Based on the holistic view of "spleen-vessels-heart-spirit" system， this article explores the pathogenesis and progression of atrial fibrillation. It is proposed that the onset of atrial fibrillation is due to failure of the spleen to transport and disharmony of blood vessels； phlegm and blood stasis obstructing the collaterals and damage to the heart structure are the basis of its pathogenesis； the unclear mind and disorder of body and spirit are the causes of its progression. Based on the characteristics of pathological changes in different stages of the disease， it is proposed that early treatment should focus on restoring the middle jiao， clearing and promoting blood vessels， using modified Yigong Powder （异功散）； during the progression of the disease， treatment should remove blood stasis and phlegm， nourish heart and protect the pulse， using self-prescribed modified Mengshi Tongmai Decoction （礞石通脉汤）； meanwhile， calming mind and stabilizing palpitations， and regulating spirit should be sequentially incorporated， with self-prescribed Jiazao Ningmai Decoction （甲枣宁脉汤） or Shenying Dingji Decoction （参英定悸汤） and modified as appropriate. Clinical treatment should focus on the whole disease course of atrial fibrillation， implementing stage-based treatments to enable early intervention and holistic regulation.

Atherosclerosis is a complex pathological condition resulting from lipid deposition， chronic inflammatory responses， and fibrosis， with a prolonged disease course and multifactorial etiology. Based on the traditional Chinese medicine （TCM） theory of accumulation syndrome， atherosclerosis can be classified under this category， with its pathogenesis involving phlegm， blood stasis， deficiency， and accumulation. This paper proposed a stage-based intervention strategy using the four therapeutic principles of "attacking， supplementing， dispersing， dissipating"， and divided into six stages based on the pathological progression， including the stage of accumulation before formation， the stage of accumulation already formed， the stage of nucleus accumulation， the stage of nucleus accumulation decay， the stage of nucleus accumulation consolidation， and the stage of severe stenosis of nucleus. At different stages， the intervention focuses on reinforcing healthy qi and consolidating the root， tonifying the kidneys and spleen， dispersing and removing turbidity， removing phlegm stagnation， promoting qi circulation， dispersing accumulations and removing stasis， attacking accumulation and expelling stasis， directing the turbid downward and dispersing accumulation， and treatment would be adjusted based on specific symptoms， which provides a theoretical framework for the prevention and treatment of atherosclerosis with TCM.

Objective:To construct a non-invasive pre-hospital screening model and early based on artificial intelligence algorithms to provide the severity of stroke in patients, provide screening, guidance and early warning for stroke patients and their families, and provide data support for clinical decision-making.Methods:A retrospective study was conducted. The clinical information of stroke patients ( n = 53?793) were extracted from the Yidu cloud big data server system of the Second Affiliated Hospital of Dalian Medical University from January 1, 2001 to July 31, 2023. Combined with the results of single factor screening and the opinions of experts with senior professional titles in neurology, the input variable was determined, and the output variable was the National Institutes of Health Stroke Scale (NIHSS) representing the severity of the disease at admission. Python 3.7 was used to build DeepFM algorithm model, and five data mining models including Logistic regression, CART decision tree, C5.0 decision tree, Bayesian network and deep neural network (DNN) were built at the same time. The original data were randomly divided into 80% training set and 20% test set, which were used to train and test the models, adjust the parameters of each model, respectively calculate the accuracy, sensitivity and F-index of the six models, carry out the comprehensive comparison and evaluation of the model. The receiver operator characteristic curve (ROC curve) and calibration curve were drawn, compared the prediction performance of DeepFM model and the other five algorithms. In addition, the data of stroke patients ( n = 1?028) were extracted from Dalian Central Hospital for external verification of the model. Results:A total of 14?015 stroke patients with complete information were selected, including 11?212 in the training set and 2?803 in the testing set. After univariate screening, 14 indicators were included to construct the model, including gender, age, recurrence, physical impairment, facial problems, speech disorders, head reactions, disturbance of consciousness, visual disorders, abnormal cough and swallowing, high risk factor, family history, smoking history and drinking history. DeepFM model adopted the two-order crossover feature. The number of hidden layers in DNN layer was 3. Dropout was used to discard the neurons in the neural network. Rule was used as the activation function. Each layer used Dense full connection. The objective function was random gradient descent. The number of iterations was 15. There were 133?922 training parameters in total. Comparing the predictive value of the six models showed that the accuracy of DeepFM model was 0.951, the sensitivity was 0.992, the specificity was 0.814, the F-index was 0.950, and the area under the curve (AUC) was 0.916. The accuracy of the other five data mining models were between 0.771-0.780, the sensitivity were between 0.978-0.987, the F-index were between 0.690-0.707, and the AUC were between 0.568-0.639. The calibration curve of the DeepFM model was more aligned with the ideal curve than the other five data mining models. Suggesting that the prediction performance of DeepFM model was the best. External validation was conducted on the DeepFM model, and its accuracy was 0.891, indicating good generalization performance of the model.Conclusion:The pre-hospital non-invasive screening prediction model based on DeepFM can accurately predict the severity grading of stroke patients, and has potential application value in rapid screening and early clinical decision-making of stroke.

Objective:To explore the correlation between serum levels of interleukin-9 (IL-9), platelet activating factor (PAF), total immunoglobulin E (IgE), interferon γ (IFN-γ), and interleukin-4 (IL-4) in patients with chronic spontaneous urticaria (CSU).Methods:Sixty CSU active phase patients admitted to the First Affiliated Hospital of Hebei North University from March 2018 to March 2019 were selected and included in the CSU active phase group. Based on the 7-day Urticaria Activity Score (UAS7), they were divided into three groups: 15 mild group, 25 moderate group, and 20 severe group; And 19 patients who entered the quiescent phase of the disease after 28 days of standardized antihistamine treatment were included in the CSU quiescent phase group. Another 30 healthy subjects who participated in the physical examination at the same time at our hospital′s physical examination center were selected to be included in the healthy control group. 5 ml of fasting elbow vein blood was collected from CSU active and stationary patients, as well as healthy subjects. The serum levels of IL-9, PAF, total IgE, IFN-γ, and IL-4 were detected using enzyme-linked immunosorbent assay. Pearson correlation test was used to analyze the correlation between serum IL-9, PAF levels and total IgE, IFN-γ, and IL-4 levels in CSU active patients.Results:The serum levels of IL-9, PAF, total IgE, and IL-4 in the CSU active phase group were higher than those in the CSU stationary phase group and healthy control group (all P<0.05), and the serum IFN-γ levels were lower than those in the CSU stationary phase group and healthy control group (all P<0.05). There was no statistically significant difference in the levels of the above indicators between the healthy control group and the CSU stationary group (all P>0.05). The serum levels of IL-9, PAF, total IgE, and IL-4 in the severe group were significantly higher than those in the mild and moderate groups (all P<0.05), and the serum IFN-γ levels were significantly lower than those in the mild and moderate groups (all P<0.05); The serum levels of IL-9, PAF, total IgE, and IL-4 in the moderate group were significantly higher than those in the mild group (all P<0.05), and the serum IFN-γ levels were significantly lower than those in the mild group ( P<0.05). Pearson correlation analysis showed that serum IL-9 and PAF levels were positively correlated with serum total IgE and IL-4 levels in CSU active phase patients (IL-9: r=0.726, 0.870, PAF: r=0.788, 0.795, all P<0.01), and negatively correlated with serum IFN-γ levels (IL-9: r=-0.831, PAF: r=-0.816, all P<0.01). Conclusions:The serum levels of IL-9 and PAF in patients with active CSU are elevated and correlated with total IgE, IFN-γ, and IL-4 levels, suggesting that IL-9 and PAF may be related to the occurrence and development of CSU.

Paroxysmal atrial fibrillation can be attributed to the category of xinji （palpitations） and zhangchong （severe palpitations） in traditional Chinese medicine， and its onset has the characteristics of urgency， change， and movement， which is similar to the characteristics of diseases induced by wind pathogen. It is believed that the internal movement of wind pathogen runs through the whole course of this disease， and palpitations due to wind as the direct pathogenesis. Palpitations caused by wind pathogen showed different characteristics of deficiency and excess pattern. In the acute exacerbation period， excess wind is the main cause of disease. For excessive heat generating wind， the treatment is to clear the liver and extinguish wind by self-modified Lingxia Qinggan Decoction （羚夏清肝汤）； for blood stasis generating wind， the treatment is to remove blood stasis and stop wind by self-modified Yandan Limai Decoction （延丹理脉汤）； for phlegm-heat accumulation with wind， the treatment is to dissolve phlegm and eliminate wind by self-modified Lianlou Danxing Decoction （连蒌胆星汤）. In the prolonged recovery period， deficiency wind is more common. For stirring of wind due to yin deficiency， the treatment is to nourish yin and extinguish wind by self-modified Zaoshao Zhenzhu Deoction （枣芍珍珠汤）； for spleen deficiency generating wind， the treatment is to strengthen spleen and nourish wind by self-modified Shenying Dingji Deoction （参英定悸汤）. Clinical prescriptions closely follow the characteristics of wind， weigh the changes of deficiency and excess， tailor with the patterns， and regulate qi and blood of the zang-fu organs， in order to extinguish wind and arrest convulsion.

Objective:To explore the relationship of serum interleukin (IL) -9 and platelet-activating factor (PAF) levels with serum total immunoglobulin E (IgE) levels, disease severity and disease course in patients with chronic spontaneous urticaria (CSU) .Methods:A total of 60 patients with active CSU were collected from Department of Dermatology, the First Affiliated Hospital of Hebei North University from March 2018 to March 2019 (active CSU group), and divided into mild group, moderate group and severe group according to 7-day urticaria activity score (UAS7). After 28-day standard antihistamine therapy, the patients whose condition became stable were included in the stable CSU group. During the same period, 30 health examinees were included in the healthy control group. Peripheral venous blood samples were collected from the subjects in each group, enzyme-linked immunosorbent assay (ELISA) was performed to detect serum levels of IL-9 and PAF, and immunoturbidimetric assay to detect the serum total IgE level. Correlations of serum IL-9 and PAF levels with serum total IgE levels, UAS7 scores and disease courses were analyzed in patients with CSU. One-way analysis of variance was used for comparisons among multiple groups, least significant difference- t test for multiple comparisons, and Pearson correlation analysis for correlation analysis. Results:Totally, 28 males and 32 females were included in the active CSU group, their age ranged from 11 to 68 years (34.68 ± 8.62 years), and the disease duration ranged from 2 months to 7 years (1.42 ± 0.41 years). In the healthy control group, 14 were males and 16 were females, and their age ranged from 10 to 70 years (35.06 ± 7.89 years). According to UAS7, 12, 26, and 22 patients were diagnosed with mild, moderate and severe CSU respectively, and 22 were included in the stable CSU group after standard treatment. The levels of serum IL-9, PAF and total IgE significantly differed among the active CSU group, stable CSU group and healthy control group (IL-9: 144.34 ± 23.19 vs. 109.25 ± 20.77 vs. 107.23 ± 19.23 pg/ml; PAF: 362.45 ± 51.45 vs. 223.18 ± 32.46 vs. 221.23 ± 28.38 pg/ml; total IgE: 168.12 ± 32.48 vs. 24.04 ± 7.04 vs. 21.76 ± 5.95 IU/ml; F = 38.80, 148.38, 499.12, respectively, all P < 0.001), and were significantly higher in the active CSU group than in the stable CSU group and healthy control group (all P < 0.05), while there was no significant difference between the stable CSU group and healthy control group (all P > 0.05). Pearson correlation analysis showed that the serum IL-9 and PAF levels were positively correlated with serum total IgE levels and UAS7 scores (all P < 0.05), but not correlated with the disease course (both P > 0.05) . Conclusion:Serum IL-9 and PAF levels in patients with active CSU were markedly elevated along with the increase in disease severity, and closely correlated with serum total IgE levels.

Objective: To investigate risk factors and epidemiological characteristics of bacillary dysentery outbreaks in three schools, and to provide scientific basis for the prevention and control of the epidemic in the future. Methods: Case definition was established. All suspected, possible and confirmed cases of all students and faculty members from 3 schools (A, B, C) were selected for epidemiological investigation. Control group was used for case-control analysis, and relevant samples were collected for laboratory testing. Results: A total of 132 cases were found in 3 schools, all of which were from students, with the incidence rate of 17.74%. The morbidity in kindergarten A was 20.00%, in center primary school B it was 21.74%, and in junior middle school C it was 11.61%. Cohort studies and casecontrol studies suggested that schools are exposed places and that washing hands with raw water in schools was possible risk factor [OR(95%CI) =4.50(1.01-20.11)]. Nine stool samples were tested in laboratory, among which 8 were positive for Shigella(88.99%), and Shigella was detected in the end nodes of school s pipeline network, the water samples from canteen bucket, and the floor drains of sewer pipe. Conclusion The bacillary dysentery outbreaks in 3 schools was caused by Shigella, which may be due to fecal contamination of domestic water in 3 schools before the start of the school year. It is suggested to strengthen the management of centralized water supply and construction in rural areas, intensify the supervision at all levels, and sanitation and disinfection before school opens at all levels.

Objective:To investigate the diagnostic and prognostic value of the growth differentiation factor 15 (GDF15) and the procalcitonin (PCT) in sepsis.Methods:A total number of 137 patients with sepsis (considered as the sepsis group) and 59 patients with inflammatory infection but not diagnosed as sepsis (the non-sepsis group) received treatment in intensive care unit of Renming Hospital of Wuhan University were collected from July 2020 to January 2021, and 62 cases of healthy physical examination (control group) were simultaneously chosen as control. Sepsis patients were divided into two groups (death group [ n=48] and survival group [ n=89]) according to their 28-day′s survival. The serum levels of GDF15, PCT, C-reactive protein (CRP), interleukin-6 (IL-6) and interleukin-10 (IL-10) were examined, and the levels of each index, was dynamically monitored on the 1st, 3rd and 7th day after admission. The differences of the two indicators between different groups were compared by non-parametric test. The correlation between GDF15 and PCT was analyzed by Spearman correlation test. The receiver operating characteristic (ROC) curve was drawn to evaluate the diagnostic and prognostic value of the two indicators for sepsis. Results:The levels of GDF15 in the sepsis group, non-sepsis group and control group were 3.22 (1.39, 6.31) μg/L, 0.84 (0.21, 1.66) μg/L and 0.11 (0.09, 0.13) μg/L, respectively. The levels of PCT were 13.10 (1.99, 50.25) μg/L, 0.24 (0.13, 0.68) μg/L and 0.05 (0.03, 0.10) μg/L, respectively. The levels of CRP were 115.80 (26.40, 184.07) mg/L, 24.20 (11.30, 53.20) mg/L and 0.50 (0.50, 2.76) mg/L, respectively. The levels of IL-6 were 68.26 (21.59, 255.46) ng/L, 33.20 (10.81, 89.27) ng/L and 8.82 (7.33, 11.23) ng/L, respectively. The levels of IL-10 were 11.30 (5.88, 25.50) ng/L, 9.34 (5.65, 16.90) ng/L and 4.94 (4.31, 5.31) ng/L, respectively. The GDF15, PCT, CRP and IL-6 of the sepsis group were significantly higher than those of the non-sepsis group (The U values were 67.681, 86.034, 44.164 and 38.934, respectively, with P values less than 0.05) and the control group (The U values were 136.475, 138.667, 120.701 and 100.886, respectively, with P values less than 0.001). There was no significant difference in IL-10 between sepsis group and nonsepsis group, but it was higher than that of control group ( U=80.221, P<0.001). There was a positive correlation between GDF15 and PCT in patients with sepsis, and the spearman correlation coefficient was 0.234 ( P=0.006). The GDF15 of the death group and the survival group were 5.49 (3.60, 8.25) μg/L and 2.03 (1.06, 3.69) μg/L, and the PCT levels were 26.45 (11.23, 94.25) μg/L and 9.08 (1.33, 22.75) μg/L, respectively. GDF15 and PCT in the death group were significantly higher than those in the survival group ( U values were 3 305.500 and 3 060.000, respectively, and P values were both less than 0.001). The GDF15 and PCT levels in the death group were higher than those in the survival group on the 1st, 3rd and 7th day of dynamic monitoring ( P<0.05), however, the level of CRP and IL-10 were not significantly different ( P>0.05). The level of IL-6 in the death group was not significantly different from that of the death group on 1st day, but was higher than that of the survival group on the 3rd and 7th day ( P<0.05). The area under the curve (AUC) of GDF15, PCT, CRP, IL-6 and IL-10 alone and in the combined diagnosis of sepsis were 0.899, 0.938, 0.874, 0.789, 0.698 and 0.962, respectively. The combined detection of AUC was better than a single index; the GDF15, PCT, CRP, IL-6 and IL-10 alone and combined detection of sepsis prognosis AUC were 0.774, 0.716, 0.522, 0.623, 0.520 and 0.839, respectively, the combined detection of AUC is also better than single index. Conclusions:GDF15 and PCT have good clinical reference value in the differential diagnosis and prognosis of sepsis. The combination of indicators has a higher clinical value. GDF15 may become a biomarker for the diagnosis and prognosis of sepsis.

Objective To explore the value of anti-Müllerian hormone (AMH) and age in predicting outcomes of patients undergoing in vitro fertilization and embryo transfer treatment. Methods In this retrospective study, 6 328 Chinese patients who underwent the first in vitro fertilization or intracytoplasmic sperm injection and embryo transfer treatment in Henan Provincial People′s Hospital between July 2016 and July 2018 were analyzed. All the patients were categorized into two groups according to pregnancy or not. Baseline data and outcomes of two groups were compared. The regression analysis was conducted to identify the independent factors of clinical pregnancy rates. Furthermore, correlation analysis was performed between AMH and other factors. Results (1) The total clinical pregnancy rate was 56.86% (3 547/6 238). Age, AMH, basal FSH, antral follicle number (AFC), starting dose of gonadotropin (Gn), total doses of Gn, duration of Gn, number of oocytes, transferable cleavage embryos and transferred embryos were significantly different (all P<0.01). (2) Correlation analysis showed that AMH had significant passive correlation with age, basal FSH, starting dose of Gn and total doses of Gn (all P<0.01), while showed significant positive correlation with AFC, body mass index, duration of Gn, number of oocytes and transferable cleavage embryos (all P<0.01). Of all the factors, AMH had the strongest correlation with AFC (P<0.01). (3) Multivariate logistic regression analysis suggested that age was the independent influencing factor of clinical pregnancy rate ( OR=0.938, 95%CI : 0.824-0.952, P<0.01), while AMH not ( OR=1.004, 95%CI : 0.984-1.024, P=0.687). In the subgroups according to age, the advanced group (age>35 years old) had lower clinical pregnancy rate and higher cancellation rate for no available embryos. Conclusions AMH has no predictive value of clinical pregnancy outcomes for patients with in vitro fertilization and embryo transfer treatment, while age has certain predictive value of pregnancy outcomes. AMH level may have indictive value for the evaluation of ovarian reserve.

To establish a method for isolation, culture and identification of adipose-derived mesenchymal stem cells (ASCs) from the inbreed line miniature pig of Wuzhishan (ILMW).
 Methods: A total of 100 g adipose tissues were obtained from subcutaneous tissues of neck in six-month old healthy ILMW (3 samples, male). ASCs from ILMW (ILMW-ASCs) were isolated from adipose tissues through 0.1% collagenase digestion. The cells at the 3rd, 5th, 8th, 13th passages were collected. Cell morphology, size, phenotype, cell cycle, and apoptosis were monitored. Cell differentiation was induced and cell proliferation curve was drawn.
 Results: The ILMW-ASCs, fibroblast-like or whirlpool-like, began the adherence at 36 h and entered a logarithmic phase in the 5th day. Eighty percent of them were fused in the 7th day. The average diameter and volume of ILMW-ASCs were (17.00±0.54) µm and (2.58±0.24)×10-9 L, respectively. The expressions of CD29, CD44 and CD90 were positive, and there was no significant difference between the different passages (all P>0.05). The expressions of CD45, CD8a and HLA-DR were increased with the increase in passages after the 3th passage (all P<0.05). The adipogenic induction of ILMW-ASCs was observed by positive oil red O staining, and the osteogenic induction of ILMW-ASCs was determined by positive alizarin red staining. Apoptosis and senescence occurred in the 13 passage of ILMW-ASCs, and the proportion of S phase of cell cycle was lower than that in lower passages (all P<0.05). 
 Conclusion: ILMW-ASCs are one of the best choice for porcine ASCs, which might provide a source of candidate stem cells for therapy of large animal disease models and tissue or organ repairment.
Adipose Tissue ; Animals ; Cell Differentiation ; Cells, Cultured ; Male ; Mesenchymal Stem Cells ; Swine ; Swine, Miniature