Multivariate identification of disease-specific electrophysiological biomarkers for computerized differential diagnosis, monitoring and long-term assessment of burnout and fatigue - Exploratory study

Multivariate identification of disease-specific electrophysiological biomarkers for computerized differential diagnosis, monitoring and long-term assessment of burnout and fatigue - Exploratory study - eBio-BFdiagnostic

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00032315

Enrollment

192

Registered

2023-07-21

Start date

2022-07-01

Completion date

Unknown

Last updated

2026-03-02

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

Conditions

fatigue, depression, burnout

Interventions

Group 1: Single Arm exploratory study with 192 patients with different basic medical conditions. The present study aims at the multifactorial assessment of fatigue, burnout and depression, and investi

Eligibility

Sex/Gender

All

Age

20 Years to 50 Years

Inclusion criteria

Inclusion criteria: Gender: men and women (~50%, ~50%) All patients will be clinically diagnosed before they can participate in the study Electrophysiological measurements are performed at rest in untreated patients (diagnosed but not treated) Clear diagnosis for fatigue, burnout and depression are available (clinical questionnaires, ICD, specialist diagnosis) Clear definitions of the groups (ICD) + clinical questionnaires Written consent of the participants Written consent of the participants for the transfer of pseudonymized data in the context of the documentation. Capacity to give consent

Exclusion criteria

Exclusion criteria: Serious physiological or psychiatric pre-existing/co-existing medical condition. Other pre-existing diseases and health conditions that could interfere with the subject's ability to receive treatment according to the study plan Participation in other studies to the extent that they interfere with study participation

Design outcomes

Primary

Measure	Time frame
The present study aims at the multifactorial assessment of fatigue, burnout and depression, and investigates various influencing factors associated with fatigue, burnout and depression in order to identify specific electrophysiological biomarkers characteristic of fatigue, burnout and depression, which will contribute to the targeted, inexpensive and effective differential diagnosis and long-term assessment of disease progression. It is envisioned to create an objective, non-invasive tool (computer-aided diagnostic finding) that can be used for clinical prediction and diagnosis of fatigue, burnout, and depression, and grading into severity levels.	—

Measure

Time frame

The present study aims at the multifactorial assessment of fatigue, burnout and depression, and investigates various influencing factors associated with fatigue, burnout and depression in order to identify specific electrophysiological biomarkers characteristic of fatigue, burnout and depression, which will contribute to the targeted, inexpensive and effective differential diagnosis and long-term assessment of disease progression. It is envisioned to create an objective, non-invasive tool (computer-aided diagnostic finding) that can be used for clinical prediction and diagnosis of fatigue, burnout, and depression, and grading into severity levels.

—

Secondary

Measure	Time frame
None. explorative study	—

Countries

Germany

Contacts

Public ContactGeorg Seifert

Charité - Universitätsmedizin Berlin, Klinik für Pädiatrie mit Schwerpunkt Onkologie und Hämatologie

georg.seifert@charite.de+49 30 450 666 087

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Mar 14, 2026