Relationship Between Catheter Related Cerebrospinal Fluid Infections and Systemic Immune-Inflammation Index

doi:10.21203/rs.3.rs-1635371/v1

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Relationship Between Catheter Related Cerebrospinal Fluid Infections and Systemic Immune-Inflammation Index

https://doi.org/10.21203/rs.3.rs-1635371/v1

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Objective: This study investigated the relationship between the systemic immune-inflammation index (SII) and catheter-related infections and their effects on prognosis in pediatric patients.

Method: A total of 56 pediatric patients diagnosed with ventriculoperitoneal (V-P) shunt infection between January 2017 and December 2019 were included. V-P shunt infection diagnosis was made based on clinical findings. All cerebrospinal fluid (CSF) samples were subjected to direct microscopic examination and culture. Protein, glucose, and sodium levels in CSF, CSF leukocytes, and hematological and biochemical parameters were measured.

Results: Of the patients, 55.4% were female and 44.6% male. V-P shunt was detected in 82.1% of the cases and external ventricular drainage (EVD) catheter-related infection in 17.9%. The CSF/blood glucose ratio was significantly lower (p = 0.046), and SII was significantly increased (p = 0.002) in CNS.

Conclusion: Early and appropriate antibiotic therapy reduces morbidity and mortality in catheter-related infections. However, it is important to start empirical antibiotherapy until culture results are expected. Therefore, further research on the estimation of possible factors is needed.

V-P shunt infections

hydrocephalus

systemic immune-inflammation index

CSF infections

The central nervous system is protected by the blood–brain barrier against microbial invasion. However, the disruption of the blood–brain barrier could lead to infection [1].

Ventriculoperitoneal (V-P) shunting is the main treatment method for hydrocephalus. Despite the positive developments in the treatment of hydrocephalus with V-P shunt, complications, especially infections, are the most common problem during treatment. The secondary infection rate due to V-P shunt is 0.3–40%. Most V-P shunt infections occur within the first month after V-P shunt operations [2]. Young age, prematurity, previous V-P shunt infection, reason for shunt insertion (purulent meningitis, intracranial hemorrhage, meningomyelocele), surgeon’s experience, duration and technique of surgery, compliance with sterility and three or more shunt changes, the presence of various shunt systems, postoperative cerebrospinal fluid (CSF) leakage, handling of the shunt device, glove holes, poor skin condition of the patient, contamination of the shunt catheter, and excessive personnel entry and exit during the operation are risk factors for the development of V-P shunt infection [3]

The most common cause of V-P shunt infections are pathogens originating from the skin and enteric system. V-P shunt infections are caused by various pathogens, such as Staphylococcus aureus, coagulase-negative staphylococci (CNS), gram-negative bacteria, and anaerobic bacteria. Among these pathogens, anaerobic and gram-negative bacteria are generally known to cause benign and slow infections. In contrast, gram-positive bacteria cause more aggressive and rapid infections. Among the gram-positive bacteria, S. aureus is thought to cause more rapid-onset infections than CNS [4].

External ventricular drainage (EVD) is a system used for intracranial pressure monitoring, CSF drainage in the occluded ventricular system, or the treatment of infected catheters. It is also an important cause of nosocomial meningitis. EVD-related infections have been known to have a rate of 9–20% [5]. CNS, S. aureus, and gram-negative bacteria, most commonly E. coli, Acinetobacter spp., and Klebsiella spp., are considered potential bacterial pathogens [6].

Platelet activation and leukocytosis occur as a result of the stimulation of systemic immune reaction after catheter-related central nervous system infections. Increased inflammatory biomarkers have important effects on the severity of the disease, response to treatment, and prognosis in catheter-related central nervous system infections [7]. The systemic immune-inflammation index (SII) is a new parameter, reflecting the balance between inflammation and immune status. SII is calculated using the following formula: platelet x neutrophil/lymphocyte [8].

In recent years, SII has been shown to have a prognostic value in estimating different malignant diseases (8). However, the prognostic value of SII in central nervous system infections is unknown. The aim of this study is to investigate the relationship between SII and catheter-related central nervous system infections and their effects on prognosis in the pediatric group.

Pediatric patients with a diagnosis of V-P shunt or EVD catheter-related central nervous system infection confirmed by growth in CSF culture between January 2017 and October 2019 were retrospectively included in this study. Patients’ age, gender, complete blood count at hospitalization, biochemistry, C-reactive protein (CRP) levels, SII, catheter type, clinical findings, laboratory characteristics, CSF findings (CSF cell count, CSF glucose, CSF sodium, CSF protein levels), CSF culture results (Gram staining, resistance), length of hospital stay, treatments (antibiotics, duration), and the final status of the patients were recorded in the follow-up forms. SII was calculated according to the following formula: SII = Platelet × Neutrophil / Lymphocyte. Patients with positive CSF culture and unavailable data were not included in this study.

The diagnosis of catheter-related central nervous system infection was made based on the results of clinical findings and the CSF examination. And the diagnosis confirmed by bacterial growth in the CSF culture. Empirical antibiotic therapy was started until the CSF culture results were obtained. Ceftriaxone was started for patients older than 1 month, and a combination of ampicillin and gentamicin was administered to newborns. After the CSF culture results were obtained (usually 3 days later), specific antibiotic therapy was started. CSF culture results were repeated after the patients were treated for an average of 2 weeks. Antibiotics were discontinued, continued, or changed according to the results of the second culture. It was thought that the patient was cleared of infection, with negative CSF culture results after antibiotic therapy and a decrease in white blood cell count in CSF.

Microbiological and biochemical examination of CSF

All CSF samples taken under sterile conditions and sent to the laboratory were directly subjected to microscopic examination (Gram staining) and culture. The detection of the microorganism grown in culture in Gram analysis greatly reduces the possibility of contamination. The CSF samples were first centrifuged. The upper fluid was used for biochemical examination, while the bottom sediment was used for microbiological examination. Gram staining was done from a part of the precipitate and examined microscopically. The rest of the colony was cultivated on chocolate agar, blood agar, and eosin methylene blue agar. The plates were incubated at 37°C for 18–48 hours, and the chocolate medium was incubated in an oven with 5% CO₂ for 72 hours. At the end of the incubation period, the VITEK 2 automated system (BioMérieux, France) was used to identify the colonies with growth at the species level and to determine their antibiotic susceptibility. Antimicrobial susceptibility results were evaluated according to the current Clinical and Laboratory Standards Institute criteria [9].

This study was approved by the ethics committee of University of Health Sciences, Diyarbakir Gazi Yasargil Education and Research Hospital.

Statistical analysis

Statistical analysis was performed using the SPSS statistical program (Version 12.0; SPSS Inc., Chicago, IL, USA). All clinical parameters were analyzed. The Kolmogorov–Smirnov test was used to determine the normal distribution of the data. The continuous variables were expressed as mean ± SD. The one-way analysis of variance was used to compare the mean of the normally distributed parameter; otherwise, the nonparametric Kruskal–Wallis H-test was utilized. The categorical parameters were expressed as percentages and absolute frequencies. Chi-square test was utlized to compare this type of data. Spearman Rank correlation analysis was performed. A p value of < 0.05 was considered statistically significant.

Fifty-six patients with growth in CSF culture were included in this study. 55.4% of the cases were female and 44.6% male. The youngest of the cases was 0, and the oldest was 216 months old. The mean age was 24.32 (± 55.79). Ventriculoperitoneal shunt was detected in 82.1% of the cases, and EVD catheter-related infection was found in 17.9%. Gram-positive bacteria were grown in 67.9% of the cases and gram-negative bacteria in 32.1%. When infection and CSF biochemistry parameters of gram-positive and gram-negative bacteria were compared, no significant difference was observed (Table 1).

Table 1

Characteristics of gram-negative and gram-positive bacteria
	Total (n = 56)	Gram-negative (n = 18)	Gram-positive (n = 38)	p value
Age (month)	24.32 ± 55.79	29.11 ± 51.77	11.64 ± 36.89	0.663
Cell	1970.45 ± 5993.39	1957.69 ± 4603.25	162.66 ± 235.43	0.995
Protein (g/dL)	3887.96 ± 5296.28	3890.20 ± 4377,65	3887.00 ± 5719.27	0.999
Glucose (mg/dL)	28.36 ± 21.79	20.25 ± 16.79	32.09 ± 23.07	0.121
CSF/blood glucose	0.31 ± 0.25	0.26 ± 0.27	0.33 ± 0.25	0.419
Sodium (mEq/L)	137.67 ± 4.63	137.50 ± 0.71	137.70 ± 5.12	0.959
Clor (mEq/L)	111.21 ± 7.97	115.50 ± 6.61	110.07 ± 8.10	0.236
WBC (10⁹/L)	16.37 ± 8.07	17.56 ± 7.27	15.80 ± 8.46	0.453
CRP (mg/L)	51.63 ± 65.25	62.20 ± 83.62	46.82 ± 55.84	0.455
Neutrophil (%)	9.45 ± 7.21	9.72 ± 5.67	9.32 ± 7.91	0.847
Lymphocyte (%)	5.23 ± 2.95	5.499 ± 3.17	5.12 ± 2.87	0.671
Eosinophilia (%)	0.51 ± 0.72	0.24 ± 0.46	0.63 ± 0.79	0.335
Platelet (10⁹/L)	454.86 ± 214.76	417.06 ± 210.15	472.76 ± 217.35	0.369
SII	1211.01 ± 1493.01	937.99 ± 747.74	1333.14 ± 1721.02	0.369
CSF, cerebrospinal fluid; WBC, white blood cell; CRP, C-reactive protein; SII, systemic immune-inflammation index

The prevalence rates of the bacteria are as follows: 41.1% of CNS; 10.7% of Klebsiella pneumoniae and Enterococci; 7.1% of S. aureus; 5.4% of Acinetobacter baumannii, Pseudomonas aeruginosa, and Serratia marcescens; and 1.8% of Bacillus spp., Brevundimonas diminuta, Escherichia diminutoantea, Kocrychia cocuricaelus, Koccurichia cocurica, Streptococcus salivarius, and Granuli elegans.

When gram-negative and gram-positive bacteria were compared according to coagulase status, it was found that the CSF/blood glucose ratio was statistically significantly lower (p = 0.046) and SII was significantly higher in the non-CNS gram-positive bacteria (p = 0.002) (Table 2).

Table 2

Comparison of the characteristics of gram-negative bacteria, coagulase-negative staphylococci (CNS), and non-CNS gram-positive bacteria
	Gram-negative (n = 18)	Non-CNS gram-positive (n = 15)	CNS (n = 23)	p value
Age (month)	29.11 ± 51.77	25.67 ± 51.68	19.70 ± 52.85	0.865
Cell	1957.69 ± 4603.25	694.48 ± 821.47	2871.30 ± 8568.33	0.779
Protein (g/dL)	3890.20 ± 4377.65	1836.14 ± 2520.53	4570.62 ± 6347.43	0.509
CSF Glucose (mg/dL)	20.25 ± 16.79	14.42 ± 15.38	38.61 ± 22.23	0.009
CSF/blood glucose	0.26 ± 0.27	0.14 ± 0.14	0.40 ± 0.24	0.046
Sodium (mEq/L)	137.50 ± 0.71	139.00 ± 4.24	137.38 ± 5.52	0.921
Clor (mEq/L)	115.50 ± 6.61	108.50 ± 12.08	111.11 ± 4.54	0.419
WBC (10⁹/L)	17.56 ± 7.27	17.86 ± 11.33	14.47 ± 5.83	0.343
CRP (mg/L)	62.20 ± 83.62	55.23 ± 59.13	41.35 ± 54.44	0.638
Neutrophil (%)	9.72 ± 5.67	12.37 ± 10.94	7.34 ± 4.31	0.107
Lymphocyte (%)	5.499 ± 3.17	4.15 ± 3.09	5.74 ± 2.59	0.244
Eosinophilia (%)	0.24 ± 0.46	0.35 ± 0.53	0.51 ± 0.91	0.505
Platelet (10⁹/L)	417.06 ± 210.15	467.93 ± 269.06	475.91 ± 182.65	0.667
SII	937.99 ± 747.74	2302.14 ± 2374.27	701.19 ± 580.02	0.002
CSF, cerebrospinal fluid; WBC, white blood cell; CRP, C-reactive protein; SII, systemic immune-inflammation index

CNS bacteria have a higher resistance to methicillin, erythromycin, and clindamycin than the other groups (p = 0.001, p = 0.006, p = 0.044, respectively). Gram-negative bacteria have a high resistance to ampicillin, 3rd and 4th generation cephalosporin, broad-spectrum beta-lactamase (p = 0.041, p = 0.000, p = 0.028, p = 0.028, respectively) (Table 3).

Table 3

Antibiotic resistance rates of gram-negative bacteria, coagulase-negative staphylococci (CNS), and non-CNS gram-positive bacteria
Resistance	Gr (-) (%)^a	Non-CNS Gr (+) (%)^a	CNS (%)^a	Total (%)	p value
Methicillin	0	26.7	52.2	28.5	0.001
Vancomycin	0	13.3	0	3.6	0.065
Erythromycin	0	6.7	30.4	14.3	0.006
Aminoglycoside	17.6	6.7	8.7	10.7	0.613
Clindamycin	5.5	13.3	53.3	19.6	0.044
Ampicillin	22.2	0	4.3	8.9	0.041
3rd generation cephalosporin	38.9	0	0	12.5	0.000
4th generation cephalosporin	16.7	0	0	5.4	0.028
Trimethoprim	11.1	0	0	3.6	0.095
ESBL	16.7	0	0	5.4	0.028
Colistin	5.6	0	0	1.8	0.315
Gentamicin	11.1	6.7	13.0	10.7	0.811
Penicillin	5.6	20	4.3	8.9	0.255
Tazobactam	5.6	0	0	1.8	0.315
Quinolone	27.8	6.7	30.4	23.2	0.149
Tetracycline	0	0	4.3	1.8	0.405
^aIt was calculated as the subgroup ratio.

Single antibiotics were started in 32.1% of the patients, double antibiotics in 66.1%, and triple antibiotics in 1.8% (relationship between the groups, p = 0.571). Antibiotic revision was required in 16.1% of the patients. Revision was required once in 7.1%, twice in 7.1%, and thrice in 1.8%. Only one patient (1.8%) required intrathecal treatment. The mortality rate was 19.6%. Excluding the patients who did not respond to treatment (those that resulted in mortality), the mean duration of treatment was 20.42 ± 11.45 days. The mean duration of treatment was 21.69 ± 9.44 days in the gram-negative bacteria group, 23.77 ± 12.57 days in the gram-positive and non-CNS group, and 17.26 ± 11.67 days in the gram-positive and coagulase-negative group, indicating no statistically significant difference (p = 0.263). No statistical difference was found in all groups with regard to the need for multiple antibiotics, the need for antibiotic revision, mortality, and response time to treatment.

Considering the correlation between SII and mortality between the groups; In the CNS group and the gram-negative bacteria group, the SII was found to be statistically significantly higher in those that resulted in mortality. However, in the non-CNS gram-positive bacteria group, no significant difference in SII was found between the patients who survived and the patients who died (Table 4).

Table 4

The SII values of gram-negative bacteria, coagulase-negative staphylococci (CNS), and non-CNS gram-positive bacteria according to mortality
Bacteria group	SII in treatment	SII in mortality	p value
Gram-negative	638.51 ± 553.49	1656.74 ± 692.25	0.006
Non-CNS gram-positive	2382.14 ± 2481.61	1782.14 ± 2096.49	0.753
CNS	548.42 ± 373.43	1426.82 ± 883.47	0.003
CNS, coagulase-negative staphylococci
SII positively correlated with CSF cells, WBC, neutrophil, platelet, antibiotic revision, mortality. However, SII negatively correlated with CSF glucose, CSF sodium, CSF clor, lymphocyte, eosinophilia (Table 5).

Table 5

Correlation analysis between SII and clinical parameters in patients with V-P shunt infections
Parameters	Sperman’s correlation coefficient (r)	p Value
CSF Cells	0.415	0.049
CSF Glucose	-0.326	0.035
CSF Sodium	-0.621	0.042
CSF Clor	-0.500	0.034
WBC	0.547	< 0.001
Neutrophil	0.820	< 0.001
Lymphocyte	-0.331	0.014
Eosinophilia	-0.273	0.044
Platelet	0.357	0.007
Antibiotic revision	0.672	0.033
Mortality	0.338	0.012

The central nervous system infections are a serious group of infections that cause morbidity and mortality, and this can be prevented with early and appropriate antibiotic therapy. Empirical antibiotic treatment is started according to the results of the CSF microbiological examination, infection parameters, and culture results [10]. Serum inflammatory markers that make up the SII are parameters that can be easily obtained in clinical practice. SII has been shown to have a prognostic value in various studies [7, ]. However, no study has investigated the relationship between SII and bacterial agents in catheter-related infections. In the present study, the relationship between SII and possible bacterial agents was evaluated, aiming to provide appropriate antibiotic therapy by determining the parameters at the time of application and possible factors before the culture results were obtained. At the same time, the prognostic effect of SII among bacterial groups was evaluated.

Catheter-related central nervous system infections, especially V-P shunt infections, are more common in the pediatric age group [11]. CSF biochemical examination together with clinical findings can be useful in the diagnosis of central nervous system infections. Moreover, a central nervous system infection is characterized by a white blood cell count of > 10/mm3, decreased glucose level (< 45 mg/dL), and high protein level (> 100 mg/dL) in CSF [12]. In the present study, CSF WBC was determined as 1970.45 ± 5993.39/mm³ (50-27249), CSF glucose 28.36 ± 21.79 mg/dL (1–91), and CSF protein 3887.96 ± 5296.28 mg/dL (4-20723). The lowest CSF glucose level and simultaneous CSF/blood glucose ratio were observed in the non-CNS gram-positive bacteria group, whereas the highest CSF glucose level and simultaneous CSF/blood glucose ratio were observed in the CNS group, indicating a statistically significant difference (p = 0.009–0.046.)

Shunt infections are associated with a high revision rate, recurrent infections, ventriculitis, meningitis, encephalitis, and increased mortality [13]. They include shunt removal, EVD insertion, and antibiotic therapy [14]. Complications include decreased intelligence quotient and increased risk of seizures due to neuronal damage and infection [15]. The most common causative agent in shunt infections is CNS, which is found in the skin flora [16]. CNS constitutes 50% and S. aureus 25% of the bacterial agents [17]. Gram-negative bacteria are less common bacteria, whereas Pseudomonas spp., Klebsiella spp., and Acinetobacter spp. are common bacteria [12]. The risk factors for the development of EVD-associated infection are blood mixing in CSF, CSF sampling frequency, CSF leakage at the drainage entry site, and possibly bilateral drainage [18]. Younger age (< 1 year and prematurity), decreased skin integrity, and intraventricular hemorrhage in children increase the risk of EVD-associated infection compared with adults [5, 19]. The most common factors of EVD catheter-related infection are CNS, S. aureus, and gram-negative bacteria, i.e., E. coli, Acinetobacter spp., and Klebsiella spp.⁵. In the present study, CNS was the most common, followed by Klebsiella pneumoniae, Enterococci, S. aureus, Acinetobacter baumannii, Pseudomonas aeruginosa, and Serratia marcescens, respectively. The rate of gram-positive bacteria was 67.9%, whereas the rate of gram-negative bacteria was 32.1%.

SII is widely used in various tumors as a prognostic indicator [20]. An increased level of SII is associated with a poor prognosis [21]. In the present study, the effect of SII on prognosis in the bacterial group was examined. It was found that the SII was not predictive in distinguishing between gram-negative and -positive bacteria.

CNS is a group of bacteria found in the skin mucosa, which is considered apathogenic in healthy individuals. However, it is a common cause of hospital infections and catheter-related infections. It usually presents as subacute and chronic infections that start subclinically. However, it can have an aggressive course and be fatal in those who are inadequately treated. It should be considered in the foreground in foreign body-related infections [22]. It was determined that the SII was significantly increased in the gram-positive bacteria group without CNS (p = 0.002). However, in the non-CNS gram-positive bacteria group, an inverse correlation was found between mortality and SII, which was not statistically significant. However, it was observed that the increased SII was significantly associated with mortality in the CNS and gram-negative bacteria groups (p < 0.05). Gram-negative bacteria and CNS usually cause benign and slow infections. The fact that the SII was higher in the gram-negative bacteria and CNS patients with mortality than in survivors may be due to the more severe and progressive gram-negative infections in the mortality group. Moreover, the reason why SII was not different between survivors and patients with mortality in the non-CNS gram-positive bacteria group and the SII was higher compared with the other groups may be due to the fact that these infections were more aggressive and rapid.

Antibiotic resistance changes the treatment response and modalities. While methicillin resistance is prominent in both CNS and S. aureus, broad-spectrum beta-lactamase resistance and carbapenem resistance cause problems in gram-negative bacteria [23]. In the present study, the rate of resistance to any antibiotic was found to be 72.3%, with methicillin resistance being the highest (28.5%). While methicillin resistance was 52.2% in CNS, it was 26.7% in non-CNS gram-positive bacteria. Although the rate of methicillin resistance has been increasing [24], it was detected at a lower rate in the present study. ESBL resistance was found to be 16.7% in gram-negative bacteria. Clindamycin and quinolone had been found to be highly resistant.

In conclusions, early and appropriate antibiotic therapy reduces morbidity and mortality in catheter-related infections. However, it is very important to start empirical antibiotic therapy until the culture results are determined. Therefore, further research on the estimation of possible factors is important. In the present study, it was determined that the level of SII upon admission was mostly parallel with non-CNS gram-positive bacteria. However, high SII upon presentation was associated with poor prognosis and increased mortality in both the CNS and gram-negative bacteria groups. Furthermore, no bacterial difference was observed in the shunt or EVD-related infections.

Funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Conflicts of interest/Competing interests: The authors declare no conflicts of interest.

Ethics approval: The study was approved by the Ethics Committee of the Health Sciences University, Gazi Yasargil Education and Research Hospital (Approval number 361; Oct 25, 2019).

Consent to participate: The study was conducted in accordance with the Declaration of Helsinki, and informed written consent was obtained from the parents of all patients.

Consent for publication: The authors have consented for publication.

Availability of data and material: Data and materials can be provided upon request.

Code availability: Not applicable

Authors' contributions

Conception and Design: Sebnem Nergiz, Pinar Aydin Ozturk

Acquisition, analysis and interpretation of data: Sebnem Nergiz, Pinar Aydin Ozturk

Approved final version of the manuscript: Sebnem Nergiz, Pinar Aydin Ozturk

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No competing interests reported.

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Relationship Between Catheter Related Cerebrospinal Fluid Infections and Systemic Immune-Inflammation Index

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Abstract

Introduction

Materials And Methods

Microbiological and biochemical examination of CSF

Statistical analysis

Results

Discussion

Declarations

References

Competing Interests

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