Pub Date : 2025-11-21DOI: 10.1302/2633-1462.611.BJO-2025-0138.R1
M Abdulhadi Alagha, Justin P Cobb, Alexander D Liddle, Henrik Malchau, Maziar Mohaddes, Ola Rolfson
Aims: Pain and poor health-related quality of life measures serve as the primary indication for primary elective total hip arthroplasty (THA). It remains challenging to predict whether THA delivers the patient-anticipated improvements. Our study aimed to develop and validate statistical and machine learning prediction models of one-year clinical improvement in patient-reported outcome measures (PROMs) after elective THA.
Methods: We included 82,526 patients with primary elective THAs from the Swedish Arthroplasty Register (SAR) for forecasting one-year improvements in the EuroQol five-dimension questionnaire (EQ-5D) index, EQ-visual analogue scale (VAS), and combined EQ-5D/EQ-VAS scores. Two minimal clinically important difference (MCID) thresholds were applied for the EQ-5D index score based on the approaches of standardized response mean (SRM) of 0.196 and capacity of benefit (CoB) of 0.428. MCID cutoff for the EQ-VAS was set to 7.81. A total of 21 features were used to feed the models. To avoid estimates bias, we eliminated missing data. Model performance was tested using the area under the receiver operating characteristic curve (AUC), and importance of features was identified in the best performing algorithm.
Results: Applying the SRM MCID, approximately two-thirds of patients reported one-year improvements in EQ-5D index (66.3%) and EQ-VAS (69.1%). The improvement rate decreased to 51.7% when we combined improvements in both outcomes. A higher CoB cut-off for EQ-5D index yielded lower rates (~40% for the EQ-5D index and 31.3% for the combined measure). The gradient boosting machine (GBM) consistently outperformed other models by a narrow margin in predicting significant clinical improvements in one-year PROMs and achieved a good to excellent binary discriminative power (AUC range 0.80% to 0.97%). Preoperative PROMs, EQ-5D index, EQ-VAS, and Charnley Hip Score, along with age, collectively contributed to over 80% of the algorithmic power in the ensemble GBM model.
Conclusion: We developed an interpretable machine learning model on a Swedish cohort that may facilitate personalized assessment of meaningful clinical improvement after elective THA.
{"title":"Prediction of quality-of-life improvement after total hip arthroplasty : a simplified and internally validated model based on 82,526 total hip arthroplasties from the Swedish Arthroplasty Register.","authors":"M Abdulhadi Alagha, Justin P Cobb, Alexander D Liddle, Henrik Malchau, Maziar Mohaddes, Ola Rolfson","doi":"10.1302/2633-1462.611.BJO-2025-0138.R1","DOIUrl":"10.1302/2633-1462.611.BJO-2025-0138.R1","url":null,"abstract":"<p><strong>Aims: </strong>Pain and poor health-related quality of life measures serve as the primary indication for primary elective total hip arthroplasty (THA). It remains challenging to predict whether THA delivers the patient-anticipated improvements. Our study aimed to develop and validate statistical and machine learning prediction models of one-year clinical improvement in patient-reported outcome measures (PROMs) after elective THA.</p><p><strong>Methods: </strong>We included 82,526 patients with primary elective THAs from the Swedish Arthroplasty Register (SAR) for forecasting one-year improvements in the EuroQol five-dimension questionnaire (EQ-5D) index, EQ-visual analogue scale (VAS), and combined EQ-5D/EQ-VAS scores. Two minimal clinically important difference (MCID) thresholds were applied for the EQ-5D index score based on the approaches of standardized response mean (SRM) of 0.196 and capacity of benefit (CoB) of 0.428. MCID cutoff for the EQ-VAS was set to 7.81. A total of 21 features were used to feed the models. To avoid estimates bias, we eliminated missing data. Model performance was tested using the area under the receiver operating characteristic curve (AUC), and importance of features was identified in the best performing algorithm.</p><p><strong>Results: </strong>Applying the SRM MCID, approximately two-thirds of patients reported one-year improvements in EQ-5D index (66.3%) and EQ-VAS (69.1%). The improvement rate decreased to 51.7% when we combined improvements in both outcomes. A higher CoB cut-off for EQ-5D index yielded lower rates (~40% for the EQ-5D index and 31.3% for the combined measure). The gradient boosting machine (GBM) consistently outperformed other models by a narrow margin in predicting significant clinical improvements in one-year PROMs and achieved a good to excellent binary discriminative power (AUC range 0.80% to 0.97%). Preoperative PROMs, EQ-5D index, EQ-VAS, and Charnley Hip Score, along with age, collectively contributed to over 80% of the algorithmic power in the ensemble GBM model.</p><p><strong>Conclusion: </strong>We developed an interpretable machine learning model on a Swedish cohort that may facilitate personalized assessment of meaningful clinical improvement after elective THA.</p>","PeriodicalId":34103,"journal":{"name":"Bone & Joint Open","volume":"6 11","pages":"1504-1514"},"PeriodicalIF":3.1,"publicationDate":"2025-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12634151/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145565601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-20DOI: 10.1302/2633-1462.611.BJO-2025-0114.R2
Zeeshan Khan, Zainab Aqeel Khan, Tomas Zamora, Ashish Gulia, Santiago A Lozano-Calderon, Vineet J Kurisunkal, Lee M Jeys, Minna K Laitinen, Santiago Abad Repiso, Hesham Abdelbary, Alejandro Abiad Mejia, Ahmed A Abood, Ghaith Abou-Nouar, Juan C Abril Martin, Ayman Abu Elhamd, Adesegun Abudu, Marthelena Acosta, Keisuke Ae, Manish Agarwal, Vivek Ajit Singh, Toru Akiyama, Jose I Albergo, John Alexander, Patricio A Alfaro, Bugra Alpan, Ibrahim Alshaygy, Jose Amaya-Valero, Megan Anderson, Dimosthenis Andreou, Lucas Annabell, Christopher Anthony, Ahmed Aoude, Iraia Arteagoitia-Colino, Apichat Asavamongkolkul, William Aston, Libe Asua Mentxaka, Christine Azzopardi, Thomas Baad-Hansen, Ismail T Badr, Francisco Baixauli-Garcia, Gavin Baker, Tessa Balach, Giacomo G Baldi, Janie Barry, Georges Basile, Stefano Bastoni, Mohammad Hardian Basuki, Henrik Bauer, Lee Bayliss, Ricardo G Becker, Angad Bedi, Joseph Benevenia, Francisco Bengoa, Peter Bergh, Marko Bergovec, Nicholas Bernthal, Odion Binitie, David Boddie, Michele Boffano, Patricia Bonilla Huertas, Anna B Borgognoni, Rajesh Botchu, Jos Bramer, Harriet Branford-White, Rahat Brar, Demien Broekhuis, Samuel E Broida, Tymoteusz Budny, Zachary Dc Burke, Jorge Cabrolier, Jorge R Calvo Tapies, Jose A Calvo-Haro, Dominico Campanacci, Rodrigo Cardoso, Richard Carey Smith, Pedro I Carvallo, Nicolas Casales Fresenga, Jose Manuel Casanova, Oscar Ceballos, Juan Luis Cebrian Parra, Laura K Certain, Sara Chacon Cartaya, Chung Ming Chan, Yoon Joo Cho, Peter Choong, Yang-Guk Chung, Dawid Ciechanowicz, Miguel Angel Clara-Altamirano, David Clever, Sebastian Matheo Colina, Luis Consuegra, Cory Couch, Gillian Cribb, Carlos Cuervo, Laurence A Cusick, Solomon Dadia, Tanios Dagher, Dietmar Dammerer, Mark Davies, Nerys Davies, Luis Pablo de la Rosa Martino, Francisco Javier de Santos de la Fuente, Marieke de Vaal, Claudia Deckers, Javier Delgado Obando, Shaneel Deo, Niklas Deventer, Claudia Di Bella, Gregory Domson, Davide Maria Donati, Desiree M Dorleijn, Jacques Du Toit, Debra Dunne, Rodolfo Duran Ciarrochi, Elina Ekman, Ahmed M El Ghoneimy, Makoto Endo, Levent Eralp, Mahmoud Etaiwi, Scott Evans, Robin Evrard, Will Eward, Alberto Farese, Peter C Ferguson, Pedro Filipe Ferreira Cardoso, Fabrice Fiorenza, Michael Flint, Hector Flores, Joao Freitas, Bruno Fuchs, Tomohiro Fujiwara, Philipp T Funovics, Marcos Galli Serra, Zakareya Gamie, Carlos Garces-Zarzalejo, Aaron Gazendam, Carsten Gebert, Jasper G Gerbers, Craig Gerrand, Michelle Ghert, Kanishka M Ghosh, Max Gibbons, Anne Gomez-Mascard, Luis Carlos Gomez-Mier, Jesus Gomez-Vallejo, Marcos R Gonzalez, Fausto Gonzalez-Lizan, Georg Gosheger, Stuart Goudie, Krista Goulding, Stavros D Goumenos, Anthony Griffin, Ashish Gulia, Sanjay Gupta, Amit Gupta, Maurice Guzman, Mohammed Haitham, Jendrik Hardes, Francisco Hardoy, Yusuf Hasan, Georg Hauer, Helard Havard, Rex Haydon, John Healey, Nerea Hernandez Gonzalez, Adriana Hernandez-Lopez, Asle Hesla, Matthew Hess, Thomas Hilton, Chindanai Hongsaprabhas, Francis Hornicek, Keith Hosking, Eleanor Houghton, Oluwaseyi K Idowu, Joseph Ippolito, Marc Isler, Shintaro Iwata, Jake Jagiello, Neil Jenkins, Tom Jeys, Charlotte Jeys, Luke Johnson, Andy Johnston, Min Wook Joo, Paul C Jutte, Kadri Kaldas, Amar Kamat, Sudhir Kannan, Bilal Kapanci, Zeeshan Khan, Hiroshi Kobayashi, Yehuda Kollender, Sebastian Koob, Daniel Kotrych, Richard Kyte, Jose Maria Lamo de Espinosa Vazquez de Sola, Alexander L Lazarides, Louis-Romee Le Nail, Pawel Legosz, Burkhard Lehner, Andreas Leithner, Maryse Lejoly, Valerae O Lewis, Peng Lin, Francisco Linares, Santiago Lozano-Calderon, Ashish Mahendra, Ferdiansyah Mahyudin, Fermin Julian Mandia Mancebo, Sara Martos Torrejon, Christian Marx, Eric Mascard, Jean-Camille Mattei, Louise McCullough, Sam McMahon, Manuel Ricardo Medellin Rincon, Benjamin Miller, Shinji Miwa, Gustavo Molina Uribe, Bryan Moon, Diego Jesus Moriel Garcesco, Carol Morris, Stewart Morrison, Sophie Mottard, Marcio Moura, Linde Muster, Robert Nakayama, Prashant Narhari, Ana Navas, Prakash Nayak, Johannes Neugebauer, Erik T Newman, Jyrki Nieminen, Emmy Nyqvist, Lukas Nystrom, Sarah O'Reilly-Harbidge, Gary O'Toole, Vania Oliveira, André Olivier, Mohamed Omar, Eduardo J Ortiz-Cruz, Harzem Ozger, Korhan Ozkan, Elisa Pala, Emanuela Palmerini, Grant Pang, Panayiotis Papagelopoulos, Giovanni Paraliticci, Michael C Parry, Sam Patton, David Peake, Ana Peiro Ibanez, Israel Perez Munoz, Ganapathy Raman Perianayagam, Michael Mork Petersen, Joris Ploegmakers, Robin Pollock, Gerard Powell, Juan Pretell, Jan Puetzler, Faisal Qamar, Anand Raja, Raja Bhaskara Rajasekaran, Dipak B Ramkumar, R Lor Randall, Kenneth S Rankin, Kevin A Raskin, Kumaran Rassppan, Lauris Repsa, Mickael Ropars, Peter Rose, Wael Sadek, German Salcedo, Aasim Saleemi, Andrea Sambri, Hartej Sar, Roberto Scanferla, Thomas Schubert, Jan Schwarze, Guido Scoccianti, Ashley Scrimshire, Tetsuya Sekita, Ahmad Shehadeh, Ahmed Shoaib, Bhim Shreemal, Felix Shumelinsky, Geoffrey Siegel, Claudio Silveri, Robert Silverwood, Friedl Sinnaeve, Jerome Sison, Andrea Slade, Maria Anna Smolle, Franz Snyman, Scott Sommerville, Sahil Sood, Andre Spiguel, Hugo St-Yves, Eric L Staals, Silvia Stacchiotti, Nikolaos Stavropoulos, Peter Steadman, Jonathan D Stevenson, Mikaela Sullivan, Gwen Sys, Bartlomiej Szostakowski, Angela Tamburini, Yuta Taniguchi, Thomas Temple, Christoph Theil, Joachim Thorkildsen, Meagan Tibbo, Roger Tillman, Yu Toda, Kaspar Tootsi, Ferran Torner Rubies, Frank Traub, Ioannis Trikoupis, Panagiotis Tsagkozis, Kim Tsoi, Hiroyuki Tsuchiya, Veli-Matti Vainio, Antonio Valcarcel, Juan Valencia, Annelies Van Beeck, Michel Van de Sande, Thomas Van Den Berghe, Ingrid Van der Geest, Lizz Van der Heijden, Robert Van der Wal, Kirsten Van Langevelde, Gualter Vaz, Roberto Velez Villa, Floortje Verspoor, Koenraad Verstraete, Julia Visgauss, Oleg Vyrva, Hazem Wafa, Sebastian Walter, Wan Faisham Wan Ismail, Edward Wang, Patrick Qi Wang, David Warnock, Joel Werier, Wolfram Weschenfelder, Kwok-Chuen Wong, Marjan Woulthuyzen-Bakker, Jay Wunder, Indica Wysinghe, Norio Yamamoto, Zhaoming Ye, Seung-Jae Yoon, Suraya Zainul Abidin, Tomas Zamora, Pierluca Zecchetto, Liuzhe Zhang, Juan Pablo Zumarraga, Eduardo Botello, Richard A Boyle, Walid Ebeid, Matthew T Houdek, Guy Morris, Ajay Puri, Pietro Ruggieri
Aims: Following resection of a primary bone tumour, reconstruction is commonly performed using either a megaprosthesis or biological reconstruction. Periprosthetic joint infection (PJI) remains one of the most frequent complications. Various treatment strategies exist for PJI, including debridement, antibiotics, and implant retention (DAIR), and single- and two-stage revision, although consensus on optimal management remains elusive. This study aimed to investigate the global practices regarding DAIR in tumour cases through an electronic survey among orthopaedic oncology surgeons.
Methods: A global cross-sectional observational survey study was distributed to 272 orthopaedic oncology surgeons who attended the BOOM Consensus Meeting in January 2024. The survey contained 19 multiple choice questions focusing on DAIR practices. Responses were collected anonymously and analyzed using descriptive statistics.
Results: The survey was completed by 173/272 surgeons (64%) from 44 countries. While 62% (169/272) routinely performed radical soft-tissue debridement in DAIR, only 39% exchanged all modular components, indicating variability in surgical approaches. DAIR was more commonly performed in acute rather than chronic infections, with 55% finding it very useful in acute cases. The use of local antibiotic delivery was supported by 56%, although only 49% found antibiotic cement coatings beneficial. Systemic antibiotic duration post-DAIR varied, with 39% favouring six weeks and 35% preferring three months.
Conclusion: The study highlights global inconsistencies in DAIR practices for PJI in orthopaedic oncology, with financial disparities impacting modular component exchange. Standardized definitions are lacking, and we propose that if only polyethylene is changed, then the procedure is referred to as 'poly exchange'; we recommend defining the procedure as DAIR when extensive debridement, lavage, and removal, wash, and reimplanting of all modular components is done while retaining stable stems, followed by suppressive antibiotic therapy; and finally, we recommend that if all the modular components are changed for new ones, the procedure is referred to as 'DAIR plus'.
{"title":"What is debridement, antibiotics, and implant retention in orthopaedic oncology? : a global cross-sectional survey of surgeons' practices and opinions.","authors":"Zeeshan Khan, Zainab Aqeel Khan, Tomas Zamora, Ashish Gulia, Santiago A Lozano-Calderon, Vineet J Kurisunkal, Lee M Jeys, Minna K Laitinen, Santiago Abad Repiso, Hesham Abdelbary, Alejandro Abiad Mejia, Ahmed A Abood, Ghaith Abou-Nouar, Juan C Abril Martin, Ayman Abu Elhamd, Adesegun Abudu, Marthelena Acosta, Keisuke Ae, Manish Agarwal, Vivek Ajit Singh, Toru Akiyama, Jose I Albergo, John Alexander, Patricio A Alfaro, Bugra Alpan, Ibrahim Alshaygy, Jose Amaya-Valero, Megan Anderson, Dimosthenis Andreou, Lucas Annabell, Christopher Anthony, Ahmed Aoude, Iraia Arteagoitia-Colino, Apichat Asavamongkolkul, William Aston, Libe Asua Mentxaka, Christine Azzopardi, Thomas Baad-Hansen, Ismail T Badr, Francisco Baixauli-Garcia, Gavin Baker, Tessa Balach, Giacomo G Baldi, Janie Barry, Georges Basile, Stefano Bastoni, Mohammad Hardian Basuki, Henrik Bauer, Lee Bayliss, Ricardo G Becker, Angad Bedi, Joseph Benevenia, Francisco Bengoa, Peter Bergh, Marko Bergovec, Nicholas Bernthal, Odion Binitie, David Boddie, Michele Boffano, Patricia Bonilla Huertas, Anna B Borgognoni, Rajesh Botchu, Jos Bramer, Harriet Branford-White, Rahat Brar, Demien Broekhuis, Samuel E Broida, Tymoteusz Budny, Zachary Dc Burke, Jorge Cabrolier, Jorge R Calvo Tapies, Jose A Calvo-Haro, Dominico Campanacci, Rodrigo Cardoso, Richard Carey Smith, Pedro I Carvallo, Nicolas Casales Fresenga, Jose Manuel Casanova, Oscar Ceballos, Juan Luis Cebrian Parra, Laura K Certain, Sara Chacon Cartaya, Chung Ming Chan, Yoon Joo Cho, Peter Choong, Yang-Guk Chung, Dawid Ciechanowicz, Miguel Angel Clara-Altamirano, David Clever, Sebastian Matheo Colina, Luis Consuegra, Cory Couch, Gillian Cribb, Carlos Cuervo, Laurence A Cusick, Solomon Dadia, Tanios Dagher, Dietmar Dammerer, Mark Davies, Nerys Davies, Luis Pablo de la Rosa Martino, Francisco Javier de Santos de la Fuente, Marieke de Vaal, Claudia Deckers, Javier Delgado Obando, Shaneel Deo, Niklas Deventer, Claudia Di Bella, Gregory Domson, Davide Maria Donati, Desiree M Dorleijn, Jacques Du Toit, Debra Dunne, Rodolfo Duran Ciarrochi, Elina Ekman, Ahmed M El Ghoneimy, Makoto Endo, Levent Eralp, Mahmoud Etaiwi, Scott Evans, Robin Evrard, Will Eward, Alberto Farese, Peter C Ferguson, Pedro Filipe Ferreira Cardoso, Fabrice Fiorenza, Michael Flint, Hector Flores, Joao Freitas, Bruno Fuchs, Tomohiro Fujiwara, Philipp T Funovics, Marcos Galli Serra, Zakareya Gamie, Carlos Garces-Zarzalejo, Aaron Gazendam, Carsten Gebert, Jasper G Gerbers, Craig Gerrand, Michelle Ghert, Kanishka M Ghosh, Max Gibbons, Anne Gomez-Mascard, Luis Carlos Gomez-Mier, Jesus Gomez-Vallejo, Marcos R Gonzalez, Fausto Gonzalez-Lizan, Georg Gosheger, Stuart Goudie, Krista Goulding, Stavros D Goumenos, Anthony Griffin, Ashish Gulia, Sanjay Gupta, Amit Gupta, Maurice Guzman, Mohammed Haitham, Jendrik Hardes, Francisco Hardoy, Yusuf Hasan, Georg Hauer, Helard Havard, Rex Haydon, John Healey, Nerea Hernandez Gonzalez, Adriana Hernandez-Lopez, Asle Hesla, Matthew Hess, Thomas Hilton, Chindanai Hongsaprabhas, Francis Hornicek, Keith Hosking, Eleanor Houghton, Oluwaseyi K Idowu, Joseph Ippolito, Marc Isler, Shintaro Iwata, Jake Jagiello, Neil Jenkins, Tom Jeys, Charlotte Jeys, Luke Johnson, Andy Johnston, Min Wook Joo, Paul C Jutte, Kadri Kaldas, Amar Kamat, Sudhir Kannan, Bilal Kapanci, Zeeshan Khan, Hiroshi Kobayashi, Yehuda Kollender, Sebastian Koob, Daniel Kotrych, Richard Kyte, Jose Maria Lamo de Espinosa Vazquez de Sola, Alexander L Lazarides, Louis-Romee Le Nail, Pawel Legosz, Burkhard Lehner, Andreas Leithner, Maryse Lejoly, Valerae O Lewis, Peng Lin, Francisco Linares, Santiago Lozano-Calderon, Ashish Mahendra, Ferdiansyah Mahyudin, Fermin Julian Mandia Mancebo, Sara Martos Torrejon, Christian Marx, Eric Mascard, Jean-Camille Mattei, Louise McCullough, Sam McMahon, Manuel Ricardo Medellin Rincon, Benjamin Miller, Shinji Miwa, Gustavo Molina Uribe, Bryan Moon, Diego Jesus Moriel Garcesco, Carol Morris, Stewart Morrison, Sophie Mottard, Marcio Moura, Linde Muster, Robert Nakayama, Prashant Narhari, Ana Navas, Prakash Nayak, Johannes Neugebauer, Erik T Newman, Jyrki Nieminen, Emmy Nyqvist, Lukas Nystrom, Sarah O'Reilly-Harbidge, Gary O'Toole, Vania Oliveira, André Olivier, Mohamed Omar, Eduardo J Ortiz-Cruz, Harzem Ozger, Korhan Ozkan, Elisa Pala, Emanuela Palmerini, Grant Pang, Panayiotis Papagelopoulos, Giovanni Paraliticci, Michael C Parry, Sam Patton, David Peake, Ana Peiro Ibanez, Israel Perez Munoz, Ganapathy Raman Perianayagam, Michael Mork Petersen, Joris Ploegmakers, Robin Pollock, Gerard Powell, Juan Pretell, Jan Puetzler, Faisal Qamar, Anand Raja, Raja Bhaskara Rajasekaran, Dipak B Ramkumar, R Lor Randall, Kenneth S Rankin, Kevin A Raskin, Kumaran Rassppan, Lauris Repsa, Mickael Ropars, Peter Rose, Wael Sadek, German Salcedo, Aasim Saleemi, Andrea Sambri, Hartej Sar, Roberto Scanferla, Thomas Schubert, Jan Schwarze, Guido Scoccianti, Ashley Scrimshire, Tetsuya Sekita, Ahmad Shehadeh, Ahmed Shoaib, Bhim Shreemal, Felix Shumelinsky, Geoffrey Siegel, Claudio Silveri, Robert Silverwood, Friedl Sinnaeve, Jerome Sison, Andrea Slade, Maria Anna Smolle, Franz Snyman, Scott Sommerville, Sahil Sood, Andre Spiguel, Hugo St-Yves, Eric L Staals, Silvia Stacchiotti, Nikolaos Stavropoulos, Peter Steadman, Jonathan D Stevenson, Mikaela Sullivan, Gwen Sys, Bartlomiej Szostakowski, Angela Tamburini, Yuta Taniguchi, Thomas Temple, Christoph Theil, Joachim Thorkildsen, Meagan Tibbo, Roger Tillman, Yu Toda, Kaspar Tootsi, Ferran Torner Rubies, Frank Traub, Ioannis Trikoupis, Panagiotis Tsagkozis, Kim Tsoi, Hiroyuki Tsuchiya, Veli-Matti Vainio, Antonio Valcarcel, Juan Valencia, Annelies Van Beeck, Michel Van de Sande, Thomas Van Den Berghe, Ingrid Van der Geest, Lizz Van der Heijden, Robert Van der Wal, Kirsten Van Langevelde, Gualter Vaz, Roberto Velez Villa, Floortje Verspoor, Koenraad Verstraete, Julia Visgauss, Oleg Vyrva, Hazem Wafa, Sebastian Walter, Wan Faisham Wan Ismail, Edward Wang, Patrick Qi Wang, David Warnock, Joel Werier, Wolfram Weschenfelder, Kwok-Chuen Wong, Marjan Woulthuyzen-Bakker, Jay Wunder, Indica Wysinghe, Norio Yamamoto, Zhaoming Ye, Seung-Jae Yoon, Suraya Zainul Abidin, Tomas Zamora, Pierluca Zecchetto, Liuzhe Zhang, Juan Pablo Zumarraga, Eduardo Botello, Richard A Boyle, Walid Ebeid, Matthew T Houdek, Guy Morris, Ajay Puri, Pietro Ruggieri","doi":"10.1302/2633-1462.611.BJO-2025-0114.R2","DOIUrl":"10.1302/2633-1462.611.BJO-2025-0114.R2","url":null,"abstract":"<p><strong>Aims: </strong>Following resection of a primary bone tumour, reconstruction is commonly performed using either a megaprosthesis or biological reconstruction. Periprosthetic joint infection (PJI) remains one of the most frequent complications. Various treatment strategies exist for PJI, including debridement, antibiotics, and implant retention (DAIR), and single- and two-stage revision, although consensus on optimal management remains elusive. This study aimed to investigate the global practices regarding DAIR in tumour cases through an electronic survey among orthopaedic oncology surgeons.</p><p><strong>Methods: </strong>A global cross-sectional observational survey study was distributed to 272 orthopaedic oncology surgeons who attended the BOOM Consensus Meeting in January 2024. The survey contained 19 multiple choice questions focusing on DAIR practices. Responses were collected anonymously and analyzed using descriptive statistics.</p><p><strong>Results: </strong>The survey was completed by 173/272 surgeons (64%) from 44 countries. While 62% (169/272) routinely performed radical soft-tissue debridement in DAIR, only 39% exchanged all modular components, indicating variability in surgical approaches. DAIR was more commonly performed in acute rather than chronic infections, with 55% finding it very useful in acute cases. The use of local antibiotic delivery was supported by 56%, although only 49% found antibiotic cement coatings beneficial. Systemic antibiotic duration post-DAIR varied, with 39% favouring six weeks and 35% preferring three months.</p><p><strong>Conclusion: </strong>The study highlights global inconsistencies in DAIR practices for PJI in orthopaedic oncology, with financial disparities impacting modular component exchange. Standardized definitions are lacking, and we propose that if only polyethylene is changed, then the procedure is referred to as 'poly exchange'; we recommend defining the procedure as DAIR when extensive debridement, lavage, and removal, wash, and reimplanting of all modular components is done while retaining stable stems, followed by suppressive antibiotic therapy; and finally, we recommend that if all the modular components are changed for new ones, the procedure is referred to as 'DAIR plus'.</p>","PeriodicalId":34103,"journal":{"name":"Bone & Joint Open","volume":"6 11","pages":"1495-1503"},"PeriodicalIF":3.1,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12629669/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145557850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-19DOI: 10.1302/2633-1462.611.BJO-2025-0117.R1
Joanna Craven, Wesley W E S Theunissen, Oliver Lane, Sara Beattie, Xavier L Griffin, Daniel C Perry
Aims: To identify or develop a patient-reported outcome measure (PROM) aligned with the family-centred core outcome set (COS) for infants with developmental dysplasia of the hip (DDH) treated in a brace.
Methods: This study was conducted in five phases: 1) identification of relevant PROMs through two systematic literature reviews; 2) assessment of identified PROMs for content validity and relevance to the COS; 3) a consensus meeting with key stakeholders, including parents and clinicians; 4) development of a novel PROM; and 5) pilot testing with parents of infants treated in a brace. PROMs were assessed according to COSMIN criteria, and development was guided by stakeholder feedback.
Results: The systematic reviews identified two relevant PROMs: the Hip Worries Inventory (HWI) and the Infant and Toddler Quality of Life Questionnaire (ITQOL). Neither tool fully aligned with the COS, nor was considered suitable for comprehensive assessment in this population. The HWI was judged to lack domain coverage and negatively framed items, whereas the ITQOL was lengthy and burdensome. A consensus meeting supported the development of a new, concise PROM. The resulting Evaluation Measure for BRACe Experience (EMBRACE) includes eight items, scored using a Likert scale, across caregiver and infant domains. Pilot testing confirmed acceptability, clarity, and relevance.
Conclusion: The EMBRACE is a concise, family-centred PROM developed to reflect the core domains that were prioritized by families and clinicians for children undergoing DDH brace treatment. It enables the impact of treatment to be captured on both infants and caregivers.
{"title":"The Evaluation Measure for BRACe Experience (EMBRACE): developing a patient-reported outcome measure for infants with hip dysplasia.","authors":"Joanna Craven, Wesley W E S Theunissen, Oliver Lane, Sara Beattie, Xavier L Griffin, Daniel C Perry","doi":"10.1302/2633-1462.611.BJO-2025-0117.R1","DOIUrl":"10.1302/2633-1462.611.BJO-2025-0117.R1","url":null,"abstract":"<p><strong>Aims: </strong>To identify or develop a patient-reported outcome measure (PROM) aligned with the family-centred core outcome set (COS) for infants with developmental dysplasia of the hip (DDH) treated in a brace.</p><p><strong>Methods: </strong>This study was conducted in five phases: 1) identification of relevant PROMs through two systematic literature reviews; 2) assessment of identified PROMs for content validity and relevance to the COS; 3) a consensus meeting with key stakeholders, including parents and clinicians; 4) development of a novel PROM; and 5) pilot testing with parents of infants treated in a brace. PROMs were assessed according to COSMIN criteria, and development was guided by stakeholder feedback.</p><p><strong>Results: </strong>The systematic reviews identified two relevant PROMs: the Hip Worries Inventory (HWI) and the Infant and Toddler Quality of Life Questionnaire (ITQOL). Neither tool fully aligned with the COS, nor was considered suitable for comprehensive assessment in this population. The HWI was judged to lack domain coverage and negatively framed items, whereas the ITQOL was lengthy and burdensome. A consensus meeting supported the development of a new, concise PROM. The resulting Evaluation Measure for BRACe Experience (EMBRACE) includes eight items, scored using a Likert scale, across caregiver and infant domains. Pilot testing confirmed acceptability, clarity, and relevance.</p><p><strong>Conclusion: </strong>The EMBRACE is a concise, family-centred PROM developed to reflect the core domains that were prioritized by families and clinicians for children undergoing DDH brace treatment. It enables the impact of treatment to be captured on both infants and caregivers.</p>","PeriodicalId":34103,"journal":{"name":"Bone & Joint Open","volume":"6 11","pages":"1487-1494"},"PeriodicalIF":3.1,"publicationDate":"2025-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12626650/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145551047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-18DOI: 10.1302/2633-1462.611.BJO-2025-0124.R1
James Masters, David Metcalfe, Matthew L Costa, Andrew Judge
Aims: To evaluate the incidence, timing, and capture of surgical site infections (SSIs) following hip fracture surgery using routinely collected primary and secondary care datasets, and to assess the limitations of using such resources to identify SSIs.
Methods: We conducted a retrospective cohort study using linked Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics (HES) data from 1999 to 2013. Patients with a hip fracture were identified and compared with age- and sex-matched controls. SSIs were defined using diagnostic codes and categorized as 'definite' or 'possible'. Timing of diagnosis was evaluated, and risk factors for developing infection assessed, using Cox regression.
Results: Among 13,920 hip fracture patients, 192 developed definite a SSI (n = 192, 2.4%) or possible SSIs (n = 15, 0.1%). Most infections were recorded in CPRD, with limited overlap between CPRD and HES. Median time to diagnosis was 130 days, with 43% of cases identified more than 90 days postoperatively. Charlson Comorbidity Index ≥ 3 was significantly associated with increased risk. Reoperation for infection occurred in 1.2% of cases (n = 37).
Conclusion: Routinely coded data sources likely under-capture SSIs after hip fracture surgery. Poor agreement between primary and secondary care records, combined with delayed identification, limits the utility of routinely collected administrative datasets to accurately identify postoperative infection.
{"title":"Capturing surgical site infection after hip fracture surgery : insights from linked routine data.","authors":"James Masters, David Metcalfe, Matthew L Costa, Andrew Judge","doi":"10.1302/2633-1462.611.BJO-2025-0124.R1","DOIUrl":"10.1302/2633-1462.611.BJO-2025-0124.R1","url":null,"abstract":"<p><strong>Aims: </strong>To evaluate the incidence, timing, and capture of surgical site infections (SSIs) following hip fracture surgery using routinely collected primary and secondary care datasets, and to assess the limitations of using such resources to identify SSIs.</p><p><strong>Methods: </strong>We conducted a retrospective cohort study using linked Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics (HES) data from 1999 to 2013. Patients with a hip fracture were identified and compared with age- and sex-matched controls. SSIs were defined using diagnostic codes and categorized as 'definite' or 'possible'. Timing of diagnosis was evaluated, and risk factors for developing infection assessed, using Cox regression.</p><p><strong>Results: </strong>Among 13,920 hip fracture patients, 192 developed definite a SSI (n = 192, 2.4%) or possible SSIs (n = 15, 0.1%). Most infections were recorded in CPRD, with limited overlap between CPRD and HES. Median time to diagnosis was 130 days, with 43% of cases identified more than 90 days postoperatively. Charlson Comorbidity Index ≥ 3 was significantly associated with increased risk. Reoperation for infection occurred in 1.2% of cases (n = 37).</p><p><strong>Conclusion: </strong>Routinely coded data sources likely under-capture SSIs after hip fracture surgery. Poor agreement between primary and secondary care records, combined with delayed identification, limits the utility of routinely collected administrative datasets to accurately identify postoperative infection.</p>","PeriodicalId":34103,"journal":{"name":"Bone & Joint Open","volume":"6 11","pages":"1479-1486"},"PeriodicalIF":3.1,"publicationDate":"2025-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12623065/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145542818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-17DOI: 10.1302/2633-1462.611.BJO-2025-0205
Lars E Adolfsson, Simon M Lambert, Hanna C Björnsson Hallgren
The imprecise definition of terms used to describe pathological diagnosis in clinical medicine can lead to imprecise treatment concepts and inaccurate recording of outcomes. In this article, we explore the meaning of common terms applied to the pathology of the rotator cuff, and demonstrate how the imprecise use of words entails a risk of leading to a poor definition of the clinical condition being treated. We suggest improvements in the accuracy of the definition of what constitutes the rotator cuff. We suggest the use of 'defect' to describe the most common presentation of a degenerative lesion of the rotator cuff, rather than perpetuate the use of the term 'tear', which has a different, injurious aetiology. We suggest that the term 'repair' should be reserved for the condition in which an acutely injured tendon (with a 'tear') can be expected to heal, using the correct definition of the term 'to heal'. We recommend reserving the use of the term 'healed' for the condition of an acute lesion of the rotator cuff (a 'tear') to which the histological process of regenerating a near-normal enthesis can be reasonably applied. We further suggest that degenerative lesions ('defects') of the rotator cuff, which do not have the biological capacity to heal in the true sense when brought back to bone, should be described as having 'closure' of the defect.
{"title":"Rotator cuff surgery and semantics : definitions matter.","authors":"Lars E Adolfsson, Simon M Lambert, Hanna C Björnsson Hallgren","doi":"10.1302/2633-1462.611.BJO-2025-0205","DOIUrl":"10.1302/2633-1462.611.BJO-2025-0205","url":null,"abstract":"<p><p>The imprecise definition of terms used to describe pathological diagnosis in clinical medicine can lead to imprecise treatment concepts and inaccurate recording of outcomes. In this article, we explore the meaning of common terms applied to the pathology of the rotator cuff, and demonstrate how the imprecise use of words entails a risk of leading to a poor definition of the clinical condition being treated. We suggest improvements in the accuracy of the definition of what constitutes the rotator cuff. We suggest the use of 'defect' to describe the most common presentation of a degenerative lesion of the rotator cuff, rather than perpetuate the use of the term 'tear', which has a different, injurious aetiology. We suggest that the term 'repair' should be reserved for the condition in which an acutely injured tendon (with a 'tear') can be expected to heal, using the correct definition of the term 'to heal'. We recommend reserving the use of the term 'healed' for the condition of an acute lesion of the rotator cuff (a 'tear') to which the histological process of regenerating a near-normal enthesis can be reasonably applied. We further suggest that degenerative lesions ('defects') of the rotator cuff, which do not have the biological capacity to heal in the true sense when brought back to bone, should be described as having 'closure' of the defect.</p>","PeriodicalId":34103,"journal":{"name":"Bone & Joint Open","volume":"6 11","pages":"1475-1478"},"PeriodicalIF":3.1,"publicationDate":"2025-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12620035/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145534114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aims: This study was to propose novel measurements to assess severity of ligament injury in simple elbow dislocation using axial imaging. This study assessed inter- and intraobserver reliability of the proposed novel measurements and compared their application as measures of severity of medial collateral ligament (MCL) and lateral collateral ligament (LCL) injuries.
Methods: This retrospective study included patients diagnosed with simple elbow dislocations from January 2013 to December 2023. The degree of MCL and LCL injuries was assessed by four grades: (0 (normal); 1 (sprain); 2 (partial tear); and 3 (complete tear)) using MRI. Patients were classified into two groups according to the severity of MCL and LCL injuries (Group I (degree of MCL injury ≥ LCL injury); and Group II (degree of MCL injury < LCL injury)). The novel measurements were defined by measuring congruence angle (CA), medial ulnar translation (TRANS), and lateral ulnar tilt (TILT) as determined by axial MRI. Adjusted medial ulnar translation (ADJ-TRANS) was calculated. Two observers measured all parameters twice over four weeks.
Results: A total of 21 patients were analyzed. Interobserver reliability was moderate to good for CA and good for TRANS. Both CA and TRANS showed excellent intraobserver reliability. Grade 2 MCL injury had significantly higher ADJ-TRANS than grade 1, while grade 2 LCL injury had significantly higher TRANS than grade 1. Meanwhile, grade 3 LCL injury had significantly higher CA and TRANS than grade 2, and significantly higher CA, TRANS, and ADJ-TRANS than grade 1. Group II also had significantly higher CA, TRANS, and ADJ-TRANS than Group I.
Conclusion: Novel measurements using axial images of MRI scans achieved overall good inter- and intraobserver reliability. Higher grade LCL injury exhibited higher CA, TRANS, and ADJ-TRANS. Patients with LCL injury graded higher than that of MCL injury exhibited higher CA, TRANS, and ADJ-TRANS.
{"title":"Congruence angle and medial ulnar translation: a novel measurement to assess the severity of ligament injury in simple elbow dislocation.","authors":"Sang-Pil So, Seung-Hun Lee, Hui Ben, Jae-Man Kwak, Kyoung Hwan Koh, In-Ho Jeon","doi":"10.1302/2633-1462.611.BJO-2025-0237.R1","DOIUrl":"10.1302/2633-1462.611.BJO-2025-0237.R1","url":null,"abstract":"<p><strong>Aims: </strong>This study was to propose novel measurements to assess severity of ligament injury in simple elbow dislocation using axial imaging. This study assessed inter- and intraobserver reliability of the proposed novel measurements and compared their application as measures of severity of medial collateral ligament (MCL) and lateral collateral ligament (LCL) injuries.</p><p><strong>Methods: </strong>This retrospective study included patients diagnosed with simple elbow dislocations from January 2013 to December 2023. The degree of MCL and LCL injuries was assessed by four grades: (0 (normal); 1 (sprain); 2 (partial tear); and 3 (complete tear)) using MRI. Patients were classified into two groups according to the severity of MCL and LCL injuries (Group I (degree of MCL injury ≥ LCL injury); and Group II (degree of MCL injury < LCL injury)). The novel measurements were defined by measuring congruence angle (CA), medial ulnar translation (TRANS), and lateral ulnar tilt (TILT) as determined by axial MRI. Adjusted medial ulnar translation (ADJ-TRANS) was calculated. Two observers measured all parameters twice over four weeks.</p><p><strong>Results: </strong>A total of 21 patients were analyzed. Interobserver reliability was moderate to good for CA and good for TRANS. Both CA and TRANS showed excellent intraobserver reliability. Grade 2 MCL injury had significantly higher ADJ-TRANS than grade 1, while grade 2 LCL injury had significantly higher TRANS than grade 1. Meanwhile, grade 3 LCL injury had significantly higher CA and TRANS than grade 2, and significantly higher CA, TRANS, and ADJ-TRANS than grade 1. Group II also had significantly higher CA, TRANS, and ADJ-TRANS than Group I.</p><p><strong>Conclusion: </strong>Novel measurements using axial images of MRI scans achieved overall good inter- and intraobserver reliability. Higher grade LCL injury exhibited higher CA, TRANS, and ADJ-TRANS. Patients with LCL injury graded higher than that of MCL injury exhibited higher CA, TRANS, and ADJ-TRANS.</p>","PeriodicalId":34103,"journal":{"name":"Bone & Joint Open","volume":"6 11","pages":"1468-1474"},"PeriodicalIF":3.1,"publicationDate":"2025-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12618108/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145524493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-14DOI: 10.1302/2633-1462.611.BJO-2025-0265.R1
Daniel Reiser, Sanjeev Kakar
{"title":"Rethinking SLIL classifications in the age of needle arthroscopy: do we need sub-grades?","authors":"Daniel Reiser, Sanjeev Kakar","doi":"10.1302/2633-1462.611.BJO-2025-0265.R1","DOIUrl":"10.1302/2633-1462.611.BJO-2025-0265.R1","url":null,"abstract":"","PeriodicalId":34103,"journal":{"name":"Bone & Joint Open","volume":"6 11","pages":"1466-1467"},"PeriodicalIF":3.1,"publicationDate":"2025-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12615014/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145514313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aims: Patient satisfaction after total knee arthroplasty (TKA) is a key measure of clinical outcome. While preoperative pain catastrophizing is known to affect postoperative results, the impact of early postoperative catastrophizing remains unclear. This study aimed to evaluate whether early postoperative pain catastrophizing is associated with PS one year after TKA.
Methods: We evaluated 254 knees in 254 patients undergoing TKA, assessing the Pain Catastrophizing Scale (PCS) and visual analogue scale (VAS) one day before, as well as one, three, and seven days after TKA. The 2011 Knee Society Score (KSS) was assessed preoperatively and one year postoperatively. Based on PS scores in the KSS, patients were classified into satisfaction (PS > 20) and dissatisfaction (PS ≤ 20) groups. PCS and VAS scores were compared between groups using the Mann-Whitney U test. Spearman's rank correlation coefficient and multiple regression analysis were used to evaluate relationships among factors.
Results: Mean PCS scores were 22.8 (SD 12.6), 21.9 (SD 12.2), 18.3 (SD 10.8), and 15.2 (SD 10.5) one day before, as well as one, three, and seven days after TKA, respectively. PCS scores seven days after TKA were negatively correlated with patient satisfaction one year after TKA (ρ = -0.32, p < 0.001). The dissatisfaction group had significantly higher PCS scores at all postoperative timepoints (p = 0.010, p < 0.001, and p < 0.001, respectively.). There were no significant differences in VAS scores between groups at any timepoint. Multiple regression analysis revealed that the PCS score seven days after TKA was significantly associated with PS (β = -0.321, p < 0.001). The cutoff PCS score seven days post-TKA for the dissatisfaction group was 12 (area under the curve: 0.653).
Conclusion: Patients who were dissatisfied with TKA outcomes persistently exhibited high PCS scores immediately after surgery. Surgeons should consider not only preoperative PCS and VAS scores, but also postoperative PCS scores in order to enhance postoperative patient satisfaction following TKA.
目的:全膝关节置换术(TKA)后患者满意度是衡量临床疗效的关键指标。虽然已知术前疼痛灾难会影响术后结果,但术后早期灾难的影响尚不清楚。本研究旨在评估TKA术后1年早期疼痛灾难化是否与PS相关。方法:对254例全膝关节置换术患者的254个膝关节进行评估,分别于术前1天、术后1天、3天、7天进行疼痛加重评分(PCS)和视觉模拟评分(VAS)。术前和术后1年分别评估2011膝关节社会评分(KSS)。根据KSS的PS评分,将患者分为满意组(PS≤20)和不满意组(PS≤20)。采用Mann-Whitney U检验比较各组PCS和VAS评分。采用Spearman秩相关系数和多元回归分析评价各因素之间的关系。结果:TKA前1天、TKA后1天、3天、7天的平均PCS评分分别为22.8分(SD 12.6)、21.9分(SD 12.2)、18.3分(SD 10.8)、15.2分(SD 10.5)。TKA术后7天PCS评分与患者满意度1年呈负相关(ρ = -0.32, p < 0.001)。不满意组术后各时间点PCS评分均显著高于不满意组(p = 0.010, p < 0.001, p < 0.001)。各组VAS评分在任何时间点均无显著差异。多元回归分析显示,TKA后7 d PCS评分与PS显著相关(β = -0.321, p < 0.001)。不满意组tka后7天的PCS分值为12(曲线下面积:0.653)。结论:对TKA结果不满意的患者术后持续表现出较高的PCS评分。为了提高TKA术后患者满意度,外科医生不仅要考虑术前PCS和VAS评分,还要考虑术后PCS评分。
{"title":"Pain catastrophizing immediately after surgery predicts postoperative patient satisfaction one year after total knee arthroplasty.","authors":"Tomofumi Kinoshita, Tatsuhiko Kutsuna, Kunihiko Watamori, Takashi Tsuda, Yusuke Horita, Kazunori Hino, Masaki Takao","doi":"10.1302/2633-1462.611.BJO-2025-0076.R2","DOIUrl":"10.1302/2633-1462.611.BJO-2025-0076.R2","url":null,"abstract":"<p><strong>Aims: </strong>Patient satisfaction after total knee arthroplasty (TKA) is a key measure of clinical outcome. While preoperative pain catastrophizing is known to affect postoperative results, the impact of early postoperative catastrophizing remains unclear. This study aimed to evaluate whether early postoperative pain catastrophizing is associated with PS one year after TKA.</p><p><strong>Methods: </strong>We evaluated 254 knees in 254 patients undergoing TKA, assessing the Pain Catastrophizing Scale (PCS) and visual analogue scale (VAS) one day before, as well as one, three, and seven days after TKA. The 2011 Knee Society Score (KSS) was assessed preoperatively and one year postoperatively. Based on PS scores in the KSS, patients were classified into satisfaction (PS > 20) and dissatisfaction (PS ≤ 20) groups. PCS and VAS scores were compared between groups using the Mann-Whitney U test. Spearman's rank correlation coefficient and multiple regression analysis were used to evaluate relationships among factors.</p><p><strong>Results: </strong>Mean PCS scores were 22.8 (SD 12.6), 21.9 (SD 12.2), 18.3 (SD 10.8), and 15.2 (SD 10.5) one day before, as well as one, three, and seven days after TKA, respectively. PCS scores seven days after TKA were negatively correlated with patient satisfaction one year after TKA (ρ = -0.32, p < 0.001). The dissatisfaction group had significantly higher PCS scores at all postoperative timepoints (p = 0.010, p < 0.001, and p < 0.001, respectively.). There were no significant differences in VAS scores between groups at any timepoint. Multiple regression analysis revealed that the PCS score seven days after TKA was significantly associated with PS (<i>β</i> = -0.321, p < 0.001). The cutoff PCS score seven days post-TKA for the dissatisfaction group was 12 (area under the curve: 0.653).</p><p><strong>Conclusion: </strong>Patients who were dissatisfied with TKA outcomes persistently exhibited high PCS scores immediately after surgery. Surgeons should consider not only preoperative PCS and VAS scores, but also postoperative PCS scores in order to enhance postoperative patient satisfaction following TKA.</p>","PeriodicalId":34103,"journal":{"name":"Bone & Joint Open","volume":"6 11","pages":"1457-1465"},"PeriodicalIF":3.1,"publicationDate":"2025-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12611442/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145507556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aims: In advanced medial knee osteoarthritis, lower limb alignment is assessed using weightbearing imaging, which reflects the joint line convergence angle (JLCA). However, successful lateral load transfer with open-wedge high tibial osteotomy (OWHTO) can reduce the JLCA by decreasing the lateral and increasing the medial joint space on weightbearing imaging, making the correction less predictable. This study aimed to demonstrate that OWHTO planning using preoperative supine imaging yields more reproducible correction than weightbearing imaging and to identify radiological predictors of excessive JLCA change (> 2°).
Methods: We retrospectively analyzed 115 knees of 96 patients who underwent OWHTO planned using supine imaging. Radiological parameters, including the hip-knee-ankle angle (HKAA) and arithmetic HKAA, were measured using preoperative and postoperative long-leg weightbearing radiographs. Knees were categorized into three groups by ΔJLCA: ΔJLCA < -2° (decreased); -2° ≤ ΔJLCA ≤ 2° (unchanged), and ΔJLCA > 2° (increased). Logistic regression and receiver operating characteristic curve analysis were used to determine radiological factors associated with ΔJLCA.
Results: The unchanged JLCA group comprised 84.3% of knees, with similar preoperative weightbearing and supine JLCAs (2.6° and 2.5°, respectively). The postoperative weightbearing JLCA was 2.5°. The decreased JLCA group included 11.3% of knees, and the postoperative weightbearing JLCA (mean 2.6°) was closer to the preoperative supine (mean 4.1°) than the weightbearing JLCA (mean 5.5°). Preoperative arithmetic HKAAs were identical in the unchanged and decreased JLCA groups (3.9° varus). The increased JLCA group comprised only 4.3% of knees. Preoperative weightbearing JLCA > 4.9° and varus HKAA > 8.8° were significantly associated with decreased JLCA, with areas under the curve of 0.86 and 0.72, respectively.
Conclusion: Postoperative weightbearing alignment following OWHTO is better predicted by preoperative supine than weightbearing imaging. Furthermore, large preoperative weightbearing JLCA (> 4.9°) and severe varus HKAA (> 8.8°) are associated with decreased postoperative JLCA.
{"title":"Rationale for preoperative planning in the supine position based on variability in the joint line convergence angle before and after open-wedge high tibial osteotomy.","authors":"Sayako Sakai, Shinichi Kuriyama, Takahiro Maeda, Yusuke Yamawaki, Yugo Morita, Kohei Nishitani, Shinichiro Nakamura, Shuichi Matsuda","doi":"10.1302/2633-1462.611.BJO-2025-0229.R1","DOIUrl":"10.1302/2633-1462.611.BJO-2025-0229.R1","url":null,"abstract":"<p><strong>Aims: </strong>In advanced medial knee osteoarthritis, lower limb alignment is assessed using weightbearing imaging, which reflects the joint line convergence angle (JLCA). However, successful lateral load transfer with open-wedge high tibial osteotomy (OWHTO) can reduce the JLCA by decreasing the lateral and increasing the medial joint space on weightbearing imaging, making the correction less predictable. This study aimed to demonstrate that OWHTO planning using preoperative supine imaging yields more reproducible correction than weightbearing imaging and to identify radiological predictors of excessive JLCA change (> 2°).</p><p><strong>Methods: </strong>We retrospectively analyzed 115 knees of 96 patients who underwent OWHTO planned using supine imaging. Radiological parameters, including the hip-knee-ankle angle (HKAA) and arithmetic HKAA, were measured using preoperative and postoperative long-leg weightbearing radiographs. Knees were categorized into three groups by ΔJLCA: ΔJLCA < -2° (decreased); -2° ≤ ΔJLCA ≤ 2° (unchanged), and ΔJLCA > 2° (increased). Logistic regression and receiver operating characteristic curve analysis were used to determine radiological factors associated with ΔJLCA.</p><p><strong>Results: </strong>The unchanged JLCA group comprised 84.3% of knees, with similar preoperative weightbearing and supine JLCAs (2.6° and 2.5°, respectively). The postoperative weightbearing JLCA was 2.5°. The decreased JLCA group included 11.3% of knees, and the postoperative weightbearing JLCA (mean 2.6°) was closer to the preoperative supine (mean 4.1°) than the weightbearing JLCA (mean 5.5°). Preoperative arithmetic HKAAs were identical in the unchanged and decreased JLCA groups (3.9° varus). The increased JLCA group comprised only 4.3% of knees. Preoperative weightbearing JLCA > 4.9° and varus HKAA > 8.8° were significantly associated with decreased JLCA, with areas under the curve of 0.86 and 0.72, respectively.</p><p><strong>Conclusion: </strong>Postoperative weightbearing alignment following OWHTO is better predicted by preoperative supine than weightbearing imaging. Furthermore, large preoperative weightbearing JLCA (> 4.9°) and severe varus HKAA (> 8.8°) are associated with decreased postoperative JLCA.</p>","PeriodicalId":34103,"journal":{"name":"Bone & Joint Open","volume":"6 11","pages":"1446-1455"},"PeriodicalIF":3.1,"publicationDate":"2025-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12614650/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145496246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}