NCT02556216

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.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
100

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Feb 2015

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
unknown

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, 2015

Completed
6 months until next milestone

First Submitted

Initial submission to the registry

August 6, 2015

Completed
2 months until next milestone

First Posted

Study publicly available on registry

September 22, 2015

Completed
3.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 1, 2019

Completed
6 months until next milestone

Study Completion

Last participant's last visit for all outcomes

July 1, 2019

Completed
Last Updated

February 27, 2018

Status Verified

February 1, 2018

Enrollment Period

3.9 years

First QC Date

August 6, 2015

Last Update Submit

February 26, 2018

Conditions

Keywords

bone biopsy; bone density

Outcome Measures

Primary Outcomes (1)

  • 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

    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.

    cross-sectional study, one week

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients with chronic kidney disease (including kidney transplanted patients) with mineral and bone disease

You may qualify if:

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

You may not qualify if:

  • known malignant bone or bone marrow disease

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Hannover Medical School

Hanover, 30625, Germany

RECRUITING

Biospecimen

Retention: SAMPLES WITHOUT DNA

blood; urine, bone tissue

MeSH Terms

Conditions

Chronic Kidney Disease-Mineral and Bone Disorder

Condition Hierarchy (Ancestors)

RicketsBone Diseases, MetabolicBone DiseasesMusculoskeletal DiseasesKidney DiseasesUrologic DiseasesFemale Urogenital DiseasesFemale Urogenital Diseases and Pregnancy ComplicationsUrogenital DiseasesMale Urogenital DiseasesMetabolic DiseasesNutritional and Metabolic DiseasesCalcium Metabolism DisordersVitamin D DeficiencyAvitaminosisDeficiency DiseasesMalnutritionNutrition DisordersHyperparathyroidism, SecondaryHyperparathyroidismParathyroid DiseasesEndocrine System DiseasesChronic DiseaseDisease AttributesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Margret Patecki, MD

    Hannover Medical School

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 6, 2015

First Posted

September 22, 2015

Study Start

February 1, 2015

Primary Completion

January 1, 2019

Study Completion

July 1, 2019

Last Updated

February 27, 2018

Record last verified: 2018-02

Locations