Ischemic Stroke and Intracranial Hemorrhages During Impella Cardiac Support.
Catherine E HassettSung-Min ChoSaad HasanCory J RiceIbrahim MigdadyRandall C StarlingEdward SolteszKen UchinoPublished in: ASAIO journal (American Society for Artificial Internal Organs : 1992) (2021)
Impella is a percutaneously placed, ventricular assist device for short-term cardiac support. We aimed to study acute neurologic complications during short-term cardiac support with Impella. We reviewed prospectively collected data of 79 consecutive persons implanted with Impella at a single tertiary center. Acute neurologic events (ANE) were defined as ischemic strokes or intracranial hemorrhages. Among those with ANE, specific causes of ischemic and hemorrhagic events were collected and discussed. Of 79 persons with Impella with median 8 days of support (range 1-33 days), six (7.5%) developed ANE at a median of 5 days from implant (range 1-8 days). There were three ischemic strokes, two intracerebral hemorrhages, and one subdural hematoma. Hemorrhagic events were attributed to anticoagulant use and thrombocytopenia at the time of the events. Two ischemic strokes were attributed to inadequate anticoagulation with one case of pump thrombosis diagnosed at the time of ischemic stroke. Only two of the six patients survived the acute cardiogenic shock period to achieve heart transplantation. In-hospital ischemic strokes and intracranial hemorrhages are not uncommon during short-term cardiac support period with Impella. Antithrombotic intensity, duration of device support time, and thrombocytopenia might contribute to the incidence of these events.
Keyphrases
- atrial fibrillation
- extracorporeal membrane oxygenation
- left ventricular
- liver failure
- left ventricular assist device
- respiratory failure
- ischemia reperfusion injury
- heart failure
- cerebral ischemia
- drug induced
- aortic dissection
- end stage renal disease
- risk factors
- newly diagnosed
- machine learning
- acute respiratory distress syndrome
- intensive care unit
- oxidative stress
- prognostic factors
- big data
- electronic health record
- deep learning
- artificial intelligence
- patient reported outcomes
- mechanical ventilation
- blood brain barrier
- acute care