Title of article :
Validation of Activity Tracking Procedures in Elderly Patients after Operative Treatment of Proximal Femur Fractures
Author/Authors :
Lauritsen, Jens Department of Orthopaedics and Traumatology- Odense University Hospital, Denmark , Schmal , Hagen Department of Orthopaedics and Traumatology- Odense University Hospital, Denmark , Holsgaard-Larsen, Anders Department of Orthopaedics and Traumatology- Odense University Hospital, Denmark , Madsen, Carsten Fladmose Department of Orthopaedics and Traumatology- Odense University Hospital, Denmark , Izadpanah, Kaywan Department of Orthopedics and Trauma Surgery - Medical Center-Albert-Ludwigs-University of Freiburg - Faculty of Medicine - Albert-Ludwigs-University of Freiburg, Germany , Brønd, Jan Christian University of Southern Denmark, Denmark
Pages :
10
From page :
1
To page :
10
Abstract :
Early postoperative physical activity in elderly patients suffering from proximal femoral fractures may reduce mortality. We hypothesized that activity trackers can reliably and objectively monitor the in-hospital mobilization, correlating with functional independence and quality of life. Methods. Three different tracker types (Fitbitflex, MisfitShine, and Axivity AX3) at three locations (wrist, ankle, and femur) recorded steps and signal vector magnitudes (SVM) in 22 patients. They were 81±8years old, were equally distributed between the sexes, and had an ASA score of 2.5±0.6. Single protocoled activity events ( 𝑛=191) were clinically categorized into 4 levels and correlated with the monitored signals. Additionally, 2±1and 8±3days after the operation, the EuroQol-5D and the Barthel-20 index supplemented this data. Results. All measurements at the wrist (Fitbit, Misfit) resulted in unacceptable accuracy; however, sensitivity and specificity reached around 90% using the Misfit at the ankle. Applying this combination, the correlation between real and measured steps (𝑅2= 0.99) and the category discrimination were statistically significant (𝑝<0.002). A discriminant analysis featured the calculation of four activity levels based on SVM measurements using the Axivity tracker at the femur. A cluster analysis showed a 100% agreement between the clinically observed and the calculated activity levels. The amount of active minutes or periods and both the EuroQol-5D and the Barthel-20 indices significantly increased between the analyzed time points after the operation. However, only the Barthel-20 was associated with the measured activity levels (𝑝<0.01). Conclusion. The Misfit and the Axivity trackers can reliably monitor activity in elderly patients after operative treatment of proximal femur fractures. However, the wear location is decisive. Objectively measured activity correlated with functional independence and quality of life.
Keywords :
Validation , Activity Tracking Procedures , Elderly Patients , Operative Treatment , Proximal Femur Fractures
Journal title :
Rehabilitation Research and Practice
Serial Year :
2018
Full Text URL :
Record number :
2615289
Link To Document :
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