Objective This study aims to explore the impacts of short-term insemination and early rescue intracytoplasmic sperm injection (E-RICSI) on clinical and neonatal outcomes for IVF patients. Methods A retrospective analysis was conducted on the clinical data from the patients who underwent fresh embryo transfer at the Reproductive Center from January 2019 to December 2023. Patients were divided into four groups based on fertilization method:short-term IVF group (n=204),conventional IVF group (n=208),E-RICSI group (n=13) and conventional ICSI group (n=92). The fertilization rates,embryo development,pregnancy outcomes,and neonatal outcomes were compared between the short-term IVF and conventional IVF groups,and between the E-RICSI and conventional ICSI groups. Results There were no statistically significant differences in embryo development,clinical pregnancy,miscarriage,ectopic pregnancy,live birth rates,neonatal sex,and birth weight between the short-term IVF group and conventional IVF group. Similarly,no significant differences were observed in the E-RICSI group compared to the conventional ICSI group (P>0.05). However,the fertilization rate (79.11％ vs. 84.39％,P<0.001) and the rate of 2PN zygotes (63.98％ vs. 70.83％,P<0.001) were significantly lower in the short-term IVF group compared to the conventional IVF group;The fertilization rate (65.49％ vs. 91.68％,P<0.001) and the rate of 2PN zygotes (57.75％ vs. 88.35％,P<0.001) were significantly lower in the E-RICSI group compared to the conventional ICSI group. Conclusions Although the fertilization rate of short-term insemination and E-RICSI is lower than that of conventional IVF and ICSI,it has no effect on embryonic development,preg-nancy outcome and neonatal outcome. Short-term insemination combined with early rescue ICSI is an effective and safe technology to prevent complete fertilization failure.

Objective To systematically analyze the research status,hotspots,and trends in the field of health-care-associated infection(HAI)in 2020-2025 globally,with a focus on exploring the development strategy of sci-entific and technological talents,and provide data support for talent cultivation,disciplinary layout,and evidence-based decision-making in this field.Methods Web of Science Core Collection was adopted as data source,and HAI-related literatures from January 2020 to January 2025 were retrieved.Bibliometric methods were employed with tools such as VOSviewer and Bibliometrix(R4.4.0)to conduct a cluster analysis on annual publication volume,countries/regions,authors,highly cited literatures,and keywords.The distribution characteristics,collaboration modes,and adaptability to research hotspots of scientific and technological talents in this field were also sorted out.Results A total of 9 566 literatures were included in the analysis.The annual publication volume peaked in 2021 and subsequently entered a high-level platform period with over 1 800 articles per year.China and the United States formed a dual-core research pattern,with Chinese scholars dominating the list of productive authors.Highly cited literatures were predominantly published in 2020-2021,mainly focusing on the clinical characteristics and HAI risks during the early stages of the COVID-19 pandemic.Research hotspots present a dual theme of"clinical epide-miology as well as management of prevention and control"and"antimicrobial resistance mechanisms of pathogens".However,the existing talent system shows deficiency in interdisciplinary adaptability and the depth of international collaboration.Conclusion Over the past five years,global research on HAI has entered a normalized stage,and Chinese scholars play vital role in the dual-core pattern of China and the United States.From the perspective of ta-lents,it is necessary to formulate a development strategy for scientific and technological talents around research hotspots,including improving transnational collaboration mechanisms,innovating interdisciplinary training models,and establishing a dynamic adaptability evaluation system,so as to provide action guidance and policy references for talent development in this field.

Objective To investigate the safety of endoscopic inflatable thyroid surgery on elderly patients by comparing the clinical characteristics and incidence of postoperative complications between elderly and non-elderly patients.Methods A retrospective analysis of clinical data was conducted on 204 patients who underwent endoscopic inflatable thyroid surgery at The Second Affiliated Hospital of Xi'an Jiaotong University from May 2021 to August 2024.Based on propensity score matching(PSM),a total of 54 elderly patients(age ≥60 years)and 150 middle-aged and young patients(18-59 years)were selected for comparison of clinical data,surgical-related indicators,and postoperative outcomes between the two groups.Results After matching,baseline data in both groups exhibited no statistically significant differences(P＞0.05).There were no statistically significant variances(P＞0.05)in intraoperative blood loss,surgical time,postoperative drainage volume,Faces Pain Scale-Revised(FPS-R),hoarseness,or hypoparathyroidism between the two groups.Although the two groups differed significantly in the Charlson Comorbidity Index(CCI)and age-adjusted Charlson Comorbidity Index(aCCI)(P＜0.05),there were no significant differences in the postoperative delirium,acute cardiocerebrovascular events,hospitalization costs,or postoperative length of stay(P＞0.05).One patient in the elderly group had postoperative delirium and but recovered 5 days after surgery.Conclusion Although elderly patients have more chronic complications than non-elderly,endoscopic thyroid surgery in elderly patients with thyroid tumors remains safe and effective,which makes it deserve clinical application.

Objective To systematically analyze the research status,hotspots,and trends in the field of health-care-associated infection(HAI)in 2020-2025 globally,with a focus on exploring the development strategy of sci-entific and technological talents,and provide data support for talent cultivation,disciplinary layout,and evidence-based decision-making in this field.Methods Web of Science Core Collection was adopted as data source,and HAI-related literatures from January 2020 to January 2025 were retrieved.Bibliometric methods were employed with tools such as VOSviewer and Bibliometrix(R4.4.0)to conduct a cluster analysis on annual publication volume,countries/regions,authors,highly cited literatures,and keywords.The distribution characteristics,collaboration modes,and adaptability to research hotspots of scientific and technological talents in this field were also sorted out.Results A total of 9 566 literatures were included in the analysis.The annual publication volume peaked in 2021 and subsequently entered a high-level platform period with over 1 800 articles per year.China and the United States formed a dual-core research pattern,with Chinese scholars dominating the list of productive authors.Highly cited literatures were predominantly published in 2020-2021,mainly focusing on the clinical characteristics and HAI risks during the early stages of the COVID-19 pandemic.Research hotspots present a dual theme of"clinical epide-miology as well as management of prevention and control"and"antimicrobial resistance mechanisms of pathogens".However,the existing talent system shows deficiency in interdisciplinary adaptability and the depth of international collaboration.Conclusion Over the past five years,global research on HAI has entered a normalized stage,and Chinese scholars play vital role in the dual-core pattern of China and the United States.From the perspective of ta-lents,it is necessary to formulate a development strategy for scientific and technological talents around research hotspots,including improving transnational collaboration mechanisms,innovating interdisciplinary training models,and establishing a dynamic adaptability evaluation system,so as to provide action guidance and policy references for talent development in this field.

Objective To observe the correlation between cortical thickness and pathological deposition of β-amyloid(Aβ)in patients with Alzheimer disease(AD)induced mild cognitive impairment(MCI)or dementia.Methods Totally 22 AD patients were prospectively enrolled and divided into dementia group(n=12)and MCI group(n=10)based on the degree of cognitive impairment,while 17 healthy individuals without cognitive impairment were recruited as control group.MR examination and 18F-florbutaben(18F-FBB)PET imaging were performed,the cortical thickness and Aβ deposition value(Centiloid[CL]value)were calculated and compared among 3 groups and between each 2 groups,then the correlation between the above two indexes was analyzed.Results The cortical thickness in dementia group,MCI group and control group was(2.18±0.14),(2.35±0.08)and(2.36±0.09)mm,respectively,with significant difference among 3 groups(P＜0.05).The cortical thickness in dementia group was significantly thinner than that in MCI group and control group(both P＜0.05).CL value in dementia group,MCI group and control group was 77.97(63.07,95.55),65.51(54.54,90.50)and-1.17(-9.66,4.88),respectively,with significant difference among 3 groups(P＜0.05).CL value in dementia group and MCI group were significantly higher than in control group(both P＜0.05).The cortical thickness was moderately negatively correlated with CL value in MCI group(r=-0.580,P=0.048)but not in the other 2 groups(both P＞0.05).Conclusion The cortical thickness was moderately negatively correlated with abnormal deposition of Aβ in patients with AD induced MCI,but was not during dementia.

Fecal microbiota transplantation (FMT) has the potential to rebuild the intestinal microbiome of patients, which can influence the disease course, alleviate symptoms, or even cure the disease. It is seen as a promising breakthrough for treating major chronic diseases that are difficult to manage. Currently, FMT therapy has been clinically studied for over 80 diseases and has led to significant breakthroughs. However, there are still four main challenges: (1) identifying the effective characteristics of donor microbiota and ensuring precise matching between donors and recipients; (2) understanding the pathways and molecular mechanisms by which key FMT bacteria and metabolites improve disease outcomes; (3) studying strain interactions and colonization mechanisms to restore intestinal microbiota balance; and (4) refining the precision of microbiome and functional microbiota transplantation. To address these clinical challenges, this article reviews the latest research both domestically and internationally, outlines the response patterns of FMT therapy, examines the reasons behind FMT failure, and explores future directions for the development of FMT. The aim is to accelerate the scientific and precise advancement of FMT technology in China.

Real-time, noninvasive programmed death-ligand 1 (PD-L1) testing using molecular imaging has enhanced our understanding of the immune environments of neoplasms and has served as a guide for immunotherapy. However, the utilization of radiotracers in the imaging of human brain tumors using positron emission tomography/computed tomography (PET/CT) remains limited. This investigation involved the synthesis of [¹⁸F]AlF-NOTA-PCP2, which is a novel peptide-based radiolabeled tracer that targets PD-L1, and evaluated its imaging capabilities in orthotopic glioblastoma (GBM) models. Using this tracer, we could noninvasively monitor radiation-induced PD-L1 changes in GBM. [¹⁸F]AlF-NOTA-PCP2 exhibited high radiochemical purity (>95%) and stability up to 4 h after synthesis. It demonstrated specific, high-affinity binding to PD-L1 in vitro and in vivo, with a dissociation constant of 0.24 nM. PET/CT imaging, integrated with contrast-enhanced magnetic resonance imaging, revealed significant accumulation of [¹⁸F]AlF-NOTA-PCP2 in orthotopic tumors, correlating with blood-brain barrier disruption. After radiotherapy (15 Gy), [¹⁸F]AlF-NOTA-PCP2 uptake in tumors increased from 9.51% ± 0.73% to 12.04% ± 1.43%, indicating enhanced PD-L1 expression consistent with immunohistochemistry findings. Fractionated radiation (5 Gy × 3) further amplified PD-L1 upregulation (13.9% ± 1.54% ID/cc) compared with a single dose (11.48% ± 1.05% ID/cc). Taken together, [¹⁸F]AlF-NOTA-PCP2 may be a valuable tool for noninvasively monitoring PD-L1 expression in brain tumors after radiotherapy.

OBJECTIVE: To review the research progress of intelligent remote follow-up modes in the application after hip and knee arthroplasty. METHODS: Extensive literature on this topic published in recent years both domestically and internationally was reviewed, and the application of intelligent remote follow-up modes after hip and knee arthroplasty was summarized and analyzed. RESULTS: The intelligent remote follow-up mode is a novel follow-up method based on network information technology. Patients who undergo hip and knee arthroplasty require long-term follow-up and rehabilitation guidance after operation. Traditional outpatient follow-up is relatively time-consuming and inconvenient for some patients in terms of travel and transportation, which makes the application of intelligent remote follow-up modes increasingly widespread worldwide. The inherent attributes of remote interaction and instant feedback of this mode make it particularly valued in the field of hip and knee arthroplasty. Artificial intelligence (AI)-based voice follow-up systems and virtual clinics have significant advantages in improving follow-up efficiency, reducing human resource costs, and enhancing patient satisfaction. CONCLUSION The existing intelligent follow-up system has formed a standardized protocol in remote follow-up and rehabilitation guidance. However, there are still shortcomings in the formulation of personalized rehabilitation plans and the gerontechnological adaptation of human-computer interaction. In the future, it is necessary to construct a multimodal data fusion platform and establish technical application guidelines for different rehabilitation stages.
Humans ; Arthroplasty, Replacement, Knee/rehabilitation* ; Arthroplasty, Replacement, Hip/rehabilitation* ; Artificial Intelligence ; Follow-Up Studies ; Telemedicine

Objective:To investigate the present situation and influencing factors of hearing loss among noise exposed workers in a gas production plant, and to provide basis and guidance for enterprises to prevent hearing loss.Methods:In November 2023, a cross-sectional survey was conducted among personnel exposed to noise in a gas production plant. A total of 380 questionnaires were collected, among which 319 were valid resulting in an effective recovery rate of 83.9%. Ultimately, 292 were included in the study. The questionnaire covered demographic characteristics, work conditions, behavioral and lifestyle habits, hearing loss, and medical history. The noise exposure levels of the research subjects were determined based on the occupational disease hazard factor detection reports provided by the gas production plant for 2022 and 2023. Whether hearing loss occurred was determined based on the pure tone audiometry results from the occupational health examination. Chi-square tests were used to analyze the influence of demographic characteristics, work conditions, and behavioral and lifestyle habits on hearing loss. A multivariate logistic regression model was used to analyze the relationship between hearing loss and related influencing factors.Results:Among the noise-exposed workers in the gas production plant, the incidence of high-frequency hearing loss was 14.4% (42/292) . The rate of hearing loss among men was higher than that among women ( P=0.010) , and the rate of hearing loss among those with a history of smoking was higher than that among those who had never smoked ( P=0.015) . Conclusion:Gas production enterprises should prioritize targeted interventions for workers with prolonged employment histories and smoking habits. Training programs should be implemented to cultivate proper ear protection practices, enhance knowledge of hearing conservation, and promote healthier lifestyle behaviors among employees.

Objective:To investigate the potential value of cerebral glucose metabolism characteristics in anti-leucine-rich glioma-inactivated protein 1 (LGI1) antibody-related encephalitic patients during acute phase as the clinical indicator of disease outcomes.Methods:From October 2019 to December 2023, 28 patients (18 males, 10 females; age (56.6±11.9) year) with anti-LGI1 antibody-related encephalitis diagnosed at Huashan Hospital, Fudan University were prospectively enrolled. All patients received baseline brain 18F-FDG PET imaging and were divided into different subgroups according to the prognosis (good prognosis and poor prognosis groups) and recurrence (recurrence and non-recurrence groups) after follow-up. The difference of Montreal Cognitive Assessment (MoCA) score between the two groups was compared by Mann-Whitney U test. Statistical parametric mapping (SPM) analysis was used to analyze the PET images of different groups by independent-sample t test, and the characteristics of cerebral glucose metabolism of patients with different outcomes were obtained. Results:MoCA scores between the recurrence group ( n=6) and the non-recurrence group ( n=22; 14.0(9.8, 20.5) vs 22.0(18.0, 24.0); Z=2.17, P=0.030), and between the poor prognosis group ( n=13) and the good prognosis group ( n=15; 14.0(10.0, 22.0) vs 22.0(19.8, 25.3); Z=2.47, P=0.013) were significantly different. Compared with the good prognosis group, the cerebral glucose metabolism in the poor prognosis group was decreased in the bilateral frontal lobe, lateral temporal lobe, inferior parietal lobule and cingulate gyrus, but increased in the brainstem, bilateral lentiform nucleus and bilateral paracentral lobule/postcentral gyrus (all t=1.71, all P<0.05). Compared with the non-recurrence group, the metabolism of bilateral medial frontal gyrus, anterior cingulate gyrus, bilateral insula, superior temporal gyrus and thalamus decreased in the recurrence group, while the metabolism of bilateral precentral gyrus, inferior frontal gyrus and bilateral lentiform nucleus increased (all t=1.71, all P<0.05). Conclusion:18F-FDG PET imaging reveals the differences in brain metabolism of anti-LGI1 antibody-related encephalitic patients at baseline with different outcomes (prognosis, recurrence or not), which can provide a new perspective for the clinical evaluation of the disease at baseline.