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 compare the safety of laparoscopic pancreatoduodenectomy(LPD)and open pancreatoduodenectomy(OPD)and analyze the learning curve and safety at different stages of LPD.Methods A retrospective analysis was conducted on the clinical data of 50 LPD patients and 54 OPD patients in the Department of Hepatopancreatobiliary Surgery of Suzhou Hospital Affiliated to Nanjing Medical University from January 2020 to June 2024,and intraoperative and postoperative conditions were compared.The Cumulative Sum(CUSUM)analysis method was used to analyze the technical nodes of the LPD learning curve.Results There were no significant differences in operation time and intraoperative blood loss between the LPD group and the OPD group(P＞0.05).There was also no significant difference in the incidence rates of pancreatic fistula(grade B and C),delayed gastric emptying,postoperative bleeding,biliary fistula and intra-abdominal infection between the LPD group and the OPD group(P＞0.05).A time series plot of operation time was drawn based on the patient's operation time and surgical sequence,yielding a fitted curve.Curve analysis showed initial stage and stable stage were finished at the 17th and 24th cases.The LPD learning curve could be divided into three stages:stage Ⅰ characterized as the initial stage(cases 1 to 17),stage Ⅱ characterized as the stable stage(cases 18 to 24),and stage Ⅲ characterized as the proficient stage(cases 25 to 50).The operation time in stages Ⅱ and Ⅲ was significantly shorter than that in stage Ⅰ,and the intraoperative blood loss in stage Ⅰ was significantly higher than that in stage Ⅲ(P＜0.05).There was no significant difference in the incidence of complications among the three stages(P＞0.05).Conclusion LPD and OPD show no significant differences in indications and safety.The LPD learning curve can be divided into three stages.As the number of surgeries completed increa-ses,the operation time of physicians gradually shortens,and the incidence of complications of patients gradually decreases.

Objective To investigate the spatial distribution patterns and environmental determinants of Lagotis brachystachya Maxim.,a keystone species in Tibetan medicine("Zhi Da Sa Zeng"),under contemporary climatic conditions in China;To provide references for the sustainable utilization of its resources and the ecological protection of alpine grassland areas.Methods Based on the maximum entropy model,the selected species distribution data and environmental factors were added to MaxEnt 4.3.1 software for modeling.The geographical detector was applied to quantify the factors influencing the spatial differentiation of the suitable areas,employing both factor detection and interaction detection functionalities.Additionally,an overlay analysis with land cover types was conducted to quantify the distribution characteristics of grassland within the potential suitable areas for Lagotis brachystachya Maxim..Results Under the current climatic conditions,dominant environmental drivers included elevation,monthly average temperature difference between day and night,average precipitation in June,wind speed in September,solar radiation in August,average precipitation in May,average precipitation in October,among which elevation demonstrated the strongest explanatory power(q=0.37)in habitat suitability analysis.The model prediction results showed that the potential suitable area for Lagotis brachystachya Maxim.was 5.31×105 km2.Considering the type of surface coverage,the main suitable habitat for Lagotis brachystachya Maxim.was grassland,with an area of 4.34×105 km2.The high suitable grassland of areas were mainly distributed in Qinghai Province(Yushu Tibetan Autonomous Prefecture,Huangnan Tibetan Autonomous Prefecture,Golog Tibetan Autonomous Prefecture,Hainan Tibetan Autonomous Prefecture,Haibei Tibetan Autonomous Prefecture),Sichuan Province(Ganzi Tibetan Autonomous Prefecture,Aba Qiang Autonomous Prefecture),Xizang Autonomous Region(Naqu City,Shigatse City,Changdu City),and Gansu Province(Gannan Tibetan Autonomous Prefecture).Conclusion This study can provide references for the protection of wild resources and the selection of domestication and cultivation areas for Lagotis brachystachya Maxim..

Objective:To investigate the efficacy of blepharoplasty using the "double-line technique" in addressing upper eyelid skin laxity in middle-aged and elderly patients.Methods:A retrospective analysis was conducted on the clinical data of middle-aged and elderly patients with moderate to severe upper eyelid skin laxity who were admitted to the Plastic Surgery Department of Shaanxi Provincial People’s Hospital between January 2020 and January 2023. The same surgeon performed the "double-line" blepharoplasty to excise excess upper eyelid skin for laxity correction. Patients were positioned flat with their eyes closed; an arcuate line a (5-7 mm above the pupil) and a second line b (aligned with the eyelid margin in an upright position) were marked. The skin between these two lines was excised. Postoperatively, the double eyelid shape, improvement in skin laxity, adverse reactions, and patient satisfaction (categorized as satisfied, basically satisfied, unsatisfied) were assessed.Results:A total of 145 patients were included in the study, comprising 27 males and 118 females. Their ages ranged from 38 to 78 years, with an average age of 52 years. All patients’ incisions healed primarily without complications such as hematoma and infection. During the 3 to 12 months of follow-up after surgery, the double eyelid arcs on both sides appeared symmetrical and natural. The upper eyelid laxity was effectively corrected, obscured vision was improved, crow’s feet were reduced, and the periorbital area was rejuvenated. Patient satisfaction with the surgical results was high, with 112 patients reporting satisfaction, 25 reporting basically satisfied, and 8 reporting dissatisfaction. The overall satisfaction rate reached 94.48%(137/145). Among those dissatisfied, 6 cases cited the double eyelid crease as being too narrow, and 2 cases noted asymmetry in the double eyelid crease.Conclusion:The "double-line method" for blepharoplasty is straightforward to perform and effectively removes excess upper eyelid skin. It is suitable for middle-aged and elderly patients with moderate to severe upper eyelid skin laxity, resulting in favorable surgical outcomes.

Objective To investigate the spatial distribution patterns and environmental determinants of Lagotis brachystachya Maxim.,a keystone species in Tibetan medicine("Zhi Da Sa Zeng"),under contemporary climatic conditions in China;To provide references for the sustainable utilization of its resources and the ecological protection of alpine grassland areas.Methods Based on the maximum entropy model,the selected species distribution data and environmental factors were added to MaxEnt 4.3.1 software for modeling.The geographical detector was applied to quantify the factors influencing the spatial differentiation of the suitable areas,employing both factor detection and interaction detection functionalities.Additionally,an overlay analysis with land cover types was conducted to quantify the distribution characteristics of grassland within the potential suitable areas for Lagotis brachystachya Maxim..Results Under the current climatic conditions,dominant environmental drivers included elevation,monthly average temperature difference between day and night,average precipitation in June,wind speed in September,solar radiation in August,average precipitation in May,average precipitation in October,among which elevation demonstrated the strongest explanatory power(q=0.37)in habitat suitability analysis.The model prediction results showed that the potential suitable area for Lagotis brachystachya Maxim.was 5.31×105 km2.Considering the type of surface coverage,the main suitable habitat for Lagotis brachystachya Maxim.was grassland,with an area of 4.34×105 km2.The high suitable grassland of areas were mainly distributed in Qinghai Province(Yushu Tibetan Autonomous Prefecture,Huangnan Tibetan Autonomous Prefecture,Golog Tibetan Autonomous Prefecture,Hainan Tibetan Autonomous Prefecture,Haibei Tibetan Autonomous Prefecture),Sichuan Province(Ganzi Tibetan Autonomous Prefecture,Aba Qiang Autonomous Prefecture),Xizang Autonomous Region(Naqu City,Shigatse City,Changdu City),and Gansu Province(Gannan Tibetan Autonomous Prefecture).Conclusion This study can provide references for the protection of wild resources and the selection of domestication and cultivation areas for Lagotis brachystachya Maxim..

Objective:To investigate the efficacy of blepharoplasty using the "double-line technique" in addressing upper eyelid skin laxity in middle-aged and elderly patients.Methods:A retrospective analysis was conducted on the clinical data of middle-aged and elderly patients with moderate to severe upper eyelid skin laxity who were admitted to the Plastic Surgery Department of Shaanxi Provincial People’s Hospital between January 2020 and January 2023. The same surgeon performed the "double-line" blepharoplasty to excise excess upper eyelid skin for laxity correction. Patients were positioned flat with their eyes closed; an arcuate line a (5-7 mm above the pupil) and a second line b (aligned with the eyelid margin in an upright position) were marked. The skin between these two lines was excised. Postoperatively, the double eyelid shape, improvement in skin laxity, adverse reactions, and patient satisfaction (categorized as satisfied, basically satisfied, unsatisfied) were assessed.Results:A total of 145 patients were included in the study, comprising 27 males and 118 females. Their ages ranged from 38 to 78 years, with an average age of 52 years. All patients’ incisions healed primarily without complications such as hematoma and infection. During the 3 to 12 months of follow-up after surgery, the double eyelid arcs on both sides appeared symmetrical and natural. The upper eyelid laxity was effectively corrected, obscured vision was improved, crow’s feet were reduced, and the periorbital area was rejuvenated. Patient satisfaction with the surgical results was high, with 112 patients reporting satisfaction, 25 reporting basically satisfied, and 8 reporting dissatisfaction. The overall satisfaction rate reached 94.48%(137/145). Among those dissatisfied, 6 cases cited the double eyelid crease as being too narrow, and 2 cases noted asymmetry in the double eyelid crease.Conclusion:The "double-line method" for blepharoplasty is straightforward to perform and effectively removes excess upper eyelid skin. It is suitable for middle-aged and elderly patients with moderate to severe upper eyelid skin laxity, resulting in favorable surgical outcomes.

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 In this study,we analyzed the transcriptome sequences of Kupffer cells exposed to simulated microgravity for 3 d and conducted biological experiments to determine how microgravity initiates apoptosis in Kupffer cells. Methods Rotary cell culture system was used to construct a simulated microgravity model.GO and KEGG analyses were conducted using the DAVID database.GSEA was performed using the R language.The STRING database was used to conduct PPI analysis.qPCR was used to measure the IL1B,TNFA,CASP3,CASP9,and BCL2L11 mRNA expressions.Western Blotting was performed to detect the level of proteins CASP3 and CASP 9.Flow cytometry was used to detect apoptosis and mitochondrial membrane cells.Transmission electron microscopy was used to detect changes in the ultrastructure of Kupffer cells. Results Transcriptome Sequencing indicated that simulated microgravity affected apoptosis and the inflammatory state of Kupffer cells.Simulated microgravity improved the CASP3,CASP9,and BCL2L11 expressions in Kupffer cells.Annexin-V/PI and JC-1 assays showed that simulated microgravity promoted apoptosis in Kupffer cells.Simulated microgravity causes M1 polarization in Kupffer cells. Conclusion Our study found that simulated microgravity facilitated the apoptosis of Kupffer cells through the mitochondrial pathway and activated Kupffer cells into M1 polarization,which can secrete TNFA to promote apoptosis.

Objective The advantages of the treating allergic rhinitis (AR) by sphenopalatine ganglion stimulation with acupuncture were evaluated.Methods Databases including CBMDisk, CNKI, WanFang, VIP, Cochrane Library, PubMed, ProQuest, ChiCTR, ISRCTN, ClinicalTrials.gov and CENTRAL were searched from the beginning of database established to Jan 2015. All issues from Jan 2004 to Jan 2015 published onjournals Chinese Acupuncture & Moxibustion,Shanghai Journal of Acupuncture and Moxibustion, Acupuncture Research,Journal of Clinical Acupuncture and Moxibustion,Chinese Journal of Integrated Traditional and Western Medicine and Chinese Journal of Otorhinolaryngology in Integrative Medicine were searched by hand at meantime. All data were extracted based on the inclusive and exclusive criteria which was pre-designed, the Revman5.3 was applied for meta-analysis, and the studies qualities were analyzed by grade score.Results 118 articles were collected, 7 studies that involving 1 230 patients met the inclusive criteria. The result indicated that the sphenopalatine ganglion stimulation with acupuncture as the main treatment of AR showed the better total response rate compared to conventional drugs, theOR(95%CI) was 3.22(1.81 - 5.75); however the change of total symptom score had no statistical significant difference, the MD(95%CI) was 0.69 (-0.56 - 1.93), the change of IgE had no statistical significant difference,theSMD(95%CI) was -0.07 (-0.97 - 0.83).Conclusion The main treatment on AR by sphenopalatine ganglion stimulation with acupuncture may has better efficacy than western medicine. But due to the methodological biases existed in most studies, future high-quality RCTs were needed to be included into Meta-analysis to test today’s study conclusion.

AIM:To investigate the effect of oleuropein on interleukin-1β( IL-1β)-induced SD rat articular chondrocytes .METHODS:The SD rat articular chondrocytes were isolated by 2 step enzyme digestions .The chondrocytes were cultured in vitro.Inverted microscopic observation was performed during the culture .Alcian blue staining and type II collagen immunohistochemical staining were used to identify the chondrocytes .The effects of oleuropein on the viability of chondrocytes were determined by CCK-8 assay.The cells in 3rd passage were pretreated with oleuropein at 10, 50 or 100 μmol/L and subsequently stimulated with IL-1βat 10 μg/L for 24 h.Production of prostaglandin E 2 ( PGE2 ) and ni-tric oxide (NO) were evaluated by the Griess reaction and an enzyme linked immunosorbent assay (ELISA).The mRNA expression of matrix metalloproteinase ( MMP)-1 and MMP-13 was measured by real-time PCR.The protein levels of in-ducible nitric oxide synthase (iNOS), cyclooxygenase-2 (COX-2) and nuclear factor-kappa B (NF-κB) were detected by Western blotting .RESULTS:The cell viability of chondrocytes was not significantly impaired by treating with oleuropein at concentration of 10, 50 or 100μmol/L for 24 h compared with control group .Pretreatment with oleuropein significantly in-hibited the production of PGE 2 and NO induced by IL-1β.Oleuropein also significantly decreased the IL-1β-stimulated MMP-1 and MMP-13 mRNA expression in articular chondrocytes .Pretreatment with oleuropein inhibited the IL-1β-media-ted activation of NF-κB by suppressing the degradation of its inhibitory protein IκBαin the cytoplasm .CONCLUSION:Oleuropein inhibits IL-1β-induced inflammatory gene expression by suppressing NF-κB activation at the transcriptional le-vel, suggesting a new mechanism for the anti-inflammatory effects of oleuropein as a novel agent on treating with osteoarthri-tis.