BACKGROUND: Early control of low-density lipoprotein cholesterol (LDL-C) is crucial for reducing the progress of cardiovascular disease. However, its additional role to the risk of primary osteoporosis in men with coronary heart disease was inconclusive. Our study aims to determine the association of LDL-C and its trajectories for osteoporosis risk in the middle-aged and aged men of China. METHODS: The retrospective cohort study of 1546 men aged 69.74 ± 11.30 years conducted in Beijing, China from 2015 to 2022. And the incidence of primary osteoporosis was annually recorded. LDL-C trajectories were further identified by latent class growth model using repeated measurements of LDL-C. The association of baseline LDL-C for osteoporosis was estimated using hazard ratio (HR) with 95% CI in Cox proportional hazard model, while mean level and trajectories of LDL-C for osteoporosis were evaluated using odds ratio (OR) with 95% CI in logistic regression model. RESULTS: During the median 6.2-year follow-up period, 70 men developed primary osteoporosis. The higher level of baseline LDL-C (HR = 1.539, 95% CI: 1.012-2.342) and mean LDL-C (OR = 2.190, 95% CI: 1.443-3.324) were associated with higher risk of osteoporosis in men with coronary heart disease after adjusted for covariates. Compared with those in the LDL-C trajectory of low-stable decrease, participants with medium-fluctuant trajectory, whose longitudinal LDL-C started with a medium LDL-C level and appeared an increase and then decrease, were negatively associated with osteoporosis risk (OR = 2.451, 95% CI: 1.152-5.216). And participants with initially high LDL-C level and then a rapid decrease demonstrated a tendency towards reduced risk (OR = 0.718, 95% CI: 0.212-2.437). CONCLUSIONS Elevated LDL-C level and its long-term fluctuation may increase the risk of primary osteoporosis in men. Early controlling a stable level of LDL-C is also essential for bone health.

Objective:To construct a prediction model for postoperative poor in-hospital prognosis in patients with traumatic brain injury (TBI) and evaluate its predictive performance.Methods:A retrospective case control study was conducted to analyze the clinical data of 1 120 TBI patients admitted to Changde Hospital Affiliated to Xiangya Medical College of Central South University from May 2019 to December 2024. The patients were divided into the training set ( n=784) and verification set ( n=336) at a ratio of 7∶3. Based on the Glasgow outcome scale-extended (GOS-E) at discharge, the training set was stratified into favorable prognosis group ( n=335, GOS-E 5-8 points) and poor prognosis group ( n=449, GOS-E 1-4 points). The two groups in the training set were compared in terms of general baseline indicators, TBI-related clinical indicators, and admission laboratory blood test results. Univariate analysis and Lasso regression analysis were employed to screen risk factors associated with postoperative poor in-hospital prognosis in TBI patients. Multivariate Logistic regression analysis was used to determine independent risk factors and construct a regression equation. The regression equation was presented using R language to create a visual nomogram for predicting postoperative poor in-hospital prognosis in TBI patients. In both the training set and verification set, the predictive performance of the model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve (AUC), plotting calibration curves, and performing decision curve analysis (DCA). Results:The results of the univariate analysis indicated that the age, Charlson complication index (CCI), time from trauma to admission, time from trauma to operation, cause of injury, abbreviated injury scale (AIS) (head and neck), injury severity score (ISS), admission Glasgow coma scale (GCS), admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraventricular hemorrhage, subarachnoid hemorrhage, decompressive craniotomy, intraoperative blood loss, intraoperative blood transfusion, traumatic cerebral infarction, postoperative delayed bleeding, epilepsy seizures, as well as the following admission tested results including red blood cell count, white blood cell count, platelet count, neutrophil percentage, percentage of lymphocytes, albumin, total bilirubin, urea nitrogen, thrombin time (TT), prothrombin time (PT), international standardized ratio (INR), glutamic aminotransferase, alanine aminotransferase, creatinine, and blood glucose were statistically different between the two groups in the training set ( P<0.05). Lasso regression analysis suggested 14 risk factors of age, CCI, cause of injury, head and neck AIS, ISS, admission GCS, admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraoperative blood loss, admission platelet count, admission albumin, admission blood glucose for postoperative poor in-hospital prognosis. The results of the multivariate Logistic regression analysis showed that age ( OR=1.02, 95% CI 1.00, 1.03, P<0.01), CCI ( OR=1.46, 95% CI 1.02, 2.09, P<0.05), head and neck AIS ( OR=1.43, 95% CI 1.11, 1.85, P<0.01), ISS ( OR=2.16, 95% CI 1.39, 3.35, P<0.01), admission GCS ( OR=1.59, 95% CI 1.19, 2.13, P<0.01), intracerebral hematoma ( OR=4.41, 95% CI 2.15, 9.44, P<0.01), intraoperative blood loss ( OR=1.05, 95% CI 1.00, 1.09, P<0.05), admission platelet count ( OR=0.98, 95% CI 0.97, 0.99, P<0.01), admission blood glucose ( OR=1.08, 95% CI 1.02, 1.15, P<0.05) could be the main risk factors to construct a prediction model for postoperative poor in-hospital prognosis in TBI patients. Meanwhile, a regression equation was constructed: Logit[ P/(1- P)]=-2.4+ 0.02×"age"+0.38×"CCI"+0.36×"head and neck AIS"+0.77×"ISS"+0.47×"admission GCS"+1.48×"intracerebral hematoma"+0.05×intraoperative blood loss-0.02×admission platelet count+0.08×admission blood glucose. In the training set, the predictive model for poor postoperative in-hospital prognosis in TBI patients achieved an AUC of 0.87 (95% CI 0.84, 0.89), with a Youden′s index of 0.57, sensitivity of 73.70%, and specificity of 83.00%. In the verification set, the model showed an AUC of 0.80 (95% CI 0.76, 0.85), with a Youden′s index of 0.63, sensitivity of 65.20%, and specificity of 77.90%. In the training set, the Brier score for the calibration curve was 0.14 (95% CI 0.13, 0.16). In the verification set, the Brier score for the calibration curve was 0.18 (95% CI 0.15, 0.20). The DCA diagram indicated that the nomogram prediction model provided high clinical net benefit for predicting postoperative poor in-hospital prognosis in TBI patients. Conclusion:The prediction model for postoperative poor in-hospital prognosis in TBI patients, constructed based on age, CCI, head and neck AIS, ISS, admission GCS, intracerebral hematoma, intraoperative blood loss, admission platelet count, and admission blood glucose, exhibits good predictive performance.

Objective To investigate the impacts of epidural anesthesia with ropivacaine combined with dezocine on lower limb motor nerve block and maternal and infant outcomes in primipara undergoing painless delivery.Methods A total of 159 primiparas who delivered in Nanjing Jiangbei Hospital were selected as the research objects,and divided into the blank group(53 cases),the ropivacaine group(53 cases)and the combined group(53 cases)by the random number table method.Parturients in the blank group were given natural delivery mode,parturients in the ropivacaine group were given ropivacaine epidural anesthesia,and parturients in the combined group were given dezocine anesthesia on the basis of ropivacaine.Analgesic effect at different time points,time of the first,second and third stage of labor,pressing times of analgesic pump,lower limbs motor nerve block,maternal and infant outcomes,and adverse reactions of parturients were compared among the three groups.Results At 10 minutes after analgesia,60 minutes after analgesia,when the cervix was fully dilated and when the fetus was delivered,the VAS scores of the parturients in the ropivacaine group and the combined group were lower than those in the blank group(P<0.05),and the VAS scores of the parturients in the combined group were significantly lower than those in the ropivacaine group(P<0.05).There was no significant difference in the time of the first,second or third stage of labor of parturients among the three groups(P>0.05);The pressing times of analgesic pump of parturients in the combined group was significantly less than that in the ropivacaine group(P<0.05).There was no statistically significant difference in terms of low limb motor nerve block after painless labor of parturients among the three groups(P>0.05).There were no statistically significant differences in the perineal incision rate or the Apgar scores of newborns at 1 minute and 5 minutes after birth among the three groups(P>0.05).The usage rate of forceps and the rate of conversion to cesarean section in the combined group were significantly lower than those in the ropivacaine group and the blank group(P<0.05).There was no statistically significant difference in the incidence of total adverse reactions among the blank group,the ropivacaine group and the combined group(P>0.05).Conclusion The combination of ropivacaine and dezocine for epidural anesthesia has a better analgesic effect on primiparas with painless delivery,has a smaller impact on lower limb motor nerve block in parturients,and can achieve better maternal and infant outcomes.

Objective To investigate the impacts of epidural anesthesia with ropivacaine combined with dezocine on lower limb motor nerve block and maternal and infant outcomes in primipara undergoing painless delivery.Methods A total of 159 primiparas who delivered in Nanjing Jiangbei Hospital were selected as the research objects,and divided into the blank group(53 cases),the ropivacaine group(53 cases)and the combined group(53 cases)by the random number table method.Parturients in the blank group were given natural delivery mode,parturients in the ropivacaine group were given ropivacaine epidural anesthesia,and parturients in the combined group were given dezocine anesthesia on the basis of ropivacaine.Analgesic effect at different time points,time of the first,second and third stage of labor,pressing times of analgesic pump,lower limbs motor nerve block,maternal and infant outcomes,and adverse reactions of parturients were compared among the three groups.Results At 10 minutes after analgesia,60 minutes after analgesia,when the cervix was fully dilated and when the fetus was delivered,the VAS scores of the parturients in the ropivacaine group and the combined group were lower than those in the blank group(P<0.05),and the VAS scores of the parturients in the combined group were significantly lower than those in the ropivacaine group(P<0.05).There was no significant difference in the time of the first,second or third stage of labor of parturients among the three groups(P>0.05);The pressing times of analgesic pump of parturients in the combined group was significantly less than that in the ropivacaine group(P<0.05).There was no statistically significant difference in terms of low limb motor nerve block after painless labor of parturients among the three groups(P>0.05).There were no statistically significant differences in the perineal incision rate or the Apgar scores of newborns at 1 minute and 5 minutes after birth among the three groups(P>0.05).The usage rate of forceps and the rate of conversion to cesarean section in the combined group were significantly lower than those in the ropivacaine group and the blank group(P<0.05).There was no statistically significant difference in the incidence of total adverse reactions among the blank group,the ropivacaine group and the combined group(P>0.05).Conclusion The combination of ropivacaine and dezocine for epidural anesthesia has a better analgesic effect on primiparas with painless delivery,has a smaller impact on lower limb motor nerve block in parturients,and can achieve better maternal and infant outcomes.

Objective To systematically review and analyze the characteristics and current status of registered clinical trials on Traditional Chinese Medicine(TCM)for the prevention and treatment of overweight/obesity.Methods We conducted a comprehensive search of two primary clinical trial registration platforms,the Chinese Clinical Trial Registry and ClinicalTrials.gov,to extract registered information on TCM interventions for overweight/obesity.The search period spanned from the establishment of each registry to December 31,2024.Statistical analysis was performed on the extracted registration data.Results A total of 226 clinical studies were included,with a cumulative sample size of 25165 participants.The annual registration volume exhibited a significant upward trend.The majority of studies were interventional in design,with primary outcome measures focusing on anthropometric and metabolic indicators.Notably,only two trials fully met the international standards for clinical trial registration as outlined by the World Health Organization(WHO).Conclusion A quality assessment of the overall registration data revealed that the quality of trial registrations remains suboptimal.Issues such as inadequate standardization,transparency,and comprehensiveness were identified.Additionally,the geographical distribution of registered trials was uneven,and there is an urgent need to refine outcome measures related to TCM syndrome differentiation.

Objective To systematically review and analyze the characteristics and current status of registered clinical trials on Traditional Chinese Medicine(TCM)for the prevention and treatment of overweight/obesity.Methods We conducted a comprehensive search of two primary clinical trial registration platforms,the Chinese Clinical Trial Registry and ClinicalTrials.gov,to extract registered information on TCM interventions for overweight/obesity.The search period spanned from the establishment of each registry to December 31,2024.Statistical analysis was performed on the extracted registration data.Results A total of 226 clinical studies were included,with a cumulative sample size of 25165 participants.The annual registration volume exhibited a significant upward trend.The majority of studies were interventional in design,with primary outcome measures focusing on anthropometric and metabolic indicators.Notably,only two trials fully met the international standards for clinical trial registration as outlined by the World Health Organization(WHO).Conclusion A quality assessment of the overall registration data revealed that the quality of trial registrations remains suboptimal.Issues such as inadequate standardization,transparency,and comprehensiveness were identified.Additionally,the geographical distribution of registered trials was uneven,and there is an urgent need to refine outcome measures related to TCM syndrome differentiation.

Objective:To construct a prediction model for postoperative poor in-hospital prognosis in patients with traumatic brain injury (TBI) and evaluate its predictive performance.Methods:A retrospective case control study was conducted to analyze the clinical data of 1 120 TBI patients admitted to Changde Hospital Affiliated to Xiangya Medical College of Central South University from May 2019 to December 2024. The patients were divided into the training set ( n=784) and verification set ( n=336) at a ratio of 7∶3. Based on the Glasgow outcome scale-extended (GOS-E) at discharge, the training set was stratified into favorable prognosis group ( n=335, GOS-E 5-8 points) and poor prognosis group ( n=449, GOS-E 1-4 points). The two groups in the training set were compared in terms of general baseline indicators, TBI-related clinical indicators, and admission laboratory blood test results. Univariate analysis and Lasso regression analysis were employed to screen risk factors associated with postoperative poor in-hospital prognosis in TBI patients. Multivariate Logistic regression analysis was used to determine independent risk factors and construct a regression equation. The regression equation was presented using R language to create a visual nomogram for predicting postoperative poor in-hospital prognosis in TBI patients. In both the training set and verification set, the predictive performance of the model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve (AUC), plotting calibration curves, and performing decision curve analysis (DCA). Results:The results of the univariate analysis indicated that the age, Charlson complication index (CCI), time from trauma to admission, time from trauma to operation, cause of injury, abbreviated injury scale (AIS) (head and neck), injury severity score (ISS), admission Glasgow coma scale (GCS), admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraventricular hemorrhage, subarachnoid hemorrhage, decompressive craniotomy, intraoperative blood loss, intraoperative blood transfusion, traumatic cerebral infarction, postoperative delayed bleeding, epilepsy seizures, as well as the following admission tested results including red blood cell count, white blood cell count, platelet count, neutrophil percentage, percentage of lymphocytes, albumin, total bilirubin, urea nitrogen, thrombin time (TT), prothrombin time (PT), international standardized ratio (INR), glutamic aminotransferase, alanine aminotransferase, creatinine, and blood glucose were statistically different between the two groups in the training set ( P<0.05). Lasso regression analysis suggested 14 risk factors of age, CCI, cause of injury, head and neck AIS, ISS, admission GCS, admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraoperative blood loss, admission platelet count, admission albumin, admission blood glucose for postoperative poor in-hospital prognosis. The results of the multivariate Logistic regression analysis showed that age ( OR=1.02, 95% CI 1.00, 1.03, P<0.01), CCI ( OR=1.46, 95% CI 1.02, 2.09, P<0.05), head and neck AIS ( OR=1.43, 95% CI 1.11, 1.85, P<0.01), ISS ( OR=2.16, 95% CI 1.39, 3.35, P<0.01), admission GCS ( OR=1.59, 95% CI 1.19, 2.13, P<0.01), intracerebral hematoma ( OR=4.41, 95% CI 2.15, 9.44, P<0.01), intraoperative blood loss ( OR=1.05, 95% CI 1.00, 1.09, P<0.05), admission platelet count ( OR=0.98, 95% CI 0.97, 0.99, P<0.01), admission blood glucose ( OR=1.08, 95% CI 1.02, 1.15, P<0.05) could be the main risk factors to construct a prediction model for postoperative poor in-hospital prognosis in TBI patients. Meanwhile, a regression equation was constructed: Logit[ P/(1- P)]=-2.4+ 0.02×"age"+0.38×"CCI"+0.36×"head and neck AIS"+0.77×"ISS"+0.47×"admission GCS"+1.48×"intracerebral hematoma"+0.05×intraoperative blood loss-0.02×admission platelet count+0.08×admission blood glucose. In the training set, the predictive model for poor postoperative in-hospital prognosis in TBI patients achieved an AUC of 0.87 (95% CI 0.84, 0.89), with a Youden′s index of 0.57, sensitivity of 73.70%, and specificity of 83.00%. In the verification set, the model showed an AUC of 0.80 (95% CI 0.76, 0.85), with a Youden′s index of 0.63, sensitivity of 65.20%, and specificity of 77.90%. In the training set, the Brier score for the calibration curve was 0.14 (95% CI 0.13, 0.16). In the verification set, the Brier score for the calibration curve was 0.18 (95% CI 0.15, 0.20). The DCA diagram indicated that the nomogram prediction model provided high clinical net benefit for predicting postoperative poor in-hospital prognosis in TBI patients. Conclusion:The prediction model for postoperative poor in-hospital prognosis in TBI patients, constructed based on age, CCI, head and neck AIS, ISS, admission GCS, intracerebral hematoma, intraoperative blood loss, admission platelet count, and admission blood glucose, exhibits good predictive performance.

Objective:To identify the CDYL-interacting proteins in murine testis and investigate the mechanism of CDYL in-volved in spermatogenesis.Methods:CDYL-interacting partners in testis were identified using co-immunoprecipitation coupled with liquid chromatography-tandem mass spectrometry(LC-MS/MS).Expression pattern of CDYL-interacting protein MYH9 was analyzed through immunohistochemistry(IHC),confocal immunofluorescence(IF)and Western blot(WB)in mouse testicular cells.The effect of the Cdyl conditional knockout(CdylcKO)in spermatogenic cell on Myh9 expression was quantified via RT-qPCR,WB and IF imaging in both spermatids and spermatozoa from cauda epididymides.Results:Direct interaction between MYH9 and CDYL was confirmed in murine testis.During spermiogenesis,MYH9 exhibited co-localization with CDYL at the manchette structure,and binding to F-ACTIN,the component of manchette.In cauda epididymal spermatozoa,MYH9 signal concentrated on acrosomal region and con-tinuously distributed along the tail length.Conditional deletion of Cdyl in spermatogenic cell resulted in the transcriptional downregula-tion of Myh9.In spermatids,CdylcKO led to reduced but retained MYH9 localization to the disorganized manchette structure.In sperma-tozoa from CdylcKO mice,abnormalities of MYH9 localization were observed,including attenuation of acrosomal signal and/or partial vanishment/enhancement of tail signal.Conclusion:In murine spermatids,MYH9 protein is localized to the manchette structure,with its expression and subcellular distribution is affected by CDYL protein.CDYL-MYH9 interaction is essential for the spermiogenesis.

This study rapidly identified and quantified the chemical components of the Wuzhuyu Decoction nanophase(WZYD-N) and suspension phase(WZYD-S) using ultra-high performance liquid chromatography coupled with triple quadrupole mass spectrometry(UPLC-QQQ-MS/MS). Based on preliminary pharmacodynamic experiments and network pharmacology analysis, the differential anti-inflammatory and analgesic activities of WZYD-N and WZYD-S were explored to understand their pharmacodynamic basis. WZYD-N and WZYD-S were separated by differential centrifugation-dialysis, and their particle size, Zeta potential, PDI, and morphology were characterized by dynamic light scattering and transmission electron microscopy. A method was established to quantify 23 representative components of WZYD using UPLC-QQQ-MS/MS, clarifying the differences in component content between the two phases. The anti-inflammatory and analgesic activities of WZYD-N and WZYD-S were preliminarily investigated using the acetic acid-induced enhanced capillary permeability inflammation model and the acetic acid writhing pain model. Network pharmacology was applied to screen the key anti-inflammatory and analgesic targets and active components of WZYD, and the relationship between the components and pharmacodynamics of WZYD-N and WZYD-S was analyzed based on quantitative results. The results showed that WZYD-N primarily consisted of spherical self-assembled aggregates around 200 nm, with a PDI of approximately 0.299 and a zeta potential of-22.1 mV. With an equivalent amount of crude drugs, obacunone and dihydroevocarpine were quantified in equal amounts in WZYD-N and WZYD-S. The content of rutaecarpine, evocarpine, rutaevine, limonin, and ginsenoside Ro was higher in WZYD-S, while 15 other components, including evodiamine, dehydroevodiamine, ginsenoside Re, 6-gingerol, and ginsenoside Rg_1, were higher in WZYD-N. Moreover, 6-dehydrogingerdione was low in both WZYD-N and WZYD-S. Preliminary pharmacodynamic experiments showed that WZYD-N could reduce the number of writhing responses and inhibit pain responses induced by acetic acid in mice, exhibiting analgesic effects similar to the WZYD group. WZYD-S could reduce the absorbance value of the intraperitoneal lavage fluid in mice, exhibiting anti-inflammatory effects comparable to the WZYD group. Network pharmacology analysis indicated that dehydroevodiamine, rutaecarpine, 6-gingerol, and ginsenoside Rg_1 might be the analgesic active components of WZYD, and limonin, rutaevine, and ginsenoside Ro might be the anti-inflammatory active components of WZYD. This study proposed a novel strategy for elucidating the pharmacodynamic basis of WZYD and innovating classical formulas.
Animals ; Analgesics/pharmacology* ; Drugs, Chinese Herbal/pharmacology* ; Mice ; Anti-Inflammatory Agents/pharmacology* ; Male ; Chromatography, High Pressure Liquid ; Tandem Mass Spectrometry ; Pain/drug therapy* ; Humans

Objective To understand the current situation of healthcare-associated infection(HAI)and communi-ty-associated infection(CAI)in medical institutions in Wuhan City,and analyze the epidemic trend and key manage-ment of HAI.Methods The combination of medical record and bedside survey was adopted to conduct a survey ac-cording to the table of cross-sectional survey formulated by National HAI Monitoring and Management Training Base.Survey data from 2016,2018,and 2020 were analyzed.Results HAI prevalence rates in Wuhan City in 2016,2018,and 2020 were 2.66％,2.21％,and 1.85％,respectively.CAI prevalence rates were 17.81％,17.82％,and 16.29％,respectively.Both showed decreasing trends(both P＜0.05).Departments with high pre-valence rates of HAI were the intensive care unit(ICU),departments(groups)of hematology,neurosurgery,tho-racic surgery,and pediatric neonatal.Departments with high prevalence rates of CAI were the departments(groups)of pediatric non-neonatal,respiratory diseases,infectious diseases,general ICU,and pediatric neonatal.The main infection sites of HAI and CAI were lower respiratory tract.The proportions of postoperative HAI at lower respiratory tract in 2016,2018,and 2020 were 12.85％,18.39％,and 22.09％,respectively.HAI rates at surgical site in 2016,2018,and 2020 were 0.99％,0.82％,and 0.69％,respectively.HAI and CAI were mainly caused by Gram-negative bacteria.Conclusion The management of HAI in medical institutions in Wuhan City in 2016,2018,and 2020 have made achievements.However,infection control in general ICU and of HAI at lower respiratory tract still need to be strengthened and improved.