Steroid Panel for One-step Diagnosis of Adrenal Diseases

January 22, 2024 updated by: Seoul National University Hospital

Development of New Technology for One-step Diagnosis of Adrenal Diseases Based on Adrenal Hormone Panel

The aim of this study is to develop a one-step diagnostic method for adrenal diseases, Patients with adrenal diseases including non-functioning adrenal adenoma, adrenal Cushing's syndrome, primary aldosteronism, and pheochromocytoma will be recruited. Using mass spectrometry analysis based on a multisteroid panel, serum, urine, saliva, and hair samples of the patients will be analyzed. The diagnostic yield of each and combination of steroids will be evaluated.

Study Overview

Status

Completed

Conditions

Detailed Description

Adrenal diseases consist of heterogenous diseases. To differentiate various adrenal diseases, multiple steps of diagnostic tests are needed. In this study, the investigators aimed to develop a one-step diagnostic method to differentiate various adrenal diseases using multisteroid panel.

About 400 patients with adrenal diseases including non-functioning adenoma, adrenal Cushing's syndrome, primary aldosteronism, and pheochromocytoma will be recruited. Serum, hair, saliva, and urine samples of the patients will be analyzed using mass spectrometry. Each and combination of multisteroid will be evaluated for diagnosing adrenal diseases.

Study Type

Observational

Enrollment (Actual)

400

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Jongno-gu
      • Seoul, Jongno-gu, Korea, Republic of, 03080
        • Seoul National University Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

The study subjects will consist of patients who were treated for adrenal diseases such as adrenal incidentaloma, adrenal Cushing's syndrome, primary aldosteronism, and pheochromocytoma at Seoul National University Hospital, and who agreed to participate in this study at Seoul National University Hospital and Seoul National University Bundang Hospital.

Description

Inclusion Criteria:

  • Patients who are diagnosed with adrenal diseases

Exclusion Criteria:

  • Taking medications that can affect steroid metabolism
  • Major depression, chronic alcoholism
  • Suspected cancer metastasis to adrenal glands
  • Other acute stress conditions

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic accuracy of multisteroid panel for differentiating adrenal diseases
Time Frame: Within 1 year after subject recruitment when the final diagnosis of adrenal diseases are made
  • Evaluate how accurately the developed multisteroid panel diagnoses adrenal disease by measuring sensitivity (%) and specificity (%) for diagnosis of Cushing's syndrome.
  • Evaluate how accurately the developed multisteroid panel diagnoses adrenal disease by measuring sensitivity (%) and specificity (%) for diagnosis of primary aldosteronism.
  • Evaluate how accurately the developed multisteroid panel diagnoses adrenal disease by measuring sensitivity (%) and specificity (%) for diagnosis of pheochromocytoma.
Within 1 year after subject recruitment when the final diagnosis of adrenal diseases are made

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic accuracy of each steroid component for differentiating adrenal diseases
Time Frame: Within 1 year after subject recruitment when the final diagnosis of adrenal diseases are made

Evaluate how accurately each component of the steroid panel differentiate adrenal diseases.

  • Sensitivity (%) and specificity (%) of each steroid measures for adrenal Cushing's syndrome will be calculated.
  • Sensitivity (%) and specificity (%) of each steroid measures for primary aldosteronism will be calculated.
  • Sensitivity (%) and specificity (%) of each steroid measures for pheochromocytoma will be calculated.
Within 1 year after subject recruitment when the final diagnosis of adrenal diseases are made

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Chair: Jung Hee Kim, M.D., Ph.D., Seoul National University Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 21, 2021

Primary Completion (Actual)

December 31, 2023

Study Completion (Actual)

December 31, 2023

Study Registration Dates

First Submitted

June 14, 2021

First Submitted That Met QC Criteria

June 24, 2021

First Posted (Actual)

July 2, 2021

Study Record Updates

Last Update Posted (Actual)

January 23, 2024

Last Update Submitted That Met QC Criteria

January 22, 2024

Last Verified

June 1, 2021

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 2105-008-1215

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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