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Management and outcome of mesh infection after abdominal wall reconstruction in a tertiary care center

  • Open Access
  • 01.12.2025
  • Original Article
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Abstract

Purpose

Abdominal wall reconstruction is a common surgical procedure, with a post-operative risk of mesh-associated infection of which management is poorly known. This study aims to comprehensively analyze clinical and microbiological aspects of mesh infection, treatment modalities, and associated outcomes.

Methods

Patients with abdominal mesh infection were included in a retrospective observational cohort (2010-2023). Patients characteristics and management were described, and determinants for failure were assessed by logistic regression and treatment failure-free survival curve analysis (Kaplan-Meier).

Results

Two hundred and nine patients (median age, 62 [IQR, 55-71] years) presented a mesh infection occurring within 15 (IQR, 7-31) days after surgery, mainly as an abdominal wall or deep abscess (n=189, 90.4%). Infection was polymicrobial in 89/166 (79.4%) cases, S. aureus (n=60, 36.1%), Enterobacteriaceae (n=60, 36.1%) and anaerobes (n=40, 24.1%) being the most prevalent pathogens. Surgery was performed in 130 (62.2%) patients, associated with a 13.5 (IQR, 8-21) day course of antimicrobial therapy in 172/207 (83.1%) cases. Sixty-three (30.1%) treatment failures occurred, associated with previous multiple abdominal surgeries (OR, 3.305; 95%CI, 1.297-8.425), complete mesh removal (OR, 0.145; 95%CI, 0.063-0.335) and antimicrobial therapy (OR, 0.328; 95%CI, 0.136-0.787). The higher failure rate of conservative strategies was associated with symptom duration >1 month (OR, 3.378; 95%CI, 1.089-4.005) and retromuscular mesh position (OR, 0.444; 95%CI, 0.199-0.992).

Conclusion

Mesh infection is associated with high treatment failure rates. Complete mesh removal coupled with targeted antibiotic therapy is associated with better outcomes. Conservative treatment strategies must rely on careful patient selection based on symptom duration and mesh placement.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Introduction

Reconstruction of abdominal wall defect can be challenging, especially in comorbid patients and/or with complex hernias, following multiple surgeries or abdominal trauma. The final strategy must be safe and effective, and the use of mesh is now one of the most widely-performed surgical procedures [1, 2]. Post-operative infection represents a notable complication, with reported incidences ranging from 0.3% in clean inguinal hernia repairs to as high as 19.6% in complicated hernia cases [3, 4]. Such infections can lead to severe consequences, including sepsis, need for subsequent surgeries, development of chronic fistulas, persistent pain, or hernia recurrence [5]. Determinants of post-operative mesh infection have been extensively documented in existing literature [3, 6, 7]. They include mainly patient- and surgery-related parameters, such as age, body mass index (BMI), smoking status, length of surgery, open surgery compared with laparoscopic procedures, and hernia localization.
Various management strategies have been described [810], involving the following interventions, alone or in combination: systemic antibiotic therapy, percutaneous drainage, complete or partial mesh removal, and negative pressure therapy [11]. However, these strategies have been poorly investigated, and criteria guiding clinicians in the selection of the most appropriate therapeutic approach are not available [12].
The objective of this study is to provide a comprehensive account of the clinical and microbiologic aspects of mesh infection observed in our tertiary care hospital, while describing treatment modalities employed and associated outcomes.

Patients and methods

Ethical statement

The study received the approval of the Scientific and Ethical Committees of Hospices Civils de Lyon, France (reference number 23-5457). In accordance with French legislation regarding retrospective observational studies, all patients received written information about the study and their possibility to decline to participate, but the need for written informed consent was waived.

Study design and data collection

Patients diagnosed with abdominal mesh infection in the four digestive surgery wards of our tertiary care center were identified from records from 2010 to 2023 and included in a retrospective observational cohort study. Patients were identified through electronic medical records by cross-referencing medical documents with keywords related to mesh infection, and using diagnosis data associated with each hospital stay, including a combination of International Classification of Diseases (ICD) codes, and hospital pharmacy registries regarding mesh placement and removal. In patients having experienced several episodes of mesh-related infections, only the first episode was considered.
For each patient, data were collected from medical records into an anonymous standardized case report form. Co-morbidities were summarized using the modified Charlson comorbidity index [13], and the American Society of Anesthesiologists (ASA) score.

Definitions

The diagnosis of mesh infection was based on clinical evaluation by the treating surgeon. Infections involving skin and subcutaneous tissue only were categorized as superficial. All other infections were considered as deep. Assessment of the depth of infection was performed by collecting clinical and surgical data, and imaging reports when available. Patients with the superficial wounds who did not undergo subsequent imaging nor surgery were classified as superficial infection on the basis of clinical findings, only. The time to infection was calculated as the number of days between mesh placement or the last surgery at the site and the onset of symptoms. Antimicrobial therapy was deemed appropriate when all pathogens identified in gold-standard sample cultures were targeted by at least one antimicrobial agent. Treatment was considered conservative in every case where the initial management strategy did not involve complete removal of the mesh. Treatment failure was defined as infection persistence or relapse after treatment on a clinical basis (i.e., wound abnormalities suspected of infection, abscess and/or fistula) and/or the need for additional surgery motivated by septic reasons and not planned in the initial treatment scheme.
Microbiology etiology was described according to the results of cultures from normally sterile site samples, excluding superficial swab. Common contaminants, such as Coagulase-Negative Staphylococci (CNS), Corynebacterium spp. or Cutibacterium spp., were considered only when found in at least two samples.
The mesh material was described according to the manufacturer’s notice, describing both the material used (synthetic, semi-synthetic, biologic) and its resorption characteristics once implanted (absorbable, semi-absorbable, non-absorbable).

Statistical analysis

Variables were presented as percentages for dichotomous variables and as medians with interquartile ranges (IQR) for continuous variables. In percentage calculations, missing values were excluded from the denominator. Groups were compared using non-parametric tests (Chi-square, Fisher exact, and Mann-Whitney U tests), as appropriate. Kaplan-Meier curves were used to compare treatment-failure free survival rates between groups, with statistical significance assessed by the log-rank (Mantel-Cox) test. The same analysis process was applied to the subgroup of patients who did not undergo complete mesh removal (conservative treatment group). After analysis of the whole cohort, and in order to consider a potential recruitment bias, patients primarily managed in our reference center (HCL group), i.e. who were not referred due to a previous mesh infection management failure, were independently analyzed.
Determinants of treatment failure were examined using stepwise binary logistic regression and expressed as odds ratios (ORs) along with their corresponding 95% confidence intervals (95%CI). Variables included in the final multivariate model were selected from non-interacting variables with clinical significance and p-values obtained in univariate analysis less than 0.15. A p-value of less than 0.05 was considered statistically significant. All statistical analyses were performed using SPSS version 19.0 (SPSS, Chicago, IL, USA) and GraphPad Prism version 5.03 (GraphPad, San Diego, CA, USA) softwares.

Results

Included population and index surgery

A total of 209 patients were included, comprising 119 (56.9%) males with a median age of 62 (IQR, 55–71) years. The median modified Charlson’s comorbidity Index was 3 (IQR, 2–3), main comorbidities being obesity (median body mass index [BMI], 29.7 [IQR, 26.4–33.2]; >30 in 96 [46.8%] patients), diabetes mellitus (n = 60, 28.7%) and solid tumor or hemopathy (n = 55, 26.3%). Patient and infection characteristics are summarized in Table 1. The majority (n = 199, 95.2%) of patients had undergone previous abdominal surgery, with multiple procedures in 166 (79.4%) cases. Abdominal wall repair was planned for incisional hernias in 154 (76.2%) patients, mostly using synthetic (n = 131/175, 74.9%) and non-absorbable (n = 83/173, 50.9%) meshes. The most frequent mesh locations were retromuscular (76/190, 40.0%) and intraperitoneal (56/190, 29.5%). Antibiotics were administered as prophylaxis during surgery to 109/122 (89.3%) patients, with cefazolin being the most frequently used drug.
Table 1
Description of the included population, comparison of patients without or with treatment failure, and determinants of treatment failure (univariate analysis)
 
All patients
Descriptive analysis
Univariate analysis
Failure
Success
p-value
OR (95%CI)
p-value
n
209
63
146
   
Demographics and comorbidities
 
Gender (male)
119/209 (56.9%)
38/63 (60.3%)
81/146 (55.5%)
0.517
1.220 (0.669–2.225)
0.517
 
Age (years)
62 (55–71)
61 (55-69.5)
63 (55–72)
0.432
0.992 (0.969–1.016)
0.528
 
BMI (kg/m²)
29.7 (26.4–33.2)
29.9 (27.3–32.9)
29.7 (26.1–33.3)
0.606
1. 012 (0.963–1.063)
0.634
 
ASA score
2 (2–3)
2 (2-2.3)
2 (2–3)
 
0.793 (0.490–1.281)
0.342
 
Modified Charlson’s comorbidity index
3 (2–5)
3 (1.5-4)
3 (2–5)
 
0.972 (0.857–1.103)
0.663
 
Active smoking
42/209 (20.1%)
14/63 (22.2%)
28/146 (19.2%)
0.614
1.204 (0.584–2.481)
0.615
 
Previous abdominal surgery
199/209 (95.2%)
59/63 (93.7%)
140/146 (95.9%)
0.486
0.632 (0.172–2.322)
0.490
  
> 1 previous abdominal surgeries
166/209 (79.4%)
56/63 (88.9%)
110/146 (75.3%)
0.026
2.618 (1.096–6.257)
0.030
Index surgery
 
Operative indication
      
  
Primary hernia
42/202 (20.8%)
14/62 (22.6%)
28/140 (20.0%)
0.677
1.167 (0.565–2.409)
0.677
  
Incisional hernia
154/202 (76.2%)
45/62 (72.6%)
109/140 (77.9%)
0.416
0.753 (0.379–1.495)
0.417
  
Acute complication
11/202 (5.4%)
4/62 (6.5%)
7/140 (5.0%)
0.740
1.310 (0.369–4.650)
0.676
  
Post-surgical parietal closure
6/202 (3.0%)
3/62 (4.8%)
3/140 (2.1%)
0.374
2.322 (0.455–11.841)
0.311
 
Mesh characteristics
  
Size (cm²)
400 (225-775.5)
500 (300–900)
360 (225-667.5)
0.106
1.001 (1.000-1.002)
0.058
  
Synthetic
131/175 (74.9%)
41/58 (70.7%)
90/117 (76.9%)
0.371
0.724 (0.356–1.472)
0.372
  
Biosynthetic
43/175 (24.6%)
17/58 (29.3%)
26/117 (22.2%)
0.305
1.451 (0.711–2.963)
0.307
  
Biological
1/175 (0.6%)
0/58 (0%)
1/117 (0.9%)
1.000
0.991 (0.975–1.008)
 
  
Absorbable
34/173 (19.7%)
15/57 (26.3%)
19/116 (16.4%)
0.122
1.823 (0.846–3.929)
0.125
  
Semi-absorbable
51/173 (29.5%)
13/57 (22.8%)
38/116 (32.8%)
0.177
0.606 (0.292–1.259)
0.179
  
Non-absorbable
88/173 (50.9%)
29/57 (50.9%)
59/116 (50.9%)
0.999
1.001 (0.531–1.887)
0.999
 
Mesh location
  
Subcutaneous
37/190 (19.5%)
11/60 (18.3%)
26/130 (20.0%)
0.787
0.898 (0.411–1.964)
0.787
  
Retromuscular
76/190 (40.0%)
23/60 (38.3%)
53/130 (40.8%)
0.750
0.903 (0.482–1.691)
0.750
  
Preperitoneal
24/190 (12.6%)
6/60 (10.0%)
18/130 (13.8%)
0.458
0.691 (0.260–1.841)
0.460
  
Intraperitoneal
56/190 (29.5%)
22/60 (36.7%)
34/130 (26.2%)
0.140
1.635 (0.849–3.146)
0.141
 
Altemeier class 1
165/190 (86.8%)
51/60 (85%)
114/130 (87.7%)
0.610
0.795 (0.330–1.919)
0.610
Infection presentation
 
Time from surgery to onset of symptoms (days)
15 (7–31)
15 (7.3–31)
17 (7–31)
0.662
0.999 (0.999-1.000)
0.110
 
Highest CRP level (mg/L)
124 (50–200)
130 (60–250)
114 (40.8-183.5)
0.238
1.002 (0.999–1.005)
0.179
 
Infection type
  
Inflammatory wound dehiscence
9/209 (4.3%)
0/63 (0%)
9/146 (6.2%)
0.060
-
 
  
Abscess
189/209 (90.4%)
61/63 (96.8%)
128/146 (87.7%)
0.042
4.289 (0.964–19.076)
0.056
   
Abdominal wall abscess
177/209 (84.7%)
56/63 (88.9%)
121/146 (82.9%)
0.268
1.653 (0.675–4.049)
0.272
   
Deep abscess
25/209 (12.0%)
8/63 (12.7%)
17/146 (11.6%)
0.829
1.104 (0.450–2.708)
0.829
  
Sinus tract
127/209 (60.8%)
42/63 (66.7%)
85/146 (58.2%)
0.251
1.435 (0.773–2.664)
0.252
   
Enterocutaneous sinus tract
20/209 (9.6%)
4/63 (6.3%)
16/146 (11.0%)
0.443
0.551 (0.177–1.719)
0.304
  
Early post-operative peritonitis
4/209 (1.9%)
1/63 (1.6%)
3/146 (2.1%)
1.000
0.769 (0.078–7.537)
0.821
Microbiology results
166/209 (79.4%)
51/63 (81.0%)
115/146 (78.8%)
0.720
1.146 (0.545–2.410)
0.720
 
Sterile
10/166 (6.0%)
4/51 (7.8%)
6/115 (5.2%)
0.498
1.546 (0.417–5.733)
0.515
 
Polymicrobial
89/166 (53.6%)
28/51 (54.9%)
61/115 (53.0%)
0.825
1.078 (0.556–2.089)
0.825
 
S.aureus
60/166 (36.1%)
17/51 (33.3%)
43/115 (37.4%)
0.616
0.837 (0.418–1.676)
0.616
 
CoNS
11/166 (6.6%)
4/51 (7.8%)
7/115 (6.1%)
0.738
1.313 (0.367–4.701)
0.676
 
Streptococcus spp.
21/166 (12.7%)
4/51 (7.8%)
17/115 (14.8%)
0.312
0.491 (0.156–1.539)
0.222
 
Enterococcus spp.
33/166 (19.9%)
7/51 (13.7%)
26/115 (22.6%)
0.186
0.545 (0.219–1.352)
0.190
 
Corynebacterium spp.
3/166 (1.8%)
2/51 (3.9%)
1/115 (0.9%)
0.224
4.653 (0.412–52.521)
0.214
 
Cutibacterium spp
5/166 (3.0%)
3/51 (5.9%)
2/115 (1.7%)
0.170
3.531 (0.572–21.811)
0.174
 
Enterobacteriaceae
60/166 (36.1%)
19/51 (37.3%)
41/115 (35.7%)
0.843
1.072 (0.541–2.124)
0.843
 
Pseudomonas spp.
10/166 (6.0%)
3/51 (5.9%)
7/115 (6.1%)
1.000
0.964 (0.239–3.889)
0.959
 
Anaerobes
40/166 (24.1%)
11/51 (21.6%)
29/115 (25.2%)
0.612
0.816 (0.371–1.795)
0.612
 
Actinomyces spp.
9/166 (5.4%)
2/51 (3.9%)
7/115 (6.1%)
0.723
0.630 (0.126–3.142)
0.573
 
Fungi
12/166 (7.2%)
4/51 (7.8%)
8/115 (7.0%)
0.533
1.138 (0.327–3.966)
0.839
Infection management
 
Local treatment only
46/209 (22.0%)
22/63 (34.9%)
24/146 (16.4%)
0.003
2.728 (1.384–5.374)
0.004
 
Radiological drainage
19/209 (9.1%)
6/63 (9.5%)
13/146 (8.9%)
1.000
1.077 (0.390–2.974)
0.886
 
Surgery
130/209 (62.2%)
29/63 (46%)
101/146 (69.2%)
0.002
0.380 (0.207–0.698)
0.002
  
Complete mesh removal
78/209 (37.3%)
9/63 (14.3%)
69/146 (47.3%)
< 10− 3
0.186 (0.86 − 0.404)
< 10− 3
  
Partial mesh removal
11/209 (5.3%)
3/63 (4.8%)
8/146 (5.5%)
1.000
0.863 (0.221–3.364)
0.831
  
Single-stage abdominal wall reconstruction
16/129 (12.4%)
3/29 (10.3%)
13/100 (13.0%)
1.000
0.772 (0.204–2.919)
0.703
 
Post-operative negative pressure therapy
38/209 (18.2%)
10/63 (15.9%)
28/146 (19.2%)
0.570
0.795 (0 0.360-1.755)
0.570
Antibiotic treatment
172/207 (83.1%)
47/62 (75.8%)
125/145 (86.2%)
0.067
0.501 (0.237–1.060)
0.071
 
Appropriate empiric antibiotic therapy
99/131 (75.6%)
25/33 (75.8%)
74/98 (75.5%)
0.977
1.014 (0.404–2.542)
0.977
 
Secondary adaptation
79/123 (64.2%)
15/29 (51.7%)
64/94 (68.1%)
0.108
0.502 (0.215–1.172)
0.111
 
Treatment duration (days)
13.5 (8–21)
10 (7–19)
14 (9–21)
0.239
0.998 (0.975–1.021)
0.835
Outcomes
 
Failure
63/209 (30.1%)
63/63 (100%)
NA
NA
NA
NA
 
Time to failure (days)
38 (16–183)
38 (16–183)
NA
NA
NA
NA
 
Hernia recurrence
67/209 (32.1%)
20/63 (31.7%)
47/146 (32.2%)
0.949
0.980 (0.520–1.847)
0.949
 
Subsequent surgery for infectious purpose
48/209 (23.0%)
48/63 (76.2%)
NA
NA
NA
NA
 
Follow-up time (weeks)
73 (26.4-191.1)
74.9 (32.7-211.8)
72 (24.5-189.8)
0.316
1.001 (0.999–1.004)
0.199
95%CI, 95% confidence interval; ASA, American Society of Anesthesiologists, BMI, Body mass index; CoNS, Coagulase negative staphylococci; CRP, C-reactive protein; NA, Not applicable; OR, Odd ratio
Forty patients (19.1%) were referred to our center after initial management elsewhere. Of note, baseline characteristics of this subset of patients were not statistically different from patients primarily managed in our center (data not shown).

Infection presentation

Median time between index surgery and symptoms was 15 (IQR, 7–31) days. Fever was present in 88 (42.1%) patients, only. A CT-scan was performed in 167 (76.9%) patients. Abdominal wall and deep abscesses were observed in 177 (84.7%) and 25 (12.0%) patients, respectively. Sinus tracts were identified in 127 (60.8%) patients. Less common presentations included enterocutaneous fistula (n = 20, 9.6%) and isolated inflammatory wound dehiscence (n = 9, 4.3%).

Microbiology findings

Reliable samples for microbiological examination were obtained from 166 (79.4%) patients. Ten (6%) samples were culture-sterile. Cultures revealed polymicrobial infections in 86 (53.6%) cases. Staphylococcus aureus (n = 60, 36.1%) and Enterobacteriaceae (n = 60, 36.1%) were the most frequently isolated organisms. Multidrug-resistant (MDR) bacteria were uncommon, with 3/60 (5%) methicillin-resistant S. aureus, and 9/60 (15%) Enterobacteriaceae resistant to 3rd generation cephalosporins. Surgeries involving progressive preoperative pneumoperitoneum were associated with higher occurrence of MDR bacterial infection (3/13 versus 9/196, OR, 6.964 [1.509–32.142]; p = 0.013).
Microbiology data highlights significant differences toward clinical presentations (Fig. 1).
Fig. 1
Microbial distribution according to infection site
Bild vergrößern

Infection management

Surgical intervention was undertaken in 130 (62.2%) cases, with total or partial mesh removal in 78 (37.3%) and 11 (5.3%) cases, respectively. Single stage abdominal wall reconstruction with a new mesh was performed in 16/129 (12.4%) patients, predominantly using absorbable meshes. Post-operative negative pressure therapy was utilized in 38 (18.2%) patients, while radiological drainage was performed in 19 (9.1%) patients. Antibiotic treatment was prescribed to 172/207 (83.1%) patients for a median duration of 13.5 (IQR, 8–21) days, with therapy deemed appropriate in 99/131 (75.6%) cases.

Outcomes

After a median follow-up of 73 (IQR, 26.4-191.1) weeks, treatment failure was observed in 63 (30.1%) patients, with a median time to failure of 38 (IQR, 16–183) days after the end of initial infection care. Most patients experiencing failure (n = 48/63, 76.2%) underwent subsequent surgery for infectious purposes. Baseline characteristics of patients with treatment failure and success were similar (Table 1). In univariate analysis, the only comorbidity associated with failure was multiple previous abdominal surgeries (OR, 2.618; 95%CI, 1.096–6.257; p = 0.030). Index surgery parameters, clinical presentation and implicated pathogens were not significantly related with outcomes. Surgical treatment (OR, 0.380; 95%CI, 0.207–0.698; p = 0.002), and especially total mesh removal (OR, 0.186; 95%CI, 0.860 − 0.404; p < 10− 3), were protective for treatment failure (Fig. 2). Of note, the evaluation of outcome predictors of the subset of patients primarily managed in our center did not allow to highlight specific risk factors compared to the whole population (data not shown).
Fig. 2
Kaplan-Meier survival curve for probability of survival without treatment failure in all patients with mesh infection after abdominal wall reconstruction, according to the main determinants of outcome
Bild vergrößern
In multivariate analysis, multiple previous abdominal surgeries (OR, 3.305; 95%CI, 1.297–8.425; p = 0.012), complete mesh removal (OR, 0.145; 95%CI, 0.063–0.335; p < 10− 3) and antibiotic therapy (OR, 0.328; 95%CI, 0.136–0.787; p = 0.013) were independent predictors of treatment outcome. Of note, outcome of patients referred to our center after a previous failure of infection management was similar.

Conservative treatment group

The 131 patients who underwent conservative strategy are presented in Table 2. After a median follow-up of 76 (IQR, 25.9-201.1) weeks, treatment failure was observed in 54 (41.2%) patients, with a median time to failure of 36.5 (IQR, 16–183) days after the end of initial infection care. In this subgroup, factors associated with treatment failure were multiple previous abdominal surgeries (OR, 3.846; 95%CI, 1.452–10.182; p = 0.006), intraperitoneal mesh placement (OR, 2.723; 95%CI, 1.216–6.096; p = 0.014), symptoms duration superior to one month (OR, 3.051; 95%CI, 1.175–7.919; p = 0.021), and presence of a fistula (OR, 2.162; 95%CI, 0.965–6.556; p = 0.036). Retromuscular mesh placement (OR, 0.428; 95%CI, 0.207–0.886; p = 0.022) and antibiotic treatment (OR, 0.381; 95%CI, 0.137–1.060; p = 0.064) emerged as protective factors against treatment failure (Fig. 3).
Table 2
Description of the conservative treatment subgroup, comparison of patients without or with treatment failure, and determinants of treatment failure (univariate analysis)
 
Conservative treatment
Descriptive analysis
Univariate analysis
Failure
Success
p-value
OR (95% CI)
p-value
n
131
54
77
   
Demographics and comorbidities
 
Gender (male)
74/131 (56.5%)
32/54 (59.3%)
42/77 (54.5%)
0.592
1.212 (0.599–2.451)
0.592
 
Age (years)
62 (55–69)
61.5 (55.3–69.8)
62 (54.5–69)
0.924
1.006 (0.976–1.036)
0.681
 
BMI (kg/m²)
29.7 (26.9–33.2)
29.1 (26.8–32.6)
30.1 (26-33.6)
0.680
0.993 (0.937–1.052)
0.825
 
ASA score
2 (2–3)
2 (2–3)
2 (2–3)
0.825
0.965 (0.547–1.704)
0.904
 
Modified Charlson’s Comorbidity index
3 (2-4.5)
3 (2–4)
3 (2–5)
0.945
1.003 (0.868–1.157)
0.966
 
Active smoking
25/131 (19.1%)
11/54 (20.4%)
14/77 (18.2%)
0.754
1.151 (0.477–2.774)
0.753
 
Previous abdominal surgery
126/131 (96.2%)
51/54 (94.4%)
75/77 (97.4%)
0.403
0.453 (0.073–2.809)
0.395
 
> 1 previous abdominal surgeries
100/131 (76.3%)
48/54 (88.9%)
52/77 (67.5%)
0.005
3.846 (1.452–10.182)
0.006
Index surgery
 
Operative indication
  
Primary hernia
23/129 (17.8%)
11/53 (20.8%)
12/76 (15.8%)
0.469
1.396 (0.564–3.456)
0.469
  
Incisional hernia
102/129 (79.1%)
39/53 (73.6%)
63/76 (82.9%)
0.201
0.574 (0.244–1.350)
0.203
  
Acute complication
6/129 (4.7%)
3/53 (5.7%)
3/76 (3.9%)
0.689
1.459 (0.283–7.528)
0.651
  
Post-surgical parietal closure
4/129 (3.1%)
3/53 (5.7%)
1/76 (1.3%)
0.305
4.499 (0.455–44.494)
0.198
 
Mesh characteristics
  
Size (cm²)
500 (288–900)
500 (300–900)
450 (0-900)
0.301
1.000 (0.999–1.001)
0.178
  
Synthetic
82/115 (71.3%)
32/49 (65.3%)
50/66 (75.8%)
0.220
0.602 (0.266–1.359)
0.222
  
Biosynthetic
32/115 (27.8%)
17/49 (34.7%)
15/66 (22.7%)
0.157
1.806 (0.793–4.113)
0.159
  
Biological
1/115 (0.9%)
0/49 (0%)
1/66 (1.5%)
1.000
  
  
Absorbable
29/116 (25%)
14/49 (28.6%)
15/67 (22.4%)
0.447
1.386 (0.595–3.228)
0.448
  
Semi-absorbable
35/116 (30.2%)
11/49 (22.4%)
24/67 (35.8%)
0.121
0.518 (0.224–1.197)
0.123
  
Non-absorbable
52/116 (44.8%)
24/49 (49.0%)
28/67 (41.8%)
0.442
1.337 (0.637–2.805)
0.442
 
Mesh location
  
Subcutaneous
25/127 (19.7%)
11/52 (21.2%)
14/75 (18.7%)
0.729
1.168 (0.483–2.827)
0.729
  
Retromuscular
62/127 (48.8%)
19/52 (36.5%)
43/75 (57.3%)
0.021
0.428 (0.207–0.886)
0.022
  
Preperitoneal
8/127 (6.3%)
4/52 (7.7%)
4/75 (5.3%)
0.715
1.479 (0.352–6.202)
0.592
  
Intraperitoneal
34/127 (26.8%)
20/52 (38.5%)
14/75 (18.7%)
0.013
2.723 (1.216–6.096)
0.014
 
Altemeier class 1
110/128 (85.9%)
44/52 (84.6%)
66/76 (86.8%)
0.722
0.833 (0.305–2.276)
0.722
Infection presentation
 
Time from surgery to onset of symptoms (days)
14 (8–26)
13 (7–50)
14 (8-23.3)
0.801
1.000 (0.999-1.000)
0.533
 
Highest CRP level (mg/L)
130 (60–205)
142 (60–250)
124.5 (0-180.8)
0.234
1.002 (0.998–1.005)
0.213
 
Infection type
  
Inflammatory wound dehiscence
9/131 (6.9%)
0/54 (0%)
9/77 (11.7%)
0.009
NC
NC
  
Abscess
120/131 (91.6%)
53/54 (98.1%)
67/77 (87.0%)
0.026
7.910 (0.981–63.761)
0.052
   
Abdominal wall abscess
114/131 (87.0%)
49/54 (90.7%)
65/77 (84.4%)
0.289
1.809 (0.597–5.474)
0.293
   
Deep abscess
13/131 (9.9%)
7/54 (13.0%)
6/77 (7.8%)
0.330
1.762 (0.557–5.571)
0.334
  
Sinus tract
73/131 (55.7%)
36/54 (66.7%)
37/77 (48.1%)
0.035
2.162 (1.051–4.446)
0.036
   
Enterocutaneous sinus tract
6/131 (4.6%)
4/54 (7.4%)
2/77 (2.6%)
0.229
2.999 (0.529–17.001)
0.214
  
Early post-operative peritonitis
0/131 (0%)
0/54 (0%)
0/77 (0%)
NC
NC
NC
Microbiology results
94/131 (71.8%)
43/54 (79.6%)
51/77 (66.2%)
0.094
1.992 (0.883–4.495)
0.096
 
Sterile
6/94 (6.4%)
3/43 (7.0%)
3/51 (5.9%)
1.000
1.199 (0.229–6.275)
0.828
 
Polymicrobial
47/94 (50.0%)
24/43 (55.8%)
23/51 (45.1%)
0.301
1.537 (0.679–3.478)
0.301
 
S.aureus
36/94 (38.3%)
14/43 (32.6%)
22/51 (43.1%)
0.293
0.636 (0.273–1.481)
0.294
 
CoNS
6/94 (6.4%)
3/43 (7.0%)
3/51 (5.9%)
1.000
1.199 (0.229–6.275)
0.828
 
Streptococcus spp.
8/94 (8.5%)
4/43 (9.3%)
4/51 (7.8%)
1.000
1.205 (0.282–5.134)
0.800
 
Enterococcus spp.
16/94 (17.0%)
6/43 (14.0%)
10/51 (19.6%)
0.467
0.664 (0.220–2.008)
0.469
 
Corynebacterium spp.
3/94 (3.2%)
2/43 (4.7%)
1/51 (2.0%)
0.591
2.439 (0.213–27.863)
0.473
 
Cutibacterium spp.
2/94 (2.1%)
2/43 (4.7%)
0/51 (0%)
0.207
NC
NC
 
Enterobacteriaceae
29/94 (30.9%)
14/43 (32.6%)
15/51 (29.4%)
0.742
1.158 (0.481–2.785)
0.742
 
Pseudomonas spp.
5/94 (5.3%)
2/43 (4.7%)
3/51 (5.9%)
1.000
0.780 (0.124-4.900)
0.791
 
Anaerobes
22/94 (23.4%)
11/43 (25.6%)
11/51 (21.6%)
0.647
1.249 (0.480–3.252)
0.647
 
Actinomyces spp.
4/94 (4.3%)
2/43 (4.7%)
2/51 (3.9%)
1.000
1.195 (0.161–8.860)
0.861
 
Fungi
3/94 (3.2%)
3/43 (7.0%)
0/51 (0%)
0.092
NC
NC
Infection management
 
Local treatment only
45/131 (34.4%)
22/54 (40.7%)
23/77 (29.9%)
0.197
1.614 (0.777–3.349)
0.198
 
Radiological drainage
18/131 (13.7%)
6/54 (11.1%)
12/77 (15.6%)
0.608
0.677 (0.237–1.932)
0.466
 
Surgery
41/131 (31.3%)
17/54 (31.5%)
24/77 (31.2%)
0.970
1.014 (0.479–2.147)
0.969
  
Partial mesh removal
11/131 (8.4%)
3/54 (5.6%)
8/77 (10.4%)
0.524
0.507 (0.128–2.007)
0.333
  
Single-stage abdominal wall reconstruction
0/51 (0%)
0/20 (0%)
0/31 (0%)
NC
NC
NC
 
Negative pressure therapy alone
4/131 (3.1%)
1/54 (1.9%)
3/77 (3.9%)
0.643
0.465 (0.047–4.598)
0.512
 
Post-operative negative pressure therapy
29/131 (22.1%)
8/54 (14.8%)
21/77 (27.3%)
0.134
0.463 (0.188–1.143)
0.095
Antibiotic treatment
112/130 (86.2%)
42/53 (79.2%)
70/77 (90.9%)
0.058
0.381 (0.137–1.060)
0.064
 
Adapted empiric antibiotic therapy
58/75 (77.3%)
22/29 (75.9%)
36/46 (78.3%)
0.809
0.873 (0.290–2.627)
0.809
 
Secondary adaptation
41/68 (60.3%)
13/25 (52.0%)
28/43 (65.1%)
0.286
0.580 (0.212–1.584)
0.288
 
Treatment duration (days)
14 (9–21)
11 (7–19)
14 (0–21)
0.086
0.996 (0.972–1.021)
0.782
Outcomes
 
Failure
54/131 (41.2%)
54/54 (100%)
NA
NA
NA
NA
 
Time to failure (days)
36.5 (16–183)
36.5 (16–183)
NA
NA
NA
NA
 
Hernia recurrence
32/131 (24.4%)
16/54 (29.6%)
16/77 (20.8%)
0.246
1.605 (0.719–3.582)
0.247
 
Subsequent surgery for infectious purpose
42/131 (32.1%)
42/54 (77.8%)
NA
NA
NA
NA
 
Follow-up time (weeks)
76 (25.9-201.1)
73.2 (32.3-180.3)
77.9 (26-203.3)
0.861
1.000 (0.997–1.002)
0.846
95%CI, 95% confidence interval; ASA, American Society of Anesthesiologists, BMI, Body mass index; CoNS, Coagulase negative staphylococci; CRP, C-reactive protein; NA, Not applicable; NC, Not calculable; OR, Odd ratio
Fig. 3
Kaplan-Meier survival curve for probability of survival without treatment failure after conservative management of patients with mesh infection after abdominal wall reconstruction, according to the main determinants of outcome
Bild vergrößern
In multivariate analysis, multiple previous abdominal surgeries (OR, 4.335; 95%CI, 1.534–12.252; p = 0.006), symptoms duration superior to one month (OR, 3.378; 95%CI, 1.089–10.476; p = 0.035), and retromuscular mesh placement (OR, 0.444; 95%CI, 0.199–0.992; p = 0.048) remained independent predictors for failure.

Discussion

Our study represents one of the largest series examining characteristics, management strategies and outcome determinants of abdominal wall mesh infection [6, 8, 14]. However, some limitations must be acknowledged. First, the retrospective monocentric design of our study introduces inherent biases. Our tertiary care center tends to handle more complex cases with greater comorbidity and surgical complexity, potentially influencing treatment outcomes. Nevertheless, the diversity of practices across the four different visceral surgery wards within our center provides a comprehensive perspective. Notably, results from the subgroup analysis of patients not referred to our center (HCL group) were consistent with those of the total population, mitigating concerns regarding referral bias. A key limitation stems from the retrospective nature of patient recruitment, relying on keyword searches within medical records. This method may have overlooked minor wound events deemed insignificant by surgeons, resulting in underreporting of less severe infections such as inflammatory wound dehiscence. Consequently, our conclusions may not be generalized to cases presenting solely as wound dehiscence. Also, because of the retrospective design and the clinical definition of infection, it is difficult to state whether patients experiencing a complex healing course of the surgical wounds and who did not undergo subsequent surgical procedures had actually an infection involving the mesh. This doubt is in line with the observation that 24/146 (16.4%) patients were cured without local treatment only (i.e., wound care), arguing that they might have experienced a superficial surgical site infection or a wound hazard, but no deep infection. However, we decided to keep them in our analysis because they were considered as suspect of mesh infection by the treating team. Future works using a prospective design and standardized approach of wound management after abdominal wall repair could address this question. Nonetheless, our study offers valuable insights into the management and predictive factors for treatment success in more challenging presentations, such as abscesses and fistulas.
Microbiological analysis provided precise data, mostly consistent with the literature although the rate of S. aureus infections (36.1%) appeared lower than usually described (46–66%) [8, 1416], but higher than in a recent French cohort from another tertiary care center (23%) [17]. Our findings regarding microbial distribution according to infection depth revealed a gradient in bacterial types, reflecting distinct pathophysiological mechanisms between deep infections where gut commensal bacteria are prevailing, and superficial infections where skin commensal bacteria are predominant. Regarding empiric antibiotic treatment, combinations of amoxicillin plus clavulanate, or cefotaxime plus metronidazole, represent good options as they offer coverage regarding most strains of S. aureus, Enterobacteriaceae, and streptococci. Empiric use of broad-spectrum antimicrobials is not warranted in our setting. While differences in bacterial distribution were observed, it seems appropriate to use the same antibiotics for these different infection locations and types. Finally, pre-surgical pneumoperitoneum was associated with higher occurrence of MDR bacterial infection. As this technic is usually proposed for the most complicated abdominal wall repairs, pre-surgical invasive procedure and prolonged hospital stay in more comorbid patients might facilitate surgical site colonization and infection by nosocomial flora.
Management of hernia mesh infection is not codified and remains challenging, as evidenced by the 30.1% treatment failure rate in our study. This rate is congruent with 32.5% (39/120) patients presenting an infection after treatment in the cohort of Zou et al. [8]. Our study confirms the crucial impact of complete mesh removal for infection resolution, while partial mesh removal showed no significant impact on outcomes. Antibiotic therapy appears to be the second cornerstone of hernia mesh infection management.
In cases where complete surgical removal poses significant risks or challenges, conservative treatment may be considered. However, success rate appears to be lower, particularly in patients with chronic infection (symptom duration > 1 month), non-retromuscular mesh placement, and a history of multiple surgeries. These factors exerted a cumulative effect on treatment success, underscoring the importance of careful patient selection and stratification before adopting a conservative strategy.
While previous studies have highlighted certain predictors of treatment outcomes in conservative strategies, such as the early onset of infection [18], this finding regarding symptom duration as a prognostic factor is original. The association between symptom duration and treatment failure aligns with biofilm-related complications observed in orthopedic prosthetic material infections and the existing proof regarding biofilm development on hernia mesh [19, 20].
In conclusion, hernia mesh infection management remains challenging with high risk of treatment failure. The strategy of combining complete mesh removal with antibiotic therapy is the most promising approach for achieving successful outcomes. When conservative treatment is being considered, the physician must evaluate symptom duration and mesh placement, as the association of symptom duration > 1 month with non retromuscular located mesh in a multi operated abdomen is associated with > 75% failure risk.

Declarations

Ethical approval

This study received the approval of the Scientific and Ethical Committee of Hospices Civils de Lyon (reference n°23-457). All patients received written information about the study. No written informed consent was required for inclusion.

Competing interest

The authors have no competing interests to declare.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Titel
Management and outcome of mesh infection after abdominal wall reconstruction in a tertiary care center
Verfasst von
Victor Franchi
Claire Triffault-Fillit
Sophie Jarraud
Jean-Yves Mabrut
Clément Javaux
Olivier Monneuse
Anne Conrad
Tristan Ferry
Maud Robert
Florence Ader
Guillaume Passot
Florent Valour
Publikationsdatum
01.12.2025
Verlag
Springer Paris
Erschienen in
Hernia / Ausgabe 1/2025
Print ISSN: 1265-4906
Elektronische ISSN: 1248-9204
DOI
https://doi.org/10.1007/s10029-025-03265-3
1.
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