NIH-funded research R01 grant

Understanding Hospitalization and Survival for Dialysis Patients

Official title: Multilevel Time-Dynamic Modeling of Hospitalization and Survival in Patients on Dialysis

Funded at University of California Los Angeles · NIH-11037938 · Data updated 2026-11-12

This research looks at information from many dialysis patients across the U.S. to understand why some patients are hospitalized more often or have shorter survival times.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of California Los Angeles
NIH-funded
Lab location1 site (Los Angeles, United States)
Project startSeptember 15, 2011
Project endFebruary 28, 2027
Funding year2025
Award (this year)$591,108
NIH project number5R01DK092232-12
Project IDNIH-11037938 on NIH RePORTER

Who could benefit from this research

Could help

This research focuses on understanding outcomes for individuals receiving dialysis treatment for end-stage kidney disease across the United States.

Less likely to help

Patients not currently on dialysis or those with kidney disease not requiring dialysis would not directly benefit from the findings of this specific research.

What this research studies

Many people with end-stage kidney disease rely on dialysis, but they often face frequent hospital stays and a higher risk of mortality. This project aims to discover the specific patient, dialysis center, and regional factors that contribute to these challenges. By analyzing a large national database, we hope to pinpoint critical times and influences that increase risks. Our goal is to provide insights that can help improve care strategies for dialysis patients.

Why it matters

Potential benefit: If successful, this work could help doctors and care teams better identify patients at higher risk and develop new strategies to prevent hospitalizations and improve survival for those on dialysis.

How similar studies have gone: This project proposes novel multilevel time-dynamic models, suggesting a new and advanced approach to analyzing existing data.

Where this research is happening

  • University of California Los Angeles
    Los Angeles, United States
    Active

Researchers

  • Principal investigator: Senturk, Damla — University of California Los Angeles
  • Study coordinator: Senturk, Damla

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.