Objective To observe the clinical efficacy of Yishen Huoxue Decoction combined with acupuncture in treating premature ovarian insufficiency(POI)with kidney deficiency and blood stasis syndrome.Methods A total of 116 patients diagnosed with POI of kidney deficiency and blood stasis syndrome who attended the outpatient department of Sichuan North Medical College Affiliated Nanchong Traditional Chinese Medicine Hospital between April 2023 and October 2024 were selected as study subjects.Patients were randomly divided into an observation group and a control group using a random number table,with 58 cases in each group.The control group received sequential therapy with estrogen and progesterone,while the observation group received Yishen Huoxue Decoction combined with acupuncture in addition to the control group's treatment.The treatment was administered continuously for three menstrual cycles.After three months of treatment,the clinical efficacy of both groups was evaluated.Changes in TCM syndrome scores,serum hormone levels[follicle-stimulating hormone(FSH),luteinizing hormone(LH),estradiol(E2),anti-Müllerian hormone(AMH)],immune factors[interleukin-2(IL-2),tumor necrosis factor-α(TNF-α),interferon-γ(IFN-γ)],and protein expression levels of the PI3K/AKT signaling pathway were observed and compared between the two groups before and after treatment.Safety and adverse reactions were also evaluated.Results(1)The total effective rate was 91.38％(53/58)in the observation group and 74.14％(43/58)in the control group.The efficacy of the observation group was significantly superior to that of the control group,with a statistically significant difference(P＜0.05).(2)After treatment,TCM syndrome scores were significantly improved in both groups(P＜0.05),and the improvement in the observation group was significantly greater than that in the control group,with a statistically significant difference(P＜0.05).(3)After treatment,serum levels of FSH,E2,LH,and AMH were significantly improved in both groups(P＜0.05),and the improvement in the observation group was significantly greater than that in the control group,with a statistically significant difference(P＜0.05).(4)After treatment,levels of IFN-γ,TNF-α,and IL-2 were significantly improved in both groups(P＜0.05),and the improvement in the observation group was significantly greater than that in the control group,with a statistically significant difference(P＜0.05).(5)After treatment,the protein expression levels of PI3K and AKT were significantly improved in both groups(P＜0.05),and the improvement in the observation group was significantly greater than that in the control group,with a statistically significant difference(P＜0.05).(6)During treatment,the incidence of adverse reactions was 10.34％(6/58)in the observation group and 8.62％(5/58)in the control group.There was no statistically significant difference in the incidence of adverse reactions between the two groups(P＞0.05).Conclusion Based on the theory of"waxing and waning transformation of yin and yang",Yishen Huoxue Decoction combined with acupuncture significantly improves clinical symptoms,regulates the immune microenvironment,activates the PI3K/AKT signaling pathway,and effectively enhances ovarian function in patients with POI of kidney deficiency and blood stasis syndrome,demonstrating notable clinical efficacy.

Objective To analyze the ecological suitability of Codonopsis pilosula;To provide theoretical reference for expanding the planting scale of Codonopsis pilosula in Shanxi Province.Methods Information on the distribution of Codonopsis pilosula samples through the fourth survey of TCM resources in Shanxi Province and literature review;the MaxEnt model and ArcGIS 10.8 geographic information system software were used to analyze the ecological factors affecting the distribution of Codonopsis Radix in Shanxi Province,and the suitable distribution areas of Codonopsis pilosula in Shanxi Province were predicted.Results The predicted distribution areas of Codonopsis pilosula in Shanxi Province by the model were highly consistent with the actual distribution area;the AUC of the training set was 0.945,indicating good prediction results.The predominant ecological factors(contributing)impacting the distribution of Codonopsis pilosula included vegetation type(31.1%),the standard deviation of seasonal temperature fluctuations(25.0%),slope(8.3%),mean January precipitation(5.3%),mean May precipitation(5.0%),and elevation(4.9%)etc.The optimal vegetation types conducive to the proliferation of Codonopsis pilosula were identified as temperate deciduous shrubs,temperate grasslands,temperate coniferous forests,and temperate deciduous broad-leaved forests.The standard deviation of seasonal temperature change was within the range of 92 to 108,the slope gradient was from 14° to 30°,mean January precipitation was of 4 to 6.8 mm,mean May precipitation was of 33.5 to 58 mm,and elevation ranged from 1 100 to 2 800 meters.Codonopsis pilosula was mainly distributed in Lucheng,Qinxian and Qinyuan counties in the eastern part of Taiyue Mountain in Changzhi City;Pu County,Fenxi County,Fenyang City of Lyuliang City in the Lyuliang Mountain Range and Yushe County of Jinzhong City in the northern part of Taiyue Mountain.The most suitable area in Shanxi Province was 14 109.67 km2,the suitable area encompassed 22 837.62 km2,the relatively suitable area covered 41 982.96 km2,while the unsuitable area extended over 77 769.75 km2.Conclusion The geographical distribution data of Codonopsis pilosula resources in Shanxi Province may serve as a basis for further examination of regional zoning,with the establishment of wild cultivation bases for Codonopsis pilosula in proximity to various mountain ranges,such as the Taihang Mountains.Moreover,the artificial cultivation conditions can be modified in accordance with the optimal growth environment of Codonopsis pilosula,thereby optimizing the management of Codonopsis resources.

Objective To analyze the ecological suitability of Codonopsis pilosula;To provide theoretical reference for expanding the planting scale of Codonopsis pilosula in Shanxi Province.Methods Information on the distribution of Codonopsis pilosula samples through the fourth survey of TCM resources in Shanxi Province and literature review;the MaxEnt model and ArcGIS 10.8 geographic information system software were used to analyze the ecological factors affecting the distribution of Codonopsis Radix in Shanxi Province,and the suitable distribution areas of Codonopsis pilosula in Shanxi Province were predicted.Results The predicted distribution areas of Codonopsis pilosula in Shanxi Province by the model were highly consistent with the actual distribution area;the AUC of the training set was 0.945,indicating good prediction results.The predominant ecological factors(contributing)impacting the distribution of Codonopsis pilosula included vegetation type(31.1%),the standard deviation of seasonal temperature fluctuations(25.0%),slope(8.3%),mean January precipitation(5.3%),mean May precipitation(5.0%),and elevation(4.9%)etc.The optimal vegetation types conducive to the proliferation of Codonopsis pilosula were identified as temperate deciduous shrubs,temperate grasslands,temperate coniferous forests,and temperate deciduous broad-leaved forests.The standard deviation of seasonal temperature change was within the range of 92 to 108,the slope gradient was from 14° to 30°,mean January precipitation was of 4 to 6.8 mm,mean May precipitation was of 33.5 to 58 mm,and elevation ranged from 1 100 to 2 800 meters.Codonopsis pilosula was mainly distributed in Lucheng,Qinxian and Qinyuan counties in the eastern part of Taiyue Mountain in Changzhi City;Pu County,Fenxi County,Fenyang City of Lyuliang City in the Lyuliang Mountain Range and Yushe County of Jinzhong City in the northern part of Taiyue Mountain.The most suitable area in Shanxi Province was 14 109.67 km2,the suitable area encompassed 22 837.62 km2,the relatively suitable area covered 41 982.96 km2,while the unsuitable area extended over 77 769.75 km2.Conclusion The geographical distribution data of Codonopsis pilosula resources in Shanxi Province may serve as a basis for further examination of regional zoning,with the establishment of wild cultivation bases for Codonopsis pilosula in proximity to various mountain ranges,such as the Taihang Mountains.Moreover,the artificial cultivation conditions can be modified in accordance with the optimal growth environment of Codonopsis pilosula,thereby optimizing the management of Codonopsis resources.

OBJECTIVE To compare the metabolomic characteristics of stage T1 papillary thyroid carcinoma(PTC)and nodular goiter(NG),and the relationship between metabolites and lymph node metastasis of PTC.METHODS Serum samples were collected from 60 patients with stage T1 PTC and 30 patients with NG who underwent thyroidectomy at the Department of Otolaryngology Head and Neck Surgery,Civil Aviation General Hospital between September 2021 and April 2022.The PTC group was divided into the N+ group with lymph node metastasis and the N-group without lymph node metastasis according to the presence or absence of lymph node metastasis.The serum metabolites of the N+ and N-groups and the PTC and NG groups were compared and analyzed using an ultra-performance liquid chromatography-mass spectrometry(UPLC-Q-Exactive-MS)coupled platform,and principal component analysis(PCA),partial least squares discriminant analysis(PLS-DA),and orthogonal partial least squares discriminant analysis(OPLS-DA)was performed using SIMCA-P 14.1 software.OPLS-DA modeling,combined with FDR-corrected Mann-Whitney-Wilcoxon test results and metabolite difference multiples in the two groups undergoing comparison,etc.to screen for potential small molecule metabolic markers,and to establish a joint diagnostic model by binary logistic regression analysis.RESULTS There were no significant differential metabolites between the N+ group with lymph node metastasis and the N-group without lymph node metastasis.Seven differential metabolites were found between PCA patients and NG patients,and the five relevant metabolic pathways were the pentose phosphate pathway,pentose and glucuronide interconversion,glycolysis/gluconeogenesis,fructose,and mannose metabolism,and fatty acid biosynthesis.The differential metabolite with an area under the ROC curve>0.9 was D-glyceraldehyde 3-phosphate,and another N-undecanoylglycine,uronic acid,and the area under the ROC curve for three metabolites,N-undecanoylglycine,uric acid,and triiodothyronine glucuronide,was>0.8.CONCLUSION PTC patients differed from NG patients mainly in glucose metabolism and lipid metabolism,and D-glyceraldehyde 3-phosphate could be distinguished from NG patients with the aid of N-undecanoylglycine,uric acid,and triiodothyronine glucuronide,combined with imaging findings.Also,no significant differences in serum metabolites were found in the N+ group compared with the N-group,and the presence or absence of lymph node metastases did not affect serum metabolites in patients with stage T1 PTC.

Objective To grasp the main environmental factors affecting the growth of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao;To predict the distribution of suitable areas of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao in Shanxi Province;To provide references for the rational distribution of the resources in Shanxi Province.Methods This study utilized the sample point longitude and latitude information collected in the"Fourth Survey of Chinese Materia Medica Resources"database in Shanxi Province.The data were supplemented by searching the China Digital Herbarium and retrieving related literature records.347 sample points distribution data and environmental factors were added to the MaxEnt model.The main environmental factors and contribution rates affecting the geographical distribution of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao were screened out.The ArcGIS software was used to divide the ecological suitable area of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao in Shanxi Province.Results The area under the ROC curve of the established MaxEnt model was 0.909,indicating that the model prediction results were accurate.The model screened 19 environmental factors.Among them,climate factor was the most important environmental factor,followed by biological factor and topographic factor,and soil factor had the least influence.The potential suitable areas of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao in Shanxi Province were mainly distributed in the northern mountainous areas,presenting a trend of gradually decreasing suitability levels from north to south.Under the current climate conditions,the most suitable area for Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao in Shanxi Province was 15 424 km2,the suitable area was 19 856 km2,the sub suitable area was 59 436 km2,and the unsuitable area was 61 894 km2.Conclusion Based on MaxEnt model and ArcGIS software,this study predicts the distribution of suitable areas of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao in Shanxi Province,which has certain reference value for the protection and rational distribution of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao resources in Shanxi Province.

Background::The goal of the assisted reproductive treatment is to transfer one euploid blastocyst and to help infertile women giving birth one healthy neonate. Some algorithms have been used to assess the ploidy status of embryos derived from couples with normal chromosome, who subjected to preimplantation genetic testing for aneuploidy (PGT-A) treatment. However, it is currently unknown whether artificial intelligence model can be used to assess the euploidy status of blastocyst derived from populations with chromosomal rearrangement.Methods::From February 2020 to May 2021, we collected the whole raw time-lapse videos at multiple focal planes from in vitro cultured embryos, the clinical information of couples, and the comprehensive chromosome screening results of those blastocysts that had received PGT treatment. Initially, we developed a novel deep learning model called the Attentive Multi-Focus Selection Network (AMSNet) to analyze time-lapse videos in real time and predict blastocyst formation. Building upon AMSNet, we integrated additional clinically predictive variables and created a second deep learning model, the Attentive Multi-Focus Video and Clinical Information Fusion Network (AMCFNet), to assess the euploidy status of embryos. The efficacy of the AMCFNet was further tested in embryos with parental chromosomal rearrangements. The receiver operating characteristic curve (ROC) was used to evaluate the superiority of the model. Results::A total of 4112 embryos with complete time-lapse videos were enrolled for the blastocyst formation prediction task, and 1422 qualified blastocysts received PGT-A ( n = 589) or PGT for chromosomal structural rearrangement (PGT-SR, n = 833) were enrolled for the euploidy assessment task in this study. The AMSNet model using seven focal raw time-lapse videos has the best real-time accuracy. The real-time accuracy for AMSNet to predict blastocyst formation reached above 70% on the day 2 of embryo culture, and then increased to 80% on the day 4 of embryo culture. Combing with 4 clinical features of couples, the AUC of AMCFNet with 7 focal points increased to 0.729 in blastocysts derived from couples with chromosomal rearrangement. Conclusion::Integrating seven focal raw time-lapse images of embryos and parental clinical information, AMCFNet model have the capability of assessing euploidy status in blastocysts derived from couples with chromosomal rearrangement.

Objective To analyze the bed utilization efficiency of various clinical departments in a public hospital and provide reference for the rational allocation of departmental bed resources.Methods Based on the data from a tertiary specialized hospital in 2022,traditional bed efficiency indicators were used as the basis.The Case Mix Index(CMI)was introduced for ad-justment,and the reasonable range of beds for each department was calculated.Data Envelopment Analysis(DEA)was em-ployed to comprehensively evaluate the input-output efficiency of each clinical department and determine the direction for optimi-zing bed allocation.Results Among the 39 departments included in the study,10 departments had inappropriate bed settings.Among them,5 departments needed additional beds,while 5 departments needed to reduce the number of beds.Conclusion By adjusting the bed efficiency indicators using CMI and combining the DEA method,hospitals can obtain a scientific basis for dy-namically adjusting the number of beds in clinical departments.Hospitals should make rational use of bed resources and scientifi-cally plan departmental beds.

Humans ; Asthma/diagnosis* ; HMGB1 Protein

Objective:To compare the social support levels as understood by family doctor team members in township hospitals/community health centers, and village clinics/community clinics, and their influencing factors, in order to provide reference for improving the work status of family doctor team members and enhancing the quality of family doctors′ contracted services.Methods:A multi-stage random cluster sampling method was used to sample medical workers from contracted family doctor teams in township hospitals/community health centers and their subordinate village clinics/community clinics in 6 counties (cities, districts) of Tai′an city, Shandong province. In August 2020, a questionnaire survey was conducted on the perceived level of social support among family doctor team members using the perceived social support scale. Descriptive analysis was conducted on the data, and independent sample t-tests and one-way ANOVA were used to conduct univariate analysis on the influencing factors of perceived social support scores of family doctor team members at different levels, while multiple linear regression analysis was used to conduct multivariate analysis. Results:A total of 765 valid questionnaires were collected, with 203 and 562 from township hospitals/community health centers and village clinics/community clinics, respectively. The total perceived social support scores of family doctor team members in township hospitals/community health centers and village clinics/community clinics were (65.56±10.29) and (67.31±10.14), respectively, featuring statistically significant differences ( t=-2.11, P<0.05). In-mirage marital status ( β=0.18, P=0.008), good/very good self-rated health status ( β= 0.25, P=0.048), participation of work-related training within one year ( β=0.17, P=0.010), relatively satisfied/very satisfied for job promotion ( β= 0.17, P=0.046), as well as above/far above average self-rated economic status as ( β=-0.15, P=0.027), were the influencing factor on the perceived social support scores of family doctor team members in township hospitals/community health centers. In-marriage marital status ( β= 0.12, P=0.002), good/very good self-rated health status ( β=0.14, P=0.026), junior or intermediate level or above professional title ( β=-0.11, P=0.003; β=-0.10, P=0.006), participation of work-related training within one year ( β= 0.14, P<0.001), and relatively satisfied/very satisfied for job promotion ( β= 0.16, P<0.001) were the influencing factors on the perceived social support scores of family doctor team members in village clinics/community clinics. Conclusions:Members of the family doctor teams in primary medical institutions in Tai′an city had a higher level of understanding of social support. There were differences in the social support levels of family doctor team members between the two levels of primary medical and health care institutions, and the influencing factors were not completely consistent. Targeted measures should be taken based on specific circumstances to enable them to better receive and perceive support from family and friends, and to improve the quality of family doctors′ contracted services.