Constructing a nomogram for the recurrence of tibial osteomyelitis after debridement surgery based on platelet to lymphocyte ratio at admission: a dual-center retrospective study from China.
{"title":"Constructing a nomogram for the recurrence of tibial osteomyelitis after debridement surgery based on platelet to lymphocyte ratio at admission: a dual-center retrospective study from China.","authors":"Rongbin Lu, Shaohuai Xia, Gaoyong Deng, Wencai Li, Zhao Huang, He Ling","doi":"10.1186/s12891-024-08106-5","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>To construction of a nomogram to predict the prognosis of patients with tibial osteomyelitis after debridement surgery.</p><p><strong>Method: </strong>This study used binary logistic regression analysis to identify clinical independent predictive factors, and then used R language to construct a nomogram.</p><p><strong>Result: </strong>The results showed that WBC (3.36[1.77-6.37])、LYM (0.29[0.15-0.54])、BAS (2.19[1.22-3.91])、FIB (0.27[0.14-0.54])、ALB (0.16[0.09-0.3])、TBIL (0.41[0.21-0.83])、D-Dimer (1.77[1.03-3.03])、CRP (0.43[0.2-0.91])、ESR (3.08[1.6-5.79]) and PLR (0.47[0.24-0.9]) were independent predictive factors. Good prediction performance with modest errors was shown by the nomogram in both the training and validation groups.</p><p><strong>Conclusion: </strong>WBC、LYM、BAS、FIB、ALB、TBIL、D-Dimer、CRP、ESR and PLR are independent predictors of the prognosis of patients with tibial osteomyelitis after debridement surgery. The constructed nomogram can help clinicians assess and treat patients early, benefiting more patients.</p>","PeriodicalId":9189,"journal":{"name":"BMC Musculoskeletal Disorders","volume":"25 1","pages":"967"},"PeriodicalIF":2.2000,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Musculoskeletal Disorders","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12891-024-08106-5","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0
Abstract
Aim: To construction of a nomogram to predict the prognosis of patients with tibial osteomyelitis after debridement surgery.
Method: This study used binary logistic regression analysis to identify clinical independent predictive factors, and then used R language to construct a nomogram.
Result: The results showed that WBC (3.36[1.77-6.37])、LYM (0.29[0.15-0.54])、BAS (2.19[1.22-3.91])、FIB (0.27[0.14-0.54])、ALB (0.16[0.09-0.3])、TBIL (0.41[0.21-0.83])、D-Dimer (1.77[1.03-3.03])、CRP (0.43[0.2-0.91])、ESR (3.08[1.6-5.79]) and PLR (0.47[0.24-0.9]) were independent predictive factors. Good prediction performance with modest errors was shown by the nomogram in both the training and validation groups.
Conclusion: WBC、LYM、BAS、FIB、ALB、TBIL、D-Dimer、CRP、ESR and PLR are independent predictors of the prognosis of patients with tibial osteomyelitis after debridement surgery. The constructed nomogram can help clinicians assess and treat patients early, benefiting more patients.
期刊介绍:
BMC Musculoskeletal Disorders is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of musculoskeletal disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
The scope of the Journal covers research into rheumatic diseases where the primary focus relates specifically to a component(s) of the musculoskeletal system.