To analyze inpatient mortality cases in a tertiary general hospital in Beijing based on diagnosis-related groups (DRG), with the aim of providing references for healthcare quality management.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

BACKGROUND:Developmental dysplasia of the hip often leads to limb deformities in children,and the research related to its diagnosis and treatment has been gradually clarified.Recently,the finite element method has been paid attention to by scholars in the research related to developmental dysplasia of the hip because of its advantages. OBJECTIVE:Through literature search and review of the relevant research progress of finite element method in children's developmental dysplasia of the hip and treatment,analyze and summarize its advantages and disadvantages,and explore the direction of further research in the future. METHODS:PubMed,SCI,CBM,and CNKI were searched for relevant articles published from January 2014 to November 2023 with the key words of"developmental dysplasia(dislocation)of the hip,dysplasia of the hip,finite element analysis(method),pavlik harness,fixation in herringbone position,biomechanics,pelvic osteotomies,pemberton,salter,dega,periacetabular osteotomy,children"in Chinese and English.A small number of long-term articles were included,and 62 articles were finally included for analysis through screening. RESULTS AND CONCLUSION:(1)The mechanical environment of hip joint in children with developmental dysplasia of the hip was abnormal.The pressure in acetabulum was uneven.The stress increased and concentrated;the joint contact area decreased,and the local stress concentrated in femoral neck.(2)In the Pavlik sling and herringbone fixation,the mechanical environment of the hip was improved;the concentrated high stress area disappeared and the joint contact area increased,but the excessive abduction angle led to the increase of stress in the acetabulum and the lateral femoral head.(3)After pelvic osteotomy,the stress environment of hip joint and sacroiliac joint was improved.There was no single hinge in the three kinds of osteotomy,and the stress load position was different according to the age of the children.(4)After peri-acetabular osteotomy,the joint contact pressure was close to normal,but it was difficult to recover in patients with non-spherical femoral head.(5)The postoperative X-ray film findings could not show that the joint contact mechanics was the best.(6)It is indicated that the information that cannot be measured in the body can be obtained by using the finite element method,which can be operated in a virtual environment without the limitation of time and ethics.It can directly see the stress change area of normal and developmental dysplasia of the hip,explain the effectiveness of treatment from the point of view of mechanics,establish a specific finite element model and tailor-made operation plan for patients who need osteotomy.There is no standard or unified standard for the finite element modeling of developmental dysplasia of the hip and the material characteristic parameters of children's hip joint.Due to the inherent limitations of finite element method,it is impossible to analyze the model that contains bone,cartilage,ligament,muscle and other elements at the same time.The operation of finite element analysis is difficult,although it has advantages,it is not universal,and the current research sample size is small,which needs to be further expanded and verified.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

ObjectiveStarting from the etiology， pathogenesis， and treatment strategies of endometriosis and adenomyosis， to integrate and sort out the academic characteristics of contemporary renowned experts and schools in the field of traditional Chinese medicine gynecology. MethodsAccording to the systematic review of text and opinion （SrTO） process developed by the Joanna Briggs Institute （JBI） in Australia， this paper determined literature screening criteria by searching China National Knowledge Infrastructure （CNKI）， VIP， Wanfang， and China Biomedical Literature Database. Information was extracted after literature screening， and quality evaluation was conducted using the JBI Narrative， Text， and Opinion Systematic Review Strict Evaluation Checklist. The JBI Narrative， Opinion， Text Evaluation， and Review Tool Summary Table was used for information synthesis， and data analysis and display were conducted in the form of text and charts. ResultsThe 146 articles related to 39 renowned experts and 19 articles related to 10 schools of thought were included. Research has found that contemporary experts and schools in traditional Chinese medicine gynecology consider blood stasis as the core pathogenesis in understanding the etiology and pathogenesis of two diseases and related infertility. Their viewpoints varied from multiple aspects such as clinical symptom characteristics， meridian circulation location， pathological product evolution， disease duration， emotional psychology， lifestyle habits， preference for food and drink， innate endowment， and acquired injury. In terms of treatment， it was advocated to divide the stage， treat according to different types， adapt to the times， integrate nature and humans， and combine multiple methods to treat comprehensively when necessary. It was also recommended to skillfully use insects， make good use of classic formulas and small prescriptions， pay attention to protecting the spleen and stomach and regulating emotions， and make good use of self-formulated empirical formulas for internal or external use. Besides， individualized long-term management of patients was also advocated. ConclusionThis study applies the SrTO process to systematically summarize the academic ideas of contemporary renowned experts and schools in traditional Chinese medicine gynecology regarding the causes， mechanisms， diagnosis， and treatments of endometriosis， providing a scientific and standardized reference for future theoretical exploration.

Objective: To investigate the effect of auricular therapy on sleep improvement and the GABAergic system pathway in a rat model of insomnia and to explore its possible mechanism. Methods: According to the random number table, 60 male SD rats were randomly divided into blank control, model, auricular point sticking, auricular bloodletting, and auricular bloodletting combined with sticking groups, with 12 rats per group. Insomnia was induced by intraperitoneal injection of p-chlorophenylalanine. After establishing the insomnia model, 36 rats were treated once a day with auricular point sticking or bloodletting for 5 consecutive days. After the intervention, the general condition and body weight of rats were observed; the righting reflex test was used to detect the sleep latency and duration; HE staining was used to observe the morphology of hypothalamic neuron cells; and an enzyme-linked immunosorbent assay was used to detect the GABA and glutamate content in rat serum. Immunohistochemistry(IHC) and real-time fluorescence quantitative PCR were used to detect GABA ARα1 and GABA ARγ2 protein and mRNA expression in the hypothalamus of rats, and Western blotting(WB) was used to detect GABA ARα1, GABA ARγ2, GAD65/67, GAT-1, and GABA-T protein expression in the hypothalamus of rats. Results: Compared with the blank control group, the model group had a lower body weight, a significantly shorter sleep duration (P<0.05), severe damage to the morphological structure of hypothalamic neurons with disordered cell arrangement, larger intercellular gaps, enlarged cell bodies, and a vacuolated appearance. All the intervention groups had significantly higher body weight and longer sleep duration than the model group (P<0.05). Compared with the other intervention groups, the auricular point sticking group had a longer sleep duration (P<0.05), and the hypothalamic neuron cells in all intervention groups improved, with the auricular point sticking group showing more apparent improvement. The model group had a lower GABA and higher glutamate contents, and GABA ARα1, GABA ARγ2, and GAD65/67 protein expression in the hypothalamus were lower than in the blank control group. In contrast, GAT-1 and GABA-T protein expression was higher, and GABA ARα1 and GABA ARγ2 mRNA expression was lower (P<0.05). The serum GABA content in the auricular point sticking and auricular bloodletting groups was higher, and the serum glutamate content in the auricular point sticking and auricular bloodletting combined sticking groups was lower than in the model group. GABA ARα1 mRNA expression in the hypothalamus of each intervention group was significantly increased, and GABA ARγ2 mRNA expression in the hypothalamus of the auricular point sticking and auricular bloodletting combined sticking groups increased. GABA ARα1(IHC, WB), GABA ARγ2(WB), and GAD65/67 protein expression in the hypothalamus of the auricular point sticking group increased, whereas GAT-1 and GABA-T protein expression decreased. GABA ARα1 and GABA ARγ2 protein expression(IHC, WB) in the hypothalamus of the auricular bloodletting group increased, whereas GABA-T protein expression decreased. GABA ARγ1(IHC) and GABA ARγ2(WB) protein expression in the hypothalamus of the auricular bloodletting combined sticking group increased, whereas GAT-1 and GABA-T protein expression decreased (P<0.05). Compared with in the inventation groups, the serum GABA content in the auricular point sticking group increased, the serum glutamate content decreased, GABA ARα1 and GABA ARγ2 mRNA expression in the hypothalamus increased, and GABA ARα1(IHC), GAD65/67 protein expression increased. In contrast, GABA-T protein expression decreased (P<0.05), and GABA ARγ2 protein expression(IHC) in the hypothalamus of the auricular bloodletting group increased (P<0.05). Conclusion Auricular therapy, particularly auricular point sticking, may have modulated the GABAergic system pathway by upregulating hypothalamic GABA ARα1, GABA ARγ2, and GAD65/67 protein expression while downregulating GAT-1 and GABA-T protein expression to alleviate symptoms in an insomnia rat model.

ObjectiveTo investigate the effect of high-definition transcranial direct current stimulation (HD-tDCS) combined with upper limb robot on upper limb dysfunction in patients with ischemic stroke. MethodsFrom January, 2023 to March, 2024, 56 inpatients with upper limb dysfunction after ischemic stroke were selected from Zhejiang Rehabilitation Medical Center, and divided into control group (n = 28) and experimental group (n = 28) randomly. All the patients received comprehensive treatment and upper limb robot training, while the control group received sham HD-tDCS and the experimental group received HD-tDCS, for four weeks. They were assessed with Fugl-Meyer Assessment-Upper Extremities (FMA-UE), Wolf Motor Function Test (WMFT) and modified Barthel Index (MBI) before and after treatment. The cortical amplitude, cortical latency and central motor conduction time (CMCT) of transcranial magnetic stimulation motor-evoked potential (MEP) were recorded, and a correlation analysis was conducted. ResultsThe scores of FMA-UE, WMFT and MBI, and MEP cortical amplitude, cortical latency and CMCT improved in both groups after treatment (t > 3.177, P < 0.01), and they were better in the experimental group than in the control group (t > 3.610, P < 0.01). The scores of FMA-UE and WMFT negatively correlated with MEP cortical latency and CMCT, and positively correlated with MEP cortical amplitude (|r| > 0.448, P < 0.001). ConclusionHD-tDCS is effective on upper limb motor function and activities of daily living for patients with ischemic stroke, and can improve corticospinal motor conduction.

Objective To analyze the characteristics of postoperative hospital-acquired infections and drug sensitivity in lung transplant recipients over the past 5 years in a single center. Methods A total of 724 lung transplant recipients at Wuxi People's Hospital from January 2019 to December 2023 were selected. Based on the principles of hospital-acquired infection diagnosis, a retrospective analysis was conducted on the hospital infection situation and infection sites of lung transplant recipients, and an analysis of the distribution of hospital-acquired infection pathogens and their antimicrobial susceptibility test status was performed. Results Among the 724 lung transplant recipients, 275 cases of hospital-acquired infection occurred, with an infection rate of 38.0%. The case-time infection rate decreased from 54.2% in 2019 to 22.8% in 2023, showing a downward trend year by year (Z=30.98, P<0.001). The main infection site was the lower respiratory tract, accounting for 73.6%. The pathogens were mainly Gram-negative bacteria, with the top four being Acinetobacter baumannii (37.1%), Pseudomonas aeruginosa (17.3%), Klebsiella pneumoniae (13.7%), and Stenotrophomonas maltophilia (13.4%), with imipenem resistance rates of 89%, 53%, 58% and 100%, respectively. Gram-positive bacteria were mainly Staphylococcus aureus (3.6%), with a methicillin resistance rate of 67%. Conclusions Over the past 5 years, the hospital-acquired infections in lung transplant recipients have shown a downward trend, mainly involving lower respiratory tract infections, with the main pathogens being Acinetobacter baumannii, Pseudomonas aeruginosa and Klebsiella pneumoniae, all of which have high resistance rates to imipenem.

Gynecological malignancies pose a serious threat to women's health， and the early diagnosis and precise treatment are crucial for improving patients' prognosis. With the rapid advancement of Artificial Intelligence （AI） technology， it has become a revolutionary tool in the medical field. Through functions such as image recognition， data mining， and pattern recognition， it has opened up new avenues for the diagnosis and management of gynecological malignancies. This review comprehensively summarizes the latest research progress of AI in cervical cancer， ovarian cancer and endometrial cancer， with a special focus on its practical applications in tumor management involving early screening，diagnosis， treatment effect evaluation and prediction of prognosis，so as to provide guidance for the future research direction of AI in gynecological malignancies.