Risk Stratification and Prediction of Postoperative Complications Using Temperature Trajectories

dc.contributor.author Padman, Rema
dc.contributor.author Grant, Jennifer
dc.contributor.author Ravichandran, Urmila
dc.contributor.author Bashyal, Ravi
dc.contributor.author Shah, Nirav
dc.date.accessioned 2021-12-24T17:51:28Z
dc.date.available 2021-12-24T17:51:28Z
dc.date.issued 2022-01-04
dc.description.abstract Early identification of patients at highest risk of postoperative complications can facilitate appropriate diagnostic work-ups and earlier interventions. We investigate whether postoperative temperature trajectories can stratify patients and predict this risk via a retrospective study of 5,084 adult patients undergoing elective primary total knee arthroplasty at a major health system. Demographics, surgery duration, temperature readings, length of stay, comorbidities and complications were extracted from the data warehouse. Group-based trajectory modeling was applied to cluster patients into distinct groups following similar progression of maximum temperature over four-hour time intervals until discharge, and group information was included in predicting risk of critical complications. Three non-overlapping, temperature-based trajectories were identified as high- (8% of patients), medium- (49%), and low-risk (43%) groups. Complication rates were significantly higher in the high-risk group (16.7%), than the medium-risk (5.4%), and the low-risk groups (2.70%) (p<0.01). Group information shows promise in improving complication risk prediction for high-risk patients.
dc.format.extent 9 pages
dc.identifier.doi 10.24251/HICSS.2022.445
dc.identifier.isbn 978-0-9981331-5-7
dc.identifier.uri http://hdl.handle.net/10125/79781
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Big Data on Healthcare Application
dc.subject complications prediction
dc.subject early warning system
dc.subject group-based trajectory modeling
dc.subject post-surgical patient care
dc.subject temperature trajectory
dc.title Risk Stratification and Prediction of Postoperative Complications Using Temperature Trajectories
dc.type.dcmi text
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
0359.pdf
Size:
665.27 KB
Format:
Adobe Portable Document Format
Description: