Artificial Intelligence: a New Alternative to Analyse CKD-MBD in Hemodialysis
Artificial Intelligence: to Analyse CKD-MBD in Hemodialysis and Cardiovascular Risk
1 other identifier
observational
197
1 country
1
Brief Summary
The regulation of calcium, phosphate and parathyroid hormone in hemodialysis is complex and each parameter is not independently regulated. Simultaneous modification in these three parameters are the result of abnormal mineral metabolism and the treatment used. The specific objective of this work is an accurate and exhaustive analysis and description of the complex relationships between clinically relevant parameters in chronic kidney disease metabolism bone disease. In order to achieve these objectives we have used a machine learning approach Random Forest able to extract useful knowledge from a large database. The analysis of the complex interactions between the different parameters needs an advance mathematical approach such as Random Forest . The second aim of this study is to determine whether calcium, phosphate and parathyroid hormone, Fibroblast growth factor 23 and calcitriol are long-term associated with demographic features, mortality, co-morbidity and the therapy prescribed. We will analyze in a prospective study on incident patients, whether the use of this new model may predict the cardiovascular risk..
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Feb 2016
Typical duration for all trials
1 active site
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
Study Start
First participant enrolled
February 1, 2016
CompletedFirst Submitted
Initial submission to the registry
February 23, 2016
CompletedFirst Posted
Study publicly available on registry
March 3, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 19, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
December 19, 2018
CompletedDecember 21, 2018
December 1, 2018
2.9 years
February 23, 2016
December 20, 2018
Conditions
Outcome Measures
Primary Outcomes (1)
Change from Baseline Fibroblast growth factor 23 (pg/ml) at 24 months
Prospective analysis of fibroblast growth factor in a cohort of incident hemodialysis patients
Baseline, 24 months
Eligibility Criteria
Incident hemodialysis patients
You may qualify if:
- Incident hemodialysis patients
- Non acute renal failure
You may not qualify if:
- Previous treatment with cinacalcet
- Neoplasia
- Previous parathyrodectomy
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Hospital Universitario Reina Sofía
Córdoba, 14004, Spain
Biospecimen
Pre-dialysis blood samples
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Alejandro Martín Malo, MD
Andalusian Public Health System
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 23, 2016
First Posted
March 3, 2016
Study Start
February 1, 2016
Primary Completion
December 19, 2018
Study Completion
December 19, 2018
Last Updated
December 21, 2018
Record last verified: 2018-12