Prospective Registry of Mobilization-, Routine- and Outcome Data of Intensive Care Patients

NCT ID: NCT03666286

Last Updated: 2025-09-19

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

TERMINATED

Total Enrollment

1172 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-02-01

Study Completion Date

2022-11-22

Brief Summary

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Registry database of intensive care patients. These data comprises of routine data including mobilization data and follow up assessments.

Detailed Description

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Registry database of intensive care patients. These data comprises of routine data including mobilization data and follow up assessments.

The database is supposed to help quality improvement as well as

Conditions

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Critical Care Rehabilitation Outcome Assessment (Health Care)

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Intensive Care Patients

Patients \>24h on intensive care

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Intensive care unit stay \> 24 hours

Exclusion Criteria

\-
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Technical University of Munich

OTHER

Sponsor Role lead

Responsible Party

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Prof. Dr. Stefan Schaller, MD

Senior Specialist Intensive Care

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Stefan J Schaller, MD

Role: PRINCIPAL_INVESTIGATOR

Technical University of Munich

Locations

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Klinikum rechts der Isar der TUM

Munich, Bavaria, Germany

Site Status

Countries

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Germany

References

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Lorenz M, Fuest K, Ulm B, Grunow JJ, Warner L, Bald A, Arsene V, Verfuss M, Daum N, Blobner M, Schaller SJ. The optimal dose of mobilisation therapy in the ICU: a prospective cohort study. J Intensive Care. 2023 Nov 20;11(1):56. doi: 10.1186/s40560-023-00703-1.

Reference Type DERIVED
PMID: 37986100 (View on PubMed)

Fuest KE, Ulm B, Daum N, Lindholz M, Lorenz M, Blobner K, Langer N, Hodgson C, Herridge M, Blobner M, Schaller SJ. Clustering of critically ill patients using an individualized learning approach enables dose optimization of mobilization in the ICU. Crit Care. 2023 Jan 3;27(1):1. doi: 10.1186/s13054-022-04291-8.

Reference Type DERIVED
PMID: 36597110 (View on PubMed)

Other Identifiers

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DRKS00011576

Identifier Type: REGISTRY

Identifier Source: secondary_id

MOBDB

Identifier Type: -

Identifier Source: org_study_id

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