Using simulation modeling to predict chronic kidney disease in minority populations
Prediction of Chronic Kidney Disease by Simulation Modeling to Improve the Health of Minority Populations
This study is looking at how different factors affect chronic kidney disease, especially in African Americans, to find ways to improve health and reduce the gaps in care for people with this condition.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project ID | NIH-10523518 on NIH RePORTER |
What this research studies
This research investigates the health disparities in chronic kidney disease (CKD) and its progression among ethnically diverse populations, particularly focusing on African Americans who are disproportionately affected. By utilizing simulation modeling techniques, the study aims to identify both traditional and non-traditional risk factors that contribute to CKD and end-stage renal disease (ESRD). The approach involves analyzing longitudinal observational health data to uncover insights that could lead to effective interventions. Ultimately, the goal is to improve health outcomes and reduce disparities in CKD among minority populations.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals from ethnically diverse backgrounds, particularly African Americans, who are at risk for chronic kidney disease or have existing conditions such as diabetes or hypertension.
Not a fit: Patients who do not belong to minority ethnic groups or those without risk factors for chronic kidney disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to targeted interventions that significantly improve the health and quality of life for patients at risk of chronic kidney disease.
How similar studies have performed: Previous research has successfully applied simulation modeling in other clinical areas, but this approach is novel in the context of chronic kidney disease among minority populations.
Where this research is happening
Los Angeles, United States
- University of California Los Angeles — Los Angeles, United States (Active)
Researchers
- Principal investigator: Nicholas, Susanne B — University of California Los Angeles
- Study coordinator: Nicholas, Susanne B
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.