Xingyang Zhu1,2, Haitao Zhang1, Xiaobo Sun1, Yijin Li1, Jiahao Li1, Yuqing Zeng1, Peng Deng3, Xinyu Qi3, Jinlun Chen3, Pengcheng Ye3, Wenjun Feng3, Jie Li3, Jianchun Zeng3, Yirong Zeng4. 1. The First Clinical Medical School, Guangzhou University of Chinese Medicine, Jichang Road 12#, District Baiyun, Guangzhou, Guangdong, China. 2. Yichuan People's Hospital, Jiuchang Road 21#, District Yichuan, Luoyang, Henan, China. 3. Department of Orthopaedics, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Jichang Road 16#, District Baiyun, Guangzhou, 510405, Guangdong, China. 4. Department of Orthopaedics, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Jichang Road 16#, District Baiyun, Guangzhou, 510405, Guangdong, China. 15713973727@126.com.
Abstract
BACKGROUND: Fibrinogen (FIB) has recently been used as a biomarker to diagnose periprosthetic joint infection (PJI), but its reliability is still questionable. The aim of this study was to investigate the accuracy of FIB in the diagnosis of PJI after joint replacement. METHODS: We searched for literatures published in PubMed, EMBASE, and the Cochrane Library from the time of database inception to September 2020 and screened the studies according to the inclusion criteria. Then, we calculated the diagnostic parameters of FIB, including the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), area under the curve (AUC), and diagnostic odds ratio (DOR). In addition, we implemented subgroup analyses to identify the sources of heterogeneity. RESULTS: Seven studies including 1341 patients were selected in our meta-analysis. The pooled sensitivity, specificity, PLR, NLR, and DOR of FIB for PJI diagnosis were 0.78 (95% confidence interval [CI], 0.73-0.82), 0.83 (95% CI, 0.81-0.86), 4.60 (95% CI, 3.30-6.42), 0.24 (95% CI, 0.18-0.34), and 20.13 (95% CI, 14.80-27.36), respectively, while the AUC was 0.896. CONCLUSION: The present study indicated that FIB was a reliable detection method and might be introduced into the diagnostic criteria for PJI. However, more robust studies are still needed to confirm the current findings, because most of the included studies were retrospective and had small sample sizes.
BACKGROUND:Fibrinogen (FIB) has recently been used as a biomarker to diagnose periprosthetic joint infection (PJI), but its reliability is still questionable. The aim of this study was to investigate the accuracy of FIB in the diagnosis of PJI after joint replacement. METHODS: We searched for literatures published in PubMed, EMBASE, and the Cochrane Library from the time of database inception to September 2020 and screened the studies according to the inclusion criteria. Then, we calculated the diagnostic parameters of FIB, including the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), area under the curve (AUC), and diagnostic odds ratio (DOR). In addition, we implemented subgroup analyses to identify the sources of heterogeneity. RESULTS: Seven studies including 1341 patients were selected in our meta-analysis. The pooled sensitivity, specificity, PLR, NLR, and DOR of FIB for PJI diagnosis were 0.78 (95% confidence interval [CI], 0.73-0.82), 0.83 (95% CI, 0.81-0.86), 4.60 (95% CI, 3.30-6.42), 0.24 (95% CI, 0.18-0.34), and 20.13 (95% CI, 14.80-27.36), respectively, while the AUC was 0.896. CONCLUSION: The present study indicated that FIB was a reliable detection method and might be introduced into the diagnostic criteria for PJI. However, more robust studies are still needed to confirm the current findings, because most of the included studies were retrospective and had small sample sizes.
Authors: Atul F Kamath; Kevin L Ong; Edmund Lau; Vanessa Chan; Thomas P Vail; Harry E Rubash; Daniel J Berry; Kevin J Bozic Journal: J Arthroplasty Date: 2015-03-31 Impact factor: 4.757
Authors: Douglas R Osmon; Elie F Berbari; Anthony R Berendt; Daniel Lew; Werner Zimmerli; James M Steckelberg; Nalini Rao; Arlen Hanssen; Walter R Wilson Journal: Clin Infect Dis Date: 2013-01 Impact factor: 9.079