P110 Using Wearable Devices to Predict Length of Stay For IBD Patients After Bowel Surgery

• DOI: 10.14309/01.ajg.0000613408.68111.f3
• Publication Date: 2019-12-03T19:11:33Z
• Authors: Yangtian Yi; Philip Sossenheimer; Victoria Rai; Katia El Jurdi; David Rubin
• Keywords: Sleep; Medical record

BACKGROUND: Understanding the factors that contribute to a prolonged length of stay (LOS) for IBD patients after bowel surgery is essential improving quality care provided these patients. Early ambulation and sleep are important post-operative recovery (1,2). We used activity data collected from wearable biosensor predict LOS undergoing surgery. METHODS: conducted prospective study Patients were Fitbit (Charge or Alta HR, San Francisco, CA) asked download install proprietary smart phone application (Litmus Health, Austin, TX) collection step data. also sociodemographic clinical via review all patients’ medical records. Associations assessed using Pearson’s correlation coefficient (r). RESULTS: Our final sample included 22 (17 CD, 5 UC), 4 whom excluded analysis only. At time surgery, mean age was 40.6 years, BMI 27.33 kg/m 2 . The median days (IQR, 4-6.75 days). Compliance wearing 81.5% 64.1% collection. There significant increase in count day 1 (POD1) POD5 (r = 0.33, P 0.015). Between POD1 POD5, an additional POD associated with 421-step count. However, failed reveal associations duration efficiency ( > 0.05). Furthermore, daily steps, duration, not significantly -0.14, 0.52; r 0.22, 0.37; -0.12, 0.64 respectively). longer on 0.87, 0.026), while higher shorter -0.88, 0.019). Moreover, more positive change POD4-5 0.95, 0.003), whereas -0.92, 0.011). CONCLUSION(S): This first characterize physical found POD5. demonstrated lower LOS. More negative plan conduct interventional assess effect