OBJECTIVES: Stress urinary incontinence (SUI) is a common condition among women that severely impairs quality of life. Pelvic floor proprioceptive training (PFPT) has attracted increasing attention for its potential to enhance pelvic floor muscle function and alleviate SUI symptoms. This study aims to observe and compare the clinical efficacy of PFPT combined with electroacupuncture, electrical stimulation, and biofeedback therapy versus conventional therapy consisting of electroacupuncture, electrical stimulation, and biofeedback alone in women with SUI, and to explore the role of PFPT in improving symptom and functional outcomes. METHODS: In this randomized controlled trial, 72 women with mild to moderate SUI were recruited from the Department of Rehabilitation Medicine at Third Xiangya Hospital, Central South University, between December 2021 and October 2023. Participants were randomly assigned to an experimental group (n=36) or a control group (n=36). Both groups received health education. The control group underwent electroacupuncture combined with electrical stimulation and biofeedback therapy, while the experimental group additionally received PFPT 3 times per week for 4 weeks. The primary outcome was assessed using the International Consultation on Incontinence Questionnaire-Short Form (ICIQ-SF). Secondary outcomes included pelvic floor muscle strength, bladder neck mobility, and balance ability. The ICIQ-SF was reassessed at 1, 3, 6, and 12 months post-treatment. RESULTS: Both groups showed statistically significant improvements in all parameters after treatment (all P<0.05). However, there were no statistically significant differences between groups in most measures (all P>0.05). The experimental group demonstrated longer single-leg stance duration with eyes closed than the control group (left leg: P=0.026; right leg: P=0.006), with a significant increase from baseline (P<0.001). At 6 months post-treatment, the cure rate in the experimental group was significantly higher than that in the control group (P=0.037). CONCLUSIONS Conventional therapy effectively improves SUI symptoms, but adding PFPT provides notable additional benefits, including enhanced balance ability and sustained mid-term cure rates. These findings suggest that PFPT is a valuable adjunct to standard SUI management strategies.
Humans ; Female ; Urinary Incontinence, Stress/physiopathology* ; Pelvic Floor/physiopathology* ; Middle Aged ; Biofeedback, Psychology ; Adult ; Exercise Therapy/methods* ; Proprioception ; Electroacupuncture/methods* ; Quality of Life ; Electric Stimulation Therapy/methods* ; Treatment Outcome ; Combined Modality Therapy

Objective To investigate the predictive value of serum lactate dehydrogenase(LDH)level com-bined with high-throughput sequencing in children with severe Mycoplasma pneumoniae pneumonia(SMPP).Methods The clinical data of 99 children with Mycoplasma pneumoniae pneumonia(MPP)admitted to Hua-zhong University of Science and Technology Union Hospital from October 2023 to March 2024 were retro-spectively analyzed.According to the severity of the disease,the children were divided into mild group(33 ca-ses)and severe group(66 cases).Spearman correlation analysis was used for correlation analysis,Logistic re-gression was used to analyze the influencing factors of SMPP,and the receiver operating characteristic(ROC)curve was used to evaluate the value of LDH in predicting SMPP.Results The level of LDH in the severe group was higher than that in the mild group(P<0.05).The results of high-throughput sequencing showed that the proportions of virulence positive and drug resistance gene A2063G mutation in the severe group were higher than those in the mild group(P<0.05).Multivariate Logistic regression analysis showed that LDH level and drug resistance gene A2063G mutation were related to the SMPP(P<0.05).ROC curve analysis showed that LDH combined with high-throughput sequencing detection of drug resistance gene A2063G muta-tion had a high value in predicting SMPP,and the area under the curve was 0.724.Conclusion Serum LDH combined with high-throughput sequencing detection of drug resistance gene A2063G mutation can be used as an effective indicator to predict SMPP.

Phage therapy is one of the most important tools for the treatment of infections with multi-drug resistant bacteria. Such phages are usually isolated from hospital effluents, however, no systematic study on the distribution of phages in hospital effluents has been conducted so far. The aim of this study was to isolate the corresponding phages of common pathogenic bacteria isolated in the clinic as hosts, so as to assess the ecological distribution of phages in hospital wastewater and to provide a reference for the isolation and application of phages of drug-resistant bacteria in the clinic. A cross-sectional study design was used in this study. The 125 pathogenic bacteria (belonging to 16 different strains) isolated from the clinical microbiology laboratory of Qilu Hospital of Shandong University from May to June 2023 were selected as the target strains, and the phages corresponding to these strains were isolated and purified from the hospital wastewater by using the double-layer plate sandwich method. At the same time, the distribution of pathogenic bacteria in the same batch of wastewater was analyzed with the help of mNGS sequencing technology, so as to preliminarily investigate the abundance correspondence between pathogenic bacteria and phages in wastewater. The results showed that a total of 56 phage strains were isolated from 125 clinical pathogens as hosts, corresponding to six pathogens, including Acinetobacter baumannii, Klebsiella pneumoniae, Escherichia coli, Staphylococcus aureus, Pseudomonas aeruginosa, and Stenotrophomonas maltophilia. All six pathogenic bacteria contained strains with different degrees of drug resistance, with a higher percentage of multi-drug resistant strains in A. baumannii, Escherichia coli and P. aeruginosa. The phage acquisition rates of these six pathogens were, in descending order, Escherichia coli (80%), Stenotrophomonas maltophilia (75%), Pseudomonas aeruginosa (70%), Klebsiella pneumoniae (66.67%), Acinetobacter baumannii (36.36%) and Staphylococcus aureus (12.5%). Preliminary mNGS sequencing results showed that the pathogenic bacteria with higher abundance in the batch of effluent were Enterococcus faecalis, Klebsiella pneumoniae, Escherichia coli, Enterococcus faecalis, Acinetobacter baumannii, Klebsiella aerogenes, Klebsiella michiganensis and Pseudomonas aeruginosa. In conclusion, phages of most common clinical Gram-negative pathogens were isolated from hospital wastewater with high isolation rates; however, phages of Gram-positive pathogens were isolated at lower rates, and only phages corresponding to Staphylococcus aureus were isolated in this study. The corresponding mNGS sequencing results showed that the distribution of Gram-negative pathogens in sewage may had a positive correlation with the ecological distribution of phages.

Objective To investigate the correlation between serum long non-coding RNA FGD5-AS1(ln-cRNA FGD5-AS1),microRNA-103a-3p(miR-103a-3p)and puerperal infection(PI)in patients with gesta-tional diabetes mellitus(GDM)in late pregnancy.Methods A total of 168 late pregnancy GDM patients who were hospitalized and delivered in the hospital from January 2022 to June 2023 were retrospectively selected as the experimental group,and the patients were separated into an infected group(96 cases)and an uninfected group(72 cases)based on whether they had PI.At the same time,120 late pregnant women who underwent prenatal examination in the hospital and had normal gestational blood glucose were selected as the control group.Real-time fluorescence quantitative PCR(qRT-PCR)was applied to detect the expression levels of ln-cRNA FGD5-AS1 and miR-103a-3p.Multivariate Logistic regression was applied to analyze the influencing factors of PI in late pregnancy GDM patients.StarBase website was applied to analyze the relationship between lncRNA FGD5-AS1 and miR-103a-3p.Pearson was applied to analyze the correlation between lncRNA FGD5-AS1 and miR-103a-3p.Receiver operating characteristic(ROC)curve was applied to evaluate the value of ln-cRNA FGD5-AS1 and miR-103a-3p in predicting the occurrence of PI.Results There was a statistically sig-nificant difference in the expression levels of serum lncRNA FGD5-AS1 and miR-103a-3p between the experi-mental group and the control group(P＜0.05),the expression level of serum lncRNA FGD5-AS1 in the infec-ted group was obviously higher than that in the uninfected group(P＜0.05),but the expression level of ser-um miR-103a-3p in the infected group was obviously lower than that in the uninfected group(P＜0.05).The expression level of lncRNA FGD5-AS1 was an independent risk factor for PI in late-pregnancy GDM patients(P＜0.05),and the expression level of miR-103a-3p was an independent protective factor for PI in late-preg-nancy GDM patients(P＜0.05).There was a negative correlation between lncRNA FGD5-AS1 and miR-103a-3p expression level(r=-0.409,P＜0.001).The efficacy of the combined detection of lncRNA FGD5-AS1 and miR-103a-3p for predicting PI in late pregnancy GDM patients was superior to that of serum lncRNA FGD5-AS1 and miR-103a-3p alone(P＜0.05).Conclusion LncRNA FGD5-AS1 is an independent risk factor for PI in late pregnancy GDM patients,while miR-103a-3p is an independent protective factor for PI in late pregnancy GDM patients.The combined detection has higher value for predicting PI in late pregnancy GDM patients.

Phage therapy is one of the most important tools for the treatment of infections with multi-drug resistant bacteria. Such phages are usually isolated from hospital effluents, however, no systematic study on the distribution of phages in hospital effluents has been conducted so far. The aim of this study was to isolate the corresponding phages of common pathogenic bacteria isolated in the clinic as hosts, so as to assess the ecological distribution of phages in hospital wastewater and to provide a reference for the isolation and application of phages of drug-resistant bacteria in the clinic. A cross-sectional study design was used in this study. The 125 pathogenic bacteria (belonging to 16 different strains) isolated from the clinical microbiology laboratory of Qilu Hospital of Shandong University from May to June 2023 were selected as the target strains, and the phages corresponding to these strains were isolated and purified from the hospital wastewater by using the double-layer plate sandwich method. At the same time, the distribution of pathogenic bacteria in the same batch of wastewater was analyzed with the help of mNGS sequencing technology, so as to preliminarily investigate the abundance correspondence between pathogenic bacteria and phages in wastewater. The results showed that a total of 56 phage strains were isolated from 125 clinical pathogens as hosts, corresponding to six pathogens, including Acinetobacter baumannii, Klebsiella pneumoniae, Escherichia coli, Staphylococcus aureus, Pseudomonas aeruginosa, and Stenotrophomonas maltophilia. All six pathogenic bacteria contained strains with different degrees of drug resistance, with a higher percentage of multi-drug resistant strains in A. baumannii, Escherichia coli and P. aeruginosa. The phage acquisition rates of these six pathogens were, in descending order, Escherichia coli (80%), Stenotrophomonas maltophilia (75%), Pseudomonas aeruginosa (70%), Klebsiella pneumoniae (66.67%), Acinetobacter baumannii (36.36%) and Staphylococcus aureus (12.5%). Preliminary mNGS sequencing results showed that the pathogenic bacteria with higher abundance in the batch of effluent were Enterococcus faecalis, Klebsiella pneumoniae, Escherichia coli, Enterococcus faecalis, Acinetobacter baumannii, Klebsiella aerogenes, Klebsiella michiganensis and Pseudomonas aeruginosa. In conclusion, phages of most common clinical Gram-negative pathogens were isolated from hospital wastewater with high isolation rates; however, phages of Gram-positive pathogens were isolated at lower rates, and only phages corresponding to Staphylococcus aureus were isolated in this study. The corresponding mNGS sequencing results showed that the distribution of Gram-negative pathogens in sewage may had a positive correlation with the ecological distribution of phages.

Objective:To explore the distribution characteristics of common clinical manifestations of elbow joint in patients with endemic fluorosis and their correlation with the influencing factors.Methods:A cross-sectional survey was conducted on all permanent adult residents in 13 endemic fluorosis villages in Gaotai and Gaolan counties of Gansu province. The survey included: ① Demographic information, family history, and current medical history. ② Physical examination specifically focued on the orthopedic clinical presentations. ③Taking DR films of the forearm (including elbow joint) and calf (including knee joint), and classify the elbow joint to grade K-L based on X-ray manifestations. ④ Measuring height and weight, and calculating BMI index. ⑤Applying the Mayo elbow joint rating scale to evaluate elbow joint function. Based on the survey results, the distribution characteristics of clinical symptoms and signs of elbow joint in patients with skeletal fluorosis, as well as the distribution characteristics and correlation of factors affecting elbow joint function such as age, gender, disease course, BMI, K-L grade, etc were described. The comparison of counting data and rates were analyzed with χ2 test or Fisher exact probability test. Pearson′s test was used for correlation analysis of continuous data that conforms to normal distribution, and Spearman test was used for non-normal distribution measurement and counting data. The correlation analysis of ordered hierarchical data was conducted using Kendall′s Tau- b test. Results:①Among 501 patients with skeletal fluorosis, a total of 465 cases (92.8%) were diagnosed with elbow joint pain. A total of 185 cases (36.9%) were with elbow joint tenderness, 300 cases (59.9%) were with elbow joint enlargement, 415 cases (82.8%) were with morning stiffness of the elbow joint, 102 cases (20.4%) were with cubital tunnel syndrome, 153 cases (30.5%) were with positive forearm extensor tendon traction test, and 97 cases (19.4%) were with positive forearm flexor tendon traction test. The detection rate of elbow joint rotation limitation was the highest among those with ROM ranging from 30 ° to 70 ° (261/501, 52.1%), and the detection rate of elbow joint extension and flexion limitation was the highest among those with ROM ranging from 50 ° to 90 °(274/501, 54.7%). ②Among 501 patients with skeletal fluorosis, a total of 465 cases were found to have symptoms and positive signs in the elbow joint, with the detection rate in males being lower than that in females, with a significant difference ( χ2=41.19, P<0.001). The majority of patients were between the ages of 50 and 65 (274/501, 58.9%), with a body mass index of <18 (217, 46.67%), K-L arthritis with a radiologic grade of Ⅲ (256/501, 55.0%), and a disease course of >30 years (217/501, 46.67%). ③The correlation between clinical characteristics, the Mayo score, and various influencing factors of skeletal fluorosis found a high correlation between pain and age ( r=0.79, P<0.001) and pain and disease course ( r=0.71, P<0.001). The ROM of extension and flexion was negatively correlated with age ( r=-0.43, P<0.001), K-L grade ( r=-0.67, P<0.001), and disease course ( r=-0.48, P<0.001); Elbow tunnel syndrome was positively correlated with age ( r=0.72, P<0.001). The Mayo functional score was negatively correlated with age ( r=-0.35, P<0.001). Conclusion:Early morning stiffness of the elbow joint (<30 min), limited rotation of the elbow joint, limited extension and flexion of the elbow joint, and cubital tunnel syndrome (degree Ⅰ) have a high detection rate in the population with skeletal fluorosis. Age, course of disease, and degree of joint degeneration have a significant impact on elbow joint function in patients with fluorosis.

Objective:To summarize the current research status, assessment tools, and influencing factors of fatigue in patients receiving maintenance hemodialysis (MHD) and provide a reference for the management of fatigue in this patient population.Methods:A literature search was conducted in databases including PubMed, Web of Science, ProQuest, Cochrane Library, Science Direct, Embase, CINAHL, China National Knowledge Infrastructure, WanFang Data, VIP, and China Biology Medicine disc for studies related to fatigue in patients receiving MHD. The search timeframe was from establishing the databases to January 23, 2024.Results:A total of 46 studies were included. Various assessment tools for fatigue in patients receiving MHD were identified, though specific tools were limited. The Short Form 36 Vitality Subscale (SF-36 VS) was the most commonly used assessment tool. The main factors influencing fatigue in these patients included sociodemographic, dialysis-related, disease-related, physical, nutritional, and psychological factors.Conclusions:Fatigue is a significant symptom in patients receiving MHD. Healthcare professionals must develop specific tools for accurately assessing fatigue in this population and explore standardized management plans.

To explore the application of humanistic care in children's fever clinics,the children's fever clinics of Guangzhou Women and Children's Medical Center conducted relevant research using narrative medicine as a guiding concept.This paper elaborated on the medical humanistic dilemmas and narrative care needs in children's fever clinics,and focused on exploring the practice paths of narrative medicine in pediatric with Chinese characteristics from five dimensions,including the cultivation of nursing staff's abilities of professional narrative and humanistic care,the establishment of health lectures featuring narrative patient education,the alleviation of medical anxiety for children and their families,related support of narrative nursing,and caring services.The aim was to improve the narrative care ability of nurses in children's fever clinics,develop methods for pediatric patients that can eliminate the fear of seeking medical treatment,and protect children's physical and mental health.A carrier of care,support,and emotional expression can be provided for parents.The foundation for nursing staff to achieve professional growth through narrative reflection can be laid.Thus,it can assist in establishing a life narrative community relationship between doctors and patients,and jointly explore the meaning of life.

Objective:To investigate the intelligence status of children aged 10 - 12 in rural areas of Linxia Hui Autonomous Prefecture (referred to as Linxia) in Gansu Province.Methods:From September to November 2019, a cross-sectional study was carried out to investigate the intelligence status of children aged 10 to 12 in 8 counties (cities) of Linxia. Chinese Raven's Progressive Matrices (rural version) was used for intelligence test and children's intelligence quotient (IQ) was calculated by regular mold to evaluate children's intelligence level.Results:A total of 1 721 children in Linxia were tested for intelligence, with an average IQ of 103.2. Among them, low intelligence (≤69) accounted for 1.0% (18/1 721), borderline (70 - 79) accounted for 3.0% (52/1 721), middle and lower (80 - 89) accounted for 8.4% (144/1 721), moderate (90 - 109) accounted for 56.6% (974/1 721), middle and upper (110 - 119) accounted for 21.9% (377/1 721), excellent (120 - 129) accounted for 7.8% (135/1 721), extremely excellent (≥130) accounted for 1.2% (21/1 721). There were 635, 598 and 488 children aged 10, 11 and 12, respectively, with an average IQ of 106.1, 103.3 and 99.2. There were 919 males and 802 females, with an average IQ of 102.9 and 103.4, respectively.Conclusion:In 2019, the intelligence of children aged 10 to 12 in rural areas of Linxia has reached the moderate level.

Trajectories refer to the motion paths followed by objects in space. Disease trajectories, which depict the evolution of disease processes over time, are significantly important for assessing diseases, formulating treatment strategies, and predicting prognosis. Critical illness is one of the leading causes of death. With advances in critical care medicine, there is increasing focus on the occurrence and development of critical illnesses. Understanding the development trajectory of critical illness is helpful to promote the early identification, intervention, and treatment of high-risk patients, avoid prolongation of the course of disease, reduce the risk of multiple organ failure, and provide important reference for the development of targeted prevention and intervention strategies, thereby reducing the incidence and mortality of critical illness. In recent years, various trajectory modeling methods have been applied to the study of critical illness. These include, but are not limited to, latent growth curve modeling (LGCM), growth mixture modeling (GMM), group-based trajectory modeling (GBTM), latent transition analysis (LTA), and latent class analysis (LCA). The aim of this article is to review the definition of disease trajectories, the methods used in trajectory modeling, and their applications and future prospects in critical illness research.