Literature DB >> 22713513

The clinical diagnostic significance of cerebrospinal fluid D-lactate for bacterial meningitis.

Zengqiang Chen1, Yumin Wang, Aibing Zeng, Lijiang Chen, Ruihao Wu, Bicheng Chen, Mengquan Chen, Jinshuang Bo, Hu Zhang, Qian Peng, Jianxin Lu, Qing H Meng.   

Abstract

BACKGROUND: To study the clinical and laboratory significance of D‐lactate in the diagnosis of bacterial meningitis (BM).
METHODS: The levels of D‐lactate, L‐lactate, IL-6, IL-8, and other biochemical markers were determined in 83 CSF samples from different types of meningitis and the controls.
RESULTS: The CSF values of D‐lactate, L‐lactate, IL-6, IL-8, erythrocytes, leukocytes, and protein were higher in patients with BM than those in the controls and patients with viral meningitis. The levels of D‐lactate, L‐lactate, IL-6, and erythrocytes in the BM group were higher than those in the tuberculous meningitis group. At the cutoff 12.8 μmol/l, D‐lactate showed the diagnostic sensitivity of 94.7%. D‐lactate gave the area under the curve (AUC) 0.905, which was higher than those of other markers. Using multiple marker detection, the AUC reached 0.956, which was the highest among all the parameters. Pearson correlation analysis revealed that D‐lactate was positively correlated to IL-6 and L‐lactate (r=0.727, 0.789 and P=0.000, 0.000, respectively).
CONCLUSIONS: THE CSF concentrations of D‐lactate are significantly increased in the presence of BM. Measurement of D‐lactate provides a rapid diagnosis and differential diagnosis for BM. Combination of D‐lactate with other biochemical markers improves the specificity.
Copyright © 2012 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22713513     DOI: 10.1016/j.cca.2012.06.018

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  8 in total

1.  Diagnostic performance of interleukin-6 and interleukin-8 for bacterial meningitis: a meta-analysis.

Authors:  Rong Yao; Yu Cao; Yao Chen; Zhi Zeng
Journal:  Int J Clin Exp Med       Date:  2015-05-15

2.  Diagnostic Usefulness of Cytokine and Chemokine Levels in the Cerebrospinal Fluid of Patients with Suspected Tuberculous Meningitis.

Authors:  Ji-Soo Kwon; Joung Ha Park; Ji Yeun Kim; Hye Hee Cha; Min-Jae Kim; Yong Pil Chong; Sang-Oh Lee; Sang-Ho Choi; Yang Soo Kim; Jun Hee Woo; Yong Seo Koo; Sang-Beom Jeon; Sang-Ahm Lee; Sung-Han Kim
Journal:  Am J Trop Med Hyg       Date:  2019-08       Impact factor: 2.345

3.  L-lactate in cerebrospinal fluid can be used as a biomarker of encephalitis in cattle.

Authors:  Juliana M Curti; Gustavo R Queiroz; Priscilla F V Pereira; Mayara C Anjos; Karina K M C Flaiban; Júlio A N Lisbôa
Journal:  Can J Vet Res       Date:  2020-04       Impact factor: 1.310

Review 4.  Diagnosing Periprosthetic Joint Infection: a Scoping Review.

Authors:  Aaron Gazendam; Thomas J Wood; Daniel Tushinski; Kamal Bali
Journal:  Curr Rev Musculoskelet Med       Date:  2022-04-04

5.  Diagnostic accuracy of cerebrospinal fluid lactate in confirmed cases of acute bacterial meningitis in children.

Authors:  Hina Nasir; Muhammad Faheem Afzal; Muhammad Haroon Hamid; Akmal Laeeq
Journal:  Pak J Med Sci       Date:  2020 Nov-Dec       Impact factor: 1.088

Review 6.  Host Biomarkers for Distinguishing Bacterial from Non-Bacterial Causes of Acute Febrile Illness: A Comprehensive Review.

Authors:  Anokhi J Kapasi; Sabine Dittrich; Iveth J González; Timothy C Rodwell
Journal:  PLoS One       Date:  2016-08-03       Impact factor: 3.240

7.  Serum D-lactate, a novel serological biomarker, is promising for the diagnosis of periprosthetic joint infection.

Authors:  Yanyang Chen; Huhu Wang; Xiyao Chen; Hairong Ma; Jingjie Zheng; Li Cao
Journal:  BMC Musculoskelet Disord       Date:  2022-03-26       Impact factor: 2.362

8.  Clinical features, Outcomes and Molecular Profiles of Drug Resistance in Tuberculous Meningitis in non-HIV Patients.

Authors:  Jingya Zhang; Xuejiao Hu; Xin Hu; Yuanxin Ye; Mengqiao Shang; Yunfei An; Haimei Gou; Zhenzhen Zhao; Wu Peng; Xingbo Song; Yanhong Zhou; Mei Kang; Yi Xie; Xuerong Chen; Xiaojun Lu; Binwu Ying; Lanlan Wang
Journal:  Sci Rep       Date:  2016-01-07       Impact factor: 4.379

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.