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- Creators: Dean, W.P. Carey School of Business
- Status: Published
2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing fetal heart development but they warrant revalidation and adjustment. 377 normal fetuses with healthy mothers, 98 normal fetuses with diabetic mothers, and 37 fetuses with cardiomyopathy and diabetic mothers had their cardiac structural dimensions, cardiothoracic ratio, valve flow velocities, and heart rates measured by fetal ECHO in a retrospective chart review. Cardiac features were fitted to linear functions, with respect to gestational age, femur length, head circumference, and biparietal diameter and z-scores were created to model normal fetal growth for all parameters. These z-scores were used to assess what metrics had no difference in means between the normal fetuses of both healthy and diabetic mothers but differed from those diagnosed with cardiomyopathy. It was found that functional metrics like mitral and tricuspid E wave and pulmonary velocity could be important predictors for cardiomyopathy when fitted by gestational age, femur length, head circumference, and biparietal diameter. Additionally, aortic and tricuspid annulus diameters when fitted to estimated gestational age showed potential to be predictors for fetal cardiomyopathy. While the metrics overlapped over their full range, combining them together may have the potential for predicting cardiomyopathy in utero. Future directions of this study will explore creating a classifier model that can predict cardiomyopathy using the metrics assessed in this study.
2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing fetal heart development but they warrant revalidation and adjustment. 377 normal fetuses with healthy mothers, 98 normal fetuses with diabetic mothers, and 37 fetuses with cardiomyopathy and diabetic mothers had their cardiac structural dimensions, cardiothoracic ratio, valve flow velocities, and heart rates measured by fetal ECHO in a retrospective chart review. Cardiac features were fitted to linear functions, with respect to gestational age, femur length, head circumference, and biparietal diameter and z-scores were created to model normal fetal growth for all parameters. These z-scores were used to assess what metrics had no difference in means between the normal fetuses of both healthy and diabetic mothers, but differed from those diagnosed with cardiomyopathy. It was found that functional metrics like mitral and tricuspid E wave and pulmonary velocity could be important predictors for cardiomyopathy when fitted by gestational age, femur length, head circumference, and biparietal diameter. Additionally, aortic and tricuspid annulus diameters when fitted to estimated gestational age showed potential to be predictors for fetal cardiomyopathy. While the metrics overlapped over their full range, combining them together may have the potential for predicting cardiomyopathy in utero. Future directions of this study will explore creating a classifier model that can predict cardiomyopathy using the metrics assessed in this study.
Type 2 Diabetes Mellitus (T2DM) is a leading cause of health disparities, among Hispanic populations, which are disproportionately afflicted by T2DM. The growing research strongly argues that diabetes treatment interventions should be culturally sensitive to address the needs of their target populations. Nonetheless, there is little consensus regarding the necessary components of a culturally sensitive intervention. This review will examine the intervention contents and activities, and the strategies that have been implemented into culturally sensitive diabetes treatment interventions. This review will also to observe how interventions handle complex issues such as the heterogeneity of Hispanic populations and communities. The overarching research questions examined in this study were, “What are the core components of the culturally tailored diabetes interventions currently implemented with Hispanic populations in the US, and why are they needed?” and 2) “How are studies evaluating the impact of their interventions, and how can the proposed study designs be improved?”
Method.
A systematic review across 3 databases was used to identify culturally sensitive diabetes treatment interventions (CSDTI) developed for Hispanic populations. Accordingly, we searched for studies designed to treat Hispanic individuals already diagnosed with having T2DM. All identified studies provided information on the core components of these culturally sensitive interventions, while only studies that included a control or comparison group were used to assess how the studies evaluated outcomes.
Results.
First, we examined intervention effects as examined from two study designs. We examined a total of [17] interventions in this section. Our review of one study design (Design #1 Studies) includes 12 studies that developed a culturally sensitive intervention and evaluated it using a one-group pretest posttest design, or did not evaluate their intervention at all. A second study design (Design #2 Studies) includes 5 studies. These consisted of a two-group randomized controlled field study that conducted pre-post analyses of the culturally adapted intervention comparing it against a control or comparison group. The heterogeneity of all studies made a conventional meta-analysis impossible.
Second, another review section focused on examining and describing various culturally sensitive core components, we examined a total of 17 studies to describe the types of culturally sensitive components that were incorporated into the diabetes treatment intervention. This analysis resulted in a list of 11 general types of culturally sensitive components as included within these 17 interventions. Of the articles that used control or comparison groups, the manner in which interventions evaluated different outcome measures and their conclusions regarding success were examined.
Discussion.
The culturally sensitive aspects identified from these articles were used to address diverse issues that included: (a) communication barriers, (b) the inclusion of cultural relevant content, for relevance to Hispanic/Latinx patients’ lives, (c) selecting appropriate channels and settings for interventions, and (d) addressing specific cultural values, traditions, and beliefs that can either help or hinder healthy behaviors. It should be noted that the Hispanic populations are extremely heterogeneous, and so interventions that would be sensitive culturally to some sectors of a Hispanic community may not be sensitive to other Hispanic sectors of that same community. The issue of heterogeneity of Hispanic communities was addressed well by the authors of some articles and ignored by others.
Conclusions.
It was ultimately impossible draw quantitative conclusions regarding the efficacy or effectiveness of these two types of diabetes treatment interventions (CSDTIs) as delivered to their targeted sample of Hispanic participants. An emerging conclusion is that factors including ethics, cost, and lack of community acceptance, may constitute factors contributing to the higher proportion of one-group pre-test post-test designs and lower proportion of rigorous scientific designs. In the latter case, some communities oppose the use of randomized controlled studies within their community, and thus that objection may explain the low numbers of these randomized controlled studies. The use of viable and rigorous alternatives to RCTs have been proposed to address this community concern. In this review, the author sought to conduct comparative studies between culturally adapted interventions and their associated unaltered or minimally altered evidence-based interventions, although there exists various difficulties that are associated with the conduct of these analyses.
Core components of CSDTIs for Hispanic adults were identified, and their purposes were explained. Additionally, suggestions for improvement to studies were made, to aid in improving our knowledge of CSDTIs through future studies.
Diabetes affects millions of people globally and can lead to other severe health complications when undiagnosed or not properly managed. The incidence of diabetes has rapidly increased over the past several years, however, not all individuals have access to affordable or convenient healthcare. We hypothesize that wastewater-based epidemiology (WBE) has the potential to assess community health status by analyzing biomarkers indicative of human health and disease, including diabetes. Used in tandem with current methods, monitoring indicators of diabetes in community wastewater could provide a comprehensive assessment tool for disease prevalence in large and small populations. Specifically, the proposed targeted biomarker evaluated in this study to indicate population-wide diabetes prevalence was 8-hydroxy-2’- deoxyguanosine (8-OHdG). This work combines a rigorous literature review and initial laboratory studies to explore the possibility of diabetes monitoring at the community level using WBE. Here, 24-hour composite wastewater samples were collected from within two wastewater sub-catchments of Greater Tempe, AZ. Overall goals of this study were to: i) Determine the feasibility to detect endogenous markers of diabetes in community wastewater; ii) Assess the potential impact of confounding factors, such as smoking, cancer, and atherosclerosis, through a literature analysis; and iii) Evaluate the socioeconomic status and demographics of the study population. Preliminary results of the experiments suggest this methodology to be feasible, as indicated by the observation of detectable signals of 8-OHdG in community wastewater collected from the sewer infrastructure; however, future work and continued experimentation will be required to address low signal intensity and assay precision and accuracy. Thus, the work presented here provides valuable proof-of-concept data, with detailed information on the method employed and identified opportunities to further determine the relationship between 8-OHdG concentrations in municipal wastewater and diabetes prevalence at the community level.