Pub Date : 2025-12-05DOI: 10.1302/2633-1462.612.BJO-2025-00008
Zeeshan Khan, Zainab Aqeel Khan, Tomas Zamora, Ashish Gulia, Santiago A Lozano-Calderon, Vineet J Kurisunkal, Lee M Jeys, Minna K Laitinen
{"title":"Corrigendum.","authors":"Zeeshan Khan, Zainab Aqeel Khan, Tomas Zamora, Ashish Gulia, Santiago A Lozano-Calderon, Vineet J Kurisunkal, Lee M Jeys, Minna K Laitinen","doi":"10.1302/2633-1462.612.BJO-2025-00008","DOIUrl":"10.1302/2633-1462.612.BJO-2025-00008","url":null,"abstract":"","PeriodicalId":34103,"journal":{"name":"Bone & Joint Open","volume":"6 12","pages":"1559"},"PeriodicalIF":3.1,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12677977/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145678886","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 : 2025-12-04DOI: 10.1302/2633-1462.612.BJO-2025-0198.R1
Matthew J Kennedy, Rose S Penfold, Lorraine Donaldson, Andrew J Hall, Martin J Davison, Alasdair M J MacLullich, Phil Walmsley, Nick D Clement, Jon V Clarke
Aims: Hip fracture patients have a significant mortality risk. Risk stratification tools are important in guiding management and family discussions. Aims were to assess the associations and validity of the Clinical Frailty Scale (CFS) in predicting mortality and return to original residence within 30 days using national hip fracture registry data.
Methods: Routinely collected clinical registry data for all patients presenting with a hip fracture in Scotland aged 50 years and over between February 2022 and December 2023 with a completed CFS score were analyzed. The association of frailty with mortality and return to original residence was assessed using multivariable Cox regression and logistic regression analysis, respectively, adjusting for confounders to present adjusted hazard (aHRs) and odds ratios (aORs).
Results: Of 15,546 patients, 8,573 had completed the CFS. Exclusion for missingness gave a final sample of 8,092. Most (71.4%) were female with a median American Society of Anesthesiologists (ASA) grade of 3 (IQR 3 to 3) and CFS of 5 (IQR 4 to 7). Vulnerable and frail patients (CFS ≥ 4) were older, more likely to be admitted from a higher care setting, and had increased mortality risk on the same admission. Higher CFS scores were associated with increased mortality risk: mildly frail (CFS 4 to 5), aHR 1.67 (95% CI 1.53 to 1.87); and frail (CFS 6 to 8), aHR 3.01 (95% CI 2.59 to 3.50). CFS and ASA grade showed similar performance in predicting one-year mortality (CFS area under curve (AUC) 0.72, 95% CI 0.71 to 0.73; ASA AUC 0.66, 95% CI 0.65 to 0.67) and return to residence (CFS AUC 0.63, 95% CI 0.62 to 0.65; ASA AUC 0.61, 95% CI 0.60 to 0.62).
Conclusion: The CFS is a pragmatic and validated tool for assessing frailty, which has a strong association with mortality risk in patients with hip fractures. Its predictive accuracy supports its integration into national hip fracture registries. While its utility in predicting return to pre-injury residence is moderate, it remains a valuable component of comprehensive patient assessment.
目的:髋部骨折患者有显著的死亡风险。风险分层工具在指导管理和家庭讨论方面很重要。目的是利用国家髋部骨折登记数据,评估临床虚弱量表(CFS)在预测死亡率和30天内返回原居地的相关性和有效性。方法:对2022年2月至2023年12月期间苏格兰所有年龄在50岁及以上的髋部骨折患者的常规临床登记数据进行分析,并完成CFS评分。分别使用多变量Cox回归和logistic回归分析评估虚弱与死亡率和返回原居地的关系,调整混杂因素以获得校正危险(aHRs)和优势比(aORs)。结果:15546例患者中,8573例完成了CFS。排除遗漏后的最终样本为8092人。大多数(71.4%)为女性,美国麻醉医师学会(ASA)评分中位数为3 (IQR 3至3),CFS为5 (IQR 4至7)。易受伤害和虚弱的患者(CFS≥4)年龄较大,更有可能从更高的护理机构入院,并且在同一次入院时死亡风险增加。较高的CFS评分与死亡风险增加相关:轻度虚弱(CFS 4至5),aHR 1.67 (95% CI 1.53至1.87);虚弱(CFS 6 ~ 8), aHR 3.01 (95% CI 2.59 ~ 3.50)。CFS和ASA分级在预测一年死亡率方面表现相似(CFS曲线下面积(AUC) 0.72, 95% CI 0.71 ~ 0.73;ASA AUC 0.66, 95% CI 0.65至0.67)和返回居住地(CFS AUC 0.63, 95% CI 0.62至0.65;ASA AUC 0.61, 95% CI 0.60至0.62)。结论:CFS是一种实用且有效的评估虚弱的工具,它与髋部骨折患者的死亡风险密切相关。其预测准确性支持其整合到国家髋部骨折登记。虽然它在预测损伤前住所返回的效用是中等的,但它仍然是综合患者评估的一个有价值的组成部分。
{"title":"The Clinical Frailty Scale is a valid and independent predictor of one-year survival in patients sustaining a hip fracture : scottish Hip Fracture Audit data from 8,092 patients.","authors":"Matthew J Kennedy, Rose S Penfold, Lorraine Donaldson, Andrew J Hall, Martin J Davison, Alasdair M J MacLullich, Phil Walmsley, Nick D Clement, Jon V Clarke","doi":"10.1302/2633-1462.612.BJO-2025-0198.R1","DOIUrl":"10.1302/2633-1462.612.BJO-2025-0198.R1","url":null,"abstract":"<p><strong>Aims: </strong>Hip fracture patients have a significant mortality risk. Risk stratification tools are important in guiding management and family discussions. Aims were to assess the associations and validity of the Clinical Frailty Scale (CFS) in predicting mortality and return to original residence within 30 days using national hip fracture registry data.</p><p><strong>Methods: </strong>Routinely collected clinical registry data for all patients presenting with a hip fracture in Scotland aged 50 years and over between February 2022 and December 2023 with a completed CFS score were analyzed. The association of frailty with mortality and return to original residence was assessed using multivariable Cox regression and logistic regression analysis, respectively, adjusting for confounders to present adjusted hazard (aHRs) and odds ratios (aORs).</p><p><strong>Results: </strong>Of 15,546 patients, 8,573 had completed the CFS. Exclusion for missingness gave a final sample of 8,092. Most (71.4%) were female with a median American Society of Anesthesiologists (ASA) grade of 3 (IQR 3 to 3) and CFS of 5 (IQR 4 to 7). Vulnerable and frail patients (CFS ≥ 4) were older, more likely to be admitted from a higher care setting, and had increased mortality risk on the same admission. Higher CFS scores were associated with increased mortality risk: mildly frail (CFS 4 to 5), aHR 1.67 (95% CI 1.53 to 1.87); and frail (CFS 6 to 8), aHR 3.01 (95% CI 2.59 to 3.50). CFS and ASA grade showed similar performance in predicting one-year mortality (CFS area under curve (AUC) 0.72, 95% CI 0.71 to 0.73; ASA AUC 0.66, 95% CI 0.65 to 0.67) and return to residence (CFS AUC 0.63, 95% CI 0.62 to 0.65; ASA AUC 0.61, 95% CI 0.60 to 0.62).</p><p><strong>Conclusion: </strong>The CFS is a pragmatic and validated tool for assessing frailty, which has a strong association with mortality risk in patients with hip fractures. Its predictive accuracy supports its integration into national hip fracture registries. While its utility in predicting return to pre-injury residence is moderate, it remains a valuable component of comprehensive patient assessment.</p>","PeriodicalId":34103,"journal":{"name":"Bone & Joint Open","volume":"6 12","pages":"1550-1558"},"PeriodicalIF":3.1,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12674844/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145670118","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 : 2025-12-03DOI: 10.1302/2633-1462.612.BJO-2025-0214.R1
Giuseppe Geraci, Alberto Di Martino, Enrico Masi, Chiara Di Censo, Cesare Faldini
Aims: Total hip arthroplasty (THA) failure occurs more frequently in patients with abnormal pelvic version and kinematics, as these individuals are at greater risk of impingement and dislocation. This scoping review summarizes current classification systems for hip-spine and spine-hip issues in THA, defines specific patterns of pelvic version and kinematics, and integrates recommendations to optimize outcomes.
Methods: An extensive literature review was carried out in October 2024 on MEDLINE, Cochrane, ProQuest, and PubMed medical databases, reporting classification systems with specific diagnostic recommendations and treatment strategies. The search included articles published in English language from January 2016 until September 2024. Search keywords included 'Total hip arthroplasty' or 'total hip arthroplasty' in combination with 'hip-spine', 'spine-hip', 'lumbopelvic', 'spinopelvic', 'pelvic version', 'pelvic kinematic', and 'pelvic mobility'. Seven eligible articles were selected and analyzed.
Results: Current hip-spine classifications characterize groups of patients based on specific parameters. Available classifications were summarized in a nomogram illustrating all combinations of pelvic version and kinematics, and that provides recommendations to minimize the risk of complications following THA for each pattern. Specific recommendations are provided for patients with abnormal pelvic version and kinematics. Notably, for patients presenting stiff, stuck-standing, or stuck-standing pelvis, the surgeon should increase cup inclination and anteversion and also consider an anti-dislocation implant design and offset femoral component. Conversely, if lumbopelvic mismatch is present in stiff, stuck-sitting patients, cup anteversion must be reduced.
Conclusion: This review provides an integrated and comprehensive overview of the current literature on spinopelvic issues in THA patients. It highlights the complexity of the issue and the need for a unified understanding of the different classifications. The review also provides robust and consistent recommendations for managing patients with abnormal pelvic version and kinematics. Further studies are required to validate the efficacy of the recommendations proposed by current available classification systems.
{"title":"Pelvic version and kinematics in patients with total hip arthroplasty: a scoping review of current classification systems and recommendations based on spinal alignment.","authors":"Giuseppe Geraci, Alberto Di Martino, Enrico Masi, Chiara Di Censo, Cesare Faldini","doi":"10.1302/2633-1462.612.BJO-2025-0214.R1","DOIUrl":"10.1302/2633-1462.612.BJO-2025-0214.R1","url":null,"abstract":"<p><strong>Aims: </strong>Total hip arthroplasty (THA) failure occurs more frequently in patients with abnormal pelvic version and kinematics, as these individuals are at greater risk of impingement and dislocation. This scoping review summarizes current classification systems for hip-spine and spine-hip issues in THA, defines specific patterns of pelvic version and kinematics, and integrates recommendations to optimize outcomes.</p><p><strong>Methods: </strong>An extensive literature review was carried out in October 2024 on MEDLINE, Cochrane, ProQuest, and PubMed medical databases, reporting classification systems with specific diagnostic recommendations and treatment strategies. The search included articles published in English language from January 2016 until September 2024. Search keywords included 'Total hip arthroplasty' or 'total hip arthroplasty' in combination with 'hip-spine', 'spine-hip', 'lumbopelvic', 'spinopelvic', 'pelvic version', 'pelvic kinematic', and 'pelvic mobility'. Seven eligible articles were selected and analyzed.</p><p><strong>Results: </strong>Current hip-spine classifications characterize groups of patients based on specific parameters. Available classifications were summarized in a nomogram illustrating all combinations of pelvic version and kinematics, and that provides recommendations to minimize the risk of complications following THA for each pattern. Specific recommendations are provided for patients with abnormal pelvic version and kinematics. Notably, for patients presenting stiff, stuck-standing, or stuck-standing pelvis, the surgeon should increase cup inclination and anteversion and also consider an anti-dislocation implant design and offset femoral component. Conversely, if lumbopelvic mismatch is present in stiff, stuck-sitting patients, cup anteversion must be reduced.</p><p><strong>Conclusion: </strong>This review provides an integrated and comprehensive overview of the current literature on spinopelvic issues in THA patients. It highlights the complexity of the issue and the need for a unified understanding of the different classifications. The review also provides robust and consistent recommendations for managing patients with abnormal pelvic version and kinematics. Further studies are required to validate the efficacy of the recommendations proposed by current available classification systems.</p>","PeriodicalId":34103,"journal":{"name":"Bone & Joint Open","volume":"6 12","pages":"1542-1549"},"PeriodicalIF":3.1,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12672027/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145662162","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 : 2025-12-02DOI: 10.1302/2633-1462.612.BJO-2025-0248.R1
Pablo A Slullitel, Juan I Perez-Abdala, Nicolas Stramazzo, Gerardo Zanotti, Fernando Comba, Ivan A Huespe, Martin A Buttaro
Aims: Two preoperative risk models have been designed to predict debridement, antibiotics, and implant retention (DAIR) failure: KLICC and CRIME-80 scores. However, external validation of both scores is scarce. We aimed to validate these scores in an external cohort and to create a new model with additional risk factors.
Methods: We retrospectively evaluated 96 patients with early acute periprosthetic hip infection treated with DAIR. At a two-year cut-off, failure was defined as the need for second DAIR, implant removal, or 90-day infection-related death. Association between demographic variables and failures was tested. The model discriminatory performance was measured using the time-dependent receiver operating characteristic (ROC) curve and Harrell concordance index (C-index). The 'calibration in the large' (CITL) was calculated as the logistic regression model intercept. A modified KLICC score was created by adding the variable time from onset of symptoms to DAIR.
Results: The 24-month cumulative incidence of failure was 23.96% (95% CI 15.9 to 32.8). KLICC's area under receiver operating characteristic (AUROC) was 0.79 (95% CI 0.67 to 0.90), with a CITL of -0.57 (95% CI -1.16 to -0.01) and a slope of 0.68 (95% CI 0.35 to 1.02). CRIME-80's AUROC was 0.63 (95% CI 0.51 to 0.76), with a CITL of -1.66 (95% CI -2.13 to -1.19) and a slope of 0.35 (95% CI -0.14 to 0.85). The difference between both AUROCs was statistically significant (p = 0.0138), with the KLICC score performing better. As compared with the original KLICC score, the modified-KLICC improved the AUROC to 0.85 and the beta-slope and α intercept to 1.24 and -0.07, respectively (p = 0.020).
Conclusion: KLICC was superior to CRIME-80 in predicting DAIR failure. The modified-KLICC score improved the model prediction and could be useful to help indicate alternatives to DAIR when the predictive failure is high.
目的:设计了两种术前风险模型来预测清创、抗生素和种植体保留(DAIR)失败:KLICC和CRIME-80评分。然而,这两个分数的外部验证是稀缺的。我们的目标是在外部队列中验证这些分数,并创建一个包含其他风险因素的新模型。方法:对96例早期急性假体周围髋关节感染患者进行回顾性评价。在两年的截止时间内,失败被定义为需要第二次DAIR,植入物移除或90天感染相关死亡。检验了人口统计学变量与失败之间的关系。采用随时间变化的受试者工作特征(ROC)曲线和Harrell一致性指数(C-index)来衡量模型的区分性能。“大校准”(CITL)作为逻辑回归模型截距计算。通过将从症状开始的可变时间添加到DAIR中,创建了修改的KLICC评分。结果:24个月累计失败率为23.96% (95% CI 15.9 ~ 32.8)。KLICC的受试者工作特征下面积(AUROC)为0.79 (95% CI 0.67 ~ 0.90), CITL为-0.57 (95% CI -1.16 ~ -0.01),斜率为0.68 (95% CI 0.35 ~ 1.02)。CRIME-80的AUROC为0.63 (95% CI 0.51 ~ 0.76), CITL为-1.66 (95% CI -2.13 ~ -1.19),斜率为0.35 (95% CI -0.14 ~ 0.85)。两种auroc之间的差异有统计学意义(p = 0.0138), KLICC评分表现更好。与原始KLICC评分相比,修改后的KLICC将AUROC提高至0.85,β斜率和α截距分别提高至1.24和-0.07 (p = 0.020)。结论:KLICC在预测DAIR失效方面优于CRIME-80。修正后的klicc评分改善了模型预测,当预测失败率很高时,可以帮助指示DAIR的替代方案。
{"title":"The modified-KLICC score: a novel tool to predict outcomes following debridement, antibiotics, and implant retention after early acute periprosthetic hip infection.","authors":"Pablo A Slullitel, Juan I Perez-Abdala, Nicolas Stramazzo, Gerardo Zanotti, Fernando Comba, Ivan A Huespe, Martin A Buttaro","doi":"10.1302/2633-1462.612.BJO-2025-0248.R1","DOIUrl":"10.1302/2633-1462.612.BJO-2025-0248.R1","url":null,"abstract":"<p><strong>Aims: </strong>Two preoperative risk models have been designed to predict debridement, antibiotics, and implant retention (DAIR) failure: KLICC and CRIME-80 scores. However, external validation of both scores is scarce. We aimed to validate these scores in an external cohort and to create a new model with additional risk factors.</p><p><strong>Methods: </strong>We retrospectively evaluated 96 patients with early acute periprosthetic hip infection treated with DAIR. At a two-year cut-off, failure was defined as the need for second DAIR, implant removal, or 90-day infection-related death. Association between demographic variables and failures was tested. The model discriminatory performance was measured using the time-dependent receiver operating characteristic (ROC) curve and Harrell concordance index (C-index). The 'calibration in the large' (CITL) was calculated as the logistic regression model intercept. A modified KLICC score was created by adding the variable time from onset of symptoms to DAIR.</p><p><strong>Results: </strong>The 24-month cumulative incidence of failure was 23.96% (95% CI 15.9 to 32.8). KLICC's area under receiver operating characteristic (AUROC) was 0.79 (95% CI 0.67 to 0.90), with a CITL of -0.57 (95% CI -1.16 to -0.01) and a slope of 0.68 (95% CI 0.35 to 1.02). CRIME-80's AUROC was 0.63 (95% CI 0.51 to 0.76), with a CITL of -1.66 (95% CI -2.13 to -1.19) and a slope of 0.35 (95% CI -0.14 to 0.85). The difference between both AUROCs was statistically significant (p = 0.0138), with the KLICC score performing better. As compared with the original KLICC score, the modified-KLICC improved the AUROC to 0.85 and the beta-slope and α intercept to 1.24 and -0.07, respectively (p = 0.020).</p><p><strong>Conclusion: </strong>KLICC was superior to CRIME-80 in predicting DAIR failure. The modified-KLICC score improved the model prediction and could be useful to help indicate alternatives to DAIR when the predictive failure is high.</p>","PeriodicalId":34103,"journal":{"name":"Bone & Joint Open","volume":"6 12","pages":"1532-1541"},"PeriodicalIF":3.1,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12668821/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145656064","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 : 2025-12-01DOI: 10.1302/2633-1462.612.BJO-2025-0190
Guido Scoccianti, Serena Puccini, Eleonora Mellace, Martina Caterino, Maurizio Scorianz, Domenico A Campanacci
Aims: Various reconstructions of the distal radius after tumour resection have been proposed. Osteoarticular allografts can restore a functional joint, but the long-term durability of this reconstruction has been questioned. Data on long-term results are scarce in the literature. The aim of our study was to answer the following questions: What is the long-term survival of osteoarticular distal radius allografts with a minimum follow-up of ten years? What is the long-term patient satisfaction?
Methods: From 1999 to 2013, we performed 23 reconstructions with osteoarticular allografts after distal radius resection. Patients had a mean age of 36 years (14 to 69); 17 had giant cell tumour, three Ewing's sarcoma, two osteosarcoma, and one osteoblastoma. All patients were evaluated for allograft survival and functional outcome (Musculoskeletal Tumor Society (MSTS) score and Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire score).
Results: One patient was lost to follow-up at 53 months. One patient died for concomitant disease at 44 months. Of the remaining 21 patients, one underwent revision arthrodesis at 48 months. A total of 20 allografts remained in situ at follow-up for a mean of 213 months (22 to 293). The mean MSTS was 25.7 (18 to 30), and the mean DASH was 10.4 (0 to 30). According to the MSTS parameter of emotional acceptance, all patients with a surviving allograft scored still satisfied or higher.
Conclusion: In our experience, osteoarticular allografts in distal radius reconstruction can be a long-lasting procedure with long-term patient satisfaction. Few and conflicting results are reported in the literature; even when comparing series, it is difficult to clearly identify factors that may explain the differences in reported results.
{"title":"Osteoarticular allograft reconstruction after resection of the distal radius : survival and functional results at ten to 24 years follow-up.","authors":"Guido Scoccianti, Serena Puccini, Eleonora Mellace, Martina Caterino, Maurizio Scorianz, Domenico A Campanacci","doi":"10.1302/2633-1462.612.BJO-2025-0190","DOIUrl":"10.1302/2633-1462.612.BJO-2025-0190","url":null,"abstract":"<p><strong>Aims: </strong>Various reconstructions of the distal radius after tumour resection have been proposed. Osteoarticular allografts can restore a functional joint, but the long-term durability of this reconstruction has been questioned. Data on long-term results are scarce in the literature. The aim of our study was to answer the following questions: What is the long-term survival of osteoarticular distal radius allografts with a minimum follow-up of ten years? What is the long-term patient satisfaction?</p><p><strong>Methods: </strong>From 1999 to 2013, we performed 23 reconstructions with osteoarticular allografts after distal radius resection. Patients had a mean age of 36 years (14 to 69); 17 had giant cell tumour, three Ewing's sarcoma, two osteosarcoma, and one osteoblastoma. All patients were evaluated for allograft survival and functional outcome (Musculoskeletal Tumor Society (MSTS) score and Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire score).</p><p><strong>Results: </strong>One patient was lost to follow-up at 53 months. One patient died for concomitant disease at 44 months. Of the remaining 21 patients, one underwent revision arthrodesis at 48 months. A total of 20 allografts remained in situ at follow-up for a mean of 213 months (22 to 293). The mean MSTS was 25.7 (18 to 30), and the mean DASH was 10.4 (0 to 30). According to the MSTS parameter of emotional acceptance, all patients with a surviving allograft scored still satisfied or higher.</p><p><strong>Conclusion: </strong>In our experience, osteoarticular allografts in distal radius reconstruction can be a long-lasting procedure with long-term patient satisfaction. Few and conflicting results are reported in the literature; even when comparing series, it is difficult to clearly identify factors that may explain the differences in reported results.</p>","PeriodicalId":34103,"journal":{"name":"Bone & Joint Open","volume":"6 12","pages":"1523-1531"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12665384/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145649475","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 : 2025-11-22DOI: 10.1302/2633-1462.611.BJO-2025-0137.R1
Qiang Xiao, Jian Cao, Bing Xu, Mingcheng Yuan, Kai Zhou, Tingxian Ling, Hong Yu, ZongKe Zhou
Aims: The reconstruction of Paprosky type III bone defects remains a challenge. Although biological fixation materials are currently dominant, cage continues to play a role in resource-poor settings. The aims of this study are to report the long-term follow-up survivorship of the combination of cage and morselized allograft in Paprosky type III bone defects and evaluate allografts' incorporation.
Methods: We retrospectively analyzed 208 patients with Paprosky type III acetabular bone defects who underwent revision with a combination of cage and morselized allografts between January 2007 and January 2019. In total, 43 patients were followed up, with an mean follow-up of 10.6 years. There were 19 Paprosky type IIIA bone defect patients and 24 Paprosky type IIIB bone defect patients; seven patients of the 24 also had pelvic discontinuity (PD). Clinical assessment included Harris Hip Score (HHS) and 12-Item Short-Form Health Survey questionnaire (SF-12). Radiological assessment included cage stability, survivorship, and allograft incorporation.
Results: There were two re-revisions, one at 5.1 years postoperatively, another at 13.6 years postoperatively. The calculated survival rate of cages was 97.7% at ten years (95% CI 84.6% to 99.7%) and 85.5% at 15 years (95% CI 42.6% to 97.1%), with clinical failure as the endpoint. The calculated survival rate of cages was 94.2% (95% CI 78.1% to 98.6%) at both ten years and 15 years, with radiological failure as the endpoint. Cage remained stable in 39 patients (90.7%), and the cage in two patients was classified as possibly loose at the last follow-up. Allografts of 40 cases (93%) incorporated fully. HHS and SF-12 showed significant improvement at the last follow-up compared to the preoperative value (p < 0.05).
Conclusion: The combination of cage and morselized allografts is an alternative option for acetabular revision with Paprosky type III bone defects, with a satisfactory ten-year clinical survivorship of 97.7% and radiological survivorship of 94.2%.
目的:papprosky III型骨缺损的重建仍然是一个挑战。虽然生物固定材料目前占主导地位,笼子继续在资源贫乏的环境中发挥作用。本研究的目的是报道笼状和块状同种异体骨移植联合治疗papprosky III型骨缺损的长期随访生存率,并评估同种异体骨移植的结合情况。方法:回顾性分析2007年1月至2019年1月期间,208例采用笼状异体骨移植联合翻修的帕普罗斯基III型髋臼骨缺损患者。总共随访了43例患者,平均随访10.6年。帕普洛斯基IIIA型骨缺损19例,帕普洛斯基IIIB型骨缺损24例;24例患者中有7例伴有盆腔不连续(PD)。临床评估包括Harris髋关节评分(HHS)和12项健康问卷(SF-12)。放射学评估包括笼稳定性、存活率和同种异体移植物结合。结果:有两次重新修订,一次在术后5.1年,另一次在术后13.6年。以临床失败为终点,计算笼的10年生存率为97.7% (95% CI 84.6% ~ 99.7%), 15年生存率为85.5% (95% CI 42.6% ~ 97.1%)。10年和15年的笼子计算存活率为94.2% (95% CI 78.1%至98.6%),以放射学失败为终点。39例(90.7%)患者笼子保持稳定,2例患者最后随访时笼子可能松动。同种异体移植40例(93%)完全融合。末次随访时HHS和SF-12较术前有显著改善(p < 0.05)。结论:笼状异体骨结合块状异体骨移植是治疗pasprosky III型骨缺损髋臼翻修的一种可选方法,10年临床生存率为97.7%,放射学生存率为94.2%。
{"title":"Reconstruction of Paprosky type III acetabular bone defects in revision hip arthroplasty by using a combination of cage and morselized allografts.","authors":"Qiang Xiao, Jian Cao, Bing Xu, Mingcheng Yuan, Kai Zhou, Tingxian Ling, Hong Yu, ZongKe Zhou","doi":"10.1302/2633-1462.611.BJO-2025-0137.R1","DOIUrl":"10.1302/2633-1462.611.BJO-2025-0137.R1","url":null,"abstract":"<p><strong>Aims: </strong>The reconstruction of Paprosky type III bone defects remains a challenge. Although biological fixation materials are currently dominant, cage continues to play a role in resource-poor settings. The aims of this study are to report the long-term follow-up survivorship of the combination of cage and morselized allograft in Paprosky type III bone defects and evaluate allografts' incorporation.</p><p><strong>Methods: </strong>We retrospectively analyzed 208 patients with Paprosky type III acetabular bone defects who underwent revision with a combination of cage and morselized allografts between January 2007 and January 2019. In total, 43 patients were followed up, with an mean follow-up of 10.6 years. There were 19 Paprosky type IIIA bone defect patients and 24 Paprosky type IIIB bone defect patients; seven patients of the 24 also had pelvic discontinuity (PD). Clinical assessment included Harris Hip Score (HHS) and 12-Item Short-Form Health Survey questionnaire (SF-12). Radiological assessment included cage stability, survivorship<u>,</u> and allograft incorporation.</p><p><strong>Results: </strong>There were two re-revisions, one at 5.1 years postoperatively, another at 13.6 years postoperatively. The calculated survival rate of cages was 97.7% at ten years (95% CI 84.6% to 99.7%) and 85.5% at 15 years (95% CI 42.6% to 97.1%), with clinical failure as the endpoint. The calculated survival rate of cages was 94.2% (95% CI 78.1% to 98.6%) at both ten years and 15 years, with radiological failure as the endpoint. Cage remained stable in 39 patients (90.7%), and the cage in two patients was classified as possibly loose at the last follow-up. Allografts of 40 cases (93%) incorporated fully. HHS and SF-12 showed significant improvement at the last follow-up compared to the preoperative value (p < 0.0<u>5</u>).</p><p><strong>Conclusion: </strong>The combination of cage and morselized allografts is an alternative option for acetabular revision with Paprosky type III bone defects, with a satisfactory ten-year clinical survivorship of 97.7% and radiological survivorship of 94.2%.</p>","PeriodicalId":34103,"journal":{"name":"Bone & Joint Open","volume":"6 11","pages":"1515-1522"},"PeriodicalIF":3.1,"publicationDate":"2025-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12638125/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145574738","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 : 2025-11-21DOI: 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}