Management Center Research Articles

Diverse Care Needs Assessment for Older Adults in China: A Latent Profile Analysis Study.

Grasping the nuanced needs of older adults is paramount for the efficacious provision of day-care services. Our study sought to identify the demand patterns for day-care services in China and to explore the underlying factors. This study aims to offer useful evidence that can refine nursing care strategies and guide policy development within day-care settings. We implemented a comprehensive electronic survey comprising 46 questions targeting older adults across nine day-care centers in Nanjing, China. Employing latent profile analysis (LPA), we systematically examined and categorized the demand characteristics for day-care services. This analysis was conducted using Mplus version 8.3 and SPSS version 26.0 software, ensuring a rigorous and precise methodological approach. Our study involved a comprehensive survey of 1016 older adults. The participants were categorized into three groups based on their demand for day-care services: high demand (n = 127), medium demand (n = 197), and low demand (n = 692). The low-demand group exhibited higher levels of social support and better activities of daily living (ADL) scores compared to their counterparts. Multivariate regression analysis indicated that older adults characterized by male gender, advanced age, higher levels of education, receipt of support from a child, presence of chronic diseases, and lower social support and ADL scores exhibited a statistically significant inclination towards moderate to high demand for day-care services (p <0.05). The demand for day-care services for older adults in China is intricately influenced by a complex array of interrelated factors. Tailoring service offerings to meet the varied physical and emotional needs of older adults is essential, with a particular focus on health and wellness management in day-care centers.

Real-world long-term outcomes of peripheral nerve stimulation: a prospective observational study.

We aimed to evaluate real-world outcomes of peripheral nerve stimulation (PNS) used to treat chronic neuropathic pain (CNP) at a tertiary pain management center. Thirty adults who underwent PNS for CNP between June 2015 and September 2021 completed pain and psychosocial assessments in the 6 months before, and 2-3 years after PNS treatment. Pain intensity was measured using the NIH Patient Reported Outcomes Measurement Information System (PROMIS) Pain Intensity Short From (3A). Psychosocial outcomes including depression, anxiety, and sleep disturbance were also measured. Prior to receiving PNS, long-term responders reported significantly fewer depressive symptoms compared to non-responders (PROMIS depression t-score 50.3 [10.7] vs 57.9 [8.9]; p-value = 0.05). Eleven participants (36.7%) reported long-term treatment response. There was a significantly greater improvement in pain intensity among responders compared to non-responders who reported increased pain (PROMIS Pain Intensity score -9.0 [-4.2] vs. +3.1[+3.2]; p-value < 0.0001). Patients report clinically meaningful long-term pain relief after receiving PNS through both 60-day and permanent implant systems, with significant reductions in pain intensity observed in long-term responders. Long-term responders reported fewer depressive symptoms compared to non-responders prior to receiving therapy, emphasizing the importance of psychological screening and psychological optimization prior to receiving PNS.

Out-of-Distribution Detection via outlier exposure in federated learning.

Among various out-of-distribution (OOD) detection methods in neural networks, outlier exposure (OE) using auxiliary data has shown to achieve practical performance. However, existing OE methods are typically assumed to run in a centralized manner, and thus are not feasible for a standard federated learning (FL) setting where each client has low computing power and cannot collect a variety of auxiliary samples. To address this issue, we propose a practical yet realistic OE scenario in FL where only the central server has a large amount of outlier data and a relatively small amount of in-distribution (ID) data is given to each client. For this scenario, we introduce an effective OE-based OOD detection method, called internal separation & backstage collaboration, which makes the best use of many auxiliary outlier samples without sacrificing the ultimate goal of FL, that is, privacy preservation as well as collaborative training performance. The most challenging part is how to make the same effect in our scenario as in joint centralized training with outliers and ID samples. Our main strategy (internal separation) is to jointly train the feature vectors of an internal layer with outliers in the back layers of the global model, while ensuring privacy preservation. We also suggest an collaborative approach (backstage collaboration) where multiple back layers are trained together to detect OOD samples. Our extensive experiments demonstrate that our method shows remarkable detection performance, compared to baseline approaches in the proposed OE scenario.

Structural reversal of disc cupping measured in Bruch’s membrane opening-based OCT morphometry after PRESERFLO microshunt implantation for open-angle glaucoma

Background/ AimsTo analyze the longitudinal change in Bruch’s membrane opening minimal rim width (BMO-MRW) and peripapillary retinal nerve fiber layer (pRNFL) thickness using optical coherence tomography (OCT) after implantation of a PRESERFLO® microshunt for surgical glaucoma management in adult glaucoma patients.MethodsRetrospective data analysis of 59 eyes of 59 participants undergoing implantation of a PRESERFLO microshunt between 2019 and 2022 at a tertiary center for glaucoma management. Surgical management included primary temporary occlusion of the glaucoma shunt to prevent early hypotony. Pre- and post-operative OCT examinations of the optic nerve head (ONH) and intraocular pressure (IOP) were assessed. Longitudinal change in morphometric spectral domain OCT parameters of the ONH was correlated to change in IOP.ResultsBMO-MRW increased significantly between baseline (BL) and follow-up (FU) within the first three months after surgery (BL = 171.15 ± 66.80 μm; FU = 180.78 ± 70.394 μm; p = 0.034). For the same postoperative period, the mean preoperative IOP of 24.97 ± 7.22mmHg was lowered after surgery to 13.70 ± 5.09 mmHg. Eighteen months after surgery, there was no significant change in BMO-MRW compared to baseline (BL = 169.83 ± 52.69 μm; FU = 164.98 ± 55.85 μm; p = 0.271), while mean IOP was 13.08 ± 4.48 mmHg. A decrease in IOP correlated significantly with a change in BMO-MRW (r = 0.453, p < 0.05) three months after surgery. Peripapillary RNFL thickness was unchanged in follow-up after three months (p > 0.16) and significantly decreased in later follow-up (p = 0.009).ConclusionPRESERFLO® microshunt implantation with primary temporary occlusion leads to a significant transient increase in BMO-MRW. This phenomenon is also known as structural reversal of disc cupping (SRDC). The effect seems to be less pronounced and of shorter duration when compared to previous data after trabeculectomy with comparable pre- and postoperative IOP levels.

Revamping field practicum: insights for future health services management professionals

BackgroundThe effectiveness of Health Services Management curricula relies heavily on practical experiences that reflect the evolving needs of the healthcare sector. This study focuses on revising Field Practicum 4 for undergraduate students to better prepare them for leadership roles in healthcare.MethodsThis qualitative and cross-sectional case study was conducted during the 2022–2023 academic year at Zabol University of Medical Sciences. Data were collected through semi-structured, in-depth interviews and document analysis of the undergraduate curriculum. Purposeful sampling was used to select a diverse group of interviewees, including faculty members, healthcare managers, graduates, and current students, with a total of 38 interviews conducted until data saturation was reached. Thematic analysis was performed using MAXQDA software version 11. The CIPP (Context, Input, Process, Product) evaluation model was applied to systematically assess and enhance the practicum program.For the quantitative data analysis, SPSS version 23 was utilized.ResultsThe central finding from this study was the enhancement of productivity in Field Practicum 4. Thirteen core issues were identified and categorized into primary codes, including causal, contextual, intervening, focal, strategies, and outcomes. To achieve desirable outcomes through a fundamental revision strategy, it was decided that, in addition to students’ presence in hospitals (including the office of senior hospital managers and the quality improvement and accreditation unit), students should also be present in the deputyships and central units of Zabol University of Medical Sciences (treatment, resource development and management, food and drug administration, and the center for management of medical emergencies). Furthermore, students should engage with the county health insurance organization and a private insurance company to gain comprehensive familiarity with their operations. The level of consensus among the faculty members of the Health Services Management Department was at least 90%. The findings indicate that both students and internship supervisors generally rated the program positively (Mean > 4.5), although areas for improvement are highlighted, particularly in aspects of process and product.ConclusionsThe study concludes that revising Field Practicum 4 using the CIPP model provides a structured approach to enhancing practical training for Health Services Management students. Implementing these modifications in the apprenticeship syllabus is expected to improve the capabilities of graduates, better preparing them to meet the needs of healthcare system.

Deep learning reveals diverging effects of altitude on aging.

Aging is influenced by a complex interplay of multifarious factors, including an individual's genetics, environment, and lifestyle. Notably, high altitude may impact aging and age-related diseases through exposures such as hypoxia and ultraviolet(UV) radiation. To investigate this, we mined risk exposure data (summary exposure value), disease burden data (disability-adjusted life years (DALYs)), and death rates and life expectancy from the Global Health Data Exchange (GHDx) andNational Data Management Center for Health of Ethiopiafor each subnational region of Ethiopia, a country with considerable differences in the living altitude. We conducted a cross-sectional clinical trial involving 227 highland and 202 lowland dwellers from the Tigray region in Northern Ethiopia to gain a general insight into the biological aging at high altitudes. Notably, we observed significantly lower risk exposure rates and a reduced disease burden as well as increased life expectancy by lower mortality rates in higher-altitude regions of Ethiopia. When assessing biological aging using facial photographs, we found a faster rate of aging with increasing elevation, likely due to greater UV exposure. Conversely, analysis of nuclear morphologies of peripheral blood mononuclear cells(PBMCs) in blood smears with five different senescence predictors revealed a significant decrease in DNA damage-induced senescence in both monocytes and lymphocytes with increasing elevation. Overall, our findings suggest that disease and DNA damage-induced senescence decreases with altitude in agreement with the idea that oxidative stress may drive aging.

Correlation between serum high-density lipoprotein cholesterol and bone mineral density in vitamin D-deficient populations.

To investigate the relationship between serum high-density lipoprotein (HDL) cholesterol and bone mineral density (BMD) in vitamin D-deficient population. This study was a cross-sectional study. From January to December 2020, 2583 middle-aged and older adult aged 40 and above were randomly selected in the Health Management Center of the Affiliated Hospital of Guizhou Medical University for health examination and questionnaire survey. The correlation was determined by Pearson correlation method, and the independent correlation was analyzed by multiple linear regression. The receiver Operating characteristic (ROC) curve estimates HDL-C cutoff levels for predicting osteoporosis risk. The prevalence of osteoporosis in the study population was 11.4%, the overall prevalence of 25 (OH) D deficiency was 78.2%. There was no correlation between HDL-C and BMD of lumbar spine, femoral neck and total hip in normal vitamin D group (P > 0.05). HDL-C in the deficient group was negatively correlated with BMD of lumbar spine and femoral neck (P < 0.05), but not with BMD of total hip. Serum HDL-C concentration increased with the progression of osteoporosis. When serum 25 (OH) D level was lower than normal level, HDL-C ≥ 1.215mmol/L was an independent predictor of osteoporosis (sensitivity = 75%, specificity = 53%, Area = 0.625). HDL-C was inversely associated with BMD in the lumbar spine and femoral neck in people aged 40years and older with vitamin D deficiency. When serum HDL-C concentration ≥ 1.215mmol/L, it can better predict the occurrence of osteoporosis.

Development of an open access systematic review instructional video series accessible through the SPI-HubTM website

Given the key role of systematic reviews in informing clinical decision making and guidelines, it is important for individuals to have equitable access to quality instructional materials on how to design, conduct, report, and evaluate systematic reviews. In response to this need, Vanderbilt University Medical Center’s Center for Knowledge Management (CKM) created an open-access systematic review instructional video series. The educational content was created by experienced CKM information scientists, who worked together to adapt an internal training series that they had developed into a format that could be widely shared with the public. Brief videos, averaging 10 minutes in length, were created addressing essential concepts related to systematic reviews, including distinguishing between literature review types, understanding reasons for conducting a systematic review, designing a systematic review protocol, steps in conducting a systematic review, web-based tools to aid with the systematic review process, publishing a systematic review, and critically evaluating systematic reviews. Quiz questions were developed for each instructional video to allow learners to check their understanding of the material. The systematic review instructional video series launched on CKM’s Scholarly Publishing Information Hub (SPI-HubTM) website in Fall 2023. From January through August 2024, there were 1,662 international accesses to the SPI-HubTM systematic review website, representing 41 countries. Initial feedback, while primarily anecdotal, has been positive. By adapting its internal systematic review training into an online video series format suitable for asynchronous instruction, CKM has been able to widely disseminate its educational materials.

The Data Heterogeneity Issue Regarding COVID-19 Lung Imaging in Federated Learning: An Experimental Study

Federated learning (FL) has emerged as a transformative framework for collaborative learning, offering robust model training across institutions while ensuring data privacy. In the context of making a COVID-19 diagnosis using lung imaging, FL enables institutions to collaboratively train a global model without sharing sensitive patient data. A central manager aggregates local model updates to compute global updates, ensuring secure and effective integration. The global model’s generalization capability is evaluated using centralized testing data before dissemination to participating nodes, where local assessments facilitate personalized adaptations tailored to diverse datasets. Addressing data heterogeneity, a critical challenge in medical imaging, is essential for improving both global performance and local personalization in FL systems. This study emphasizes the importance of recognizing real-world data variability before proposing solutions to tackle non-independent and non-identically distributed (non-IID) data. We investigate the impact of data heterogeneity on FL performance in COVID-19 lung imaging across seven distinct heterogeneity settings. By comprehensively evaluating models using generalization and personalization metrics, we highlight challenges and opportunities for optimizing FL frameworks. The findings provide valuable insights that can guide future research toward achieving a balance between global generalization and local adaptation, ultimately enhancing diagnostic accuracy and patient outcomes in COVID-19 lung imaging.

The Influence of Upskilling, Communication Capability and Digital Capability on Employee Performance with Innovation as an Intervening Variable at PT PLN (Persero) Pusmanpro

PT PLN (Persero) Project Management Center or called (PLN Pusmanpro) in carrying out its activities managing electricity project management, both power plant projects, transmission, substations and rehabilitation projects, opens opportunities for its employees to innovate in the fields of technology and information systems. The problems that arise in the implementation of the use of the Assignment Monitoring and Reporting System (SIMPP) are that the implementation of this application has been running since 2015 and is still using the old version, then there is no indicator that the use of SIMPP can provide work enthusiasm for employees, because the development of the use of information technology is rapidly changing and increasingly sophisticated, and the level of employee communication and innovation is still relatively poor because there are still limitations to the features in this SIMPP application. The purpose of this study was to determine the effect of upskilling, communication and digital capability on employee performance with innovation as an intervening variable. This study uses a quantitative method with primary data sources obtained from distributing questionnaires. The population of this study were all employees at PLN Pusmanpro. The selection of respondents was carried out using the saturated non-probability sampling method with a total of 126 respondents. The data analysis method uses descriptive analysis and SEM-PLS analysis. The results of the study indicate that the variables of upskilling, communication and digital capability have a positive and significant effect on employee performance through employee innovation at PT PLN Pusmanpro.

Penerapan Akuntansi Pertanggungjawaban sebagai Alat Penilaian Kinerja Manajer Pusat Biaya pada PT. Semen Indonesia Logistik

PT. Semen Indonesia Logistik, as a logistics service provider company, plays a strategic role in supporting Indonesia's economic dynamics. This research aims to determine the extent to which responsibility accounting is implemented as a tool to assess the performance of cost center managers at PT. Semen Indonesia Logistik in supporting the achievement of company objectives. Responsibility accounting is one of the most important components of overall control in a company. This research uses a qualitative descriptive method with a case study approach. The analysis results show that PT. Semen Indonesia Logistik has implemented responsibility accounting optimally. This can be seen from the responsibility accounting requirements that have been implemented, including the organizational structure that has described the authority and responsibility of each level of manager in the company. The company has carried out budget preparation by classifying controllable and uncontrollable costs, account code classification, and responsibility reports. The implementation of responsibility accounting plays an important role in determining responsibility centers, making it easier for managers to evaluate their performance according to established responsibilities. The performance assessment standard at PT. Semen Indonesia Logistik uses Key Performance Indicators (KPI) that must be achieved within one period.

Machine Learning-Based Anomaly Prediction for Proactive Monitoring in Data Centers: A Case Study on INFN-CNAF

Anomaly prediction in time series is crucial for ensuring the stability and security of data centers, especially in scientific contexts such as INFN-CNAF, the National Center for Research and Development in Information and Communication Technology of the National Institute for Nuclear Physics. At INFN-CNAF, large volumes of heterogeneous data critical to international experiments are managed using dedicated monitoring systems. To ensure continuous availability, artificial intelligence solutions are being explored to detect anomalies and predict potential failures proactively. This work presents a machine learning-based approach for automatic anomaly prediction in the operational metrics of INFN-CNAF’s WebDav service. We evaluate several methods, including Long Short-Term Memory, Random Forest, and various neural networks, assessing their Accuracy and sensitivity in distinguishing normal from anomalous behaviors. The results demonstrate the effectiveness of these methods, not only in predicting anomalies but also in pinpointing critical areas within monitored metrics. This contributes to more proactive IT resource monitoring and enhances data center management efficiency.

The clinical effects of continuous nursing intervention combined with chronic disease management center in patients with severe hypertension.

The construction and application of chronic disease management centers are increasing. However, the effect of continuing nursing combined with intervention measures provided by chronic disease management centers in patients with severe hypertension is still unclear. To analyze the application effect of continuous nursing intervention combined with chronic disease management center in patients with severe hypertension. 240 patients with severe hypertension were randomly divided into control group (N = 120) and study group (N = 120). The study group adopted the intervention measures of continuous nursing combined with chronic disease management center, while the control group adopted routine nursing. The nursing effects of the 2 groups were compared. After nursing, the short form 36-item health survey, total satisfaction rate and medication compliance rate of the study group were higher than those of the control group (P < .001). Blood pressure, self-rating anxiety scale, and self-rating depression scale scores were lower than those of the control group (P < .05). Continuing nursing combined with the intervention of chronic disease management center can effectively reduce the blood pressure of patients with severe hypertension, and the overall nursing effect is remarkable.

Design of an information system for the management, visibility, and scientific positioning in research centers: CRIS-AGROSAVIA System study case

This research focused on the use of technology to facilitate the management of resources, products, and knowledge services in research, development, and innovation (R+D+i) organizations. Specifically, it highlighted how Current Research Information Systems (CRIS) could be employed for this purpose. The study aimed to develop and implement a CRIS information system at the AGROSAVIA Research Center, with an emphasis on integrating the system with institutional repositories and external/internal systems to manage scientific and technological knowledge assets effectively.Methods:The process of creating the CRIS involved several stages: planning, requirements analysis, system design, development, and implementation. Key elements included the deployment of system interfaces for the target audience (stakeholders of the National System of Science, Technology, and Innovation) and the use of a recognized data model (CERIF standard) to enhance metadata generation, ensure standardization, and enable interoperability with external and internal systems.Results:The system was designed with two primary interfaces: a public version for the external scientific community and a corporate version for internal users of the research center. The CERIF-based data model facilitated repository structuring and the loading of an initial data baseline, supporting effective data management and decision-making processes.Conclusion:This study provides a valuable case for those looking to build information systems for knowledge management. The CRIS developed at AGROSAVIA acted as a tool for process evaluation, scientific communication, and dissemination, offering key insights into the technological architecture, data management model, and technological deployment required for such systems

Regulatory framework for e-documentation and cyber protection amidst society's digital shift

Introduction: Ukraine's active integration into the European community emphasises the crucial role of digital technologies in ensuring the population's welfare and the country's economic growth. Studying the peculiarities of electronic document management in the EU countries will help avoid mistakes and develop an effective system that will meet European standards in many countries on the way to Europeanisation. Objectives: analyse the legal aspects of electronic document management, identify security issues in the information space in Ukraine, and assess Ukrainian e-justice compliance with European standards in the context of digital transformation. Methods: It was conducted using general scientific methods, including analysis of legal documents, generalisation, synthesis, system analysis, analytical diagnostics, and statistical data analysis.Results: It is proved that the legal support of the electronic document management system ensures centralised management of documents, their entire life cycle, collaboration, confidentiality, automatic routing and integration with other systems by the legal documents establishing the legal framework on which the relations between the participants to the process are built, defining their rights, duties and responsibilities. Conclusion: The article identifies the main areas of development and problematic aspects of implementing the e-justice system at the current stage of its formation, as well as the prospects for introducing new technologies in this area

Impact of Standardized Heart Failure Management Center Construction on the Management of Patients With Chronic Heart Failure.

Heart failure is extremely harmful to human health and social economics. The purpose of standardized heart failure management center (SHFMC) is to correct the non-standardization of heart failure treatment. SHFMC has a positive impact on the management and prognosis of patients with chronic heart failure (CHF). The SHFMC database of Jiaxing First Hospital was retrospectively analyzed. Two hundred sixty-three patients with CHF who were hospitalized in the cardiovascular medicine department of Jiaxing First Hospital in Zhejiang Province from January 2020 to December 2020 were identified as study subjects. The SHFMC opening day, July 1, 2020, was used as the dividing line around which the patients were divided into Group A (before the completion of SHFMC, n = 137) and Group B (after, n = 126). The baseline data, treatment standardization, long-term efficacy, 1-year all-cause mortality, and readmission rate of the two groups were compared. The use of angiotensin receptor enkephalinase inhibitors (ARNIs), β-blockers (β-Bs), and sodium-glucose cotransport protein 2 inhibitors (SGLT2is) increased significantly, and the long-term outcome, readmission rate, and 1-year all-cause mortality of patients improved in group B. The construction of SHFMC has been associated with consistent improvements in the standardization of CHF treatment, long-term patient outcomes, 1-year cumulative survival rates, and readmission rates.

Relationship Between Treatment Hours of Selected Disciplines and Change in Pain Impact During the Year Following Referral to an Interdisciplinary Pain Management Center: A Latent Class Analysis.

Introduction: Pain management clinics differ in treatments offered, and little evidence exists regarding which combinations of therapies result in best outcomes. This study analyzed clinical encounters and pain outcomes data for associations between treatment composition and outcomes. Methods: Retrospective observational study of 2,142 predominantly active-duty US service members referred to an interdisciplinary pain management center between 2014 and 2021. Latent class analysis was used to identify treatment groups with distinct outcome patterns during the year following initial assessment. The primary outcome measure was the National Institutes of Health Task Force on Research Standards for Chronic Low-Back Pain impact score. Results: Four distinct treatment groups were identified: 1 group engaged in conventional medical therapies alone (n = 726, median 3.5 treatment hours), and 3 groups used a combination of conventional, psychological, rehabilitative, and complementary therapies, with different levels of treatment hours: low (n = 814, median 15.7 h), medium (n = 177, median 40.1 h), and high (n = 425, median 72.5 h). All groups showed significant improvement in pain impact score from baseline up to 9 months but not at 12 months following initial assessment. At the 6-month time point, the group with high multimodal treatment hours had the most improvement in pain impact (-3.1 [95% CI -3.8, -2.4]) compared with the group using only conventional therapies (-1.0 points [95% CI -1.8, -0.1]) or with low multimodal treatment hours (-1.3 points [95% CI -1.9, -0.7]). There were no between-group differences at the 9- or 12-month time points. Conclusion: These results suggest that a combination of pain therapy approaches results in greater reduction in pain impact than the use of conventional medical treatment alone for up to 6 months after initiating therapy and that there may be a threshold of treatment hours that must be exceeded to achieve this benefit. Clinical trial registration: As this study is not a clinical trial, no registration was required.

Registered Nurses' Experience of Person-Centred Care Through Digital Aids in Primary Care Setting During the COVID-19 Pandemic.

The aim of this study was to describe registered nurses' experience of person-centred care through digital media during the COVID-19 pandemic. The first wave of COVID-19 took healthcare services worldwide by surprise and affected all levels of care. Registered nurses within primary care settings had to adjust to new meeting forums with patients and in collaborations with other organisations to transfer patients from hospital to home care in a safe and secure manner using digital aids. Interviews with 17 registered nurses within primary care settings were conducted. Interviews were transcribed verbatim and analysed using qualitative content analysis. Qualitative using semi-structured interviews. Digitalisation requires organisational changes, with four subcategories. The second category, digitalisation, facilitates person-centred care, with two subcategories. Main findings showed digitalisation as a possibility to enhance person-centred care to benefit the individual. The patients would have the possibility of obtaining professional care in their own home, enhancing the continuation of care. Digitalisation of primary care tasks demanded organisational changes of different kinds. This meant implementing innovative digital tools or artificial intelligence and developing a mental frame of mind that embraces new ways and activities to perform primary care through technology. Registered nurses saw enhancement of person-centred care through digital media as something positive. However, they also voiced concerns that some patients, such as self-damaging teenagers, new patients and multi-sick patients, would be unsuitable for digital meetings. They also emphasised that the digitalisation of person-centred care requires organisational changes. The study addressed the problems faced by the rapid conversion from traditional face-to-face care to digital care in the beginning of the COVID-19 pandemic within a primary care setting. There is a need for continued education on best communication practices with a primary focus on person-centred care. Since communication is key in the continuation of care, this needs to be addressed by both health centre management and educators.

Identifying victims and types of Gender Based Violence among survivors visiting One-Stop Crisis Management Center(OCMC) of Bharatpur Hospital

Identifying victims and types of Gender Based Violence among survivors visiting One-Stop Crisis Management Center(OCMC) of Bharatpur Hospital

BASIC AND CLINICAL ASPECTS OF VASCULAR AGING

Abstract Vascular aging (VA) is an important pathophysiological contributor to the aging process. In response to China’s aging population, a hierarchical “Standardized Vascular Aging Management Center (VMC)” network, with Tongji Hospital in Wuhan as the central hub, was established in 2023 to offer comprehensive vascular aging (VA) management nationwide. This initiative encompasses assessment, stratification, and intervention strategies for VA, a key factor in the aging of human organs and systems and a common denominator in the chronic diseases of aging. Our research delves into the cellular and molecular dynamics of VA, examining the effectiveness of pharmaceutical interventions against vascular stiffness and investigating cellular aging mechanisms such as metabolic changes, ferroptosis, mitochondrial dysfunction, and senescence-associated secretory phenotype (SASP), alongside key factors like SOX9, Nrf2, and FGF21. Furthermore, we are launching a national cohort study and conducting randomized trials on novel drugs to bridge clinical and basic research findings. This integrated approach aims to detect early VA signs, enabling timely interventions to mitigate chronic elderly diseases, foster healthy aging, and effectively tackle the implications of an aging demographic. By developing an integrated VA research and application platform that facilitates seamless translation between basic and clinical settings, we aim to identify early signs of VA and implement appropriate interventions to delay and manage this process. Ultimately, our efforts aim to reduce chronic disease in the elderly, promote healthy aging and more effectively address the challenges of an aging society.