Study on the Predictive Value of the Natural Calcium Isotope Ratio in Urine and Serum for the Diagnosis of Osteoporosis

NCT ID: NCT02967978

Last Updated: 2021-02-09

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 130 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2016-11-22
• Study Completion Date: 2019-08-16

Brief Summary

The study aims at investigating whether the natural calcium isotope ratio (δ44/40Ca) in urine and serum differs between postmenopausal women aged 50 to 75 years suffering from osteoporosis and a healthy control group and whether δ44/40Ca in urine and serum can be used for the diagnosis of osteoporosis or whether further parameters have to be included.

Detailed Description

According to the operational definition of WHO in the year 1994 osteoporosis is present if bone mineral content as assessed by DXA densitometry of the lumbar spine and/or proximal femur (total area or femoral neck) deviates from the mean of a 20 to 29 years old women by at least -2.5 standard deviations (DXA T-Score ≤ -2.5). This definition of osteoporosis is only valid after exclusion of other disorders, which may be associated with a reduction of bone mineral content and exclusion of osteomalacia.

By an individual screening 100 women will be included in the study who are characterized concerning existing or non-existing osteoporosis according to the guidelines of DVO 2014 and ISCD 2015, respectively.

According to the EPOS study results the prevalence of osteoporosis in Germany in postmenopausal women aged 50 to 60 years is about 15% and at the age of more than 70 years about 45%. In case of risk factors, such as hip fracture of father and/or mother, smoking, lactose intolerance, vegan nutrition, underweight (BMI < 20), diabetes, intake of loop diuretics, glucocorticoids, aromatase inhibitors and proton pump inhibitors a higher prevalence can be assumed. Thus by electing women with at least one risk factor of osteoporosis a higher proportion may meet the criteria of osteoporosis.

Since some women are expected to present with low vitamin D levels and so far are expected to present with osteomalacia, and since other exclusion criteria may occur, N = 100 women will be investigated, in order to obtain data from N = 80 women who may meet the criteria of the target group (about N = 40 with osteoporosis and about N = 40 without osteoporosis (normal control).

Conditions

Osteoporosis

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Eligibility Criteria

Inclusion Criteria

• Postmenopausal women
• Age 50 - 75 years
• Fullfilling the criteria for diagnostic examination for osteoporosis incl. DXA according to DVO/ZÄS list 2015
• Written informed consent

Exclusion Criteria

• known fracture within the last 3 months
• DXA within the last 12 month before inclusion
• Substitution with sex hormones
• Substitution with non-identified calcium supplements
• Vitamin D deficiency (post-hoc stratifying and exclusion from primary analysis, respectively)
• Hyperparathyreoidism (by history and based on calcium, phosphate and chloride in serum
• known renal failure
• known cancer disease
• Current enrollement in a clinical intervention trial
• Enrollement in a clinical intervention trial within the last 4 weeks
• Severe cognitive or psychiatric disorder
• Scheduled hospitalisation before the radiological examination (DXA)
• Legal incapacity

• Minimum Eligible Age: 50 Years
• Maximum Eligible Age: 75 Years
• Eligible Sex: FEMALE
• Accepts Healthy Volunteers: Yes

Sponsors

University of Kiel

OTHER

Sponsor Role: collaborator

Clinical Research Center Kiel GmbH

OTHER

Sponsor Role: lead

Responsible Party

Dr. Christiane Laue, MD

Dr. med (medical doctor)

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Christiane Laue, Dr. med

Role: PRINCIPAL_INVESTIGATOR

Clinical Research Center Kiel GmbH

Locations

Clinical Research Center Kiel GmbH

Kiel, Schleswig-Holstein, Germany

Countries

Germany

Other Identifiers

GEO-Osteo-2016

Identifier Type: -

Identifier Source: org_study_id