Literature DB >> 32345131

Circulating D-Dimer versus Fibrinogen in the Diagnosis of Peri-Prosthetic Joint Infection: A Meta-Analysis.

Qingyu Zhang1, Jinlei Dong1, Dongsheng Zhou1, Fanxiao Liu1.   

Abstract

Background: Circulating D-dimer and fibrinogen are both emerging as promising biomarkers for the diagnosis of peri-prosthetic joint infection (PJI), but their clinical values still remain disputable. This study aims to evaluate and compare the accuracy of circulating D-dimer and fibrinogen in the diagnosis of suspected PJI.
Methods: We conducted a comprehensive literature search in PubMed, EMBASE, and the Cochrane Library to retrieve diagnostic accuracy studies in which PJI was investigated with circulating D-dimer or fibrinogen from the time of database inception to August 1, 2019. The pooled sensitivity, specificity, likelihood ratios and diagnostic odds ratio (DOR), summary receiver operating characteristic (sROC) curves, and area under the sROC curve (AUC) were constructed using a meta-analysis framework.
Results: Seven eligible studies (1,374 patients) were included in the quantitative analysis. The mean levels of circulating D-dimer and fibrinogen were all significantly higher in patients with PJI. The plasma fibrinogen illustrated relatively higher sensitivity (0.84, 95% confidence interval [CI]: 0.78-0.98) and specificity (0.80, 95% CI: 0.76-0.84) than circulating D-dimer (0.74, 95% CI: 0.69-0.78; 0.66, 95% CI: 0.62-0.69, respectively) for the diagnosis of PJI. The pooled DOR of D-dimer, fibrinogen, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) to diagnose PJI was 7.00 (95% CI, 2.50-19.59), 12.40 (95% CI, 5.85 to 26.28), 10.71 (95% CI, 7.76 to 14.78) and 16.22 (95% CI 11.71-22.46), respectively, while the pooled AUC was 0.84 (95% CI, 0.77-0.90), 0.87 (95% CI, 0.85-0.89), 0.82 (95% CI, 0.78-0.85) and 0.87 (95% CI, 0.86-0.88), respectively. Conclusions: This meta-analysis reveals that it could be concluded that plasma fibrinogen is an excellent biomarker for diagnosing PJI, comparable to serum CRP and ESR, while the diagnostic value of circulating D-dimer is only moderate. Large-scale, prospective studies are still needed to confirm current findings.

Entities:  

Keywords:  D-dimer; fibrinogen; meta-analysis; peri-prosthetic joint infection

Year:  2020        PMID: 32345131     DOI: 10.1089/sur.2019.298

Source DB:  PubMed          Journal:  Surg Infect (Larchmt)        ISSN: 1096-2964            Impact factor:   2.150


  5 in total

1.  Different diagnostic performance of plasma fibrinogen and D-dimer in periprosthetic joint infection: a propensity score matched study.

Authors:  Xi Chen; Wenwei Qian; Xisheng Weng; Jin Lin; Jin Jin; Yiou Wang; Shibai Zhu
Journal:  BMC Musculoskelet Disord       Date:  2021-05-07       Impact factor: 2.362

2.  Reliability of circulating fibrinogen in the diagnosis of prosthesis-related infections: a systematic review and meta-analysis.

Authors:  Xingyang Zhu; Haitao Zhang; Xiaobo Sun; Yijin Li; Jiahao Li; Yuqing Zeng; Peng Deng; Xinyu Qi; Jinlun Chen; Pengcheng Ye; Wenjun Feng; Jie Li; Jianchun Zeng; Yirong Zeng
Journal:  J Orthop Surg Res       Date:  2021-01-09       Impact factor: 2.359

3.  The poor accuracy of D-dimer for the diagnosis of prosthetic joint infection but its potential usefulness in early postoperative infections following revision arthroplasty for aseptic loosening.

Authors:  M Fernandez-Sampedro; I Sanlés-González; C García-Ibarbia; N Fañanás-Rodríquez; M Fakkas-Fernández; M C Fariñas
Journal:  BMC Infect Dis       Date:  2022-01-27       Impact factor: 3.090

4.  Diagnostic accuracy of D-dimer in periprosthetic joint infection: a diagnostic meta-analysis.

Authors:  Haitao Zhang; Xiaobo Sun; Pengfei Xin; Xingyang Zhu; Ke Jie; Houran Cao; Wenjun Feng; Yuqing Zeng; Yan Lv; Jinlun Chen; Jie Li; Jianchun Zeng; Yirong Zeng
Journal:  J Orthop Surg Res       Date:  2020-08-17       Impact factor: 2.359

5.  The role of fibrinogen in predicting reinfection after DAIR for periprosthetic joint infections.

Authors:  Dacheng Zhao; Jinwen He; Xingwen Wang; Xiaobing Zhao; Yayi Xia; Bin Geng
Journal:  BMC Musculoskelet Disord       Date:  2021-05-24       Impact factor: 2.362

  5 in total

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