The Predictive Capacity of Machine Learning Models for Progressive Kidney Disease in Individuals With Sickle Cell Anemia
PREMIER
Predicting Progression of Chronic Kidney Disease in Sickle Cell Anemia Using Machine Learning Models [PREMIER]
2 other identifiers
observational
400
1 country
3
Brief Summary
This is a multicenter prospective, longitudinal cohort study which will evaluate the predictive capacity of machine learning (ML) models for progression of CKD in eligible patients for a minimum of 12 months and potentially for up to 4 years.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2022
Typical duration for all trials
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 17, 2021
CompletedFirst Posted
Study publicly available on registry
January 28, 2022
CompletedStudy Start
First participant enrolled
July 5, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 31, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
January 31, 2026
CompletedDecember 14, 2023
December 1, 2023
3.6 years
December 17, 2021
December 13, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Develop two separate predictive models for progression of CKD (eGFR <90 mL/min/1·73 m2 and ≥25% drop in eGFR from baseline) and rapid eGFR decline (eGFR loss >3·0 mL/min/1·73 m2 per year) over the 12 months following the baseline clinic evaluation.
At each visit following the first 12 months, rate of eGFR change will be calculated using data from current and earlier visits.
12 months
Secondary Outcomes (2)
Alternate definitions of CKD progression as eGFR decline <90 mL/min/1·73 m2 and ≥50% drop in eGFR from baseline, and rapid eGFR decline as eGFR loss >5·0 mL/min/1·73 m2 per year will be evaluated.
12 months
Evaluate the effect of APOL1 on the predictive capacity of ML models. Genomic DNA will be extracted from whole blood collected at baseline visits using standard techniques and genotyping will be performed as previously described.
12 months
Study Arms (1)
Patients with sickle cell anemia
Prospective longitudinal study of patients with sickle cell anemia
Interventions
Patients will be followed longitudinally with collection of CBC and chemistries as well as research biomarkers (urine, plasma, and genomic materials).
Eligibility Criteria
Four hundred patients with SCD (HbSS or HbSB0 thalassemia) between the ages of 18 and 65 who meet the eligibility criteria and provide consent to participate in the study, will be enrolled in this prospective longitudinal trial.
You may qualify if:
- HbSS or HbSβ0 thalassemia, 18 - 65 years old;
- non-crisis, "steady state" with no acute pain episodes requiring medical contact in preceding 4 weeks;
- ability to understand the study requirements.
You may not qualify if:
- pregnant at enrollment;
- poorly controlled hypertension;
- long-standing diabetes with suspicion for diabetic nephropathy;
- connective tissue disease such as systemic lupus erythematosus (SLE);
- polycystic kidney disease or glomerular disease unrelated to SCD;
- stem cell transplantation;
- 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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Tennesseelead
- National Heart, Lung, and Blood Institute (NHLBI)collaborator
- University of Illinois at Chicagocollaborator
- University of Memphiscollaborator
- University of North Carolina, Charlottecollaborator
- Wake Forest Universitycollaborator
- University of North Carolina, Chapel Hillcollaborator
Study Sites (3)
University of Illinois at Chicago
Chicago, Illinois, 60612, United States
Wake Forest University
Winston-Salem, North Carolina, 27109, United States
The University of Tennessee Health Science Center
Memphis, Tennessee, 38104, United States
Biospecimen
Routine laboratory tests (CBC and chemistries), cystatin C, pregnancy tests (if female and of child-bearing capacity), urinalysis, spot urine albumin-creatinine ratio, and select plasma and urine biomarkers (ET-1, VEGF and soluble VCAM-1) and kidney function (urinary nephrin, KIM-1) and genomic DNA analyses for APOL1 G1/G2 alleles.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Kenneth I Ataga, MD
The University of Tennessee Health Science Center
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
December 17, 2021
First Posted
January 28, 2022
Study Start
July 5, 2022
Primary Completion
January 31, 2026
Study Completion
January 31, 2026
Last Updated
December 14, 2023
Record last verified: 2023-12
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, CSR, ANALYTIC CODE
- Time Frame
- From time of first patient enrollment to up to 7 years after completion of study.
- Access Criteria
- Requests for data from academic investigators will be approved by the Executive Committee of the PREMIER Study. Following approval, de-identified data will be shared in a secure manner.
De-identified data will be provided to other academic investigators, upon request, for the purposes of non-commercial research, utilizing institutional Material Transfer Agreement (MTA).