Clinical trial NCT01960699: Proteomic Profiling to Reveal Novel Prognostic Markers for Neurological Outcome Following Resuscitation
Official title: Proteomic Profiling to Reveal Novel Prognostic Markers for Neurological Outcome Following Resuscitation
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Cardiac Arrest With Successful Resuscitation
Keywords: Prognosis
Neurological outcome
Resuscitation
Biomarker
Lead sponsor: Medical University of Vienna
Sponsor class: OTHER
First posted: 2013-10-11
Enrollment: 96
Sex: ALL
Minimum age (years): 18
Maximum age (years): 99
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: PROBABILITY_SAMPLE
Study population: Resuscitated patients

Brief summary: Background: Cardiac arrest is a life-threatening event. Intensivists are challenged with an increasing number of patients with uncertain neurological outcome following cardiopulmonary resuscitation (CPR). The prognostic value of current biomarkers for neurophysiologic long-term outcome is limited.

Hypothesis: We hypothesize that specific brain-derived tissue leakage proteins can be identified to reveal novel, more reliable prognostic biomarkers for good neurological outcome.

Methods: This translational study (n=100) is a combination of a prospective basic science study intended to reduce the number of potential plasma biomarker candidates by proteomic shotgun analyses in brain tissue autopsy samples and plasma samples from resuscitated patients (n=10) and a prospective clinical validation study in a large study population (n=90) by high-throughput analyses. Selection of proteomic markers and signature estimation will be performed to discriminate patients with good and poor outcome.

Clinical perspective: A structured proteomic analysis approach might identify the best marker out of all proteins liberated during cellular damage.

Detailed description: Background: Cardiac arrest is a life-threatening event. Intensivists are challenged with an increasing number of patients with uncertain neurological outcome following cardiopulmonary resuscitation (CPR). The prognostic value of current biomarkers for neurophysiologic long-term outcome is limited. Therefore, identification of novel plasma markers with higher predictive value for neurophysiological recovery is critical for patient management after CPR.

Hypothesis: We hypothesize that specific brain-derived tissue leakage proteins can be identified to reveal novel, more reliable prognostic biomarkers for good neurological outcome.

Methods: This translational study (n=100) is a combination of a prospective basic science study intended to reduce the number of potential plasma biomarker candidates by proteomic shotgun analyses in brain tissue autopsy samples and plasma samples from resuscitated patients (n=10) and a prospective clinical validation study in a large study population (n=90) by high-throughput analyses. Samples will be analyzed by proteomic shotgun analyses using the Q-Exactive quadrupole-orbitrap mass spectrometer (MS). MS/MS data will be interpreted by the MaxQuant and Perseus Software. In order to identify brain-derived proteins within plasma, the plasma proteome of 10 resuscitated patients will be compared to the proteomic profile of brain tissue. This will reduce the number of potential plasma biomarker candidates associated with neurologic outcome. The prospective validation in plasma samples will be performed by a targeted proteomics approach using selected reaction monitoring (SRM) on a triple quadrupole ion MS. Neurological outcome will be assessed by the five-point scale (death, persistent vegetative state, severe disability, moderate disability, and good recovery) according to the cerebral performance categories (CPC). A CPC sore of \<3 is considered a good neurological outcome. Selection of proteomic markers and signature estimation will be performed by L1 regularized logistic regression, where the tuning parameter will be optimized by cross-validated model performance. The signature's ability to discriminate patients with good and poor outcome will be described by ROC analysis.

Clinical perspective: An accurate predictor of neurological outcome following CPR is of utmost clinical importance. However, previous studies focused on a very limited array of biomarkers. Therefore, a structured proteomic analysis approach might identify the best marker out of all proteins liberated during cellular damage.

Eligibility criteria: Inclusion Criteria:

1. Nontraumatic, normothermic cardiac arrest due to cardiac disorders, respiratory failures, or hemodynamic or metabolic factors.
2. A Glasgow Coma Scale of 3, none of the patients will be conscious at the time of hospital admission.
3. No previous cardiac arrest, as well as known or coexisting neurological disorders or neoplasms of the central nervous system.
4. No history of psychiatric illness, no alcohol or drug dependency, and no psychotropic medication.
5. Initiation of mild therapeutic hypothermia

Exclusion Criteria:

1. hydrocephalus and shunt artifact
2. severe movement artifacts
3. intracerebral hemorrhage
4. old large ischemic lesion

Primary outcomes:
measure: Cerebral performance categories (CPC)of <3
timeFrame: participants will be followed for the duration of intensive-care unit stay, an expected average of 2 weeks.
Secondary outcomes:
measure: Cerebral performance categories (CPC)of <3
timeFrame: 6 Months
Other outcomes:
measure: Brain glucose metabolism
timeFrame: Day 1 after end of cooling period
measure: Clinical outcome (rehospitalization and death)
timeFrame: 3 years
Locations:
city: Vienna
country: Austria
facility: Medical University of Vienna
Study officials:
affiliation: Medical University of Vienna
name: Christopher Adlbrecht, MD
role: PRINCIPAL_INVESTIGATOR
References:
citation: Distelmaier K, Muqaku B, Wurm R, Arfsten H, Seidel S, Kovacs GG, Mayer RL, Szekeres T, Wallisch C, Hubner P, Goliasch G, Heinze G, Heinz G, Sterz F, Gerner C, Adlbrecht C. Proteomics-Enriched Prediction Model for Poor Neurologic Outcome in Cardiac Arrest Survivors. Crit Care Med. 2020 Feb;48(2):167-175. doi: 10.1097/CCM.0000000000004105.