Recurrent spontaneous abortion （RSA） is a common gynecological disease during pregnancy， clinically characterized by repeated spontaneous abortions， yet its pathological mechanism remains incompletely understood. Traditional Chinese medicine attributes the pathogenesis of RSA to the deficiency of Chong Ren and the lack of fetal solidity. It has amassed experience in treating RSA， with Shoutaiwan being widely utilized for addressing miscarriage symptoms such as habitual abortion due to kidney deficiency， bleeding during pregnancy， and fetal movement. In recent years， there has been a gradual increase in experimental studies on the application of Shoutaiwan in treating RSA and on related experiments. These studies have demonstrated that Shoutaiwan preserves the fetus mainly by modulating hormone balance， alleviating immune inflammation， and enhancing blood coagulation equilibrium during pregnancy. Besides， through the modulation of key signaling pathways such as nuclear factor， erythroid 2 like 2 （Nrf2）/heme oxygenase-1 （HO-1） and Janus kinase 1 （JAK1）/signal transducer and activator of transcription （STAT）， as well as mitogen-activated protein kinase （MAPK）， Shoutaiwan has improved cellular antioxidant capacity， adjusted the phenotype of trophoblast and metaphase cells， and inhibited immune rejection， thus improving the pregnancy success rate. These findings not only elucidate the diverse biological foundations underlying Shoutaiwan's efficacy in treating RSA but also offer a scientific rationale for its clinical application and further mechanism research. Nonetheless， there remains a dearth of systematic reviews on RSA treatment with Shoutaiwan. Therefore， this review summarizes and synthesizes existing research findings to systematically analyze existing literature and studies， delving deeply into the principal pharmacological effects and associated signaling pathways of Shoutaiwan in regulating RSA. It aims to establish crucial reference points for its clinical application in RSA treatment and future experiments and research.

Objective To describe the significance of the pretreatment inflammatory indicators in predicting the prognosis of patients with esophageal squamous cell carcinoma (ESCC) after undergoing radical radiotherapy. Methods The data of 246 ESCC patients who underwent radical radiotherapy were retrospectively collected. Receiver operating characteristic (ROC) curves were drawn to determine the optimal cutoff values for platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR), and systemic immune-inflammation index (SII). The Kaplan-Meier method was used for survival analysis. We conducted univariate and multivariate analyses by using the Cox proportional risk regression model. Software R (version 4.2.0) was used to create the nomogram of prognostic factors. Results The results of the ROC curve analysis showed that the optimal cutoff values of PLR, NLR, and SII were 146.06, 2.67, and 493.97, respectively. The overall response rates were 77.6% and 64.5% in the low and high NLR groups, respectively (P<0.05). The results of the Kaplan-Meier survival analysis revealed that the prognosis of patients in the low PLR, NLR, and SII group was better than that of patients in the high PLR, NLR, and SII group (all P<0.05). The results of the multivariate Cox regression analysis showed that gender, treatment modalities, T stage, and NLR were independent factors affecting the overall survival (OS). In addition, T stage and NLR were independent factors affecting the progression-free survival (PFS) (all P<0.05). The nomogram models of OS and PFS prediction were established based on multivariate analysis. The C-index values were 0.703 and 0.668. The calibration curves showed excellent consistency between the predicted and observed OS and PFS. Conclusion The pretreatment values of PLR, NLR, and SII are correlated with the prognosis of patients with ESCC who underwent radical radiotherapy. Moreover, NLR is an independent factor affecting the OS and PFS of ESCC patients. The NLR-based nomogram model has a good predictive ability.

Objective: To evaluate the intervention effectiveness of co-occurrence and prevention for myopia and obesity among primary and secondary school students, so as to provide a scientific basis for the development of comprehensive intervention measures in myopia and obesity. Methods: From September 2022 to September 2023, a cluster random sampling method was used to select 6 primary schools and 6 junior high schools from Tongzhou District, Beijing. Participants were randomly assigned to an intervention group (914 before intervention and 754 after intervention) and a control group (868 before intervention and 652 after intervention), with an expected duration of one academic year. Based on the RE-AIM framework, integrate resources from families, schools, communities, and medical institutions to develop a school-based intervention technology packagefor the co-occurrence and prevention of myopia and obesity in children. The intervention group received intervention according to the comprehensive intervention technology package, while the control group did not receive any intervention measures. Relevant health indicators during the baseline period and after intervention were measured and collected, and groups were compared by Chi quest test, t-test and Wilcoxon rank sum test. Results: After intervention, the uncorrected visual acuity of primary and secondary school students in the intervention group (4.79±0.30) and the control group (4.77±0.33) both decreased compared to those before intervention (4.80±0.30, 4.90±0.32) ( t =-7.00,-5.24); the decrease in uncorrected visual acuity in the intervention group was smaller than that in the control group( t =5.33)( P <0.01). After intervention, body mass index, waist circumference, hip circumference, and body fat percentage of primary and secondary school students in the intervention group decreased compared to those before intervention. However, the changes in these indicators were not statistically significant ( t/Z =-0.03, - 0.36，- 0.30，- 0.01, P >0.05); the above indicators in the control group increased compared to those before intervention, but only hip circumference and body fat percentage showed statistically significant changes ( t/Z =2.17, 2.62, P <0.05). After intervention, both the intervention group and the control group showed increases in systolic and diastolic blood pressure compared to those before intervention(intervention group: t =2.16,5.29; control group: t =6.84,5.07); the intervention group had lower systolic and diastolic blood pressure than the control group( t = -5.27 , -2.08)( P <0.05). After intervention, the intervention and the control groups had statistically significant differences in cognitive accuracy(92.48%, 69.33%) in terms of "outdoor exercise can prevent myopia" and "having 5 servings of adult fist sized vegetables and fruits every day" ( χ 2=6.30, 7.86, P <0.05). There was a statistically significant difference in the proportion of primary and secondary school students in the intervention group (40.98%) and the control group (35.43%) for "who did not drink sugary drinks for every day in the past 7 days" ( χ 2=4.32, P <0.05). After intervention, the intervention group and the control group showed increases in "school outdoor activity duration on school days" and "outdoor activity duration on rest days" compared to those before intervention ( t/Z =-13.32,-9.71;- 2.59，-2.69）；the behavior rate of "visual acuity measurement frequency at least once every 3 months" in the intervention group (46.68%) and the control group (52.76%) increased compared to those before intervention (36.43%, 44.01%), and the increases in the intervention group were greater than that in the control group ( χ 2=17.52,11.08) ( P <0.05). Conclusions Comprehensive intervention measures have significant intervention effects on controlling the occurrence and development of comorbidity of myopia and obesity in children. It could actively promote collaboration and cooperation among families, schools, communities and medical institutions to reduce the occurrence of myopia and obesity among primary and secondary school students.

Attempts have been made to modulate motor sequence learning (MSL) through repetitive transcranial magnetic stimulation, targeting different sites within the sensorimotor network. However, the target with the optimum modulatory effect on neural plasticity associated with MSL remains unclarified. This study was therefore designed to compare the role of the left primary motor cortex and the left supplementary motor area proper (SMAp) in modulating MSL across different complexity levels and for both hands, as well as the associated neuroplasticity by applying intermittent theta burst stimulation together with the electroencephalogram and concurrent transcranial magnetic stimulation. Our data demonstrated the role of SMAp stimulation in modulating neural communication to support MSL, which is achieved by facilitating regional activation and orchestrating neural coupling across distributed brain regions, particularly in interhemispheric connections. These findings may have important clinical implications, particularly for motor rehabilitation in populations such as post-stroke patients.
Humans ; Transcranial Magnetic Stimulation ; Motor Cortex/physiology* ; Male ; Electroencephalography ; Neuronal Plasticity/physiology* ; Female ; Adult ; Evoked Potentials, Motor/physiology* ; Young Adult ; Learning/physiology*

Background and Aims:Minimally invasive surgery,represented by laparoscopic techniques,plays a vital role in the treatment of gastric cancer.However,postoperative infectious complications remain a key factor affecting patient recovery and prognosis.This study was performed to identify the risk factors associated with early(≤1 month)infectious complications after laparoscopic surgery for gastric cancer,providing a reference for clinical prevention strategies.Methods:A retrospective analysis was conducted on 1 572 patients who underwent laparoscopic surgery for gastric cancer at the First Affiliated Hospital of Xi'an Jiaotong University from March 2020 to February 2024.Patients were divided into infection and non-infection groups based on the occurrence of postoperative infectious complications.Univariate and multivariate Logistic regression analyses were performed to identify related risk factors.Results:Among the 1 572 patients,194 cases(12.3％)developed early postoperative infectious complications,including intra-abdominal infections(4.1％),surgical site infections(3.7％),and pulmonary infections(5.6％).Univariate analysis revealed that a history of diabetes,pulmonary disease,smoking,and preoperative anemia and hypoalbuminemia were significantly associated with postoperative infections(all P＜0.05).Multivariate analysis indicated that a history of diabetes(OR=6.927,95％CI=4.194-12.935),smoking(OR=3.079,95％CI=2.261-4.913),and preoperative albumin＜35 g/L(OR=0.572,95％CI=0.302-1.578)were independent risk factors for early postoperative infectious complications.Conclusion:A history of diabetes,smoking,and preoperative hypoalbuminemia are closely associated with the occurrence of early postoperative infectious complications after laparoscopic gastric cancer surgery.Clinical attention should be paid to perioperative metabolic,nutritional,and lifestyle management,and early intervention for high-risk patients may help reduce the incidence of complications,improve recovery,and enhance treatment outcomes.

Objective:To investigate the difference of MRI and clinicopathological characteristics between patients with breast cancer susceptibility gene (BRCA)-positive and BRCA-negative breast cancer.Methods:The study was a cross-sectional study. MRI images and clinicopathological data of breast cancer patients with postoperative pathologically confirmed and determined BRCA gene status in Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College from January 2012 to April 2021 were retrospectively analyzed. A total of 120 BRCA-positive patients with 122 lesions and 120 BRCA-negative patients with 126 lesions were enrolled. All patients underwent MRI examinations, including pre-contrast and post-contrast scans. The breast MRI features of the patients were analyzed, including internal necrosis, lesion depth, degree of background parenchymal enhancement (BPE), type of lesion, shape and margin of the mass lesion, internal enhancement, and edema. Clinicopathological analysis included family history, molecular subtype, nuclear grade, and the status of human epidermal growth factor 2 (HER-2), estrogen receptor (ER), and progesterone receptor (PR). The χ2 test and Fisher exact test were performed to determine the differences in MRI features and clinicopathological manifestations of BRCA-positive and BRCA-negative breast cancers. Significant features obtained by univariate analysis were included in the multivariate logistic regression analyses to select independent influencing factors for predicting BRCA mutation in breast cancer. Results:Statistically significant differences were observed between patients with BRCA-positive and BRCA-negative breast cancers in the following features: family history, molecular subtype, ER or PR-positive status, HER-2-negative status, nuclear grade, BPE, internal necrosis, edema, and the shape and margin of the mass lesion( P?0.05). The multivariate logistic regression analyses showed that HER-2 negativity ( OR=3.277, 95% CI 1.087-9.875, P=0.035), round or oval shape ( OR=2.688,95% CI 1.143-6.320, P=0.023), circumscribed margin ( OR=3.001,95% CI 1.374-6.554, P=0.006), edema ( OR=4.407,95% CI 2.100-9.244, P<0.001), and the minimal or mild degree of BPE ( OR=2.520,95% CI 1.328-4.782, P=0.005) were significant independent factors in predicting BRCA gene mutations. Conclusions:There are differences in MRI features and clinicopathological manifestations of BRCA-positive and BRCA-negative breast cancers. HER-2 status, the shape and margin of lesions, edema and the degree of BPE could independently predict the BRCA status of breast cancer.

Precision management of breast cancer is essential for improving patient outcomes.Radiomics enables high-throughput extraction of quantitative imaging features that reflect tumor biological behavior and heterogeneity from medical imaging data.With the rapid advancement of artificial intelligence(AI),particularly deep learning,feature extraction capability and model performance in radiomics have been significantly enhanced.Based on multimodal imaging modalities such as MRI,ultrasound and mammography,AI-and radiomics-based models can address key clinical challenges including tumor diagnosis,staging,molecular subtype prediction and therapeutic response assessment,thereby facilitating precision breast cancer care.This review summarizes recent advances in AI-driven radiomics for breast cancer diagnosis and treatment and discusses future application prospects and challenges toward clinical translation.

ObjectiveTo construct an intelligent model for literature screening， retrieval， and data extraction with a systematic review of coronary heart disease syndromes as an example， so as to improve the efficiency of evidence-based Chinese medicine research. MethodsBased on China National Knowledge Infrastructure （CNKI）， VIP and Wanfang Data Resource System， the articles related to coronary heart disease syndrome research published from January 1， 2000 to December 31， 2023 were retrieved. Automated tools were used to batch retrieve paper metadata. Using text similarity algorithms， papers were merged， deduplicated， and subjected to preliminary screening based on titles and abstracts. Further screening was performed using object detection and image processing technologies on the full texts and statistical tables. Natural language processing （NLP） techniques and pre-trained models were applied to extract information. ResultsThe initial search retrieved 56 255 coronary heart disease syndrome-related articles. By artificial intelligence-assisted preliminary and secondary screening， the manual verification scope was narrowed to 1075 articles. Ultimately， 646 coronary heart disease syndrome related studies were included manually. With accuracy verification showing over 90% consistency in semantic recognition and element decomposition processes， we achieved data extraction and standardization processing for both basic literature information and 38 syndrome element statistics. ConclusionBy incorporating natural language processing， pre-trained models， artificial intelligence image processing and other technologies， this study enabled efficient retrieval， screening and standardized data extraction of Chinese medicine research literature.

Treatment based on meridian differentiation is a characteristic method in clinical acupuncture diagnosis and treatment. Accurately defining and explaining its main content and core concepts is essential for effective clinical guidance. This paper reviews the historical and contemporary understanding, concepts, and primary content of treatment based on meridian differentiation. It proposes a four-step process for clinical application: meridian examination, treatment based on meridian differentiation, acupoint selection, and appropriate treatment methods, with TCM syndrome differentiation applied throughout. Constructing a diagnostic and treatment system which is based on meridian differentiation and suited to clinical acupuncture is significant for enhancing therapeutic efficacy and maximizing the benefits of acupuncture in disease treatment.
Humans ; Meridians ; Acupuncture Therapy/methods* ; Acupuncture Points ; Medicine, Chinese Traditional

This article reports a patient with long-term ulcerative colitis (UC) who was initially diagnosed as eosinophilic gastroenteritis due to a increase in peripheral blood eosinophils. During the diagnosis and treatment process, acute myocardial infarction was repeatedly induced. The patient was eventually diagnosed as UC complicated by amoebic infection and improved after anti-infective therapy. Through case analysis and literature review, this article discusses the diagnosis and treatment strategies for UC complicated by rare opportunistic infections.