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Critical Care

, 23:21 | Cite as

Cerebrospinal fluid procalcitonin predicts Gram-negative bacterial meningitis in patients with empiric antibiotic pretreatment

  • Wen Li
  • Fang Yuan
  • Xiaolong Sun
  • Zhihan Zhao
  • Yaoyao Zhang
  • Wen JiangEmail author
Open Access
Letter

Keywords

Bacterial meningitis Gram-negative Procalcitonin Diagnostic biomarker 

Abbreviations

BM

Bacterial meningitis

CRP

C-reactive protein

CSF

Cerebrospinal fluid

N-ICU

Neurological intensive care unit

PCT

Procalcitonin

Dear Editor,

The identification of pathogenic bacteria facilitates better targeted treatments for bacterial meningitis (BM). However, early differentiation of Gram-positive and Gram-negative BM is a persisting challenge, especially in patients with empiric antibiotic pretreatment. Serum procalcitonin (PCT) was reported to be associated with Gram-negative bacterium in bloodstream infections [1]. Our previous study demonstrated that CSF-PCT was a superior diagnostic biomarker for BM even in patients who had received empiric antibiotic pretreatment [2]. In this study, we aimed to evaluate the discriminative power of CSF-PCT for Gram-negative BM.

Consecutive patients with BM [3] admitted to neurological intensive care unit (N-ICU) at Xijing Hospital between October 2013 and April 2018 were included in this study. A total of 225 patients with suspected meningitis/encephalitis were screened. One hundred fourteen patients with tuberculous meningitis or viral meningitis/encephalitis or autoimmune encephalitis and 21 patients with unknown etiology were excluded. Ninety patients were diagnosed with BM, among them, 59 had definite pathogenic bacteria identified by CSF culture and Gram stain: 33 (56%) patients were Gram-positive, and 26 (44%) patients were Gram-negative (Additional file 1: Figure S1). Of these 59 patients, 25 (42%) cases were community-acquired and 34 (58%) cases were nosocomial BM (Additional file 1: Table S1). Bacterial etiologies were presented in Additional file 1: Table S2. All the participants had empiric antibiotic pretreatments before admission to our N-ICU. Demographics, severity, clinical characteristics, treatments, and the time from CSF-PCT test to onset of BM were balanced in Gram-positive group and Gram-negative group (Additional file 1: Table S3). The CSF-PCT level of Gram-negative patients was significantly higher than that of Gram-positive patients (0.5 [0.2–1.6] versus 0.1 [0.1–0.3] ng/ml, p < 0.001) (Table 1, Fig. 1). There were no significant differences of other biomarkers between Gram-positive and Gram-negative group (Additional file 1: Figure S2). CSF-PCT yielded an area under the curve (AUC) of 0.85 (95% CI, 0.73 to 0.93), which was superior to serum PCT, CSF/serum C-reactive protein (CRP) (Fig. 1).
Table 1

CSF and serum data

 

Total (n = 59)

Gram-positive (n = 33)

Gram-negative (n = 26)

P value

CSF

 PCT, ng/mL

0.2 (0.1–0.5)

0.1 (0.1–0.3)

0.5 (0.2–1.6)

< 0.001

 Leukocyte, cells/mm3

230.0 (99.0–1790.0)

214.0 (105.5–1970.0)

237.5 (56.0–1870.0)

0.54

 Neutrophils, cells/mm3

154.1 (13.2–1432.0)

147.6 (7.0–1726.5)

165.0 (23.0–1768.9)

0.91

 Lymphocyte, cells/mm3

50.4 (20.1–114.7)

52.1 (17.4–150.6)

44.3 (23.3–100.5)

0.71

 Protein, g/L

1.6 (0.7–2.9)

1.6 (0.8–2.9)

1.6 (0.7–3.0)

0.95

 Glucose, mg/dL

53.3 (37.3–72.0)

54.0 (38.9–74.7)

48.9 (34.7–69.4)

0.29

 CRP, mg/L

0.3 (0.2–0.9)

0.3 (0.2–1.0)

0.3 (0.2–0.8)

0.82

 First pressure, cmH2O

157.5 (130.0–230.0)

150.0 (127.5–205.0)

180.0 (142.5–285.0)

0.12

 Last pressure, cmH2O

95.0 (70.0–130.0)

90.0 (70.0–128.8)

100.0 (72.5–167.5)

0.26

Serum

 PCT, ng/mL

0.6 (0.1–3.1)

0.4 (0.1–4.3)

0.8 (0.1–2.7)

0.61

 Leukocyte, cells/mm3

11.8 (7.8–14.9)

10.5 (7.0–14.6)

13.2 (9.4–15.0)

0.16

 Glucose, mg/dL

144.5 (120.6–173.8)

142.2 (117.9–175.1)

147.6 (128.5–169.7)

0.34

 CRP, mg/L

9.9 (2.2–59.3)

9.5 (2.0–52.9)

14.6 (2.3–68.0)

0.71

 Albumin, g/L

33.9 ± 4.4

33.1 ± 4.7

34.9 ± 4.0

0.13

CSF/serum ratio

 CSF/serum PCT ratio

0.7 (0.2–1.4)

0.7 (0.2–1.4)

0.7 (0.1–1.4)

0.75

 CSF/serum glucose ratio

0.4 (0.3–0.5)

0.4 (0.3–0.5)

0.3 (0.2–0.4)

0.08

The CSF and serum samples were collected on the same day. Continuous variables were expressed as mean ± standard deviation (normally distributed), as medians and interquartile ranges (IQR, not normally distributed), which were compared using the Student t test or Mann-Whitney U test. The CSF and serum samples were collected on the same day

CSF cerebrospinal fluid, PCT procalcitonin, CRP C-reactive protein

Fig. 1

Diagnostic value of CSF-PCT for Gram-negative BM. a Levels of CSF-PCT in Gram-negative and Gram-positive BM. The red lines and blue squares correspond to the group interquartile ranges and averages, respectively. **P < 0.001. b ROC curves of CSF/serum PCT, CSF/serum CRP for predicting Gram-negative BM. CSF-PCT: AUC = 0.85 (95% CI, 0.73 to 0.93); serum PCT: AUC = 0.56 (95% CI, 0.42 to 0.69); CSF-CRP: AUC = 0.56 (95% CI, 0.42 to 0.70); serum CRP: AUC = 0.53 (95% CI, 0.39 to 0.67). Comparisons of AUC: CSF-PCT vs serum PCT, P < 0.0001; CSF-PCT vs CSF-CRP, P = 0.0034; CSF-PCT vs serum CRP, P = 0.0005

The early identification for the pathogenic bacteria of BM is of great importance to the rational use of antibiotics. However, meningitis with a negative Gram stain poses a diagnostic and therapeutic dilemma, especially in developing countries like China [4]. CSF and serum CRP were previously indicated to be associated with Gram-negative BM [5], but in patients with empiric antibiotic pretreatment, they were not informative any more. Our study indicated that CSF-PCT was a more robust and superior diagnostic biomarker for Gram-negative BM, even in patients who had received empiric antibiotic pretreatment.

Notes

Acknowledgements

None.

Funding

Wen Jiang obtained funding from the National Natural Science Foundation of China (grant 81771406) and Wen Li obtained funding from the Science and Technology Development Project of Shaanxi Province (grant 2016SF-084) for this work.

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

WL, FY, XLS, ZHZ, and YYZ carried out the data collection and drafted the manuscript. WJ, WL, and FY participated in the design of the study and performed the statistical analysis. All authors read and approved the final manuscript.

Ethics approval and consent to participate

This study was based on a prospective non-interventional research on BM that registered in ClinicalTrials.gov (NCT02278016) and was approved by the ethics committee of Xijing Hospital (KY20140916-3). All procedures involving the patients complied with the ethical standards of the institutional and national research committees and with the 1975 Declaration of Helsinki and its later amendments.

Consent for publication

Yes.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary material

13054_2019_2318_MOESM1_ESM.doc (452 kb)
Additional file 1: Figure S1. Flow chart. Figure S2. Levels of CSF-PCT (a), serum PCT (b), CSF-CRP (c), serum PCT (d), CSF-leukocyte (e), and CSF-protein (f) in Gram-negative and Gram-positive BM. Table S1. Pathogens of patients with definite diagnoses of BM. Table S2. Type of BM. Table S3. Baseline characteristics. Table S4. Predictive performance of CSF-PCT in Gram-negative BM. (DOC 452 kb)

References

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    Li W, Sun X, Yuan F, Gao Q, Ma Y, Jiang Y, et al. Diagnostic accuracy of cerebrospinal fluid procalcitonin in bacterial meningitis patients with empiric antibiotic pretreatment. J Clin Microbiol. 2017;55:1193–204.CrossRefGoogle Scholar
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Copyright information

© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors and Affiliations

  • Wen Li
    • 1
  • Fang Yuan
    • 1
  • Xiaolong Sun
    • 2
  • Zhihan Zhao
    • 1
  • Yaoyao Zhang
    • 1
  • Wen Jiang
    • 1
    Email author
  1. 1.Department of Neurology, Xijing HospitalFourth Military Medical UniversityXi’anPeople’s Republic of China
  2. 2.Department of Rehabilitation Medicine, Xijing HospitalFourth Military Medical UniversityXi’anChina

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