1.Effect of Wenyang Huazhuo Formula (温阳化浊方) on Reproductive Aging,Ovarian Mechanical Micro-environment,and Offspring Reproductive Potential in Aged Model Mice
Jiaqi XU ; Xiaoli ZHAO ; Nan JIANG ; Kaixi LI ; Yafei DING ; Zimu WEN ; Yingying JIA ; Mengjun JIANG ; Tian XIA
Journal of Traditional Chinese Medicine 2025;66(6):612-620
ObjectiveTo explore the possible mechanisms of Wenyang Huazhuo Formula (温阳化浊方, WHF) in improving reproductive aging from the perspective of the ovarian mechanical microenvironment. MethodsThe experiment included five groups, 3-month group (20 female mice at 3 months of age), 6-month group (20 female mice at 6 months of age), 6-month + WHF group (20 female mice at 5 months of age treated with WHF), 9-month group (20 female mice at 9 months of age), and 9-month + WHF group (20 female mice at 8 months of age treated with WHF). The 6-month + WHF group and 9-month + WHF group were orally administered WHF 41.2 g/(kg·d) once daily for 4 consecutive weeks. The other three groups received no intervention. Reproductive hormone levels were measured by ELISA. HE staining was used to count the numbers of various stages of follicles. Ovarian hyaluronic acid (HA) content and collagen fiber content were measured to evaluate the ovarian mechanical microenvironment. Superovulation was performed to observe the number of eggs obtained, as well as the number of offspring and birth weight to assess fertility. The in vitro fertilization and blastocyst culture of oocytes from female offspring in each group were observed to evaluate the effect of WHF on offspring reproductive potential. ResultsCompared with the 3-month group, the 6-month group and 9-month group showed significantly decreased serum levels of gonadotropin-releasing hormone (GnRH), follicle-stimulating hormone (FSH), and luteinizing hormone (LH), decreased ovarian collagen content, and reduced numbers of primordial and secondary follicles. In contrast, the numbers of primary follicles, antral follicles, and atretic follicles increased. The levels of anti-Müllerian hormone (AMH), ovarian HA content, and the fertilization rate, cleavage rate, and blastocyst formation rate of oocytes from offspring were significantly lower (P<0.05). Compared with the 6-month group, the 6-month + WHF group showed significantly reduced serum levels of GnRH, FSH, and LH, with a significant decrease in primary follicles, antral follicles, and atretic follicles as well as increase of AMH levels, ovarian HA content, number of primordial and secondary follicle, egg count, and offspring birth weight (P<0.05). Compared with the 9-month group, the 9-month + WHF group exhibited reduced GnRH, FSH, and collagen fiber content, as well as reduced number of primary follicles, antral follicles, and atretic follicles. However, AMH levels, ovarian HA content, number of primordial and secondary follicle, egg count, offspring numbers, birth weight, fertilization rate, cleavage rate, and blastocyst formation rate of oocytes from offspring all significantly increased (P<0.05). ConclusionWHF can significantly improve the ovarian reserve, fertility, and reproductive potential in offspring during reproductive mid-life and late-life stages. Its effect may be related to the remodeling of the mechanical microenvironment of aging ovaries. Moreover, the effect on the mechanical microenvironment remodeling of late-stage ovaries and the improvement of the offspring reproductive potential is more significant.
2.Epidemiological characteristics of influenza in Beijing, 2023‒2024
Lu ZHANG ; Ying SUN ; Li ZHANG ; Chunna MA ; Jiaojiao ZHANG ; Jia LI ; Jiaxin MA ; Yingying WANG ; Xiaodi HU ; Daitao ZHANG ; Wei DUAN
Shanghai Journal of Preventive Medicine 2025;37(10):821-825
ObjectiveTo understand the epidemic characteristics of influenza in Beijing from 2023 to 2024, and to provide a scientific basis for the prevention and control of influenza. MethodsData on influenza-like illness (ILI) from secondary level and above hospitals, etiology surveillance data, and influenza clusters outbreaks data from 2023‒2024 were used to analyze the epidemic trend and pathogenic characteristics of influenza. Furthermore, an influenza comprehensive index was used to categorize the epidemic intensity at the severity level. ResultsA total of 2 065 857 ILI cases were reported in 2023‒2024 epidemic season, and the percentage of ILI was 3.67%. The age group of 5‒14 years accounted for the highest proportion of ILI (30.48%). A total of 41 766 throat swabs from ILI were detected, with a positive rate of 17.28%.A (H3N2) (51.86%) and B Victoria (41.93%) were the most prevalent subtypes of influenza virus. Clustered influenza outbreaks occurred mainly in primary schools (57.78%) and middle schools (35.55%), mainly caused by the influenza A (H3N2) subtype (85.93%). According to the influenza comprehensive index (I), the period of influenza activity and above (I>0.5) lasted for a total of 37 weeks, accounting for 71.15% of the entire influenza season. ConclusionCompared with previous years, the epidemic level of influenza in Beijing was increased in 2023‒2024, and the peak time became earlier. The comprehensive index method can objectively evaluate the level of influenza epidemic and provide suggestions for the future prevention and control of influenza in Beijing.
3.Summary of best evidence for breastfeeding guidance and management for pregnant women with gestational diabetes mellitus
Yifan KONG ; Mengyan XU ; Zhangyue JIA ; Yingying WU ; Fengcheng CAI
Chinese Journal of Modern Nursing 2024;30(5):589-596
Objective:To summarize the evidence related to the guidance and management of breastfeeding in pregnant women with gestational diabetes mellitus.Methods:UpToDate, BMJ Best Practice, CINAHL, PubMed, Cochrane Library, Embase, Wanfang database, China National Knowledge Infrastructure, and other databases and professional websites were searched by computer for evidence on breastfeeding guidance and management for pregnant women with gestational diabetes mellitus, including clinical decisions, guidelines, evidence summaries, systematic reviews, expert consensus and randomized controlled trials. The search period was from database establishment to April 1, 2023. Two researchers independently conducted literature quality evaluation, evidence extraction, and integration.Results:A total of 23 articles were included, including 4 clinical decision-making articles, 4 guidelines, 4 evidence summaries, 6 systematic reviews, 1 expert consensus and 4 randomized controlled trials. A total of 21 best pieces of evidence were summarized from six aspects of support and education, knowledge and skills, safety issues, feeding issues, dietary care, and blood glucose monitoring.Conclusions:This study summarizes the best evidence on breastfeeding guidance and management for pregnant women with gestational diabetes and suggests that the medical staff should apply the proof according to the clinical situation and the patient's wish.
4.Ultrasonography in Differential Diagnosis of Different Types of Non-Puerperal Mastitis and Analysis of Sonographic Features
Qing MA ; Yangyang ZHU ; Yingying JIA ; Zhendong LI ; Furong WANG ; Fang NIE
Chinese Journal of Medical Imaging 2024;32(5):468-472
Purpose To explore the value of ultrasonography in distinguishing periductal mastitis(PDM)from granulomatous lobular mastitis(GLM)and summarize the sonographic features of non-puerperal mastitis(NPM).Materials and Methods The ultrasonographic findings of 134 NPM(84 PDM,50 GLM)patients treated in the Second Hospital of Lanzhou University from July 2016 to June 2021 were retrospectively analyzed.Comparing PDM and GLM sonograms,the difference of lesion number,lesion side,lesion orientation,distance from the nipple,long diameter,thick diameter,aspect ratio,boundary,edge,edge,shape,internal echo,peripheral high echo halo,rear echo,calcification,internal blood flow,ipsilateral axillary lymph node enlargement,and summarize the characteristics of NPM according to the lesion morphology and internal echo.Results There was no statistical difference between PDM and GLM(P>0.05).But the probability of PDM combined with ipsilateral axillary lymph node enlargement was slightly higher than that of GLM(x2=4.209,P=0.040).The ultrasonography of 134 cases of NPM lesions was divided into 7 types according to the morphology and echo changes.The abscess type was more common in GLM than in PDM(x2=4.928,P=0.026).Conclusion There is no significant difference between PDM and GLM.In the case that PDM and GLM cannot be distinguished clinically and radiologically,it is recommended to perform puncture biopsy to determine the pathological type before treatment,which may be more conducive to obtaining the best prognosis for patients.In addition,the classification of NPM into 7 types is helpful for sonographers to grasp the ultrasonographic characteristics of NPM to diagnose NPM early.
5.A qualitative study on the dyad coping experience of stress in pregnant women with undifferentiated connective tissue disease and their spouses
Fuying TAO ; Haoxin LIU ; Ruizhe JIA ; Lan WU ; Dongying FU ; Wenqing ZHOU ; Yingying TIAN
Chinese Journal of Nursing 2024;59(22):2760-2765
Objective To explore the dyad coping experience of stress in pregnant women with undifferentiated connective tissue disease and their spouses,providing a basis for developing dyadic coping intervention measures.Methods By purposive sampling,15 pairs of pregnant women and their spouses who visited the outpatient clinic for pregnancy complicated with immune diseases in a matemity hospital in Jiangsu Province from April to August 2023 were selected as the research subjects for semi-structured interviews.Content analysis was conducted using the Colaizzi 7-step method,and an interview outline and integrated themes were developed based on the Developmental Contextual Coping Model.Results 3 themes(coexistence of positive and negative stress experiences;diverse approaches to dyadic coping with stress;growth and challenges following stress adaptation)and 11 subthemes were identified.Conclusion Healthcare professionals should attach importance to the stress coping issues of pregnant women with undifferentiated connective tissue disease and their spouses,take measures to regulate the negative emotions of couples,ensure multi-faceted support,help the couple adopt positive coping strategies,and promote good stress adaptation.
6.Study on diffuse cystic lung disease based on deep learning
Jia XIANG ; Qiantong CHEN ; Yingxin LU ; Sijie ZHENG ; Junjie HUANG ; Yingying CHEN ; Suidan HUANG ; Huai CHEN
The Journal of Practical Medicine 2024;40(19):2747-2754
Objective To develop deep learning-based auxiliary diagnostic models for diverse pulmonary diffuse cystic diseases,and subsequently evaluate their classification performance to identify the optimal model for clinical diagnosis.Methods A total of 288 patients diagnosed with idiopathic pulmonary fibrosis(IPF),pulmonary lymphangioleiomyomatosis(PLAM),and pulmonary Langerhans cell histiocytosis(PLCH)were prospectively enrolled from the First Affiliated Hospital of Guangzhou Medical University between January 2010 and October 2022,comprising 76 cases of IPF,179 cases of PLAM,and 33 cases of PLCH.A total of 877 CT cases were collected,comprising 232 cases of IPF,557 cases of PLAM,and 88 cases of pulmonary PLCH.Based on the cutoff date of December 31,2019,the CT scans were divided into two datasets:dataset A consisted of 500 CT scans including 185 IPF cases,265 PLAM cases,and 50 PLCH cases;while dataset B comprised 377 CT scans with a distribution of 47 IPFcases,292 PLAMcases,and 38 PLCH cases.The Dataset A was randomly partitioned into training set,validation set,and test set in a ratio of 7∶1∶2.Subsequently,six distinct deep learning neural networks were employed for training after preprocessing and data augmentation.Receiver operating characteristic curves were generated to assess the model performance using metrics such as area under the curve(AUC),accuracy,sensitivity,specificity,and F1 score in order to identify the optimal model.Furthermore,a test set B comprising 30 randomly selected cases from dataset B for each disease type was utilized to evaluate the trained optimal model by employing the same aforementioned metrics.Results In test A,six well-established diagnostic models demonstrated superior classification performance for IPF and LAM,with an AUC greater than 0.9.For LCH,EfficientNet exhibited low classification efficiency with an AUC between 0.6 and 0.7,while Vgg11 showed an AUC between 0.8 and 0.9;the other four models displayed excellent classification efficiency with an AUC greater than 0.9.Except for Inception V3,the remaining five diagnostic models performed poorly in identifying and classifying LCH lesions.Considering multiple indicators,the InceptionV3 model showcased optimal comprehensive performance among the six models,achieving high evaluation parameters such as overall accuracy(94.90%),precision(93.49%),recall(90.84%),and specificity(96.91%).TestB was conducted using the trained InceptionV3 model resulting in an accuracy of 81%,precision of 82%,recall of 81%,and specificity of 90%.Conclusions Six recognition and classification models,developed using deep learning technology in conjunction with pulmonary CT images,demonstrate effective discrimination between LAM,LCH,and IPF.Notably,the model constructed utilizing the InceptionV3 neural network exhibits superior efficiency in accurately recognizing and classifying IPF and LAM.
7.Effects of ropivacaine in serratus anterior plane block on analgesia, oxygen metabolism and postoperative cognitive function in patients undergoing radical mastectomy
Dazhi ZHANG ; Yingying LEI ; Jianzhang JIA
Chinese Journal of Endocrine Surgery 2024;18(5):665-669
Objective:To explore the effects of ropivacaine ultrasound-guided serratus anterior plane block anesthesia on analgesia, oxygen metabolism and postoperative cognitive function in patients undergoing radical mastectomy.Methods:The study subjects were 110 patients with breast cancer treated in hospital from Sep. 2020 to Dec. 2023. They were divided into the control group ( n=55, general anesthesia) and the study group ( n=55, general anesthesia + ultrasound-guided serratus anterior plane block anesthesia) by random odd-even criteria. The analgesic effect, the level of oxygen metabolism index before and after operation, postoperative cognitive function and the occurrence of adverse reactions were compared. Results:The intraoperative dosage of sufentanil, remifentanil and propofol, and the number of analgesic pump compression within 48h in the study group were lower [ (241.82±19.82) μg, (581.42±52.77) mg, (107.22±9.81) μg, (3.47±1.02) times vs. (271.22±24.87) μg, (638.91±63.79) mg, (121.48±10.84) μg, (5.81±1.35) ], and the first time of postoperative analgesia pump was higher [ (7.59±1.44) h vs. (5.05±1.24) h], with statistically significant differences ( t=6.86, 5.15, 7.23, 10.26, 9.80; P<0.05). The visual analog scores in the study group were lower at 1h, 4h and 8h after surgery [ (1.11±0.25) points, (1.89±0.54) points, (1.65±0.45) points vs. (2.17±0.49) points, (2.68±0.64) points, (2.33±0.64) points], with statistically significant differences ( t=14.29, 7.00, 6.45, P<0.05). The difference of arterial-carotid vein oxygen content between the time of the beginning of operation and 1h after surgery in the study group was lower [ (37.22±2.22) ng/L, (34.89±1.86) ng/L vs. (42.77±2.05) ng/L, (42.77±2.05) ng/L], while carotid venous blood oxygen content and cerebral oxygen uptake rate were higher [ (94.32±2.78) ng/L, (97.39±2.64) ng/L, (37.26±2.31) %, (44.76±2.54) % vs. (81.82±1.35) ng/L, (89.53±2.04) ng/L, (42.86±2.06) %, (47.58±2.15) %], with statistically significant differences ( timmediately after the surgery =6.81, 8.12, 10.26, t1h after the surgery =12.54, 7.34, 10.54; P<0.05) ; The cognitive function scores in the study group at 1 and 7 days after surgery were higher [ (24.78±2.59) points, (26.35±1.84) points vs. (20.36±2.14) points, (24.66±1.57) points], with statistically significant differences ( t=9.76, 5.18, P<0.05). The incidence of adverse reactions was 5.46% in the study group and 18.18% in the control group, and the difference was statistically significant ( χ2 value=4.27, P<0.05) . Conclusion:Ropivacaine ultrasound-guided serratus anterior plane block anesthesia can improve the analgesic effect of breast cancer patients, ensure the balance of oxygen metabolism in brain tissue, and reduce the cognitive function damage of patients, and has excellent clinical application value.
8.Meta-synthesis of qualitative studies on home management needs of patients with spinal cord injury
Yanyu FANG ; Qin JIA ; Yaqin DAI ; Ke LI ; Siqi LI ; Yingying WANG ; Jiayun WU ; Yufei CHAI ; Chu GAO ; Mengyuan YE ; Xiaoyan YI
Chinese Journal of Modern Nursing 2024;30(26):3519-3527
Objective:To systematically evaluate and Meta-synthesize qualitative studies on the home management needs of patients with spinal cord injury (SCI) to understand their actual self-management needs and improve the quality of home management for patients with SCI in China.Methods:A comprehensive search was conducted in databases including CNKI, Wanfang, CBM, PubMed, Embase, Web of Science, CINAHL, and Cochrane Library for qualitative research on the home management needs of patients with SCI, with a search timeframe up to November 30, 2023. The methodological quality of the included studies was evaluated using the Joanna Briggs Institute (JBI) Qualitative Assessment and Review Instrument (2016). Results were integrated and analyzed using Meta-synthesize methods.Results:A total of 15 studies were included, from which 58 distinct research findings were extracted. These were categorized into 10 new categories, which were further integrated into four main results: the need for positive emotional support, daily living-related needs, healthcare service needs, and social support needs.Conclusions:Healthcare providers should deeply understand the home management needs of patients with SCI. Utilizing artificial intelligence technology, an integrated support model encompassing hospital, home, and society can be constructed. Establishing a comprehensive home rehabilitation platform for patients with SCI can focus on psychological issues and enhance social support levels, thereby improving patients' quality of life.
9.Experience of patients with spinal cord injury returning to society after discharge: a Meta-synthesis of qualitative studies
Yingying WANG ; Qin JIA ; Yaqin DAI ; Jiayun WU ; Yufei CHAI ; Chu GAO ; Mengyuan YE ; Ke LI ; Xiaoyan YI
Chinese Journal of Modern Nursing 2024;30(26):3528-3534
Objective:To integrate qualitative research on the real experience of patients with spinal cord injury (SCI) returning to society after discharge, so as to provide a basis for developing transitional care intervention program, and promote patients' reintegration into society.Methods:Qualitative research on the real experience of patients with SCI returning to society after discharge was electronically retrieved on China National Knowledge Infrastructure, WanFang Data, VIP, China Biomedical Literature Service System, Cochrane Library, PubMed, Embase, Web of Science, CINAHL, and so on .The search period was from database establishment to August 30, 2023. The quality evaluation criteria for qualitative research of the JBI Evidence-Based Health Care Center (2016) was used to assess the quality of literature, and Meta-synthesis was used to integrate the results.Results:A total of 16 articles were included, and 51 research results were extracted. Similar research results were summarized and combined to form 12 new categories, which were then synthesized into four integrated results, including experiencing physical and mental discomfort following discharge, facing challenges in reintegrating into society, seeking social support, and adapting to social life through self-adjustment role changes.Conclusions:Patients with SCI have multiple psychological experiences in the process of reintegration into society. Medical and nursing staff should attach importance to their inner needs, help them overcome stress and challenges, provide them with personalized continuous care, and promote their role adaptation and reintegration into society.
10.Prognostic prediction model for Chinese patients with chronic heart failure: A systematic review
Yingying JIA ; Huanting HU ; Jingni HU ; Min YOU ; Tianman YUAN ; Jianping SONG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2024;31(11):1645-1654
Objective To systematically evaluate the prognostic prediction model for chronic heart failure patients in China, and provide reference for the construction, application, and promotion of related prognostic prediction models. Methods A comprehensive search was conducted on the studies related to prognostic prediction model for Chinese patients with chronic heart failure published in The Cochrane Library, PubMed, EMbase, Web of Science, CNKI, VIP, Wanfang, and the China Biological Medicine databases from inception to March 31, 2023. Two researchers strictly followed the inclusion and exclusion criteria to independently screen literature and extract data, and used the prediction model risk of bias assessment tool (PROBAST) to evaluate the quality of the models. Results A total of 25 studies were enrolled, including 123 prognostic prediction models for chronic heart failure patients. The area under the receiver operating characteristic curve (AUC) of the models ranged from 0.690 to 0.959. Twenty-two studies mostly used random splitting and Bootstrap for internal model validation, with an AUC range of 0.620-0.932. Seven studies conducted external validation of the model, with an AUC range of 0.720-0.874. The overall bias risk of all models was high, and the overall applicability was low. The main predictive factors included in the models were the N-terminal pro-brain natriuretic peptide, age, left ventricular ejection fraction, New York Heart Association heart function grading, and body mass index. Conclusion The quality of modeling methodology for predicting the prognosis of chronic heart failure patients in China is poor, and the predictive performance of different models varies greatly. For developed models, external validation and clinical application research should be vigorously carried out. For model development research, it is necessary to comprehensively consider various predictive factors related to disease prognosis before modeling. During modeling, large sample and prospective studies should be conducted strictly in accordance with the PROBAST standard, and the research results should be comprehensively reported using multivariate prediction model reporting guidelines to develop high-quality predictive models with strong scalability.

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