Literature DB >> 32431207

Postoperative lymphocyte percentage and neutrophil-lymphocyte ratio are useful markers for the early prediction of surgical site infection in spinal decompression surgery.

Hiroyuki Inose1, Yutaka Kobayashi1, Masato Yuasa1, Takashi Hirai1, Toshitaka Yoshii1, Atsushi Okawa1.   

Abstract

PURPOSE: Although the neutrophil-lymphocyte ratio (NLR) is a simple biomarker for inflammation, its diagnostic value for predicting surgical site infection (SSI) after spinal decompression surgery has not been extensively investigated. We aimed to determine the predictive value of NLR for SSI in patients undergoing spinal decompression surgery.
METHODS: We performed a retrospective observational study of patients who underwent spinal decompression surgery. Consecutive 254 patients were divided into an SSI group and a non-SSI group based on the presence of SSI. We evaluated which markers, including NLR, differed significantly between groups. We then determined the diagnostic cutoff values of these markers for the prediction of SSI based on the significance in the univariate analysis.
RESULTS: The incidence of SSI was 7 of 254 patients (2.8%). Univariate analysis showed that there were significant differences in the C-reactive protein (CRP) level at 1 day postoperatively; neutrophil and lymphocyte percentage and NLR at 3-4 days postoperatively; and CRP level, white blood cell count, neutrophil count and percentage, lymphocyte percentage, and NLR at 6-7 days postoperatively between SSI and non-SSI groups. Among these markers, the cutoff values of lymphocyte percentage and NLR at 3-4 days postoperatively for the prediction of SSI were ≤15.1% and ≥4.91, respectively. The cutoff values of lymphocyte percentage and NLR at 6-7 days postoperatively were ≤19.8% and ≥3.21, respectively.
CONCLUSIONS: Lymphocyte percentage and NLR at 3-4 and 6-7 days postoperatively were useful markers for the early prediction of SSI in patients who had undergone spinal decompression surgery. These parameters may aid in identifying patients at higher risk of SSI after spinal decompression surgery.

Entities:  

Keywords:  biomarker; early prediction; lymphocyte; neutrophil; neutrophil–lymphocyte ratio; spinal decompression surgery; surgical site infection

Mesh:

Year:  2020        PMID: 32431207     DOI: 10.1177/2309499020918402

Source DB:  PubMed          Journal:  J Orthop Surg (Hong Kong)        ISSN: 1022-5536            Impact factor:   1.118


  5 in total

1.  The ımportance of ınflammatory parameters ın predıctıng deep sternal wound ınfectıons after open heart surgery.

Authors:  Kemal Parla; Ahmet Burak Tatli; Arda Aybars Pala; Mehmet Tugrul Goncu
Journal:  Rev Assoc Med Bras (1992)       Date:  2022-09       Impact factor: 1.712

2.  Preoperative lymphocyte percentage and neutrophil-lymphocyte ratio are useful predictors of 30-day postoperative complications after lumbar fusion.

Authors:  Temidayo Osunronbi; Balint Borbas; Hiba Lusta; Agbolahan Sofela; Himanshu Sharma
Journal:  Surg Neurol Int       Date:  2022-04-15

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.  Postoperative C-reactive protein as a predictive marker for surgical site infection after cesarean section: Retrospective analysis of 748 patients at a Japanese academic institution.

Authors:  Kazuko Miyazaki; Seung Chik Jwa; Eri Katayama; Shunsuke Tamaru; Osamu Ishihara; Yoshimasa Kamei
Journal:  PLoS One       Date:  2022-09-09       Impact factor: 3.752

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.