Parkinson's disease （PD） is a neurodegenerative disorder primarily characterized by motor dysfunction. Traditionally， its main clinical features include resting tremor， muscular rigidity， bradykinesia， and postural balance disorders. However， an increasing number of studies have shown that its non-motor symptoms （NMS） exert an even greater impact on patients' quality of life than motor symptoms， severely affecting daily functioning and increasing the burden on families and society. Among these， depression is one of the most common and most debilitating NMS， with statistics indicating that the incidence of depression among PD patients reaches as high as 40%-50%. The pathological mechanisms are complex， involving the interplay between degenerative changes in dopaminergic neurons and disruptions in emotional regulatory circuits， which poses a substantial challenge to clinical treatment. Traditional Chinese medicine （TCM）， characterized by holistic regulation and multi-target intervention， has demonstrated significant advantages in the treatment of PD and depression， offering new insights for managing PD-depression comorbidity. This study integrates research extracted from multiple databases， including PubMed， Web of Science， Google Scholar， and China National Knowledge Infrastructure （CNKI）， that investigates the potential mechanisms of PD and depression as well as TCM-based treatments for these conditions. The aim is to elucidate the shared pathological mechanisms underlying PD and depression and to explore the therapeutic potential of TCM in effectively combating PD-depression comorbidity through these shared mechanisms， thereby providing valuable insights for the development of targeted therapies.

Objective:To retrospectively analyze the pathogenic factors of retrograde peri-implantitis (RPI) and assess the effectiveness of treatment, and to provide clinicians evidence for the prevention and treatment of RPI.Methods:A total of 2 731 patients with missing teeth (4 016 implants) who underwent implant restoration in the Department of Stomatology, The First Affiliated Hospital of Wenzhou Medical University between January 2004 and December 2022 were included in the study. According to the diagnostic criteria of RPI, a total of 20 cases (23 implants) of RPI were collected, including 4 female (5 implants) and 16 male (18 implants), and the treatment medical records, intraoral photos and cone beam CT or oral panoramic radiographs records of each patient were collected. Each patient with RPI was treated accordingly and followed up regularly to evaluate its efficacy.Results:After treatment, the follow-up time for 20 patients with clinical symptoms of RPI was 13 (6, 40) months (1 month to 13 years), and the survival rate of the treated implants was 91% (21/23). There were 7 patients (8 implants) with inactive RPI, no clinical symptoms, no loosening of the implant, with normal occlusal load, and the disease was at the inactive stage and was not treated. The pulp vitality of the natural tooth adjacent to the implant was normal, and the implant could function normally. There were 13 patients (15 implants) with infected RPI, 1 patient (1 implant) had no loosening of the implant, and the periapical radiolucency of the implant disappeared after endodontic treatment of the natural tooth adjacent to the implant; 12 patients (14 implants) had clinical symptoms such as implant loosening, pus discharge, etc. Among them, 10 patients (12 implants) were successfully implanted in situ or in adjacent sites after removing the implants, and were successfully implanted after 3 to 20 months. Two patients(2 implants) were removed and no further implants were placed. Among them, 2 implants with infected RPI had cystic lesions, which was similar to natural root apex cysts.Conclusions:The etiology of RPI is related to inflammation of adjacent tooth root tips or bacterial residues from inflammatory lesions in the alveolar bone and bone augmentation. RPI can be treated by perfect root canal treatment of adjacent teeth, removal of inflammatory tissue, or simultaneous guided bone regeneration techniques.

Dyslipidemia refers to the increased level of TG and total cholesterol in plasma, and also generally refers to other forms of dyslipidemia, which is characterized by non-obvious symptoms in the early stage of the disease, and the first episode is cardiovascular disease. The prevalence of dyslipidemia varies with country, region and population, and the prevalence of dyslipidemia in China is in increase, which is influenced by various risk factors. This paper summarizes the prevalence and risk factors of dyslipidemia and introduces the emerging risk factors of dyslipidemia, such as HIV infection, systemic lupus erythematosus, sarcopenia and environmental problem.

Objective To construct a quality control model for cervical liquid-based thin cell smears using two different artificial intelligence(AI)techniques and to compare the total use of the two methods to improve the level of quality control of cervical liquid-based thin cell smears through the assistance of hybrid AI.Methods In this study,105 cervical liquid-based thin cell smear samples were used.Convolutional neural network(CNN)algorithm and Transformer network algorithm were used as specific AI algorithms in the AI model.The labeled features included the number of cells in the slice,excessive red blood cells,excessive inflammatory cells,and air bubbles.The smear samples were pre-processed and digitized by smear,followed by image segmentation and feature extraction.Using the labeled feature data,machine learning models were trained and optimized.Statistical AI and physician QC results were analyzed by calculating KAPPA index,sensitivity,specificity,area under the curve(AUC),and other indexes for AI QC results.Results CNN algorithm QC results in normal smear,inflammatory background and bloody background were significantly different from the expert review QC results(P＜0.001).Transformer algorithm QC results were similar to the expert review results,with no statistical difference(P＞0.05).General practitioner QC results were statistically different from the expert review QC results in normal smear detection rate and bloody background(P＜0.001).CNN algorithm Kappa value was 0.567,which had medium consistency with expert review results.Transformer algorithm Kappa value was 0.890,with the best consistency with expert review results.General practitioner Kappa value was 0.675,which had better consistency with expert review results.Using the expert review results as a reference standard,the predictive efficacy of the Transformer algorithm and the general practitioners' QC results was evaluated,and the predictive efficacy of the Transformer algorithm was higher than that of the general practitioners in detecting hemorrhagic backgrounds and normal smears(inflammatory backgrounds:AUC=1.000;normal smears:AUC=0.768)(hemorrhagic backgrounds:AUC=0.849;normal smears:AUC=0.849;normal smear:AUC=0.500).Conclusion In this study,we found that the Transformer algorithm was effective in improving the quality control of cervical liquid-based thin-layer cell smears by assisting doctors to perform smear quality control scoring and improving the efficiency and accuracy of smear sample quality control.It can be used as a new quality control method for cervical cancer cytological screening and has potential clinical applications.

Objective:To investigate the effect of nuclide distribution with time from the in vivo metabolism based on measurement of radioactive contamination using lung counting method. Methods:The distribution of nuclides in the body with time was calculated on a basis of a single inhalation of aerosols containing 235U and the International Commission of Radiological Protection(ICRP) nuclide metabolism compartment model. A passive efficiency calibration of the lung counter, was performed using the simulation and calculation software Geant4 to obtain the contribution of the tissue or organs of interest to the lung counter, and to investigate the effect of the nuclide distribution on the lung counting method. Results:The time elapsed after inhalation of radionuclides, as well as their physicochemical state, has the effect on their distribution in the body and on the detection efficiency of the lung counter. Radionuclides with smaller particulate sizes have a higher initial retention in the lungs, and those with an activity median aerodynamic diameter (ADAM) of 1 μm contributed more fraction to the lung counter than those with an ADAM of 5 μm. F-type compounds were metabolized more rapidly by the respiratory system, and after 8 h of ingestion, nuclides were distributed in the lungs. F-type compounds were metabolized in the respiratory system at a relatively fast rate, and 8 h after inhalation, the fraction of nuclides retained in the lung contributed no more than 30% to the lung counter. Within 3 d after ingestion of M-type and S-type compounds, radioactive particulats largely deposites in the nasopharyngeal region. With biological metabolization and clearance, the fraction contributed by lung to counter is in rising, and the fraction to the lung counter typically remained larger than 80% after 3 d.Conclusions:Radionuclide metabolization in the body varies with their physicochemical properties and measurement time and site. For estimating internal contamination, consideration should be given to the distribution of nuclides, in order to avoid the overestimation.

Objective:To adapt and validate the Chinese version of the Supervisory Relationship Questionnaire(SRQ)and evaluate its psychometric properties among supervisees.Methods:Item analysis,exploratory factor anal-ysis(EFA)and confirmatory factor analysis(CFA)were conducted on data from 888 supervisees recruited via on-line platform.Test-retest reliability over a four-week interval was examined in a randomly selected subset of 70 su-pervisees.An additional sample of 367 supervisees completed the Supervisory Relationship Scale(SRS)to evaluate criterion validity.Results:The revised SRQ contained 65 items and 6 factors.Both exploratory factor analysis and confirmatory factor analysis supported six-factor structure(safe base,structure,commitment,reflective education,role model and formative feedback),explaining 66.52％of the variance,with factor loadings of the items ranging from 0.58 to 0.83.The revised SRQ had six factors with good fit indices(x2/df=1.31,GFI=0.81,NFI=0.87,CFI=0.97,TLI=0.90,IFI=0.91,RMSEA=0.03,SRMR=0.05).The scores of the revised SRQ were positively correlated with the scores of SRS(ICC=0.96,P＜0.01).The Cronbach α coefficient of the revised SRQ was 0.97,and the test-retest reliability coefficient(ICC)was 0.74.Conclusion:The SRQ-C demonstrates sound psy-chometric properties,including structural validity,criterion-related validity,internal consistency,and temporal stabil-ity.It is a reliable and valid instrument for assessing supervisory relationships from the supervisee perspective.

Objective:To adapt and validate the Chinese version of the Supervisory Relationship Questionnaire(SRQ)and evaluate its psychometric properties among supervisees.Methods:Item analysis,exploratory factor anal-ysis(EFA)and confirmatory factor analysis(CFA)were conducted on data from 888 supervisees recruited via on-line platform.Test-retest reliability over a four-week interval was examined in a randomly selected subset of 70 su-pervisees.An additional sample of 367 supervisees completed the Supervisory Relationship Scale(SRS)to evaluate criterion validity.Results:The revised SRQ contained 65 items and 6 factors.Both exploratory factor analysis and confirmatory factor analysis supported six-factor structure(safe base,structure,commitment,reflective education,role model and formative feedback),explaining 66.52％of the variance,with factor loadings of the items ranging from 0.58 to 0.83.The revised SRQ had six factors with good fit indices(x2/df=1.31,GFI=0.81,NFI=0.87,CFI=0.97,TLI=0.90,IFI=0.91,RMSEA=0.03,SRMR=0.05).The scores of the revised SRQ were positively correlated with the scores of SRS(ICC=0.96,P＜0.01).The Cronbach α coefficient of the revised SRQ was 0.97,and the test-retest reliability coefficient(ICC)was 0.74.Conclusion:The SRQ-C demonstrates sound psy-chometric properties,including structural validity,criterion-related validity,internal consistency,and temporal stabil-ity.It is a reliable and valid instrument for assessing supervisory relationships from the supervisee perspective.

Objective To understand the implementation of WS/T 508-2016 and the status of washing and disin-fection of medical textiles in China,and provide basis for the revision of the standard.Methods A questionnaire survey was conducted on the management of medical institutions and washing and disinfection workplace,building layout,personnel protection,equipment and supplies,washing and disinfection principles,and hygiene quality mo-nitoring of medical textiles in 323 medical institutions and 31 washing institutions in China.Meanwhile,microbio-logical index sampling was conducted on 234 pieces of medical textiles in 9 medical institutions and 8 washing insti-tutions in Hubei,Shanxi,Shanghai,and Sichuan Provinces before and after washing and disinfection.Results The awareness rates of WS/T 508-2016 among medical institutions and washing institutions were 96.90％and 96.77％,respectively,and the implementation rates were 94.12％and 96.77％,respectively.47.99％medical in-stitutions use purchasing services for washing and disinfecting medical textiles,and the higher the level of the medi-cal institution was,the higher the proportion of purchasing services was(x2=15.312,P＜0.001).85.16％medi-cal institutions have conducted risk assessments on service providers,and 52.99％were responsible for or participa-ted in pre-job training by the medical institution.Washing institutions were higher than medical institutions in terms of system soundness rate,pre-job training rate,proportion of quality management leaders and full-time(part-time)quality inspectors,setting rate of hand-washing facilities in zones,passages,isolation barriers,dressing(buffer)room,and toilets,configuration rate of hygiene isolation washing equipment,tunnel washing unit,washing equip-ment with heating functions,drying equipment and mechanical ventilation facilities,and specialty machine washing rate.Among 234 medical textiles specimens,11.97％were detected fungi,and the total fungal colonies in 5 clean textiles exceeded 100 CFU/100 cm2.Conclusion WS/T 508-2016 can further standardize the washing and disin-fection of medical textiles in China through strengthening institutional management,improving the supervision level of service providers,perfecting hardware facilities and layout,introducing new technologies,and increasing the mo-nitoring on fungi in clean textiles.

OBJECTIVE To observe the effect of acupuncture combined with a modified Zhengan Xifeng Decoction on the early clinical symptoms and oxidative stress status of patients with hypertensive intracerebral hemorrhage(HICH)of liver-kidney yin defi-ciency syndrome.METHODS A total of 60 patients with hypertensive intracerebral hemorrhage(liver-kidney yin deficiency syn-drome)who successfully received 24-hour acute-phase treatment at the Department of Neurosurgery,Acupuncture and Rehabilitation Department,and wards of Kunshan Hospital Affiliated to Nanjing University of Chinese Medicine(Kunshan Traditional Chinese Medi-cine Hospital)from July 2021 to January 2023 were recruited.A randomization table generated by SPSS 22.0 software was used to di-vide the patients into a control group and an observation group,with 30 patients in each group.The control group received symptomatic treatment,conventional rehabilitation training,and modified Zhengan Xifeng Decoction,while the observation group received additional acupuncture treatment on the basis of the control group.The treatment course was 1 month for both groups.Clinical effective rate,TCM syndrome scores,motor and neurological function scores[Activity of Daily Living(ADL)scale,National Institutes of Health Stroke Scale(NIHSS),Modified Ashworth Scale(MAS),Simplified Fugl-Meyer Assessment(FMA)scale],improvement in hematoma lesions,Fraction anisotropy(FA)ratio(rFA),and serum levels of antioxidant stress response factors Kelch-like ECH-associated protein 1(Keap1)and nuclear factor-E2-related factor 2(Nrf2)were observed before and after treatment in both groups.RESULTS After treat-ment,the clinical effective rate in the observation group was significantly higher than that in the control group(P<0.05);the TCM syn-drome scores in both groups decreased significantly(P<0.05),with the observation group showing better results than the control group(P<0.05);the ADL and FMA scores in both groups reduced significantly(P<0.05,P<0.01),while the NIHSS and Ashworth Scale scores increased significantly(P<0.05,P<0.01),with the observation group showing better improvement than the control group(P<0.05);serum Keap1 levels decreased significantly in both groups(P<0.01),while Nrf2 levels enhanced significantly(P<0.05,P<0.01),with the observation group showing better improvement than the control group(P<0.05);imaging studies showed that after treat-ment,the residual hematoma volume decreased significantly in both groups(P<0.05,P<0.01),and the rFA value increased signifi-cantly(P<0.05,P<0.01),with the observation group showing better results than the control group(P<0.01).CONCLUSION On the basis of standard treatment for the acute phase,acupuncture combined with Zhengan Xifeng Decoction can significantly improve the early clinical symptoms of HICH patients with liver-kidney yin deficiency,reduce oxidative stress levels,and promote the recovery of nerve and motor functions.

Objective To construct a quality control model for cervical liquid-based thin cell smears using two different artificial intelligence(AI)techniques and to compare the total use of the two methods to improve the level of quality control of cervical liquid-based thin cell smears through the assistance of hybrid AI.Methods In this study,105 cervical liquid-based thin cell smear samples were used.Convolutional neural network(CNN)algorithm and Transformer network algorithm were used as specific AI algorithms in the AI model.The labeled features included the number of cells in the slice,excessive red blood cells,excessive inflammatory cells,and air bubbles.The smear samples were pre-processed and digitized by smear,followed by image segmentation and feature extraction.Using the labeled feature data,machine learning models were trained and optimized.Statistical AI and physician QC results were analyzed by calculating KAPPA index,sensitivity,specificity,area under the curve(AUC),and other indexes for AI QC results.Results CNN algorithm QC results in normal smear,inflammatory background and bloody background were significantly different from the expert review QC results(P＜0.001).Transformer algorithm QC results were similar to the expert review results,with no statistical difference(P＞0.05).General practitioner QC results were statistically different from the expert review QC results in normal smear detection rate and bloody background(P＜0.001).CNN algorithm Kappa value was 0.567,which had medium consistency with expert review results.Transformer algorithm Kappa value was 0.890,with the best consistency with expert review results.General practitioner Kappa value was 0.675,which had better consistency with expert review results.Using the expert review results as a reference standard,the predictive efficacy of the Transformer algorithm and the general practitioners' QC results was evaluated,and the predictive efficacy of the Transformer algorithm was higher than that of the general practitioners in detecting hemorrhagic backgrounds and normal smears(inflammatory backgrounds:AUC=1.000;normal smears:AUC=0.768)(hemorrhagic backgrounds:AUC=0.849;normal smears:AUC=0.849;normal smear:AUC=0.500).Conclusion In this study,we found that the Transformer algorithm was effective in improving the quality control of cervical liquid-based thin-layer cell smears by assisting doctors to perform smear quality control scoring and improving the efficiency and accuracy of smear sample quality control.It can be used as a new quality control method for cervical cancer cytological screening and has potential clinical applications.