Sie können Operatoren mit Ihrer Suchanfrage kombinieren, um diese noch präziser einzugrenzen. Klicken Sie auf den Suchoperator, um eine Erklärung seiner Funktionsweise anzuzeigen.
Findet Dokumente, in denen beide Begriffe in beliebiger Reihenfolge innerhalb von maximal n Worten zueinander stehen. Empfehlung: Wählen Sie zwischen 15 und 30 als maximale Wortanzahl (z.B. NEAR(hybrid, antrieb, 20)).
Findet Dokumente, in denen der Begriff in Wortvarianten vorkommt, wobei diese VOR, HINTER oder VOR und HINTER dem Suchbegriff anschließen können (z.B., leichtbau*, *leichtbau, *leichtbau*).
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.
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 [8‐10], 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].
Anzeige
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.
Anzeige
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).
Anzeige
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
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
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.
Anzeige
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
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, 14‐16], 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/.
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Unsere Produktempfehlungen
Die Chirurgie + umfangreiches Online-Angebot
Print-Titel
Das Abo mit mehr Tiefe
Mit der Zeitschrift Die Chirurgie erhalten Sie zusätzlich Online-Zugriff auf weitere 43 chirurgische Fachzeitschriften, CME-Fortbildungen, Webinare, Vorbereitungskursen zur Facharztprüfung und die digitale Enzyklopädie e.Medpedia.
Mit e.Med Chirurgie erhalten Sie Zugang zu CME-Fortbildungen des Fachgebietes Chirurgie, den Premium-Inhalten der chirurgischen Fachzeitschriften, inklusive einer gedruckten chirurgischen Zeitschrift Ihrer Wahl.
Ma Q, Jing W, Liu X et al (2023) The global, regional, and national burden and its trends of inguinal, femoral, and abdominal hernia from 1990 to 2019: findings from the 2019 global burden of Disease Study - a cross-sectional study. Int J Surg Lond Engl 109:333–342. https://doi.org/10.1097/JS9.0000000000000217CrossRef
Mavros MN, Athanasiou S, Alexiou VG et al (2011) Risk factors for mesh-related infections after hernia repair surgery: a meta-analysis of cohort studies. World J Surg 35:2389–2398. https://doi.org/10.1007/s00268-011-1266-5CrossRefPubMed
Dipp Ramos R, O’Brien WJ, Gupta K, Itani KMF (2021) Incidence and risk factors for long-term Mesh Explantation due to infection in more than 100,000 hernia operation patients. J Am Coll Surg 232:872–880e2. https://doi.org/10.1016/j.jamcollsurg.2020.12.064CrossRefPubMed
Zou Z, Cao J, Zhu Y et al (2023) Treatment of mesh infection after inguinal hernia repair: 3-year experience with 120 patients. Hernia J Hernias Abdom Wall Surg 27:927–933. https://doi.org/10.1007/s10029-022-02702-xCrossRef
9.
Shubinets V, Carney MJ, Colen DL et al (2018) Management of infected Mesh after Abdominal Hernia Repair: systematic review and single-Institution experience. Ann Plast Surg 80:145–153. https://doi.org/10.1097/SAP.0000000000001189CrossRefPubMed
10.
Stremitzer S, Bachleitner-Hofmann T, Gradl B et al (2010) Mesh graft infection following abdominal hernia repair: risk factor evaluation and strategies of mesh graft preservation. A retrospective analysis of 476 operations. World J Surg 34:1702–1709. https://doi.org/10.1007/s00268-010-0543-zCrossRefPubMed
11.
Nobaek S, Rogmark P, Petersson U (2017) Negative pressure wound therapy for treatment of mesh infection after abdominal surgery: long-term results and patient-reported outcome. Scand J Surg SJS off Organ Finn Surg Soc Scand Surg Soc 106:285–293. https://doi.org/10.1177/1457496917690966CrossRef
12.
Kao AM, Arnold MR, Augenstein VA, Heniford BT (2018) Prevention and Treatment strategies for mesh infection in Abdominal Wall Reconstruction. Plast Reconstr Surg 142:149S–155S. https://doi.org/10.1097/PRS.0000000000004871CrossRefPubMed
13.
Charlson M, Szatrowski TP, Peterson J, Gold J (1994) Validation of a combined comorbidity index. J Clin Epidemiol 47:1245–1251CrossRefPubMed
14.
Yang H, Xiong Y, Chen J, Shen Y (2020) Study of mesh infection management following inguinal hernioplasty with an analysis of risk factors: a 10-year experience. Hernia J Hernias Abdom Wall Surg 24:301–305. https://doi.org/10.1007/s10029-019-01986-wCrossRef
Dipp Ramos R, O’Brien WJ, Gupta K, Itani KMF (2021) Re-infection after Explantation of infected hernia mesh: are the same micro-organisms involved? Surg Infect 22:1077–1080. https://doi.org/10.1089/sur.2021.142CrossRef
17.
Siebert M, Lhomme C, Carbonnelle E et al (2023) Microbiological epidemiology and antibiotic susceptibility of infected meshes after prosthetic abdominal wall repair. J Visc Surg 160:85–89. https://doi.org/10.1016/j.jviscsurg.2023.02.007CrossRefPubMed
18.
O’Brien WJ, Dipp Ramos R, Gupta K, Itani KMF (2021) Risk of Hernia Mesh Explantation following early Versus Late Onset skin and soft tissue infection. Ann Surg Open Perspect Surg Hist Educ Clin Approaches 2:e098. https://doi.org/10.1097/AS9.0000000000000098CrossRef
19.
Aydinuraz K, Ağalar C, Ağalar F et al (2009) In vitro S. epidermidis and S. Aureus adherence to composite and lightweight polypropylene grafts. J Surg Res 157:e79–86. https://doi.org/10.1016/j.jss.2009.04.008CrossRefPubMed
20.
Patiniott P, Jacombs A, Kaul L et al (2022) Are late hernia mesh complications linked to Staphylococci biofilms? Hernia J Hernias Abdom Wall Surg 26:1293–1299. https://doi.org/10.1007/s10029-022-02583-0CrossRef
Ist eine Speichelgangsblockade und die damit verbundene Sialadenitis nicht durch Steine bedingt, wird oftmals versucht, die Symptomatik zu lindern, indem man den Gang mechanisch weitet. Ein aktuelles Review kann den Eingriff als chancenreiches Verfahren bestätigen und deckt gleichzeitig Schwächen auf.
Mehr als eine Million Menschen in Deutschland leiden unter Hallux valgus – eine Fehlstellung des Großzehs, die je nach Schweregrad und Symptomen behandelt wird. Welche neuen Empfehlungen die aktualisierte S2e-Leitlinie bietet, erklärt der Orthopäde Prof. Sebastian Baumbach im MedTalk Leitlinie KOMPAKT der Zeitschrift Orthopädie und Unfallchirurgie.
Ein chirurgischer Eingriff kann für Patienten mit primärem Hyperparathyreoidismus gegenüber dem konservativen Management metabolisch von Vorteil sein. Denn wie eine Studie zeigt, senkt die Operation das Diabetesrisiko.