Skip to main content
Antibiotics logoLink to Antibiotics
. 2022 May 12;11(5):649. doi: 10.3390/antibiotics11050649

Routine Postoperative Antibiotic Prophylaxis Offers No Benefit after Hepatectomy—A Systematic Review and Meta-Analysis

Anastasia Murtha-Lemekhova 1,*, Juri Fuchs 1, Miriam Teroerde 1, Ute Chiriac 2, Rosa Klotz 1,3, Daniel Hornuss 4, Jan Larmann 5, Markus A Weigand 5, Katrin Hoffmann 1
Editors: Daniel Echeverría-Esnal, Santíago Grau, Silvia Gómez-Zorrilla
PMCID: PMC9138010  PMID: 35625294

Abstract

Background: Prophylactic antibiotics are frequently administered after major abdominal surgery including hepatectomies aiming to prevent infective complications. Yet, excessive use of antibiotics increases resistance in bacteria. The aim of this systematic review and meta-analysis is to assess the efficacy of prophylactic antibiotics after hepatectomy (postoperative antibiotic prophylaxis, POA). Method: This systematic review and meta-analysis were completed according to the current PRISMA guidelines. The protocol has been registered prior to data extraction (PROSPERO registration Nr: CRD42021288510). MEDLINE, Web of Science and CENTRAL were searched for clinical reports on POA in hepatectomy restrictions. A random-effects model was used for synthesis. Methodological quality was assessed with RoB2 and ROBINS-I. GRADE was used for the quality of evidence assessment. Results: Nine comparative studies comprising 2987 patients were identified: six randomized controlled trials (RCTs) and three retrospectives. POA did not lead to a reduction in postoperative infective complications or have an effect on liver-specific complications—post-hepatectomy liver failure and biliary leaks. POA over four or more days was associated with increased rates of deep surgical site infections compared to short-term administration for up to two days (OR 1.54; 95% CI [1.17;2.03]; p = 0.03). Routine POA led to significantly higher MRSA incidence as a pathogen (p = 0.0073). Overall, the risk of bias in the studies was low and the quality of evidence moderate. Conclusion: Routine POA cannot be recommended after hepatectomy since it does not reduce postoperative infection or liver-specific complications but contributes to resistance in bacteria. Studies into individualized risk-adapted antibiotic prophylaxis strategies are needed to further optimize perioperative treatment in liver surgery.

Keywords: antibiotics, hepatectomy, liver surgery, antibiotic stewardship, meta-analysis, infection, surgical site infection, antibiotic resistance

1. Introduction

Surgical site infections (SSI) are the most prevalent complication after abdominal surgery, developing in up to 20% of patients [1]. In patients with SSI, mortality increases by over 12%, making strategies to reduce SSI a priority [1]. As the skin barrier is pierced during surgery, bacteria enter the abdominal cavity. In order to avoid clinically significant complications from this spread, standard hygiene measures must be adhered to [2]. In addition to decontamination and disinfection measures, perioperative antibiotic prophylaxis is given in major abdominal surgery to prevent postoperative infections. Ideally, this prophylaxis is given within 120 min before the incision [3]. Despite standards for hygiene, operations lasting longer than 3 h, those associated with high blood loss and blood transfusions, or requiring a long period of anesthesia are major risk factors for postoperative infections [2]. Moreover, the length of stay in the intensive care unit, as well as the total length of hospital stay, systemic comorbidities, previous antibiotic therapy and the degree of contamination of the operation are all risk factors for SSI [4].

Current evidence in colorectal surgery, interventions with inherent potential for site contamination, shows that single-dose prophylactic administration of antibiotics is non-inferior to prophylactic administration of three peri-operative doses [5]. Sporadic and unsubstantiated administration of antibiotics disrupts microbiota within the body and drives resistance in bacteria, which can lead to intractable infections [6]. This instigates questions whether abdominal surgeries with lower contamination potential require the redosing of perioperative antibiotics at all.

In addition to synthetic, excretory and metabolic functions, the liver is an immunologic organ [7]. After hepatectomy, the remnant must establish a new equilibrium in order to support all necessary functions. This is a major regeneration stimulus that transiently leads to a decline in function as commonly seen in the liver’s synthetic capabilities [8]. Post-hepatectomy infections are a major driver of morbidity and mortality as well as an increasing burden on healthcare costs [6]. Infective complications occur in up to 50% of patients after hepatectomy and up to 80% of patients with post-hepatectomy liver failure (PHLF) [8]. PHLF is a major contributor to mortality after liver surgery and preventing it remains the priority in research and clinical practice. While infection can cause PHLF, it can also be its consequence as well as the reason for fulminant progression. Thus, strategies to reduce postoperative infection in hepatectomy patients must be investigated to identify and select the most effective ones.

The aim of this systematic review and meta-analysis is to assess the efficacy of postoperative antibiotic prophylaxis in patients after hepatectomy.

2. Methods

The systematic review and meta-analysis were performed and reported in accordance with the current PRISMA guidelines [9]. The protocol of this meta-analysis has been registered prior to data extraction (PROSPERO registration Nr: CRD42021288510) [10]. Only studies that fulfilled the following PICO criteria were included in this systematic review:

  • Population: patients undergoing liver resections

  • Intervention: postoperative antibiotics beyond the first postoperative day (POD1) (POA)

  • Comparison: no postoperative antibiotics beyond POD1 (control)

  • Outcome: SSI (overall, superficial, and deep/organ), remote infections, sepsis, PHLF, bile leakage/bilioma, and microbiota changes

  • Study design: comparative studies

An analysis was also performed if studies compared two postoperative antibiotic prophylaxis strategies.

2.1. Literature Search

A systematic literature search was carried out according to the recent recommendations using databases MEDLINE via PubMed, Web of Science and CENTRAL without language or date restriction [11]. The aim of the search was to identify all comparative reports on postoperative antibiotic prophylaxis after hepatectomy. The search strategy included the terms “hepatectomy” and “antibiotic”, as well as their synonyms. The full strategy is provided as Supplementary Material (Supplementary Material Table S1). An additional hand search was performed through the references of included studies. The last search was performed on 30 September 2021.

2.2. Study Selection

The study methodology was restricted to comparative studies. The design of comparative studies was unrestricted and included randomized-controlled trials (RCTs), propensity score-matched trials, prospective and retrospective reports. Comments, editorials, meeting abstracts, correspondence and reviews were excluded. The screening of titles, abstracts, as well as of full texts was carried out by two independent reviewers (AML and JF) and subsequently compared. All disagreements were resolved through discussion and consensus with consultation with another reviewer (KH).

2.3. Data Extraction

Data extraction was performed by two independent reviewers (AML and JF) using a standardized form prepared prior to extraction and adjusted based on the first three data extractions. Following raw data were extracted: title of the publication, year, author, country, journal, study design, number of study groups, the total number of patients, patient characteristics, factors, indications for hepatectomy, if and type of underlying liver disease was present, type of hepatectomy, rates of complications—SSI (overall, superficial and deep), remote infections, sepsis, post-hepatectomy liver failure (PHLF), bile leakage/bilioma, microbiota changes. The reviewers also noted the sources of funding for the included studies.

2.4. Statistical Analysis

Meta-analyses were performed using R (Version 4.0.3) packages “metafor”, “meta”, and “ggplot2”. Summary statistics were performed using an independent t-test or χ2-test when applicable. Forest plots present effect estimates. A random-effects model was utilized for all outcomes. I2 statistics were used to evaluate heterogeneity with an I2 value below 25% indicating low, and over 75% indicating high heterogeneity. Odds ratios and 95% confidence intervals for dichotomous endpoints were pooled with the Mantel-Haenszel method.

2.5. Critical Appraisal of Included Studies

The risk of bias was assessed with Cochrane risk of bias tool 2 (RoB2) for RCTs and the ROBINS-I tool for non-randomized studies included. Certainty of evidence was assessed using GRADE. The assessments were performed by two independent reviewers (AML and JF) with consultation by a third reviewer on demand.

3. Results

After the exclusion of duplicates, 1876 records were screened for eligibility. After titles and abstract screening, 20 reports were assessed for eligibility based on full texts. Ultimately, nine reports were included in the qualitative and quantitative synthesis [12,13,14,15,16,17,18,19,20]. Figure 1 provides a detailed report of the study selection process.

Figure 1.

Figure 1

Study selection process.

Based on the results of the full-text screening, the following outcomes could be evaluated in the quantitative analysis: infective complications (overall surgical-site infections, superficial and deep SSIs, remote infections and sepsis) and liver-specific complications (PHLF and bile leakage). Table 1 provides details of included studies.

Table 1.

Included studies.

Report Study Design Indications for Hepatectomy Type of Hepatectomy Method of Access Number of Patients in Intervention Group Number of Patients in Control Group Duration of Intervention Regimen Duration of Control Regimen Antibiotic Investigated
Chen 2021 Retrospective HCC Unspecified Unspecified 456 478 Various None Cephalosporins
Hirokawa 2013 RCT Various Major/Minor Unspecified 94 94 3 days None Flomoxef sodium
Sakoda 2017 Retrospective Various Major/Minor Open/Laparoscopic 115 93 3 days None Cefotiam
Shinkawa 2019 RetrospectiveSubgroups propensity score matched Various Major/Minor Open/Laparoscopic 75 173 3 days None Flomoxef sodium
Sugawara 2018 RCT Various Major Unspecified 43 43 4 days 2 days Various
Takayama 2019 RCT HCC Major/Minor Open 235 232 3 days None Flomoxef sodium
Togo 2007 RCT Various Major/Minor Unspecified 91 89 5 days 2 days Flomoxef sodium
Wu 1998 RCT Various Major/Minor Unspecified 65 62 7 days None Cephazolin/gentamicin
Gupta 2021 RCT Live liver donors Major/Minor Open/Laparoscopic 64 62 9 doses 3 doses Piperacillin/Tazobactam

HCC: hepatocellular carcinoma; RCT: randomized controlled trial.

3.1. Critical Appraisal of Included Studies

Risk of bias assessment was performed for randomized controlled trials using the Cochrane Risk of Bias tool, Version 2 (Table 2). For retrospective comparative studies without randomization, the ROBINS-I tool was used (Table 3). Overall, included studies had a low risk of bias.

Table 2.

RoB2 for included RCTs.

Randomization Process Deviations from Intended Interventions Missing Outcome Data Measurement of the Outcome Selection of the Reported Results Overall
Hirokawa 2013 [9] graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i002.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg
Sugawara 2018 [14] graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg
Takayama 2019 [12] graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i002.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg
Togo 2007 [15] graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i002.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg
Wu 1998 [13] graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i002.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg
Gupta 2021 [8] graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i002.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg graphic file with name antibiotics-11-00649-i001.jpg

Inline graphic Low risk Inline graphic Some concern Inline graphic High risk.

Table 3.

ROBINS-I for included non-randomized comparative studies.

Bias Due to Confounding Bias in Selection of Participants into the Study Bias in Classification of Interventions Bias Due to Deviations from Intended Interventions Bias Due to Missing Data Bias in Measurement of Outcomes Bias in Selection of the Reported Results Overall
Chen 2021 [7]
Sakoda 2017 [10]
Shinkawa 2019 [11]

Low, Moderate, High.

3.2. Patient Demographics

Cumulatively, 2987 patients were included in the meta-analysis. Most patients were male and had undergone an open hepatectomy for HCC. The summary demographics are provided in Table 4. Patients that did not receive post-operative antibiotics beyond POD1 (control) versus those patients that did (POA), did not vary significantly in age, gender, indications for surgery, type of surgery performed, or whether the surgery was performed through laparotomy or laparoscopically (Table 4).

Table 4.

Summary demographics.

No AB POAs Level of Significance **
Age * 63.4 ± 11.9 62.5 ± 13.4 0.519
Gender 0.130
  • -

    Male

580 485
  • -

    Female

228 226
Indication 0.726
  • -

    HCC

782 809
  • -

    CC

3 5
  • -

    CRLM

48 40
  • -

    LDLT

63 68
  • -

    Other

10 14
Type of surgery 0.215
  • -

    Major

231 226
  • -

    Minor

565 481
Mode of surgery 0.274
  • -

    Open

512 454
  • -

    Laparoscopic

130 98

HCC: hepatocellular carcinoma; CC: cholangiocarcinoma; CRLM: colorectal liver metastasis; LDLT: living donor liver transplantation; * Expressed as mean with standard deviation; ** Significance determined with an independent t-test for continuous and χ2-test for categorical variables.

3.3. Infective Complications

The main outcome of included studies and of this meta-analysis is surgical site infections. Seven studies [12,13,14,15,16,18,20] provided data for surgical site infection in patients receiving no postoperative antibiotics (control) compared to those given antibiotics until at least postoperative day 3 (POD3). Patients in the control group did not show higher rates of surgical site infections, whether deep, superficial, or overall, compared to those who received POA (Figure 2).

Figure 2.

Figure 2

Forest plots for surgical site infections in patients with POA versus control. (A) Forest plot for surgical site infections in patients with POA versus control; (B) Forest plot for superficial surgical site infections in patients with POA versus control; (C) Forest plot for deep surgical site infections in patients with POA versus control. A random-effects model was utilized for all outcomes due to heterogenic methodological and clinical framework of included studies. Statistical heterogeneity was evaluated using the I2 statistics. An I2 value below 25% indicated low heterogeneity, while over 75% was considered high.

Rates of overall remote infections did not differ significantly either and sepsis complications were comparable between groups (Figure 3).

Figure 3.

Figure 3

Forest plots for remote infections in patients with POA versus control. (A) Forest plot for remote infections in patients with POA versus control; (B) Forest plot for sepsis in patients with POA versus control. A random-effects model was utilized for all outcomes due to heterogenic methodological and clinical framework of included studies. Statistical heterogeneity was evaluated using the I2 statistics. An I2 value below 25% indicated low heterogeneity, while over 75% was considered high.

A subgroup analysis of matched studies, as well as RCTs only was performed. Neither subgroup analysis revealed any significant effect of POA (Forest plots for subgroup analyses are provided as Supplementary Figures S1–S4).

Two studies [17,19] analyzed two regimens of prolonged POA—until POD2 (POA2) or for at least 4 PODs (POA4). Although there was no significant difference in both groups regarding overall and superficial surgical site infections, deep surgical site infections occurred significantly more frequently in patients receiving longer regimens (Figure 4).

Figure 4.

Figure 4

Forest plots for surgical site infections in patients with POA2 versus POA4. (A) Forest plot for surgical site infections in patients with POA2 versus POA4; (B) Forest plot for superficial surgical site infections in patients with POA2 versus POA4; (C) Forest plot for deep surgical site infections in patients with POA2 versus POA4. A random-effects model was utilized for all outcomes due to heterogenic methodological and clinical framework of included studies. Statistical heterogeneity was evaluated using the I2 statistics. An I2 value below 25% indicated low heterogeneity, while over 75% was considered high.

Remote infections rates were similar in both groups of prolonged POA (OR 0.77 95% CI [0.17; 3.47]; p = 0.82).

3.4. Liver-Specific Complications

Liver-specific complications—PHLF or postoperative bile leakage—were reported in six studies [13,14,15,16,18,20]. Neither PHLF nor bile leakage occurred more frequently in either group (Figure 5).

Figure 5.

Figure 5

Forest plots for liver specific complications in patients with POA versus control. (A) Forest plot for PHLF in patients with POA versus control; (B) Forest plot for bile leakage in patients with POA versus control. A random-effects model was utilized for all outcomes due to heterogenic methodological and clinical framework of included studies. Statistical heterogeneity was evaluated using the I2 statistics. An I2 value below 25% indicated low heterogeneity, while over 75% was considered high.

Subgroup analysis for PHLF did not reveal any significant difference (OR 0.70 95% CI [0.00; 119136]; p = 0.82). For this outcome results from matched and RCT groups were identical. Postoperative bile leakage also showed no significant differences between groups (matched group: OR 1.45 95% CI [0.55; 3.83]; p = 0.57; RCT group: OR 1.79 95% CI [0.44; 7.35]; p = 0.58).

For two prolonged antibiotic regimens (POA2 and POA4), only bile leakage was reported in both studies. No significant difference was shown (OR 0.85 95% CI [0.00; 1887.02]; p = 0.83).

3.5. Pathogenic Isolates

The most common pathogenic isolates for control versus POA were provided by six studies comparing POA versus control [12,14,15,16,18,20] and are depicted in Figure 6.

Figure 6.

Figure 6

Most common pathogenic isolates. * statistically significant difference as determined by the χ2-test.

Methicillin-resistant Staphylococcus aureus (MRSA) was detected significantly more as the pathogenic isolate in patients with routine POA, while S. aureus (without resistance) was detected significantly more often in the control group (p = 0.007293 and p = 0.000399, respectively, as determined by the χ2-test). The incidence of S. aureus as the pathogenic isolate regardless of the resistance was similar in both groups (p = 0.507111). All other pathogens did not show a statistically significant variation in this analysis. The association between deep SSIs and MRSA could not be tested due to insufficient raw data provided by individual studies.

3.6. Certainty of Evidence

GRADE (grading of recommendations assessment, development and evaluation) approach was used to rate the certainty of evidence. An overview of the main outcomes is provided in Table 5.

Table 5.

Certainty of the evidence for outcomes of the main analysis.

Outcome № of Included Studies Certainty of the Evidence (GRADE) Relative Effect(95% CI)
Surgical site infections 7 (4 RCTs, 3 retrospective) ⨁⨁⨁◯
Moderate
OR 0.87
[0.54; 1.41]
Superficial surgical site infections 7 (4 RCTs, 3 retrospective) ⨁⨁⨁◯
Moderate
OR 0.74
[0.34; 1.58]
Deep surgical site infections 6 (3 RCTs, 3 retrospective) ⨁⨁⨁◯
Moderate
OR 1.11
[0.57; 2.15]
Remote infections 7 (4 RCTs, 3 retrospective) ⨁⨁⨁◯
Moderate
OR 0.90
[0.40; 2.01]
Sepsis 3 (2 RCTs, 1 retrospective) ⨁⨁◯◯
LOW
OR 1.22
[0.19; 7.77]
PHLF 3 (2 RCTs, 1 retrospective) ⨁⨁◯◯
LOW
OR 0.77
[0.07; 8.86]
Bile leakage 6 (4 RCTs 2 retrospective) ⨁⨁⨁◯
Moderate
OR 1.31
[0.62; 2.78]

CI: Confidence interval; OR: odds ratio.

Overall, the quality of evidence was rated as moderate with two outcomes (PHLF and sepsis) downgraded due to the low number of studies.

4. Discussion

Liver surgery is a rapidly growing surgical specialty with expanding indications and novel techniques appearing and constantly evolving [21,22]. In addition to technique optimization, it is important to improve perioperative management. With complication rates reaching 31% for hepatectomy, validated strategies to reduce morbidity are wanted [23]. Postoperative antibiotic prophylaxis has been a subject of debate recently as more and more studies failed to show the benefit of this practice even in cases of intraoperative contamination [24,25,26]. There is an exceeding need for improving strategies for antibiotic use within clinical settings. Previous network meta-analysis of five studies has compared various antibiotic strategies and did not reveal a benefit of additional antibiotics, findings which were confirmed in the current meta-analysis of nine studies [27]. The growth and spread of multidrug-resistant bacteria lead to increased mortality, morbidity and healthcare cost [6]. A major driver of multidrug resistance is sporadic and unnecessary antibiotic use. An evidence-based approach to antibiotic administration is needed and with this, common, empirically-driven practices must be evaluated and verified. Current meta-analysis suggests an increase of resistance in pathogens after postoperative antibiotic prophylaxis without the benefit of a reduced rate of overall infections.

After hepatectomy, liver function suffers from a transient decline, which is predominantly evident by systematic measurements of protein synthesis and coagulation parameters [8]. How hepatic immunologic function is affected is less clear. Since antibiotics are predominantly metabolized by the hepatocytes, strategies to reduce potential injury to the liver are invaluable. During the perilous phase where the liver must regenerate to accommodate the demands of the organism, the question emerges if antibiotics provide additional support or a hurdle.

This meta-analysis provides first glimpses into the efficacy of postoperative prophylactic antibiotics after hepatectomy. Prophylactic use of postoperative antibiotics fails to show any significant improvement in terms of infective or liver-specific complications. In fact, prolonged administration of antibiotics for more than four days was associated with more deep surgical site infections. Although counterintuitive at first glance, antibiotics only select bacteria, which leads to increased resistance [6]. With more resistance, difficult-to-treat bacteria can spread and become problematic for the organism to clear. With drug-resistant bacteria becoming a major burden on healthcare due to high associated mortality, morbidity and treatment cost, reduction of resistance becomes an increasingly important research area [28]. Postoperative antibiotic prophylaxis after hepatectomy leads to increased multi-drug resistance in Staphylococcus aureus. Whether other resistances increase as well, e.g., in bacteria that were not primarily pathogenic, remains unclear. Long-term consequences of increased resistant bacteria, in particular MRSA, in patients after hepatectomy, too, remain unclear but can only be anticipated as undesirable.

Increasing evidence suggests that when it comes to antibiotics, less is more unless it’s sepsis. With this thought in mind, clinicians must critically reexamine antibiotic strategies. The appraisal for postoperative antibiotic prophylaxis after hepatectomy reveals the strategy as inadequate and superfluous, thus one that should be abandoned.

Certainty of Evidence

The main limitation of the analysis is the limited number of studies on the topic. Simultaneously, with most RCTs, the quality of evidence is satisfactory. Various studies had different regimens implemented with most comparing no post-operative antibiotics versus three days. However, three doses versus nine, as well as zero versus seven days of antibiotics were also compared. This brings a certain heterogeneity into the analysis. Different antibiotics were utilized as prophylactics with principally flomoxef sodium administered.

The risk of bias in included studies was generally low and the certainty of the evidence was overall moderate based on the methodology of the studies. This is the highest certainty of evidence available to date.

5. Conclusions

Routine postoperative antibiotic prophylaxis cannot be recommended for patients after hepatectomy and the administration should be discouraged. Prolonged exposure to antibiotic prophylaxis leads to an increase in resistant bacteria and thus bears an additional risk for patients. Prophylactic antibiotic strategies must be assessed for their efficacy and safety to further optimize liver surgery. Studies into individualized risk-adapted antibiotic prophylaxis strategies are needed to further optimize perioperative treatment in liver surgery.

Acknowledgments

For the publication fee we acknowledge financial support by Deutsche Forschungsgemeinschaft within the funding program “Open Access Publikationskosten” as well as by Heidelberg University.

Abbreviations

CI Confidence Interval
GRADE Grading of Recommendations Assessment, Development and Evaluation
HCC Hepatocellular Carcinoma
MRSA Methicillin-resistant Staphylococcus aureus
OR Odds Ratio
PHLF Post-Hepatectomy Liver Failure
PICOS Patients, Intervention, Comparison, Outcome, Study design
POA Postoperative Antibiotics
POD Postoperative Day
PRISMA Preferred Reporting Items for Systematic Review and Meta-Analysis
RCT Randomized Controlled Trial
RoB2 Risk of Bias
ROBINS-I Risk of Bias in Non-randomized Studies of Interventions
SSI Surgical Site Infections

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/antibiotics11050649/s1, Table S1: Search strategy; Figure S1: Forest plot for overall surgical site infections in patients with POA versus control—matched subgroup; Figure S2: Forest plot for overall remote infections in patients with POA versus control—matched subgroup; Figure S3: Forest plot for overall surgical site infections in patients with POA versus control—RCT subgroup; Figure S4: Forest plot for overall remote infections in patients with POA versus control—RCT subgroup.

Author Contributions

Conception and literature review, A.M.-L.; systematic review and data extraction, A.M.-L. and J.F.; methodology, A.M.-L., K.H., J.F. and R.K.; manuscript—draft, A.M.-L.; manuscript—revision and editing, A.M.-L., K.H., J.F., M.T., U.C., R.K., D.H., J.L. and M.A.W. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data generated or analyzed during this study are included in this published article and its Supplementary Information Files.

Conflicts of Interest

The authors declare no conflict of interest.

Funding Statement

The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Young P.Y., Khadaroo R.G. Surgical Site Infections. Surg. Clin. N. Am. 2014;94:1245–1264. doi: 10.1016/j.suc.2014.08.008. [DOI] [PubMed] [Google Scholar]
  • 2.Cheadle W.G. Risk factors for surgical site infection. Surg. Infect. 2006;7((Suppl. 1)):S7–S11. doi: 10.1089/sur.2006.7.s1-7. [DOI] [PubMed] [Google Scholar]
  • 3.Liu J., Li N., Hao J., Li Y., Liu A., Wu Y., Cai M. Impact of the Antibiotic Stewardship Program on Prevention and Control of Surgical Site Infection during Peri-Operative Clean Surgery. Surg. Infect. 2018;19:326–333. doi: 10.1089/sur.2017.201. [DOI] [PubMed] [Google Scholar]
  • 4.Owens C.D., Stoessel K. Surgical site infections: Epidemiology, microbiology and prevention. J. Hosp. Infect. 2008;70((Suppl. 2)):3–10. doi: 10.1016/S0195-6701(08)60017-1. [DOI] [PubMed] [Google Scholar]
  • 5.Ahn B.K., Lee K.H. Single-dose antibiotic prophylaxis is effective enough in colorectal surgery. ANZ J. Surg. 2013;83:641–645. doi: 10.1111/j.1445-2197.2012.06244.x. [DOI] [PubMed] [Google Scholar]
  • 6.Medina E., Pieper D.H. Tackling Threats and Future Problems of Multidrug-Resistant Bacteria. Curr. Top. Microbiol. Immunol. 2016;398:3–33. doi: 10.1007/82_2016_492. [DOI] [PubMed] [Google Scholar]
  • 7.Robinson M.W., Harmon C., O’Farrelly C. Liver immunology and its role in inflammation and homeostasis. Cell. Mol. Immunol. 2016;13:267–276. doi: 10.1038/cmi.2016.3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Siu J., McCall J., Connor S. Systematic review of pathophysiological changes following hepatic resection. HPB. 2014;16:407–421. doi: 10.1111/hpb.12164. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Page M.J., McKenzie J.E., Bossuyt P.M., Boutron I., Hoffmann T.C., Mulrow C.D., Shamseer L., Tetzlaff J.M., Akl E.A., Brennan S.E., et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi: 10.1136/bmj.n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Murtha-Lemekhova A., Teoerde M., Fuchs J., Hoffmann K. Postoperative Antibiotics in Hepatectomy—A Systematic Review and Meta-Analysis. PROSPERO 2021. CRD42021288510. [(accessed on 9 May 2022)]. Available online: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021288510.
  • 11.Kalkum E., Klotz R., Seide S., Hüttner F.J., Kowalewski K.-F., Nickel F., Khajeh E., Knebel P., Diener M.K., Probst P. Systematic reviews in surgery-recommendations from the Study Center of the German Society of Surgery. Langenbecks Arch. Surg. 2021;406:1723–1731. doi: 10.1007/s00423-021-02204-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Chen Z., Jiang H., Wang Y., Liang R., Xu L., Lai J., Shen J., Li J., Li D., Li S., et al. Three-day postoperative antibiotics reduces post-hepatectomy infection rate in hepatitis B virus-related hepatocellular carcinoma. J. Gastroenterol. Hepatol. 2021;36:2531–2539. doi: 10.1111/jgh.15528. [DOI] [PubMed] [Google Scholar]
  • 13.Gupta S., Sinha P.K., Patil N.S., Mohapatra N., Sindwani G., Garg N., Khillan V., Pamecha V. Randomized control trial on perioperative antibiotic prophylaxis in live liver donors: Are three doses enough? J. Hepatobiliary Pancreat. Sci. 2021:1–9. doi: 10.1002/jhbp.1053. [DOI] [PubMed] [Google Scholar]
  • 14.Hirokawa F., Hayashi M., Miyamoto Y., Asakuma M., Shimizu T., Komeda K., Inoue Y., Uchiyama K., Nishimura Y. Evaluation of postoperative antibiotic prophylaxis after liver resection: A randomized controlled trial. Am. J. Surg. 2013;206:8–15. doi: 10.1016/j.amjsurg.2012.08.016. [DOI] [PubMed] [Google Scholar]
  • 15.Sakoda M., Iino S., Mataki Y., Kawasaki Y., Kurahara H., Maemura K., Ueno S., Natsugoe S. Influence of a Shorter Duration of Post-Operative Antibiotic Prophylaxis on Infectious Complications in Patients Undergoing Elective Liver Resection. Surg. Infect. 2017;18:149–156. doi: 10.1089/sur.2016.170. [DOI] [PubMed] [Google Scholar]
  • 16.Shinkawa H., Tanaka S., Takemura S., Amano R., Kimura K., Nishioka T., Ito T., Miyazaki T., Ishihara A., Kubo S. Giving short-term prophylactic antibiotics in patients undergoing open and laparoscopic hepatic resection. Ann. Gastroenterol. Surg. 2019;3:506–514. doi: 10.1002/ags3.12267. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Sugawara G., Yokoyama Y., Ebata T., Mizuno T., Yagi T., Ando M., Nagino M. Duration of Antimicrobial Prophylaxis in Patients Undergoing Major Hepatectomy with Extrahepatic Bile Duct Resection: A Randomized Controlled Trial. Ann. Surg. 2018;267:142–148. doi: 10.1097/SLA.0000000000002049. [DOI] [PubMed] [Google Scholar]
  • 18.Takayama T., Aramaki O., Shibata T., Oka M., Itamoto T., Shimada M., Isaji S., Kanematsu T., Kubo S., Kusunoki M., et al. Antimicrobial prophylaxis for 1 day versus 3 days in liver cancer surgery: A randomized controlled non-inferiority trial. Surg. Today. 2019;49:859–869. doi: 10.1007/s00595-019-01813-w. [DOI] [PubMed] [Google Scholar]
  • 19.Togo S., Tanaka K., Matsuo K., Nagano Y., Ueda M., Morioka D., Endo I., Shimada H. Duration of antimicrobial prophylaxis in patients undergoing hepatectomy: A prospective randomized controlled trial using flomoxef. J. Antimicrob. Chemother. 2007;59:964–970. doi: 10.1093/jac/dkm028. [DOI] [PubMed] [Google Scholar]
  • 20.Wu C.C., Yeh D.C., Lin M.C., Liu T.J., P’Eng F.K. Prospective randomized trial of systemic antibiotics in patients undergoing liver resection. Br. J. Surg. 1998;85:489–493. doi: 10.1046/j.1365-2168.1998.00606.x. [DOI] [PubMed] [Google Scholar]
  • 21.Hoffmann K., Bulut S., Tekbas A., Hinz U., Büchler M.W., Schemmer P. Is Hepatic Resection for Non-colorectal, Non-neuroendocrine Liver Metastases Justified? Ann. Surg. Oncol. 2015;22((Suppl. 3)):S1083–S1092. doi: 10.1245/s10434-015-4775-x. [DOI] [PubMed] [Google Scholar]
  • 22.Murtha-Lemekhova A., Fuchs J., Schulz E., Sterkenburg A., Probst P., Hoffmann K. Pushing the limit of liver regeneration—Safety and survival after monosegment-ALPPS: Systematic review and individual patient data meta-analysis. HPB. 2021;24:353–358. doi: 10.1016/j.hpb.2021.06.427. [DOI] [PubMed] [Google Scholar]
  • 23.Cipriani F., Ratti F., Cardella A., Catena M., Paganelli M., Aldrighetti L. Laparoscopic Versus Open Major Hepatectomy: Analysis of Clinical Outcomes and Cost Effectiveness in a High-Volume Center. J. Gastrointest. Surg. 2019;23:2163–2173. doi: 10.1007/s11605-019-04112-4. [DOI] [PubMed] [Google Scholar]
  • 24.Kimbrell A.R., Novosel T.J., Collins J.N., Weireter L.J., Terzian H.W., Adams R.T., Beydoun H.A. Do postoperative antibiotics prevent abscess formation in complicated appendicitis? Am. Surg. 2014;80:878–883. doi: 10.1177/000313481408000921. [DOI] [PubMed] [Google Scholar]
  • 25.Montravers P., Tubach F., Lescot T., Veber B., Esposito-Farèse M., Seguin P., Paugam C., Lepape A., Meistelman C., Cousson J., et al. Short-course antibiotic therapy for critically ill patients treated for postoperative intra-abdominal infection: The DURAPOP randomised clinical trial. Intensive Care Med. 2018;44:300–310. doi: 10.1007/s00134-018-5088-x. [DOI] [PubMed] [Google Scholar]
  • 26.Van Rossem C.C., Schreinemacher M.H., van Geloven A.A., Bemelman W.A. Antibiotic Duration After Laparoscopic Appendectomy for Acute Complicated Appendicitis. JAMA Surg. 2016;151:323–329. doi: 10.1001/jamasurg.2015.4236. [DOI] [PubMed] [Google Scholar]
  • 27.Guo T., Ding R., Yang J., Wu P., Liu P., Liu Z., Li Z. Evaluation of different antibiotic prophylaxis strategies for hepatectomy: A network meta-analysis. Medicine. 2019;98:e16241. doi: 10.1097/MD.0000000000016241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Serra-Burriel M., Keys M., Campillo-Artero C., Agodi A., Barchitta M., Gikas A., Palos C., López-Casasnovas G. Impact of multi-drug resistant bacteria on economic and clinical outcomes of healthcare-associated infections in adults: Systematic review and meta-analysis. PLoS ONE. 2020;15:e0227139. doi: 10.1371/journal.pone.0227139. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

All data generated or analyzed during this study are included in this published article and its Supplementary Information Files.


Articles from Antibiotics are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES