ObjectiveTo investigate the potential mechanism of Danggui Buxuetang （DBT） in the treatment of vascular dementia （VAD）. MethodsSixty male SD rats were randomly assigned to the sham-operated group， model group， DBT low-， medium-， and high-dose groups， and the donepezil group. Except for the sham-operated group， rats in all other groups underwent bilateral common carotid artery ligation. After successful modeling， DBT was administered at doses of 9.2， 18.4， 36.8 g·kg^-1 for the low-， medium-， and high-dose groups， respectively， while the donepezil group received 3 mg·kg^-1 donepezil solution by gavage once daily. After 4 consecutive weeks of drug treatment， rats underwent the Morris water maze test， novel object recognition test， Nissl staining to observe hippocampal neurons， and immunofluorescence staining to detect the expression of neuronal nuclear protein （NeuN） in the hippocampus. Western blot was used to assess the expression of PTEN-induced kinase 1 （PINK1）， Parkin， microtubule-associated protein 1 light chain 3Ⅱ （LC3Ⅱ）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax）. Transmission electron microscopy was used to observe hippocampal neuronal ultrastructure. Real-time PCR was used to detect the expression of NADPH oxidase subunits p22^phox and p47^phox in hippocampal tissues. The levels of malondialdehyde （MDA）， glutathione （GSH）， superoxide dismutase （SOD）， and total antioxidant capacity were measured to evaluate oxidative stress levels. ResultsIn the Morris water maze test， escape latency changed significantly over time in all groups except the model group. Compared with the sham-operated group， the model group showed significantly prolonged escape latency （P<0.01）. Compared with the model group， rats in the DBT groups and the donepezil group exhibited significantly shorter escape latency （P<0.05， P<0.01）. The number of crossings over the original platform was significantly reduced in the model group compared with the sham-operated group （P<0.01）， whereas rats in the DBT and donepezil groups showed significantly increased platform crossings compared with the model group （P<0.05， P<0.01）. Compared with the sham-operated group， exploration time of new objects was significantly reduced in the model group （P<0.01）. Compared with the model group， exploration time of new objects increased significantly in the medium- and high-dose DBT groups and the donepezil group （P<0.05， P<0.01）， while no significant change was observed in the low-dose DBT group. Compared with the high-dose DBT group， rats in the donepezil group had significantly prolonged escape latency and reduced platform crossings and new-object exploration time （P<0.05）. Nissl staining showed decreased density of healthy neurons in the CA1 and CA3 regions of the hippocampus in the model group， with loss of Nissl bodies and nuclear atrophy or disappearance. In the high-dose DBT group， neuronal density in CA1 and CA3 increased， with neurons arranged closely and displaying normal morphology. Immunofluorescence showed that compared with the sham-operated group， the hippocampal NeuN⁺ cell count in the VAD model group was significantly decreased（P<0.01）， compared with the VAD model group， the hippocampal NeuN⁺ cell count in the high-dose DBT group was significantly increased（P<0.01）. Compared with the sham-operated group， the expression of PINK1， Parkin， LC3Ⅱ， and Bax proteins was significantly increased（P<0.01）， while the expression of Bcl-2 was significantly decreased in the VAD model group（P<0.01）. Compared with the VAD model group， the high-dose DBT group showed significantly decreased expression of PINK1， Parkin， LC3Ⅱ， and Bax proteins（P<0.01）and significantly upregulated Bcl-2 expression（P<0.01）. The medium-dose DBT group exhibited significantly reduced expression of Parkin， LC3Ⅱ， and Bax proteins（P<0.05，P<0.01） and significantly increased Bcl-2 expression（P<0.01）， while no statistically significant differences were observed in the low-dose DBT group. Transmission electron microscopy showed mitochondrial pyknosis， thickened cristae， increased electron density， and the presence of mitochondrial autophagy in the model group. In contrast， hippocampal neurons in the high-dose DBT group contained abundant mitochondria with intact morphology， clear cristae， and uniform matrix. Compared with the sham-operated group， total antioxidant capacity， SOD activity， and GSH levels were significantly decreased， while MDA levels were significantly increased in the model group （P<0.01）. Compared with the model group， total antioxidant capacity and antioxidant levels （SOD， GSH） increased significantly， and MDA decreased significantly in the medium- and high-dose DBT groups （P<0.01）， while no significant changes were observed in the low-dose DBT group. Compared with the sham-operated group， mRNA expression of p22^phox and p47^phox was significantly increased in the model group （P<0.01）. Compared with the model group， expression of p22^phox and p47^phox was significantly decreased in the DBT groups （P<0.05， P<0.01）. ConclusionDBT may exert neuroprotective effects by regulating PINK1/Parkin-mediated mitochondrial autophagy， thereby improving learning and memory abilities and treating VAD.

ObjectiveTo elucidate the chemical composition of the reference sample of Jinshui Liujunjian and its distribution characteristics in blood and tissues of rats. MethodsUltra performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry（UPLC-Q-TOF-MS/MS） was used to detect the reference sample solution， plasma， and tissue samples of Jinshui Liujunjian under positive and negative ion modes， respectively. Qualitative Analysis 10.0 software and a self-constructed database were employed for primary mass spectrum matching.Compound identification was further validated by comparing retention times， secondary mass spectral fragments， reference standards， and literature data to deduce fragmentation pathways. ResultsA total of 122 compounds were identified in the reference sample of Jinshui Liujunjian， including 47 flavonoids， 5 amino acids， 13 iridoids， 16 triterpenoid saponins， etc.， of which 42 compounds were confirmed by comparison with reference substances. A total of 21 prototype components were identified in blood components； 50 prototype components were identified in different tissues， among which 13， 10， 7， 21， 11， 6， 14， and 40 prototype components were identified in the heart， liver， spleen， lung， kidney， brain， large intestine， and stomach， respectively. Among them， 7 compounds such as ferulic acid， glycyrrhizic acid， and nobiletin were exposed in the target organs of lung and kidney. ConclusionThis study elucidates the material basis of the reference samples of Jinshui Liujunjian， primarily composed of flavonoids and triterpenoid saponins， along with their in vivo distribution characteristics. These findings provide a scientific basis for establishing quality evaluation indicators and offer references for subsequent pharmacodynamic and pharmacokinetic investigations.

ObjectiveTo elucidate the chemical composition of the reference sample of Jinshui Liujunjian and its distribution characteristics in blood and tissues of rats. MethodsUltra performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry（UPLC-Q-TOF-MS/MS） was used to detect the reference sample solution， plasma， and tissue samples of Jinshui Liujunjian under positive and negative ion modes， respectively. Qualitative Analysis 10.0 software and a self-constructed database were employed for primary mass spectrum matching.Compound identification was further validated by comparing retention times， secondary mass spectral fragments， reference standards， and literature data to deduce fragmentation pathways. ResultsA total of 122 compounds were identified in the reference sample of Jinshui Liujunjian， including 47 flavonoids， 5 amino acids， 13 iridoids， 16 triterpenoid saponins， etc.， of which 42 compounds were confirmed by comparison with reference substances. A total of 21 prototype components were identified in blood components； 50 prototype components were identified in different tissues， among which 13， 10， 7， 21， 11， 6， 14， and 40 prototype components were identified in the heart， liver， spleen， lung， kidney， brain， large intestine， and stomach， respectively. Among them， 7 compounds such as ferulic acid， glycyrrhizic acid， and nobiletin were exposed in the target organs of lung and kidney. ConclusionThis study elucidates the material basis of the reference samples of Jinshui Liujunjian， primarily composed of flavonoids and triterpenoid saponins， along with their in vivo distribution characteristics. These findings provide a scientific basis for establishing quality evaluation indicators and offer references for subsequent pharmacodynamic and pharmacokinetic investigations.

A 42-year-old male with chest tightness and dyspnea was admitted to the hospital. Chest CT indicated diffuse interstitial lung infiltration. Despite receiving anti-infective therapy, glucocorticoid therapy, and immunosuppressive agents, the patient developed refractory hypoxaemia. Endotracheal intubation and invasive mechanical ventilation failed to improve oxygenation. Therefore the patient was diagnosed with rapidly progressive interstitial lung disease (RP-ILD) accompanied by type Ⅰ respiratory failure. Veno-venous (VV) extracorporeal membrane oxygenation (ECMO) was initiated, and oxygenation improved in this patient. The patient subsequently underwent bilateral lung transplantation with veno-arterio-venous (VAV) ECMO support. ECMO machine was withdrawn on day 1, and extubation was achieved on day 9 after surgery. Histopathology revealed fibrotic nonspecific interstitial pneumonia (NSIP) with hyaline membrane formation. The patient developed ICU-acquired myasthenia and received early rehabilitation, with gradual recovery of muscle strength. During follow-up, graft lung function remained stable. This case demonstrates that ECMO can serve as a bridge to lung transplantation in RP-ILD patients.

Purpose: Due to the preservation of the entire stomach after endoscopic resection, the occurrence of metachronous gastric cancer (MGC) remains a possibility. In this study, we investigated the incidence and risk factors for MGC in patients with early gastric cancer who underwent endoscopic submucosal dissection (ESD) and successfully eradicatedHelicobacter pylori. Materials and Methods: A retrospective analysis was conducted of 1,191 patients who underwent ESD and successfully eradicated H. pylori at the Affiliated Drum Tower Hospital of Nanjing University. Endoscopic surveillance was performed at 3, 6, and 12 months post-resection, and annually thereafter. MGC was defined as the development of a new cancer at a site other than the primary gastric cancer site, at least 1 year after the initial endoscopic resection. Results: A total of 77 patients were diagnosed with MGC during a median follow-up of 41.5 months. Kaplan-Meier analysis showed a 5-year cumulative incidence of MGC of 9.4% after successful H. pylori eradication. Multivariate analysis of the training set using Cox proportional hazards models identified male sex, severe atrophic gastritis, multiple gastric cancers before H. pylori eradication, and smoking history as independent risk factors for MGC.The nomogram exhibited favorable discrimination, with area under the curves of 0.767 and 0.822 in the training set and 0.724 and 0.745 in the testing set at 3 and 5 years, respectively. Conclusions Patients with gastric cancer who undergo endoscopic resection, even after successful H. pylori eradication, should undergo annual and continuous endoscopic surveillance for MGC.

BACKGROUND: The protective effectiveness of an N95 respirator depends on the filtration efficiency of the material from which the N95 respirator is made of, as well as the wearers' facial fit. The facial fit of an N95 respirator mainly depends on the degree of matching between the wearers' facial dimension characteristics and the N95 respirator. Quantitative fit testing objectively evaluates the fit of N95 respirators; however, it is not easy to promote because of the limitations of testing conditions. The aim of this study is to establish a fit prediction model of N95 respirator based on facial images. METHODS: Facial images and fit factor (FF) value of 5 N95 respirators were gathered from 299 medical staffs in 10 hospitals in Beijing. Face geometry measurement was based on 3D face modelling, and the American TSI-8038 Porta Count Pro+ was used to conduct quantitative fit test. Multiple linear regression analysis was employed to identify facial dimensional features that significantly influenced the fit of N95 respirators. Through matching training of facial image and FF values, a fit prediction model has been established, enabling rapid recommendation of N95 respirators meeting the fit standard via facial image recognition. RESULTS: A fit prediction model for N95 respirators based on facial images has been developed, which enables the rapid recommendation of N95 respirators with acceptable FF value for healthcare personnel. The model demonstrated an accuracy of 55.93%, a precision of 98.43%, a recall of 51.65%, and an F1 score of 0.68. CONCLUSIONS It is feasible to utilize computer-based facial recognition technology to rapidly recommend N95 respirators for medical personnel. Given the high level of accuracy achieved, the model demonstrates significant potential for practical application.
Humans ; Face/anatomy & histology* ; N95 Respirators/standards* ; Male ; Adult ; Female ; Middle Aged ; Beijing

Objective To observe the value of nomogram of ultrasound combined with laboratory indexes for predicting axillary lymph node metastasis(ALNM)of stage cT1N0 breast invasive ductal carcinoma(IDC).Methods A total of 77 cases with pathologically diagnosed stage cT1N0 single breast IDC were retrospectively collected,including 23 cases with and 54 cases without ALNM.Univariate and multivariate binary logistic regression analysis were used to analyze clinical data,laboratory indicators and ultrasonic manifestations,then the independent predictors of ALNM of stage cT1N0 breast IDC were screened to establish laboratory indexes model,ultrasound model and combined model,respectively,and nomogram of the combined model was drawn.Receiver operating characteristic(ROC)curves were plotted to evaluate the predictive efficacy of each model.The consistency of results of combined model and actual results was analyzed using calibration curve.Decision curve analysis(DCA)was used to explore the clinical value of each model.Results Serum carbohydrate antigen 153(CA153)(OR=1.132),platelet-to-lymphocyte ratio(PLR)(OR=1.020)and echo attenuation behind the lesion on ultrasound(OR=8.789)were all independent predictors of ALNM in stage cT1N0 breast IDC(all P＜0.05),and the area under the curve(AUC)of laboratory indexes model,ultrasound model and combined model for predicting ALNM of stage cT1N0 breast IDC was 0.757,0.616 and 0.836,respectively.The consistency of the predicted results of combined model and actual results was good.When the threshold was higher than 0.15,the net benefit of combined model was higher than that of the other 2 models.Conclusion Nomogram of ultrasound combined with laboratory indexes could effectively predict ALNM of stage cT1N0 breast IDC.

Objective:To analyze the dynamic plantar pressure distribution of persons with chronic plantar fasciitis (PF).Methods:Twenty persons with unilateral, chronic PF were recruited as the PF group, while twenty-three healthy counterparts were recruited as the control group. A foot-pressure measurement system was used to collect data describing the plantar pressure for each subject with or without PF while walking. The pressure data included the load of peak plantar pressure (PP), the mean plantar pressure (MP), the total foot ground contact area (TCA), and the load percentage and the foot ground contact area beneath the medial heel (MH), the lateral heel (LH), the medial longitudinal arch (MLA), the lateral longitudinal arch (LLA), the first metatarsal head (M1), the second to third metatarsal heads (M2-3), the fourth to fifth metatarsal heads (M4-5), the hallux (T1), and toes two to five (T2-5).Results:In the PF group, significant differences were observed during walking between the affected and unaffected feet in terms of PP [(2.41±0.44)kg/cm 2 versus (3.02±0.63)kg/cm 2]. Both were significantly greater than among the control group. Asymmetry in the load distribution was identified beneath the MH, M2-3, M1, MLA, M4-5 and T2-5 among the chronic PF group. There were also significant differences between the affected foot of the chronic PF group and the non-dominant foot of the control group with regard to the load percentage beneath the LH, M4-5, T2-5, M2-3 and T1. The load percentage under the LH was significantly higher under the unaffected foot of the PF group than under the dominant foot of the control group. In terms of ground contact area, the T2-5 area of the affected foot of the PF group was significantly smaller than that of the unaffected foot, as well as compared to the non-dominant foot of the control group. The TCA of both feet among the PF group was significantly smaller than under the corresponding feet of the control group. Conclusions:Patients with chronic plantar fasciitis apply plantar pressure asymmetrically during walking. They tend to shift their weight laterally onto the asymptomatic foot. During walking, those with PF apply higher plantar pressure over a smaller ground contact area.

Objective:To develop a nomogram model for predicting the risk of ventilator-associated pneumonia (VAP) in patients with mechanical ventilation (MV) and to validate the stability of the prediction performance of the model.Methods:The patients with MV admitted to the Department of Critical Care Medicine of General Hospital of Ningxia Medical University from January 2019 to December 2022 were retrospectively selected according to the order of admission. The patients with MV were divided into the non-VAP group and the VAP group according to whether VAP occurred. The clinical data of the two groups, including general information, disease, medication, condition, and operation-related indicators were collected as candidate predictors of the model for comparison. Multivariate logistic stepwise forward regression analysis was used to screen the predictors that finally entered the model, and a nomogram model was constructed. The model discrimination was evaluated by the area under the receiver operating characteristic curve (AUC), the diagnostic test results of the model at the predicted threshold were calculated, the Hosmer-Lemeshow test was used to evaluate the model fit, and the Bootstrap resampling was used 1 000 times for internal validation, and model calibration and clinical applicability were evaluated by calibration curve and decision analysis curve, respectively.Results:A total of 1 250 patients with MV were included, including 1 102 patients in the non-VAP group and 148 patients in the VAP group, and the prevalence of VAP was 11.8%. The detection of multidrug-resistant organisms, chronic kidney disease, brain injury, oxygenation index, the place of tracheal intubation, reintubation, use of bronchoscopy, use of antibiotics, and MV duration were model predictors of VAP. The AUC of the nomogram model was 0.917 (95% CI: 0.895-0.939), the maximum Youden index of 0.697 corresponded to a prediction threshold of 0.096. The model accuracy, sensitivity and specificity were 0.836, 0.865, and 0.832, respectively. The positive predictive value and the negative predictive value were 0.409 and 0.979, respectively. The Hosmer- Lemeshow test indicated that the model fit well ( P=0.938). The results of the internal validation of the model showed that the predicted risk of the calibration curve was generally consistent with the actual risk, and the decision threshold probability of the decision analysis curve ranged from 2% to 90%. Conclusions:The nomogram model developed in this study is simple, convenient and has relatively stable prediction performance, which can be externally validated to evaluate the extrapolation of the model, and provide a basis for individualized clinical prediction of the risk of VAP in patients with MV.

Diabetes of the exocrine pancreas(DEP) refers to a complication of diseases of the exocrine pancreas, associated with an increased risk of pancreatic cancer. Recent evidence has indicated that DEP, after type 2 diabetes, has become the second most common type of adults-onset diabetes, with a higher prevalence than type 1 diabetes. DEP is not a single condition but encompasses various exocrine pancreatic disorders that lead to hyperglycemia through different mechanisms, creating significant diagnostic and therapeutic challenges. This review examines the latest research on the risk factors and pathogenesis of DEP, aiming to provide insights to improve its clinical management strategies.