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Demographic data is more predictive of component size than digital radiographic templating in total knee arthroplasty
BACKGROUND: Preoperative radiographic templating for total knee arthroplasty (TKA) has been shown to be inaccurate. Patient demographic data, such as gender, height, weight, age, and race, may be more predictive of implanted component size in TKA. MATERIALS AND METHODS: A multivariate linear regress...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7682037/ https://www.ncbi.nlm.nih.gov/pubmed/33225974 http://dx.doi.org/10.1186/s43019-020-00075-y |
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author | Wallace, Stephen J. Murphy, Michael P. Schiffman, Corey J. Hopkinson, William J. Brown, Nicholas M. |
author_facet | Wallace, Stephen J. Murphy, Michael P. Schiffman, Corey J. Hopkinson, William J. Brown, Nicholas M. |
author_sort | Wallace, Stephen J. |
collection | PubMed |
description | BACKGROUND: Preoperative radiographic templating for total knee arthroplasty (TKA) has been shown to be inaccurate. Patient demographic data, such as gender, height, weight, age, and race, may be more predictive of implanted component size in TKA. MATERIALS AND METHODS: A multivariate linear regression model was designed to predict implanted femoral and tibial component size using demographic data along a consecutive series of 201 patients undergoing index TKA. Traditional, two-dimensional, radiographic templating was compared to demographic-based regression predictions on a prospective 181 consecutive patients undergoing index TKA in their ability to accurately predict intraoperative implanted sizes. Surgeons were blinded of any predictions. RESULTS: Patient gender, height, weight, age, and ethnicity/race were predictive of implanted TKA component size. The regression model more accurately predicted implanted component size compared to radiographically templated sizes for both the femoral (P = 0.04) and tibial (P < 0.01) components. The regression model exactly predicted femoral and tibial component sizes in 43.7 and 43.7% of cases, was within one size 90.1 and 95.6% of the time, and was within two sizes in every case. Radiographic templating exactly predicted 35.4 and 36.5% of cases, was within one size 86.2 and 85.1% of the time, and varied up to four sizes for both the femoral and tibial components. The regression model averaged within 0.66 and 0.61 sizes, versus 0.81 and 0.81 sizes for radiographic templating for femoral and tibial components. CONCLUSIONS: A demographic-based regression model was created based on patient-specific demographic data to predict femoral and tibial TKA component sizes. In a prospective patient series, the regression model more accurately and precisely predicted implanted component sizes compared to radiographic templating. LEVEL OF EVIDENCE: Prospective cohort, level II. |
format | Online Article Text |
id | pubmed-7682037 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76820372020-11-30 Demographic data is more predictive of component size than digital radiographic templating in total knee arthroplasty Wallace, Stephen J. Murphy, Michael P. Schiffman, Corey J. Hopkinson, William J. Brown, Nicholas M. Knee Surg Relat Res Research Article BACKGROUND: Preoperative radiographic templating for total knee arthroplasty (TKA) has been shown to be inaccurate. Patient demographic data, such as gender, height, weight, age, and race, may be more predictive of implanted component size in TKA. MATERIALS AND METHODS: A multivariate linear regression model was designed to predict implanted femoral and tibial component size using demographic data along a consecutive series of 201 patients undergoing index TKA. Traditional, two-dimensional, radiographic templating was compared to demographic-based regression predictions on a prospective 181 consecutive patients undergoing index TKA in their ability to accurately predict intraoperative implanted sizes. Surgeons were blinded of any predictions. RESULTS: Patient gender, height, weight, age, and ethnicity/race were predictive of implanted TKA component size. The regression model more accurately predicted implanted component size compared to radiographically templated sizes for both the femoral (P = 0.04) and tibial (P < 0.01) components. The regression model exactly predicted femoral and tibial component sizes in 43.7 and 43.7% of cases, was within one size 90.1 and 95.6% of the time, and was within two sizes in every case. Radiographic templating exactly predicted 35.4 and 36.5% of cases, was within one size 86.2 and 85.1% of the time, and varied up to four sizes for both the femoral and tibial components. The regression model averaged within 0.66 and 0.61 sizes, versus 0.81 and 0.81 sizes for radiographic templating for femoral and tibial components. CONCLUSIONS: A demographic-based regression model was created based on patient-specific demographic data to predict femoral and tibial TKA component sizes. In a prospective patient series, the regression model more accurately and precisely predicted implanted component sizes compared to radiographic templating. LEVEL OF EVIDENCE: Prospective cohort, level II. BioMed Central 2020-11-23 /pmc/articles/PMC7682037/ /pubmed/33225974 http://dx.doi.org/10.1186/s43019-020-00075-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Wallace, Stephen J. Murphy, Michael P. Schiffman, Corey J. Hopkinson, William J. Brown, Nicholas M. Demographic data is more predictive of component size than digital radiographic templating in total knee arthroplasty |
title | Demographic data is more predictive of component size than digital radiographic templating in total knee arthroplasty |
title_full | Demographic data is more predictive of component size than digital radiographic templating in total knee arthroplasty |
title_fullStr | Demographic data is more predictive of component size than digital radiographic templating in total knee arthroplasty |
title_full_unstemmed | Demographic data is more predictive of component size than digital radiographic templating in total knee arthroplasty |
title_short | Demographic data is more predictive of component size than digital radiographic templating in total knee arthroplasty |
title_sort | demographic data is more predictive of component size than digital radiographic templating in total knee arthroplasty |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7682037/ https://www.ncbi.nlm.nih.gov/pubmed/33225974 http://dx.doi.org/10.1186/s43019-020-00075-y |
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