Aneurysmal Subarachnoid Heamorrhage, Nontraumatic Subarachnoid Haemorrhage
Conditions
Keywords
subarachnoid haemorrhage, cardiopulmonary complications
Brief summary
This is a prospective cohort study investigating cardiac function and cardiac biomarkers in patients with acute Aneurysmal Subarachnoid Haemorrhage (aSAH). The aims of the study are to document the incidence of myocardial dysfunction,to find the predictive factors of myocardial dysfunction, describe heart rate variability and to assess the impact of all cardiac problems on morbidity and mortality.
Detailed description
Laboratory markers daily: Routine laboratory test (blood gases, haemoglobin, thrombocytes, leukocytes, INR, bilirubin, creatinine, c-reactive protein, CK, CK-MB, Tnt, BNP, sodium, potassium, magnesium) are taken at 8 a.m. Study laboratory tests (sensitive ischemia markers, remodelling marker MMP-9 and CgA as surrogate marker for increased sympathetic activity) are taken four times during study period at the same time as cardiac ECHOes and Holtering. Gene sample is taken once on day one. Primary outcome measurement is to document the incidence of myocardial dysfunction and the predictive factors during the hospital stay and at three months. Secondary outcome is to assess the impact of cardiac problems on morbidity and mortality during first three months.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* Patients with nontraumatic subarachnoid haemorrhage * Age \> 18 years * Aneurysmal bleeding
Exclusion criteria
* No consent * Age \< 18 years * Anticipated brain death \< 24 hours * Otherwise moribund patient
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Incidence of cardiac failure and the impact of cardiac problems on morbidity | 6 months | The aims of the study are: 1. to document the incidence of myocardial dysfunction 2. to find the predictive factors of myocardial dysfunction as determined by the severity aneurysmal bleeding (Hunt and Hess-grading, Glasgow coma score, Fisher scale) and demographic factors 3. to find predictive factors for myocardial dysfunction as determined by laboratory findings, electrocardiography, and echocardiography 4. to describe heart rate variability 5. to assess the impact of all cardiac problems on morbidity |
Countries
Finland, Switzerland