Neighbors-based prediction of physical function after total knee arthroplasty

Abstract The purpose of this study was to develop and test personalized predictions for functional recovery after Total Knee Arthroplasty (TKA) surgery, using a novel neighbors-based prediction approach. We used data from 397 patients with TKA to develop the prediction methodology and then tested th...

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Autores principales:	Chong Kim, Kathryn L. Colborn, Stef van Buuren, Timothy Loar, Jennifer E. Stevens-Lapsley, Andrew J. Kittelson
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4ff268f5fb474ddb87912ca46cc34b1e
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spelling	oai:doaj.org-article:4ff268f5fb474ddb87912ca46cc34b1e2021-12-02T17:08:35ZNeighbors-based prediction of physical function after total knee arthroplasty10.1038/s41598-021-94838-62045-2322https://doaj.org/article/4ff268f5fb474ddb87912ca46cc34b1e2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94838-6https://doaj.org/toc/2045-2322Abstract The purpose of this study was to develop and test personalized predictions for functional recovery after Total Knee Arthroplasty (TKA) surgery, using a novel neighbors-based prediction approach. We used data from 397 patients with TKA to develop the prediction methodology and then tested the predictions in a temporally distinct sample of 202 patients. The Timed Up and Go (TUG) Test was used to assess physical function. Neighbors-based predictions were generated by estimating an index patient’s prognosis from the observed recovery data of previous similar patients (a.k.a., the index patient’s “matches”). Matches were determined by an adaptation of predictive mean matching. Matching characteristics included preoperative TUG time, age, sex and Body Mass Index. The optimal number of matches was determined to be m = 35, based on low bias (− 0.005 standard deviations), accurate coverage (50% of the realized observations within the 50% prediction interval), and acceptable precision (the average width of the 50% prediction interval was 2.33 s). Predictions were well-calibrated in out-of-sample testing. These predictions have the potential to inform care decisions both prior to and following TKA surgery.Chong KimKathryn L. ColbornStef van BuurenTimothy LoarJennifer E. Stevens-LapsleyAndrew J. KittelsonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chong Kim Kathryn L. Colborn Stef van Buuren Timothy Loar Jennifer E. Stevens-Lapsley Andrew J. Kittelson Neighbors-based prediction of physical function after total knee arthroplasty
description	Abstract The purpose of this study was to develop and test personalized predictions for functional recovery after Total Knee Arthroplasty (TKA) surgery, using a novel neighbors-based prediction approach. We used data from 397 patients with TKA to develop the prediction methodology and then tested the predictions in a temporally distinct sample of 202 patients. The Timed Up and Go (TUG) Test was used to assess physical function. Neighbors-based predictions were generated by estimating an index patient’s prognosis from the observed recovery data of previous similar patients (a.k.a., the index patient’s “matches”). Matches were determined by an adaptation of predictive mean matching. Matching characteristics included preoperative TUG time, age, sex and Body Mass Index. The optimal number of matches was determined to be m = 35, based on low bias (− 0.005 standard deviations), accurate coverage (50% of the realized observations within the 50% prediction interval), and acceptable precision (the average width of the 50% prediction interval was 2.33 s). Predictions were well-calibrated in out-of-sample testing. These predictions have the potential to inform care decisions both prior to and following TKA surgery.
format	article
author	Chong Kim Kathryn L. Colborn Stef van Buuren Timothy Loar Jennifer E. Stevens-Lapsley Andrew J. Kittelson
author_facet	Chong Kim Kathryn L. Colborn Stef van Buuren Timothy Loar Jennifer E. Stevens-Lapsley Andrew J. Kittelson
author_sort	Chong Kim
title	Neighbors-based prediction of physical function after total knee arthroplasty
title_short	Neighbors-based prediction of physical function after total knee arthroplasty
title_full	Neighbors-based prediction of physical function after total knee arthroplasty
title_fullStr	Neighbors-based prediction of physical function after total knee arthroplasty
title_full_unstemmed	Neighbors-based prediction of physical function after total knee arthroplasty
title_sort	neighbors-based prediction of physical function after total knee arthroplasty
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4ff268f5fb474ddb87912ca46cc34b1e
work_keys_str_mv	AT chongkim neighborsbasedpredictionofphysicalfunctionaftertotalkneearthroplasty AT kathrynlcolborn neighborsbasedpredictionofphysicalfunctionaftertotalkneearthroplasty AT stefvanbuuren neighborsbasedpredictionofphysicalfunctionaftertotalkneearthroplasty AT timothyloar neighborsbasedpredictionofphysicalfunctionaftertotalkneearthroplasty AT jenniferestevenslapsley neighborsbasedpredictionofphysicalfunctionaftertotalkneearthroplasty AT andrewjkittelson neighborsbasedpredictionofphysicalfunctionaftertotalkneearthroplasty
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Neighbors-based prediction of physical function after total knee arthroplasty

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