Evaluating and predicting swallowing improvement in hospitalized Alzheimer's patients
A Prospective Observational Cohort Study to Evaluate and Predict Oropharyngeal Dysphagia (OD) Improvement in Hospitalized Patients with Alzheimer's disease and related Dementias (AD/ADRD)
['FUNDING_R01'] · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · NIH-11054066
This study is looking at how to help patients with Alzheimer's and related dementias who have trouble swallowing, by using a special computer program to predict which patients might get better before they leave the hospital, so that doctors can give them the best care and diet to improve their eating and overall well-being.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH (nih funded) |
| Locations | 1 site (MANHASSET, UNITED STATES) |
| Trial ID | NIH-11054066 on ClinicalTrials.gov |
What this research studies
This research investigates oropharyngeal dysphagia (OD), a common swallowing difficulty in hospitalized patients with Alzheimer's disease and related dementias. The study aims to develop a machine-learning model to predict which patients are likely to improve in their swallowing ability before they are discharged from the hospital. By identifying these patients, healthcare providers can tailor their care and potentially adjust their diets to improve nutrition and quality of life. The research will also assess the impact of acute factors on swallowing difficulties and the need for reassessment before discharge.
Who could benefit from this research
Good fit: Ideal candidates for this research are hospitalized patients diagnosed with Alzheimer's disease or related dementias who are experiencing swallowing difficulties.
Not a fit: Patients who do not have Alzheimer's disease or related dementias, or those who are not hospitalized, may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved dietary management and quality of life for patients with Alzheimer's and related dementias.
How similar studies have performed: Previous research has shown promising results in using machine learning to predict clinical outcomes in similar patient populations, indicating potential for success in this approach.
Where this research is happening
MANHASSET, UNITED STATES
- FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH — MANHASSET, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: SINVANI, LIRON DANAY — FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH
- Study coordinator: SINVANI, LIRON DANAY
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.
Conditions: Alzheimer disease dementia, Alzheimer syndrome