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(other specimens)
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G. M. Rossolini et al.
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 workow 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 identication of the pathogen by
MALDI-ToF mass spectrometry and phenotypic AST (antimicrobial susceptibility testing) by disk diffusion or broth microdilution
9 Microbiological Diagnosis intheEra ofAntimicrobial Resistance
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Table 9.1 Novel systems for microbiological diagnosis
Novel diagnostic systems Rapid phenotypic antibiogram
Genotypic identication 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 2h Susceptibility
Nucleic acid amplication technology (NAAT)
Positive blood culture
Whole blood 4–5h Species
Positive blood culture Lower respiratory tract Cerebrospinal uid Synovial uid 1h [28] Implant and tissue Intra­abdominal
Time to response Results
4–6.5h Susceptibility
5–6.5h [20]
1–5h Species
1–5h [25, 26]
1h [27]
4–5h [29]
4–5h [30]
category/MIC value
category only
identication or resistance mechanisms detection
identication and resistance mechanisms detection
a
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References [1619]
[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 (Table9.1).
Other novel technologies for microbiological diagnosis are those based on the detection of specic 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 1–6h, while some of them can be used directly from clinical specimens; (2) high sensitivity, being culture-independent and exploiting signal amplication 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 identication 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 prole 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 cederocol, 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 prole 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) (Table9.1) [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 intheEra ofAntimicrobial 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 difcult-to-treat resistance, FDC cederocol, FTB cefepime/taniborbactam, IMR imipenem/relebactam, MRV meropenem/ vaborbactam
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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 cederocol. 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 conrmation by the conventional phenotypic workow. 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 workow. Clinicians should be familiar with recent developments in the eld of microbiological diagnosis to prot 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).
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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, etal. Difcult-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, etal. Carbapenemase-producing organisms: a global scourge. Clin Infect Dis. 2018;66(8):1290–7.
8. Bush K.Classication 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, etal. Novel antibiotics for multidrug-resistant Gram-positive microorganisms. Microorganisms. 2019;7(8):270.
12. Coppi M, Antonelli A, Niccolai C, etal. Nosocomial outbreak by NDM-1-producing Klebsiella pneumoniae highly resistant to cederocol, 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, etal. 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, etal. Molecular antibiogram in diagnostic clinical microbiology: advantages and challenges. Future Microbiol. 2017;12:361–4.
16. Bhalodi AA, MacVane SH, Ford B, etal. 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, etal. 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, etal. 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.
20. Tibbetts R, George S, Burwell R, etal. Performance of the reveal rapid antibiotic susceptibil­ity testing system on Gram-negative blood cultures at a large urban hospital. J Clin Microbiol. 2022;60(6):e0009822.
21. Silva-Dias A, Pérez-Viso B, Martins-Oliveira I, etal. Evaluation of FASTinov ultrarapid ow cytometry antimicrobial susceptibility testing directly from positive blood cultures. J Clin Microbiol. 2021;59(10):e0054421.
22. Lucignano B, Cento V, Agosta M, etal. Effective rapid diagnosis of bacterial and fungal blood­stream infections by T2 magnetic resonance technology in the pediatric population. J Clin Microbiol. 2022;60(10):e0029222.
23. Caméléna F, Péan de Ponlly G, Pailhoriès H, etal. Multicenter evaluation of the FilmArray blood culture identication 2 panel for pathogen detection in bloodstream infections. Microbiol Spectr. 2023;11(1):e0254722.
24. Burrack-Lange SC, Personne Y, Huber M, etal. Multicenter assessment of the rapid Unyvero blood culture molecular assay. J Med Microbiol. 2018;67(9):1294–301.
25. Webber DM, Wallace MA, Burnham C-AD, Anderson NW. Evaluation of the BioFire FilmArray Pneumonia Panel for detection of viral and bacterial pathogens in lower respiratory tract specimens in the setting of a tertiary care academic medical center. J Clin Microbiol. 2020;58(7):e00343–20.
26. Klein M, Bacher J, Barth S, etal. Multicenter evaluation of the Unyvero platform for testing bronchoalveolar lavage uid. J Clin Microbiol. 2021;59(3):e02497–20.
27. Trujillo-Gómez J, Tsokani S, Arango-Ferreira C, et al. Biore 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, etal. 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 assay Unyvero implant and tissue infection application for pathogen and antibiotic resistance gene detection in children and neonates. Infection. 2019;47(2):195–200.
30. Ciesielczuk H, Wilks M, Castelain S, etal. Multicenter performance evaluation of the Unyvero IAI cartridge for detection of intra-abdominal infections. Eur J Clin Microbiol Infect Dis. 2018;37(11):2107–15.
31. Relich RF, Abbott AN. Syndromic and point-of-care molecular testing. Clin Lab Med. 2022;42(4):507–31.
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33. Losito AR, Raffaelli F, Del Giacomo P, Tumbarello M. New drugs for the treatment of Pseudomonas aeruginosa infections with limited treatment options: a narrative review. Antibiotics (Basel). 2022;11(5):579.
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35. Oldenkamp R, Schultsz C, Mancini E, Cappuccio A.Filling the gaps in the global prevalence map of clinical antimicrobial resistance. Proc Natl Acad Sci U S A. 2021;118(1):e2013515118. Erratum in: Proc Natl Acad Sci U S A. 2021;118(42):e2116827118.
G. M. Rossolini et al.
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Infection Prevention andControl
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inAcute Care Surgery
GiorgiaSantandrea, CarloVallicelli, MassimoSartelli, FedericoCoccolini, LucaAnsaloni, VanniAgnoletti, andFaustoCatena
10.1 Classification andDiagnosis
ofIntra-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 classied 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
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Infectious peritonitis is classied 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 48h 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 classied 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 dene 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 andControl
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 inammation (pain, ten­derness, fever, tachycardia and/or tachypnea); signs such as oliguria, acute
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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-specic (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]).
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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 24h 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 4cm, 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 3–6cm 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 denitive intervention until the patient