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Clinical Trials/NCT02556216
NCT02556216
Unknown
Not Applicable

Systematic Study of Parameters of Chronic Kidney Disease Mineral and Bone Disorder (CKD-MBD)

Hannover Medical School1 site in 1 country100 target enrollmentFebruary 2015

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Renal Osteodystrophy
Sponsor
Hannover Medical School
Enrollment
100
Locations
1
Primary Endpoint
Accuracy of a diagnostic model (derived from the non-invasive radiologic and blood parameters of the bone) in relation to the 'gold standard' bone biopsy result
Last Updated
8 years ago

Overview

Brief Summary

Bone and mineral disease is a key problem in patients with kidney disease. The available clinical parameters are non-specific, unproven for the assessment of the bone metabolism and do not reflect the complexity and diversity of the underlying bone pathology. The aim of this study is to use bone histology, novel bone markers and bone imaging results to establish a reliable decision model (diagnostic tool) that can be used to guide the individual therapy.

Detailed Description

Bone and mineral disease is a key problem in patients with kidney disease. The available clinical parameters are non-specific, unproven for the assessment of the bone metabolism and do not reflect the complexity and diversity of the underlying bone pathology. In this study bone histology parameters including results of tetracycline labeling will be compared to non-invasive parameters of bone metabolism (e.g. sclerostin, calciprotein particles) and bone structure obtained by imaging (e.g. bone density). The aim of the study is to establish a reliable decision model (diagnostic tool) with these non-invasive parameters that can be used to guide the individual therapy. The decision model will be based on single calculations of the area under the curve for each parameter, including determination of the optimal cutpoint, sensitivity and specificity. These results will be integrated in a multivariate logistic regression analysis. The resulting model will enable to calculate the individual probability of the underlying bone diagnosis as a single value (without a specific dimension).

Registry
clinicaltrials.gov
Start Date
February 2015
End Date
July 2019
Last Updated
8 years ago
Study Type
Observational
Sex
All

Investigators

Responsible Party
Sponsor

Eligibility Criteria

Inclusion Criteria

  • Patients with kidney disease who have an indication for a bone biopsy, based on clinical, laboratory and radiologic findings

Exclusion Criteria

  • known malignant bone or bone marrow disease

Outcomes

Primary Outcomes

Accuracy of a diagnostic model (derived from the non-invasive radiologic and blood parameters of the bone) in relation to the 'gold standard' bone biopsy result

Time Frame: cross-sectional study, one week

After determining the AUC, sensitivity, specificity and optimal cutpoint for each parameter, a logistic regression model is created which gives the probability of the underlying bone diagnosis as a single probability value. In this cross-sectional studies each patient gets a one-time assessment of radiologic and blood parameters of bone metabolism obtained within one week. Accuracy is described by the performance measures sensitivity, specificity, area under the curve, negative and positive predictive values.

Study Sites (1)

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