ObjectiveTo investigate the distribution of traditional Chinese medicine （TCM） syndrome patterns among postmenopausal women with dyslipidemia， and to examine the correlations of lipid parameters with bone mineral density （BMD） and bone metabolism markers across common TCM syndrome patterns， thereby providing a clinical reference for individualized integrative traditional Chinese and western medicine interventions stratified according to TCM syndrome patterns. MethodsA multi-center cross-sectional study was conducted among postmenopausal women aged 45-64 years with dyslipidemia. TCM syndromes were determined using a scale-based scoring method. BMD measurements were collected， and fasting venous blood samples were assayed for lipid parameters including total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein cholesterol （HDL-C）， and low-density lipoprotein cholesterol （LDL-C）， and bone metabolism biomarkers including osteocalcin （OST）， total procollagen type Ⅰ N-terminal propeptide （P1NP）， alkaline phosphatase （ALP）， bone-specific alkaline phosphatase （BALP）， β-isomerized C-terminal telopeptide of type Ⅰ collagen （β-CTX）， 25-hydroxyvitamin D ［25（OH）D］， and thyroid-stimulating hormone （TSH）. Chi-square tests were used to compare the distribution of dyslipidemia across different TCM syndromes. Spearman's rank correlation analysis was performed to evaluate the correlations between TCM syndrome patterns and dyslipidemia， as well as the correlations of lipid parameters with BMD and bone metabolism markers within each syndrome pattern. ResultsA total of 506 postmenopausal women with dyslipidemia were included， comprising 172 cases of spleen-kidney yang deficiency syndrome （33.99%）， 163 cases of phlegm-turbidity obstruction syndrome （32.21%）， 118 cases of liver-kidney yin deficiency syndrome （23.32%）， 33 cases of qi stagnation and blood stasis syndrome （6.52%）， and 20 cases of yin deficiency and yang hyperactivity syndrome （3.95%）. Phlegm-turbidity obstruction syndrome was negatively correlated with TC abnormality （r=-0.120， P=0.007） and positively correlated with TG abnormality （r=0.246， P＜0.001）. Spleen-kidney yang deficiency syndrome and liver-kidney yin deficiency syndrome were both negatively correlated with TG abnormality （r=-0.101， P=0.023； r=-0.116， P=0.009， respectively）. Further correlation analysis confirmed that phlegm-turbidity obstruction syndrome was negatively correlated with TC abnormality （r=-0.120） and significantly positively correlated with TG abnormality （r=0.246）. Both the spleen-kidney yang deficiency syndrome and liver-kidney yin deficiency syndrome were negatively correlated with TG abnormality （r=-0.101 and r=-0.116， respectively）. In patients with phlegm-turbidity obstruction syndrome， HDL-C was negatively correlated with BMD at the left femoral neck （r=-0.178， P=0.023） and at left total hip （r=-0.190， P=0.015）. In patients with liver-kidney yin deficiency syndrome， TG was positively correlated with BMD at the lumbar spine （L1-L4） and left total hip （r=0.214， P=0.020； r=0.221， P=0.016， respectively）. More significant correlations were observed in patients with spleen-kidney yang deficiency syndrome， TG was positively correlated with ALP （r=0.210， P=0.006）； TC was positively correlated with TSH and 25（OH）D （r=0.153， P=0.045； r= 0.231， P=0.002， respectively）； HDL-C was positively correlated with OST and 25（OH）D （r=0.156， P=0.040； r=0.228， P=0.003， respectively）； and LDL-C was positively correlated with TSH and 25（OH）D （r=0.156， P= 0.041； r=0.182， P=0.017， respectively）. In patients with liver-kidney yin deficiency syndrome， HDL-C was negatively correlated with TSH （r=-0.204， P=0.027）. ConclusionThe association between dyslipidemia and skeletal health in postmenopausal women varies across TCM syndromes. Lipid abnormalities in women with phlegm-turbidity obstruction syndrome or liver-kidney yin deficiency syndrome are accompanied primarily by site-specific alterations in BMD， whereas those in women with spleen-kidney yang deficiency syndrome are reflected mainly in changes in bone metabolism markers. These findings suggest that targeted intervention strategies should be developed according to TCM syndrome characteristics for postmenopausal women with dyslipidemia.

ObjectiveTo investigate the distribution of traditional Chinese medicine （TCM） syndrome patterns among postmenopausal women with dyslipidemia， and to examine the correlations of lipid parameters with bone mineral density （BMD） and bone metabolism markers across common TCM syndrome patterns， thereby providing a clinical reference for individualized integrative traditional Chinese and western medicine interventions stratified according to TCM syndrome patterns. MethodsA multi-center cross-sectional study was conducted among postmenopausal women aged 45-64 years with dyslipidemia. TCM syndromes were determined using a scale-based scoring method. BMD measurements were collected， and fasting venous blood samples were assayed for lipid parameters including total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein cholesterol （HDL-C）， and low-density lipoprotein cholesterol （LDL-C）， and bone metabolism biomarkers including osteocalcin （OST）， total procollagen type Ⅰ N-terminal propeptide （P1NP）， alkaline phosphatase （ALP）， bone-specific alkaline phosphatase （BALP）， β-isomerized C-terminal telopeptide of type Ⅰ collagen （β-CTX）， 25-hydroxyvitamin D ［25（OH）D］， and thyroid-stimulating hormone （TSH）. Chi-square tests were used to compare the distribution of dyslipidemia across different TCM syndromes. Spearman's rank correlation analysis was performed to evaluate the correlations between TCM syndrome patterns and dyslipidemia， as well as the correlations of lipid parameters with BMD and bone metabolism markers within each syndrome pattern. ResultsA total of 506 postmenopausal women with dyslipidemia were included， comprising 172 cases of spleen-kidney yang deficiency syndrome （33.99%）， 163 cases of phlegm-turbidity obstruction syndrome （32.21%）， 118 cases of liver-kidney yin deficiency syndrome （23.32%）， 33 cases of qi stagnation and blood stasis syndrome （6.52%）， and 20 cases of yin deficiency and yang hyperactivity syndrome （3.95%）. Phlegm-turbidity obstruction syndrome was negatively correlated with TC abnormality （r=-0.120， P=0.007） and positively correlated with TG abnormality （r=0.246， P＜0.001）. Spleen-kidney yang deficiency syndrome and liver-kidney yin deficiency syndrome were both negatively correlated with TG abnormality （r=-0.101， P=0.023； r=-0.116， P=0.009， respectively）. Further correlation analysis confirmed that phlegm-turbidity obstruction syndrome was negatively correlated with TC abnormality （r=-0.120） and significantly positively correlated with TG abnormality （r=0.246）. Both the spleen-kidney yang deficiency syndrome and liver-kidney yin deficiency syndrome were negatively correlated with TG abnormality （r=-0.101 and r=-0.116， respectively）. In patients with phlegm-turbidity obstruction syndrome， HDL-C was negatively correlated with BMD at the left femoral neck （r=-0.178， P=0.023） and at left total hip （r=-0.190， P=0.015）. In patients with liver-kidney yin deficiency syndrome， TG was positively correlated with BMD at the lumbar spine （L1-L4） and left total hip （r=0.214， P=0.020； r=0.221， P=0.016， respectively）. More significant correlations were observed in patients with spleen-kidney yang deficiency syndrome， TG was positively correlated with ALP （r=0.210， P=0.006）； TC was positively correlated with TSH and 25（OH）D （r=0.153， P=0.045； r= 0.231， P=0.002， respectively）； HDL-C was positively correlated with OST and 25（OH）D （r=0.156， P=0.040； r=0.228， P=0.003， respectively）； and LDL-C was positively correlated with TSH and 25（OH）D （r=0.156， P= 0.041； r=0.182， P=0.017， respectively）. In patients with liver-kidney yin deficiency syndrome， HDL-C was negatively correlated with TSH （r=-0.204， P=0.027）. ConclusionThe association between dyslipidemia and skeletal health in postmenopausal women varies across TCM syndromes. Lipid abnormalities in women with phlegm-turbidity obstruction syndrome or liver-kidney yin deficiency syndrome are accompanied primarily by site-specific alterations in BMD， whereas those in women with spleen-kidney yang deficiency syndrome are reflected mainly in changes in bone metabolism markers. These findings suggest that targeted intervention strategies should be developed according to TCM syndrome characteristics for postmenopausal women with dyslipidemia.

[Objective]To investigate the presence of SARS-CoV-2 RNA in semen after COVID-19 infection in vaccinated individuals and to evaluate the impact of different recovery stages on sperm quality.[Methods]From January to March 2023,vaccinated male patients with recent SARS-CoV-2 infections confirmed by throat swabs were recruited from the Reproductive Medicine Center at the First Affiliated Hospital of Anhui Medical University.Semen samples were analyzed with RT-qPCR to detect SARS-CoV-2 RNA.A retrospective analysis assessed sperm quality across recovery stages,comparing patients within 30 days of recovery to those with 30 days or more.Semen parameters evaluated included volume,total sperm count,forward motility percentage,abnormal morphology rate,and sperm DNA fragmentation index.In addition,a longitudinal self-comparison was performed to examine changes in semen quality before and after recovery(＜30 days and≥30 days).[Results]SARS-CoV-2 RNA was undetectable in the semen of all 205 patients.Neither cross-sectional comparisons nor longitudinal analyses showed significant differences in semen volume,sperm concentration,total sperm count,sperm morphology rate,sperm DNA fragmentation index,or high DNA stainability between recovery stages or compared to pre-infection values(P＞0.05).However,forward motility percentage markedly decreased during recovery,with statistical significant between groups(P＜0.05).[Conclusions]In vaccinated individuals who contracted COVID-19,SARS-CoV-2 was not transmitted through semen.Although the incidence of asthenozoospermia may increase within 30 days post-infection,this effect appears reversible in the short time.

Objective:To compare the value of different imaging modalities in evaluating early efficacy of 90Y-selective internal radiation therapy (SIRT) for liver malignant tumors. Methods:From September 2021 to December 2023, a retrospective analysis was conducted on 43 patients (32 males, 11 females; age (55.8±14.7) years) with liver malignant tumors who received 90Y-SIRT at Hainan Cancer Hospital and Boao Super Hospital. The injection dosage of 90Y was 1.5(1.2, 2.4)GBq. Clinical and imaging data of patients before and after treatment for multimodal evaluation were collected, including MRI plain and enhanced scans, as well as diffusion weighted imaging (DWI). Plain scan images were evaluated for the treatment efficacy by response evaluation criteria in solid tumors (RECIST) 1.1 version, while enhanced MRI was scored into 1-5 based on changes in the target area, including increased low-density range, necrotic features, and decreased enhancement. The minimum apparent diffusion coefficient (ADC min) of DWI increased by 20% compared to baseline was determined to be responsive. Wilcoxon signed rank test was used to analyze data, and ROC curve analysis was used to analyze the diagnostic efficacy of different imaging modalities (Delong test). Results:All patients had baseline MRI data, 39 underwent MRI at 1-month after treatment, and 22 underwent MRI at 3-month after treatment. Based on MRI plain scan images, the target lesions showed partial remission (PR) in 10.26%(4/39) of patients, progressive disease (PD) in 5.13%(2/39) of patients, and stable disease (SD) in 84.61%(33/39) of patients at 1-month after treatment; while there were 40.91%(9/22) PR, 9.09%(2/22) PD and 50.00%(11/22) SD at 3-month after treatment. Based on DWI images, 35.90%(14/39) and 68.18%(15/22) of patients were considered responsive at 1-month and 3-month after treatment, respectively. Compared with baseline, the differences of tumor sizes, enhancement degree of target lesions and ADC min at 1-month and 3-month after treatment were statistically significant ( Z values: from -3.88 to -2.39, all P<0.05). Compared with the tumor size and enhancement degree, the AUCs of ADC min were the highest at 1-month (0.701) and 3-month (0.953) after treatment ( Z values: 0.40-2.29, all P<0.05). Conclusions:MRI plain scan, MRI enhancement and DWI are effective in the evaluation the efficacy of 90Y-SIRT for liver malignant tumors at 1-month and 3-month after treatment. ADC min is superior to tumor size and enhancement degree in diagnostic efficacy.

[Objective]To investigate the presence of SARS-CoV-2 RNA in semen after COVID-19 infection in vaccinated individuals and to evaluate the impact of different recovery stages on sperm quality.[Methods]From January to March 2023,vaccinated male patients with recent SARS-CoV-2 infections confirmed by throat swabs were recruited from the Reproductive Medicine Center at the First Affiliated Hospital of Anhui Medical University.Semen samples were analyzed with RT-qPCR to detect SARS-CoV-2 RNA.A retrospective analysis assessed sperm quality across recovery stages,comparing patients within 30 days of recovery to those with 30 days or more.Semen parameters evaluated included volume,total sperm count,forward motility percentage,abnormal morphology rate,and sperm DNA fragmentation index.In addition,a longitudinal self-comparison was performed to examine changes in semen quality before and after recovery(＜30 days and≥30 days).[Results]SARS-CoV-2 RNA was undetectable in the semen of all 205 patients.Neither cross-sectional comparisons nor longitudinal analyses showed significant differences in semen volume,sperm concentration,total sperm count,sperm morphology rate,sperm DNA fragmentation index,or high DNA stainability between recovery stages or compared to pre-infection values(P＞0.05).However,forward motility percentage markedly decreased during recovery,with statistical significant between groups(P＜0.05).[Conclusions]In vaccinated individuals who contracted COVID-19,SARS-CoV-2 was not transmitted through semen.Although the incidence of asthenozoospermia may increase within 30 days post-infection,this effect appears reversible in the short time.

Objective:To compare the value of different imaging modalities in evaluating early efficacy of 90Y-selective internal radiation therapy (SIRT) for liver malignant tumors. Methods:From September 2021 to December 2023, a retrospective analysis was conducted on 43 patients (32 males, 11 females; age (55.8±14.7) years) with liver malignant tumors who received 90Y-SIRT at Hainan Cancer Hospital and Boao Super Hospital. The injection dosage of 90Y was 1.5(1.2, 2.4)GBq. Clinical and imaging data of patients before and after treatment for multimodal evaluation were collected, including MRI plain and enhanced scans, as well as diffusion weighted imaging (DWI). Plain scan images were evaluated for the treatment efficacy by response evaluation criteria in solid tumors (RECIST) 1.1 version, while enhanced MRI was scored into 1-5 based on changes in the target area, including increased low-density range, necrotic features, and decreased enhancement. The minimum apparent diffusion coefficient (ADC min) of DWI increased by 20% compared to baseline was determined to be responsive. Wilcoxon signed rank test was used to analyze data, and ROC curve analysis was used to analyze the diagnostic efficacy of different imaging modalities (Delong test). Results:All patients had baseline MRI data, 39 underwent MRI at 1-month after treatment, and 22 underwent MRI at 3-month after treatment. Based on MRI plain scan images, the target lesions showed partial remission (PR) in 10.26%(4/39) of patients, progressive disease (PD) in 5.13%(2/39) of patients, and stable disease (SD) in 84.61%(33/39) of patients at 1-month after treatment; while there were 40.91%(9/22) PR, 9.09%(2/22) PD and 50.00%(11/22) SD at 3-month after treatment. Based on DWI images, 35.90%(14/39) and 68.18%(15/22) of patients were considered responsive at 1-month and 3-month after treatment, respectively. Compared with baseline, the differences of tumor sizes, enhancement degree of target lesions and ADC min at 1-month and 3-month after treatment were statistically significant ( Z values: from -3.88 to -2.39, all P<0.05). Compared with the tumor size and enhancement degree, the AUCs of ADC min were the highest at 1-month (0.701) and 3-month (0.953) after treatment ( Z values: 0.40-2.29, all P<0.05). Conclusions:MRI plain scan, MRI enhancement and DWI are effective in the evaluation the efficacy of 90Y-SIRT for liver malignant tumors at 1-month and 3-month after treatment. ADC min is superior to tumor size and enhancement degree in diagnostic efficacy.

Objective To establish the therapeutic effect prediction model of platelet transfusion in hematological patients,and receiver operating characteristic(ROC)curve and clinical cases are used to evaluate the clinical application value of the predic-tion model.Methods A total of 485 patients with hematological diseases who received platelet transfusion therapy in Kailuan General Hospital from January 2020 to December 2023 were selected,corrected count increment(CCI)was used to divide the patients into platelet transfusion effective group(n=340)and transfusion ineffective group(n=145).Multivariate Logistic regres-sion analysis was used to establish the prediction model of platelet infusion efficacy,and ROC curve was used to evaluate the application effect of the forcasting model.109 clinical cases were used to verify the practical application effect of the model,and the sensitivity,specificity and accuracy were calculated.Results Among 485 patients with hematological diseases,the incidence of ineffective platelet transfusion was 29.90%(145/485).Compated with the effective group,the ineffective group had more previous platelet transfusions was higher,and the difference was statistically significant(t=-4.435,P<0.05).In the ineffective group,there were more cases of hyperplenism,aplastic anemia and lymphoma,higher infection rate and higher positive rate of platelet antibody,and the differences were statistically significant(χ2=6.301～37.522,all P<0.05).Multivariate Logistic regres-sion analysis found that previous platelet infusion times,infection,leukemia,aplastic anemia and platelet antibodies were risk factors for ineffective platelet transfusion in patients with hematological diseases(Wald χ2=5.224～21.548,all P<0.05).Based on these risk factors,platelet infusion effect prediction models 1 and 2 were constructed.ROC curve was used to evaluate the application effect of the prediction model.The area under the curve(AUC),cut-offpoint,sensitivity and specificity of model 1 were 0.884,0.042,82.35%,88.89%.The AUC,cut-offpoint,corresponding sensitivity and specificity of prediction model 2 were 0.910,59.784,81.18%,94.44%,respectively.The Z values of model 1 and model 2 were 12.159 and 13.151,respectively.The prediction effect of model 2 was better than that of model 1.The actual application results showed that the sensitivity,specificity and accuracy of prediction model 1,2 were 85.71%,92.05%,90.89%and 90.48%,93.18%,92.66%,respectively.Conclusion The ineffective rate of platelet transfusion in hematological patients is relatively high.The prediction models 1 and 2 for platelet transfusion effectiveness have good results in predicting ineffective platelet transfusion,and prediction model 2 is better than pre-diction model 1,which can provide reliable basis for hematological patients on accurate platelet transfusion.

Background: Obesity and chronic pain are related in both directions, according to earlier observational research.This research aimed to analyze the causal association between obesity and chronic pain at the genetic level, as well as to assess whether common factors mediate this relationship. Methods: This study used bidirectional two sample Mendelian randomization (MR) technique to analyze the association between obesity and chronic pain. Obesity's summary genome-wide association data were obtained from European ancestry groups, as measured by body mass index (BMI), waist-to-hip ratio, waist circumference (WC), and hip circumference (HC), genome-wide association study data for chronic pain also came from the UK population, including chronic pain at three different sites (back, hip, and headache), chronic widespread pain (CWP), and multisite chronic pain (MCP). Secondly, a two-step MR and multivariate MR investigation was performed to evaluate the mediating effects of several proposed confounders. Results: The authors discovered a link between chronic pain and obesity. More specifically, a sensitivity analysis was done to confirm the associations between greater BMI, WC, and HC with an increased risk of CWP and MCP.Importantly, the intermediate MR results suggest that education levels and smoking initiation may mediate the causal relationship between BMI on CWP, with a mediation effect of 23.08% and 15.38%, respectively. Conclusions The authors’ findings demonstrate that the importance of education and smoking in understanding chronic pain’s pathogenesis, which is important for the primary prevention and prognosis of chronic pain.

Background: Obesity and chronic pain are related in both directions, according to earlier observational research.This research aimed to analyze the causal association between obesity and chronic pain at the genetic level, as well as to assess whether common factors mediate this relationship. Methods: This study used bidirectional two sample Mendelian randomization (MR) technique to analyze the association between obesity and chronic pain. Obesity's summary genome-wide association data were obtained from European ancestry groups, as measured by body mass index (BMI), waist-to-hip ratio, waist circumference (WC), and hip circumference (HC), genome-wide association study data for chronic pain also came from the UK population, including chronic pain at three different sites (back, hip, and headache), chronic widespread pain (CWP), and multisite chronic pain (MCP). Secondly, a two-step MR and multivariate MR investigation was performed to evaluate the mediating effects of several proposed confounders. Results: The authors discovered a link between chronic pain and obesity. More specifically, a sensitivity analysis was done to confirm the associations between greater BMI, WC, and HC with an increased risk of CWP and MCP.Importantly, the intermediate MR results suggest that education levels and smoking initiation may mediate the causal relationship between BMI on CWP, with a mediation effect of 23.08% and 15.38%, respectively. Conclusions The authors’ findings demonstrate that the importance of education and smoking in understanding chronic pain’s pathogenesis, which is important for the primary prevention and prognosis of chronic pain.

Objective:To develop PixelSIFT-UNet, a novel semantic segmentation model that integrates deep learning with scale-invariant feature transform (SIFT) algorithm to improve the segmentation accuracy of oral mucosal lesions.Methods:This investigation utilized 838 standard clinical white light images of oral mucosal diseases acquired from January 2020 to December 2022 at the Stomatology Hospital Zhejiang University School of Medicine. Randomization was achieved through Python′s random.seed function implementation. The random sample function was subsequently applied for sampling distribution. The dataset was stratified into three subsets with a 6∶2∶2 ratio: training ( n=506), validation ( n=166), and testing ( n=166). Lesion boundaries were annotated using Labelme software, and a PixelSIFT-UNet-based deep learning model was developed with VGG-16 and ResNet-50 backbone networks. Model parameters were optimized using the validation set, and performance metrics [including Dice coefficient, mean intersection over union (mIoU), mean pixel accuracy (mPA), and Precision] were assessed on the test set. The model′s performance was benchmarked against conventional semantic segmentation frameworks (U-Net and PSPNet). Results:The developed PixelSIFT-UNet model could achieve precise segmentation of three common oral mucosal lesions: oral lichen planus, oral leukoplakia, and oral submucous fibrosis. Utilizing VGG-16 as the backbone network, the model achieved Dice coefficient, mIoU, mPA, and Precision values of 0.642, 0.699, 0.836, and 0.792, respectively. Implementation with ResNet-50 backbone network yielded metrics of 0.668, 0.733, 0.872 and 0.817, demonstrating significant improvements across all performance indicators compared to conventional U-Net model (relevant metrics: 0.662, 0.717, 0.861 and 0.809) and PSPNet model (relevant metrics: 0.671, 0.721, 0.858 and 0.813).Conclusions:The proposed PixelSIFT-UNet architecture demonstrates superior performance in oral mucosal lesion segmentation tasks, surpassing conventional semantic segmentation models and providing robust quantitative improvements in segmentation accuracy.