Skip Navigation
Skip to contents

J Trauma Inj : Journal of Trauma and Injury

OPEN ACCESS
SEARCH
Search

Articles

Page Path
HOME > J Trauma Inj > Volume 35(4); 2022 > Article
Original Article
Postoperative infection after cranioplasty in traumatic brain injury: a single center experience
Mahnjeong Ha, MDorcid, Jung Hwan Lee, MDorcid, Hyuk Jin Choi, MDorcid, Byung Chul Kim, MDorcid, Seunghan Yu, MDorcid
Journal of Trauma and Injury 2022;35(4):255-260.
DOI: https://doi.org/10.20408/jti.2022.0043
Published online: November 16, 2022
  • 1,899 Views
  • 64 Download

Medical Research Institute, Department of Neurosurgery, Pusan National University Hospital, Busan, Korea

Correspondence to Seunghan Yu, MD Department of Neurosurgery, Pusan National University Hospital, 179 Gudeok-ro, Seo-gu, Busan 49241, Korea Tel: +82-051-240-7257 E-mail: inyourskull@naver.com
• Received: August 16, 2022   • Revised: September 29, 2022   • Accepted: September 29, 2022

© 2022 The Korean Society of Traumatology

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

prev next
  • Purpose
    To determine the incidence and risk factors of postoperative infection after cranioplasty in patients with traumatic brain injury (TBI).
  • Methods
    Data of 289 adult patients who underwent cranioplasty after TBI at a single regional trauma center between year 2018 and 2021 were reviewed retrospectively. Patient characteristics and various procedural variables, such as interval between craniectomy and cranioplasty, estimated blood loss, laterality and materials of the bone flap, and duration and classification of perioperative antibiotics usage were analyzed.
  • Results
    Postoperative infection occurred in 17 patients (5.9%). Onset time of infectious symptom ranged from 9 days to 174 days (median, 24 days) after cranioplasty. The most common cultured organism was Staphylococcus aureus (47.1%), followed by Klebsiella pneumoniae (17.6%) and Enterococcus faecalis (17.6%). Patients with postoperative infection were more likely to have diabetes (odds ratio [OR], 6.96; 95% confidence interval [CI], 1.92–25.21; P=0.003), lower body mass index (OR, 0.81; 95% CI, 0.66–0.98; P=0.029), and shorter duration of perioperative antibiotics (OR, 0.83; 95% CI, 0.71–0.98; P=0.026).
  • Conclusions
    For TBI patients with diabetes, poor nutritional status should be managed cautiously for increased risk of infection after cranioplasty. Further studies and discussions are needed to determine an appropriate antibiotics protocol in cranioplasty.
Decompressive craniectomy is a widely used neurosurgical procedure to control increased intracranial pressure in multiple conditions including traumatic brain injury (TBI), stroke, and intracranial hemorrhage. When initial stage of hemorrhage and edema is over, cranioplasty is generally considered. Recent studies suggest that cranioplasty not only has protective and cosmetic benefit, but also is associated with functional neurological recovery [1,2].
However, cranioplasties can have serious complications including infection, seizures, bone resorption, and delayed hydrocephalus [3] with an overall complication rate reported as high as 40% [4]. Among these complications, postoperative infection is one of the most important complications because it can lead to serious conditions including empyema and meningitis, that require a long period of intravenous antibiotics treatment and possibly multiple surgeries.
Several studies have identified factors associated with infection after cranioplasty [36], mostly with heterogenous etiology and autologous bone graft. However, despite the recent development and increased usage of new graft materials, few attempts have been made to investigate infection risk of these newer material. Furthermore, lack of dedicated study in TBI population on this topic has not been addressed. In this study, authors provide comprehensive evaluation of incidence and risk factors of postoperative infection after cranioplasty in patients with TBI. This updated study might provide implications to achieve better care for TBI patients.
Ethical statements
This study was approved by the Institutional Review Board of Pusan National University Hospital (No. 2207-023-117). Informed consent was waived due to the study’s retrospective nature.
Data collection and definition
Data of adult patients who underwent a cranioplasty at a single regional trauma center between year 2018 and 2021 were reviewed retrospectively. After excluding patients who underwent decompressive craniectomy for nontraumatic cause such as ischemic stroke, a total of 289 patients were enrolled. Their medical records were reviewed for information including age, sex, history of smoking, body mass index (BMI), Injury Severity Score at the time of initial trauma, American Society of Anesthesiologists physical status classification and modified Rankin Scale at the time of the cranioplasty. Procedural variables such as interval between craniectomy and cranioplasty, operational duration of cranioplasty surgery, estimated blood loss, laterality and materials of the bone flap, and duration and classification of perioperative antibiotics usage were also collected. Postoperative infection was defined as any case with one of the following presentations up to a year after cranioplasty as per Centers for Disease Control and Prevention definition of surgical site infection: purulent discharge, wound dehiscence, formation of abscess, or empyema with or without systemic inflammatory symptoms [7]. Degree of surgical site infections are usually classified as superficial incisional, deep incisional, and organ/space [7,8]. However, superficial incisional and deep incisional surgical site infections were often not clearly distinguishable by medical records and images. Therefore, infections with abscess, encephalitis, or meningitis were classified as organ/space infections and the rest were classified as incisional infections in this study.
Surgical technique
All cranioplasty were performed by five individual board-certified neurosurgeons with more than 2 years of experience as a neurotrauma surgeon in a standardized fashion. Surgical site was prepared in the usual manner. Previous incisions were reopened and dissected. Dural defects were repaired and sealed with collagen sponge (TachoSil; Takeda Austria, Linz, Austria). Cryopreserved autologous bone flaps were considered primarily in most cases. However, if the quality of bone flap was inadequate, various artificial grafts were considered based on surgeon’s and patient’s preference. Each implant, including cryopreserved autologous bone, polymethyl methacrylate, polyether ether ketone, or titanium mesh implant, was sterilized using ethylene oxide gas and irrigated vigorously with normal saline before implantation. All graft were fixated with miniplates and two subgaleal drains were placed before closure of the surgical wound.
Prophylactic antibiotics were administered within 1 hour of skin incision. However, the choice of antibiotics and the duration of usage varied greatly per surgeon’s preference and the clinical scenario. If prophylactic antibiotics were used continuously more than 2 weeks for the treatment of various infections such as pneumonia and phlebitis, they were still counted as perioperative antibiotics for the purpose of this study.
Statistical method
After collection, data were divided into an infection group and a non-infection group. Independent t-test or Wilcoxon rank-sum test for continuous variable and chi-square test or Fisher exact test for categorical variable were used for initial analysis. Multivariate logistic regression was also performed to evaluate statistical correlation. Odds ratio (OR) and 95% confidence interval (CI) were calculated when applicable. Two tailed P-values of less than 0.05 were considered to indicate statistical significance. All statistical analyses were conducted using R ver. 4.1.3 (R Foundation for Statistical Computing, Vienna, Austria).
A total of 289 patients underwent cranioplasty during the 4-year period (2018 to 2021), including 219 male patients (76.3%). The mean age of patients was 51.6 years (Table 1). A total of 17 patients (5.9%) had postoperative infection. Onset time of infectious symptom ranged from 9 to 174 days (median, 24 days) after cranioplasty (Table 2). Thirteen of 17 patients (76.5%) with surgical infection had organ/space infection such as epidural/subdural abscess and meningitis. The most commonly cultured organism was Staphylococcus aureus (47.1%), followed by Klebsiella pneumoniae (17.6%) and Enterococcus faecalis (17.6%) (Table 3).
In initial statistical analysis between the infection group and the non-infection group, variables showing statistically significant difference included BMI (P=0.006), diabetes (P=0.007), and duration of perioperative antibiotics usage (P=0.030). In multivariate logistic regression analyses, patients in the infection group were more likely to have diabetes (OR, 6.96; 95% CI, 1.92–24.21; P=0.003) and lower BMI (OR, 0.81; 95% CI, 0.66–0.98; P=0.029) (Table 2). Other patient factors including age, sex, history of smoking, Injury Severity Score, American Society of Anesthesiologists physical status, modified Rankin Scale, history of continuous intracranial pressure monitoring, and presence of shunt device were not associated with postoperative infection. Procedural factors did not show any significant associations with postoperative infection either. However, a shorter duration of perioperative antibiotics usage was associated with an increased infection risk (OR, 0.83; 95% CI, 0.71–0.98; P=0.026). We did not observe any significant difference in infection rates between individual surgeons (P=0.69) (Table 4).
Diabetes has been associated with various postoperative morbidity, including postoperative infection after cranioplasty [3,4,6]. In this study, we also found a strong correlation between diabetes and infection. The only other patient factor that showed a statistically significant association with infection in our study was BMI. In the designing stage of this study, we suspected that obesity would be associated with infection. However, we observed a trend of association between higher BMI and decreased risk of postoperative infection. Considering that many patients with TBI are bed ridden, their nutritional status might be related to the incidence of infection. Although a few studies have discussed the correlation between malnutrition and surgical infection [9,10], further investigation is needed on this topic. Previous surgical procedures such as history of continuous monitoring and presence of shunt device were presumed to increase risk of infection. However, they did not affect infection incidence significantly in our study.
With recent advancement in technology, more and more patients are getting three-dimensional printed polyether ether ketone grafts which offer better cosmetic outcome and shorter operation time than traditional free hand molded polymethyl methacrylate grafts. Therefore, the authors included various types of cranioplasty materials in this study, different from previous studies that focused on autologous graft and first time cranioplasty. However, we did not observe any significant difference in the incidence of postoperative infection depending on the graft material. Punchak et al. [11] have published a meta-analysis on the safety of polymethyl methacrylate graft without reaching conclusion on the implant infection risk due to the lack of data. Other variables such as timing and duration of the cranioplasty, as well as estimated blood loss did not affect the infection risk either.
There is no clear guideline on perioperative antibiotics usage in a cranioplasty surgery specifically. However, the 2017 Centers for Disease Control and Prevention guideline strongly recommends against repeated use of prophylactic antibiotics usage in clean or clean-contaminated procedure [12]. Surgical Infection Society guideline also recommends single-dose antibiotics without a clearly recommended choice of agent [13]. However, in clinical practice, these recommendations are not always followed strictly. Single-dose antibiotics administration was used only in 39 cases (13.5%) in our study (Fig. 1). Often, cranioplasty is considered as “an implantation surgery” associated with high infection rate and biofilm formation. Furthermore, because many patients were critically ill and exposed to antibiotics resistant microorganisms, some studies even suggest routine use of vancomycin [14] or when the patient carries methicillin-resistant S. aureus on a scalp swap [15]. In our study, we observed that a shorter duration of perioperative antibiotics associated with a higher infection risk. Though results of this study are insufficient to conclude optimal protocol on antibiotics usage in cranioplasty, surgeons might need to consider extended duration of perioperative antibiotics, especially in high infection risk patients.
This study has a few limitations. First, this was a retrospective, nonrandomized single center study with a relatively small number of patients, especially infection group (17 patients). Second, due to the goal of this study to search for risk factors, data were more heterogenous than those of previous studies that usually focus on first time cranioplasty with autologous bone graft. Factors such as skin flora, size of craniectomy, damage of skin in the initial trauma should be included in future studies. Further randomized prospective studies with larger sample sizes are also needed.
Despite the limitations, this study demonstrates that diabetes, lower BMI, and shorter duration of perioperative antibiotics are correlated with a higher chance of postoperative infection after cranioplasty in patients with TBI. Since postoperative infections have major negative effect on the course of the treatment of TBI, surgeons should pay attention to modifiable factors when performing cranioplasty. Tighter blood sugar control with sufficient nutrition and adequate use of antibiotics might help reduce the risk of postoperative infections.

Ethical statements

This study was approved by the Institutional Review Board of Pusan National University Hospital (No. 2207-023-117). Informed consent was waived due to the study’s retrospective nature.

Conflicts of interest

The authors have no conflicts of interest to declare.

Funding

This work was supported by a clinical research grant from Pusan National University Hospital in 2022.

Author contributions

Conceptualization: SY; Data curation: MH, HJC, BCK; Formal analysis: JHL; Funding acquisition: BCK; Methodology: HJC, BCK; Project administration: JHL, HJC, SY; Visualization: JHL; Writing–original draft: MH; Writing–review & editing: HJC, BCK, SY.

All authors read and approved the final manuscript.

Fig. 1.
Duration of perioperative antibiotics usage.
jti-2022-0043f1.jpg
Table 1.
Summary of patient characteristic and possible risk factors
Variable Overall Infection group Non-infection group P-valuea)
No. of patients 287 (100) 17 (5.9) 270 (94.1) -
Patient factor
 Age (yr) 51.60±17.84 48.18±19.02 51.81±17.77 0.453
 Male sex 219 (76.3) 15 (88.2) 204 (75.6) 0.377
 History of smoking 108 (37.6) 8 (47.1) 100 (37.0) 0.569
 Body mass index (kg/m2) 23.27±3.31 21.49±2.37 23.39±3.33 0.006b)
 History of diabetes 23 (8.0) 5 (29.4) 18 (6.7) 0.007b)
 Injury Severity Score >24 220 (76.7) 15 (88.2) 205 (75.9) 0.302
 ASA physical status >2 243 (84.7) 16 (94.1) 227 (84.1) 0.485
 Modified Rankin Scale >3 166 (57.8) 9 (52.9) 157 (58.1) 0.801
 ICP monitoring history 43 (15.0) 4 (23.5) 39 (14.4) 0.297
 Presence of shunt 19 (6.6) 3 (17.6) 16 (5.9) 0.093
Procedure factor
 DC-CP interval (day) 106.78±185.51 192.82±489.03 101.37±147.88 0.453
 Operation duration (min) 132.23±41.23 135.24±48.31 132.04±40.84 0.793
 Estimated blood loss (mL) 312.37±213.64 352.94±275.83 309.81±209.50 0.535
 Bilateral CP 60 (20.9) 4 (23.5) 56 (20.7) 0.762
 Bone flap 0.584
  Autologous 239 (83.3) 14 (82.4) 225 (83.3)
  Polymethyl methacrylate 39 (13.6) 2 (11.8) 37 (13.7)
  Polyether ether ketone 7 (2.4) 1 (5.9) 6 (2.2)
  Titanium mesh 2 (0.7) 0 2 (0.7)
Prophylactic antibiotic
 Cephalosporin 232 (80.8) 17 (100) 215 (79.6) 0.122
 Vancomycin 49 (17.1) 0 49 (18.1) -
 Other 6 (2.1) 0 6 (2.2) -
 Duration (day) 7.60±5.78 4.65±6.32 7.79±5.70 0.030b)

Values are presented as number (%) or mean±standard deviation.

ASA, American Society of Anesthesiologists; ICP, intracranial pressure; DC, decompressive craniectomy; CP, cranioplasty.

a) Independent t-test or Wilcoxon rank-sum test for continuous variables and chi-square test or Fisher exact test for categorical variables.

b) Statistically significant (P<0.05).

Table 2.
Multivariate logistic regression analysis
Independent variable Infection risk
Adjusted OR (95% CI) P-value
Body mass index (kg/m2) 0.81 (0.66–0.98) 0.029
History of diabetes 6.96 (1.92–25.21) 0.003
Duration of prophylactic antibiotics (day) 0.83 (0.71–0.98) 0.026

OR, odds ratio; CI, confidence interval.

Table 3.
Characteristics of postoperative infection cases (n=17)
Characteristic Value
Onset of infection from cranioplasty (day) 24 (9–174)
Depth of infection
 Incisional 4 (23.5)
 Organ/space 13 (76.5)
Cultured microorganism
 MSSA 2 (11.8)
 MRSA 6 (35.3)
Klebsiella pneumoniae 3 (17.6)
 Coagulase-negative staphylococci 1 (5.9)
Enterococcus faecalis 1 (5.9)
Pseudomonasspp. 3 (17.6)
 Unknown 1 (5.9)

Values are presented as median (range) or number (%).

MSSA, methicillin-susceptible Staphylococcus aureus; MRSA, methicillin-resistant S. aureus.

Table 4.
Infection rate of individual surgeons
Surgeon No. of patients
Infection rate (%) P-valuea)
Infection group Non-infection group
A 6 86 6.5 0.69
B 2 57 3.4
C 8 51 13.6
D 1 49 2.0
E 0 27 0

a) Fisher exact test.

  • 1. Honeybul S, Janzen C, Kruger K, Ho KM. The impact of cranioplasty on neurological function. Br J Neurosurg 2013;27:636–41. ArticlePubMed
  • 2. Shahid AH, Mohanty M, Singla N, Mittal BR, Gupta SK. The effect of cranioplasty following decompressive craniectomy on cerebral blood perfusion, neurological, and cognitive outcome. J Neurosurg 2018;128:229–35. ArticlePubMed
  • 3. Abode-Iyamah KO, Chiang HY, Winslow N, et al. Risk factors for surgical site infections and assessment of vancomycin powder as a preventive measure in patients undergoing first-time cranioplasty. J Neurosurg 2018;128:1241–9. ArticlePubMed
  • 4. Caruso JP, Griffin S, El Ahmadieh TY, et al. Surgical site infection after autologous cranioplasty for decompressive craniectomy in traumatic brain injury: a retrospective review of two level 1 trauma centers. J Craniofac Surg 2021;32:2728–31. ArticlePubMed
  • 5. Im SH, Jang DK, Han YM, Kim JT, Chung DS, Park YS. Long-term incidence and predicting factors of cranioplasty infection after decompressive craniectomy. J Korean Neurosurg Soc 2012;52:396–403. ArticlePubMedPMC
  • 6. Lee CH, Chung YS, Lee SH, Yang HJ, Son YJ. Analysis of the factors influencing bone graft infection after cranioplasty. J Trauma Acute Care Surg 2012;73:255–60. ArticlePubMed
  • 7. Mangram AJ, Horan TC, Pearson ML, Silver LC, Jarvis WR. Guideline for prevention of surgical site infection. Centers for Disease Control and Prevention (CDC) Hospital Infection Control Practices Advisory Committee. Am J Infect Control 1999;27:97–132. PubMed
  • 8. Jeong TS, Yee GT. Prospective multicenter surveillance study of surgical site infection after intracranial procedures in Korea: a preliminary study. J Korean Neurosurg Soc 2018;61:645–52. ArticlePubMedPMCPDF
  • 9. Skeie E, Koch AM, Harthug S, et al. A positive association between nutritional risk and the incidence of surgical site infections: a hospital-based register study. PLoS One 2018;13:e0197344ArticlePubMedPMC
  • 10. Tsantes AG, Papadopoulos DV, Lytras T, et al. Association of malnutrition with surgical site infection following spinal surgery: systematic review and meta-analysis. J Hosp Infect 2020;104:111–9. ArticlePubMed
  • 11. Punchak M, Chung LK, Lagman C, et al. Outcomes following polyetheretherketone (PEEK) cranioplasty: systematic review and meta-analysis. J Clin Neurosci 2017;41:30–5. ArticlePubMed
  • 12. Berrios-Torres SI, Umscheid CA, Bratzler DW, et al. Centers for Disease Control and Prevention guideline for the prevention of surgical site infection, 2017. JAMA Surg 2017;152:784–91. ArticlePubMed
  • 13. Bratzler DW, Dellinger EP, Olsen KM, et al. Clinical practice guidelines for antimicrobial prophylaxis in surgery. Surg Infect (Larchmt) 2013;14:73–156. ArticlePubMed
  • 14. Bang JH, Cho KT, Park SY. Prophylactic effect of vancomycin on infection after cranioplasty in methicillin-resistant staphylococcus aureus carriers with traumatic brain injury. Korean J Neurotrauma 2015;11:81–6. ArticlePubMedPMC
  • 15. Paredes I, Lagares A, San-Juan R, et al. Reduction in the infection rate of cranioplasty with a tailored antibiotic prophylaxis: a nonrandomized study. Acta Neurochir (Wien) 2020;162:2857–66. ArticlePubMedPDF

Figure & Data

References

    Citations

    Citations to this article as recorded by  

      Figure
      • 0
      Postoperative infection after cranioplasty in traumatic brain injury: a single center experience
      Image
      Fig. 1. Duration of perioperative antibiotics usage.
      Postoperative infection after cranioplasty in traumatic brain injury: a single center experience
      Variable Overall Infection group Non-infection group P-valuea)
      No. of patients 287 (100) 17 (5.9) 270 (94.1) -
      Patient factor
       Age (yr) 51.60±17.84 48.18±19.02 51.81±17.77 0.453
       Male sex 219 (76.3) 15 (88.2) 204 (75.6) 0.377
       History of smoking 108 (37.6) 8 (47.1) 100 (37.0) 0.569
       Body mass index (kg/m2) 23.27±3.31 21.49±2.37 23.39±3.33 0.006b)
       History of diabetes 23 (8.0) 5 (29.4) 18 (6.7) 0.007b)
       Injury Severity Score >24 220 (76.7) 15 (88.2) 205 (75.9) 0.302
       ASA physical status >2 243 (84.7) 16 (94.1) 227 (84.1) 0.485
       Modified Rankin Scale >3 166 (57.8) 9 (52.9) 157 (58.1) 0.801
       ICP monitoring history 43 (15.0) 4 (23.5) 39 (14.4) 0.297
       Presence of shunt 19 (6.6) 3 (17.6) 16 (5.9) 0.093
      Procedure factor
       DC-CP interval (day) 106.78±185.51 192.82±489.03 101.37±147.88 0.453
       Operation duration (min) 132.23±41.23 135.24±48.31 132.04±40.84 0.793
       Estimated blood loss (mL) 312.37±213.64 352.94±275.83 309.81±209.50 0.535
       Bilateral CP 60 (20.9) 4 (23.5) 56 (20.7) 0.762
       Bone flap 0.584
        Autologous 239 (83.3) 14 (82.4) 225 (83.3)
        Polymethyl methacrylate 39 (13.6) 2 (11.8) 37 (13.7)
        Polyether ether ketone 7 (2.4) 1 (5.9) 6 (2.2)
        Titanium mesh 2 (0.7) 0 2 (0.7)
      Prophylactic antibiotic
       Cephalosporin 232 (80.8) 17 (100) 215 (79.6) 0.122
       Vancomycin 49 (17.1) 0 49 (18.1) -
       Other 6 (2.1) 0 6 (2.2) -
       Duration (day) 7.60±5.78 4.65±6.32 7.79±5.70 0.030b)
      Independent variable Infection risk
      Adjusted OR (95% CI) P-value
      Body mass index (kg/m2) 0.81 (0.66–0.98) 0.029
      History of diabetes 6.96 (1.92–25.21) 0.003
      Duration of prophylactic antibiotics (day) 0.83 (0.71–0.98) 0.026
      Characteristic Value
      Onset of infection from cranioplasty (day) 24 (9–174)
      Depth of infection
       Incisional 4 (23.5)
       Organ/space 13 (76.5)
      Cultured microorganism
       MSSA 2 (11.8)
       MRSA 6 (35.3)
      Klebsiella pneumoniae 3 (17.6)
       Coagulase-negative staphylococci 1 (5.9)
      Enterococcus faecalis 1 (5.9)
      Pseudomonasspp. 3 (17.6)
       Unknown 1 (5.9)
      Surgeon No. of patients
      Infection rate (%) P-valuea)
      Infection group Non-infection group
      A 6 86 6.5 0.69
      B 2 57 3.4
      C 8 51 13.6
      D 1 49 2.0
      E 0 27 0
      Table 1. Summary of patient characteristic and possible risk factors

      Values are presented as number (%) or mean±standard deviation.

      ASA, American Society of Anesthesiologists; ICP, intracranial pressure; DC, decompressive craniectomy; CP, cranioplasty.

      Independent t-test or Wilcoxon rank-sum test for continuous variables and chi-square test or Fisher exact test for categorical variables.

      Statistically significant (P<0.05).

      Table 2. Multivariate logistic regression analysis

      OR, odds ratio; CI, confidence interval.

      Table 3. Characteristics of postoperative infection cases (n=17)

      Values are presented as median (range) or number (%).

      MSSA, methicillin-susceptible Staphylococcus aureus; MRSA, methicillin-resistant S. aureus.

      Table 4. Infection rate of individual surgeons

      Fisher exact test.


      J Trauma Inj : Journal of Trauma and Injury
      TOP