Objectives: The introduction of time-dependent reperfusion therapies in acute ischemic stroke has increased the need for early identification. We explore the safety and feasibility of STROKE ALARM which detects sudden arm paresis, the most frequent symptom in stroke.
Materials and methods: Consecutive patients admitted with a stroke or TIA at Skåne University Hospital were screened according to inclusion and exclusion criteria, and included in the STROKE ALARM PRO 1 Study aiming to explore the feasibility of prolonged use (30 days) of the system in the community. STROKE ALARM consists of paired arm bracelets with accelerometers, coupled with a stroke test in a smartphone application. In case of an imbalance in arm movements, the user is prompted to perform an app-based stroke test. Failure to respond or to complete the stroke test correctly, triggers notification by SMS to predefined emergency contacts. Patients were followed up by telephone after completion.
Results: Thirty patients were included and 28 completed follow-up. Median age was 68 years and 36.7% were female. No stroke events were recorded during follow-up. False indications occurred in all but one patient, and 22 (78.6%) experienced alarms to their emergency contacts. Despite a high level of false alarms, general user experience was rated in a positive or neutral manner by almost 90%. Very frequent alarms were probably due to mild arm paresis not detected in routine clinical assessment.
Conclusions: Use of STROKE ALARM for 30 days after stroke/TIA was well tolerated warranting further study for early automated detection of stroke recurrence.
Keywords: Accelerometer; Arm paresis; Machine learning; NIHSS; Smartphone; Stroke; Stroke surveillance; TIA.
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