls was 81.7%. Binomial Logistic regression analysis showed that old age, outdoor, chronic diseases and no use of walking aids were independent risk factors for falls ( P<0.05) . Conclusions:The main types of accidental injuries in elderly patients are falls. Strengthening the nursing education of fall prevention measures, improving compliance with medications, choosing suitable walking aids or trying other new fall prevention technologies, and establishing a multi-party participation model can effectively prevent and reduce the occurrence of falls in elderly patients.

Objective:To explore the predictive value of quantitative electroencephalogram (qEEG) in the poor outcome of children with non-traumatic disturbance of consciousness (DoC) in the pediatric intensive care unit (PICU).Methods:A prospective study was conducted. From January 2019 to May 2019, a total of 62 patients aged from 1 month to 11 years with non-traumatic DoC in the PICU of the First Affiliated Hospital of Bengbu Medical College were enrolled. Bedside monitoring with NicoletOne monitor was performed within 24 hours after admission, and qEEG parameters, including amplitude-integrated electroencephalogram (aEEG), relative alpha variability (RAV), relative band power (RBP), and spectral entropy (SE) were recorded. The state of consciousness was assessed with modified pediatric Glasgow coma scale (MPGCS) before monitoring. According to the pediatric cerebral performance category score at 1 year after discharge, the enrolled subjects were divided into good and poor outcome groups. The association between these variables and the poor outcome was analyzed by univariate and multivariate logistic regression analysis, and the predictive performance was analyzed by receiver operator characteristic (ROC) curve.Results:There were 39 males and 23 females, with the age of 12.0 (5.8, 24.0) months. Fifty patients (81%) were in the good outcome group and 12 patients (19%) in the poor outcome group. The univariate Logistic regression analysis showed that age ( OR=1.037, 95% CI 1.001-1.074, P=0.041), severe abnormal aEEG ( OR=128.000, 95% CI 10.274-1 594.656, P<0.01), RAV ( OR=0.877, 95% CI 0.810-0.949, P=0.001), SE ( OR=0.892, 95% CI 0.814-0.978, P=0.015), and MPGCS score ( OR=0.511, 95% CI 0.349-0.747, P=0.001) were significantly associated with the poor outcome. However, the multivariate Logistic regression analysis showed that only severe abnormal aEEG ( OR=315.692, 95% CI 6.091-16 362.298, P=0.004) and RAV ( OR=0.808, 95% CI 0.664-0.983, P=0.033) were significantly associated with the poor outcome. The area under the curve (AUC) of the aEEG and RAV in predicting the poor outcome were 0.848 (95% CI 0.735-0.927, P<0.01) and 0.847 (95% CI 0.733-0.926, P<0.01), respectively. The optimal cut-off value was severe abnormal for the aEEG and 38% for the RAV, with sensitivity of 67% and 83%, specificity of 98% and 84%, positive predictive value of 89% and 55%, negative predictive value of 92% and 95%, and Youden index of 0.647 and 0.673, respectively. The AUC of the novel combined index of aEEG and RAV for predicting the poor outcome was 0.974 (95% CI 0.898-0.998, P<0.01). Conclusions:The aEEG and RAV are reliable predictors for the poor outcome of children with non-traumatic DoC, and the novel combined index of aEEG and RAV can improve the predictive performance. The qEEG can be used as a routine method for outcome assessment due to its good objectivity.

Objective:To analyze the prognostic factors of breast cancer patients with isolated chest wall recurrence (ICWR) after mastectomy, and investigate the optimal treatment.Methods:A total of 201 breast cancer patients with ICWR after mastectomy who were treated in Cancer Hospital, Chinese Academy of Medical Sciences and the Fifth Medical Center Chinese PLA General Hospital from October 1998 to April 2018 were retrospectively analyzed. The median follow-up was 92.8 months and survival data were obtained.Results:Among 201 patients with ICWR, 103 patients developed subsequent locoregional recurrence (sLRR) and 5-year cumulative sLRR rate was 49.1%; 134 patients developed distant metastasis (DM) and 5-year DM rate was 64.4%; 103 patients died, the median progression-free survival (PFS) was 17.4 months and the 5-year PFS rate was 23.2%; the median overall survival (OS) was 62.5 months and the 5-year OS rate was 52.1%. Multivariate analysis showed that the recurrence interval ( HR=2.17, 95% CI: 1.26-3.73) and the locoregional treatment ( HR=1.59, 95% CI: 1.05-2.40) were the independent prognostic factors for sLRR. The initial HER2 status ( HR=1.60, 95% CI: 1.03-2.48) was the independent prognostic factor for DM. The recurrence interval ( HR=1.99, 95% CI: 1.30-3.04), the locoregional treatment ( HR=1.99, 95% CI: 1.43-2.76) and the treatment modalities after recurrence ( HR=1.70, 95% CI: 1.18-2.46) were the independent prognostic factors for PFS. The initial HER2 status ( HR=1.69, 95% CI: 1.02-2.81), the recurrence interval ( HR=1.85, 95% CI: 1.15-2.98) and the treatment modalities after recurrence ( HR=2.48, 95% CI: 1.56-3.96) were the independent prognostic factors for OS. Conclusions:Breast cancer patients after ICWR have an optimistic OS until now, but the risk of sLRR and DM is high. Comprehensive treatment modalities including surgery, radiotherapy and systemic therapy improve the outcome of breast cancer patients with ICWR after mastectomy.

Objective:To explore the suitability of mechanical insufflation-exsufflation combined with external diaphragm pacemaker in elderly patients with mechanical ventilation and its effect on the complications and prognosis of mechanical ventilation.Methods:Using the convenient sampling method, a total of 40 elderly patients undergoing mechanical ventilation through nasal tracheal intubation who were admitted to the Geriatric Ward of the PLA General Hospital from September 2018 to December 2019 were selected as the research objects. The patients were divided into the observation group and the control group by random number table method, with 20 cases in each group. The control group continued the traditional airway nursing technique and limb rehabilitation training, while the observation group added mechanical insufflation-exsufflation combined with external diaphragm pacemaker on the basis of the control group. The incidence of pulmonary infection, changes in sputum production at 1 h and 24 h, diaphragm thickening rate, weaning time, success rate of weaning and mortality rate were observed in the two groups before and after intervention.Results:After the intervention, the incidence of pulmonary infection in the observation group was lower than that of the control group, the sputum production and diaphragm thickening rate at 1 h and 24 h were higher than those in the control group, the weaning time was shorter than that of the control group, and the success rate of weaning was higher than that of the control group. All differences were statistically significant ( P<0.05) . There was no statistically significant difference in mortality rate between the two groups ( P>0.05) . Conclusions:Compared with traditional airway nursing techniques, mechanical insufflation-exsufflation combined with external diaphragm pacemaker can help elderly patients with mechanical ventilation achieve airway clearance and respiratory muscle exercise more safely and effectively, improve strength and endurance of diaphragmatic muscle and enhance the ability of spontaneous cough in elderly patients. In addition, the intervention method is mild and easy for patients to accept, and it is worthy of being widely used in elderly patients with mechanical ventilation.