Description
Cirrhosis, irreversible scaring of the liver, causes decreased mental, physical, and biochemical function. Hepatic Encephalopathy (HE), a potentially reversible neuro-psychiatric complication of cirrhosis, causes significant morbidity and mortality. Symptoms range from inattentiveness and mild personality changes to coma. Symptoms may rapidly fluctuate with a time course of hours to days. Patients frequently do not present to the healthcare setting until their disease progresses requiring hospitalization. Early identification may motivate early treatment; however, diagnosis of early HE requires complex and time-consuming neuropsychological testing, which is often infeasible in the clinical setting. We report a feasibility study of using digital phenotyping, by combining continuously recorded data from a subject’s smartphone and a wearable activity monitor. Digital datastreams included typing speed, spelling errors, activity level, heart rate, and sleep patterns. In this feasibility study we demonstrate 114 patient-days’ worth of data collection and identify potential trends between the digital phenotypic markers and cognitive status.
Learning Objective: 1. Identify digital phenotyping platforms and data sources.
2. Understand barriers to recruitment of cognitively impaired patients with lower socioeconomic status.
Authors:
Jejo Koola (Presenter)
University of California San Diego
Veeral Ajmera, University of California, San Diego
Job Godino, University of California, San Diego
Lauren L'Heureux, University of California, San Diego
Amanda Gooding, University of California, San Diego
Marc Norman, University of California, San Diego
Faraz Hussain, University of Illinois at Chicago
Alex Leow, University of Illinois at Chicago
Presentation Materials: