Menstrual migraine is a specific subtype of migraine unique to women,closely related to the menstrual cycle,characterized by periodic and intractable headaches,often accompanied by nausea,vomiting or photophobia and phonophobia,which seriously affects life and has a high degree of disability.Its pathogenesis is complex,involving multi-dimensional regulation such as estrogen fluctuations,neurovascular responses and genetic and environmental factors,but the specific mechanism has not been fully clarified.In recent years,with the increasing social attention to women's health,the clinical research demand for menstrual migraine has become increasingly urgent.Currently,modern medicine can alleviate symptoms through acute drug intervention(such as non-steroidal anti-inflammatory drugs,triptans)and preventive treatment(such as beta-blockers,CGRP antagonists),but there are problems such as drug dependence and insufficient individualization.Traditional Chinese medicine,based on the"holistic concept"and"syndrome differentiation and treatment"theory,regulates the balance of qi,blood,yin and yang through therapies such as traditional Chinese medicine and acupuncture,showing unique advantages in improving symptoms and preventing recurrence.The combination of traditional Chinese and Western medicine can optimize the therapeutic effect and reduce side effects through synergistic effects,but the full-cycle prevention and treatment strategy still needs further exploration.This article systematically reviews the pathogenesis and research progress of treatment of menstrual migraine in traditional Chinese and Western medicine,emphasizes the interaction between hormone fluctuations and neurovascular responses,and proposes an individualized intervention plan based on the menstrual cycle,providing new ideas for clinical practice and reference directions for future research.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

Menstrual migraine is a specific subtype of migraine unique to women,closely related to the menstrual cycle,characterized by periodic and intractable headaches,often accompanied by nausea,vomiting or photophobia and phonophobia,which seriously affects life and has a high degree of disability.Its pathogenesis is complex,involving multi-dimensional regulation such as estrogen fluctuations,neurovascular responses and genetic and environmental factors,but the specific mechanism has not been fully clarified.In recent years,with the increasing social attention to women's health,the clinical research demand for menstrual migraine has become increasingly urgent.Currently,modern medicine can alleviate symptoms through acute drug intervention(such as non-steroidal anti-inflammatory drugs,triptans)and preventive treatment(such as beta-blockers,CGRP antagonists),but there are problems such as drug dependence and insufficient individualization.Traditional Chinese medicine,based on the"holistic concept"and"syndrome differentiation and treatment"theory,regulates the balance of qi,blood,yin and yang through therapies such as traditional Chinese medicine and acupuncture,showing unique advantages in improving symptoms and preventing recurrence.The combination of traditional Chinese and Western medicine can optimize the therapeutic effect and reduce side effects through synergistic effects,but the full-cycle prevention and treatment strategy still needs further exploration.This article systematically reviews the pathogenesis and research progress of treatment of menstrual migraine in traditional Chinese and Western medicine,emphasizes the interaction between hormone fluctuations and neurovascular responses,and proposes an individualized intervention plan based on the menstrual cycle,providing new ideas for clinical practice and reference directions for future research.

Objective:To explore the advantages of internet-based smart healthcare for full-cycle transcatheter edge-to-edge repair (TEER) management in reducing postoperative adverse events rate, improving cardiac function, and enhancing quality of life.Methods:This retrospective study enrolled patients with mitral regurgitation who underwent transcatheter TEER at Beijing Anzhen Hospital Valve Intervention Center between June 2021 and September 2023. Patients were classified into degeneration mitral regurgitation (DMR) and functional mitral regurgitation (FMR) according to etiology, with further stratification by enrollment period into usual care group (June 2021 to October 2022) and full-cycle management group (November 2022 to September 2023). The 1-year postoperative follow-up data were collected and compared between subgroups with the same etiology. Kaplan-Meier survival curves were plotted, and log-rank tests were used to compare the differences in major endpoint event-free survival rates between the two groups. Univariate and multivariate Cox regression and logistic regression analyses were performed to evaluate the impact of the full-cycle management system on patients′ outcomes.Results:A total of 130 patients were included, aged (72.0±8.6) years, including 82 (63%) males. DMR was identified in 84 cases (40 in the usual care group and 44 in the full-cycle management group), while FMR was observed in 46 cases (27 in the usual care group and 19 in the full-cycle management group). Kaplan-Meier analysis demonstrated higher 1-year major endpoint event-free survival rates in the full-cycle management group compared to the usual care group, though the difference was not statistically significant (log-rank P>0.05). Compared to the usual care group, the full-cycle management group showed significantly higher proportions of New York Heart Association classification Ⅰ-Ⅱ patients (DMR: 67% vs. 52%, P=0.031; FMR: 68% vs. 52%, P=0.021), greater 6-minute walking distances (DMR: (346.39±70.41) m vs. (294.11±60.47) m, P=0.012; FMR: (356.60±54.68) m vs. (318.55±39.02) m, P=0.004), and superior Kansas City Cardiomyopathy Questionnaire scores (DMR: 81.50 (74.50, 85.00) points vs. 71.00 (66.00, 82.25) points, P=0.014; FMR: 83.00 (76.00, 85.00) points vs. 74.00 (70.75, 80.00) points, P=0.030). Multivariate logistic regression confirmed the full-cycle management system as an independent predictor for the above improved outcomes (all P<0.05). Conclusion:Smart healthcare-based full-cycle management improves cardiac function and quality of life in mitral regurgitation patients after TEER, demonstrating lower rates of major endpoint events compared to usual care.

Neuroscience,a cutting-edge field in interdisciplinary research,consistently draws considerable research interest,of which quantitatively probing the neurochemical dynamics is essential for brain science research.In vivoelectrochemical analysis,featuring with high sensitivity,high spatiotemporal resolution,free from transfection,and designable electrode/solution interfaces,provides important tools for in vivo neurochemicals sensing.Fast scan cyclic voltammetry combined with microelectrodes can not only enable precise detection of dopamine but also is compatible with existing neurosurgical equipment.This offers new opportunities for the clinical application of in vivo electrochemical analysis and paves new avenues for the diagnosis and treatment of neurological diseases.This review summarized recent progress of in vivo electrochemical techniques for brain neurochemistry and addressed key clinical challenges and their potential solutions.

OBJECTIVES: To evaluate the effect of colostrum oral immune therapy (COIT) on clinical outcomes in very low birth weight (VLBW) infants. METHODS: A computer-based search was conducted in databases including China National Knowledge Infrastructure, Wanfang Data, Weipu Database, Chinese Biomedical Literature Service System, PubMed, Embase, Web of Science, the Cochrane Library, and CINAHL for randomized controlled trials regarding the application of COIT in VLBW infants published from the establishment of the database to February 2024. Meta analysis was performed using RevMan 5.3 software. RESULTS: A total of 14 randomized controlled trials were included, involving 1 386 VLBW infants, with 690 in the COIT group and 696 in the control group. The results showed that COIT significantly reduced the incidence of clinical late-onset sepsis (LOS) (RR=0.75, 95%CI: 0.64-0.88, P<0.001), the incidence of blood culture-proven LOS (RR=0.72, 95%CI: 0.57-0.92, P=0.008), mortality rate (RR=0.70, 95%CI: 0.52-0.95, P=0.020), the incidence of necrotizing enterocolitis (RR=0.65, 95%CI: 0.46-0.92, P=0.020), and the incidence of feeding intolerance (RR=0.49, 95%CI: 0.29-0.80, P=0.004). It also shortened the time to achieve full enteral nutrition (MD=-2.13, 95%CI: -4.03 to -0.23, P=0.030). CONCLUSIONS COIT can reduce the incidence rates of LOS, necrotizing enterocolitis, and feeding intolerance, as well as the mortality rate, while also shortening the time to achieve full enteral nutrition in VLBW infants.
Humans ; Infant, Very Low Birth Weight ; Colostrum/immunology* ; Infant, Newborn ; Sepsis/prevention & control* ; Randomized Controlled Trials as Topic ; Administration, Oral

OBJECTIVE: Traditional Chinese medicine (TCM) incorporates traditional diagnostic methods and several major treatment modalities including Chinese herbal medicine, Chinese patent medicine, and non-pharmacological methods such as acupuncture and tuina. Even though TCM is used daily by more than 70,000 healthcare facilities and over 700,000 clinical practitioners in China, there is a poor understanding of the extent to which TCM diagnostic methods are used, how different treatment modalities are deployed in general, and what major factors may affect the integration of TCM and Western medicine. This study aimed to fill this void in the literature. METHODS: In the 2021 National Healthcare Improvement Evaluation Survey, we included three questions gauging the perception and practices of TCM amongst physicians working in TCM-related facilities, investigating the frequency of their deployment of TCM diagnostic methods, and predominant TCM treatment methods. Our empirical analysis included descriptive statistics, intergroup chi-square analysis, and binary logistic regression to examine the association between different types of facilities and individual characteristics and TCM utilization patterns. RESULTS: A total of 7618 clinical physicians comprised our study sample. Among them, 84.27% have integrated TCM and Western medicine in their clinical practice, and 80.77% of TCM practitioners used the 4 diagnostic methods as a tool in their clinical practice. Chinese herbal medicine was the most widely utilized modality by Chinese TCM physicians (used by 88.49% of respondents), compared with the Chinese patent medicine and non-pharmacological TCM methods, which were used by 73.14%, and 69.39%, respectively. Herbal tea as an out-of-pocket health-maintenance intervention is also a notable practice, recommended by 29.43% of physicians. Significant variations exist across certain institutions, departments, and individual practitioners. CONCLUSION Given that most of the surveyed physicians integrated TCM with Western medicine in their clinical practices, the practice of "pure TCM" appears to be obsolete in China's tertiary healthcare institutions. Notably, remarkable variation exists in the use of different TCM modalities across institutions and among individuals, which might be related to and thus limited by the practitioners' experience. Future research focusing on the efficacy and safety of TCM interventions for specific diseases, the development of standardized clinical guidelines, and the enhancement of TCM education and training are called for to optimize TCM-Western medicine integration. Please cite this article as: Guo R, Zeng D, Zhao Q, Zhang XY, Zhang XK, Liu YL. How are different traditional Chinese medicine modalities deployed by clinical practitioners in China? Findings from a national survey. J Integr Med. 2025; 23(1): 36-45.
Medicine, Chinese Traditional/statistics & numerical data* ; Humans ; China ; Surveys and Questionnaires ; Female ; Male ; Physicians/statistics & numerical data* ; Practice Patterns, Physicians'/statistics & numerical data* ; Adult ; Middle Aged

Objective:To study the risk factors for combined bacterial/fungal infections in patients with severe fever with thrombocytopenia syndrome (SFTS) and to develop a novel and validated prediction model.Methods:The basic data and the results of the first laboratory examination after admission were retrospectively collected from patients diagnosed with SFTS who were hospitalized in the First Affiliated Hospital, Nanjing Medical University from January 2018 to December 2022. The patients were categorized into co-infected and non-co-infected groups according to whether they had co-infections with bacterial/fungal infections or not.Independent risk factors were screened by multivariate logistic regression analyses. A novel prediction model was constructed, and the predictive value of the model was assessed using receiver operating characteristic curve. Non-parametric tests and chi-square test were used for statistical analysis.Results:A total of 294 patients were included, and 62 cases were in the combined infection group including 39 cases of simple respiratory tract infections, 11 cases of simple bloodstream infections, four cases of simple urinary tract infections, four cases of respiratory tract combined with bloodstream infection, and four cases of respiratory tract combined with urinary tract infection. Acinetobacter baumannii was mostly found in bacterial infections, with a total of 19 strains, followed by Escherichia coli and Pseudomonas aeruginosa, both with seven strains. Aspergillus were mostly common in fungi, with a total of 16 strains which were all collected from patients with pulmonary infections. Compared with the non-co-infected group, patients in the co-infected group had longer hospital stays, with statistically significant differences ( Z=-6.18, P<0.001). The patients also had higher frequencies of bleeding symptoms, neurological symptoms, severe illness, and death, with statistically significant differences ( χ2=23.91, 16.37, 15.51 and 15.58, respectively, all P<0.001). The aspartate transaminase-to-platelet ratio index (APRI) was also higher in patients with coinfection, with a statistically significant difference ( Z=-4.64, P<0.001). Multivariate binary logistic regression showed that severe illness (odds ratio ( OR)=2.567, 95% confidence interval ( CI) 1.344 to 4.904, P=0.004), blood glucose level higher than 7.782 mmol/L ( OR=4.766, 95% CI 2.493 to 9.109, P<0.001), procalcitonin level higher than 0.228 μg/L ( OR=2.487, 95% CI 1.289 to 4.799, P=0.007), and APRI value higher than 6.268 ( OR=3.032, 95% CI 1.404 to 6.548, P=0.005) were the independent risk factors for co-infections in SFTS patients. Disease severity, blood glucose, procalcitonin, and APRI were combined to construct a novel predictive model: Infect-risk score=-3.331+ 0.654×severity (severe=1, non-severe=0)+ 0.160×blood glucose+ 0.066×procalcitonin+ 0.013×APRI. The AUC for this score was 0.764 (95% CI 0.698 to 0.830, P<0.001), with Youden index of 0.416, sensitivity of 0.839, and specificity of 0.578. Conclusions:Severe illness, blood glucose levels higher than 7.782 mmol/L, procalcitonin levels above 0.228 μg/L, and APRI values above 6.268 are independent risk factors for bacterial/fungal coinfection in SFTS patients. The constructed Infect-risk score model has good predictive value for bacterial/fungal coinfection in SFTS patients.

Objective To investigate the factors influencing global longitudinal strain(GLS)measured by cardiac magnetic resonance(CMR)in patients with acute ST-segment elevation myocardial infarction(STEMI).Methods Clinical data of 315 hospitalized patients diagnosed with acute STEMI who underwent percutaneous coronary intervention(PCI)at the First Medical Center of Chinese PLA General Hospital from June 2016 to September 2021 were retrospectively collected.After analyzing CMR images of all patients,GLS and other strain parameters were obtained,and then the patients were divided into two groups according to the median GLS.In order to balance gender and age differences,1:1 propensity score matching was performed,and 206 patients were eventually included:GLS>-11.3%group(indicating severe GLS impairment,n=103)and GLS≤-11.3%group(n=103).Baseline characteristics,laboratory indicators,coronary angiographic parameters,electrocardiogram(ECG)features,and CMR parameters were compared between the two groups.Variables showing significant differences were analyzed for their correlation with GLS.Multivariate logistic regression and multiple stepwise linear regression analyses were performed to identify factors associated with GLS impairment.Results Compared with GLS≤-11.3%group,GLS>-11.3%group had significantly higher peak levels of creatine kinase-MB(CK-MB)and troponin T(TnT)(P<0.001).A higher proportion of patients in GLS>-11.3%group had the left anterior descending artery(LAD)as the culprit vessel,while a lower proportion had the right coronary artery(RCA)as the culprit vessel(P<0.001).Additionally,GLS>-11.3%group had longer QRS duration(P<0.001)and a higher incidence of pathological Q waves(P=0.001).Regarding CMR parameters,GLS>-11.3%group exhibited larger global circumferential strain(GCS),infarct size(IS),and left ventricular end-systolic volume(LVESV),as well as lower global radial strain(GRS)and left ventricular ejection fraction(LVEF)(P<0.001).Multivariate logistic regression indicated that peak TnT(OR=1.092,P=0.001),LAD culprit vessel(OR=3.744,P<0.001),and QRS duration(OR=1.026,P<0.001)were significantly associated with severely impaired GLS.Multiple stepwise linear regression analysis showed that the logarithmic value of peak TnT,LAD as the culprit vessel,and the square root of QRS duration were linearly correlated with GLS values(adjusted R2=0.301,P<0.001),and these independent variables explained 30.1%of the variation in GLS.Conclusion Elevated peak TnT,prolonged QRS duration,and LAD as the culprit vessel are significantly associated with severe GLS impairment in STEMI patients,indicating more severe myocardial infarction and worse left ventricular function.