ObjectiveTo construct a risk prediction model for carotid artery plaques in high-risk populations of stroke based on five machine learning methods. MethodsThe clinical information of the high-risk population of stroke was collected. Factor analysis and statistical analysis of syndrome elements were conducted on their traditional Chinese medicine （TCM） symptoms and tongue and pulse manifestations. On the basis of the results of factor analysis and variable screening， five machine learning methods-classification and regression tree （CART） decision tree， support vector machine （SVM）， back propagation（BP） neural network， logistic regression， and random forest-were used to construct the risk prediction model for carotid artery plaques. ResultsThe most common TCM syndrome elements in the high-risk population of stroke was Qi deficiency. The scores of Qi deficiency， Yin deficiency， and Yang deficiency in the population with carotid artery plaques were higher than those without carotid artery plaques （P<0.05）. The CART decision tree， SVM， logistic regression， BP neural network， and random forest models showed the areas under the receiver operating characteristic （ROC） curves of 0.71， 0.75， 0.76， 0.76， and 0.75， the accuracy rates of 68.94%， 69.27%， 69.44%， 70.10%， and 69.60%， the precision rates of 68.56%， 68.53%， 68.75%， 69.74%， and 69.42%， the recall rates of 68.91%， 67.93%， 67.92%， 68.10%， and 67.31%， and the F₁ values of 0.69， 0.68， 0.68， 0.68， and 0.68， respectively. ConclusionAmong the high-risk population of stroke， the most frequently distributed TCM syndrome element is Qi deficiency， with the rest mainly being fire heat， Yin deficiency， Yang deficiency， phlegm dampness， blood stasis， and Qi stagnation. Deficiency syndrome may be a major factor leading to carotid artery plaques in the high-risk population of stroke. The BP neural network model demonstrates better performance in predicting the risk of carotid artery plaques in the high-risk population of stroke. People with carotid artery plaques are more likely to present with symptoms such as a heavy head， dizziness， headache， and thready pulse. The primary community benefits more widely when the BP neural network model is adopted to predict the risk of carotid artery plaques in the high-risk population of stroke over 40 years old.

ObjectiveTo construct a risk prediction model for carotid artery plaques in high-risk populations of stroke based on five machine learning methods. MethodsThe clinical information of the high-risk population of stroke was collected. Factor analysis and statistical analysis of syndrome elements were conducted on their traditional Chinese medicine （TCM） symptoms and tongue and pulse manifestations. On the basis of the results of factor analysis and variable screening， five machine learning methods-classification and regression tree （CART） decision tree， support vector machine （SVM）， back propagation（BP） neural network， logistic regression， and random forest-were used to construct the risk prediction model for carotid artery plaques. ResultsThe most common TCM syndrome elements in the high-risk population of stroke was Qi deficiency. The scores of Qi deficiency， Yin deficiency， and Yang deficiency in the population with carotid artery plaques were higher than those without carotid artery plaques （P<0.05）. The CART decision tree， SVM， logistic regression， BP neural network， and random forest models showed the areas under the receiver operating characteristic （ROC） curves of 0.71， 0.75， 0.76， 0.76， and 0.75， the accuracy rates of 68.94%， 69.27%， 69.44%， 70.10%， and 69.60%， the precision rates of 68.56%， 68.53%， 68.75%， 69.74%， and 69.42%， the recall rates of 68.91%， 67.93%， 67.92%， 68.10%， and 67.31%， and the F₁ values of 0.69， 0.68， 0.68， 0.68， and 0.68， respectively. ConclusionAmong the high-risk population of stroke， the most frequently distributed TCM syndrome element is Qi deficiency， with the rest mainly being fire heat， Yin deficiency， Yang deficiency， phlegm dampness， blood stasis， and Qi stagnation. Deficiency syndrome may be a major factor leading to carotid artery plaques in the high-risk population of stroke. The BP neural network model demonstrates better performance in predicting the risk of carotid artery plaques in the high-risk population of stroke. People with carotid artery plaques are more likely to present with symptoms such as a heavy head， dizziness， headache， and thready pulse. The primary community benefits more widely when the BP neural network model is adopted to predict the risk of carotid artery plaques in the high-risk population of stroke over 40 years old.

Objective:To investigate the clinical efficacy and safety of laser ablation and closure for the treatment of sacrococcygeal pilonidal disease (SPD) and to analyze risk factors for postoperative recurrence in male patients.Methods:A retrospective observational study was conducted to collect clinical data of 369 patients with SPD who underwent laser ablation and closure in the Anorectal Department of Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine between March 2019 and December 2024. Perioperative outcomes and postoperative recurrence were analyzed. The cohort included 313 males and 56 females, with 43 patients aged ≤18 years. The median body mass index was 26.3 (IQR: 22.9, 29.6) kg/m2, and the median disease duration was 28 months (IQR: 4, 76). Among them, 218 male SPD patients who underwent surgery received preoperative sex hormone testing. A logistic regression model was used to analyze the risk factors for recurrence.Results:All patients completed the surgery. The median intraoperative ablation energy delivered was 426.8 (IQR: 243.9, 683.9) J, with no occurrence of major intraoperative complications. Postoperatively, a total of 31 patients (8.4%) required analgesic medication. Within the first postoperative week, 12 patients experienced wound oozing/bleeding; hemostasis was achieved by compression alone in 5 cases, while the remaining 7 instances required suture hemostasis after failed compression attempts. No other complications were observed. The median postoperative hospital stay was 6 (IQR: 4, 8) days, and the median time to return to regular work and life was 7 (IQR: 5, 12) days. The wound healing rate was 100%, with a median wound healing time of 35 (IQR: 30, 42) days. Postoperative recurrence occurred in 19 patients (5.1%), all of whom were male. Multivariate logistic regression analysis identified age ≤18 years (OR = 4.764, 95%CI: 2.424-34.905, P = 0.008) and a history of previous SPD surgery (OR = 5.078, 95%CI: 1.431-18.019, P = 0.012) as independent risk factors for recurrence after SPD laser ablation and closure surgery. Conclusion:Laser ablation and closure are safe, effective, and minimally invasive treatments for SPD. However, particular attention should be paid to the risk of recurrence in young male patients and those with a history of previous SPD surgery.

BACKGROUND:3D printing technology can design and construct models,surgical guides and personalized implants or fixture according to the actual condition and treatment demand of patients,which has great application prospects in the repair of traumatic fractures.OBJECTIVE:To review the application of 3D printing technology in traumatic fractures.METHODS:Web of Science,PubMed and CNKI databases were searched for relevant literature on the application of 3D printing technology in the field of trauma orthopedics published from 2020 to 2024.Chinese and English search terms were"traumatic fracture,3D printing technology,digital model,surgical guide."Finally,60 articles were included for analysis.RESULTS AND CONCLUSION:(1)Traumatic fracture is a fracture phenomenon with interruption of bones continuity and destruction of integrity caused by various injurious factors.Improving reduction and healing effects with reliable schemes has become a hot issue that needs to be handled urgently in orthopedics related field.(2)3D printing technology is a three-dimensional entity technology to meet demands based on digital model data,in which adhesive forming materials(powdered metal or polymer),stereolithography,deposition modeling,and optical polymer spray are used,and it is widely used in the field of digital orthopedic biomedicine.(3)3D printing technology has played significant advantages in disease diagnosis,preoperative planning,reconstructing fracture 3D model,customizing orthopedic implants,customizing fixation braces and prosthetics,fabrication of surgical guide and repair of bone defects,which can design and construct models,surgical guides,and personalized implants or fixture according to the actual conditions and treatment demands of patients.It can provide new ideas for the treatment of traumatic fractures.

BACKGROUND:Ossification of the ligamentum flavum was previously considered to be rare in the population.As research has progressed,its incidence rate is increasing gradually,which has aroused the interest of a large number of researchers. OBJECTIVE:To visualize and analyze the research results on ossification of the ligamentum flavum from the Web of Science Core Collection since 1999 using bibliometric methods,and to review the research history of ossification of the ligamentum flavum,highlighting important literature,summarizing research hotspots,and providing ideas for researchers to find research directions. METHODS:Using the Web of Science Core Collection as the data source,relevant papers on ossification of the ligamentum flavum were searched and screened.VOSviewer 1.6.19 and CiteSpace 6.2.R6 were used to conduct the visual analysis of annual publication volume,research countries,institutions,citations,journals,authors,and keywords. RESULTS AND CONCLUSION:(1)A total of 347 papers were included.Since 1999,the number of published papers has increased in a spiral pattern.China's research started later than Japan's,but the number of publications has come up later,with Peking University being the institution with the most publications,and Prof.Chen Zhongqiang from Peking University being the scholar with the most publications.(2)Five of the 10 most frequently cited publications were related to the surgical treatment of the disease.(3)Excluding keywords directly related to the research topic and synthetically analyzing frequencies and betweenness centralities of key words,terms such as"thoracic myelopathy,""dural ossification,""minimally invasive surgery,"and"ossification of the posterior longitudinal ligament"occupied a central position in this field.(4)Keywords clustering analysis showed that clinical manifestations and surgical treatment of ossification of the ligamentum flavum accounted for a large proportion of study.(5)The timeline and burst analysis of keywords revealed that"minimally invasive surgery"appeared as a keyword around 2015,with the highest burst strength and the latest burst start time,and began to receive extensive attention from researchers in 2019.The burst of the keyword"dural ossification"has not yet ended.(6)Surgical treatment for ossification of the ligamentum flavum has been at the forefront of research.Development and research of minimally invasive surgery and research on dural ossification secondary to ossification of the ligamentum flavum are both current research hotspots and possible future research trends.

Objective : To develop and to validate a combined model integrating18F-FDG PET/CT radiomics with clinical features to distinguish between lymphoma and lymphoid inflammatory hyperplasia. Methods : A retrospective study was conducted on a cohort of 232 patients diagnosed with lymphoma or lymphoid inflammatory hyperplasia. Comparative analyses of clinical and traditional imaging indicators were performed to identify inter-group differences. The clinical features were delineated and extracted using medical software including 3D-Slicer and Lifex. Selection of the features was performed to construct a PET/CT-based radiomics Logistic model, with a combined model integrating PET/CT with clinical features then used to evaluate the discriminative efficacy of these models. Results: Analysis of inter-group differences indicated that age, CTmean, and metabolic tumor volume(MTV)were effective for differentiating between lymphoma and lymphoid inflammatory hyperplasia(P<0.05). The PET/CT-based radiomics Logistic model differentiated between lymphoma and lymphoid inflammatory hyperplasia, with an area under curve(AUC) of 0.924(95%CI: 0.884-0.960) and 0.863(95%CI: 0.774-0.939) in the training and testing cohorts, respectively. The integrated Logistic model that combined PET/CT-based radiomics with clinical features to distinguish between lymphoma and lymphoid inflammatory hyperplasia achieved an AUC of 0.933(95%CI: 0.889-0.969) in the training cohort and 0.884(95%CI: 0.792-0.964) in the testing cohort. Decision curve analysis(DCA) demonstrated that the integrated model provided the greatest clinical net benefit. Conclusion The hybrid model integrating18F-FDG PET/CT radiomics with clinical features shows robust diagnostic efficacy to distinguish between lymphoma and lymphoid inflammatory hyperplasia.

BACKGROUND:3D printing technology can design and construct models,surgical guides and personalized implants or fixture according to the actual condition and treatment demand of patients,which has great application prospects in the repair of traumatic fractures.OBJECTIVE:To review the application of 3D printing technology in traumatic fractures.METHODS:Web of Science,PubMed and CNKI databases were searched for relevant literature on the application of 3D printing technology in the field of trauma orthopedics published from 2020 to 2024.Chinese and English search terms were"traumatic fracture,3D printing technology,digital model,surgical guide."Finally,60 articles were included for analysis.RESULTS AND CONCLUSION:(1)Traumatic fracture is a fracture phenomenon with interruption of bones continuity and destruction of integrity caused by various injurious factors.Improving reduction and healing effects with reliable schemes has become a hot issue that needs to be handled urgently in orthopedics related field.(2)3D printing technology is a three-dimensional entity technology to meet demands based on digital model data,in which adhesive forming materials(powdered metal or polymer),stereolithography,deposition modeling,and optical polymer spray are used,and it is widely used in the field of digital orthopedic biomedicine.(3)3D printing technology has played significant advantages in disease diagnosis,preoperative planning,reconstructing fracture 3D model,customizing orthopedic implants,customizing fixation braces and prosthetics,fabrication of surgical guide and repair of bone defects,which can design and construct models,surgical guides,and personalized implants or fixture according to the actual conditions and treatment demands of patients.It can provide new ideas for the treatment of traumatic fractures.

Objective:To investigate the clinical efficacy and safety of laser ablation and closure for the treatment of sacrococcygeal pilonidal disease (SPD) and to analyze risk factors for postoperative recurrence in male patients.Methods:A retrospective observational study was conducted to collect clinical data of 369 patients with SPD who underwent laser ablation and closure in the Anorectal Department of Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine between March 2019 and December 2024. Perioperative outcomes and postoperative recurrence were analyzed. The cohort included 313 males and 56 females, with 43 patients aged ≤18 years. The median body mass index was 26.3 (IQR: 22.9, 29.6) kg/m2, and the median disease duration was 28 months (IQR: 4, 76). Among them, 218 male SPD patients who underwent surgery received preoperative sex hormone testing. A logistic regression model was used to analyze the risk factors for recurrence.Results:All patients completed the surgery. The median intraoperative ablation energy delivered was 426.8 (IQR: 243.9, 683.9) J, with no occurrence of major intraoperative complications. Postoperatively, a total of 31 patients (8.4%) required analgesic medication. Within the first postoperative week, 12 patients experienced wound oozing/bleeding; hemostasis was achieved by compression alone in 5 cases, while the remaining 7 instances required suture hemostasis after failed compression attempts. No other complications were observed. The median postoperative hospital stay was 6 (IQR: 4, 8) days, and the median time to return to regular work and life was 7 (IQR: 5, 12) days. The wound healing rate was 100%, with a median wound healing time of 35 (IQR: 30, 42) days. Postoperative recurrence occurred in 19 patients (5.1%), all of whom were male. Multivariate logistic regression analysis identified age ≤18 years (OR = 4.764, 95%CI: 2.424-34.905, P = 0.008) and a history of previous SPD surgery (OR = 5.078, 95%CI: 1.431-18.019, P = 0.012) as independent risk factors for recurrence after SPD laser ablation and closure surgery. Conclusion:Laser ablation and closure are safe, effective, and minimally invasive treatments for SPD. However, particular attention should be paid to the risk of recurrence in young male patients and those with a history of previous SPD surgery.

Following the principles of evidence-based medicine,in accordance with the structure and drafting rules of standardized documents,based on literature research,according to the characteristics of chronic cough in children and issues that need to form a consensus,the TCM Guidelines for Diagnosis and Treatment of Chronic Cough in Children was formulated based on the Delphi method,expert discussion meetings,and public solicitation of opinions.The guideline includes scope of application,terms and definitions,eti-ology and diagnosis,auxiliary examination,treatment,prevention and care.The aim is to clarify the optimal treatment plan of Chinese medicine in the diagnosis and treatment of this disease,and to provide guidance for improving the clinical diagnosis and treatment of chronic cough in children with Chinese medicine.

AIM: To observe the clinical efficacy of multi -glycoside of tripterygium wilfordii (GTW) on diabetic nephropathy. METHODS: Fifty-one patients with diabetic kidney disease (DKD) with a history of GTW dosing admitted to the outpatient clinic of Yijishan Hospital affiliated to Wannan Medical College from June 2019 to October 2022 were selected as study subjects, and were followed up regularly to observe the changes in laboratory indexes before and after GTW dosing and adverse drug reactions after 6 months of treatment. The t-test, Mann-Whitney U-test or χ