{"title":"Nomogram to predict periprosthetic joint infection after total hip arthroplasty using laboratory tests.","authors":"Junzhe Lang, Zetao Dong, Boyuan Shi, Dongdong Wang, Jiandong Yuan, Lei Chen, Jianqing Gao, Anan Sun, Jiyue Huang, Zhiqiang Xue","doi":"10.1186/s10195-025-00833-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Periprosthetic joint infection (PJI) is a catastrophic complication after joint arthroplasty. This study aimed to analyze the relationship between laboratory tests and PJI and establish a nomogram for predicting risks of PJI after total hip arthroplasty (THA).</p><p><strong>Materials and methods: </strong>The clinical data of patients who underwent THA from January 2015 to December 2020 were retrospectively analyzed. Demographic and relevant clinical information of patients was collected; independent risk factors associated with PJI were determined by univariate and multivariate logistic regression analysis, and receiver operating characteristics (ROC) were drawn to analyze the specificity and sensitivity of each risk factor. Risk factors are included in the nomogram. Calibration curve and decision curve analysis were used to evaluate the predictive accuracy and discriminability of the model.</p><p><strong>Results: </strong>A total of 589 patients were enrolled in the study, of whom 87 were eventually diagnosed with PJI. Multivariate logistic regression analysis showed that serum C-reactive protein, erythrocyte sedimentation rate, polymorphonuclear neutrophils, D-dimer, and platelet count were independent risk factors for PJI after THA. The ROC curve analysis model of multivariate combined diagnosis had good diagnostic value, sensitivity was 77.01%, and specificity was 75.51%. The calibration curve shows good agreement between the prediction of the line graph and the actual observed results. The decision curve shows that the nomogram has a net clinical benefit.</p><p><strong>Conclusions: </strong>The changes in serum C-reactive protein, erythrocyte sedimentation rate, polymorphonuclear neutrophils, D-dimer, and platelet count are related to the occurrence of PJI after hip arthroplasty. The nomogram prediction model established in this study is promising for the screening of PJI after hip arthroplasty.</p><p><strong>Level of evidence: </strong>Level III evidence. Non-randomized controlled cohort/follow-up study.</p>","PeriodicalId":48603,"journal":{"name":"Journal of Orthopaedics and Traumatology","volume":"26 1","pages":"18"},"PeriodicalIF":3.0000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11923320/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Orthopaedics and Traumatology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s10195-025-00833-2","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Periprosthetic joint infection (PJI) is a catastrophic complication after joint arthroplasty. This study aimed to analyze the relationship between laboratory tests and PJI and establish a nomogram for predicting risks of PJI after total hip arthroplasty (THA).
Materials and methods: The clinical data of patients who underwent THA from January 2015 to December 2020 were retrospectively analyzed. Demographic and relevant clinical information of patients was collected; independent risk factors associated with PJI were determined by univariate and multivariate logistic regression analysis, and receiver operating characteristics (ROC) were drawn to analyze the specificity and sensitivity of each risk factor. Risk factors are included in the nomogram. Calibration curve and decision curve analysis were used to evaluate the predictive accuracy and discriminability of the model.
Results: A total of 589 patients were enrolled in the study, of whom 87 were eventually diagnosed with PJI. Multivariate logistic regression analysis showed that serum C-reactive protein, erythrocyte sedimentation rate, polymorphonuclear neutrophils, D-dimer, and platelet count were independent risk factors for PJI after THA. The ROC curve analysis model of multivariate combined diagnosis had good diagnostic value, sensitivity was 77.01%, and specificity was 75.51%. The calibration curve shows good agreement between the prediction of the line graph and the actual observed results. The decision curve shows that the nomogram has a net clinical benefit.
Conclusions: The changes in serum C-reactive protein, erythrocyte sedimentation rate, polymorphonuclear neutrophils, D-dimer, and platelet count are related to the occurrence of PJI after hip arthroplasty. The nomogram prediction model established in this study is promising for the screening of PJI after hip arthroplasty.
Level of evidence: Level III evidence. Non-randomized controlled cohort/follow-up study.
期刊介绍：
The Journal of Orthopaedics and Traumatology, the official open access peer-reviewed journal of the Italian Society of Orthopaedics and Traumatology, publishes original papers reporting basic or clinical research in the field of orthopaedic and traumatologic surgery, as well as systematic reviews, brief communications, case reports and letters to the Editor. Narrative instructional reviews and commentaries to original articles may be commissioned by Editors from eminent colleagues. The Journal of Orthopaedics and Traumatology aims to be an international forum for the communication and exchange of ideas concerning the various aspects of orthopaedics and musculoskeletal trauma.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
