Epidemiological Characteristics and Drug Resistance Analysis of Cerebrospinal Fluid Microbial Infections in Wenzhou Area.

OBJECTIVE: Central nervous system infections (CNSI) are serious diseases that endanger human health. Identifying pathogens and their susceptibility to antibiotics, and promptly using antibiotics under this guidance is essential for treatment. The purpose of this study is to investigate the pathogen characteristics of CNSI patients, which can help clinicians choose appropriate empiric antibiotic .
METHODS: We retrospectively collected data on CNSI patients with cerebrospinal fluid (CSF) culture positive from 2012 to 2020, including demographic characteristics, laboratory data, pathogenic bacteria, and antimicrobial susceptibility test results.
RESULTS: A total of 166 patients with 168 isolates out of 8188 patients were available for data analysis. Among the isolates, Gram-positive bacteria, Gram-negative bacteria and fungi accounted for 59.5%, 36.3%, and 4.2%, respectively. Among newborns, children under 12, and patients over 12, the most isolated strains were Streptococcus agalactiae (24/46, 52.2%), Streptococcus pneumoniae (21/68, 30.9%) and Staphylococcus epidermidis (10/54, 18.5%), respectively. Streptococcus agalactiae is more sensitive to linezolid and vancomycin. Streptococcus pneumoniae is more sensitive to vancomycin. Staphylococcus epidermidis is more sensitive to clindamycin and rifampicin. The sugar content in the CSF of Gram-negative bacteria of children ≤12 years old was significantly lower than that of Gram-positive bacteria (P<0.05).
CONCLUSION: We comprehensively studied the etiological characteristics and antimicrobial resistance patterns of positive cerebrospinal fluid cultures in Wenzhou City, Zhejiang Province from 2012 to 2020, which can provide valuable strategies for preventing pathogens and improving evidence-based treatment.

Introduction

Central nervous system infection is one of the common clinical infectious diseases, which are mostly caused by pathogens invading the brain and spinal cord. According to the different infection pathogens, they can be divided into bacteria, viruses, fungi, tuberculosis, parasites and other causes. Compared with viruses and other pathogens, bacteria cause more infections in the central nervous system. In addition, many cases of acute infection occur in a flash, with rapid progress and high mortality.1–3 Therefore, the correct diagnosis and prompt use of antimicrobial therapy are crucial to the prognosis.

Cerebrospinal fluid (CSF) is a colorless and transparent liquid, filling with various cerebral ventricles, subarachnoid spaces and central canal of spinal cord, providing nutrients and signaling molecules and clearing out toxic by-products from the brain.4 When suffering from a series of serious central system diseases such as meningitis, central system infection and radicular lesion, the bacterial culture results of cerebrospinal fluid are positive. Therefore, the results of cerebrospinal fluid bacterial culture can provide a basis for early diagnosis of the disease.

However, in recent years, the epidemiological studies on positive cerebrospinal fluid bacterial culture in Wenzhou have not been well characterized. At the same time, there are few reports regarding the antibiotic resistance patterns of prevalent bacteria in this area. Therefore, we comprehensively studied the etiological characteristics and antimicrobial resistance patterns of positive cerebrospinal fluid cultures in Wenzhou City, Zhejiang Province, from 2012 to 2020, which can provide valuable strategies for preventing pathogens and improving evidence-based treatment.

Objects and Methods

General Information

A total of 8188 cerebrospinal fluid samples were collected in the Second Affiliated Hospital of Wenzhou Medical University from 2012 to 2020, of which 166 cases were positive. The study was approved by the Ethical Committee of the Second Affiliated Hospital of Wenzhou Medical University (Approval No: 2021-K-11-01). Written informed consent of patients under 18 years old was obtained from the parents or legal guardians, and this study was conducted in accordance with the Declaration of Helsinki.

Cerebrospinal Fluid Collection and Routine Detection

For children with clinically suspected central nervous system infection, 2–3 mL CSF was collected under strict sterile operation in three tubes, and sent for routine, biochemical and microbiological tests within 1 hour. The cerebrospinal fluid cells were counted by the Neubauer counting chamber, and the nucleated cells were classified by the Wright-Giemsa staining. The content of glucose and chloride in the cerebrospinal fluid was detected using a DRY-CHEM7000 biochemical analyzer. The protein content of Cerebrospinal fluid was detected using an ADVIA2400 biochemical analyzer. The determination was carried out in strict accordance with the operation manual and SOP, and the internal quality control was within the acceptable range.

Culture and Identification of Cerebrospinal Fluid

The cerebrospinal fluid was centrifuged at 3000 r/min in the microbiology laboratory, and the supernatant was discarded. The sediment was inoculated on Columbia blood plate, chocolate plate, and sand-weak plate, respectively, and incubated in an incubator for 24–72 h to observe the results. If the sample was positive, the pathogenic bacteria were isolated and cultured. If negative, reported aseptic growth. The bacterial strains were isolated and cultured in accordance with the National Operating Procedures for Clinical Testing, and the bacteria were identified by MALDI BioTyper® (MBT) automatic rapid microbial mass spectrometer.

Drug Sensitive Test

Automated drug sensitivity system test: The minimum inhibitory concentration (MIC) was detected according to the operating requirements of VITEK 2 compact, Walk-Away and fungal drug sensitivity and the matching drug sensitivity card. K-B disk diffusion method: The diameter of antibacterial ring was measured with vernier caliper, and the results were interpreted according to the interpretation standard. The standards were subject to the National Operating Procedures for Clinical Examination and the Standards for Antimicrobial Susceptibility Test issued by CLSI (Clinical and Laboratory Standards Institute).

Statistical Analysis

Data processing and analysis were performed using SPSS 26.0 (SPSS Inc., Chicago, IL, USA). If the measurement data obeyed the normal distribution, they were expressed in the form of mean ± standard deviation. The difference between two groups was compared by t-test and the differences among three groups were compared by analysis of variance. If data did not obey the normal distribution, median and upper and lower quartiles were used for expression. The Mann–Whitney U-test was used to compare differences between two groups, and the Kruskal–Wallis H-test was used to compare differences among three groups. The count data were expressed in terms of the number of cases and the composition ratio, and the composition ratio of two or more groups was compared using the chi-squared test. P <0.05 indicated that the difference was statistically significant.

Results

Epidemiological Survey of Pathogens in Cerebrospinal Fluid from January 2012 to October 2020

A total of 8188 cerebrospinal fluid samples were collected from patients in the Second Affiliated Hospital of Wenzhou Medical University in 9 years, of which 166 were positive. Two pathogens were simultaneously detected in two patient specimens, so a total of 168 pathogens were detected. Men accounted for 56% and women accounted for 44%. The positive results of cerebrospinal fluid culture were mainly in children less than 12 years old, accounting for 40.5% of the culture positive results. Meanwhile, the positive results were the most in spring (March–May) (53 cases, 31%) and the least in autumn (September–November) (35 cases, 20.8%), as shown in Table 1. In recent years, the positive results of cerebrospinal fluid culture showed a fluctuating upward trend, 17 cases in 2012; 8 cases in 2013; 16 cases in 2014; 6 cases in 2015; 20 cases in 2016; 31 cases in 2017; 28 cases in 2018; 24 cases in 2019; 18 cases in 2020 (Figure 1). According to the distribution of clinical symptoms in patients with positive cerebrospinal fluid culture, we found that patients with meningitis had higher cerebrospinal fluid positive culture results (105/168), most of them had purulent meningitis (95/105), and a few were fungal meningitis, viral meningitis and other various meningitis; Meanwhile, positive cerebrospinal fluid culture may appear in symptoms such as intracranial hemorrhage and hydrocephalus (Figure 2).

Table 1

Positive Profile of Cerebrospinal Fluid Culture Results

Character	rouping	Cases (n)	Ratio (%)
Gender	Male	94	56.0
	Female	74	44.0
Age	Newborn (≤28 days)	46	27.4
	≤12 years old	68	40.5
	> 12 years old	54	32.1
Season	Spring (March-May)	52	31.0
	Summer (June-August)	42	25.0
	Autumn (September-November)	35	20.8
	Winter (December-February)	39	23.2

Figure 1

Time distribution diagram of culture positive result.

Figure 2

Composite pie chart of clinical symptoms of patients with positive cerebrospinal fluid culture.

The main prevalent microorganisms isolated in cerebrospinal fluid culture-positive specimens were Streptococcus agalactiae (19.0%), Escherichia coli (13.7%), Streptococcus pneumoniae (13.7%), Staphylococcus epidermidis (13.1%), and Klebsiella pneumoniae (6.0%). In newborns (≤28 days), Streptococcus agalactiae was the most commonly isolated bacterium from cerebrospinal fluid (24/46, 52.2%), followed by Escherichia coli (12/46, 26.1%); However, in children under 12 years of age, the most common isolates were Streptococcus pneumoniae (21/68, 30.9%), followed by Escherichia coli (10/68, 14.7%), Staphylococcus epidermidis (9/68, 13.2%), and Streptococcus agalactiae (8/68, 11.8%); Furthermore, in patients older than 12 years, Staphylococcus epidermidis (10/54, 18.5%) was the most common, followed by Klebsiella pneumoniae (6/54, 11.1%). In addition, Cryptococcus neoformans (3.6%) is the most common fungus isolated from culture-positive samples of cerebrospinal fluid, as shown in Table 2.

Table 2

Detection of Cerebrospinal Fluid Pathogen in Different Sex, Age and Season

Pathogen Name	Number of Strains (n=168)	Gender				Age (Years Old)					Season
		Male (n=94)	Female (n=74)	Chi-Square Value	P value	Newborns (n=46)	≤12 (n=68)	>12 (n=54)	Chi-Square Value	P value	Spring (n=52)	Summer (n=42)	Autumn (n=35)	Winter (n=39)	Chi-Square Value	P value
G- bacteria	61 (36.3)	34 (36.2)	27 (36.5)	0.002	0.966	16 (34.8)	19 (27.9)	26 (48.1)	5.378	0.068	19 (36.5)	15 (35.7)	16 (45.7)	11 (28.2)	2.454	0.484
Escherichia coli	23 (13.7)	13 (13.8)	10 (13.5)	0.004	0.953	12 (26.1)	10 (14.7)	1 (1.9)	12.447	0.002	10 (19.2)	6 (14.3)	3 (8.6)	4 (10.3)	2.529	0.470
Klebsiella pneumoniae	10 (6.0)	6 (6.4)	4 (5.4)	0.090	0.764	2 (4.3)	2 (2.9)	6 (11.1)	3.421	0.183	1 (1.9)	1 (2.4)	6 (17.1)	2 (5.1)	7.882	0.026
Acinetobacter baumannii	7(4.2)	4 (4.3)	3 (4.1)	0.004	1.000	0	1 (1.5)	6 (11.1)	7.711	0.008	3 (5.8)	2 (4.8)	0	2 (5.1)	2.057	0.591
Enterobacter cloacae	5 (3.0)	2 (2.1)	3 (4.1)	0.532	0.655	1 (2.2)	3 (4.4)	1 (1.9)	0.766	0.736	2 (3.8)	3 (7.1)	0	0	3.805	0.198
Enterobacter aerogenes	2 (1.2)	2 (2.1)	0	–	–	0	0	2 (3.7)	-	-	0	0	2 (5.7)	0	-	-
Agaricus pseudomonas	2 (1.2)	0	2 (2.7)	–	–	0	0	2 (3.7)	–	–	2 (3.8)	0	0	0	–	–
Pseudomonas aeruginosa	2 (1.2)	1 (1.1)	1 (1.4)	–	–	0	0	2 (3.7)	–	–	0	1 (2.4)	1 (2.9)	0	–	–
Salmonella Group B	1 (0.6)	1 (1.1)	0	–	–	0	1 (1.5)	0	–	–	0	0	1 (2.9)	0	–	–
Klebsiella oxytoca	1 (0.6)	0	1 (1.4)	–	–	0	0	1 (1.9)	–	–	1 (1.9)	0	0	0	–	–
Golden Bacillus producing indole	1 (0.6)	1 (1.1)	0	–	–	0	0	1 (1.9)	–	–	0	0	1 (2.9)	0	–	–
Pseudomonas flavescens	1 (0.6)	0	1 (1.4)	–	–	0	1 (1.5)	0	–	–	0	0	1 (2.9)	0	–	–
Moraxella catarrhalis	1 (0.6)	0	1 (1.4)	–	–	0	0	1 (1.9)	–	–	0	1 (2.4)	0	0	–	–
Flavobacterium septicum meningitidis	1 (0.6)	0	1 (1.4)	–	–	1 (2.2)	0	0	–	–	0	1 (2.4)	0	0	–	–
Neisseria meningitidis	1 (0.6)	1 (1.1)	0	–	–	0	1(1.5)	0	–	–	0	0	0	1 (2.6)	–	–
Proteus mirabilis	1 (0.6)	1 (1.1)	0	–	–	0	0	1 (1.9)	–	–	0	0	1 (2.9)	0	–	–
Burkholderia cepacia	1 (0.6)	1 (1.1)	0	–	–	0	0	1 (1.9)	–	–	0	0	0	1 (2.6)	–	–
Serratia marcescens	1 (0.6)	1 (1.1)	0	–	–	0	0	1 (1.9)	–	–	0	0	0	1 (2.6)	–	–
G+ bacteria	100 (59.5)	58 (61.7)	42 (56.8)	0.420	0.517	30 (65.2)	47 (69.1)	23 (42.6)	9.642	0.008	31 (59.6)	25 (59.5)	19 (54.3)	25 (64.1)	0.738	0.864
Streptococcus agalactiae	32 (19.0)	11 (11.7)	21 (28.4)	7.468	0.006	24 (52.2)	8 (11.8)	0	47.782	<0.001	13 (25.0)	8 (19.0)	3 (8.6)	8 (20.5)	3.740	0.291
Streptococcus pneumoniae	23 (13.7)	16 (17.0)	7 (9.5)	2.004	0.157	0	21 (30.9)	2 (3.7)	28.863	<0.001	6 (11.5)	2 (4.8)	7 (20.0)	8 (20.5)	5.753	0.124
Staphylococcus epidermidis	22 (13.1)	16 (17.0)	6 (8.1)	2.890	0.089	3 (6.5)	9 (13.2)	10 (18.5)	3.143	0.208	3 (5.8)	11 (26.2)	3 (8.6)	5 (12.8)	9.413	0.024
Staphylococcus aureus	6 (3.6)	5 (5.3)	1 (1.4)	1.893	0.230	2 (4.3)	1 (1.5)	3 (5.6)	1.736	0.440	1 (1.9)	2 (4.8)	2 (5.7)	1 (2.6)	1.434	0.764
Enterococcus faecalis	3 (1.8)	2 (2.1)	1 (1.4)	–	–	0	2 (2.9)	1 (1.9)	–	–	1 (1.9)	1 (2.4)	0	1 (2.6)	–	–
Staphylococcus hominis	2 (1.2)	1 (1.1)	1 (1.4)	–	–	0	1 (1.5)	1 (1.9)	–	–	0	0	1 (2.9)	1 (2.6)	–	–
Staphylococci cephalus	2 (1.2)	1 (1.1)	1 (1.4)	–	–	0	0	2 (3.7)	–	–	2 (3.8)	0	0	0	–	–
Enterococcus gallinarum	1 (0.6)	1 (1.1)	0	–	–	0	0	1 (1.9)	–	–	0	1 (2.4)	0	0	–	–
Staphylococci coli	1 (0.6)	0	1 (1.4)	–	–	0	1 (1.5)	0	–	–	1 (1.9)	0	0	0	–	–
Enterococcus urethrae	1 (0.6)	1 (1.1)	0	–	–	0	0	1 (1.9)	–	–	1 (1.9)	0	0	0	–	–
Streptococcus bovis	1 (0.6)	1 (1.1)	0	–	–	1 (2.2)	0	0	–	–	0	0	0	1 (2.6)	–	–
Streptococcus granulosus	1 (0.6)	1 (1.1)	0	–	–	0	1 (1.5)	0	–	–	1 (1.9)	0	0	0	–	–
Staphylococcus haemolyticus	1 (0.6)	0	1 (1.4)	–	–	0	1 (1.5)	0	–	–	0	0	1 (2.9)	0	–	–
Staphylococcus squirrels	1 (0.6)	1 (1.1)	0	–	–	0	0	1 (1.9)	–	–	0	0	1 (2.9)	0	–	–
Staphylococcus aureus Ureaplasma urealyticum subsp.	1 (0.6)	1 (1.1)	0	–	–	0	1 (1.5)	0	–	–	1 (1.9)	0	0	0	–	–
Staphylococcus cephalus subspecies cephalus	1 (0.6)	0	1 (1.4)	–	–	0	0	1 (1.9)	–	–	1 (1.9)	0	0	0	–	–
Pediococcus pentosaceus	1 (0.6)1	0	1 (1.4)	–	–	0	1 (1.5)	0	–	–	0	0	1 (2.9)	0	–	–
Fungus	7 (4.2)	2 (2.1)	5 (6.8)	2.222	0.136	0	2 (2.9)	5 (9.3)	4.888	0.069	2 (3.8)	2 (4.8)	0	3 (7.7)	2.660	0.463
Cryptococcus neoformans	6 (3.6)	1 (1.1)	5 (6.8)	3.896	0.088	0	1 (1.5)	5 (9.3)	3.905	0.087	1 (1.9)	2 (4.8)	0	3 (7.7)	1.789	0.378
Candida albicans	1 (0.6)	1 (1.1)	0	–	–	0	1 (1.5)	0	–	–	1 (1.9)	0	0	0	–	–

Further analysis of the significant differences in gender, age and season revealed that among G- bacteria, Escherichia coli was common under the age of 12 years, while Acinetobacter baumannii was common over the age of 12 years, and Klebsiella pneumoniae was common in autumn. For G+ bacteria, more women than men had Streptococcus agalactiae infection, and Streptococcus agalactiae was common in newborns, Streptococcus pneumoniae was common in patients under 12 years of age, at the same time, Staphylococcus epidermidis infection was common in summer.

Drug Resistance Analysis of Gram-Positive Pathogens in Cerebrospinal Fluid

The in vitro Gram-positive antimicrobial activities of the tested antibiotics are summarized in Table 3. Streptococcus agalactiae showed the highest sensitivity to linezolid and vancomycin, both 96.9%, while it showed strong resistance to erythromycin, clindamycin and tetracycline, with the sensitivity rates of 6.3%, 6.3% and 3.1%, respectively. Similar to Streptococcus agalactiae, Streptococcus pneumoniae also had the highest sensitivity to vancomycin, at 95.7%, followed by chloramphenicol, moxifloxacin, ertapenem, and amoxicillin (82.6%, 73.9%, 69.6%, 69.6%), and strong resistance to erythromycin, with the sensitivity rate of 4.3%. Different from Streptococcus agalactiae, Staphylococcus epidermidis showed high sensitivity to clindamycin (90.9%). At the same time, Staphylococcus epidermidis is also highly sensitive to rifampicin (86.4%). However, it was not sensitive to penicillin, and the sensitivity rate was only 9.1%.

Table 3

Summary of Gram-Positive Antibacterial Activity in vitro

Antibacterial Drug Name	Streptococcus mastitidis (n=32)			Streptococcus pneumoniae (n=23)			Staphylococcus epidermidis (n=22)
	S	R/I	M	S	R/I	M	S	R/I	M
Ampicillin	46.9	0	53.1	–	–	–	45.5	0	54.5
Ertapenem	–	–	–	69.6	0	30.4	–	–	–
Compound sulfamethoxazole	–	–	–	30.4	69.5	0	36.4	63.6	0
Erythromycin	6.3	15.6	78.1	4.3	95.7	0	45.5	54.5	0
Ciprofloxacin	–	–	–	–	–	–	63.6	36.4	0
Rifampin	–	–	–	–	–	–	86.4	13.6	0
Linezolid	96.9	0	3.1	69.6	0	30.4	–	–	–
Clindamycin hydrochloride	6.3	40.6	53.1	–	–	–	90.9	9.1	0
Chloromycetin	–	–	–	82.6	13.0	4.3	–	–	–
Meropenem	–	–	–	39.1	47.8	13.0	–	–	–
Moxifloxacin	40.6	3.1	56.3	73.9	0	26.1	–	–	–
Gentamicin	–	–	–	–	–	–	77.3	22.7	0
Tetracycline	3.1	46.9	50.0	17.4	82.6	0	–	–	–
Tigecycline	37.5	0	62.5	–	–	–	50.0	0	50.0
Penicillin	–	–	–	21.7	65.2	13.0	9.1	63.6	27.3
Penicillin other	–	–	–	26.1	0	73.9	–	–	–
Ceftriaxone	–	–	–	34.8	52.2	13.0	–	–	–
Ceftriaxone other	–	–	–	60.9	13.0	26.1	–	–	–
Cefotaxime	–	–	–	39.1	56.5	4.3	–	–	–
Cefotaxime other	–	–	–	56.5	17.4	26.1	–	–	–
Vancomycin	96.9	0	3.1	95.7	4.3	0	–	–	–
Ofloxacin	–	–	–	65.2	0	34.8	–	–	–
Levofloxacin	75.0	25.0	0	–	–	–	63.6	36.4	0
Amoxicillin	–	–	–	69.6	8.6	21.7	–	–	–
Telithromycin	–	–	–	73.9	0	26.1	–	–	–
Oxacillin	–	–	–	–	–	–	18.2	81.8	0
Clindamycin	–	–	–	–	–	–	68.2	0	31.8

Notes: To ensure the reliability of experimental results, we only performed resistance analysis on bacteria with the number of bacterial strains exceeding 10. S: Sensitivity; I: Intermediate; R: Resistance; M: Missing.

Drug Resistance Analysis of Gram-Negative Bacilli in Cerebrospinal Fluid

The in vitro Gram-negative antimicrobial activity of the tested antibiotics is summarized in Table 4. Escherichia coli has a high sensitivity of 95.7% to amikacin, imipenem, and piperacillin/tazobactam, and a low sensitivity of 17.4% to ampicillin and ampicillin. Klebsiella pneumoniae was 80% sensitive to levofloxacin and trimethoprim-sulfamethoxazole and 0% sensitive to ampicillin. At the same time, it showed good sensitivity to certain β-lactams such as imipenem, piperacillin/tazobactam, cephalosporins, and aztreonam.

Table 4

Summary of Gram-Negative Antibacterial Activity in vitro

Antibacterial Drug Name	Escherichia coli (n=23)			Klebsiella pneumoniae (n=10)
	S	R/I	M	S	R/I	M
Amoxicillin/clavulanic acid	47.8	4.3	47.8	–	–	–
Ampicillin	17.4	82.6	0	0	50.0	50.0
Ertapenem	39.1	0	60.9	30.0	0	70.0
Compound sulfamethoxazole	26.1	69.6	4.3	80.0	20.0	0
Meropenem	47.8	4.3	47.8	40.0	10.0	50.0
Gentamicin	65.2	34.8	0	70.0	30.0	0
Ceftriaxone	43.5	52.2	4.3	50.0	50.0	0
Levofloxacin	34.8	60.9	4.3	80.0	20.0	0
Ampicillin/sulbactam	17.4	30.4	52.2	40.0	40.0	20.0
Aztreonam	69.6	30.4	0	70.0	30.0	0
Amikacin	95.7	4.3	0	50.0	10.0	40.0
Ceftazidime	73.9	26.1	0	70.0	30.0	0
Cefepime	73.9	26.1	0	70.0	30.0	0
Imipenem	95.7	4.3	0	70.0	30.0	0
Piperacillin/tazobactam	95.7	0	4.3	70.0	30.0	0
Cefotetan	39.1	0	60.9	30.0	20.0	50.0
Tobramycin	60.9	30.4	8.7	70.0	10.0	20.0

Notes: To ensure the reliability of experimental results, we only performed resistance analysis on bacteria with the number of bacterial strains exceeding 10. S: Sensitivity; I: Intermediate; R: Resistance; M: Missing.

Biochemical Detection of Positive Results of Cerebrospinal Fluid Culture

The biochemical indicators such as white blood cell count (10*6), red blood cell count (10*6), neutrophil ratio, lymphocyte ratio, cerebrospinal fluid glucose quantification, chloride and protein quantification in patients with positive culture results are summarized in Table 5. The results showed that there were no significant differences in white blood cells, red blood cell counts, protein counts, cerebrospinal fluid glucose counts, and chloride counts between G- bacteria-infected and G+ bacteria-infected CSF.

Table 5

Summary of CSF Index of Positive Culture Results

Indicator	Gram - Bacteria	Gram + Bacteria	Statistics	P value
White blood cell count (10*6)	1120.00 (192.50, 4130.00)	680.00 (144.00, 2700.00)	−1.254	0.210
Red blood cell count (10*6)	97.50 (10.00, 752.50)	90.00 (9.00, 565.00)	−0.019	0.985
Neutrophil ratio (%)	85 (69, 93)	80 (60, 91)	−1.567	0.117
Lymphocyte ratio (%)	14 (5, 30)	18 (8, 39)	−1.677	0.094
Glucose quantification (g/L)	1.67±1.09	1.83±1.15	−0.903	0.368
Chloride (mmol/L)	113.47±8.82	115.92±6.86	−1.839	0.069
Protein quantification (g/L)	2.68 (0.96, 4.26)	2.51 (1.05, 3.28)	−0.203	0.839

Through the analysis of patients in different age groups, we found that there was no significant difference in the above indicators of G- and G+ bacteria for patients old than 12 years old. While for patients younger than 12 years old, there is a significant difference in cerebrospinal fluid glucose quantification (p<0.05) (Tables 6 and 7). Therefore, the determination of cerebrospinal fluid glucose quantification can be used as an auxiliary judgment for G- or G+ bacterial infection in cerebrospinal fluid of children under 12 years old.

Table 6

Association of G- and G+ Bacteria with CSF Indices in Children (≤12 Years)

Indicator	Gram - Bacteria	Gram + Bacteria	Statistics	P value
White blood cell count (10*6)	1040.00 (215.00, 3400.00)	645.00 (152.25, 3150.00)	−0.633	0.527
Red blood cell count (10*6)	84 (68, 90)	79 (60, 92)	−0.377	0.706
Neutrophil ratio (%)	18 (7, 30)	18 (7, 37)	−0.626	0.531
Lymphocyte ratio (%)	1.43±0.97	1.70±1.09	−1.234	0.013
Glucose quantification (g/L)	111.40±9.31	115.21±6.24	−2.531	0.069
Chloride (mmol/L)	2.49 (1.03, 4.33)	2.76 (1.00, 3.28)	−0.033	0.974

Table 7

Association of G- and G+ Bacteria with CSF Indices in Adult (>12 Years)

Indicator	Gram - Bacteria	Gram + Bacteria	Statistics		P value
White blood cell count (10*6)	1200 (185, 557)	750 (101, 1835)	−1.279	0.201
Red blood cell count (10*6)	89 (71, 96)	82 (54, 88)	−1.841	0.066
Neutrophil ratio (%)	10 (4, 27)	18 (10, 52)	−1.749	0.080
Lymphocyte ratio (%)	1.97±1.18	2.30±1.28	−0.935	0.354
Glucose quantification (g/L)	116.18±7.47	118.41±8.39	−0.973	0.336
Chloride (mmol/L)	2.74 (0.94, 3.16)	1.74 (1.09, 3.12)	−0.549	0.583

Discussion

Central nervous system infection is one of the common clinical infectious diseases, which is characterized by acute onset, rapid progress, and high mortality.1–3 Cerebrospinal fluid (CSF) is a vital liquid, providing nutrients and signaling molecules, and clearing out toxic by-products from the brain.4 When the bacterial culture in the cerebrospinal fluid is positive, the patient may have a range of serious central system diseases, including meningitis, central system infections, and nerve root disease.

With the enhancement of bacterial resistance, despite the availability of new and powerful antibiotics, the mortality associated with neurological diseases, such as acute bacterial meningitis (ranging from 16% to 32%),5–9 central nervous system infection after surgery (8%)10 remains very high in some developing countries. In addition, according to the positive results of cerebrospinal fluid culture in recent years (Figure 1), the number of cerebrospinal fluid microbial infections has been shown a fluctuating upward trend in recent years, so it’s necessary to analyze the epidemiology and drug resistance of cerebrospinal fluid microbial infections.

In this study, Streptococcus agalactiae (19.0%), Escherichia coli (13.7%), Streptococcus pneumoniae (13.7%), Staphylococcus epidermidis (13.1%), and Klebsiella pneumoniae (6.0%) were the main prevalent microorganisms isolated from cerebrospinal fluid of Wenzhou patients from 2012 to 2020. Meanwhile, positive cerebrospinal fluid culture was most common in children less than 12 years old (including newborns), accounting for 67.9%, and it was common in spring, which might be related to the suitability of microbial growth and reproduction in the warm environment of Wenzhou in spring. In addition, further analysis revealed that E. coli and Streptococcus pneumoniae were common under the age of 12 years, and Acinetobacter baumannii was common over the age of 12 years. Staphylococcus epidermidis infection in patients was more common in summer, and Klebsiella pneumoniae infection was more common in autumn, which had certain reference significance for doctors to assist in the diagnosis of neurological symptoms and empirical treatment in patients. At the same time, Streptococcus agalactiae infection affects more women than men and is common in newborns. This is highly consistent with some studies showing that women are the only clear risk factor associated with Streptococcus agalactiae meningitis. Therefore, clinicians should pay adequate attention to the presence of Streptococcus agalactiae infection in female infants younger than eight months at birth.11

Our study identified Streptococcus agalactiae as the most prevalent pathogen, which was identified in 19.0% of isolates obtained from the patients included in this study. In addition, Streptococcus agalactiae is the most frequently isolated bacteria from cerebrospinal fluid in newborns (less than 28 days), which is consistent with the related research that Streptococcus agalactiae (GBS) disease is caused by ascending infection of settled mothers or transmission during vaginal delivery,12 and related research shows that the disease is more common in newborns whose mothers are not screened by GBS, and Intrapartum antibiotic prophylaxis (IAP) is an effective intervention measure to reduce the incidence of early-onset disease (EOD).13–15 Therefore, at present, the preventive measures of Streptococcus agalactiae should include prenatal GBS screening for women and antibiotic prophylaxis before and after delivery.16–18 Children or newborns with infection can be treated with antibiotics such as linezolid and vancomycin, and avoid using erythromycin, clindamycin, and tetracycline because Streptococcus agalactiae has a high resistance to them.

Like the epidemic bacterial infection in developing countries pointed out in relevant reports, E. coli is also prevalent in Wenzhou (13.7%).19 Amikacin, imipenem, and piperacillin/tazobactam can be used clinically, but ampicillin should be avoided.

The other most common bacteria in children under 12 years of age is Streptococcus pneumoniae (17.8%), which may be caused by the endogenous transmission of Streptococcus pneumoniae from the nasopharynx to the meninges, especially in the dry season, the nasopharynx is prone to crack and damage, especially for children with immature nasopharynx.20 This is in line with the seasonal distribution of positive results of cerebrospinal fluid separation– most in spring, because spring is relatively dry, which provides the best conditions for destroying mucosal defenses, which then leads to an increase in the number of cases of Streptococcus pneumoniae infection. Considering the adverse effects of drugs, vancomycin or chloramphenicol can be used for severe patients with Streptococcus pneumoniae infection, and β-lactam antibiotics such as ertapenem and amoxicillin can be used as far as possible for mild patients owning to their efficacy and less adverse effects, and avoid the use of erythromycin for treatment. Staphylococcus epidermidis (13.1%) is the most common bacteria in children over 12 years old. We think that clindamycin and rifampicin can be used for clinical treatment, but penicillin is not recommended for treatment. Another common bacterium is Klebsiella pneumoniae, which is highly sensitive to synthetic antibiotics-levofloxacin and compound sulfamethoxazole, both of which are 80%, but highly resistant to ampicillin, with a sensitivity rate of 0. At the same time, it is sensitive to some β-lactams such as imipenem, piperacillin/tazobactam, cephalosporins, and aztreonam. The most common fungus is Cryptococcus neoformans, a kind of opportunistic yeast, which exist all over the world and interacts with various organisms. In humans, it causes cryptococcosis, a deadly invasive fungal infection that represents approximately 220,000 cases worldwide each year.21 Therefore, it is necessary for emergency treatment if suffering from cryptococcal infection.

Based on the biochemical indexes of cerebrospinal fluid, we found that white blood cell count, red blood cell count, and protein quantitation in cerebrospinal fluid are increased in patients with positive culture results, which was due to inflammatory reaction caused by microbial infection, white blood cells were attracted by chemokines. At the same time, most patients with positive culture have symptoms of intracranial hemorrhage, so red blood cell count and protein quantitation increase. Some literatures show that there are statistical differences in cell count and protein quantitation between Gram-positive bacteria and Gram-negative bacteria (P<0.05).22 However, we only found a significant difference in sugar quantification between Gram-positive and Gram-negative bacteria in the cerebrospinal fluid of patients under 12 years of age (P<0.05), which is different from the previous results.

In conclusion, this study investigated the patients with positive culture of cerebrospinal fluid in Wenzhou, excluded the patients with negative culture results, and obtained the epidemiological characteristics and drug resistance of microbial infection in Wenzhou. Streptococcus agalactiae is common in newborns. Streptococcus pneumoniae is common in children under 12 years old. Staphylococcus epidermidis is common in patients over 12 years old. Streptococcus agalactiae has certain drug resistance to macrolides, tetracyclines and lincomycin, and is highly sensitive to vancomycin and linezolid. However, the latter two have serious adverse reactions. Linezolid may cause pseudomembranous colitis and optic neuropathy.23–25 Vancomycin has severe nephrotoxicity and ototoxicity. Unfortunately, these adverse reactions are more sensitive to newborns who are susceptible to Streptococcus agalactiae. Therefore, the prospect of treating Streptococcus agalactiae infection in Wenzhou is worrying. Therefore, there is an urgent need to produce new drugs for pregnant women and pay attention to IAP to reduce the infection of neonatal Streptococcus agalactiae. Similar to Streptococcus agalactiae, although Streptococcus pneumoniae has the highest sensitivity to vancomycin or chloramphenicol, they all have serious adverse reactions. Streptomycin can cause aplastic anemia, hepatotoxicity, gray infant syndrome, etc.26,27 so it is not recommended to use in clinical practice. At the same time, recent studies have shown that penicillin-resistant Streptococcus pneumoniae is a serious problem in the world,28,29 which is consistent with our research results. Except for Ertapenem and Amoxicillin, Streptococcus pneumoniae is highly resistant to most β-lactam drugs, which may be related to the excessive use of β-lactam antibiotics in the clinic. Considering that β lactams has fewer adverse reactions, we believe that ertapenem and amoxicillin are more suitable for the treatment of mild Streptococcus pneumoniae infection. Furthermore, Staphylococcus epidermidis is sensitive to clindamycin and rifampicin, and its adverse reactions are relatively mild,30,31 so we believe that they can be used as the first choice for the treatment of Staphylococcus epidermidis.

Study limitations: Our research has potential limitations. Because the incidence of central system infection is relatively low, although we have collected eight years, the sample size is still small, which may affect the results and produce deviations.