University Of Chinese Medicine Research Articles

Bibliometric analysis of traditional Chinese medicine in the treatment of inflammatory bowel disease

Bibliometric analysis of traditional Chinese medicine in the treatment of inflammatory bowel disease

Serum Vitamin D Level in Overweight Individuals and Its Correlation With the Incidence of Non-alcoholic Fatty Liver Disease

In this study, we investigated the serum vitamin D level in overweight individuals and its correlation with the incidence of nonalcoholic fatty liver disease (NAFLD). Between May 2020 and May 2021, the Department of Gastroenterology at the People’s Hospital of Henan University of Traditional Chinese Medicine treated a total of 321 outpatients and inpatients with NAFLD, who were included in the NAFLD group, while 245 healthy age- and gender-matched individuals were included in the control group. All the data were collected for the relevant indices, including fasting plasma glucose, total cholesterol, triglyceride, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, alanine transaminase, and 25-hydroxy vitamin D (25[OH]D. The patients with NAFLD were divided into the normal BMI group, the overweight group, and the obese group, according to the body mass index, and the 25(OH)D levels were compared between the different groups. Spearman’s correlation analysis was performed to analyze the correlation between the serum 25(OH)D level and NAFLD. Regarding the serum 25 (OH)D level, it was lower in the NAFLD group than in the control group ([18.36 + 1.41] µg/L vs [22.33 + 2.59] µg/L, t = −5.15, P<0.001), and was lower in the overweight group than in the normal group ([18.09 ± 5.81] µg/L vs [20.60 ± 4.16] µg/L, t = 0.26, P = 0.041). The serum 25(OH)D level was thus negatively correlated with the incidence of NAFLD in overweight individuals (r = 0.625, P<0.05). In conclusion, the level of 25(OH)D decreased in patients with NAFLD with increasing BMI (normal, overweight, obese). Keywords: Nonalcoholic fatty liver disease • Vitamin D

Based on the Molecular Mechanism of CiteSpace Sanqi Total Saponin and the Prevention and Treatment of Renal Fibrosis, Hot Spot Visualization Analysis

This study aims to study the current situation, hot spots and development trends of Sanqi total saponins in the prevention and treatment of renal fibrosis through a visual map, in order to provide a direction and trend for the research of traditional Chinese medicine on the prevention and treatment of renal fibrosis. Method: By using CiteSpace visualization software, the relevant literature on the use of Sanqi total saponins in the CNKI database for the treatment of renal fibrosis was visually analyzed, including posting trends, authors, institutions and keywords, and the corresponding knowledge map was generated. Results: From 2005 to 2022, a total of 1,533 documents were included in the research results. From 2008 to 2017, an average of 99 articles were published every year, accounting for 67.5% of the total number of articles published. Among them, the number of articles published in 2010 and 2013 reached 114, the highest in previous years. At the same time, Yang Min is the author who has published the most articles, with a total of 29 papers. Beijing University of Traditional Chinese Medicine is the main research institution in this field. Through cluster analysis of research hotspots, ten clusters were obtained, including rats, left ventricular reconstruction, oxidative stress, drug interaction, astragaloside, apoptosis, matrix metalloproteinase-9,oleoside, lipopolysaccharide, atherosclerosis, etc. Future research focuses include oxidative stress, autophagy process, Sanqi total saponins, inflammatory response, cell proliferation and apoptosis, and pharmacokinetics. Conclusion: The knowledge map reveals the research status and research hotspots of Sanqi total saponins in the prevention and treatment of renal fibrosis, including oxidative stress, inflammation, cell proliferation and apoptosis, which will become the focus of research on the prevention and treatment of renal fibrosis in traditional Chinese medicine in the future. However, the collaboration between research authors and scientific research institutions lacks closeness, lacks core authors, and has not yet formed an influential research organization. The depth and breadth of research need to be further enhanced.

Visual Analysis of Sanyinjiao(SP6) Studies Based on CiteSpace

Objective To conduct a visual analysis of literature around the Sanyinjiao (SP6), and to explore the research process, hot spots and future development trend of the Sanyinjiao (SP6) in the past 20 years. Methods CNKI was used as the data source, and the basic and clinical research literature collected from January 2000 to December 2022 were visually analyzed by using citespace software, and the relevant maps of keywords, authors and institutions were drawn. Results  In the basic study, 287 articles were included, and 9 keywords were clustered, with the highest acupuncture centrality (0.46), the author with the highest number of publications was Zhu Jiang (33 articles), and the institution with the largest number of publications was the School of Acupuncture and Tuina of Beijing University of Chinese Medicine (42 articles). The clinical study included 1794 articles, and 9 keyword clusters were obtained, Yinlingquan had the highest centrality (0.46), the authors with the most publications were Zhu Jiang, Wang Pei, Hu Shangqing, Ma Yuxia (7 articles), and the institution with the largest number of publications was Guangzhou University of Chinese Medicine (59 articles). Conclusion   The dynamics and trends of the number of literature changes in basic and clinical research are revealed, and the research content and research hotspots of Sanyinjiao(SP6) in basic and clinical applications are analyzed.

Trends and hotspots in acupuncture treatment of rat models of stroke: a bibliometric analysis from 2004 to 2023

BackgroundAcupuncture is a widely used clinical treatment method, and studies have confirmed its therapeutic effects on stroke patients. It can also reduce the burden on patients and society. Acupuncture treatment is a complementary and preventive treatment for stroke. However, there has yet to be a visual bibliometric analysis of the field of acupuncture for stroke rat models. This study explores future trends, research hotspots, and frontiers in acupuncture for stroke rat models over the past 20 years through investigation and visualization.MethodsWe collected literature data on acupuncture treatment of stroke in rats from the Web of Science Core Collection (WOSCC) database from January 1, 2004, to December 31, 2023. Import into CiteSpace (version 6.2.R4) and RStudio for analysis by author, country/region, affiliation, annual publication, keywords, and journal visualization.ResultsA total of 379 articles were retrieved, including articles from 16 countries, 258 research institutions, and 123 academic journals. The countries and institutions with the most publications were the People’s Republic of China (338) and the Fujian University of Traditional Chinese Medicine (43). Tao, Jing had the highest number of co-citations (144). The keywords and co-citation clustering show the main research directions in the field, including “artery occlusion,” “neural regeneration,” “stimulation,” “rapid tolerance,” “receptor,” “signaling pathway,” “apoptosis,” “oxidative stress,” “inflammatory response,” “endogenous neurogenesis,” “tolerance of local cerebral ischemic tissues,” “proliferation of reactive astrocytes” and “neuroprotective effect.” The intervention combines classical acupuncture treatment and modern technology (electricity) with electroacupuncture as a new intervention modality.ConclusionThis study demonstrates the increasing research on acupuncture for treating stroke in rat models. The country/region with the most publications is the People’s Republic of China. However, international cooperation still needs to be improved, and future researchers must strengthen international cooperation. In addition, in future studies, researchers should improve the overall quality of research results in this area and enhance research protocols.

Prediction models for postoperative recurrence of non-lactating mastitis based on machine learning

ObjectivesThis study aims to build a machine learning (ML) model to predict the recurrence probability for postoperative non-lactating mastitis (NLM) by Random Forest (RF) and XGBoost algorithms. It can provide the ability to identify the risk of NLM recurrence and guidance in clinical treatment plan.MethodsThis study was conducted on inpatients who were admitted to the Mammary Department of Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine between July 2019 to December 2021. Inpatient data follow-up has been completed until December 2022. Ten features were selected in this study to build the ML model: age, body mass index (BMI), number of abortions, presence of inverted nipples, extent of breast mass, white blood cell count (WBC), neutrophil to lymphocyte ratio (NLR), albumin-globulin ratio (AGR) and triglyceride (TG) and presence of intraoperative discharge. We used two ML approaches (RF and XGBoost) to build models and predict the NLM recurrence risk of female patients. Totally 258 patients were randomly divided into a training set and a test set according to a 75%-25% proportion. The model performance was evaluated based on Accuracy, Precision, Recall, F1-score and AUC. The Shapley Additive Explanations (SHAP) method was used to interpret the model.ResultsThere were 48 (18.6%) NLM patients who experienced recurrence during the follow-up period. Ten features were selected in this study to build the ML model. For the RF model, BMI is the most important influence factor and for the XGBoost model is intraoperative discharge. The results of tenfold cross-validation suggest that both the RF model and the XGBoost model have good predictive performance, but the XGBoost model has a better performance than the RF model in our study. The trends of SHAP values of all features in our models are consistent with the trends of these features’ clinical presentation. The inclusion of these ten features in the model is necessary to build practical prediction models for recurrence.ConclusionsThe results of tenfold cross-validation and SHAP values suggest that the models have predictive ability. The trend of SHAP value provides auxiliary validation in our models and makes it have more clinical significance.

[Clinical analysis of 4 cases of acute nitrite food poisoning].

Nitrite has high toxicity and is commonly found in food poisoning. Poisoned patients may experience cyanosis of the skin and lips, nausea, vomiting, and difficulty breathing or coma may occur in severe cases. Four cases of nitrite poisoning patients who were transferred from primary hospitals to the Third Affiliated Hospital of Gansu University of Chinese Medicine, the First People's Hospital of Baiyin were reported. After symptomatic supportive treatment with special antidote methylene blue, oxygen inhalation, blood purification, etc., the patients recovered and were discharged after 4 days of treatment.

Assessing health-related quality of life of Chinese population using CQ-11D

PurposeThis study aimed to assess the health-related quality of life (HRQoL) of the Chinese population by using the Chinese medicine quality of life-11 dimensions (CQ-11D) questionnaire and to identify factors associated with HRQoL.MethodsThe data was derived from a survey conducted by the Institute of Pharmacoeconomics Evaluation at Beijing University of Chinese Medicine on the quality of life of the Chinese population. The sex and age of respondents were considered through quota sampling. Demographic, socioeconomic, and health indicators were collected using the structured questionnaire. We performed bivariate analyses first to examine the associations between the above factors and the HRQoL of respondents measured by the CQ-11D. Multivariate linear regression and ordinal logistic regression models were established to analyze the factors (demographic, socioeconomic, and health indicators) differences in HRQoL, as well as the risk of each group reporting problems across the 11 dimensions of CQ-11D.ResultsFrom February 2021 to November 2022, a total of 7,604 respondents were involved and 7,498 respondents were included. The sample approximated the general adult Chinese population in terms of age, sex, and district of residence, and each geographic distribution ranged from 9.71 to 25.54%. Of the respondents, 45.84% were male, and 89.82% were Han ethnicity. The mean utility score ranged from 0.796 to 0.921 as age increased. According to the respondents, most health problems were identified in the PL (fatigue) (70.16%) and SM (quality of sleep) (63.63%) dimensions. The CQ-11D index scores varied with the demographic and socioeconomic characteristics of respondents, except for ethnicity (p > 0.05) and income (p > 0.05). The multivariate analysis revealed significant negative associations between health utility scores and various factors. These factors include sex (female), age over 65, belonging to ethnic minorities, rural household registration, being widowed or divorced, having a primary school education or below, being a student or unemployed, having a low income of 0–1,300, engaging in smoking or drinking, limited participation in physical activities, experiencing changes in self-perceived health status compared to the previous year, and having chronic diseases. The odds of respondents reporting problems in 11 dimensions varied among different socio-demographic groups.ConclusionsThis study reports the first Chinese population norms for the CQ-11D derived using a representative sample of the Chinese general population. Self-reported health status measured by the CQ-11D varies among different socio-economic groups. In addition to participation a physical activity and the presence of chronic disease, smoking and drinking also significantly influence HRQoL.

Multi-feature, Chinese-Western medicine-integrated prediction model for diabetic peripheral neuropathy based on machine learning and SHAP.

Clinical studies have shown that diabetic peripheral neuropathy (DPN) has been on the rise, with most patients presenting with severe and progressive symptoms. Currently, most of the available prediction models for DPN are derived from general clinical information and laboratory indicators. Several Traditional Chinese medicine (TCM) indicators have been utilised to construct prediction models. In this study, we established a novel machine learning-based multi-featured Chinese-Western medicine-integrated prediction model for DPN using clinical features of TCM. The clinical data of 1581 patients with Type 2 diabetes mellitus (T2DM) treated at the Department of Endocrinology of the First Affiliated Hospital of Anhui University of Chinese Medicine were collected. The data (including general information, laboratory parameters and TCM features) of 1142 patients with T2DM were selected after data cleaning. After baseline description analysis of the variables, the data were divided into training and validation sets. Four prediction models were established and their performance was evaluated using validation sets. Meanwhile, the accuracy, precision, recall, F1 score and area under the curve (AUC) of ROC were calculated using ten-fold cross-validation to further assess the performance of the models. An explanatory analysis of the results of the DPN prediction model was carried out using the SHAP framework based on machine learning-based prediction models. Of the 1142 patients with T2DM, 681 had a comorbidity of DPN, while 461 did not. There was a significant difference between the two groups in terms of age, cause of disease, systolic pressure, HbA1c, ALT, RBC, Cr, BUN, red blood cells in the urine, glucose in the urine, and protein in the urine (p<0.05). T2DM patients with a comorbidity of DPN exhibited diverse TCM symptoms, including limb numbness, limb pain, hypodynamia, thirst with desire for drinks, dry mouth and throat, blurred vision, gloomy complexion, and unsmooth pulse, with statistically significant differences (p<0.05). Our results showed that the proposed multi-featured Chinese-Western medicine-integrated prediction model was superior to conventional models without characteristic TCM indicators. The model showed the best performance (accuracy=0.8109, precision=0.8029, recall=0.9060, F1 score=0.8511, and AUC=0.9002). SHAP analysis revealed that the dominant risk factors that caused DPN were TCM symptoms (limb numbness, thirst with desire for drinks, blurred vision), age, cause of disease, and glycosylated haemoglobin. These risk factors were exerted positive effects on the DPN prediction models. A multi-feature, Chinese-Western medicine-integrated prediction model for DPN was established and validated. The model improves early-stage identification of high-risk groups for DPN in the diagnosis and treatment of T2DM, while also providing informative support for the intelligent management of chronic conditions such as diabetes.

An in-depth study on the magnetic resonance imaging characteristics of tendon rupture in sports injuries and its correlation with patients' clinical symptoms.

Muscle injuries, such as Achilles and quadriceps tendon ruptures, pose a significant challenge in elite sports, accounting for more than 30% of all sports-related injuries. Our primary goal is to investigate the MR imaging characteristics of tendon rupture in sports injuries and their relationship with patients' clinical symptoms. In our retrospective study at Zhejiang University of Traditional Chinese Medicine's Second Affiliated Hospital (Zhejiang Xinhua Hospital), we compared the clinical presentation and MRI results of 106 patients with isolated AT and QT ruptures. In the AT, the enthesis was identified as a common site of bony avulsions (30.2%). In contrast, insertional ruptures were more common in the gastrocnemius heads (69.8% and 66.0%). The low frequency of mid-substance tears (13.2% to 20.8%) demonstrated the central tendon region's inherent tensile strength. The ruptured musculotendinous junctions affected the soleus (20.8%). In QT, bony avulsions play a minor role (5.1% to 11.3%). The patella was the primary site of tears (42.2% - 45.3%), with the Vastus intermedius favoring proximal tears (58.5%). Our examination of AT and QT ruptures across sub-components sheds light on their distinct patterns and the implications for clinical practice in terms of precise diagnosis, personalized treatment, and, ultimately, better patient outcomes for these debilitating injuries.

[Effect of corneal e-value on myopia control in children and adolescents with orthokeratology].

Objective: To investigate the influence of corneal e-value on the effectiveness of orthokeratology in controlling myopia in children and adolescents. Methods: A retrospective cohort study was conducted, involving the data from 1 563 myopic patients (1 563 eyes) who underwent orthokeratology at the Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine from June 2015 to August 2021 and adhered to lens wear for at least 2 years. The cohort consisted of 737 males and 826 females with an average age of (10.84±2.13) years. Based on corneal e-value parameters obtained from corneal topography, patients were categorized into a low e-value group (n=425) and a high e-value group (n=1 138). Data on gender, age, parental myopia history, and baseline measures such as spherical equivalent (SE), axial length, and corneal e-value were collected. Differences in axial length change and corneal fluorescein staining rates were compared between the two groups at 1 and 2 years after the start of lens wear. A generalized linear mixed model was established with axial length change as the dependent variable to analyze the correlation between axial length change and baseline corneal e-value. Results: The initial age of the 1 563 myopic patients was (10.84±2.13) years, with a baseline SE of (-3.05±1.30) D. After 1 year of lens wear, the axial length change was (0.20±0.19) mm in the low e-value group and (0.24±0.20) mm in the high e-value group. After 2 years, the changes were (0.38±0.25) mm and (0.43±0.27) mm, respectively, with statistically significant differences (all P<0.05). The incidence of corneal staining after 1 year of lens wear was 9.2% (39/425) in the low e-value group and 14.1% (160/1 138) in the high e-value group. After 2 years, the rates were 15.8% (67/425) and 21.8% (248/1 138), respectively, with statistically significant differences (all P<0.05). After adjusting for parental myopia history, age, SE, and baseline axial length, the baseline corneal e-value was positively correlated with axial length change at 1 and 2 years after lens wear (all P<0.05). Conclusions: Corneal e-value is an independent factor influencing the effectiveness of orthokeratology in controlling myopia. A smaller corneal e-value is associated with slower axial length growth after orthokeratology, indicating better control of myopia in treated eyes.

Research on the Impact of Organization Commitment on Traditional Chinese Medicine University Teachers' Innovative Work Behaviour

As a result of an imbalance of innovation, several countries' increase in productivity has stopped, which is why Education 4.0 promotes development. A world-class system of education that develops outstanding learners and cutting-edge concepts is essential, and talented teachers serve a key role in development—results from the current study on Innovative Work Behaviour (IWB) at Traditional Chinese Medicine University. Professors are discussed online. These research outcomes show that HE institutions significantly impact Organisation Commitment (OC)  and IWB, with OC functioning as an initial step towards IWB. The paper intended to provide insight into how Higher Education (HE) institutions in the nation of China employ the principles of Traditional Chinese Medical Education Innovative Work Behaviour (TCMEWB) along with factors that might impact IWB analysis. The medical education on-the-job teachers' TCMEWB is investigated regarding their respective emotions, strengths, and adaptability. Similar to previous studies and current hypotheses, outcomes show that stress and unreasonable assumptions affect the relationship between self-confidence and TCMEWB, with both theoretical and practical impacts. The investigators in the southwest region of China analysed 500 teachers (F=75.5%; M = 24.5% ) and reported that IWB and the impact of OC dramatically improved academic achievement. The results of the study were examined using Multiple Linear Regression (MLR) and SPSS. Studies from the two statistical tests of weight (t-test and analysis of deviation) indicate that the mean OC of teachers at China's Traditional Chinese Medicinal Higher Education Institutions depends on demographic factors such as Experience, Education, and Salary. In order to figure out the level of OC among teachers, investigators evaluated several factors, including emotions, strength, and adaptability. The correlation and coefficients for these factors vary from 0.24 to 0.57. 

Clinical features and risk factors for primary Sjögren’s syndrome combined with interstitial lung disease: a retrospective study

Objective:To analyze the clinical characteristics of primary Sjögren’s syndrome (pSS) combined with interstitial lung disease (ILD), so as to provide a theoretical basis for the early diagnosis, treatment and prevention of PSS-ILD.Methods:From October 2017 to January 2022, patients with pSS who were admitted to the Department of Rheumatology at Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine were included in this retrospective study. Patients were divided into the pSS-ILD (102 cases) and pSS-non-ILD groups (154 cases) based on the presence or absence of ILD on high-resolution computed tomography (HRCT). Demographics information, clinical symptoms, laboratory indicators and HRCT features were compared, and the logistic regression analysis was utilized to identify the risk factors.Results:A total of 256 patients were included. Patients with pSS-ILD were more often female, and their age and disease duration were significantly higher than those in the pSS-non-ILD group (p &amp;lt; 0.05). The HRCT imaging classification included ground glass-like shadow (78.4%) and patchy solid shadow (17.6%), and Non-specific interstitial pneumonitis (NSIP) (72.5%) was the predominant typology. Regarding the laboratory indexes, the positive rates of erythrocyte sedimentation rate, C-reactive protein, white blood cell count, neutrophil/lymphocyte ratio, triglycerides, total cholesterol, and anti-SS-A52 antibodies were significantly higher in the pSS-ILD patients than in the pSS-non-ILD group, while the positive rates of anti-synaptic antibodies were lower than in the pSS-non-ILD group, and the differences between two groups were statistically significant (p &amp;lt; 0.05). Logistic regression showed that age &amp;gt;60 years, longer duration of disease, higher triglycerides, and cholesterol were risk factors for pSS-ILD patients.Conclusion:The clinical features of pSS-ILD patients were xerophthalmia, cough and shortness of breath, and HRCT can help to diagnose the disease at an early stage. Age over 60 years, chronic course of disease, and elevated lipid levels are risk factors for ILD in pSS patients, and the relationship between autoimmune antibody levels and the occurrence of ILD needs to be further confirmed in follow-up studies with large sample sizes. These findings have the potential to provide useful information for early diagnosis, treatment, and prevention of the development of pSS-ILD.

Factors Influencing Ethical Behavior Among Chinese Undergraduate Nursing Students

Learning how to effectively respond to ethical dilemma can affect nurses’ physical and mental health, which is not conducive to developing a nursing career. Nursing students’ ethical behavior warrants attention as professionals about to begin clinical work. We aim to understand the current situation and influencing factors of Chinese nursing students’ ethical behavior. A cross-sectional descriptive study was conducted. Descriptive statistics and multiple linear regression were used to analyze the data. Full-time nursing students were recruited from an undergraduate medical university in Jinan through convenient sampling from November to December 2021. Research ethics approval (No. 2022-0018) was obtained from the Ethics Committee of Affiliated Hospital of Shandong University of Traditional Chinese Medicine. Informed consent was also received from participants. The EBT scores of the nursing students were 95.14 ± 11.37, which was not high compared with the total score. Gender, year level, and professional values had a significant impact on participants’ ethical behavior. A positive correlation was found between nursing professional values and ethical behavior. A gap still exists between the moral development and maturity of undergraduate nursing students. To further cultivate their ethical behavior and improve their confidence and ability to respond to ethical dilemmas, more innovative methods must be employed in teaching ethics courses, and continuity in the ethics education system must be maintained. For male and third- and fourth-year nursing students who showed lower ethical behavior scores, nursing educators can develop their ethical behaviors by helping them establish positive professional values.

Elevated Activated Partial Thromboplastin Time as a Predictor of 28-Day Mortality in Sepsis-Associated Acute Kidney Injury: A Retrospective Cohort Analysis.

To address the critical mortality rates among sepsis-associated acute kidney injury (SA-AKI) patients, early prognosis is vital. This study investigates the relationship between coagulation indices and the 28-day mortality rate in patients with SA-AKI. This study was a retrospective cohort analysis including patients with SA-AKI admitted to the First Hospital of Fujian Medical University as a training cohort (n = 119) and patients admitted to the Third People's Hospital of Fujian University of Traditional Chinese Medicine as a validation cohort (n = 51). We examined the relationship between coagulation indices and 28-day mortality in SA-AKI, the cumulative mortality at different activated partial thromboplastin time (APTT) levels, and the nonlinear relationship between APTT and 28-day mortality. Receiver operating characteristic curves were plotted, and the area under the curve was calculated to assess the predictive power of APTT. Finally, subgroup analyses were performed to assess the robustness of the association. Overall, 119 participants with a mean±standard deviation age of 70.47±15.20 years were included in the training cohort: 54 died, 65 survived. According to univariate and multivariate COX regression analyses, APACHE II score, CRP level, Lac level, and APTT level were independent risk factors for 28-day adverse prognosis. After controlling for some variables, an elevated baseline APTT (≥ 37.7 s) was associated with an elevated risk of 28-day mortality (HR, 1.017; 95% CI, 1.001-1.032), and Kaplan-Meier analyses further confirmed the increased mortality in the group with a higher APTT. The same results were shown when the validation cohort was analyzed (HR, 1.024; 95% CI, 0.958-1.096). Subgroup analyses showed the stability of the association between APTT and poor prognosis in SA-AKI. In essence, APTT elevation is synonymous with increased 28-day mortality rates, indicating a poor prognosis in SA-AKI scenarios.

Prediction model of deep vein thrombosis risk after lower extremity orthopedic surgery

PurposeThis investigation was conceived to engineer and appraise a pioneering clinical nomogram, crafted to bridge the extant chasm in literature regarding the postoperative risk stratification for deep vein thrombosis (DVT) in the aftermath of lower extremity orthopedic procedures. This novel tool offers a sophisticated and discerning algorithm for risk prediction, heretofore unmet by existing methodologies. MethodsIn this retrospective observational study, clinical records of hospitalized patients who underwent lower extremity orthopedic surgery were collected at the Wuxi TCM Hospital Affiliated to the Nanjing University of Chinese Medicine between Jan 2017 and Oct 2019. The univariate and multivariate analysis with the backward stepwise method was applied to select features for the predictive nomogram. The performance of the nomogram was evaluated with respect to its discriminant capability, calibration ability, and clinical utility. ResultA total of 5773 in-hospital patients were eligible for the study, with the incidence of deep vein thrombosis being approximately 1 % in this population. Among 31 variables included, 5 of them were identified to be the predictive features in the nomogram, including age, mean corpuscular hemoglobin concentration (MCHC), D-dimer, platelet distribution width (PDW), and thrombin time (TT). The area under the receiver operating characteristic (ROC) curve in the training and validation cohort was 85.9 % (95%CI: 79.96 %–90.04 %) and 85.7 % (95%CI: 78.96 %–90.69 %), respectively. Both the calibration curves and decision curve analysis demonstrated the overall satisfactory performance of the model. ConclusionOur groundbreaking nomogram is distinguished by its unparalleled accuracy in discriminative and calibrating functions, complemented by its tangible clinical applicability. This innovative instrument is set to empower clinicians with a robust framework for the accurate forecasting of postoperative DVT, thus facilitating the crafting of bespoke and prompt therapeutic strategies, aligning with the rigorous standards upheld by the most esteemed biomedical journals.

Efficacy of electro-acupuncture versus sham acupuncture for diabetic peripheral neuropathy: study protocol for a three-armed randomised controlled trial

IntroductionSpecific treatment for diabetic peripheral neuropathy (DPN) is still lacking, and acupuncture may relieve the symptoms. We intend to investigate the efficacy and safety of electro-acupuncture (EA) in alleviating symptoms...

The clinical significance of monitoring serum levels of glutathione peroxidase and selenium in patients with polycystic ovary syndrome

[Objective] This study aims to analyze the levels of the trace element selenium (Se), glutathione peroxidase (GSH-Px), and total antioxidant capacity (TAC) in the serum of women with polycystic ovary syndrome (PCOS) compared to women with normal menstrual cycles. By examining the relationship between Se levels, oxidative stress (OS), and PCOS, the study provides a theoretical basis for the supplementation of the potent antioxidant Se in women with PCOS, aiming to improve the prevention and management of PCOS and reduce its complications.[Methods] Sixty-six females diagnosed with PCOS for the first time from June 2022 to June 2023 at the Shenzhen Hospital of Guangzhou University of Chinese Medicine (Futian) were selected as the observation group. Sixty-eight healthy volunteers with regular menstrual cycles were randomly selected as the control group. Serum levels of GSH-Px, TAC, and Se were measured and statistically analyzed for both groups.[Results] Serum levels of Se, TAC, and GSH-Px were significantly lower in the observation group compared to the control group (P&lt;0.05), indicating a statistically significant difference.[Conclusion] The deficiency of the trace element Se leads to a reduction in OS indicators, including levels of GSH-Px and TAC. It is inferred that Se deficiency may be associated with the pathogenesis of PCOS to a certain extent.

The Effects of Traditional Chinese Herbal Dietary Formula on the Ability of Daily Life and Physical Function in Elderly Patients with Mild Cognitive Impairment.

We aimed to examine the association of traditional Chinese herbal dietary formulas with ability of daily life and physical function in elderly patients with mild cognitive impairment. The current study included 60 cases of elderly patients with mild cognitive impairment from Yueyang Hospital of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai University of Traditional Chinese Medicine and Hongkou District, Shanghai. The participants were randomly divided into two groups: group A (herbal dietary formula group, consisting of Alpiniae Oxyphyllae Fructus, Nelumbinis plumula, Chinese Yam, Poria cocos, and Jineijin), 30 cases, and group B (vitamin E), 30 cases, treatment for 3 months. Cognitive function was measured using the Montreal Cognitive Assessment (MOCA) and Mini-Mental State Examination (MMSE); body function was measured using the Chinese Simplified Physical Performance Test (CMPPT), including stand static balance, sitting-up timing, squat timing, and six-meter walk timing. Daily life based on ability was measured by grip strength and the Activity of Daily Living Scale (ADL). The lower the scores of the above items, the poorer the disease degree, except for ADL: the lower the score, the higher the self-care ability. After 3 months of treatment, the two-handed grip strength of both the herbal dietary formula group and vitamin E group increased; the ADL, sitting-up timing, squatting timing, and six-meter walking timing decreased after medication, being statistically significantly different (p < 0.05). The two-handed grip strength of group A increased significantly, and the ADL, sitting-up timing, squatting timing, and six-meter walking timing decreased distinctly compared with the vitamin E group. There was a statistically significant difference (p < 0.05). The scores of MMSE, MOCA, total CMPPT, and standing static balance of the herbal dietary formula group increased after medication. The difference was statistically significant (p < 0.05). The vitamin E group's MMSE and MOCA scores, CMPPT total scores, and standing resting balance scores did not change significantly after medication (p > 0.05). In summary, a traditional Chinese herbal dietary formula can improve body and cognitive function in patients with MCI, and the curative effect is better than that of vitamin E. Traditional Chinese herbal dietary formulas can improve the daily life quality of MCI patients, which has clinical application value.

World Federation of Acupuncture-Moxibustion Societies (WFAS) Technical Benchmark of Acupuncture and Moxibustion: Electroacupuncture: 世界针灸学会联合会标准《针灸技术操作规范:电针》

World Federation of Acupuncture-Moxibustion Societies (WFAS) Technical Benchmark of Acupuncture and Moxibustion: Electroacupuncture, developed under the leadership of Shanghai University of Traditional Chinese Medicine, was approved by WFAS. This technical benchmark was issued on October 9, 2023, and implemented on December 31, 2023. The main contents include the scope, normative references, terms and definitions, acupuncture and moxibustion procedures and rules, and safety. This article focuses on the above contents. An outlook on the application, popularization, and update plan of this technical benchmark is proposed.