IRIS: A Modular Platform for Continuous Monitoring and Caretaker Notification in the Intensive Care Unit.

OBJECTIVE: New approaches are needed to interpret large amounts of physiologic data continuously recorded in the ICU. We developed and prospectively validated a versatile platform (IRIS) for real-time ICU physiologic monitoring, clinical decision making, and caretaker notification. METHODS: IRIS was implemented in the neurointensive care unit to stream multimodal time series data, including EEG, intracranial pressure (ICP), and brain tissue oxygenation (PbtO2), from ICU monitors to an analysis server. IRIS was applied for 364 patients undergoing continuous EEG, 26 patients undergoing burst suppression monitoring, and four patients undergoing intracranial pressure and brain tissue oxygen monitoring. Custom algorithms were used to identify periods of elevated ICP, compute burst suppression ratios (BSRs), and detect faulty or disconnected EEG electrodes. Hospital staff were notified of clinically relevant events using our secure API to route alerts through a password-protected smartphone application. RESULTS: Sustained increases in ICP and concordant decreases in PbtO2 were reliably detected using user-defined thresholds and alert throttling. BSR trends computed by the platform correlated highly with manual neurologist markings (r2 0.633-0.781; p < 0.0001). The platform identified EEG electrodes with poor signal quality with 95% positive predictive value, and reduced latency of technician response by 93%. CONCLUSION: This study validates a flexible real-time platform for monitoring and interpreting ICU data and notifying caretakers of actionable results, with potential to reduce the manual burden of continuous monitoring services on care providers. SIGNIFICANCE: This work represents an important step toward facilitating translational medical data analytics to improve patient care and reduce health care costs.

Cutting Edge Acute Ischemic Stroke Management.

Acute ischemic stroke (AIS) is a medical emergency that requires prompt recognition and streamlined work-up to ensure that time-dependent therapies are initiated to achieve the best outcomes. This article discusses frequently missed AIS in the emergency department, the role of various imagining modalities in the work-up of AIS, updates on the use of intravenous thrombolytics and endovascular therapy for AIS, pearls on supportive care management of AIS, and prehospital and hospital process improvements to shorten door-to-needle time.

Electroencephalogram Abnormalities During Positional Changes in Brain Sagging Syndrome.

PURPOSE: Brain sagging after craniotomy and clipping of a ruptured aneurysm is a rare complication. Clinical and electrographic changes in patients with a final diagnosis of intracranial hypotension are not well described, and can be mistaken on rare occasions for other entities such as nonconvulsive status epilepticus. There may be resulting delay in the diagnosis and treatment of this potentially life-threatening disorder. METHODS: Case report and imaging. RESULTS: We present a case of intracranial hypotension in which concerning continuous electroencephalogram (cEEG) and quantitative EEG (qEEG) findings were noted during active sagging of the brain, which resolved with supine positioning. During upright seating, cEEG showed high-amplitude bilateral rhythmic 2-Hz slow-wave activity, and bilateral increase of spectral delta power on qEEG, in association with neurologic decline in function. When placed in supine position, the cEEG and qEEG abnormalities resolved in conjunction with the recovery of neurologic function. CONCLUSIONS: Brain sagging can be diagnosed using simple maneuvers such as supine positioning. This case report describes changes seen in cEEG and qEEG monitoring that accompany these maneuvers, which may provide further evidence for the diagnosis of brain sagging. Thus, cEEG and qEEG monitoring may have a role in the early detection and treatment of brain sagging.