ObjectiveTo investigate the current professional competency among full-time and part-time personnel of the nosocomial infection control administration in Shanghai, so as to provide a scientific basis for future training programmes. MethodsIn December 2024, a questionnaire survey was conducted by the Shanghai Nosocomial Infection Quality Control Center among full-time and part-time personnel of the nosocomial infection control administration across medical institutions at various levels and types in Shanghai using convenience sampling method. The questionnaire consisted of two parts: demographic information and professional competency assessment. The professional competency scale comprised four dimensions: fundamental cognition, basic skills, professional expertise, and personal qualities, totaling 35 items. ResultsA total of 1 179 questionnaires were distributed, with 1 144 valid responses collected, yielding an effective response rate of 97.03%. Statistically significant differences were observed among full-time and part-time personnel of the nosocomial infection control administration in terms of age (t=5.32, P=0.021), professional background (χ²=9.90, P=0.019), educational qualifications (χ²=19.10, P<0.001), professional titles (χ²=12.60, P=0.002), and the levels of medical institutions (χ²=111.08, P<0.001). The scores of full-time personnel of the nosocomial infection control administration in fundamental cognition [92 (82, 99) points] and basic skills [88 (78, 96) points] were significantly higher than those of part-time personnel(Z=-2.21, P=0.027;Z=-2.74, P=0.006). Statistically significant differences were found in fundamental cognition scores between full-time and part-time personnel of the nosocomial infection control administration regarding occupational safety protection, definition of healthcare-associated infection outbreaks, types of drug-resistant bacteria and their prevention and control strategies, and transmission routes of different infectious diseases (all P<0.05). Statistically significant differences were also observed in basic skills scores including proficient use of monitoring platforms, formulation and revision of standard operating procedures (SOPs), independent completion of targeted surveillance, guidance on basic infection control skills, guidance for key departments, and follow-up of personnel with occupational exposure (all P<0.05). However, no statistically significant differences were found in scores of professional knowledge and personal qualities (P>0.05). ConclusionThere are certain differences in professional competency between full-time and part-time personnel of the nosocomial infection control administration in Shanghai in terms of fundamental cognition and basic skills. Part-time personnel can effectively improve their professional competency through systematic training on basic infection control knowledge and practical skills, thereby comprehensively enhancing the overall quality of the nosocomial infection administration team.

BackgroundThe violent aggressive behaviors of patients with schizophrenia usually have the characteristics of suddenness， unpredictability， high severity， and great difficulty in prevention. Early identification and accurate assessment of their risk of violent aggression have significant clinical significance. ObjectiveTo construct a predictive model for the violence risk in hospitalized patients with schizophrenia， to identify the key factors influencing the occurrence of violent behavior in these patients， so as to provide references for clinical precise quantitative assessment and early intervention. MethodsA total of 200 patients with schizophrenia who were hospitalized at Taiyuan Psychiatric Hospital from March 2022 to September 2024 and met the diagnostic criteria of the International Classification of Diseases， eleventh edition （ICD-11） were collected to form the modeling cohort. They were randomly divided into a training set （n=140） and a test set （n=60） at a ratio of 7∶3. Based on the least absolute shrinkage and selection operator （LASSO） regression algorithm， the feature variables were screened and dimension-reduced. The support vector machine （SVM） from machine learning was selected for model training and prediction. The discrimination efficacy of the model was evaluated by the area under the receiver operating characteristic （ROC） curve （AUC）， accuracy， precision， sensitivity， specificity， F1 value， and Brier value. ResultsLASSO regression screening identified 16 feature variables. Pearson correlation analysis revealed a positive correlation between prior violent behavior frequency and clinical psychiatric symptom scores （r=0.580， P<0.01）， a positive correlation between hospitalization compliance and current disease status （r=0.550， P=0.003）， and a positive correlation between educational level and family per capita monthly income （r=0.367， P<0.01）. The SVM model achieved an AUC of 0.853， accuracy of 0.800， precision of 0.810， sensitivity of 0.895， specificity of 0.636， F1 value of 0.850， and Brier value of 0.168. ConclusionThe SVM model has a relatively high level of applicability and overall predictive performance in the assessment of violent risk in schizophrenia patients， which is helpful for the early identification of violent risks in such patients. ［Funded by Specialized Research Project for Enhancing the Competence of Health Professionals in Taiyuan City （number， Y2023006）］

Objective To evaluate the effectiveness of schistosomiasis surveillance in Jiangsu Province during the stage moving from transmission control to transmission interruption, and to analyze the current risk and challenges, so as to provide the evidence for achieving the target of schistosomiasis elimination. Methods Schistosomiasis surveillance data were collected from Jiangsu Province from 2012 to 2024, and the endemic areas, Schistosoma japonicum infections in humans and livestock, Oncomelania hupensis snail distribution and implementation of integrated interventions were descriptively analyzed. In addition, the trends in areas with snails, seroprevalence of human S. japonicum infections and numbers of advanced schistosomiasis cases were assessed using a Joinpoint regression model. Results The endemic areas of schistosomiasis continued to shrink in Jiangsu Province from 2012 to 2024, with the number of schistosomiasis-eliminated counties (cities, districts) increasing from 53 (75.71%) to 63 (96.92%), and interruption of schistosomiasis transmission was achieved across the province. A total of 4 600 300 person-times were tested for serum antibodies against S. japonicum, with 28 719 person-times positive detected; and 616 500 person-times were tested S. japonicum infections among local residents in Jiangsu Province from 2012 to 2024, with only 3 egg-positives detected, and no egg-positives found since 2017. A total of 187 600 herd-times were tested for schistosomiasis in livestock, and no S. japonicum infections were found. O. hupensis snail survey was performed covering 1 018 408.97 hm², and a total of 35 556.35 hm² was found with snail-infested habitats, including 174.40 hm2 of emerging snail-infested habitats. A total of 1 102 800 O. hupensis snails were identified for S. japonicum infections, and no infections were found. The areas of snail-infested habitats appeared a tendency towards a rise in Jiangsu Province from 2019 to 2023 (APC = 23.67%, P < 0.05), and the actual areas of snail-infested habitats appeared a tendency towards a decline from 2012 to 2015 (APC = −22.77%, P < 0.05), and towards a rise from 2015 to 2023 (APC = 9.76%, P < 0.01). The seroprevalence of anti-S. japonicum antibodies appeared a tendency towards a decline among residents in Jiangsu Province from 2017 to 2023 (APC = −14.92%, P < 0.01). In addition, the number of newly diagnosed advanced schistosomiasis cases appeared a tendency towards a decline from 2012 to 2024 (APC = −12.02%, P < 0.01), and the numbers of advanced schistosomiasis patients requiring treatment showed a tendency towards a decline from 2012 to 2021 (APC = −10.56%, P < 0.01) and from 2021 to 2023 (APC = −20.06%, P < 0.01). Conclusions Great progresses had been achieved in schistosomiasis control in Jiangsu Province following transmission control, and transmission interruption had been achieved; however, there are still snail-infested habitats. High-intensity surveillance and integrated control are required to be maintained to advance the achievement of the target of schistosomiasis elimination in Jiangsu Province.

Kidney transplantation is an effective treatment for end-stage renal disease.However,post transplantation diabetes mellitus(PTDM)is a common complication after kidney transplantation,affecting 10%to 40%of recipients and increasing the risk of cardiovascular disease,infections,sepsis and other conditions.The pathogenesis of PTDM is complex,including pancreatic β-cell dysfunction and insulin resistance.Tacrolimus,a commonly used immunosuppressive drug,is an independent risk factor for PTDM.Its mechanisms include damaging pancreatic β-cells,mediating impaired mitochondrial autophagy,etc.In addition,tacrolimus also raises blood glucose levels through various pathways,such as affecting gut microbiota metabolism and activating bile acid signaling pathways.In recent years,some new anti-diabetic drugs have shown certain application prospects in kidney transplant recipients,but the evidence-based medical evidence for their combined use still needs further exploration.In the future,it is necessary to conduct in-depth research on the multiple sites of action of tacrolimus to reduce the occurrence of PTDM and improve the prognosis of kidney transplant recipients.

BACKGROUND:The cervical facet joint,as an important anatomical structure of the posterior column of the cervical spine,plays an important role in neck activity,stress transmission,and maintaining cervical stability. In recent years,anatomical and biomechanical studies have shown that asymmetry of cervical facet joints can cause degeneration of facet joints,which may be the main cause of cervical spine degeneration in young people. Existing research is mostly focused on adults,and there are also reports on preschool and school-age children in China,while there are few reports on the morphological parameters of cervical facet joints in adolescents.OBJECTIVE:Through three-dimensional reconstruction of the cervical facet joints in adolescents,measuring their relevant morphological parameters,and comparing them with those in children and adults,we explored the age-related changes in the morphological development of cervical facet joints,providing a theoretical basis for the diagnosis,treatment,and prevention of cervical spondylosis arising from cervical facet joints.METHODS:A total of 62 adolescents aged 13-18 years were selected to undergo spiral CT scan of cervical vertebrae and 3D reconstruction,requiring no bone destruction,tumor,deformity,or fracture,no changes in vertebrae morphology and structure,no previous spinal operations. The guardian's informed consent to the experimental protocol was obtained. By age group,group A was 13-14 years old;group B was 15-16 years old;group C was 17-18 years old. Thecorrelation morphometry and statistical analysis of C2-C7 facet joints were performed in adolescents of each group.RESULTS AND CONCLUSION:(1) In three groups of subjects,the facet joint surface heights and widths displayed decreasing and increasing trends in relation to the change of vertebra order. The facet joint surfaces on the inferior surface showed larger height and width compared to the corresponding indicators on the superior surface. (2) The intra-articular height of the articular process was lowest in C5 among the three groups of ages,and it showed a positive correlation with age. (3) Among the three groups,the gaps between the articular surfaces of the joints in C4-5 of group A,C3-4 of group B,and C4-5 of group C weresignificantly larger than the rest of the gaps in each group. Except for C4-5,there were no significant differences between the two groups. Except for C2-3,the remaining gaps between the vertebrae in group C were significantly larger than those in the two groups. (4) It is indicated that the morphology of the cervical facet joint surface gradually transitions from circular to elliptical as the vertebral order increases. In inter-group comparison,facet joint surface height is significantly affected by age compared to facet joint surface width. The area of the lower facet joint surface of each segment is greater than that of the upper facet joint surface,with only significant differences in the shape and area of C4-5 and C5-6. In addition,the minimum height of the facet joint is located at C5,and the significantly widened gap between the facet joint surfaces is mainly located at C3-4 and C4-5. Therefore,cervical instability often occurs at the mid-level.

BACKGROUND:The cervical facet joint,as an important anatomical structure of the posterior column of the cervical spine,plays an important role in neck activity,stress transmission,and maintaining cervical stability. In recent years,anatomical and biomechanical studies have shown that asymmetry of cervical facet joints can cause degeneration of facet joints,which may be the main cause of cervical spine degeneration in young people. Existing research is mostly focused on adults,and there are also reports on preschool and school-age children in China,while there are few reports on the morphological parameters of cervical facet joints in adolescents.OBJECTIVE:Through three-dimensional reconstruction of the cervical facet joints in adolescents,measuring their relevant morphological parameters,and comparing them with those in children and adults,we explored the age-related changes in the morphological development of cervical facet joints,providing a theoretical basis for the diagnosis,treatment,and prevention of cervical spondylosis arising from cervical facet joints.METHODS:A total of 62 adolescents aged 13-18 years were selected to undergo spiral CT scan of cervical vertebrae and 3D reconstruction,requiring no bone destruction,tumor,deformity,or fracture,no changes in vertebrae morphology and structure,no previous spinal operations. The guardian's informed consent to the experimental protocol was obtained. By age group,group A was 13-14 years old;group B was 15-16 years old;group C was 17-18 years old. Thecorrelation morphometry and statistical analysis of C2-C7 facet joints were performed in adolescents of each group.RESULTS AND CONCLUSION:(1) In three groups of subjects,the facet joint surface heights and widths displayed decreasing and increasing trends in relation to the change of vertebra order. The facet joint surfaces on the inferior surface showed larger height and width compared to the corresponding indicators on the superior surface. (2) The intra-articular height of the articular process was lowest in C5 among the three groups of ages,and it showed a positive correlation with age. (3) Among the three groups,the gaps between the articular surfaces of the joints in C4-5 of group A,C3-4 of group B,and C4-5 of group C weresignificantly larger than the rest of the gaps in each group. Except for C4-5,there were no significant differences between the two groups. Except for C2-3,the remaining gaps between the vertebrae in group C were significantly larger than those in the two groups. (4) It is indicated that the morphology of the cervical facet joint surface gradually transitions from circular to elliptical as the vertebral order increases. In inter-group comparison,facet joint surface height is significantly affected by age compared to facet joint surface width. The area of the lower facet joint surface of each segment is greater than that of the upper facet joint surface,with only significant differences in the shape and area of C4-5 and C5-6. In addition,the minimum height of the facet joint is located at C5,and the significantly widened gap between the facet joint surfaces is mainly located at C3-4 and C4-5. Therefore,cervical instability often occurs at the mid-level.

An 82-year-old female patient with atrial fibrillation and heart failure was treated with dabigatran etexilate 110 mg twice daily for 6 years. Two months ago, the patient′s lower limb edema was aggravated and urine output was reduced. Considering the worsening of the patient′s heart failure, torasemide tablets and spironolactone tablets were given, but her symptoms were not improved. Two days ago, the patient had scattered petechiae on the whole skin, tarry stools, and reduced urine (200 ml daily). Laboratory tests showed hemoglobin (Hb) 63 g/l, prothrombin time (PT) 39.5 s, activated partial thromboplastin time (APTT) 117.2 s, thrombin time (TT) >300 s, and international normalized ratio (INR) 3.64; the fibrinogen (Fib) could not be measured. Coagulation dysfunction and gastrointestinal bleeding caused by dabigatran etexilate were considered. Dabigatran etexilate was discontinued, and intravenous infusion of idarucizumab injection (2.5 g) was given twice. Then gastrointestinal bleeding in the patient disappeared and laboratory tests showed PT 12.7 s, APTT 42.4 s, TT 18.8 s, INR 1.18, and Fib 2.67 g/L. After 8 days, the patient′s cardiac function was improved, the skin ecchymosis subsided, and laboratory tests showed Hb 84 g/L, PT 14 s, APTT 37.8 s, TT 41.2 s, INR 1.3, Fib 2.26 g/L, and negative fecal occult blood test.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.

Objective To propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15％,89.23％,88.34％and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]

Objective To investigate the effect of exogenous luteinizing hormone (LH) on vitrification granulosa cells and its mecha-nisms. Methods The granulosa cells of 4-week-old preadolescent mice were selected and divided into the fresh group (without vitrification procedure),the vitrification group (treated according to vitrification procedure) and the LH group (treated with 0.3 IU/L of LH intervention on the basis of the vitrification group). Granulocyte count was performed,and Realtime PCR and Western blot were used to detect the expression changes of Foxl2,PI3K,AKT and mTOR mRNAs and proteins in each group. Results Compared with the vitrification group,the total number of granulosa cells in the LH group was significantly increased (P<0.05),and the expression of Foxl2,PI3K,AKT and mTOR mRNAs and proteins were elevated (P<0.05). Conclusion The intevention of exogenous LH is beneficial for the survival of vitrifi-cation granulosa cells,and the mechanism may be related to the activation of PI3K/AKT/mTOR pathway.