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Study of the Diagnostic Value of Stable Calcium Isotope Profiling in Bone and Calcium Disorders

Endogenous Calcium Stable Isotope Study (eCaSIS): Evaluation of MC-ICP-MS as a Diagnostic Tool for Metabolic Bone Diseases and Disorders of Calcium Metabolism

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02252679
Acronym
eCaSIS
Enrollment
54
Registered
2014-09-30
Start date
2014-10-31
Completion date
2018-12-31
Last updated
2020-11-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Bone Diseases, Osteomalacia, Osteoporosis

Keywords

Bone Turnover Markers, Calcium Isotopes

Brief summary

The purpose of this study is to determine whether mass spectrometry analysis of stable (non-radioactive) calcium isotopes in plasma or urine samples can help in the diagnosis of bone and calcium disorders.

Detailed description

The aim of this pilot study is to explore the diagnostic value of MC-ICP-MS (multicollector inductively coupled plasma mass spectrometry) or TIMS (thermal ionization mass spectrometry) measurement of endogenous stable calcium isotopes in plasma and urine samples in patients seen during routine clinical care at the outpatient clinics (incl. Center for Metabolic Bone Diseases) of the University Hospitals Leuven.

Interventions

None listed

Sponsors

GEOMAR-Helmholtz Centre for Ocean Research
CollaboratorUNKNOWN
Universitaire Ziekenhuizen KU Leuven
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* DXA (dual energy X-ray absorptiometry) T-score known clinically to be = or \< -2.5 OR presence of low-energy osteoporotic fractures (i.e. excluding those of the skull, fingers and toes) \[for osteoporosis and calcium malabsorption patients\]

Exclusion criteria

* inability to provide written informed consent

Design outcomes

Primary

MeasureTime frameDescription
Likelihood ratio (LR) of urinary calcium δ44/40 Ca (‰) values for diagnosing negative skeletal calcium balancefollow-up will vary on clinical basis, with expected averages of 1 year (for osteoporosis) to 3 months (for other conditions)The sensitivity, specificity, positive and negative predictive value of the new test will be compared to expert clinical diagnosis as the gold standard. This diagnosis is established during follow-up and based on clinical observations, bone mineral density results/changes, bone turnover markers and response to treatments.

Secondary

MeasureTime frameDescription
Likelihood ratio (LR) of plasma calcium δ44/40 Ca (‰) values for diagnosing negative skeletal calcium balancefollow-up will vary on clinical basis, with expected averages of 1 year (for osteoporosis) to 3 months (for other conditions)The sensitivity, specificity, positive and negative predictive value of the new test will be compared to expert clinical diagnosis as the gold standard. This diagnosis is established during follow-up and based on clinical observations, BMD results, bone turnover markers and response to treatments.
Area under the receiver-operator curve (AUROC) of calcium δ44/40 Ca (‰) values compared to bone turnover markers, with expert clinical diagnosis as the golden standardfollow-up will vary on clinical basis, with expected averages of 1 year (for osteoporosis) to 3 months (for other conditions)Osteocalcin and bèta-CTx (C-terminal telopeptide of type I collagen) will be measured.

Other

MeasureTime frameDescription
Inter- and intra-assay variability of plasma and urine calcium δ44/40 Ca (‰) valuesfollow-up will vary on clinical basis, with expected averages of 1 year (for osteoporosis) to 3 months (for other conditions)
calcium δ44/40 Ca (‰) values of human bone samplesbefore and 1 year after kidney transplantationSecondary use of bone biopsy samples obtained in the Leuven Bone Biopsy Program (NCT01886950)

Countries

Belgium, Germany

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026