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(other specimens)
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S/I/R
Isolated
colonies ID MALDI
Gram
≥3day
2days
≥
Phenotypic AST
S/I/R
Phenotypic AST
Subculture
Short
subculture
Isolated
colonies ID MALDI
≥2days
Phenotypic AST
Enrichment
Blood
Enrichment
Culture/Subculture
(Gram)
Other specimens
Fig. 9.1 The conventional culture-based workow for microbiological diagnosis with clinical specimens. In the case of blood (and sometimes with other u-
ids), an enrichment step is necessary before culturing on solid media to obtain isolated colonies, which are required for identication of the pathogen by
MALDI-ToF mass spectrometry and phenotypic AST (antimicrobial susceptibility testing) by disk diffusion or broth microdilution

9 Microbiological Diagnosis intheEra ofAntimicrobial Resistance
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Table 9.1 Novel systems for microbiological diagnosis
Novel diagnostic
systems
Rapid phenotypic
antibiogram
Genotypic
identication of
pathogens and
resistance
mechanisms
MIC minimum inhibitory concentration
a
Except for vancomycin and colistin MIC for S. aureus and Gram-negatives, respectively
Technology Sample
Time lapse
microscopy
Volatile
metabolites
analysis
Flow cytometry 2h Susceptibility
Nucleic acid
amplication
technology
(NAAT)
Positive blood
culture
Whole blood 4–5h Species
Positive blood
culture
Lower
respiratory
tract
Cerebrospinal
uid
Synovial uid 1h [28]
Implant and
tissue
Intraabdominal
Time to
response Results
4–6.5h Susceptibility
5–6.5h [20]
1–5h Species
1–5h [25, 26]
1h [27]
4–5h [29]
4–5h [30]
category/MIC
value
category only
identication or
resistance
mechanisms
detection
identication and
resistance
mechanisms
detection
a
75
References
[16–19]
[21]
[22]
[23, 24]
for fast phenotypic antibiogram are based on advanced imaging of bacteria (e.g., by
time-lapse microscopy), on the rapid analysis of metabolites produced by bacteria
(metabolomics) exposed to different antimicrobial agents, or on ow cytometry
analysis. Apart from rapidity, a major advantage of most of these technologies is
that they return the same result as conventional antibiogram, i.e., minimum inhibitory concentration (MIC) values, that can be interpreted by clinical breakpoints
(Table9.1).
Other novel technologies for microbiological diagnosis are those based on the
detection of specic DNA sequences in positive blood cultures or directly in clinical
specimens. These technologies, also referred to as genotype-based diagnostic technologies, may have a number of advantages including: (1) rapidity, with a range of
TTR of 1–6h, while some of them can be used directly from clinical specimens; (2)
high sensitivity, being culture-independent and exploiting signal amplication
steps; and (3) in some cases (when functioning as standalone highly automated
systems) the possibility of using them also in a near-patient mode, remotely controlled, which can be useful in settings with no laboratory facilities on-site.
Genotype-based diagnostic technologies not only provide microbial identication
in a timely and sensitive manner, but can also detect genetic determinants for antimicrobial resistances of clinical relevance; for instance, mec genes associated with

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methicillin-resistance in S. aureus, van genes associated with vancomycin resistance
in enterococci, and some β-lactamase genes encoding enzymes associated with resistance to third- and fourth-generation cephalosporins (extended- spectrum
β-lactamases) and carbapenems (carbapenemases) [31]. Genotypic detection of
resistance determinants can be very useful to rapidly inform about drugs that should
or should not be used. For instance, genotypic detection of a S. aureus and of the
cognate mecA gene in a clinical specimen obtained from a surgical infection suggests
an MRSA infection and, consequently, the need for using antimicrobial chemotherapy with anti-MRSA coverage. On the other hand, genotypic detection of a Klebsiella
pneumoniae and of a carbapenemases gene KPC in a clinical specimen suggests an
infection by KPC-producing K. pneumoniae and, consequently, the need for using an
antimicrobial regimen with anti-KPC coverage [32]; while genotypic detection of a
Pseudomonas aeruginosa and of a VIM carbapenemases gene suggest an infection
by P. aeruginosa producing the VIM metallo-enzyme and, consequently, the need for
using an antimicrobial regimen with coverage for this type of resistant pathogen [33].
Genotypic detection of resistance determinants, also called genotypic antibiogram,
returns actionable information as described in previous examples which, however, is
notably different from that of conventional phenotypic antibiogram. In fact, the presence or absence of a resistance determinant does not inform about MIC values but
only allows prediction of a likely resistance or susceptibility prole to some antimicrobial agents. For instance, detection of a K. pneumoniae and of a KPC carbapenemase gene allows us to predict a likely resistance to older β-lactams including
amoxicillin-clavulanate, piperacillin- tazobactam, ceftolozane-tazobactam, third- and
fourth-generation cephalosporins, and carbapenems, and a likely susceptibility to
new BLICs with anti-KPC activity (e.g., ceftazidime-avibactam, meropenem-vaborbactam, and imipenem-relebactam) and cederocol, while no information is provided about susceptibility/resistance to non-β-lactam agents such as aminoglycosides,
colistin, trimethoprim- sulfamethoxazole, and tigecycline. Despite these limitations,
this is very valuable information to rapidly review empiric antimicrobial chemotherapy if anti-KPC coverage was initially not included. In fact, the rapid detection
of carbapenemase genes has become a very valuable tool for guiding antimicrobial
stewardship and the appropriate use of the novel antibiotics active against DTR
Gram-negatives, since the prole of activity of these novel antibiotics differs, depending on the resistance determinant (Fig.9.2). Clearly, this advantage is greater in settings where the prevalence of DTR Gram-negatives is expected to be higher, as in
South-Eastern Europe, North Africa, Middle East, Latin America, and Southeast
Asia [34, 35].
Genotypic detection of pathogens and of clinically relevant resistance genes is
usually performed by the so-called molecular syndromic panels, which include panels of probes targeting the most common pathogens responsible for various infectious syndromes (e.g., bloodstream, lower respiratory tract, cerebrospinal uid,
implant and tissue, bone and joint, intra-abdominal and urinary tract infections)
(Table9.1) [31].
The genotypic approach to microbiological diagnosis has a number of advantages (see above) but also some limitations that should be acknowledged. A rst
limitation is represented by the fact that molecular syndromic panels only cover the

9 Microbiological Diagnosis intheEra ofAntimicrobial Resistance
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CarbapenemaseCZA MRVIMR FDCAZA FTB
KPC
OXA-48
VIM
NDM
IMP
Fig. 9.2 Activity of novel antibiotics for Gram-negative DTR Enterobacterales producing different types of carbapenemases. Red color indicates resistance, green color indicates susceptibility.
AZA aztreonam/avibactam, CZA ceftazidime/avibactam, DTR difcult-to-treat resistance, FDC
cederocol, FTB cefepime/taniborbactam, IMR imipenem/relebactam, MRV meropenem/
vaborbactam
77
most prevalent pathogens responsible for the various infectious syndromes: therefore, while a negative result is highly informative for excluding the presence of
pathogens that are targeted by the panel, it is not informative about the presence or
absence of pathogens that are not targeted by the panel. The same is also true for
resistance genes, of which only some are targeted by the probes included in syndromic panels [30]. A second limitation is related with the possibility of discrepancies between genotype and phenotype. For instance, a resistance gene can be present
but not expressed because of silencing due to various reasons (e.g., gene inactivation, lack of function of the promoter in a certain bacterial host): in these cases,
prediction of resistance based on detection of the resistance gene may be misleading
and can lead to overtreatment. On the other hand, detection of resistance genes by
current syndromic panels does not allow us to quantitate the gene dosage, which can
affect susceptibility to some agents. For example, an increased dosage of the KPC
carbapenemase gene may lead to increased enzyme production and resistance to
ceftazidime-avibactam and, possibly, also to meropenem-vaborbactam, imipenemrelebactam and cederocol. In this case, therefore, prediction of susceptibility to
these drugs based on the results of genotypic antibiogram can be misleading.
Due to these limitations, microbiological diagnosis relying on genotypic testing
still requires conrmation by the conventional phenotypic workow. Possibly, in
the future, the advent of new generations of genotypic diagnostic technologies
based on WGS, shotgun metagenomics and transcriptomics will help to overcome
these limitations.
9.5 Concluding Remarks
Microbiological diagnosis is essential for the properly handling of surgical infections. Nowadays, there are several novel technologies that may improve the quality
and rapidity of the diagnostic workow. Clinicians should be familiar with recent
developments in the eld of microbiological diagnosis to prot from their

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advantages but should also be aware of their limitations to avoid overinterpreting
and to properly contextualize the results. Genotypic antibiogram, in particular, is
becoming increasingly popular in settings characterized by a high prevalence of
antimicrobial resistant pathogens to rapidly predict the presence of clinically relevant resistances and support antimicrobial stewardship. However, it has also some
limitations, mostly related with possible discrepancies between genotype and phenotype, which can result in misleading predictions causing overtreatment or undertreatment. In this scenario of increasing complexity, the importance of a consulting
role by experienced clinical microbiologists who are fully familiar with the novel
diagnostic technologies should be emphasized.
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3):ckac129.595.
4. European Centre for Disease Prevention and Control. Directory of online resources for prevention and control of antimicrobial resistance (AMR) and healthcare-associated infections (HAI).
https://www.ecdc.europa.eu/en/publications- data/directory- online- resources- prevention- andcontrol- antimicrobial- resistance- amr. Accessed 16 Mar 2024.
5. Sartelli M, Coccolini F, Kluger Y, et al. WSES/GAIS/SIS-E/WSIS/AAST global
clinical pathways for patients with intra-abdominal infections. World J Emerg Surg.
2021;16(1):49.
6. Kadri SS, Adjemian J, Lai YL, etal. Difcult-to-treat resistance in Gram-negative bacteremia
at 173 US hospitals: retrospective cohort analysis of prevalence, predictors, and outcome of
resistance to all rst-line agents. Clin Infect Dis. 2018;67(12):1803–14.
7. Bonomo RA, Burd EM, Conly J, etal. Carbapenemase-producing organisms: a global scourge.
Clin Infect Dis. 2018;66(8):1290–7.
8. Bush K.Classication for β-lactamases: historical perspectives. Expert Rev Anti Infect Ther.
2023;21(5):513–22.
9. Bassetti M, Garau J.Current and future perspectives in the treatment of multidrug-resistant
Gram-negative infections. J Antimicrob Chemother. 2021;76(Suppl 4):iv23–37.
10. Rodríguez-Baño J, Gutiérrez-Gutiérrez B, Machuca I, Pascual A. Treatment of infections
caused by extended-spectrum-beta-lactamase-, AmpC-, and carbapenemase-producing
Enterobacteriaceae. Clin Microbiol Rev. 2018;31(2):e00079–17.
11. Koulenti D, Xu E, Mok IYS, etal. Novel antibiotics for multidrug-resistant Gram-positive
microorganisms. Microorganisms. 2019;7(8):270.
12. Coppi M, Antonelli A, Niccolai C, etal. Nosocomial outbreak by NDM-1-producing Klebsiella
pneumoniae highly resistant to cederocol, Florence, Italy, August 2021 to June 2022. Euro
Surveill. 2022;27(43):2200795.
13. Hobson CA, Pierrat G, Tenaillon O, et al. Klebsiella pneumoniae carbapenemase variants
resistant to ceftazidime-avibactam: an evolutionary overview. Antimicrob Agents Chemother.
2022;66(9):e0044722.

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14. Di Pilato V, Principe L, Andriani L, etal. Deciphering variable resistance to novel carbapenembased β-lactamase inhibitor combinations in a multi-clonal outbreak caused by Klebsiella
pneumoniae carbapenemase (KPC)-producing Klebsiella pneumoniae resistant to ceftazidime/
avibactam. Clin Microbiol Infect. 2023;29(4):537.e1–8.
15. Arena F, Giani T, Pollini S, etal. Molecular antibiogram in diagnostic clinical microbiology:
advantages and challenges. Future Microbiol. 2017;12:361–4.
16. Bhalodi AA, MacVane SH, Ford B, etal. Real-world impact of the Accelerate PhenoTest BC
kit on patients with bloodstream infections in the improving outcomes and antimicrobial stewardship study: a quasiexperimental multicenter study. Clin Infect Dis. 2022;75(2):269–77.
17. Rosselin M, Prod’hom G, Greub G, Croxatto A.Performance evaluation of the Quantamatrix
QMAC-dRAST system for rapid antibiotic susceptibility testing directly from blood cultures.
Microorganisms. 2022;10(6):1212.
18. Malmberg C, Torpner J, Fernberg J, etal. Evaluation of the speed, accuracy and precision of
the QuickMIC rapid antibiotic susceptibility testing assay with Gram-negative bacteria in a
clinical setting. Front Cell Infect Microbiol. 2022;12:758262.
19. Göransson J, Sundqvist M, Ghaderi E, etal. Performance of a system for rapid phenotypic
antimicrobial susceptibility testing of Gram-negative bacteria directly from positive blood culture bottles. Clin Microbiol. 2023;61(3):e0152522.
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21. Silva-Dias A, Pérez-Viso B, Martins-Oliveira I, etal. Evaluation of FASTinov ultrarapid ow
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22. Lucignano B, Cento V, Agosta M, etal. Effective rapid diagnosis of bacterial and fungal bloodstream infections by T2 magnetic resonance technology in the pediatric population. J Clin
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23. Caméléna F, Péan de Ponlly G, Pailhoriès H, etal. Multicenter evaluation of the FilmArray
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bronchoalveolar lavage uid. J Clin Microbiol. 2021;59(3):e02497–20.
27. Trujillo-Gómez J, Tsokani S, Arango-Ferreira C, et al. Biore FilmArray Meningitis/
Encephalitis panel for the aetiological diagnosis of central nervous system infections: a systematic review and diagnostic test accuracy meta-analysis. EClinicalMedicine. 2022;44:101275.
28. Saeed K, Ahmad-Saeed N, Annett R, etal. A multicentre evaluation and expert recommendations of use of the newly developed BioFire Joint Infection polymerase chain reaction panel.
Eur J Clin Microbiol Infect Dis. 2023;42(2):169–76.
29. Papan C, Meyer-Buehn M, Laniado G, Huebner J.Evaluation of the multiplex PCR based
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gene detection in children and neonates. Infection. 2019;47(2):195–200.
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IAI cartridge for detection of intra-abdominal infections. Eur J Clin Microbiol Infect Dis.
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2022;42(4):507–31.
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G. M. Rossolini et al.
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-
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by- nc- nd/4.0/), which permits any noncommercial use, sharing, distribution and reproduction in
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the copyright holder.

Infection Prevention andControl
https://t.me/med1917
inAcute Care Surgery
GiorgiaSantandrea, CarloVallicelli, MassimoSartelli,
FedericoCoccolini, LucaAnsaloni, VanniAgnoletti,
andFaustoCatena
10.1 Classification andDiagnosis
ofIntra-Abdominal Infections
In the evaluation of intra-abdominal infections (IAIs) there are several parameters
to consider, such as anatomical extent, presumed pathogens involved, local antibiotic resistance patterns and the patient’s clinical condition. IAIs can be classied as
uncomplicated, which involve a single organ and do not extend to the peritoneum,
or complicated, when the infection proceeds beyond the organ into the peritoneum,
causing localized or diffuse peritonitis [1]. Peritonitis, depending on the underlying
pathology, can be sterile or infectious.
10
G. Santandrea · C. Vallicelli · F. Catena (*)
Emergency and Trauma Surgery Department, Bufalini Hospital, Cesena, Italy
e-mail: giorgia.santandrea@auslromagna.it; carlo.vallicelli@auslromagna.it;
fausto.catena@auslromagna.it
M. Sartelli
Department of Surgery, Macerata Hospital, Macerata, Italy
e-mail: massimosartelli@gmail.com
F. Coccolini
General, Trauma and Emergency Surgery Department, Pisa University Hospital, Pisa, Italy
e-mail: federico.coccolini@gmail.com
L. Ansaloni
General, Emergency and Trauma Surgery Department, Policlinico San Matteo Hospital,
Pavia, Italy
e-mail: aiace63@gmail.com
V. Agnoletti
Intensive Care Unit, Bufalini Hospital, Cesena, Italy
e-mail: vanni.agnoletti@auslromagna.it
© The Author(s) 2025
S. Bartoli et al. (eds.), Infections in Surgery, Updates in Surgery,
https://doi.org/10.1007/978-3-031-60462-1_10
81

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Infectious peritonitis is classied into [2]:
– primary: diffuse bacterial infection without loss of integrity of the gastrointesti-
nal tract (typical of patients with cirrhotic ascites or patients undergoing perito-
neal dialysis); it usually requires no surgical treatment;
– secondary (the most common form), due to loss of integrity of the gastrointesti-
nal tract;
– tertiary: recurrent peritoneal infection which occurs more than 48h after appar-
ently successful and adequate surgical source control of secondary peritonitis
(usually associated with multidrug-resistant organisms, common in immuno-
compromised patients, associated with high morbidity and mortality).
Moreover, infections in emergency surgery can be classied into communityacquired and healthcare-associated abdominal infections, infections occurring in a
patient during the process of care in a hospital or other healthcare facility which
were not present or incubating at the time of admission. This differentiation is useful to dene the presumed resistance patterns and identify patients with increased
likelihood of infections caused by multidrug-resistant microorganisms [3, 4].
Healthcare-associated infections are: surgical site infections, catheter-associated
urinary infections, hospital-acquired pneumonia, ventilator-associated pneumonia,
central venous catheter-associated bloodstream infections, and Clostridioides dif-
cile infections. Patients with healthcare-associated infections are more likely to
have a longer hospital stay, require second-line or broader-spectrum and more
expansive antimicrobials and place greater demands on the health system. The
application of appropriate prevention and control strategies by the healthcare workers can reduce the risk of healthcare-associated infections. Good clinical practice is
based on infection prevention and control, adequate source control and antimicrobial stewardship.
G. Santandrea et al.
10.2 Infection Prevention andControl
Prevention of surgical site infection comprises:
– patient preoperative bathing or showering;
– appropriate surgical antibiotic prophylaxis;
– avoiding hair removal;
– correct surgical hand scrubbing/preparation. Using gloves does not replace the
need for cleaning hands;
– correct skin antiseptic preparation.
Early clinical evaluation is essential in the diagnostic process, in order to optimize
diagnostic testing and establish the proper therapeutic plan. The typical presentation
consists in abdominal pain and signs of local and systemic inammation (pain, tenderness, fever, tachycardia and/or tachypnea); signs such as oliguria, acute

10 Infection Prevention andControl inAcute Care Surgery
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alteration of mental status, lactic acidosis are indicative of organ failure sustained
by hypotension and hypoperfusion. Physical evaluation may help in the differential
diagnosis to direct decisions about diagnostic testing (ultrasound, computed tomography, magnetic resonance imaging) and patient management [5]. Prognostic scores
may be useful in clinical practice to assess the severity and the prognosis of the
disease and help in selecting treatment and patient management options. Scoring
systems can be divided into two groups:
– general organ failure severity (ICU) scores: these assess various organ systems
for the presence of dysfunction and are used in sepsis and other causes of multi-
organ failure (examples are the APACHE II score, SAPS score [6], and SOFA
score [7]);
– peritonitis-specic (surgical) scores: calculated before and during surgery, these
often include characteristics of the peritoneal contamination (examples are: the
P-Possum score, MPI score, PIA score [8], and the WSES complicated IAI score
from the WISS study [9]).
83
10.3 Source Control
The majority of patients with IAIs should undergo an urgent source control procedure, to eliminate the source of infection and control contamination. It should be
performed as soon as possible in patients with diffuse peritonitis, but it could be
delayed not more than 24h in patients with a localized infection if appropriate antimicrobial therapy is given [5]. Source control can be delayed in severely ill patients.
Operative intervention remains the treatment of choice in IAIs. It includes percutaneous drainage or surgical treatment. Well-localized uid collections of adequate
density and consistency can be drained percutaneously [10, 11]. Surgical source
control comprises resection or suture of diseased viscus, removal of the infected
organ, debridement of necrotic tissue, resection of ischemic bowel, repair/resection
of traumatic lesions. Laparoscopic lavage in complicated acute diverticulitis is
debated and its utility is not demonstrated [12]: in the majority of cases, in patients
with complicated acute diverticulitis, percutaneous drainage of abscesses or surgical resection are preferred. Highly selected patients with complicated diverticulitis,
including those with abscesses less than 4cm, a periappendicular mass or a perforated peptic ulcer can be managed without source control if responding to antimicrobial therapy and other supportive measures. Abscesses may be treated by
intravenous antibiotics alone or with percutaneous drainage, depending on the size
(a maximum diameter of 3–6cm is usually accepted for antibiotic treatment) [13,
14]. Antibiotics alone may be used in patients with early, non-perforated appendici-
tis [15]; also in patients with complicated appendicitis (abscess or phlegmons) nonoperative treatment can be tried [16, 17].
Damage control surgery may be an option in selected physiologically deranged
septic patients, in order to allow early draining of any residual infection and control
any persistent source of infection, postponing denitive intervention until the patient
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