Literature DB >> 21800218

Initial microbial spectrum in severe secondary peritonitis and relevance for treatment.

O van Ruler1, J J S Kiewiet, R J van Ketel, M A Boermeester.   

Abstract

This study aims to determine whether abdominal microbial profiles in early severe secondary peritonitis are associated with ongoing infection or death. The study is performed within a randomized study comparing two surgical treatment strategies in patients with severe secondary peritonitis (n = 229). The microbial profiles of cultures retrieved from initial emergency laparotomy were tested with logistic regression analysis for association with 'ongoing infection needing relaparotomy' and in-hospital death. No microbial profile or the presence of yeast or Pseudomonas spp. was related to the risk of ongoing infection needing relaparotomy. Resistance to empiric therapy for gram positive cocci and coliforms was moderately associated with ongoing abdominal infection (OR 3.43 95%CI 0.95-12.38 and OR 7.61, 95%CI 0.75-76.94). Presence of only gram positive cocci, predominantly Enterococcus spp, was borderline independently associated with in-hospital death (OR 3.69, 95%CI 0.99-13.80). In secondary peritonitis microbial profiles do not predict ongoing abdominal infection after initial emergency laparotomy. However, the moderate association of ongoing infection with resistance to the empiric therapy compels to more attention for resistance when selecting empiric antibiotic coverage.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21800218      PMCID: PMC3319890          DOI: 10.1007/s10096-011-1357-0

Source DB:  PubMed          Journal:  Eur J Clin Microbiol Infect Dis        ISSN: 0934-9723            Impact factor:   3.267


Introduction

Abdominal sepsis is an often encountered, severe condition, treated by a multidisciplinary team of surgeons, intensive care specialists, radiologists and microbiologists. Surgical source control by elimination of the infectious focus is the main constituent of treatment. However, organ failure support and additional microbial therapy are indispensable features of treatment [1]. Especially very early antibiotic intervention is propagated as effective in reducing mortality in sepsis [2-4]. Previous studies have focused on identification of clinical and laboratory variables of value for identification of patients at high risk for ongoing infection [5-17]. In particular post-operative physiological parameters are helpful in identifying abdominal sepsis patients in need of a relaparotomy rather than peritonitis and operative characteristics [14]. However, the relation between the microbial profile of peritoneal infection and patient outcome has not been studied extensively in a prospective setting. If there is a relation, this could have consequences for the choice of the empiric broad spectrum antibiotic coverage aimed at possible pathogens in the intestinal flora [18, 19]. The clinical management consequences of abdominal fluid cultures obtained at initial emergency laparotomy is often questioned. Culture results including susceptibility patterns are first available after at least 48–72 hours, and the retrieved species may not vary that much. Furthermore, it is stated that the antibiotic treatment window really affecting patient outcome lies in the first few hours, stressing the importance of adequate empiric regimes [20]. Moreover, some secondary peritonitis patients require a relaparotomy because of clinical suspicion of ongoing infection. This decision is usually made before culture results become available. However, if index cultures are predictive of a complicated course with (multiple) relaparotomies or death, early identification of eventual microbial profile may influence treatment decision and thereby affect outcome. The aim of this study is to determine whether abdominal microbial profiles in early secondary peritonitis are predictive of the course of disease.

Methods

Design and eligibility

All patients from the RELAP trial (ISRCTN51729393) were enrolled in this study (n = 229). The RELAP trial was a randomized controlled clinical trial comparing two main surgical strategies for severe secondary peritonitis following the initial emergency laparotomy: on-demand relaparotomy (n = 114) versus planned relaparotomy (n = 115) [12]. Patients were eligible with an APACHE-II score >10 and diagnosed with abdominal sepsis, verified during surgery, caused by perforation or infection of a visceral organ or ischemia/necrosis of part of the gastrointestinal tract due to strangulation or postoperative peritoneal infection. Details on design and patient inclusion have been described elsewhere [12]. ‘On-demand’ relaparotomy was performed only in case of no clinical improvement or in case of clinical deterioration, monitored by physiological, laboratory and radiology parameters. Planned relaparotomy was performed every 36 to 48 hours until the abdomen was macroscopically clean at the beginning of the final relaparotomy. All eligible patients were enrolled at two academic and seven major teaching hospitals. The study was approved by the Medical Ethics Committees of all participating hospitals.

Outcome

The aim of the present study was to evaluate whether specific microbial profiles are associated with ongoing infection needing relaparotomy and/or with in-hospital death. ‘Ongoing infection needing relaparotomy’ points to residual abdominal infection or a new infectious focus in the abdominal cavity. If patients did not receive a relaparotomy but died within 14 days following initial emergency laparotomy, patients were also determined as having ‘ongoing infection needing relaparotomy’. ‘No ongoing infection, not needing relaparotomy’ was defined as patients who either underwent a relaparotomy for secondary peritonitis yielding no residual infection or new pathology, or patients who did not receive a relaparotomy and survived the acute phase of the disease (at least 14 days). In-hospital death was defined as patients who died during hospitalization, when the initial operation for abdominal sepsis due to secondary peritonitis was performed.

Data collection

Data were prospectively collected. Data on cultures of abdominal fluid obtained at index laparotomy were evaluated. Abdominal fluid cultures were not obtained systematically at index laparotomy. Other assessed data included: patient characteristics, disease and operation related information, and postoperative variables including the development of major peritonitis-related complications for 12 months following index operation.

Microbial profiles

Patients were divided over five different microbial profiles based on the spectrum reported in the culture results: (1) no microbial growth, (2) coliform species (gram negative microorganisms) in absence of gram positive species, (3) gram positive cocci in absence of gram negative species, (4) coliforms and positive cocci, and (5) only anaerobes. Furthermore, patients with yeast (mono- or polymicrobial) or with pseudomonas (mono- or polymicrobial) infections were also identified. The latter two categories were not mutually exclusive from the five main groups. These main groups are considered relevant as literature describes possible differences in outcome (in-hospital death) for abdominal sepsis patients [18, 21–30].

Antibiotic regimen at the initial laparotomy

All patients received empirical antibiotic treatment at the emergency laparotomy, covering gram positive cocci (amoxicillin), gram negative rods (gentamicin) and anaerobes (metronidazole). This broad spectrum abdominal flora coverage is considered to be adequate in light of resistance patterns in more than 95% of cases in a study of microbial resistance patterns of our country [30]. Noteworthy, resistance of gram negative microorganisms to amoxicillin is only seen occasionally in our country, certainly in community-acquired peritonits [30]. Gentamicin dosage (4 mg/kg) was systematically monitored by obtaining “peak” and “trough” levels when administrated more than 3 days. Dosing was adjusted according to levels measured and in case of (preexistent) renal dysfunction. Antibiotic susceptibility tests were performed on all obtained isolates, in order to identify the efficiency of the empiric antibiotic regime.

Statistical analysis

Demographic data and baseline characteristics were compared for patients with ‘ongoing infection needing relaparotomy’ and ‘no ongoing infection, relaparotomy not needed’ as well as for patients that died in-hospital and those who survived. Culture results were evaluated for the outcomes of ‘ongoing infection needing relaparotomy’ and of in-hospital death. The culture results were also compared between nosocomial (post-operative intra-abdominal infection) and community-acquired peritonitis (intra-abdominal infection at presentation on the Emergency Department). Continuous variables were expressed as medians with associated 25–75% interquartile ranges and compared using Mann-Whitney U tests. Categorical numbers were reported as absolute numbers (frequencies with percentages) and compared using a χ2 test. In hypothesis testing, p-values of <0.05 were considered significant. Whether or not a certain microbial profile was predictive for either ongoing infection needing relaparotomy or in-hospital death was evaluated by univariate analyses. A P-value <0.10 was considered to depict association with the evaluated outcome variable. In case of a univariate association, a multivariate regression analysis was performed to evaluate if there was an independent association. All statistic analyses were performed using SPSS for Windows version 18 (SPSS® Inc, Chicago, Illinois).

Results

Patient inclusion and demographic data

In total 229 of the 510 eligible secondary peritonitis patients were included and randomized in the RELAP trial, to either an on-demand strategy (n = 114) or a ‘planned strategy' (n = 115; Fig. 1). Tables 1 and 2 present the demographic and baseline characteristics for both all included patients (n = 229) and patients with culture results available (n = 158). Patients with ‘ongoing infection needing a relaparotomy’ (overall n = 78, cultures available n = 49) and patients with ‘no ongoing infection, not needing relaparotomy’ were compared in Table 1. Patients that died in-hospital (overall n = 50, cultures available n = 31) were compared to those who survived the initial hospital admission (overall n = 179, cultures available n = 127) in Table 2.
Fig. 1

Flow chart of patient inclusion and overall culture results per microbial profile

Table 1

Demographic and clinical characteristics compared for patients with ‘ongoing infection needing relaparotomy’ and patients with ‘no ongoing infection, not needing relaparotomy’

VariablesOngoing infection needing relaparotomyNo ongoing infection, not needing relaparotomy P values for available cultures
All (N = 78)Cultures available (n = 49)All (N = 151)Cultures available (n = 109)
Age (years), median (IQR)67 (56–73)65 (55–73)70 (57–76)69 (57–76)0.182
Male43 (55%)28 (43%)66 (44%)49 (45%)0.156
Major comorbidity present, no. (%)48 (62%)29 (59%)88 (58%)63 (58%)0.870
 Malignancy22 (28%)14 (29%)35 (23%)25 (23%)0.447
 Cardiovascular disease19 (24%)15 (31%)35 (23%)27 (25%)0.442
 Respiratory disease (COPD)9 (12%)3 (6%)22 (15%)14 (13%)0.207
 Renal disease8 (10%)7 (14%)9 (6%)4 (4%)0.044
 Diabetes6 (8%)2 (4%)14 (9%)12 (11%)0.156
Severity of disease
 APACHE II score at study entry, median (IQR)15 (13–18)15 (12–19)15 (13–18)15 (13–18)0.812
Etiology of peritonitis, no. (%)0.048
 Perforation40 (51%)27 (55%)93 (62%)67 (62%)
 Anastomotic leakage23 (30%)13 (27%)40 (27%)29 (27%)
 Ischemia3 (4%)1 (2%)11 (7%)9 (8%)
 Inflammation5 (6%)3 (6%)4 (3%)2 (2%)
 Othera 7 (9%)5 (10%)3 (2%)2 (2%)
Nosocomial (postoperative) peritonitis37 (47%)22 (45%)71 (47%)48 (44%)0.920
Localization0.972
 Upper GI tract (incl. small bowel)19 (24%)10 (20%)39 (26%)28 (26%)
 Lower GI tract51 (65%)33 (67%)100 (66%)71 (65%)
 Biliary tract6 (8%)4 (8%)8 (5%)6 (6%)
 Otherb 2 (3%)2 (4%)4 (3%)4 (4%)
In-hospital mortality27 (35%)13 (27%)23 (15%)18 (17%)0.143
Type of contamination0.300
 Clear4 (5%)0 (0%)10 (7%)5 (5%)
 Turbid/cloudy19 (24%)11 (22%)28 (19%)23 (21%)
 Purulent24 (31%)14 (29%)51 (34%)39 (36%)
 Fecal30 (38%)23 (47%)56 (37%)37 (34%)
 Bile1 (1%)1 (2%)6 (4%)5 (5%)

a‘Other’ consisted of 8x no evident infectious focus in contaminated abdomen, 1x bile leakage, 1x infected haematoma

b‘Other’ consisted of either an infectious focus localized at the upper as well as the lower GI tract or at a gynecologic site.

All continuous data are analyzed with the Mann Whitney-U test

All categorical data are analyzed with the Chi square test

IQR interquartile range

Table 2

Demographic and clinical characteristics compared for patients with in-hospital death and patients who survived the first hospital admission

VariablesIn-hospital deathSurvival P values for available cultures
All (N = 50)Cultures available (n = 31)All (N = 179)Cultures available (n = 127)
Age (years), median (IQR)73 (68–77)74 (67–78)66 (55–73)64 (55–75)0.004
Male21 (42%)15 (48%)88 (49%)62 (49%)0.966
Major comorbidity present, no. (%)31 (62%)17 (55%)105 (59%)75 (59%)0.670
 Malignancy11 (22%)6 (19%)46 (26%)33 (26%)0.443
 Cardiovascular disease9 (18%)7 (23%)45 (25%)35 (28%)0.574
 Respiratory disease (COPD)14 (28%)7 (23%)17 (9%)10 (8%)0.018
 Renal disease8 (16%)0 (0%)9 (5%)1 (1%)0.009
 Diabetes2 (4%)1 (3%)18 (10%)13 (10%)0.218
Severity of disease
 APACHE II score at study entry, median (IQR)19 (16–24)20 (16–24)14 (12–17)14 (12–17)<0.001
Etiology of peritonitis, no. (%)0.029
 Perforation34 (68%)25 (81%)99 (55%)69 (54%)
 Anastomotic leakage7 (14%)2 (6%)56 (31%)40 (31%)
 Ischemia6 (12%)3 (10%)8 (4%)7 (6%)
 Inflammation1 (2%)0 (0%)8 (4%)5 (4%)
 Othera 2 (4%)1 (3%)8 (4%)6 (5%)
Nosocomial (postoperative) peritonitis14 (28%)4 (13%)94 (53%)66 (52%)<0.001
Localization0.500
 Upper GI tract (incl small bowel)15 (30%)10 (32%)43 (24%)28 (22%)
 Lower GI tract34 (68%)20 (65%)117 (65%)81 (64%)
 Biliary tract1 (2%)1 (3%)13 (7%)9 (7%)
 Otherb 0 (0%)0 (0%)6 (3%)6 (5%)
Type of contamination0.697
 Clear5 (10%)1 (3%)9 (5%)4 (3%)
 Turbid/cloudy9 (18%)7 (23%)38 (21%)27 (21%)
 Purulent17 (34%)10 (32%)58 (32%)43 (34%)
 Fecal17 (34%)11 (35%)69 (39%)49 (39%)
 Bile2 (4%)2 (6%)5 (3%)4 (3%)

a‘Other’ consisted of 8x no evident infectious focus in contaminated abdomen, 1x bile leakage, 1x infected haematoma

b‘Other’ consisted of either an infectious focus localized at the upper as well as the lower GI tract or at a gynecologic site

All continuous data are analyzed with the Mann Whitney-U test

All categorical data are analyzed with the Chi square test

IQR interquartile range

Flow chart of patient inclusion and overall culture results per microbial profile Demographic and clinical characteristics compared for patients with ‘ongoing infection needing relaparotomy’ and patients with ‘no ongoing infection, not needing relaparotomy’ a‘Other’ consisted of 8x no evident infectious focus in contaminated abdomen, 1x bile leakage, 1x infected haematoma b‘Other’ consisted of either an infectious focus localized at the upper as well as the lower GI tract or at a gynecologic site. All continuous data are analyzed with the Mann Whitney-U test All categorical data are analyzed with the Chi square test IQR interquartile range Demographic and clinical characteristics compared for patients with in-hospital death and patients who survived the first hospital admission a‘Other’ consisted of 8x no evident infectious focus in contaminated abdomen, 1x bile leakage, 1x infected haematoma b‘Other’ consisted of either an infectious focus localized at the upper as well as the lower GI tract or at a gynecologic site All continuous data are analyzed with the Mann Whitney-U test All categorical data are analyzed with the Chi square test IQR interquartile range

Culture results

Abdominal fluid from the index laparotomy was cultured in 69% of patients (n = 158, Fig. 1). In 110 out of 158 (70%) patients more than one species were cultured (polymicrobial) at initial emergency laparotomy, while in 30 out of 158 (19%) patients one single strain of microorganisms (monomicrobial) was cultured (Table 3). Only 18 out of 158 cultures showed no microbial growth (11%).
Table 3

Distribution of microbes in the 140 patients with positive cultures, compared for monomicrobial versus polymicrobial cultures and for nosocomial peritonitis versus community-acquired peritonitis

MicrobesMono-microbiala Poly-microbialb Nosocomialc Community-acquiredd Total number of isolates
Gram (−) rods (coliforms)
 E. coli 1075424385
 Klebsiella pneumoniae 1168917
 Enterobacter cloacae 1129413
 Proteus mirabilis 0104610
 Gram (−) rods not specified36549
 Klebsiella oxytoca 18459
 Citrobacter freundii 07257
 Morganella (proteus) morganii 04224
 Serratia marcescens 02202
 Acinetobacter, not specified01101
 Citrobacter amalonaticus 01101
 Hafnia alfeii 01101
 Proteus vulgaris 01101
 Subtotal161448278160
Gram (+) cocci
 Enterococci, not specified659392665
 Enterococcus faecalis 2117613
 Streptococci viridans 0124812
 Streptococcus milleri 01347
 Coagulase negative Staphylococci07347
 Streptococci, not specified03123
 Staphylococcus hemolyticus 02202
 Staphylococci not specified02022
 Stapgylococcus aureus 01011
 Streptococci (Group B)01011
 Streptococcus constellatus 01011
 Subtotal81065955114
Anaerobes
 Anaerobes not further specified246252348
 Bacteroides fragilis 16167
 Bacillus not specified13314
 Bacteroides vulgaris 02112
 Bacteroides ovatus 10101
 Bacteroides difteroides 01101
 Clostridium septicum 01011
 Subtotal559323264
Yeast
 Yeast not further specified2169918
 Candida albicans 2115813
 Candida glabrata 03123
 Candida tropicalis 01011
 Subtotal431152035
Pseudomonas
 Pseudomonas aeruginosa 1135914
Total34353193194387

aIn 36 patients

bIn 104 patients

cIn 70 patients

dIn 88 patients

Distribution of microbes in the 140 patients with positive cultures, compared for monomicrobial versus polymicrobial cultures and for nosocomial peritonitis versus community-acquired peritonitis aIn 36 patients bIn 104 patients cIn 70 patients dIn 88 patients Patients were divided over the five clinically relevant microbial categories according to culture results, including the group with negative culture results. Forty-one patients (25%) had coliforms without gram positive species, 18 patients (11%) had gram positive cocci without gram negative species, 73 patients (46%) had both coliforms and gram positive cocci and five patients (3%) had anaerobes only (Fig. 1). In addition, 35 patients (22%) had yeast-positive cultures (3 patients monomicrobial yeast), while 13 patients (8%) were positive for Pseudomonas aeruginosa (1 patient monomicrobial; Fig. 1). Overall Escherichia coli was most frequently cultured (85 strains), followed by Enterococcus species (65 strains). A complete overview of cultured micro-organisms is presented in Table 3. Susceptibility results of cultures obtained at the initial laparotomy were available for 116 patients (83%). Overall resistance against antibiotics used as empiric regimen is depicted in Table 4. Resistance of Enterococcus species against amoxicillin specifically was 11% (11/99), whereas as much as 82% (61/99) of strains showed multidrug resistance. Regarding the ‘positive cocci only’ group 35% (6/17) of patients had strains resistant against amoxicillin. In the group where positive cocci and coliforms were cultured this resistance was only present in 8% (5/62) of patients. Gentamicin resistance of coliform strains was 3% (4/133) whereas 76% (101/133) of strains were multidrug resistant. Three of 14 (21%) strains with Pseudomonas showed multidrug resistance.
Table 4

Overall resistance for microbial subgroups specified for empiric regimen and multidrug resistance where antibiotic susceptibility is known (284 strains in 116 patients)

Microbial groupAmoxicillinGentamicinMetronidazolMultidrug resistancea
Positive cocci11% (11/99)n.a.n.a.62% (61/99)
Coliformsn.a.3% (4/133)n.a76% (101/133)
Anaerobesn.a.n.a.0% (0/52)21% (11/52)

a Resistance for more then one antibiotic

n.a. not applicable

Overall resistance for microbial subgroups specified for empiric regimen and multidrug resistance where antibiotic susceptibility is known (284 strains in 116 patients) a Resistance for more then one antibiotic n.a. not applicable In total, 78 out of 229 (34%) patients had ‘ongoing infection needing a relaparotomy’ and 50 out of 229 (22%) patients died in-hospital. When patients with cultures available were compared to those without cultures, comparable proportions of patients with ‘ongoing infection needing relaparotomy’ (with culture 49/158, 31% vs. without culture 29/71, 41%, P = 0.13) and comparable proportions of patients who died in-hospital (with culture 31/158, 20% vs. without culture 18/71, 26%, P = 0.32) were seen. As can be expected, mortality was higher in the group with ongoing infection (35% vs. 15% for all patients and 27% vs. 17% for those with available culture results; Table 1). Poly- and monomicrobial growth was seen in comparable proportions of patients with or without ongoing infection and of patients who did or did not survive (Tables 5 and 6).
Table 5

Predictive value of microbial profile for ‘ongoing infection needing relaparotomy’ in patients with culture available from index laparotomy (n = 158)

AnalysisOngoing infection needing relaparotomy (N = 49)No ongoing infection, not needing relaparotomy (N = 109)OR95% CI P
Univariate analysis
Monomicrobiala 11(23%)19(20%)0.840.36–1.50.686
Microbial profile
 Negative culture result2(4%)16(15%)0.250.06–1.120.070
 Coliform12(25%)29(27%)0.900.41–1.950.779
 Gram (+) cocci6(12%)12(11%)1.130.40–3.200.821
 Coliforms and gram (+) cocci26(53%)47(43%)1.490.76–2.940.247
 Only anaerobes2(4%)3(3%)1.500.24–9.300.661
Yeast present10(20%)25(23%)0.860.38–1.970.724
Pseudomonas present2(4%)11(11%)0.380.08–1.780.219
Amoxicilline resistant gram (+) coccib 6(15%)5(5%)3.270.94–11.450.063
Gentamicin resistant coliformsb 3(8%)1(1%)7.830.79–77.780.079
Multi drug resistanceb 31(79%)63(66%)1.360.60–3.060.465
Multivariate analysisb
 Negative culture result2(5%)16(17%)0.290.06–1.350.189
 Amoxicilline resistant gram (+) cocci6(15%)5(5%)3.430.95–12.380.060
 Gentamicin resistant coliforms3(8%)1(1%)7.610.75–76.940.085
 Perforation or ischemia23(59%)65(68%)0.670.30–1.520.342

OR odds ratio, CI confidence interval

a Regression analysis in 140 patients with positive culture result (47 ongoing infection, 93 no ongoing infection), since patients without growth are in neither of the categories.

b Regression analysis in 134 patients with known susceptibility or negative culture result (39 ongoing infection, 95 no ongoing infection).

Table 6

Predictive value of microbial profile for in-hospital death in patients with culture available from index laparotomy (n = 158)

AnalysisIn-hospital death (N = 31)Survival (N = 127)OR95% CI P
Univariate analysis
Monomicrobiala 7(23%)23(18%)1.290.49–3.400.607
Microbial profile
 Negative culture result3(10%)15(12%)0.800.22–2.960.738
 Coliforms6(19%)35(28%)0.600.22–1.610.310
 Gram (+) cocci8(26%)10(8%)4.081.43–11.610.008
 Coliforms and gram (+) cocci12(39%)61(48%)0.630.27–1.450.274
 Only anaerobes1(3%)4(3%)1.000.1–9.31.000
yeast present8(26%)27(21%)1.260.50–3.180.626
Pseudomonas present2(6%)11(9%)0.710.15–3.390.664
Amoxicilline resistant gram (+) coccib 3(12%)8(7%)1.630.40–6.260.494
Gentamicin resistant coliformsb 1(4%)3(3%)1.400.14–14.030.775
Multi-drug resistanceb 18(69%)76(70%)0.910.35–2.230.830
Multivariate analysis
 Gram (+) cocci8(26%)10(8%)3.690.99–13.800.052
 APACHE II score, median (IQR)20(16–24)14(12–17)1.221.10–1.36<0.001
 Community-acquired27(87%)61(48%)5.571.68–18.470.005
 Upper GI perforation8(26%)16(13%)2.060.60–7.060.253
 Age, median (IQR)74(67–78)64(55–75)1.041.00–1.00.069

OR odds ratio, CI confidence interval

a Regression analysis in 140 patients with positive culture result (28 in-hospital death, 112 survival), since patients without growth are in neither of the categories

b Regression analysis in 134 patients with known susceptibility or negative culture result (26 in-hospital death, 108 survival)

Predictive value of microbial profile for ‘ongoing infection needing relaparotomy’ in patients with culture available from index laparotomy (n = 158) OR odds ratio, CI confidence interval a Regression analysis in 140 patients with positive culture result (47 ongoing infection, 93 no ongoing infection), since patients without growth are in neither of the categories. b Regression analysis in 134 patients with known susceptibility or negative culture result (39 ongoing infection, 95 no ongoing infection). Predictive value of microbial profile for in-hospital death in patients with culture available from index laparotomy (n = 158) OR odds ratio, CI confidence interval a Regression analysis in 140 patients with positive culture result (28 in-hospital death, 112 survival), since patients without growth are in neither of the categories b Regression analysis in 134 patients with known susceptibility or negative culture result (26 in-hospital death, 108 survival)

Predictive value of microbial profile

‘Ongoing infection needing relaparotomy’

No microbial profile cultured from abdominal fluid samples at the initial emergency laparotomy was associated with ongoing infection (Table 5). Only the absence of microbial growth was associated with a lower rate of ongoing abdominal infection needing relaparotomy, as can be expected (OR 0.25, 95%CI 0.06–1.12, P = 0.070). Furthermore, resistance to the empiric therapy of gram positive cocci and coliforms was associated with ongoing infection (OR 3.27, 95%CI 0.94–11.45, P = 0.063 and OR 7.83, 95%CI 0.79–77.78, P = 0.079). These variables were entered in a multivariate regression model along with perforation or ischemia as the cause of abdominal sepsis because this was less frequent in patients with ongoing infection. The multivariate analysis showed that although not statistically significant, there was a strong independent association of amoxicillin resistant gram positive cocci (OR 3.43, 95%CI 0.95–12.38, P = 0.060) and gentamicin resistant coliforms (OR 7.61, 95%CI 0.75–76.94, P = 0.085) with ongoing infection.

In-hospital death

Monoculture of gram positive cocci in the abdominal fluid at the initial emergency laparotomy was highly associated with in-hospital death (OR 4.08, 95%CI 1.5–11, P = .008). Other microbial profiles were not clearly associated with in-hospital death (Table 6). Looking closer at patients with only gram positive cocci, no major differences were seen in severity of disease and baseline peritonitis characteristics compared to the other patients. We did find, however, that a large proportion (72%) underwent surgery for peritonitis due to a perforation (Table 7). Moreover, more patients with only gram positive bacteria had an upper gastrointestinal (GI) source of peritonitis compared to patients with other bacterial profiles (44% versus 21%). Although patients with gram positive bacteria only showed high rates of resistance to empiric therapy, this was not associated with death.
Table 7

Disease characteristics comparing patients with only gram positive cocci (n = 18) to those with other cultured micro-organisms (n = 140) from index laparotomy (n = 158)

VariablesOnly gram (+) cocciOthers P value
N = 18 N = 140
Severity of disease
 APACHE II score at study entry, median (IQR)17(13–20)15(12–17)0.178
Etiology of peritonitis, no. (%)0.485
 Perforation14(78%)80(57%)
 Anastomotic leakage3(17%)39(28%)
 Ischemia1(6%)9(6%)
 Inflammation0(0%)5(4%)
 Othera 0(0%)7(5%)
Nosocomial (postoperative) peritonitis6(33%)64(46%)0.320
Localization0.454
 Upper GI tract (incl. small bowel)8(44%)30(21%)
 Lower GI tract9(50%)95(68%)
 Biliary tract1(6%)9(6%)
 Otherb 0(0%)6(4%)
Amoxicilline resistancec 6(35%)5(4%)<0.001

a‘Other’ consisted of 8x no evident infectious focus in contaminated abdomen, 1x bile leakage, 1x infected haematoma

b‘Other’ consisted of either an infectious focus localized at the upper as well as the lower GI tract or at a gynecologic site.

c In 134 patients with known susceptibility or negative culture result (n = 17 only gram positive cocci profile, n = 117 other profiles)

Continuous data were analyzed with the Mann Whitney U-test. All categorical data were analyzed with the chi-square test

IQR interquartile range

Disease characteristics comparing patients with only gram positive cocci (n = 18) to those with other cultured micro-organisms (n = 140) from index laparotomy (n = 158) a‘Other’ consisted of 8x no evident infectious focus in contaminated abdomen, 1x bile leakage, 1x infected haematoma b‘Other’ consisted of either an infectious focus localized at the upper as well as the lower GI tract or at a gynecologic site. c In 134 patients with known susceptibility or negative culture result (n = 17 only gram positive cocci profile, n = 117 other profiles) Continuous data were analyzed with the Mann Whitney U-test. All categorical data were analyzed with the chi-square test IQR interquartile range Multivariate analysis was performed to determine whether gram positive cocci were independently associated with mortality. The variables ‘gram positive cocci only’ (yes/no), severity of disease (APACHE-II score), upper GI perforation (yes/no), community-acquired (yes/no) and age were entered into the model. Community-acquired peritonitis (OR 5.57, 95%CI 1.68–18.47, P = .0.005) and APACHE-II score (OR 1.22 per point increase, 95%CI 1.10–1.36, P < .0.001) were independently associated with in-hospital death. Monoculture of gram positive cocci (OR 3.7, 95%CI 0.99–13.8, P = .0.021) was borderline associated with in-hospital death. Univariate analysis showed there was no association of amoxicillin resistant gram positive cocci and in-hospital death (OR 1.63, 95%CI 0.40–6.26, P = 0.494) despite the independent association with ongoing infection.

Nosocomial versus community-acquired peritonitis

The similar distribution of micro-organisms between community-acquired and nosocomial peritonitis (Table 3) is also reflected by comparable microbial profiles (Table 8).
Table 8

Outcomes comparing patients with nosocomial (n = 108) peritonitis versus community-acquired (n = 121) peritonitis

VariablesNosocomial peritonitisCommunity-acquired peritonitis P values for available cultures
All (N = 108)Cultures available (N = 70)All (N = 121)Cultures available (N = 88)
Severity of disease
 APACHE II score at study entry, median (IQR)14(13–16)14(12–16)16(13–20)16(12–20)0.075
Primary outcomes
 Ongoing infection needing relaparotomy37(34%)22(31%)41(34%)27(31%)0.920
 In-hospital death14(13%)a 4(6%)36(30%)*27(31%)<0.001
Cultures
 Monomicrobial12(17%)18(20%)0.478
 Microbial profile
  Negative culture results6(9%)12(14%)0.320
  Coliforms18(26%)23(26%)0.952
  Gram (+) cocci6(9%)12(14%)0.320
  Coliforms and gram (+) cocci39(56%)34(39%)0.032
  Only anaerobes1(1%)4(5%)0.266
 Yeast present15(21%)20(23%)0.845
 Pseudomonas present5(7%)8(9%)0.658
Amoxicilline resistant gram (+) coccib 5(9%)6(10%)0.891
Gentamicin resistant coliformsb 2(4%)2(3%)0.916
Multi-drug resistanceb 50(91%)44(72%)0.001

a P = 0.002 (all patients)

b In 134 patients with known susceptibility or negative culture result (n = 61 nosocomial peritonitis, n = 73 community-acquired peritonitis)

Continuous data were analyzed with the Mann Whitney U-test. All categorical data were analyzed with the chi-square test

IQR interquartile range

Outcomes comparing patients with nosocomial (n = 108) peritonitis versus community-acquired (n = 121) peritonitis a P = 0.002 (all patients) b In 134 patients with known susceptibility or negative culture result (n = 61 nosocomial peritonitis, n = 73 community-acquired peritonitis) Continuous data were analyzed with the Mann Whitney U-test. All categorical data were analyzed with the chi-square test IQR interquartile range The finding that community-acquired peritonitis is an independent predictor of death is reflected in significantly more patients with community-acquired peritonitis who died in-hospital (31% vs. 6%, P < .0.001). However, since there is a similar distribution of the microbial profiles, other factors in community-acquired peritonitis were examined. Initial severity of disease was somewhat more profound for the community-acquired peritonitis group (APACHE-II score 16 [IQR 12–20] vs. nosocomial 14 [IQR 12–16], P = .0.075). On the other hand, just the same proportion of patients with community-acquired peritonitis and nosocomial peritonitis needed a relaparotomy for ongoing infection (31%; Table 8).

Discussion

In this study culture results from the initial emergency laparotomy of secondary peritonitis patients were studied for their microbial patterns as well as for their effect on ongoing abdominal infection and on in-hospital death. Patients participated in a randomized trial to evaluate effectiveness of two surgical treatment strategies. In a large proportion of patients (31%) no abdominal cultures were drawn at initial surgery. Surgeons were blinded for the allocated surgical treatment strategy at the time of the initial laparotomy [12]. This would eliminate selection bias in retrieval of fluid samples for culture merely related to whether or not a relaparotomy would follow. Nevertheless, macroscopic appearance of the abdominal contamination or source of infection might have been reason for selection of patients needing cultures. This bias can work in either direction: some surgeons might feel that cultures might be superfluous in clear-cut fecal contamination due to anastomotic leakage, whereas others might anticipate different microorganisms in nosocomial peritonitis resulting in a higher tendency to culture. No differences were found in demographic and clinical characteristics, showing that potential selection bias did not affect distribution of patients in the cultured group versus the total trial cohort. Culture results from the initial emergency laparotomy revealed a large contribution of gram positive cocci as infectious agent. In more than half of the patients (58%) gram positive species were retrieved, with or without presence of other microorganisms. As can be expected, the absence of microbial growth was associated with a lower rate of ongoing infection. Nevertheless, these patients did have peritonitis at index operation, predominantly caused by perforation or anastomotic leakage (14 out of 18 patients without microbial growth). Furthermore, a larger proportion of patients with ongoing infection needing relaparotomy exhibited amoxicillin resistant positive cocci and gentamicin resistant coliforms. Although a significant association could not be determined, it can be argued that these results are indeed clinically relevant. On the other hand, results are based on sub analyses and therefore study numbers were small and probably under powered. Secondary peritonitis caused by gram positive cocci, predominantly Entercoccus spp., in the absence of gram negative microorganisms was associated with in-hospital death. This association appears to be very relevant for clinical practice. Resistance to empiric therapy was associated with ongoing infection, but this resistance was not associated with increased risk of in-hospital death. Possibly the current sample size limits the capacity to determine this association. There is evidence that suggests that complicated intra-abdominal infections involving mixed flora can be treated with surgery and non-enterococcal antibiotic coverage [22]. However, in settings without routine empiric coverage of enterococci, enterococcal infections are associated with a higher mortality [22]. Patients in our study all received empiric coverage of Enterococcus spp. by amoxicillin. The high prevalence of Enterococcus spp. and the reported higher mortality due to Enterococcus spp. suggests benefit from empiric coverage. The regimen used should take into account regional resistance patterns, including resistance to amoxicillin of gram negative microorganisms. In our hospital and for this study suitability of empirical antibacterial treatment was based on national resistance surveillance data [30]. In the Nethmap database nationwide microbial resistance patterns are evaluated, a surveillance that is performed yearly. Based on these data coverage of empiric therapy consisting of amoxicillin, gentamicin and metronidazole should have been appropriate in the vast majority of cases. Resistance of Enterococcus spp. against amoxillin in this study, however, surprisingly exceeded regional prevalence. We can conclude, based only on present results, that amoxicillin coverage may be insufficient in these severely ill patients. Importantly, in our setting vancomycin resistant Enterococcus spp. are rare (sporadic encounter, 0% www.swab.nl) and vancomycin is not part of empiric therapy. Yeast strains are common in early severe secondary peritonitis (22%), but not clearly related to mortality in this cohort of patients. Patients did not receive prophylactic or preemptive antifungal therapy, but were treated in case of clinically suspected or confirmed invasive candidiasis. The absence of any relation between yeast in polymicrobial infection and death is not likely caused by a lack of prophylaxis. A recent systematic review of prospective trials evaluating single drug antifungal prophylaxis, demonstrates that prophylaxis is not as effective for surgical patients as opposed to medical patients [31]. These results and presented data do not support the view to broaden the empiric regimen with coverage of yeast in patients with peritonitis. Also, empiric coverage of Pseudomonas aeruginosa can not be propagated based on present results. Pseudomonas is a notorious hospital microbe, opportunistic and resistant to many antibiotics [32]. Here, prevalence of Pseudomonas was similar among survivors and nonsurvivors, and surprisingly not more frequent in nosocomial peritonitis than in community-acquired peritonitis for early disease. Furthermore, nosocomial peritonitis was associated with similar proportions of patients with yeast or Pseudomonas spp. as was community-acquired peritonitis. Nosocomial infection is often associated with other types of pathogens than community-acquired infection. This is well-known for pneumonia [33]. It is likely that during initial disease, be it an anastomotic leakage (nosocomial) or perforated diverticulitis (community-acquired), the abdominal invasion of abundantly available enteric bacteria is quite similar. Therefore, when empiric antibiotic coverage is adequate and frequently evaluated by local resistance surveillance, cultures of abdominal fluid during initial laparotomy may not contribute to clinical management decisions in the individual patient. In conclusion, in this study on secondary peritonitis no microbial profile was associated with ongoing infection needing a relaparotomy except for a negative culture result. Although not statistically significant, the association between resistance to empiric therapy and ongoing infection compels more attention to be paid to resistance in the selection of empiric antibiotic coverage. Present data do not support empiric coverage of yeast and Pseudomonas spp. in abdominal sepsis. Gram positive cocci, in particular Enterococcus spp., appeared to be a larger threat to peritonitis patients than previously assumed.
  25 in total

1.  Variables associated with positive findings at relaparotomy in patients with secondary peritonitis.

Authors:  Oddeke van Ruler; Bas Lamme; Dirk J Gouma; Johannes B Reitsma; Marja A Boermeester
Journal:  Crit Care Med       Date:  2007-02       Impact factor: 7.598

2.  Interventional management of abdominal sepsis: when and how.

Authors:  H Van Goor
Journal:  Langenbecks Arch Surg       Date:  2002-09-04       Impact factor: 3.445

3.  Patient stratification in intra-abdominal infection.

Authors:  D H Wittmann; M Müller
Journal:  Chemioterapia       Date:  1987-06

4.  Risk factors associated with intraabdominal infections: a prospective multicenter study. Peritonitis Study Group.

Authors:  H Wacha; T Hau; R Dittmer; C Ohmann
Journal:  Langenbecks Arch Surg       Date:  1999-02       Impact factor: 3.445

Review 5.  The epidemiology, pathogenesis and treatment of Pseudomonas aeruginosa infections.

Authors:  James A Driscoll; Steven L Brody; Marin H Kollef
Journal:  Drugs       Date:  2007       Impact factor: 9.546

6.  Management of intra-abdominal infections. The case for intraoperative cultures and comprehensive broad-spectrum antibiotic coverage. The Canadian Intra-abdominal Infection Study Group.

Authors:  N V Christou; P Turgeon; R Wassef; O Rotstein; J Bohnen; M Potvin
Journal:  Arch Surg       Date:  1996-11

7.  Re-operation for complicated secondary peritonitis - how to identify patients at risk for persistent sepsis.

Authors:  R G Holzheimer; B Gathof
Journal:  Eur J Med Res       Date:  2003-03-27       Impact factor: 2.175

Review 8.  Are there patients with peritonitis who require empiric therapy for enterococcus?

Authors:  S Harbarth; I Uckay
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2004-01-21       Impact factor: 3.267

Review 9.  Surviving Sepsis Campaign guidelines for management of severe sepsis and septic shock.

Authors:  R Phillip Dellinger; Jean M Carlet; Henry Masur; Herwig Gerlach; Thierry Calandra; Jonathan Cohen; Juan Gea-Banacloche; Didier Keh; John C Marshall; Margaret M Parker; Graham Ramsay; Janice L Zimmerman; Jean-Louis Vincent; Mitchell M Levy
Journal:  Crit Care Med       Date:  2004-03       Impact factor: 7.598

Review 10.  Community-acquired and nosocomial pneumonia.

Authors:  Christian J Herold; Johannes G Sailer
Journal:  Eur Radiol       Date:  2004-03       Impact factor: 5.315

View more
  9 in total

Review 1.  [Surgical treatment of secondary peritonitis: A continuing problem. German version].

Authors:  O van Ruler; M A Boermeester
Journal:  Chirurg       Date:  2016-01       Impact factor: 0.955

2.  2013 WSES guidelines for management of intra-abdominal infections.

Authors:  Massimo Sartelli; Pierluigi Viale; Fausto Catena; Luca Ansaloni; Ernest Moore; Mark Malangoni; Frederick A Moore; George Velmahos; Raul Coimbra; Rao Ivatury; Andrew Peitzman; Kaoru Koike; Ari Leppaniemi; Walter Biffl; Clay Cothren Burlew; Zsolt J Balogh; Ken Boffard; Cino Bendinelli; Sanjay Gupta; Yoram Kluger; Ferdinando Agresta; Salomone Di Saverio; Imtiaz Wani; Alex Escalona; Carlos Ordonez; Gustavo P Fraga; Gerson Alves Pereira Junior; Miklosh Bala; Yunfeng Cui; Sanjay Marwah; Boris Sakakushev; Victor Kong; Noel Naidoo; Adamu Ahmed; Ashraf Abbas; Gianluca Guercioni; Nereo Vettoretto; Rafael Díaz-Nieto; Ihor Gerych; Cristian Tranà; Mario Paulo Faro; Kuo-Ching Yuan; Kenneth Yuh Yen Kok; Alain Chichom Mefire; Jae Gil Lee; Suk-Kyung Hong; Wagih Ghnnam; Boonying Siribumrungwong; Norio Sato; Kiyoshi Murata; Takayuki Irahara; Federico Coccolini; Helmut A Segovia Lohse; Alfredo Verni; Tomohisa Shoko
Journal:  World J Emerg Surg       Date:  2013-01-08       Impact factor: 5.469

3.  [Characterization of bacterial flora in community peritonitis carried out in Burkina Faso].

Authors:  Mahamoudou Sanou; Armand Ky; Edgard Ouangre; Cyrille Bisseye; Adama Sanou; Bolni Marius Nagalo; Drissa Sanou; Jacques Simporé; Lassana Sangare; Rasmata Traore
Journal:  Pan Afr Med J       Date:  2014-05-05

Review 4.  Management of intra-abdominal infections: recommendations by the WSES 2016 consensus conference.

Authors:  Massimo Sartelli; Fausto Catena; Fikri M Abu-Zidan; Luca Ansaloni; Walter L Biffl; Marja A Boermeester; Marco Ceresoli; Osvaldo Chiara; Federico Coccolini; Jan J De Waele; Salomone Di Saverio; Christian Eckmann; Gustavo P Fraga; Maddalena Giannella; Massimo Girardis; Ewen A Griffiths; Jeffry Kashuk; Andrew W Kirkpatrick; Vladimir Khokha; Yoram Kluger; Francesco M Labricciosa; Ari Leppaniemi; Ronald V Maier; Addison K May; Mark Malangoni; Ignacio Martin-Loeches; John Mazuski; Philippe Montravers; Andrew Peitzman; Bruno M Pereira; Tarcisio Reis; Boris Sakakushev; Gabriele Sganga; Kjetil Soreide; Michael Sugrue; Jan Ulrych; Jean-Louis Vincent; Pierluigi Viale; Ernest E Moore
Journal:  World J Emerg Surg       Date:  2017-05-04       Impact factor: 5.469

5.  Outcome of community- versus hospital-acquired intra-abdominal infections in intensive care unit: a retrospective study.

Authors:  Timothée Abaziou; Fanny Vardon-Bounes; Jean-Marie Conil; Antoine Rouget; Stéphanie Ruiz; Marion Grare; Olivier Fourcade; Bertrand Suc; Marc Leone; Vincent Minville; Bernard Georges
Journal:  BMC Anesthesiol       Date:  2020-12-01       Impact factor: 2.217

6.  Surgical treatment of secondary peritonitis : A continuing problem.

Authors:  O van Ruler; M A Boermeester
Journal:  Chirurg       Date:  2017-01       Impact factor: 0.955

Review 7.  Antimicrobials: a global alliance for optimizing their rational use in intra-abdominal infections (AGORA).

Authors:  Massimo Sartelli; Dieter G Weber; Etienne Ruppé; Matteo Bassetti; Brian J Wright; Luca Ansaloni; Fausto Catena; Federico Coccolini; Fikri M Abu-Zidan; Raul Coimbra; Ernest E Moore; Frederick A Moore; Ronald V Maier; Jan J De Waele; Andrew W Kirkpatrick; Ewen A Griffiths; Christian Eckmann; Adrian J Brink; John E Mazuski; Addison K May; Rob G Sawyer; Dominik Mertz; Philippe Montravers; Anand Kumar; Jason A Roberts; Jean-Louis Vincent; Richard R Watkins; Warren Lowman; Brad Spellberg; Iain J Abbott; Abdulrashid Kayode Adesunkanmi; Sara Al-Dahir; Majdi N Al-Hasan; Ferdinando Agresta; Asma A Althani; Shamshul Ansari; Rashid Ansumana; Goran Augustin; Miklosh Bala; Zsolt J Balogh; Oussama Baraket; Aneel Bhangu; Marcelo A Beltrán; Michael Bernhard; Walter L Biffl; Marja A Boermeester; Stephen M Brecher; Jill R Cherry-Bukowiec; Otmar R Buyne; Miguel A Cainzos; Kelly A Cairns; Adrian Camacho-Ortiz; Sujith J Chandy; Asri Che Jusoh; Alain Chichom-Mefire; Caroline Colijn; Francesco Corcione; Yunfeng Cui; Daniel Curcio; Samir Delibegovic; Zaza Demetrashvili; Belinda De Simone; Sameer Dhingra; José J Diaz; Isidoro Di Carlo; Angel Dillip; Salomone Di Saverio; Michael P Doyle; Gereltuya Dorj; Agron Dogjani; Hervé Dupont; Soumitra R Eachempati; Mushira Abdulaziz Enani; Valery N Egiev; Mutasim M Elmangory; Paula Ferrada; Joseph R Fitchett; Gustavo P Fraga; Nathalie Guessennd; Helen Giamarellou; Wagih Ghnnam; George Gkiokas; Staphanie R Goldberg; Carlos Augusto Gomes; Harumi Gomi; Manuel Guzmán-Blanco; Mainul Haque; Sonja Hansen; Andreas Hecker; Wolfgang R Heizmann; Torsten Herzog; Adrien Montcho Hodonou; Suk-Kyung Hong; Reinhold Kafka-Ritsch; Lewis J Kaplan; Garima Kapoor; Aleksandar Karamarkovic; Martin G Kees; Jakub Kenig; Ronald Kiguba; Peter K Kim; Yoram Kluger; Vladimir Khokha; Kaoru Koike; Kenneth Y Y Kok; Victory Kong; Matthew C Knox; Kenji Inaba; Arda Isik; Katia Iskandar; Rao R Ivatury; Maurizio Labbate; Francesco M Labricciosa; Pierre-François Laterre; Rifat Latifi; Jae Gil Lee; Young Ran Lee; Marc Leone; Ari Leppaniemi; Yousheng Li; Stephen Y Liang; Tonny Loho; Marc Maegele; Sydney Malama; Hany E Marei; Ignacio Martin-Loeches; Sanjay Marwah; Amos Massele; Michael McFarlane; Renato Bessa Melo; Ionut Negoi; David P Nicolau; Carl Erik Nord; Richard Ofori-Asenso; AbdelKarim H Omari; Carlos A Ordonez; Mouaqit Ouadii; Gerson Alves Pereira Júnior; Diego Piazza; Guntars Pupelis; Timothy Miles Rawson; Miran Rems; Sandro Rizoli; Claudio Rocha; Boris Sakakushev; Miguel Sanchez-Garcia; Norio Sato; Helmut A Segovia Lohse; Gabriele Sganga; Boonying Siribumrungwong; Vishal G Shelat; Kjetil Soreide; Rodolfo Soto; Peep Talving; Jonathan V Tilsed; Jean-Francois Timsit; Gabriel Trueba; Ngo Tat Trung; Jan Ulrych; Harry van Goor; Andras Vereczkei; Ravinder S Vohra; Imtiaz Wani; Waldemar Uhl; Yonghong Xiao; Kuo-Ching Yuan; Sanoop K Zachariah; Jean-Ralph Zahar; Tanya L Zakrison; Antonio Corcione; Rita M Melotti; Claudio Viscoli; Perluigi Viale
Journal:  World J Emerg Surg       Date:  2016-07-15       Impact factor: 5.469

8.  Antibiotic sensitivity in correlation to the origin of secondary peritonitis: a single center analysis.

Authors:  Rainer Grotelüschen; Lena M Heidelmann; Marc Lütgehetmann; Nathaniel Melling; Matthias Reeh; Tarik Ghadban; Anna Dupree; Jakob R Izbicki; Kai A Bachmann
Journal:  Sci Rep       Date:  2020-10-29       Impact factor: 4.379

9.  Epidemiology, clinical relevance and prognosis of staphylococci in hospital-acquired postoperative intra-abdominal infections: an observational study in intensive care unit.

Authors:  Kévin Boussion; Nathalie Zappella; Nathalie Grall; Lara Ribeiro-Parenti; Grégory Papin; Philippe Montravers
Journal:  Sci Rep       Date:  2021-03-15       Impact factor: 4.379

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.