Literature DB >> 35855152

Early versus delayed debridement for surgical site infection after oncological neurosurgery.

Joao Paulo Mota Telles1, Vitor Nagai Yamaki2, Ricardo Andrade Caracante3, Victor Hugo Barboza Martins2, Wellingson Silva Paiva4, Manoel Jacobsen Teixeira5, Eberval Gadelha Figueiredo5, Iuri Santana Neville2.   

Abstract

Background: There are no guidelines on the management of surgical site infection (SSI) in neurosurgery. This study sought to analyze whether early debridement improved survival compared to antibiotic therapy alone in patients with postcraniotomy infections after oncological neurosurgeries.
Methods: We retrospectively reviewed patient records from 2011 to 2019 to identify patients that had been reoperated for the debridement of SSI after brain tumor resection. If SSI was suspected but not clinically evident, the diagnosis was confirmed by cerebrospinal fluid (CSF) analysis or contrast-based imaging examinations. Immediately after diagnosis, broad-spectrum antibiotics were started for all patients.
Results: Out of 81 SSI cases, 57 underwent debridement. Two patients were reoperated 3 times, and three had two surgeries, resulting in a total of 64 procedures. The number of days between SSI diagnosis and surgical intervention did not influence mortality in both univariate and multivariable analyses (Hazard ratio [HR] 1.03, 95% CI 0.93-1.13). Early debridement (<24 h) did not influence rates of antibiotic prescription at discharge (P = 0.53) or hospital length of stay (LOS) (P = 0.16). Higher neutrophil-lymphocyte ratios (NLRs) were associated with the lower survival (HR 1.05, 95% Confidence interval [CI] 1.01-1.08). Multiple cutoffs were tested and values above 3.5 are more significantly associated with worse outcomes (HR 2.2; 95%CI 1.1-4.2).
Conclusion: Early debridement does not seem to influence the survival, rates of antibiotic at discharge, or hospital LOS of patients presenting with SSI after neurosurgery for intracranial tumors. High NLRs are strong predictors of worse prognosis in this population. Copyright:
© 2022 Surgical Neurology International.

Entities:  

Keywords:  Antibacterial agents; Brain neoplasms; Debridement; Surgical wound infections; Survival analysis

Year:  2022        PMID: 35855152      PMCID: PMC9282797          DOI: 10.25259/SNI_423_2022

Source DB:  PubMed          Journal:  Surg Neurol Int        ISSN: 2152-7806


INTRODUCTION

Patients submitted to any operation are susceptible to surgical site infections (SSIs), defined as an infectious process arising until 30 days after the procedure without prosthetic material or 1 year if prosthetic material is implanted.[16] For craniotomies, the current evidence states that the risk of incurring in this postoperative complication ranges around 2.4–8%.[11,14,17] Even low-risk patients for cranial SSI, that is, non-emergency, clean, and short duration (<4 h) craniotomies, can suffer from these infections.[14] Furthermore, the dire financial consequences are occasionally unaffordable for patients and the health-care system – the cost per SSI case has been estimated at around £10 000.[17] Patients with brain tumors usually present one or more risk factors for postcraniotomy infection, namely, prolonged operative times, reoperations, sinus contamination, cerebrospinal fluid (CSF) leak, and radiation therapy.[11] The immune impairment and inflammation inherent to oncological conditions[5,13] can further facilitate the proliferation of bacteria. Oncological treatments themselves can predispose to infections – there are reports that patients treated with bevacizumab, for instance, can have rates of craniotomy infection as high as 35%.[7] There is no concise guideline on the management of SSI in neurosurgery.[20] Therefore, the decision-making in SSI is often based on subjective judgments. The primary objective of this study was to analyze whether early debridement improved survival compared to antibiotic therapy alone in patients with postcraniotomy infections after oncological neurosurgeries. The secondary objective was to analyze possible prognostic markers.

MATERIALS AND METHODS

We retrospectively reviewed patient records from 2011 to 2019 to identify patients that had been reoperated for the debridement of SSI after brain tumor resection. Out of 81 SSI cases, 57 had undergone debridement. Patient data retrieved included age, gender, hospital length of stay (LOS), necessity of antibiotics at discharge, primary tumor site, and presence of metastasis (both intra and extracranial). If SSI was suspected but not clinically evident, the diagnosis was confirmed by CSF analysis or contrast-based imaging examinations, such as head computed tomography or magnetic resonance imaging. Immediately after diagnosis, broad-spectrum antibiotics were started for all patients. Debridement consisted of wound exposure, collected samples for microbiological analysis, thorough irrigation with saline, removal of any devitalized tissue, with or without CSF leak repair, and removal of infected bones. It was indicated in case of persistent inflammatory signs on surgical site, worsening in laboratory work-up, persistent fever, or CSF leak. The interval between SSI diagnosis and surgical debridement was also recorded. All patients had undergone antibiotic prophylaxis with first generation cephalosporins in their previous surgeries. Clinical and laboratory baseline data were collected from the 1st day of SSI diagnosis. CSF cultures were analyzed to diagnose meningitis and imaging was analyzed to diagnose abscesses. Functional assessment was recorded according to the World Federation of Neurological Societies (WFNS) scale before and after surgery, and patients who were not deceased had their follow-up censored at their last outpatient appointment. Leukocyte differential and neutrophil-lymphocyte ratio (NLR) were studied as possible predictors of survival. Due to the diversity of primary tumor sites (including hematologic neoplasia), the differentials were included as percentages. Primary central nervous system (CNS) tumors included glioblastoma multiforme, astrocytoma, and oligodendroglioma. Non-CNS tumors (metastases) included melanoma, non-small cell lung cancer, and clear cell carcinomas. Data are presented as mean (standard deviation) for normally distributed variables, median (interquartile range, IQR) for other continuous variables, and frequencies (valid %) for categorical variables. Welch’s, Wilcoxon’s, and Chi-squared tests were used for comparison of means and frequencies, as appropriate based on the variable’s nature. Survival was studied using Kaplan–Meier survival curves and Cox proportional hazards regressions. Age and metastatic diseases (vs. primary CNS tumor) were included in the multivariable models due to biological plausibility, because both were considered to influence overall survival. Linearity and proportional hazards assumptions were verified both numerically graphically through Schoenfeld and Martingale residuals. Values of P < 0.05 were considered significant. Statistical analyses were performed using R (R Foundation for Statistical Computing. Vienna, Austria, 2018).

RESULTS

Patient characteristics

Over this period, 57 patients were operated for the debridement of SSI. Mean patient age was 52.0 (±13.7) years and 18 (31.6%) were female. Concerning the primary tumor site, 33 (57.9%) had CNS neoplasms, 19 (33.3%) had nonCNS solid neoplasms, 2 (3.5%) had hematologic neoplasms, and three metastatic carcinomas of unknown primary site (5.3%). All patients had either primary CNS tumors or metastatic lesions. Median preoperative WFNS score was 2 (IQR 2). Three patients (5.3%) had associated meningitis and 8 (14%) had intradural abscesses [Table 1].
Table 1:

Patient characteristics.

Patient characteristics. Seven of the primary surgeries were in the posterior fossa (12.3%). Five patients underwent multiple debridements: two patients were operated three times and three had two debridements, resulting in a total of 64 procedures. The most commonly identified bacteria were methicillin-sensitive Staphylococcus aureus (MSSA), in 16 (28.1%) cases, followed by MSSA, in 15 (26.3%). In ten cases, culture reports were negative [Table 2], and eight patients had polymicrobial infection. Three patients (5.3%) evolved with chronic osteomyelitis (>6 weeks), all of them having undergone debridement in the first 24 h of infection.
Table 2:

Most frequent microorganisms detected by culture.

Most frequent microorganisms detected by culture. Time between SSI diagnosis and debridement ranged from 0 to 17 days, but the median was 2 days (IQR 4.75). At discharge, the median WFNS score was 1 (IQR 2). Patients’ median follow-up time was 326.5 days. During follow-up, 38 (66.6%) patients died. The median follow-up of these patients was 276 days (IQR 585.75) and five of them (8.8%) survived <30 days.

Early debridement

Time between infection diagnosis and debridement was first analyzed as a continuous variable [Table 3] and the number of days until surgical intervention did not influence mortality in both univariate (Hazard ratio [HR] 1.04, 95% Confidence interval [CI] 0.96–1.13) and multivariable analyses (HR 1.03, 95% CI 0.93–1.13), adjusted for age, presence of abscess, and metastatic disease [Figure 1]. This delay was also studied as a binary variable, using multiple time frames (24 h, 48 h, and 72 h), and debridement after these time limits also did not result in additional mortality risk in multivariable, adjusted for age, and metastasis (compared to primary CNS tumors) [Table 4].
Table 3:

Association between survival and time from diagnosis to debridement.

Figure 1:

Kaplan–Meier curves for different time periods between infection diagnosis and debridement. Surgical debridement occurred at various different time periods from clinical diagnosis of surgical site infection (SSI). The curves represent cumulative survival for patients who underwent debridement <24 h after SSI diagnosis (full line), >24 h (dashed line), >48 h (dotted line), and >72 h (dash-and-dot line). Vertical dashes represent censored data. There were no significant differences in survival among groups (log-rank, all P > 0.05).

Table 4:

Different time periods of clinical treatment.

Association between survival and time from diagnosis to debridement. Different time periods of clinical treatment. Kaplan–Meier curves for different time periods between infection diagnosis and debridement. Surgical debridement occurred at various different time periods from clinical diagnosis of surgical site infection (SSI). The curves represent cumulative survival for patients who underwent debridement <24 h after SSI diagnosis (full line), >24 h (dashed line), >48 h (dotted line), and >72 h (dash-and-dot line). Vertical dashes represent censored data. There were no significant differences in survival among groups (log-rank, all P > 0.05). Antibiotics were maintained at discharge for 25 patients (46.3%) and early (<24 h) debridement did not influence this rate (χ2 = 0.40, P = 0.53). The same was true for different time frames (48 h and 72 h, both P > 0.4). Median LOS was 21 days (IQR = 23.5) in general, 15 days (IQR = 14) for those who underwent debridement <24 h, 26 days (IQR = 30) for those who underwent debridement > 24 h, and 23.5 days (IQR = 20.75) for debridement >48 h. No differences were observed for any of the time frames: 24 h (P = 0.16) and 48 h (P = 0.98).

Hematologic parameters, NLR, and prognosis

Hematologic parameters were tested to identify potential outcome predictors of SSI after craniotomy for brain tumor resection. Among the differential leukocyte count, lower survival was observed in patients with a higher percentage of neutrophils (univariate, HR 1.03, 95% CI 1.003–1.05), whereas the opposite was true regarding lymphocytes (univariate, HR 0.95, 95% CI 0.92–0.97). Percentages of eosinophils, basophils, and monocytes did not influence survival. Higher NLR predicted worse prognosis in the multivariable analyses, adjusted for age, and metastatic disease [Table 5]. As a continuous variable, it was associated with the lower survival (HR 1.05, 95% CI 1.01–1.08). Multiple cutoffs were tested [Figure 2]. Thresholds of 2, 2.5, and 3 did not significantly correlate with survival. NLR > 3.5 was associated with a HR of 2.2 (95% CI 1.1–4.2); for values > 4, the associated HR was 1.95 (0.98–3.9); for ratios > 4.5, HR 2.8 (95% CI 1.5–5.4); and for NLR > 5, HR 2.5 (95% CI 1.3–4.8) [Figure 3].
Table 5:

Neutrophil-lymphocyte ratio as a predictor of survival.

Figure 2:

Significance of different NLR thresholds. Significance of multiple neutrophil-lymphocyte ratios (NLR) in multivariable models adjusted for age and presence of metastasis (compared to primary CNS tumors). NLR becomes a robust predictor of worse prognosis for values > 3.5, although the NLR > 4.0 slightly missed the established significance threshold (P = 0.058).

Figure 3:

Kaplan–Meier curves for different NLR cutoffs. Survival curves for different neutrophil-lymphocyte ratios (NLR) cutoffs: 2.0 (a), 2.5 (b), 3.0 (c), 3.5 (d), 4.0 (e), 4.5 (f). In cases of SSI, NLR becomes a significant predictor of worse prognosis above 3.5.

Neutrophil-lymphocyte ratio as a predictor of survival. Significance of different NLR thresholds. Significance of multiple neutrophil-lymphocyte ratios (NLR) in multivariable models adjusted for age and presence of metastasis (compared to primary CNS tumors). NLR becomes a robust predictor of worse prognosis for values > 3.5, although the NLR > 4.0 slightly missed the established significance threshold (P = 0.058). Kaplan–Meier curves for different NLR cutoffs. Survival curves for different neutrophil-lymphocyte ratios (NLR) cutoffs: 2.0 (a), 2.5 (b), 3.0 (c), 3.5 (d), 4.0 (e), 4.5 (f). In cases of SSI, NLR becomes a significant predictor of worse prognosis above 3.5.

DISCUSSION

Our results demonstrate that early debridement does not seem to influence mortality for patients with SSI after craniotomies for brain tumor resection. There were also no differences regarding LOS at the hospital or necessity of antibiotics at discharge. The NLR is a robust prognostic marker in this population. Multiple factors inherent to patients with cancer can predispose them to infections and potentially impair their ability to handle pathogens. These factors might be patient-related (advanced age, comorbidities, and functionality), disease-related (metastasis or bone marrow involvement), or treatment-related conditions (chemotherapy regimen and dosage).[18]

Debridement timing

While risk factors and prophylaxis are better studied and standardized,[14] the management of established infections is somewhat controversial. Antibiotics are mandatory, but surgical debridement is indicated based on subjective or experience-based criteria. Even for bone flap infections, a growing body of evidence proposes more conservative approaches such as salvaging the flap; therefore, avoiding a second surgery might be beneficial for patients in terms of SSI management and treatment of cancer – early start of adjuvant chemo and radiotherapy.[3,6,20,21] Because surgical debridement was taken at many different timings, we analyzed this time-interval under two different perspectives to answer the same question: is it safe to start clinical treatment as first-option treatment for SSI? The continuous analysis [Table 3] failed to demonstrate that a longer period until surgical debridement could change mortality. The dichotomized analyses point in the same direction [Table 4] demonstrating that 24, 48, or 72 h of antibiotic treatment alone before debridement does not seem to influence survival. Even though the majority of patients underwent to debridement surgery, we believe that initial antibiotic course has several advantages for these patients. The early systemic inflammatory response is diminished; therefore, patients are often operated on better clinical conditions. Antibiotics trial can also attenuate a significant portion of SSI leading to less invasive surgical procedures. Our records demonstrated that almost 30% were managed with clinical treatment avoiding unnecessary surgical risks.

Inflammation and prognosis

Inflammation plays a critical role in both oncological and infectious diseases.[12] In this context, the NLR is an inflammatory biomarker whose elevation has been linked to poor prognosis in a myriad of conditions, including pneumonia, coronary artery disease, and cancer.[1,8-10] This easily obtainable value has been shown to correlate strongly with prognosis in patients with glioma.[2,4,5] Our results have demonstrated that high NLR at the 1st day of SSI diagnosis is a strong predictor of worse prognosis for patients with SSI after surgeries for intracranial tumors. Bao et al.[5] have reached an optimal cutoff of 2.50 as outcome predictor for gliomas. On the other hand, Templeton et al.[19] reported a median cutoff of 4.0 in a meta-analysis of one hundred studies on the association between NLR and overall survival of patients with solid tumors. In our analysis of SSI, only values above 3.5 were significantly correlated with higher mortality. There is a clear trend toward higher HRs and stronger significance of the coefficients as the NLR assumes growing values [Figure 2 and Table 5].

Strengths and limitations

Our paper has limitations. The sample size is relatively small, with 57 patients and 64 procedures, and patients can be heterogeneous within the wide clinical spectrum of SSI. Other important outcome measures need additional assessment, such as morbidity, time until infection resolution, or cost analyses. Furthermore, the retrospective design also brings potential biases, such as incomplete records and possible unknown confounders. Indeed, this matter should ideally be tested on a randomized trial to draw definitive conclusions. However, a study of over 2600 craniotomies for tumors resulted in only 39 debridement’s.[15] Therefore, our results are still representative of clinical experience from a high-volume oncologic center; additionally, to the best of our knowledge, this is the first study to compare early debridement with antibiotic therapy for SSI after oncological craniotomies.

CONCLUSION

Early debridement does not seem to influence the survival, rates of antibiotic at discharge, or hospital LOS of patients presenting with SSI after neurosurgery for intracranial tumors. In this setting, delayed debridement based on sound clinical judgment can be considered safe. High NLRs are strong predictors of worse prognosis in this population.
  21 in total

1.  Surgical mortality at 30 days and complications leading to recraniotomy in 2630 consecutive craniotomies for intracranial tumors.

Authors:  Benjamin Lassen; Eirik Helseth; Pål Rønning; David Scheie; Tom Børge Johannesen; Jan Mæhlen; Iver A Langmoen; Torstein R Meling
Journal:  Neurosurgery       Date:  2011-05       Impact factor: 4.654

2.  Bone flap salvage in acute surgical site infection after craniotomy for tumor resection.

Authors:  David J Wallace; Michael J McGinity; John R Floyd
Journal:  Neurosurg Rev       Date:  2018-02-10       Impact factor: 3.042

3.  Salvage of infected craniotomy bone flaps with the wash-in, wash-out indwelling antibiotic irrigation system. Technical note and case series of 12 patients.

Authors:  Kurtis I Auguste; Michael W McDermott
Journal:  J Neurosurg       Date:  2006-10       Impact factor: 5.115

4.  Clinical significance of positive cranial bone flap cultures and associated risk of surgical site infection after craniotomies or craniectomies.

Authors:  Hsiu-yin Chiang; Victoria M Steelman; Jean M Pottinger; Annette J Schlueter; Daniel J Diekema; Jeremy D W Greenlee; Matthew A Howard; Loreen A Herwaldt
Journal:  J Neurosurg       Date:  2011-03-04       Impact factor: 5.115

Review 5.  Infection profiles of different chemotherapy regimens and the clinical feasibility of antimicrobial prophylaxis in patients with DLBCL.

Authors:  Akihiro Ohmoto; Shigeo Fuji
Journal:  Blood Rev       Date:  2020-07-20       Impact factor: 8.250

Review 6.  Prognostic role of neutrophil-to-lymphocyte ratio in solid tumors: a systematic review and meta-analysis.

Authors:  Arnoud J Templeton; Mairéad G McNamara; Boštjan Šeruga; Francisco E Vera-Badillo; Priya Aneja; Alberto Ocaña; Raya Leibowitz-Amit; Guru Sonpavde; Jennifer J Knox; Ben Tran; Ian F Tannock; Eitan Amir
Journal:  J Natl Cancer Inst       Date:  2014-05-29       Impact factor: 13.506

7.  Pus and free bone flaps.

Authors:  Lars Widdel; Ken R Winston
Journal:  J Neurosurg Pediatr       Date:  2009-10       Impact factor: 2.375

8.  Lymphocytopenia and neutrophil-lymphocyte count ratio predict bacteremia better than conventional infection markers in an emergency care unit.

Authors:  Cornelis P C de Jager; Paul T L van Wijk; Rejiv B Mathoera; Jacqueline de Jongh-Leuvenink; Tom van der Poll; Peter C Wever
Journal:  Crit Care       Date:  2010-10-29       Impact factor: 9.097

9.  Association of preoperative levels of selected blood inflammatory markers with prognosis in gliomas.

Authors:  Raushan Auezova; Nurzhan Ryskeldiev; Aidos Doskaliyev; Yerbol Kuanyshev; Berik Zhetpisbaev; Nurgul Aldiyarova; Natalia Ivanova; Serik Akshulakov; Lizette Auezova
Journal:  Onco Targets Ther       Date:  2016-10-11       Impact factor: 4.147

10.  Inflammation biomarkers in blood as mortality predictors in community-acquired pneumonia admitted patients: Importance of comparison with neutrophil count percentage or neutrophil-lymphocyte ratio.

Authors:  Jose Curbelo; Sergio Luquero Bueno; José María Galván-Román; Mara Ortega-Gómez; Olga Rajas; Guillermo Fernández-Jiménez; Lorena Vega-Piris; Francisco Rodríguez-Salvanes; Belén Arnalich; Ana Díaz; Ramón Costa; Hortensia de la Fuente; Ángel Lancho; Carmen Suárez; Julio Ancochea; Javier Aspa
Journal:  PLoS One       Date:  2017-03-16       Impact factor: 3.240

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