Stroke Clinical Trial
Official title:
Copeptin as a Novel Diagnostic and Prognostic Marker in the Management of Neurological and Neurosurgical Patients With Sodium Imbalance The "COSMOS"-Study (Copeptin in Osmoregulation and Stress Assessment)
Sodium imbalance is common and an adverse prognostic factor in hospitalized patients.
However, identifying the causes of sodium imbalance is challenging in clinical practice.
Levels of antidiuretic hormone (ADH) are elevated in patients with stroke correlating with
disease severity and stress level; however, its measurement is cumbersome. ADH is derived
from a larger precursor peptide along with Copeptin, which is a more stable peptide directly
mirroring the production of ADH. Copeptin can be assayed readily in plasma. Early prognostic
factors to predict in-hospital mortality and medium/long-term outcome in critically ill
neurological patients, are helpful to guide and tailor early decisions on treatment,
discharge from the intensive care unit and application of interventions to prevent
deterioration of neurological functions.
We hypothesize that copeptin will improve the diagnostic accuracy to diagnose sodium
imbalances as compared to routinely used markers Furthermore, we hypothesize that Copeptin
will be a reliable prognostic tool, dependent or independent of sodium imbalance, to predict
short-term (i.e. in-hospital) and medium-term (i.e. 3 months) clinical outcome in stroke
patients.
Background:
Sodium imbalance is common and an adverse prognostic factor in hospitalized patients.
However, identifying the causes of sodium imbalance is challenging in clinical practice.
Levels of antidiuretic hormone (ADH) are elevated in patients with stroke correlating with
disease severity and stress level; however, its measurement is cumbersome. ADH is derived
from a larger precursor peptide along with Copeptin, which is a more stable peptide directly
mirroring the production of ADH. Copeptin can be assayed readily in plasma. Early prognostic
factors to predict in-hospital mortality and medium/long-term outcome in critically ill
neurological patients, are helpful to guide and tailor early decisions on treatment,
discharge from the intensive care unit and application of interventions to prevent
deterioration of neurological functions.
Aim: To evaluate Copeptin as a diagnostic tool in disturbances of water homeostasis and
prognostic tool to predict outcome in a well-defined cohort of stroke patients and patients
undergoing intracranial surgery.
Design: Prospective, observational study. Location Setting: Emergency and neurological and
neurosurgical clinic of the University Hospital of Basel.
Patients: Neurological patients with ischemic and hemorrhagic stroke and patients undergoing
intracranial surgery.
Intervention: After informed consent, all routinely determined baseline data will be
assessed including medical history, clinical items (i.e. neurological status, volume status,
pulse rate, blood pressure, weight) and laboratory items (i.e. urine / serum osmolality,
electrolytes, among others). All patients will have a follow-up with clinical and laboratory
assessment until the day of discharge. After 3 months, they will be followed-up by a
structured telephone interview to assess outcome (mortality, morbidity, as assessed by the
ranking scale and Barthel index). Copeptin will be assessed in a batch analysis upon
completion of the plasma asseveration.
Variables and measurements: Baseline data on medical history and clinical items,
co-morbidities and treatment procedures will be collected. This exploratory study will be
conducted over a 12 month period from November 2006 to November 2007.
Study hypothesis: 1. Copeptin will improve the diagnostic accuracy to diagnose sodium
imbalances as compared to routinely used markers 2. Copeptin will be a reliable prognostic
tool, dependent or independent of sodium imbalance, to predict short-term (i.e. in-hospital)
and medium-term (i.e. 3 months) clinical outcome in stroke patients.
Analysis: Our sample size consideration is based on the second prognostic question to
predict the outcome of neurological and neurosurgical patients. To determine an optimal
clinical model we will undertake a multivariable regression analysis to assess which
variables are independently associated with outcome. Multiple regression models with a
minimum of 10 to 15 observations per predictor variable reveal good estimates. We will
evaluate 18 predictors in our multivariate analysis. Therefore, we aim to include a minimum
sample size of 180 patients (for 10 observations per predictor) to 270 (for 15 observations
per predictor) and a maximum sample size of 360 patients (for 20 observations per
predictor).
Significance: Despite the frequent occurrence and the poor outcomes of serious disorders of
sodium balance, few controlled data are available to guide the clinician. A better
diagnostic approach to determine the etiology of hyponatremia should improve patient
management. Copeptin as a prognostic marker in neurological and neurosurgical patients could
become an innovative tool to guide early treatment decisions, discharge from the stroke unit
and application of interventions.
;
Observational Model: Cohort, Time Perspective: Prospective
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