OBJECTIVE: To observe the effects of acupoint catgut embedding (ACE) on gut microbiota and fecal short-chain fatty acids (SCFAs) levels in patients with Parkinson's disease (PD) with constipation. METHODS: A total of 80 PD patients with constipation were randomly divided into an observation group and a control group, 40 cases in each group. Additionally, 40 healthy individuals were recruited as a healthy control group. The control group received conventional Western medical treatment for PD combined with polyethylene glycol (PEG), once daily for eight weeks. The observation group received additional ACE treatment at bilateral Tianshu (ST25), Zusanli (ST36), and Shangjuxu (ST37), once every two weeks for eight weeks. The healthy control group received no intervention. The spontaneous bowel movements (SBMs) per week and patient assessment of constipation quality of life (PAC-QOL) scores were assessed at baseline and after treatment in the two groups. Fecal samples were collected at the end of treatment for the observation and the control groups and at baseline for the healthy control group. Gut microbiota composition and diversity were analyzed using 16S rRNA method, and SCFA levels were measured using high-performance liquid chromatography (HPLC). RESULTS: Compared before treatment, the observation group showed a significant increase in SBMs (P<0.01), and PAC-QOL scores including physical discomfort, psychosocial discomfort, worry and concern, and total score were significantly reduced (P<0.01) after treatment; the control group also showed a reduction in PAC-QOL total score after treatment (P<0.01). After treatment, the observation group had significantly more SBMs (P<0.01), and lower PAC-QOL physical discomfort, psychosocial discomfort, worry and concern scores, and total score (P<0.01), and higher PAC-QOL satisfaction score (P<0.01) than the control group. Compared with the healthy control group, the control group showed decreased Chao1 and Ace indices (P<0.01). Compared with the healthy control group, the relative abundance of Prevotella and Roseburia was increased (P<0.05), while that of Enterobacter and Ruminococcus torques (six species in total) was decreased (P<0.05) in the control group. Compared with the control group, the observation group had increased relative abundance of Dialister, Parabacteroides, and Ruminococcus torques (P<0.05), and decreased relative abundance of Prevotella and Eubacterium ruminantium (P<0.05). Compared with the healthy control group, the control group had increased fecal SCFA levels (P<0.05); compared with the control group, the observation group had reduced fecal SCFA levels (P<0.05). Compared with the healthy control group, acetic acid, propionic acid, and butyric acid levels were elevated in the control group (P<0.05); compared with the control group, acetic acid, propionic acid, and butyric acid levels were decreased in the observation group (P<0.05). CONCLUSION ACE could increase spontaneous bowel movements and improve the quality of life in PD patients with constipation, which may be related to the regulation of gut microbiota composition and SCFA levels.
Humans ; Constipation/metabolism* ; Male ; Gastrointestinal Microbiome ; Acupuncture Points ; Female ; Middle Aged ; Parkinson Disease/complications* ; Aged ; Fatty Acids, Volatile/metabolism* ; Catgut ; Feces/microbiology* ; Acupuncture Therapy ; Quality of Life ; Adult

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

[This corrects the article DOI: 10.1016/j.apsb.2024.09.010.].

Abstract Brain Breaks is a physical activity program that combines cultural classroom based physical activity with modern technology while providing children with multi level guidance. As an intervention for intermittent sedentary activities, Brain Breaks can improve students physical activity level, thereby improving their physical fitness and positively affecting their motivation to participate in physical activities and positive learning behaviors. The paper understands this intervention from the connotation, implementation basis, and application effect of Brain Breaks, and then proposes practical application suggestions and future research directions.When Brain Breaks in the cultural classroom is promoted and practiced in China in the future, attention should be paid to the means of implementation by the teachers, the selection of representative target groups, and the precise implementation plan.At the research level, the effects of motor skills, special group interventions, gender differences, environmental changes, and physiological mechanisms of the Brain Breaks are to be explored.

The occurrence of benign prostate hyperplasia(BPH)was related to disrupted sex steroid hormones,and metformin(Met)had a clinical response to sex steroid hormone-related gynaecological disease.How-ever,whether Met exerts an antiproliferative effect on BPH via sex steroid hormones remains unclear.Here,our clinical study showed that along with prostatic epithelial cell(PEC)proliferation,sex steroid hormones were dysregulated in the serum and prostate of BPH patients.As the major contributor to dysregulated sex steroid hormones,elevated dihydrotestosterone(DHT)had a significant positive rela-tionship with the clinical characteristics of BPH patients.Activation of adenosine 5'-monophosphate(AMP)-activated protein kinase(AMPK)by Met restored dysregulated sex steroid hormone homeostasis and exerted antiproliferative effects against DHT-induced proliferation by inhibiting the formation of androgen receptor(AR)-mediated Yes-associated protein(YAP1)-TEA domain transcription factor(TEAD4)heterodimers.Met's anti-proliferative effects were blocked by AMPK inhibitor or YAP1 over-expression in DHT-cultured BPH-1 cells.Our findings indicated that Met would be a promising clinical therapeutic approach for BPH by inhibiting dysregulated steroid hormone-induced PEC proliferation.

Ankylosing spondylitis (AS) combined with lower cervical fracture is often categorized into unstable fracture, with a high incidence of neurological injury and a high rate of disability and morbidity. As factors such as shoulder occlusion may affect the accuracy of X-ray imaging diagnosis, it is often easily misdiagnosed at the primary diagnosis. Non-operative treatment has complications such as bone nonunion and the possibility of secondary neurological damage, while the timing, access and choice of surgical treatment are still controversial. Currently, there are no clinical practice guidelines for the treatment of AS combined with lower cervical fracture with or without dislocation. To this end, the Spinal Trauma Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate Clinical guidelines for the treatment of ankylosing spondylitis combined with lower cervical fracture in adults ( version 2024) in accordance with the principles of evidence-based medicine, scientificity and practicality, in which 11 recommendations were put forward in terms of the diagnosis, imaging evaluation, typing and treatment, etc, to provide guidance for the diagnosis and treatment of AS combined with lower cervical fracture.

Objective To evaluate the risk of bias and reporting quality in randomized controlled trials(RCTs)of the Chinese medicine injection for acute cerebral infarction in the last five years.Methods RCTs literature on Chinese medicine injection in the treatment of acute cerebral infarction was systematically searched in CNKI,Wanfang Data,VIP,China Biology Medicine Database(CBM),PubMed,Embase and Cochrane Library from April 20,2018 to April 20,2023.The risk of bias and reporting quality of included RCTs were evaluated using the Cochrane Risk of Bias Tool(ROB 1.0)and CONSORT-CHM Formulas 2017,respectively.Results A total of 4 301 articles were retrieved,and 408 RCTs were included according to inclusion and exclusion criteria.The ROB evaluation results showed that the the majority of studies were rated as having an unclear risk of bias due to the lack of reporting on allocation concealment,blind method,trial registration information,and funding sources.The evaluation results of CONSORT-CHM Formulas 2017 showed that the number of reported papers of 17 items was greater than or equal to 50%,and the number of reported papers of 25 items was less than 10%,and most of the RCTs did not show the characteristics of TCM syndrome differentiation and treatment.Conclusion The quality of Chinese medicine injection in the treatment of acute cerebral infarction RCTs is generally low.It is recommended that researchers refer to the methodology design of RCTs and international reporting standards,improve the trial design,standardize the trial report,and highlight the characteristics of TCM syndrome differentiation and treatment.

Objective:To evaluate the relationship between prognostic nutritional index (PNI) and risk of functional dependence in patients receiving maintenance hemodialysis (MHD).Methods:It was a cross-sectional survey study. The clinical data of MHD patients in the Second Affiliated Hospital of Soochow University from June to December 2023 were collected. The Katz and Lawton-Brody questionnaires were used to assess the functional status. The patients were divided into normal functional status group and functional dependence group, and the differences of the clinical data between the two groups were compared. Serum albumin and lymphocytes were used to determine PNI, and the patients were divided into four subgroups: Q1 group (PNI≤44.3), Q2 group (44.349.8) according to the quartile of PNI. Logistic regression analysis method was used to analyze the relationship between PNI and risk of functional dependence in MHD patients, and subgroup analysis was conducted. The receiver-operating characteristic (ROC) curve was used to assess the efficacy of PNI, serum albumin, and lymphocytes in predicting the risk of functional dependence in MHD patients.Results:A total of 206 MHD patients were included in this study, with age of (58.35±0.98) years old, and 132 (64.1%) males. There were 58 (28.2%) patients with diabetes, 179 (86.9%) patients with hypertension, and 36 (17.5%) patients with cardiovascular diseases. There were 95 (46.1%) patients developing functional dependence. Compared with normal functional status group, functional dependence group had higher age ( t=-6.87, P<0.001), proportion of diabetes ( χ2=6.58, P=0.010), and pulse pressure ( t=-3.17, P=0.002), and lower diastolic pressure ( t=3.88, P<0.001), serum creatinine ( t=3.44, P=0.001), serum albumin ( t=4.09, P<0.001) and PNI ( t=3.92, P<0.001). The incidence of functional dependence in PNI Q1 group (69.2%, 36/52) was significantly higher than those in Q2 group (49.0%, 25/51), Q3 group (34.0%, 18/53) and Q4 group (32.0%, 16/50), and the differences among groups were statistically significant (all P<0.05). Logistic regression analysis showed that after adjusting for confounding factors: age, diabetes, pulse pressure, and serum creatinine, the risk of functional dependence of PNI Q1 group was 3.217 folds higher than that in Q4 group ( OR=3.217, 95% CI 1.229-8.422, P=0.017). The risk probability model of PNI predicting the occurrence of functional dependence in MHD patients: logit (odds)=5.854-0.128 3×PNI. The area under the ROC curve ( AUC) for PNI predicting the risk of functional dependence in MHD patients was 0.66 (95% CI 0.58-0.73, P<0.001), slightly higher than that of serum albumin ( AUC=0.64, 95% CI 0.54-0.73, P<0.001). The optimal cutoff value of PNI predicting the occurrence of functional dependence was 46.15, with sensitivity of 72.07% and specificity of 57.89%. Conclusion:Low PNI is associated with high risk of functional dependence in MHD patients.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective:To establish and validate a gallstones classification method based on deep learning.Methods:A total of 618 gallstones samples were collected from East Hospital Affiliated to Tongji University, and 1 023 high-definition cross-sectional gallstones profile images were captured to construct a cross-sectional gallstones profile image dataset. Based on the traditional eight-category gallstones classification method, a lightweight network model, MobileNet V3, was trained using deep learning and transfer learning methods. The classification performance of MobileNet was evaluated using a confusion matrix with metrics such as accuracy rate, precision rate, F1 score, and recall rate. The MobileNet V3 was improved and further validated using accuracy and loss values.Results:The accuracy rate (94.17%), precision rate (94.03%), F1 score (92.96%) and recall rate (92.99%) of the improved MobileNet V3 model were better than other networks. The improved MobileNet V3 model achieved the highest accuracy rate (94.17%) in gallstones profile classification and was validated by the test set. The confusion matrix showed a weighted average of accuracy rate (92.0%), precision rate (92.6%), and F1 score (92.2%) for each category of gallstones.Conclusions:Based on deep learning, a high-accuracy gallstones classification method is proposed, which provides a new idea for the intelligent identification of gallstones.