Prognosis in Neurological Intensive Care Unit Patients (proNICU Cohort)
This study is currently recruiting participants.
Verified February 2013 by Charite University, Berlin, Germany
Sponsor:
Charite University, Berlin, Germany
Information provided by (Responsible Party):
Andreas Meisel, Charite University, Berlin, Germany
ClinicalTrials.gov Identifier:
NCT01463995
First received: October 31, 2011
Last updated: February 12, 2013
Last verified: February 2013
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Purpose
This study examines the prognostic properties of immune parameters, clinical scores, electrophysiological tests (eeg, ssep, emg, eng) and functional imaging for the prediction of functional outcome one year after treatment on a neurological intensive care unit.
| Condition |
|---|
|
Neurological Diseases |
| Study Type: | Observational |
| Study Design: | Observational Model: Cohort Time Perspective: Prospective |
| Official Title: | Prognosis in Neurological Intensive Care Unit Patients (proNICU Cohort) |
Resource links provided by NLM:
Further study details as provided by Charite University, Berlin, Germany:
Primary Outcome Measures:
- Predictive properties of immune parameters (IL6, IL10, mHLA-DR) for functional outcome one year after symptom onset [ Time Frame: one year after symptom onset ] [ Designated as safety issue: No ]To evaluate of the predictive properties of immune parameters (IL6, IL10, mHLA-DR) for functional outcome one year after symptom onset
Secondary Outcome Measures:
- To evaluate of the predictive properties of clinical scores for functional outcome one year after symptom onset [ Time Frame: one year after symptom onset ] [ Designated as safety issue: No ]To evaluate of the predictive properties of clinical scores for functional outcome one year after symptom onset
- To evaluate of the predictive properties of electrophysiological measurements one year after symptom onset [ Time Frame: one year after symptom onset ] [ Designated as safety issue: No ]To evaluate of the predictive properties of electrophysiological measurements one year after symptom onset
- To evaluate of the predictive properties of conventional (DTI) and functional imaging (resting state) one year after symptom onset [ Time Frame: one year after symptom onset ] [ Designated as safety issue: No ]To evaluate of the predictive properties of conventional (DTI) and functional imaging (resting state) one year after symptom onset
- Transcriptome analyses [ Time Frame: one year after symptom onset ] [ Designated as safety issue: No ]To perform transcriptome analyses to identify new biomarkers which may predict the one year- neurological outcome
- Predictive properties of immune parameters in the cerebrovascular fluid for functional outcome one year after symptom onset [ Time Frame: one year after symptom onset ] [ Designated as safety issue: No ]To evaluate of the predictive properties of immune parameters in the cerebrovascular fluid for functional outcome one year after symptom onset
- Quality of life and occurence of depression in patients one year after symptom onset [ Time Frame: one year after symptom onset ] [ Designated as safety issue: No ]To investigate the quality of life and the occurence of depression in patients one year after symptom onset
- Quality of life and the occurence of depression and bournout syndrome in relatives [ Time Frame: one year after symptom onset ] [ Designated as safety issue: No ]To investigate the quality of life and the occurence of depression and bournout syndrome in relatives of patients treated on the neurological intensive care unit one year after symptom onset
Biospecimen Retention: Samples With DNA
Blood samples (serum, plasma), cerebrovascular fluid
| Estimated Enrollment: | 200 |
| Study Start Date: | June 2012 |
| Estimated Study Completion Date: | October 2016 |
| Estimated Primary Completion Date: | October 2015 (Final data collection date for primary outcome measure) |
| Groups/Cohorts |
|---|
|
severe neurological diseases
Patients with severe neurological diseases treated on the neurological intensive care unit
|
Eligibility| Ages Eligible for Study: | 18 Years and older |
| Genders Eligible for Study: | Both |
| Accepts Healthy Volunteers: | No |
| Sampling Method: | Probability Sample |
Study Population
patients with severe neurological diseases treated on a neurological intensive care unit
Criteria
Inclusion Criteria:
- severe neurological disease making treatment on a neurological intensive care unit necessary
- age ≥ 18
- consent by the patient or the legal representative
Exclusion Criteria:
- participation in an interventional trial
Contacts and Locations
Please refer to this study by its ClinicalTrials.gov identifier: NCT01463995
Contacts
| Contact: Andreas Meisel, MD | +49 30 450 ext 560026 | andreas.meisel@charite.de |
Locations
| Germany | |
| Charite University (Center for Stroke Research Berlin CSB & NeuroCure Clinical Research Center NCRC) | Recruiting |
| Berlin, Germany | |
| Contact: Lena Ulm, MD +49 30 450 ext 639726 lena.ulm@charite.de | |
Sponsors and Collaborators
Charite University, Berlin, Germany
Investigators
| Principal Investigator: | Andreas Meisel, MD | Charite University Berlin (Center for Stroke Research Berlin CSB & NeuroCure Clinical Research Center NCRC) |
More Information
No publications provided
| Responsible Party: | Andreas Meisel, Prof. Dr. med. Andreas Meisel, Charite University, Berlin, Germany |
| ClinicalTrials.gov Identifier: | NCT01463995 History of Changes |
| Other Study ID Numbers: | proNICU cohort |
| Study First Received: | October 31, 2011 |
| Last Updated: | February 12, 2013 |
| Health Authority: | Germany: Ethics Commission of the Charité University Berlin |
Keywords provided by Charite University, Berlin, Germany:
|
severe neurological diseases neurological intensive care unit prediction |
long-term outcome biomarkers prediction of long-term outcome |
Additional relevant MeSH terms:
|
Nervous System Diseases |
ClinicalTrials.gov processed this record on June 18, 2013