Using machine learning to predict kidney disease progression in sickle cell anemia patients

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This multicenter prospective cohort study aims to evaluate the predictive capacity of machine learning models for the progression of chronic kidney disease (CKD) in individuals with sickle cell disease (SCD). The study will follow eligible patients for a minimum of 12 months, potentially extending up to 4 years, to assess kidney function decline and identify risk factors associated with rapid progression. By analyzing biospecimens and clinical data, the researchers hope to develop a model that can effectively predict which patients are at higher risk for worsening kidney health. This approach is particularly important given the higher prevalence of CKD and associated mortality in SCD patients compared to the general population.

Why it matters

Who can join: the full rules

Inclusion Criteria:

1. HbSS or HbSβ0 thalassemia, 18 - 65 years old;
2. non-crisis, "steady state" with no acute pain episodes requiring medical contact in preceding 4 weeks;
3. ability to understand the study requirements.

Exclusion Criteria:

1. pregnant at enrollment;
2. poorly controlled hypertension;
3. long-standing diabetes with suspicion for diabetic nephropathy;
4. connective tissue disease such as systemic lupus erythematosus (SLE);
5. polycystic kidney disease or glomerular disease unrelated to SCD;
6. stem cell transplantation;
7. untreated human immunodeficiency virus (HIV), hepatitis B or C infection; h) history of cancer in last 5 years; i) End-stage renal disease (ESRD) on chronic dialysis; j) prior kidney transplantation.

Where it's running

• University of Illinois at Chicago
  Chicago, Illinois, United States Recruiting
• The University of Tennessee Health Science Center
  Memphis, Tennessee, United States Recruiting
• Wake Forest University
  Winston-Salem, North Carolina, United States Not yet recruiting

Study contacts

• Principal investigator: Kenneth I Ataga, MD — The University of Tennessee Health Science Center
• Study coordinator: Kenneth I Ataga, MD
• Email: kataga@uthsc.edu
• Phone: 901-448-2813

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.