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32 Telemedicine andArticial Intelligence
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societies are trying to pursue studies and consensus on telemedicine, for example, cardi­ologists, who are very advanced for the pathol­ogy that well combines with telemonitoring, others, for example, gastroenterologists, do not have much evidence on telehealth, telemonitor­ing and teleconsultation. On telehealth, then (a telehealth delivered by non-medical health pro­fessions, to put it simply) the evidence is virtually absent. And so why should physicians prescribe a telehealth service (unquestionable judgment) or telemonitoring, or teleconsultation without evi­dence to support them?
Worse are the other aspects of the standard of care that transcend clinical assessment: suitabil­ity of technological equipment, hygienic condi­tions. One would need a team of engineers and environmental hygiene experts, and then, who will verify and certify digital literacy?
32.1 The Provider Center
andtheService Center
task of distribution of medical devices to the patient’s home, their installation, maintenance as well as pick-up and sanitization at the end of the service. The Provider Center, managed mainly by healthcare providers, provides telemedicine ser­vices for patient monitoring; clinical parameters are monitored and health alerts are handled.”
It is not very clear whether it is meant to talk ONLY about telemonitoring, since in the previ­ous schemes published by AGENAS and approved at the state-regions conference, the ser­vice center is also indispensable in telehealth and tele-assistance. We understand this paragraph in the original concept, expressed in the initial sen­tence: the provider center is the health center, the ASL itself, the service center is the technology and related services partner. So, the service cen­ter does not have alarm nurses or doctors, the ser­vice center is a technical partner, the provider center is a clinical partner. In some cases, these two souls may physically coexist in the same place but with quite different professionals.
We have seen the “bad,” but we also see the good: some of the denitions found in the 2014 tele­medicine guidelines and then apparently com­pletely forgotten in the 2020 guidance reappear in the guidelines: the presence of two types of competency centers, which are indispensable: the service center and the provider center. The Ofcial Gazette (OG) denes them as follows:
“For each regional telemedicine infrastructure there must be the presence of one or more Service Centers, with purely technical tasks, and one or more Provider Centers, with purely healthcare tasks. The two entities, depending on the differ­ent territorial contexts, may also coexist in a sin­gle organization. The Service Center, managed mainly by technical staff, takes charge of all tech­nological aspects such as platform maintenance, account management, help desk for all users taken over by the regional telemedicine infra­structure, monitoring the proper functioning (including the management of technical alert messages) of medical devices, training on the use of medical devices to patients/caregivers, etc. The Service Center can also be entrusted with the
32.2 Do Televisit Platforms Have toBeMedical Devices?
Another interesting point is well understood: must televisit platforms be certied medical devices? Here, the guidelines seem very clear: “Where medical devices are used in the Televisit service, again, as indicated above for Teleconsultation, the software and ‘hardware for the delivery of the service shall be certied as a medical device with appropriate risk class within the regional telemedicine infrastructure” Only if medical devices are used in the service must the televisit platforms or teleconsultation/ telehealth APPs also be certied as DM; however, if you ask a patient or caregiver or RSA nurse to mea­sure blood pressure and verbally communicate the data, you don’t need certication as a medical device for the platform.
And this claries the confusion generated by what was stated in the 2020 national guidance on telemedicine that stated as follows:
Remote healthcare delivery: necessary ele­ments and standards. Listed below are the set of
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minimum and sufcient elements to implement a service with the functionality to deliver a service at a distance. Basic features: (...) g. certication of the hardware and/or software, as a medical device, suitable for the type of service to be pro­vided in telemedicine.
Many distinguished speakers talk about “man­datory certication for telehealth, teleconsulta­tion, Telehealth platforms.” Now it is clear: the obligation exists only if one uses medical devices integrated into the platform.
Are we there? Almost, and as any good man­ager knows almost is never the right answer. Nicolo Carosio,“ the “father“ of all soccer radio/ television announcers, in 1954, the year RAI broadcasting ofcially began, became famous for his “almost goal!” exclamation emphasizing an action nished just wide of the goal.
32.3 Electronic Prescription
inPractice
Regions did their homework, even in the pre­COVID era, some electronic prescriptions had to be printed on the “red” prescription sheet, the old one, especially for more expensive drugs. This rule has been abolished everywhere and today all prescriptions can be printed on white paper, still missing the “white prescription,” for class C drugs as an electronic prescription. The Minister of Innovation has claried that even with only the Electronic Recipe Number (NRE) the pharmacist can supply the drug. Unfortunately, despite the numerous clarications sent, many pharmacies, while accepting the NRE code, do not provide the drug until after printing the prescription directly at the pharmacy, resulting in longer “queues” outside pharmacies. Some do not accept the NRE code and refuse to provide the medication.
32.3.1 Televisit
Recognized, reimbursed, recommended--but practically not easy to do. General practitioners in most regions of Italy do telephone-medicine, certainly not televisit, there is a lack of wide-
spread platforms that can be used by GPs, most of the centers of high specialization are within hospital companies which in most cases are very slow to start off path of specialist televisits. According to CIRM, the International Radio Medical Center, even experienced professionals have to undergo specic training before being put on shift and starts by doing only short and “simple” shifts, only when a technician is pres­ent, who can help him in the technical problems of using the platform. He does not do over­nights, so that he can ask more experienced col­leagues for clarications on complex cases. A 2018 [2] article published in “Pediatric research,” one of the world’s most prestigious journals on the subject, part of the Nature group, titled “Physicians’ experiences, attitudes and challenges in a Pediatric Telemedicine Service” explored the experiences, attitudes, and challenges of physicians in a pediatric tele­medicine service in Israel. Fifteen physicians who had been working in Clalit’s “Online Pediatrician” service for the past 5years were interviewed. The main difculties highlighted were the problem of remote diagnosis, treating patients who are not well known, working with­out assistants, emergencies and the sometimes excessive call load, in addition to technology­related difculties and a “moral conict” between the desire to meet parents’ expecta­tions and maintaining standards of care. Physicians do assert that at times these non­medical factors also inuenced their decisions. The article’s conclusions stated: “In the eld of telemedicine, physicians face various difcul­ties and challenges, requiring expertise, quality, and skill. Special measures are needed to obtain appropriate diagnoses and decisions” It must also be premised that in Clalit, telemedicine can only be done by those with at least ve years of experience in the branch. We have heard about physicians “thrown” into televisits without any specic training and even of residents placed in televisits. Learning how to swim takes more than just the pool; it takes competent instruc­tors, suitable tools, time, and commitment. The same applies to telehealth, teleconsultation, and telecooperation.
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32.4 Return toNormality
inSpecialist Outpatient Clinics intheNHS
Despite the proclamations, great efforts are being made by all professionals to recover what has been lost in recent months, but in a system with waiting lists, for example, in my eld, Angiology, of several months, which was already working as hard as possible with the doctors and available equipment, increasing services is not easy; indeed, it is impossible and ends up at the expense of denied services to poor people that cannot always be ltered. Associations of cancer patients, patients with rheumatic and rare dis­eases, active citizens are becoming the interpret­ers of the “cry of pain” of those who have no voice, the most fragile, who are paying for it on their skin, literally. A patient of mine waited three months to have a skin graft done on a lesion (ulcer) on her Achilles tendon, and when it was possible to do so, after three months of pain fought even with opioids, the lesion had tripled in size.
32.5 Articial Intelligence
Telemedicine and artificial intelligence find their meeting point in the home setting, where the healthcare provider, caregiver, or the user himself can obtain evidence of wound improvement through integrated systems that can evaluate and transmit images and informa­tion of different formats that may use artificial intelligence; the latter, in addition to offering algorithms for treatment choice, should pre­vent biased evaluation by operators. Depending on the modality of image capture (light condi­tions, different equipment), they may deter­mine over or under estimation of wound progress.
A further example of such systems is Negative Pressure Therapy equipment provided with tele­assistance, in this case, an automated virtual assistant that provides answers to specic ques­tions, e.g., guidance for remote resolution of alarms or decision support in whether or not the clinician responsible for that therapy should be consulted.
Systems that rely on neural networks and rely on algorithms to determine the presence or absence, for example, of surgical site infection are currently being developed; subsequently via telemedicine, the transmission of images to the specialist can take place [3].
The role of articial intelligence, understood as a system capable of replicating human behavior is to support the specialist’s decision, primarily in assessing the progress of the injury, usually anchored in aspects such as variation in size, or signs of inammation and the color and quality of the exudate.
In fact, it is more correct to speak about machine learning, the ability of the system to learn and improve based on the data provided to it; given a stream of data, e.g., photographic images of similar lesions, the system recognizes a pattern and can make a prediction on this data, e.g., of healing or infection; it is intuitive how this represents an ‘opportunity for the healthcare community: in fact, numerous clinical entities are approaching this branch.
References
1. Barakat-Johnson M, Jones A, Burger M, Leong T, Frotjold A, Randall S, Kim B, Fethney J, Coyer F. Reshaping wound care: Evaluation of an arti­cial intelligence app to improve wound assessment and management amid the COVID-19 pandemic. Int Wound J. 2022;19(6):1561–77. https://doi.
org/10.1111/iwj.13755. Epub 2022 Feb 25. PMID:
35212459; PMCID: PMC9111327.
2. 2-11-2022 Gazzetta Ufciale Della Repubblica Italiana Serie generale—n. 256.
3. Fletcher RR, Schneider G, Hedt-Gauthier B, Nkurunziza T, Alayande B, Riviello R, Kateera F.Use of convolutional neural nets and transfer learn­ing for prediction of surgical site infection from color images. Annu Int Conf IEEE Eng Med Biol Soc. 2021;2021:5047–50. https://doi.org/10.1109/
EMBC46164.2021.9630430.
Part VI
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Infection in Wound Care
Infection Diagnosis
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GiovanniPapa, PaolaPini, StefanoDi Bella, andGiuliaBenedettaSidoti
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33.1 Flora ontheSkin: TheMicrobiome
Normal skin is rich of commensal bacterial ora, viruses, and fungi, collectively called microbiota. It is rich of Gram-positive, Gram-negative, and anaerobic bacteria, viruses, protozoa, and fungal species differently distributed on the skin, depending on the characteristics of the different areas in terms of sebaceous moist/dry composi­tion and different pH.
33.1.1 Bacteria
An individual’s skin microbiota is established intra-partum, with maternal delivery playing a vital role in microbial composition [1] and by the rst contacts with people that handle newborns.
The main phyla detected are Actinobacteria
(corrig. Phyl. Actinomycetota), followed by
G. Papa · G. B. Sidoti (*) Plastic Surgery Unit, University of Trieste, Cattinara Hospital, Trieste, Italy e-mail: giovanni.papa@asugi.sanita.fvg.it
P. Pini Ospedale di Gazzaniga, ASST Bergamo Est, Bergamo, Italy
S. Di Bella Infectious Diseases Department, Clinical Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
Firmicutes (corrig. Phyl. Bacillota), Proteobacteria (corrig. Phyl. Pseudomonadota), and Bacteroidetes (corrig. Phyl. Bacteroidota). Foot-skin microbiota has the least temporal sta­bility and has been classied as a moist niche enriched in Actinobacteria (Corynebacteriaceae) and Firmicutes (Staphylococcaceae) [24].
Dry sites (e.g., volar forearm, hypothenar palm, and buttock), despite demonstrating the greatest microbial diversity and variability overall, contain a greater abundance of β-proteobacteria, Flavobacteriales, and other Gram-negative organ­isms [5].
Recent literature has revealed that the healthy skin microbiome extends into the sub-epidermal compartments with higher proportions of Proteobacteria (Burkholderiales and Pseudomonadales species) and Actinobacteria and a lower abundance of Firmicutes [6].
33.1.2 Fungi
Fungal species often differ by anatomical loca­tion (head, torso, arm, leg, and feet) indepen­dently of moisture or sebaceous content [7]. While cultivation methods in earlier studies have shown that the Malassezia genus is the major component of the skin fungal community, sequencing of 18S rDNA in healthy patients has conrmed that Malassezia organisms (which
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023 M. Maruccia et al. (eds.), Pearls and Pitfalls in Skin Ulcer Management,
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includes some known pathogens) dominate the mycobiome on most skin sites [8, 9].
A survey by Dowd etal. [10] of chronic wound infections using molecular diagnostic reports showed that 23% of the wounds in the study tested positive for fungal species. The most abundant were in the genus Candida, but others included Malassezia, Curvularia, Phoma, Cladosporium, and Trichophyton. Interestingly, there was a nega­tive correlation between Staphylococcus and Candida. Candida was also negatively correlated with other fungi, such as Alternaria, Cochliobolus, and Engyodontium. There were some qualitative differences between species observed between various etiologies of chronic wounds, but statisti­cal signicance was not reported.
33.1.3 Viruses
The virome of normal skin has been demonstrated to have high interpersonal diversity, with some of the most commonly observed strains including Papillomaviridae, Polyomaviridae, and Herpesviridae, with differences between different parts of the body [11, 12]. There are also lots of phages, bacterial viruses [13]. The virome is still a challenge, that is why scientists talk about “Viral Dark Matter” dened as metagenomic sequences originating from viral genomes that have not been aligned with their host microbes [14].
33.2 Bacteria inAcute
andChronic Wounds
33.2.1 Acute Wounds
The bacterial composition and diversity of wounds became increasingly similar to the microbiota of adjacent healthy skin, with the rel­ative abundance of Staphylococcus increasing and Pseudomonas decreasing in the wound com­pared with adjacent skin. Interestingly, at any time point, Gram-positive organisms were more abundant than Gram-negative [32].
Burn wounds in these patients revealed an increased abundance of thermophile microbes such as Aeribacillus, Caldalkalibacilus, and
Nesterenkonia and decreased abundance of Corynebacterium, both in the wound center and the skin margin. Indeed, topical antibiotics have largely aided burn wound outcomes by effectively treating Pseudomonas colonization. However, changes in the cutaneous microbiome were also associated with post-burn complications, with Corynebacterium demonstrating a positive corre­lation with burn wound infection, and Staphylococcus and Propionibacterium demon­strating a negative correlation with post-burn infection [33].
wounds is even associated with the mechanism of injury. The most dominant microbes in open frac­ture wounds and adjacent skin include Staphylococcus, Corynebacterium, Streptococcus, Acinetobacter, Anaerococcus, Finegoldia, and Pseudomonas [34].
infection occurring within 30days after a surgical operation or within 1year if an implant is left in place after procedure, and affects either incision or deep tissues at the operation site. In most postop­erative SSIs, the causative pathogens originate from endogenous ora of the patient’s skin, mucous membranes or hollow viscera. The most isolated bacterial pathogens are Staphylococcus aureus, Enterobacteriaceae, Coagulase Negative Staphylococci, Enterococci, and Pseudomonas aeruginosa.
the surgical procedure involved, recent reports have documented an increasing proportion of Gram-positive organisms and a decreasing number of Gram-negative organisms associ­ated with SSIs. Furthermore, there has been an increase in incidence of SSIs attributed to antimicrobial- resistant pathogenic bacteria like methicillin- resistant S. aureus (MRSA) and vancomycin-resistant S. aureus [35, 36].
33.2.2 Chronic Wounds: Bacteria
Compared with published sequence analyses of bacteria from normal skin, chronic wounds have more anaerobes, Gram-negative rods, and Gram-
The microbial composition of open fracture
Surgical site infection (SSI) is dened as an
Although the isolated pathogens depend on
andCharacteristics
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positive cocci, with less commensals such as Propionibacterium [15, 18, 19].
Polymicrobial biolms, which foster patho­genic microbial growth and disrupt the coordi­nated events of wound healing, are highly abundant in chronic wounds and play a vital role in the pathogenesis of impaired cutaneous healing [21]. Biolms provide continuous stimulation to the innate immune system, which ultimately delays progression to the proliferative phase of wound healing [17, 22].
In a large clinical observation study of 2963 patients with wound samples from 910 DFUs, 916 VLUs, 767 DUs, and 370 non-healing surgi­cal wounds, Wolcott etal. [23] demonstrated that Staphylococcus was the most frequently encoun­tered genera. S. aureus and S. epidermidis were identied as the most abundant species in chronic wounds. Moreover, although bacterial diversity was independent of chronic wound type, Pseudomonas aeruginosa exhibited a higher rela­tive abundance overall in chronic wounds dem­onstrating biolm formation [16].
Facultative anaerobes are overrepresented in the microbiome of non-healing wounds. In contrast, healed wounds appeared to be enriched with anaerobes. The presence of pathogenic facultative anaerobes may render the wound refractory to oxygen therapies, sug­gesting that oxygen therapies should be tar­geted against wounds with low levels of facultative anaerobes [24].
The presence of anaerobes was related to ulcer depth [25] and to poor prognosis [26] Bacteria settle and are inuenced by nutrient availability compounds such as dioxygen (anoxic at the wound center or within the bio­lm and hypoxic at the edge [2731]). In addi­tion, glycemic control and the duration of diabetes affected the dominance and diversity of the microbiota. Lower levels of HbA1c and recent diabetes were associated with higher diversity of this microbiota, whereas the high HbA1c level and a long lifetime with diabetes increased the predominance of some genera in the wound’s microbiota [20]. Interaction between aerobic and anaerobic bacteria worsen tissue infections.
33.3 Molecular Aspects: Interactions Between Bacteria andTheir Inuence onWound Healing
Mechanistic insight into the relationship of the altered microbiome and cutaneous inammation has been aided by preclinical studies, including animal models and invitro systems. Although the ideal cutaneous wound model has not yet been established, all these model systems may provide valuable mechanistic insight and act as screening tools for modulation of the human skin microbi­ome [22].
Skin commensals inuence a variety of cell sig­naling and homeostatic processes including kerati­nocyte proliferation, epithelial differentiation, and epidermal blood vessel growth. While elevations of microbial bioburden often result in infection, high diversity of skin commensals, as seen in healthy microbial colonization, are also involved in both the benign induction of the immune system and the attenuation of the immune response. For example, skin CD8+ T cells specically elicited by S. epidermidis promote rapid keratinocyte pro­gression via upregulation of toll-like receptors (TLR) and downstream modulation of TNF-α [39,
40]. In addition, S. epidermidis’ production of
lipoteichoic acid decreases cutaneous inamma­tion via TLR2 signaling [41]. The ability of S. epi­dermidis to modulate the innate immune response in non-infectious skin wounds coincides with its ability to accelerate wound healing in various skin model and highlights the ability for bacterial prod­ucts to reduce cutaneous inammation.
S. aureus biolm increased the release of tumor necrosis factor α (TNF-α) and decreased the release of interleukin (IL)-6, matrix metallo­proteinase (MMP-3) and VEGF from human der­mal broblasts. Biolms have a detrimental effect on human dermal broblasts migration and ultimately result in cellular apoptosis [37].
Murine wound models have reinforced our understanding that S. aureus and S. epidermidis biolms delay wound re-epithelization in unin­fected wounds, and this process has been shown to be inuenced by quorum sensing. For exam­ple, Schierle et al. demonstrated that when
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exposed to quorum sensing inhibitors (RNAIII inhibiting peptide), the cutaneous integrity of these murine wounds was restored, abolishing biolm formation and obliterating bacterial bio­burden. Quorum sensing inhibitors represent a broad range of enzymes and compounds that are produced both naturally and synthetically [38].
Both S. epidermidis and the typically low­abundant S. aureus [42] induce expression of AMPs (antimicrobial peptides) in human kerati­nocytes, ultimately beneting skin by providing host protection from invasion of other pathogenic microorganisms [43, 44].
Although S. aureus is a (normal) commensal of human skin ora in 20–40% of population (albeit rare), overabundance of this microbe is associated with high rates of skin infection especially with production of superantigens (SAg) that have vary­ing effects at the local and systemic levels. While exceptionally deleterious in high systemic concen­trations, in small amounts, SAg production by S. aureus decreases local downstream production of interleukins like IL-17 and subsequent neutro-
philic chemotactic factors in cutaneous tissue, resulting in decreased purulence of skin wounds and decreased skin inammation compared to non-SAg producing strains [45, 46].
In addition, Secor etal. demonstrated that S. aureus biolms resulted in signicantly elevated keratinocyte cytokines, such as IL-1B, IL-6, che­mokine ligand (CXCL)-8, CXCL-1, and TNF-α, demonstrating the potentially destructive effect these microbial products have on cutaneous inammation [47].
The impact of Pseudomonas colonization on host epithelial tissue, once again highlights the diverse responses in integumentary cell signaling initiated by differing microbe levels. The various effects of skin microbiota on cell signaling path­ways suggest that small amounts of these poten­tially pathogenic microbes may in some cases aid rather than harm host cutaneous tissue regenera­tion [22].
Table 33.1 is a summary of the positive and negative effects of the principal bacteria on wound healing [22]
Table 33.1 Effects of bacteria on wound healing
Bacteria Positive effects Negative effects Staphylococcus
epidermidis
Staphylococcus aureus
Streptococcus group A
Pseudomonas aeruginosa
Stimulates keratinocyte production of host AMPs Induces CD8+ T and IL-17A+ T cells Enhances innate barrier immunity and limits pathogen invasion in absence of inammation
At a local level, supoer antigen production results in less skin inammation and purulence due to decreased production of exotoxins and neutrophilic chemotactic factors Amplies innate immune response of skin via production of AMPs (hBD-3, bHD2, LL-37, RNAse7)
Stimulates production of AMPs, promote epithelial differentiation Activates plasminogen which promotes ketatinocytes chemotaxis and potential re-epithelization
Accelerates epithelialization and neovascularization in acute wounds Suppresses staphylococcal pathogens in polymicrobial wounds
Occasionally pathogenic Implicated in production of biolm
Usually pathogenic Implicated in production of biolms and delayed wound healing in chronic wounds Superantigen production elicits robust activation of immune system
Usually pathogenic Express proteases which prevent neutrophil recruitment Produces hyaluronidase
Usually pathogenic Implicated in production of biolms and delayed wound healing
Associated signaling pathways
NF-kB, TRAF1, TLR2/ CD36/CD14-p38, MAPK, EGFR, TRAP
TRAP, ERK, NF/kB, TLR-2, phosphatidylinositol 3-kinase/AKT
NF/kB
Nod2 TAK1/MKK/p38
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33.4 Biolm: Denition, Diagnosis, andImplications onTherapy
A prevalence study conrmed almost 80% of chronic wounds contained biolms, leading the authors to conclude that biolms are ubiquitous in a chronic wound [48].
Theoretical constructs of wound biolm to date have primarily focused on extrapolating that is known from invitro studies of biolms to the chronic wound clinical environment. It is also extremely important to acknowledge the differences between a laboratory microenviron­ment in which an invitro biolm is grown and studied, and the environment of an acute or chronic wound (in vivo) that experiences bio­lm [49].
Research has established that, in the in vivo setting, an infectious microenvironment devel­ops, with low oxygen (hypoxic conditions), pH changes, and slow-growing microbial cells [50]. As described in the literature, in vitro biolms are initiated by planktonic microorganisms and follow a dened developmental cycle. The invitro hallmark of biolms is the presence of a self-produced matrix of extracellular material composed of polysaccharides, proteins, extracel­lular DNA and supporting cross-linking metal ions such as calcium, magnesium, and iron. However, this knowledge may not directly trans­late to biolm behaviour within a wound. How biolms develop in chronic and acute wounds is still unknown. Wound biolms can be embedded in slough, debris, necrotic, and other tissues, and the wound dressing itself [49].
Apart from being present both in aggregates and as single cells, microorganisms are present on both the wound surface and embedded beneath the surface of the wound bed within the extracel­lular matrix [51].
Bjarnsholt etal. [52] conducted a systematic review of the size of the biolm aggregates in clinical biolm infections. The dimension of the biolm in chronic wounds ranged from 5 to 200μm.
The article by Bjarnsholt etal. [53] found sim­ilarities between the etiology of the chronic lung infection of cystic brosis patients and chronic wounds with respect to biolm formation and accumulation of polymorphonuclear leukocytes (PMN) around the bacterial biolms. There were also indications that the PMNs exhibited impaired antimicrobial function in the vicinity of the bio­lms. It was proposed that this lack of efcacy was due to PMN killing by secreted virulence factors, such as rhamnolipid produced by Pseudomonas aeruginosa [54].
Current science has demonstrated that bio­lms cannot be observed by the naked eye in bio­logical systems such as a chronic wound without the assistance of diagnostic techniques [55].
Currently, there is no gold standard for wound sampling to identify biolm or the presence of microorganisms. If a wound is hard-to-heal and is not responding to standard protocols of care (e.g., antimicrobial intervention), it should be assumed that tolerant microorganisms, within a biolm, are present. In the absence of laboratory­conrmed diagnosis, the best practice suggests that presence of biolm be presumed in wounds displaying signs and symptoms of chronic inammation [49].
Criteria that are indicative of possible wound biolm that have been established through expert consensus are [56, 57]:
• Failure of appropriate antibiotic treatment.
• Recalcitrance to appropriate antimicrobial
treatment.
• Recurrence of delayed healing on cessation of
antibiotic treatment.
• Delayed healing despite optimal wound man-
agement and health support.
• Increased exudate/moisture.
• Low-level chronic inammation.
• Low-level erythema.
• Poor granulation/friable hypergranulation.
• Secondary signs of infection.
Biolms have increased tolerance to antimi­crobial treatments. There is a growing body of
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evidence and agreement amongst wound
33.5 Wound Infection
clinicians and scientists that debridement repre­sents a necessary process in reducing the pres­ence of a biolm within a wound [49].
Most bacterial cells present in outer layers of the biolm frequently meet antibiotics and are more susceptible to various antibiotics. These exposed cells in the biolm quickly die on expo­sure to antibiotics. However, it is believed that the persistent cells in the biolm are found to be resis­tant to the entire removal of biolm- producing bacteria. These wild-type persistent cells remain in a dormant state in the presence of antibiotics and usually tolerate them [58]. Roberts and Steward found about 0.1–10% persistent cells in a biolm [59]. Furthermore, Lewis described that when antibiotic treatment is stopped, the persistent cells become metabolically active to restart the forma­tion of biolm [60].
Wound risk factors Acute wounds
• Contaminated or dirty wounds
• Traumatic injuries
• Operation is classied as contaminated or dirty
• Inappropriate hair removal
• Operative factors (e.g., prolonged surgery, blood transfusion or hypothermia)
Environmental risk factors
• Unhygienic environment (e.g., dust, unclean surfaces, or presence of mould/mildew)
• Hospitalisation (due to increased risk of exposure to antibiotic resistant microorganisms)
• Inadequate hand hygiene and aseptic technique
• Inadequate management of moisture (e.g., due to exudate, incontinence or perspiration)
Individual (host) risk factors
• Poorly controlled diabetes (i.e., hyperglycaemia)
• Peripheral neuropathy (sensory, motor and autonomic)
• Neuroarthropathy
• Radiation therapy or chemotherapy
• Conditions associated with hypoxia and/or poor tissue perfusion (e.g., anaemia, cardiac disease, respiratory disease, peripheral arterial disease, renal impairment or rheumatoid arthritis)
• Immune system disorders (e.g., acquired immune deciency syndrome)
• Connective tissue disorders (e.g., Ehlers-Danlos syndrome)
• Corticosteroid use
• Malnutrition or obesity
• Alcohol, smoking or illicit drug use
• Poor compliance with treatment plan
Chronic wounds
• Duration of wound
• Large wounds
• Anatomically located near a site of potential contamination
• Foreign body presence (e.g., drains, sutures or wound dressing
• Haematoma
• Necrotic or sloughy wound tissue
• Impaired tissue perfusion
• Increased exudate and oedema that is not adequately managed
• Wounds over bony prominences or probing to bone
• Involvement of tissue deeper than skin and subcutaneous tissues
The primary determinants of the pathological process through which presence of bacteria and other microorganisms results in wound infection are the immune system, the number and the spe­cies of microorganism, the combination of the ora [49]. Some microorganisms appear to syn­ergistically overwhelm the individual’s immune system more rapidly, through either collaborative or competitive processes [61, 62].
The symbiotic relationship between the host and the colonizing microorganism becomes pathogenic when the host’s immune system becomes compromised by the virulence of organ­isms present within a wound, [63] and wound infection occurs [64].
The following chart explain the risk factors for wound infection.
(e.g., perineum or sacrum) acute and chronic wounds
fragments)
(e.g., tendon, muscle, joint or bone)