Publications by authors named "R B Devereux"
Article Synopsis
- Uranium, a toxic element found in U.S. drinking water, was studied to see if its levels in urine are linked to heart health in American Indian young adults.
- The study analyzed data from over 1,300 participants, measuring urinary uranium and assessing heart function through echocardiography over several years.
- Results showed higher urinary uranium levels were associated with negative changes in heart structure and function, indicating a possible risk for cardiovascular issues that merits further research.
BACKGROUNDLeft ventricular hypertrophy (LVH) and dyslipidemia are strong, independent predictors for cardiovascular disease, but their relationship is less well studied. A longitudinal lipidomic profiling of left ventricular mass (LVM) and LVH is still lacking.METHODSUsing liquid chromatography-mass spectrometry (LC-MS), we repeatedly measured 1,542 lipids from 1,755 unique American Indians attending 2 exams (mean, 5 years apart).
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- A study was conducted on heart failure (HF) risk factors among American Indian communities, revealing a lack of existing research in this area despite high diabetes and cardiovascular issues.
- The study analyzed data from 3,059 participants, identifying key predictors of HF over time, including age, smoking, kidney damage, and history of heart attacks, with strong predictive performance indicated.
- The findings highlight that diabetes control and kidney damage indicators are significant in determining HF risks, which could help improve risk prediction and management in these communities.
Article Synopsis
- A study in Port-au-Prince, Haiti, found that 14.7% of adults have cardiovascular disease (CVD), with prevalent conditions including heart failure (11.9%) and stroke (2.4%).
- The research involved gathering diverse health data from over 3,000 participants and identified key risk factors such as hypertension and obesity linked to heart failure.
- The findings reveal a significant presence of early-onset heart failure in Haiti, highlighting the need for tailored health policies in low- and middle-income countries based on local epidemiological data.
The generalized estimating equations method (GEE) is commonly applied to analyze data obtained from family studies. GEE is well known for its robustness on misspecification of correlation structure. However, the unbalanced distribution of family sizes and complicated genetic relatedness structure within each family may challenge GEE performance.
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