- ICH GCP
- Amerikanska kliniska prövningsregistret
- Klinisk prövning NCT00814814
Protein S100 Beta as a Predictor of Resuscitation Outcome
Protein S100 Beta as a Predictor of the Outcome of Cardiopulmonary Resuscitation
Management of cardiac arrest is complicated by the lack of a readily available tool identifying individuals who are likely to be successfully resuscitated. S100 beta is a protein that originates in the astroglial cells of the brain, and NSE (Neuron Specific Enolase) is another protein that originates in the neurons themselves. In the laboratory, the concentration of these proteins correlate with evidence of brain damage after head trauma, stroke and exposure to low levels of oxygen. The concentration of these proteins in the blood of human survivors of cardiopulmonary resuscitation in humans is much higher than in patients who were resuscitated but did not survive. However, it is still unclear whether survivors from cardiopulmonary resuscitation have higher levels of these proteins in their blood if they survive with neurological injury secondary to the arrest and resuscitation.
Hypothesis: In humans, the blood concentrations of protein S100 beta and NSE during and after resuscitation can predict who will die despite cardiopulmonary resuscitation and who will survive with neurological injury secondary to the arrest and resuscitation.
Studieöversikt
Status
Betingelser
Studietyp
Inskrivning (Faktisk)
Kontakter och platser
Studieorter
-
-
-
Jerusalem, Israel, 91120
- Hadassah Medical Center
-
Jerusalem, Israel, 91031
- Shaare Zedek Medical Center
-
-
Deltagandekriterier
Urvalskriterier
Åldrar som är berättigade till studier
Tar emot friska volontärer
Kön som är behöriga för studier
Testmetod
Studera befolkning
Beskrivning
Inclusion Criteria:
- All victims of non-traumatic out-of hospital cardiopulmonary arrest (defined as the absence of either spontaneous respiration or palpable pulse or both) within the Jerusalem district.
Exclusion Criteria:
- Patients with do-not-resuscitate orders or an advance directive to that effect.
- Patients with intracranial hemorrhage
Studieplan
Hur är studien utformad?
Designdetaljer
Kohorter och interventioner
Grupp / Kohort |
|---|
|
Cardiopulmonary arrest
|
Vad mäter studien?
Primära resultatmått
Resultatmått |
Tidsram |
|---|---|
|
Poor versus good patient outcome at discharge was used to test the study hypotheses of improved prediction attributable to S100B and NSE concentration.
Tidsram: within 24 hours of discharge
|
within 24 hours of discharge
|
Samarbetspartners och utredare
Sponsor
Utredare
- Huvudutredare: Sharon Einav, MD, Shaare Zedek Medical Center
Publikationer och användbara länkar
Allmänna publikationer
- Einav S, Kaufman N, Algur N, Strauss-Liviatan N, Kark JD. Brain biomarkers and management of uncertainty in predicting outcome of cardiopulmonary resuscitation: a nomogram paints a thousand words. Resuscitation. 2013 Aug;84(8):1083-8. doi: 10.1016/j.resuscitation.2013.01.031. Epub 2013 Feb 4.
- Einav S, Kaufman N, Algur N, Kark JD. Modeling serum biomarkers S100 beta and neuron-specific enolase as predictors of outcome after out-of-hospital cardiac arrest: an aid to clinical decision making. J Am Coll Cardiol. 2012 Jul 24;60(4):304-11. doi: 10.1016/j.jacc.2012.04.020.
Studieavstämningsdatum
Studera stora datum
Studiestart
Primärt slutförande (Förväntat)
Avslutad studie (Förväntat)
Studieregistreringsdatum
Först inskickad
Först inskickad som uppfyllde QC-kriterierna
Första postat (Uppskatta)
Uppdateringar av studier
Senaste uppdatering publicerad (Faktisk)
Senaste inskickade uppdateringen som uppfyllde QC-kriterierna
Senast verifierad
Mer information
Termer relaterade till denna studie
Ytterligare relevanta MeSH-villkor
Andra studie-ID-nummer
- 14-01-05 A and B (correction)
Plan för individuella deltagardata (IPD)
Planerar du att dela individuella deltagardata (IPD)?
Denna information hämtades direkt från webbplatsen clinicaltrials.gov utan några ändringar. Om du har några önskemål om att ändra, ta bort eller uppdatera dina studieuppgifter, vänligen kontakta register@clinicaltrials.gov. Så snart en ändring har implementerats på clinicaltrials.gov, kommer denna att uppdateras automatiskt även på vår webbplats .