Literature DB >> 31725684

Procalcitonin and Neutrophil Lymphocyte Ratio After Spinal Instrumentation Surgery.

Hiroyuki Inose1, Yutaka Kobayashi, Masato Yuasa, Takashi Hirai, Toshitaka Yoshii, Atsushi Okawa.   

Abstract

STUDY
DESIGN: This was a retrospective observational study.
OBJECTIVE: To assess the diagnostic value of procalcitonin (PCT) and neutrophil lymphocyte ratio (NLR) for predicting surgical site infection (SSI) in patients undergoing spinal instrumentation surgery, we analyzed a large consecutive cohort of patients who had undergone spinal instrumentation surgery. SUMMARY OF BACKGROUND DATA: Although PCT and NLR are commonly used as markers for bacterial infection, the diagnostic value of these factors for predicting SSI in the context of spinal instrumentation surgery has not been extensively investigated.
METHODS: We retrospectively investigated 242 patients who underwent spinal instrumentation surgery and evaluated the significance of various postoperative measures for predicting SSI, including PCT and NLR. We then determined the diagnostic cut-off values for these markers in the prediction of SSI using receiver operating characteristic curve analysis.
RESULTS: Among the 242 patients analyzed, 10 were diagnosed with infection. Even though univariate analysis showed that neutrophil percentage and NLR at 6 to 7 days postoperatively were significant predictors for SSI, PCT at 6 to 7 days postoperatively did not differ significantly between the SSI and non-SSI groups. The cut-off value used for neutrophil percentage at 6 to 7 days postoperatively was more than 69.0% [sensitivity, 80.0%; specificity, 70.0%; area under the curve, 0.737]. The cut-off value used for NLR at 6 to 7 days postoperatively was 3.87 (sensitivity, 70.0%; specificity, 73.2%; area under the curve, 0.688).
CONCLUSION: Neutrophil percentage and NLR at 6 to 7 days postoperatively were more useful markers than PCT at 6 to 7 days postoperatively for early prediction of SSI in patients who had undergone spinal instrumentation surgery. Therefore, routine use of PCT as a predictor of postoperative infection is not supported by the results of this study. LEVEL OF EVIDENCE: 4.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31725684     DOI: 10.1097/BRS.0000000000003157

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  5 in total

1.  Pre-surgical peripheral blood inflammation markers predict surgical site infection following mesh repair of groin hernia.

Authors:  Yeye Zhuo; Juntian Chen; Qian Zhang; Xinxin Li
Journal:  Medicine (Baltimore)       Date:  2021-03-05       Impact factor: 1.817

2.  Predictive values of the postoperative neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio for the diagnosis of early periprosthetic joint infections: a preliminary study.

Authors:  Guanglei Zhao; Jie Chen; Jin Wang; Siqun Wang; Jun Xia; Yibing Wei; Jianguo Wu; Gangyong Huang; Feiyan Chen; Jingsheng Shi; Jinyang Lyu; Changquan Liu; Xin Huang
Journal:  J Orthop Surg Res       Date:  2020-11-30       Impact factor: 2.359

3.  Temporal Evolution of White Blood Cell Count and Differential: Reliable and Early Detection Markers for Surgical Site Infection Following Spinal Posterior Decompression Surgery.

Authors:  Eiichiro Iwata; Hideki Shigematsu; Yusuke Yamamoto; Masaki Ikejiri; Akinori Okuda; Takuya Sada; Yuki Ueno; Hiroshi Nakajima; Munehisa Koizumi; Yasuhito Tanaka
Journal:  Spine Surg Relat Res       Date:  2021-11-04

4.  Early Clinical and Radiographic Outcomes of Robot-Assisted Versus Conventional Manual Total Knee Arthroplasty: A Randomized Controlled Study.

Authors:  Jiazheng Xu; Liangliang Li; Jun Fu; Chi Xu; Ming Ni; Wei Chai; Libo Hao; Guoqiang Zhang; Jiying Chen
Journal:  Orthop Surg       Date:  2022-07-18       Impact factor: 2.279

5.  Changes in Invasiveness and Latent Infection Rate Associated with Switching the Approach in Total Hip Replacement.

Authors:  Hiroaki Kijima; Kenji Tateda; Shin Yamada; Satoshi Nagoya; Masashi Fujii; Ima Kosukegawa; Tetsuya Kawano; Naohisa Miyakoshi; Toshihiko Yamashita; Yoichi Shimada
Journal:  Clin Med Insights Arthritis Musculoskelet Disord       Date:  2021-07-13
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.