{"title":"根据入院时血小板与淋巴细胞比值构建清创手术后胫骨骨髓炎复发的提名图:一项来自中国的双中心回顾性研究。","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":"{\"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}","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
摘要
目的:构建预测胫骨骨髓炎患者清创术后预后的提名图:方法:本研究采用二元逻辑回归分析确定临床独立预测因素,然后使用 R 语言构建提名图:结果显示: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-二聚体(1.77[1.03-3.03])、CRP(0.43[0.2-0.91])、ESR(3.08[1.6-5.79])和PLR(0.47[0.24-0.9])是独立的预测因素。在训练组和验证组中,提名图均显示出良好的预测性能,误差不大:结论:WBC、LYM、BAS、FIB、ALB、TBIL、D-二聚体、CRP、ESR 和 PLR 是胫骨骨髓炎患者清创术后预后的独立预测因子。所构建的提名图有助于临床医生对患者进行早期评估和治疗,使更多患者受益。
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.
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.