Significant Factors Research Articles

Analyzing Bilateral Trade Dynamics between Azerbaijan and Pakistan: A Robust Least Squares Regression Approach

<p class="MsoNormal" style="margin-top: 12pt; text-align: justify;"><span lang="EN-US" style="font-family: 'times new roman', times, serif; font-size: 14pt;">The diplomatic relations between Azerbaijan and Pakistan have undergone significant development since the late 1990s. Despite some studies focusing on diplomatic and political relations, the economic dimension of this partnership has not been systematically covered. In this paper, a robust least squares (RLS) approach is used to model bilateral trade between the two countries and identify statistically significant determinants, including economic, institutional, and cultural factors, after analyzing the main economic and subsectoral trade dynamics of both countries. The results reveal that Azerbaijan's imports from Pakistan are significantly associated with the country's higher income and market size, while Pakistan's elevated exchange rate and trade costs hinder bilateral trade. In addition, Pakistan's rising manufacturing output increases exports to Azerbaijan but decreases imports from Azerbaijan. Among institutional determinants, government effectiveness, the trade freedom index (TFI), and political stability play significant roles in bilateral trade. Lastly, it was found that cultural proximity increases Pakistani exports to Azerbaijan but not imports from Azerbaijan. The analysis also indicates that domestic savings stimulate Pakistani exports. These findings underscore the complex nature of bilateral trade between Azerbaijan and Pakistan and highlight the need for institutional arrangements to harmonize trade flows and boost welfare gains from trade. The results may be of great importance to intergovernmental working groups, domestic policymakers, and businesses.</span></p>

Endothelial Cell Aging and Autophagy Dysregulation.

Entropy is a natural process that affects all living cells, including senescence, an irreversible physiological process that impairs cell homeostasis. Age is a significant factor in disease development, and the pathogenesis of endothelial cell aging is multifactorial. Autophagy dysfunction accelerates endothelial cell aging and cell death, while autophagy preserves endothelial cell youthfulness through intracellular homeostasis and gene expression regulation. Sirt, mTORC1, and AMPK are youthfulness genes that induce autophagy by inhibiting mTOR and upregulating FIP200/Atg13/ULK1. Aged endothelial cells have decreased levels of Lamin B1, γH2AX, Ki67, BrdU, PCNA, and SA β-Gal. Maintaining healthy young endothelial cells can prevent most cardiovascular diseases. Autophagy targeting is a potential future therapeutic strategy to modify endothelial cell age and potentially slow or reverse the aging process. This article provides state-of-the-art research on the role of autophagy in endothelial cell aging. Hypothesizing that autophagy dysregulation is associated with early endothelial cell dysfunction and further clinical sequelae, including atherosclerosis formation, leading to various cardiovascular diseases.

HISTORICAL ASPECT OF THE EVOLUTION OF THE URBAN VISUAL INFORMATION ENVIRONMENT

The article analyses the nature of changes in the urban visual information environment in the context of historical development of European urban culture from ancient times to the present. The system of periodisation of its evolution is proposed on the basis of the revealed role of outdoor information objects in the system of urban visual communication. The dependence of the visual appearance of the urban environ-ment on information-technical achievements is investigated. The role of visual information objects as a sig-nificant city-forming factor is actualised. The typology of information objects is given and their role in the process of changing the image of the city at different stages of its development is considered.

Geotourism Potentiality of Fossil Park Using Swot Matrix and Analytical Hierarchy Process (AHP) for Amkhoi Wood Fossil Park, Birbhum District, West Bengal, India

Geoparks are a new tourism form integrating geography and local development, focusing on geological conservation, marketing, and local culture. Geotourism Ecosystem aims to build a stronger network of geoparks. Amkhoi Wood Fossil Park in Birbhum, India, houses 20 million-year-old angiosperm wood fossils. It has been designated a Biodiversity Heritage Site, which aims to protect natural heritage, educate tourists, preserve fossils, and create jobs. Wood fossils from West Bengal, India's, Amkhoi Fossil Park are well known for offering insights into the natural history of the area. The transformation of wood into stone through the process of petrification brings to light natural occurrences such as tree falls and mineral infiltration. The most well-known fossils in the park are from the Glossopteris genus, which represents the Permian period's prehistoric vegetation. Miocene angiosperm wood fossils shed light on the ecological dynamics and evolutionary history of the area. The fossil record of the Anacardiaceae family indicates the warm, humid environment of the area. Using the Saaty scale, the study analyzed the SWOT components and used Eigenvalues to determine each factor's significance. At 54.4%, opportunities have the most weight, followed by vulnerabilities, threats, and strengths. The development of geotourism in the research area is least affected by risk factors. Each SWOT group's high local priority SWOT variables were selected. The greatest potential existed for government officials to give tourism planning more attention. Some of the weaknesses were unusual geological features, insufficient infrastructure, and low awareness. Particularly rare fossils and a geological fossil park are two of the study area's advantages.

Predictive role of monocyte count for significant coronary artery disease identification in patients with stable coronary artery disease.

The coronary artery disease (CAD) remains the leading cause of morbidity that is characterized by broad spectrum of symptoms. Up to 30% of performed angiographies reveal normal coronary arteries. The aim of the study was to find simple predictor for significant epicardial artery stenosis among patients with chronic coronary syndrome. There were 187 patients (131 (709%) men and 56 (30%) women) in the median (Q1-Q3) age of 67 [58-72] presenting with stable CAD symptoms enrolled into the present retrospective analysis. The demographical, clinical and laboratory characteristics between patients with normal and significant coronary artery stenosis were compared. The multivariable analysis revealed coexistence of hypercholesterolemia as significant differentiation factor (odds ratio [OR]: 4.38, 95% confidence interval [CI]: 1.78-10.80, p = 0.001) for significant CAD and inverse relation to serum high density lipoprotein (OR: 0.19, 95% CI: 0.05-0.72, p = 0.015) and relation to creatinine concentration (OR: 1.03, 95% CI: 1.00-1.05, p = 0.012). Among whole peripheral blood count analysis, the significant relation was noticed to be hemoglobin concentration (OR: 1.09, 95% CI: 1.10-1.18, p = 0.022) and monocyte count (OR: 32.3, 95% CI: 1.09-653.6, p = 0.017). Receiver operator curve revealed (AUC: 0.641, p = 0.001) with the optimal cut-off value above 0.45 K/uL for monocyte, yelding sensitivity of 81.82% and specificity of 58.06%. The peripheral monocyte count above 0.45 k/uL may be considered as a predictor of significant coronary artery disease in symptomatic patients with chronic coronary syndrome.

The role of Passion and Self-Efficacy in entrepreneurial activities in the gig economy: An Unsupervised Machine Learning Analysis with Topic Modeling

This research examines passion and self-efficacy through experience and knowledge, as motivational factors that support entrepreneurs within the gig economy (GE). It sheds light on entrepreneurs’ sources of passion in the GE literature. The sample is composed of all the 1164 entrepreneurship activities offered worldwide through Airbnb, Tour by Locals, and Withlocals on 5 May 2022. The study is supported by unsupervised machine learning models and seeks to find latent topics emerging from the analysis of the entrepreneurs’ descriptions and exposes the main correlated clustered dimensions. There are six main motivators behind GE platforms as a first step toward entrepreneurship: Experience, Passion for share, Knowledge, Classic traditions, Empowered community and local activities, and Well-being. It also confirms the correlation between passion and self-efficacy through experience, pointing them as main factors behind entrepreneurship in the GE. Five of the six sources of passion previously pointed by theory were found: Passion for growth, for people, for product/service, for innovation and for social mission. This study discloses self-efficacy and the sources of passion and points directions to practitioners involved in entrepreneurial activities in the GE ecosystem. This work used machine learning models to access quantitatively a paradigm that is inductive by nature. The results point to well-being as a significant factor to be addressed in future research regarding entrepreneurship. This research only studies individuals involved in the GE; as such, further studies should cohort new populations from different fields.

Understanding the pattern of musculoskeletal pain and its contributing factors among Hajj pilgrims.

Hajj is a series of rituals that are done in specific areas and periods in Mecca. Performing Hajj requires a great amount of physical demand which may result in musculoskeletal pain (MSP) in different age groups. To estimate the prevalence of MSP and understand its pattern via exploring the factors that could be associated with muscular pain among pilgrims in the 2022 Hajj. A web-based survey was distributed during the annual Hajj mass gathering. Pilgrims were recruited from Hajj ritual sites. The collected data included demographics, musculoskeletal pain at ten anatomical body sites, and physical activity (PA) level. Descriptive and inferential statistics were used to analyze the data at a 0.05 significance level. A total of 248 pilgrims participated in the study. The mean age of the sample was 43.49±12.70 years. Of all pilgrims, 78.6% had reported MSP in at least one anatomical body site during performing Hajj. Results revealed that Pilgrims were more likely to have MSP in the lower limb while performing Hajj rituals where the most prevalent reported pain was in the legs (46%), followed by the lower back (45%), knees (37%), and ankles/feet (30%). Age, sex, and PA were not significantly associated with MSP except the BMI was found to be a significant factor related to MSP among pilgrims (p <0.05). Many pilgrims exhibited pain in at least one body part. Although physical fitness recommendations are published in the Saudi Ministry of Health, MSP preventative measures need to be disseminated by organizations and interested parties worldwide.

Rethinking leadership approaches for community-wide opioid crisis intervention: harnessing positive inquiry to unearth front-line insight

Background/AimThe opioid crisis presents a complex and widespread health challenge for communities, necessitating a deeper exploration beyond simple solutions. To address this crisis, it is crucial to identify and disseminate...

Mathematical Modeling of Impacts of Patient Differences on Renin-Angiotensin System and Applications to COVID-19 Lung Fibrosis Outcomes.

Patient-specific premorbidity, age, and sex are significant heterogeneous factors that influence the severe manifestation of lung diseases, including COVID-19 fibrosis. The renin-angiotensin system (RAS) plays a prominent role in regulating the effects of these factors. Recent evidence suggests patient-specific alteration of RAS homeostasis concentrations with premorbidity and the expression level of angiotensin converting enzyme 2 (ACE2) during COVID-19. However, conflicting evidence suggests decreases, increases, or no changes in RAS after SARS-CoV-2 infection. In addition, detailed mechanisms connecting the patient-specific conditions before infection to infection-induced RAS alteration are still unknown. Here, a multiscale model is developed to quantify the systemic contribution of heterogeneous factors of RAS during COVID-19. Three submodels are connected-an ABM COVID-19 in-host lung tissue model, a RAS model, and a fibrosis model to investigate the effects of patient-group-specific factors in the systemic alteration of RAS and collagen deposition in the lung. The model results indicate cell death due to inflammatory response as a major contributor to the reduction of ACE and ACE2. In contrast, there are no significant changes in ACE2 dynamics due to viral-bound internalization of ACE2. Reduction of ACE and ACE2 downregulates the homeostasis concentration of RAS, including angiotensin II (ANGII), in the lung tissue. At the same time, the decrease in ACE2 increases systemic ANGII and results in severe lung injury and fibrosis. The model explains possible mechanisms for conflicting evidence of RAS alterations in previously published studies, and simulated results are consistent with reported RAS peptide values for SARS-CoV-2-negative and SARS-CoV-2-positive patients. We observed decreased RAS peptides for all virtual patient groups with aging in both sexes. In contrast, large variations in the magnitude of reduction were observed between male and female virtual patients in the older and middle-aged groups. We also predicted that feedback of ANGII·AT1R to renin could restore ANGI homeostasis concentration but fails to restore homeostasis values of RAS peptides downstream of ANGI. In addition, the results show that ACE2 variations with age and sex significantly alter the concentrations of RAS peptides and lead to collagen deposition with slight variations depending on age and sex. This model may find further applications in patient-specific calibrations of tissue models for acute and chronic lung diseases to develop personalized treatments.

Based on the S–O–R theory adoption intention of blockchain technology in libraries: a two-stage analysis SEM–PLS and ANN

PurposeBlockchain, a groundbreaking technology that recently surfaced, is under thorough scrutiny due to its prospective utility across different sectors. This research aims to delve into and assess the cognitive elements that impact the integration of blockchain technology (BT) within library environments.Design/methodology/approachUtilizing the Stimulus–Organism–Response (SOR) theory, this research aims to facilitate the implementation of BT within academic institution libraries and provide valuable insights for managerial decision-making. A two-staged deep learning structural equation modelling artificial neural network (ANN) analysis was conducted on 583 computer experts affiliated with academic institutions across various countries to gather relevant information.FindingsThe research model can correspondingly expound 71% and 60% of the variance in trust and adoption intention of BT in libraries, where ANN results indicate that perceived possession is the primary predictor, with a technical capability factor that has a normalized significance of 84%. The study successfully identified the relationship of each variable of our conceptual model.Originality/valueUnlike the SOR theory framework that uses a linear model and theoretically assumes that all relationships are significant, to the best of the authors’ knowledge, it is the first study to validate ANN and SEM in a library context successfully. The results of the two-step PLS–SEM and ANN technique demonstrate that the usage of ANN validates the PLS–SEM analysis. ANN can represent complicated linear and nonlinear connections with higher prediction accuracy than SEM approaches. Also, an importance-performance Map analysis of the PLS–SEM data offers a more detailed insight into each factor's significance and performance.

An Explainable Multichannel Model for COVID-19 Time Series Prediction

Introduction: The COVID-19 pandemic has affected every country and changed people's lives. Accurate prediction of COVID-19 trends can help prevent the further spread of the outbreak. However, the changing environment affects the COVID-19 prediction performance, and previous models are limited in practical applications. Methods: An explainable multichannel deep learning model with spatial, temporal and environmental channels for time series prediction, STE-COVIDNet, was proposed. The time series data of COVID-19 infection, weather, in-state population mobility, and vaccination were collected from May, 2020, to October, 2021, in the USA. In the environmental channel of STE-COVIDNet, an attention mechanism was applied to extract significant environmental factors related to the spread of COVID-19. In addition, the attention weights of these factors were analyzed with the actual situation. Results: STE-COVIDNet was found to be superior to other advanced prediction models of COVID-19 infection cases. The analysis results of attention weight were reported to be consistent with existing studies and reports. It was found that the same environmental factors that influence the spread of COVID-19 can vary across time and region, which explains why findings of previous studies on the relationship between the environment and COVID-19 vary by region and time. Conclusion: STE-COVIDNet is an explainable model that can adapt to environmental changes and thus improve predictive performance.

A 78-Year-Old Female Presented with Chest Pain after Falling Down

&lt;p&gt;本文描述一位78歲的女性患者，因跌倒導致右側肋骨骨折，三週後因疑似胸腔延遲性出血合併膿胸入院，住院後發現個案右膝化膿性關節炎合併膿瘍及菌血症，在接受胸腔鏡右側肋膜清創術及針對個案狀況更換多次抗生素治療後，全身性的感染終獲得控制順利出院。針對診斷為創傷性血胸合併膿胸之患者，入院後右膝疼痛常被視為創傷合併之症狀，亦有可能是引起個案跌倒與延遲性出血導致右側膿胸的主因。因此針對患者所陳述的各種主訴與徵候，皆應詳細詢問病史與理學檢查，再綜合檢驗檢查結果的判斷，方能及早作出正確的鑑別診斷與治療計劃，也才能及時給予患者正確的治療，從而降低死亡率及後續可能產生的各種併發症。&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;A 78-year-old female patient suffered from a right rib fracture due to a fall. Three weeks later, she was.admitted to the hospital with suspected delayed hemothorax and empyema. Through detailed medical history inquiry and evaluation based on subsequent CT scans and bacterial culture reports, it was con-firmed that she had septic arthritis of the right knee with an associated abscess and bacteremia. After undergoing thoracoscopic decortication of right pleura and multiple changes in antibiotic treatments tailored to her condition, the systemic infection was successfully controlled, and she was eventually discharged. In patients diagnosed with traumatic hemothorax complicated by empyema, the right knee pain upon admission is often considered a symptom of the trauma, but it could also be a signif-icant factor contributing to the patient&amp;rsquo;s fall and subsequent delayed bleeding leading to right-sided empyema. Therefore, it is essential to thoroughly inquire about the patient&amp;rsquo;s various complaints and symptoms, conduct a detailed medical history and physical examination, and then make a comprehen-sive judgment based on the results of laboratory and imaging tests to promptly establish an accurate differential diagnosis and treatment plan. This approach will enable timely and appropriate treatment for the patient, reducing the mortality rate and the potential occurrence of various complications.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;

Does policy that provides choice in athletic footwear affect musculoskeletal injury risk in US Coast Guard recruits?

IntroductionMusculoskeletal injuries (MSKIs) are ubiquitous during initial entry military training, with overuse injuries the most common. A common injury mechanism is running, an activity that is integral to US Coast...

Sedation with Ketamine-Propofol in Patients Undergoing Transcatheter Aortic Valve Implantation: A Comparative Retrospective Study on General Anesthesia.

Transcatheter aortic valve implantation (TAVI) is used for patients with severe aortic stenosis who are at high risk for surgery. Since these patients are elderly and have comorbidities, their management is of great importance. This retrospective study compares two anesthesia techniques during TAVI: sedation (ketamine and propofol) and general anesthesia. Patients with severe aortic stenosis undergoing TAVI during 2021 in our hospital were retrospectively screened. Demographic data, comorbidities, anesthesia management, complications, and mortality of the patients were obtained from the records. There were 137 patients treated with TAVI; 74 (54%) patients had sedation and 63 (46%) had general anesthesia. When the anesthesia management was evaluated, no significant difference in mortality was observed between the patients who received general anesthesia and sedation. After univariate and multivariate logistic regression analyses were performed to investigate factors having an impact on mortality, anemia (only in univariate analysis) in the whole study population was a statistically significant risk factor for mortality in patients undergoing TAVI (p<0.014). There was no significant difference in mortality in terms of anesthesia management. Anemia was a risk factor for mortality (only in univariate analysis) in the whole study population. We concluded that conscious sedation with ketamine and propofol is effective and safe for TAVI procedures compared to general anesthesia.

Clinical feeding assessment: An effective screening test to predict aspiration in children in low resource settings.

Diagnosis and management of swallowing problems in children is crucial for improvement of their health status and quality of life. This study aimed to determine the accuracy of clinical feeding assessment (CFA) as a screening test to detect aspiration in children using fibreoptic endoscopic evaluation of swallowing (FEES) as the gold standard. A prospective study of 80 children aged below 16 years who were referred to a paediatric otolaryngology clinic for swallowing complaints was completed from 2019 to 2020. Swallowing was assessed by both CFA and FEES. Presence of any one of the following symptoms was considered positive for aspiration in CFA: cough, wet vocal quality, and respiratory distress. Aspiration on FEES was measured using the Penetration Aspiration Scale. The clinical predictors of aspiration were analysed. The majority of the children (78.8%) had an associated neurological condition, with cerebral palsy being the most common. CFA had a sensitivity ranging from 80% to 100% and a specificity ranging from 68% to 79% for predicting true aspiration for different food consistencies. The significant risk factors predicting aspiration (p value <0.05) were history of prior intubation (p = 0.009), history of nasal regurgitation (p = 0.002) and spasticity on examination (p = 0.043). This study showed that CFA can be used as a screening test in evaluation of paediatric dysphagia. In those with negative CFA, the chances of aspiration are less while those with positive CFA need further evaluation. In addition, the availability and cost-effectiveness of the test make it a good tool for screening aspiration in low-resource settings.

Quality Objectives in Standardized Quality Management Systems.

The effectiveness of a quality management system consistent with the ISO 9001 standard depends on how quality objectives are established and pursued. The aims of this article are to identify quality objectives in selected certified organizations providing medical services, assess their compliance with the requirements of the ISO 9001 standard, and determine factors influencing such objectives. The first theoretical part of the article is based on a systematic literature review. The empirical part contains an analysis of documentation related to quality management systems and conducted audits. The data were collected during 42 quality management system audits conducted in 16 health care organizations in the years 2015-2020. Uncategorized interviews were conducted with quality management system representatives. The data were verified by interviews with 6 management system auditors having at least 15 years' experience in auditing health care organizations. The assessment of the methodological correctness is based on the ISO 9001:2015 standard criteria. The most frequently formulated quality objectives include improving customer satisfaction, task-based objectives related to planned works, improvements, and development of new medical services. The quality objectives fulfill the requirements of the ISO 9001 standard. However, they are not ambitious. The most significant factors influencing the processes of goal setting are economic (financial incentives, available resources for modernization), social (community needs), and managerial (the scope of performed analyses, the quality of the audit process, and the calculation of necessary effort). Health care organizations need to pursue more ambitious objectives, intensify the use of performed medical analyses, and integrate quality objectives into management remuneration systems.

Prevalence and Prognostic Factors Associated with Early Recovery of Olfactory Dysfunction in COVID-19 Patients.

The prevalence of smell dysfunction, along with its risk factors, has been evaluated in previous literature; however, little has been established regarding its relation to other factors such as disease severity, history of coronavirus disease-2019 (COVID-19) vaccinations, and medical treatment for COVID-19 infection. These factors may impact the overall recovery of olfaction in COVID-19 patients. This study investigated the prevalence of early olfactory recovery from COVID-19 infection and its associated factors. This study was a prospective cohort study on 348 COVID-19 patients with a new onset of anosmia or hyposmia. Smell sensation scores on the olfactory self-assessment test were collected at baseline and every week until 6 weeks of follow-up. The primary outcome was the prevalence of early olfactory recovery. The secondary outcomes were analyzing factors associated with early olfactory recovery and the median time to complete recovery of smell loss. The prevalence of early olfactory recovery was 63.1% (95% CI: 0.58-0.68), and significant associated factors in multivariate analysis included patients without allergic rhinitis (OR 2.22, 95% CI: 1.12-4.40, P = 0.023) and no alteration of taste perception (OR 1.62, 95% CI: 1.02-2.57, P = 0.042). The median time to complete recovery from smell loss was 2 weeks. The present study found that the prevalence of early olfactory recovery within 2 weeks was 63.1%. The median time to olfactory recovery was also 2 weeks. Patients without allergic rhinitis and taste alteration had a significantly better chance of early recovery of olfactory function.

Accelerating Globally Optimal Consensus Maximization in Geometric Vision.

Branch-and-bound-based consensus maximization stands out due to its important ability of retrieving the globally optimal solution to outlier-affected geometric problems. However, while the discovery of such solutions caries high scientific value, its application in practical scenarios is often prohibited by its computational complexity growing exponentially as a function of the dimensionality of the problem at hand. In this work, we convey a novel, general technique that allows us to branch over an n-1 dimensional space for an n-dimensional problem. The remaining degree of freedom can be solved globally optimally within each bound calculation by applying the efficient interval stabbing technique. While each individual bound derivation is harder to compute owing to the additional need for solving a sorting problem, the reduced number of intervals and tighter bounds in practice lead to a significant reduction in the overall number of required iterations. Besides an abstract introduction of the approach, we present applications to four fundamental geometric computer vision problems: camera resectioning, relative camera pose estimation, point set registration, and rotation and focal length estimation. Through our exhaustive tests, we demonstrate significant speed-up factors at times exceeding two orders of magnitude, thereby increasing the viability of globally optimal consensus maximizers in online application scenarios.

Factor related to preterm premature rupture of membrane among pregnant women

The incidence rate of premature rupture of membranes in Yogyakarta, Indonesia was 10.1%, the highest rate in Indonesia. This study's goal was to determine factors related to premature rupture of membranes among pregnant women in Sardjito Hospital. There were 220 pregnant women, 110 in the premature rupture of membranes or case group and 110 no premature rupture of membranes as control group. Urinary tract infection, anemia, and preterm premature rupture of membrane and the characteristics were the research factors. The Chi-square test and logistic regression were used to examine the data. Secondary data from medical records for the period January 2021 December 2022 was taken. Result of this study showed that 49.1% of the pregnant women in the case group had anemia, and 47.3% had urinary tract infections. In the control group had anemia 30.9% of pregnant women, while urinary tract infections infected 61.8% of them. Urinary tract infections and anemia were associated with a greater incidence of preterm premature rupture of membranes, according to a bivariate analysis with p-values of 0.042 and 0.009 (p-value=0.05). Anemia was the most significant factor associated with the incidence of preterm premature rupture of membranes (OR=2.26).

Progression of valve heart disease in a cohort of patients undergoing renal replacement therapy.

Cardiovascular disease is an important cause of death among patients with chronic kidney disease (CKD). Valve calcification is a predictor of cardiovascular mortality and coronary artery disease. To assess heart valve disease frequency, associated factors, and progression in CKD patients. We conducted a retrospective study on 291 CKD patients at Hospital das Clínicas de Pernambuco. Inclusion criteria were age ≥ 18 with CKD and valve disease, while those on conservative management or with missing data were excluded. Clinical and laboratory variables were compared, and patients were categorized by dialysis duration (<5 years; 5-10 years; >10 years). Statistical tests, including chi-square, Fisher's exact, ANOVA, and Kruskal-Wallis, were employed as needed. Simple and multivariate binary regression models were used to analyze valve disease associations with dialysis duration. Significance was defined as p < 0.05. Mitral valve disease was present in 82.5% (240) of patients, followed by aortic valve disease (65.6%; 86). Over time, 106 (36.4%) patients developed valve disease. No significant association was found between aortic, pulmonary, mitral, or tricuspid valve disease and dialysis duration. Secondary hyperparathyroidism was the sole statistically significant factor for mitral valve disease in the regression model (OR 2.59 [95% CI: 1.09-6.18]; p = 0.031). CKD patients on renal replacement therapy exhibit a high frequency of valve disease, particularly mitral and aortic valve disease. However, no link was established between dialysis duration and valve disease occurrence or progression.