23 research outputs found

    Exploring Biomarkers Beyond Exercise Testing: The Impact of Smoking on Cardiovascular and Pulmonary Health among CKD Patients

    Get PDF
    Background: Chronic Kidney Disease (CKD) patients often face complex health challenges, including cardiovascular and pulmonary issues. Smoking is a recognized risk factor for these conditions, but its specific impact on CKD patients remains less understood. Materials and Methods: In this cross-sectional study, we investigated the relationship between smoking habits and cardiopulmonary health among CKD patients. We examined baseline characteristics, including demographics, medical history, and biochemical markers, in a cohort of CKD patients. Cardiopulmonary parameters were assessed during exercise testing, including oxygen consumption, ventilation rates, ventilation-perfusion matching markers, and oxygen saturation levels. Results: Our findings revealed no statistically significant differences in cardiopulmonary parameters between smokers and non-smokers within the CKD patient population. This suggests that the relationship between smoking and exercise capacity in CKD patients is complex and influenced by multiple factors. Our analysis of demographics, comorbidities, and medication history provided critical context for interpreting these results. Conclusion: This study contributes to our understanding of the intricate relationship between smoking habits and cardiopulmonary health in CKD patients. While smoking is recognized as a risk factor, its specific impact on exercise capacity within this population may be influenced by individual variables. Further research is needed to explore these relationships in larger and more diverse cohorts. These findings underscore the importance of considering multiple variables when assessing the impact of smoking on the health of CKD patients

    Evaluating Research Centers In Minority Institutions: Framework, Metrics, Best Practices, and Challenges

    Get PDF
    The NIH-funded Research Centers in Minority Institutions (RCMI) program is currently funding 18 academic institutions to strengthen the research environment and contribution to health disparities research. The purpose of this multiphase mixed-methods study was to establish a uniform evaluation framework for demonstrating the collective success of this research consortium. Methods included discussions of aims and logic models at the RCMI Evaluatorsā€™ Workshop, a literature review to inform an evaluation conceptual framework, and a case study survey to obtain evaluation-related information and metrics. Ten RCMIs participated in the workshop and 14 submitted responses to the survey. The resultant RCMI Evaluation Conceptual Model presents a practical ongoing approach to document RCMIsā€™ impacts on health disparities. Survey results identified 37 common metrics under four primary categories. Evaluation challenges were issues related to limited human resources, data collection, decision-making, defining metrics, cost-sharing, and revenue-generation. There is a need for further collaborative efforts across RCMI sites to engage program leadership and community stakeholders in addressing the identified evaluation challenges and measurement. Program leadership should be engaged to apply the Evaluation Conceptual Framework and common metrics to allow for valid inter-institutional comparisons and consortium-wide evaluations. Stakeholders could ensure evaluation metrics are used to facilitate community impacts

    Interocular Symmetry Analysis of Corneal Elevation Using the Fellow Eye as the Reference Surface and Machine Learning

    No full text
    Unilateral corneal indices and topography maps are routinely used in practice, however, although there is consensus that fellow-eye asymmetry can be clinically significant, symmetry studies are limited to local curvature and single-point thickness or elevation measures. To improve our current practices, there is a need to devise algorithms for generating symmetry colormaps, study and categorize their patterns, and develop reference ranges for new global discriminative indices for identifying abnormal corneas. In this work, we test the feasibility of using the fellow eye as the reference surface for studying elevation symmetry throughout the entire corneal surface using 9230 raw Pentacam files from a population-based cohort of 4613 middle-aged adults. The 140 Ɨ 140 matrix of anterior elevation data in these files were handled with Python to subtract matrices, create color-coded maps, and engineer features for machine learning. The most common pattern was a monochrome circle (ā€œflatā€) denoting excellent mirror symmetry. Other discernible patterns were named ā€œtiltā€, ā€œconeā€, and ā€œfour-leafā€. Clustering was done with different combinations of features and various algorithms using Waikato Environment for Knowledge Analysis (WEKA). Our proposed approach can identify cases that may appear normal in each eye individually but need further testing. This work will be enhanced by including data of posterior elevation, thickness, and common diagnostic indices

    Corneal thickness measurements with the Concerto on-board pachymeter

    No full text
    Purpose: To assess the Concerto excimer laser on-board pachymeter (COP) measurements of the central corneal thickness (CCT), central stromal thickness (CST) and flap thickness (FT) in terms of repeatability and agreement with the Pentacam and ultrasound pachymetery. Methods: Patients undergoing photorefractive keratectomy (PRK), PRK with mitomycin-C (MMC), and laser in situ keratomileusis (LASIK) were enrolled in the study. All eyes had CCT measurement with the Pentacam, the COP, and ultrasound, preoperatively. In the LASIK group, the CST was measured intraoperatively with the COP and ultrasound, after removing the flap. Each measurement was done 3 times to study the repeatability, and we calculated the 95% limits of agreement (LoA) for paired readings. Results: The study sample comprised of 82 eyes of 41 patients. All three devices showed excellent repeatability with intraclass correlation coefficients between 0.946 and 0.993. Mean CCT was 546Ā Ā±Ā 31Ā Ī¼m with the COP, and 548Ā Ā±Ā 32Ā Ī¼m and 548Ā Ā±Ā 34Ā Ī¼m with the ultrasound and Pentacam, respectively. COP readings demonstrated high correlations with their paired ultrasound and Pentacam readings. The 95% LoA between COP and ultrasound were āˆ’16.6Ā Ī¼m to 12.0Ā Ī¼m for CCT, āˆ’25.6Ā Ī¼m to 26.2Ā Ī¼m for CST, and āˆ’29.5 to 21.3Ā Ī¼m for FT. The 95% LoA between COP and Pentacam CCT readings were āˆ’15.1Ā Ī¼m to 10.1Ā Ī¼m. Conclusions: COP generated repeatable readings that were highly correlated with their pair readings by the Pentacam and ultrasound. Although the agreement between COP and ultrasound was better with CCT measurements, the inter-device agreement for CST readings was not worse than that reported in other comparative studies of pachymeters
    corecore