Using Wearable Biosensors to Predict Length of Stay for Patients with IBD After Bowel Surgery

Yangtian Yi; Philip H Sossenheimer; Amarachi I Erondu; Kinga B Skowron; Victoria Rai; Jorie M Singer; Katia El Jurdi; Neil H Hyman; David T Rubin

doi:10.1007/s10620-021-06910-w

Using Wearable Biosensors to Predict Length of Stay for Patients with IBD After Bowel Surgery

Dig Dis Sci. 2022 Mar;67(3):844-853. doi: 10.1007/s10620-021-06910-w. Epub 2021 Mar 24.

Authors

Yangtian Yi¹, Philip H Sossenheimer¹, Amarachi I Erondu¹, Kinga B Skowron¹, Victoria Rai¹, Jorie M Singer¹, Katia El Jurdi¹, Neil H Hyman¹, David T Rubin²

Affiliations

¹ University of Chicago Medicine Inflammatory Bowel Disease Center, 5841 S. Maryland Ave, MC 4076, Chicago, IL, 60637, USA.
² University of Chicago Medicine Inflammatory Bowel Disease Center, 5841 S. Maryland Ave, MC 4076, Chicago, IL, 60637, USA. drubin@medicine.bsd.uchicago.edu.

Abstract

Background and aims: It remains unknown whether ambulation or sleep predicts postoperative length of stay for patients with IBD. We aim to identify the utility of wearable biosensors in predicting postoperative length of stay for patients with IBD.

Methods: Associations of postoperative length of stay with step count/sleep duration/sleep efficiency measured by wearable biosensors were examined. The best-fitting multivariable linear regression model predicting length of stay was constructed using stepwise model selection.

Results: Final sample included 37 patients. Shorter sleep duration on postoperative day 4 (r = 0.51, p = 0.043) or 5 (r = 0.81, p = 0.0045) or higher sleep efficiency on postoperative day 5 (r = - 0.77, p = 0.0098) was associated with a shorter length of stay. Additionally, a more positive change in sleep efficiency from postoperative day 4-5 was associated with a shorter length of stay (r = - 0.77, p = 0.024). The best-fitting multivariable linear regression model revealed Clavien-Dindo grade 1 (p = 0.045) and interaction between Clavien-Dindo grade 2/3a and mean daily steps (p = 0.00038) are significant predictors of length of stay. The following variables were not significantly associated with length of stay: mean daily steps/sleep duration/sleep efficiency, average rate of change in these three variables, and changes in step count between successive postoperative days 1-5, sleep duration between successive postoperative days 2-5, and sleep efficiency between successive postoperative days 2-4.

Conclusion: We demonstrated the utility of activity and sleep data from wearable biosensors in predicting length of stay. Patients with more severe complications may benefit more (i.e., reduced postoperative length of stay) from increased ambulation. However, overall, sleep duration/efficiency did not predict length of stay.

Keywords: Colorectal surgery; Inflammatory bowel diseases; Length of stay; Wearable electronic devices.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Biosensing Techniques*
Digestive System Surgical Procedures* / adverse effects
Humans
Inflammatory Bowel Diseases* / complications
Inflammatory Bowel Diseases* / diagnosis
Inflammatory Bowel Diseases* / surgery
Length of Stay
Postoperative Complications / diagnosis
Postoperative Complications / etiology
Retrospective Studies
Wearable Electronic Devices*

Grants and funding

P30 DK042086/DK/NIDDK NIH HHS/United States