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34 Classication ofWound Infections
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[68]. The diagnosis of infected PUs is often chal­lenging. As for vascular ulcers, classical signs of infection (high temperature, erythema, tender­ness, purulent discharge, and foul odor) may not be present, and sometimes delayed wound heal­ing is the only sign of infection [69].
34.3 Classication Systems
Given the wide variety in terms of clinical pre­sentation and disease severity of both acute and chronic infected wounds, accurate classication and scoring systems are of paramount impor­tance to guide appropriate management. In this sense, a correct assessment of wounds is necessary to guide the physician to identify the infection and to decide the most adequate man­agement, the setting (outpatient versus hospital­ization), the need for invasive treatments (e.g., surgery or limb amputation), the route of admin­istration of antibiotics, the type of antimicrobial therapy, and the need for non-antimicrobial treat­ments (e.g., hyperbaric oxygen). Furthermore, classication systems allow effective comparison of the outcome among different physicians and different centers, as to assist the treatment strate­gies and research activity. Although there are sev­eral studies focusing on assessment, diagnosis, and classication of skin and soft tissue infec­tions, most of these tools does not specically focus on infected ulcers.
34.3.1 Available Skin andSoft Tissue Infection Classication Systems
The traditional denitions of skin and soft tissue infection aim to group all the infectious process involving the skin, subcutaneous tissue, fascia, or muscle [70]. In 1998, the FDA proposed the rst categorization of skin and soft tissue infections into “uncomplicated” and “complicated”, whereby the rst referred to localized supercial infections (such as cellulitis, simple abscesses, impetigo, and furuncles), and the latter referred to more severe infections involving deep layers
(such as infected ulcers, infected burns, major abscesses, infections affecting immunocompro­mised patients or those presenting with signs of systemic sepsis, and/or requiring a major surgical intervention). The differentiation of uncompli­cated and complicated infections was mainly aimed to address the need for inpatient manage­ment, surgical or other invasive procedures. Of note, these guidelines did not specically addressed infected wounds resulting from animal or human bites, necrotizing fasciitis, diabetic foot infection, and decubitus ulcer infection [71].
Eron etal. classied skin and soft tissue infec­tions into four classes according to the severity of clinical presentation and the existence of comor­bidities [72]. Class 1 patients have no systemic signs or symptoms of infections, and no uncon­trolled comorbidities. In class 2, patients were systemically ill (e.g., febrile), but with any uncontrolled comorbidity. Class 1 and 2 patients are generally managed with oral antibiotics as outpatients. Class 3 and class 4 patients are those with systemic signs and symptoms of infection (class 3) and sepsis (4), or those who are non­systemically ill, but with unstable comorbidities that may interfere with their outcome. Class 3 and 4 patients usually require hospitalization, and sometimes surgical treatment as well [72]. Eron’s classication was uniquely inclusive of every kind of infection. However, no distinction between various types of ulcers was made.
Di Nubile and Lipsky attempted another, more complete, classication system, based on ana­tomic, pathogenic, and epidemiologic aspects of skin infections, distinguishing them into compli­cated and uncomplicated. The complicated ones involved wounds, which were further categorized in acute wound infections (traumatic, bite­related, and post-surgical), and chronic wound infections (diabetic foot infections, venous stasis ulcers, and pressure wounds) [73].
Since 2013, the US Food and Drug Administration (FDA) has introduced the new concept of “Acute Bacterial Skin and Skin Structure Infections (ABSSSI)” that dene the acute bacterial skin and soft tissue infections as a lesion area of at least 75cm2 assessed by manual determination (ruler technique) or by digital pla-
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nimetry [74]. According to this novel denition, the diagnosis of ABSSSI is generally based according to clinical judgment and physical eval­uation. Almost every type of skin infection was contemplated, e.g., cellulitis/erysipelas, wound infections, and major cutaneous abscess. The denition of infected wound according to the US FDA was based on the presence of purulent drainage from a wound with surrounding signs of inammation [74]. The main purpose of this sys­tem was to make the denition of skin and soft tissue infections more homogeneous in clinical trials.
In 2014, the Infectious Diseases Society of America (IDSA) proposed a new classication for skin and soft tissue infection based on many clinical variables, including purulent and non­purulent discharge, severity (mild, moderate, and severe), and tissue necrosis (necrotizing versus non-necrotizing). The IDSA classication entailed 10 different types of infection, including necrotizing infection, cellulitis, simple abscesses, impetigo, furuncles, infected ulcers, infected burns, and major abscesses [70]. In 2018, the WSES/SIS-E consensus conference updated its own classication of skin and soft tissue infec­tions, identifying three main groups: surgical site infections (SSIs), non-necrotizing, and necrotiz­ing infections [75]. However, no mention to infections related to acute or chronic ulcers is present in the WSES/SIS-E classication. Alternative classication systems classied skin infections according to the severity of local and systemic signs and the patients’ comorbidities [72], the anatomical tissue layers involved (super­cial and deep infections), the anatomic location, the rate of progression, and clinical presentation or severity [76, 77].
34.3.2 Clinically Useful
Classications forInfected Wounds
Although skin and soft tissue infections and infected wounds share many etiologic and thera­peutic characteristics, none of the above classi­cation systems specically performs for wound
infections. At the time of the present chapter, vas­cular, pressure, and traumatic ulcers lack of spe­cic classication systems when infected, whereas several classications of diabetic foot infections have been proposed. Each of these classication systems work as a tool for risk stratication and assessment and guide the clini­cian to the choice of the most appropriate man­agement. To the best of our knowledge, there is no consensus on which system should be used in general practice.
The International Working Group on the Diabetic Foot (IWGDF) proposed a system for classifying DFU and DFIs which evaluates (1) perfusion, (2) extent (size), (3) depth (tissue loss), (4) infection, and (5) sensation (neuropa­thy) (PEDIS). Of note, the PEDIS system always requires Doppler evaluation of the limb, to cor­rectly dene the perfusion of the wound. The Infectious Diseases Society of America (IDSA) categorizes DFU in mildly infected, moderately, and severely infected on the basis of clinical pre­sentation [42] (Table34.1).
Both these tools offer the advantage of con­temporary dening the infection and grading the severity of the wound. In addition, both identify DFU as clinically infected or uninfected, and fur­ther classify those infected according to their severity. Of note, only IDSA classication has been prospectively validated as a prediction score for hospitalization and for limb amputation [10,
78].
The Meggitt-Wagner (MW) and the University of Texas Diabetic foot classication system (UT) have been the most widely used tools to catego­rize DFUs during the last decades. The MW score grades depth, infection, and gangrene through a numeric scale from 0 to 5 (Table34.1). Grading is applied by mean of direct clinical evaluation of tissue changes, except for osteomy­elitis, which is diagnosed through radiographs. The UT classication categorizes the depth of the ulcer from 0 through 3 (pre- or post-ulcerative to osteitis/osteomyelitis). Each grade is further staged in four steps which evaluate the presence of infection or ischemia [79]. Before UT applica­tion, the Doppler assessment of the limb is required, as to categorize the level of ischemia in
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Table 34.1
Tool Wound type Items Considerations IWGDF (PEDIS)/
IDSA [102]
Meggitt-Wagner (MW) and the University of Texas Diabetic foot classication system (UT) [79]
Bate-Jensen wound assessment tool [83]
S(AD)/SAD­SINBAD [84]
DFI Wound Score [86]
Cutting and Harding criteria [89]
Clinically useful tools for infected wound classication
DFUs
DFUs
Pressure ulcers, DFUs, and venous leg ulcers
Foot ulcers
DFUs
Post-operative ulcers healing by second intention
• Perfusion, extent (size), depth (tissue loss), infection, sensation (neuropathy) (PEDIS)
• Extent of signs of local of systemic inammation (IDSA)
• Depth, infection and gangrene (MW)
• Depth of the ulcer (grade 0, 1, 2,
3), and
• Presence of infection (stage B), ischaemia (stage C) or both (stage D) (UT) [104]
• 13 items assessing wound status and tracking wound healing (size, depth, edges, undermining, necrotic tissue type and amount, granulation and epithelialization tissue, exudate type and amount of exudate, skin colour, oedema, and induration). Each item is scored from 1 to 5
• Size (area, depth), sepsis (infection), Arteriopathy, and denervation (S(AD)/SAD)
• Site, ischemia, neuropathy, bacterial infection, and depth (SINBAD), graded as either 0 or 1 point
• 10-item score: Purulent discharge, non-purulent discharge, erythema, induration, tenderness, pain, warmth, size, depth, undermining
• 8-item score: Erythema, induration, tenderness, pain, warmth, size, depth, undermining
• Presence of abscess, cellulitis,
discharge, delayed healing, discoloration, easily bleeding granulation tissue, pain, pocketing/ bridging at the base of the wound, abnormal smell, wound breakdown
• Evaluates the presence of infection and identies four grades of severity
• Requires clinical examination and standard blood and imaging tests
• Valid to predict the
prognosis of the infected wound, the need for and duration of hospitalization, the likelihood of complications and the need for limb amputation [10, 102, 103]
• Evoluted in COCLASSTI scheme
• Does not allow for specic identication of peripheral arterial disease, neuropathy or infection
• Arteriopathy and infection
are not differentiated for supercial lesions [103]
• UT tool predicts the amputation risk
• Originally developed for assessment of pressure sores; however, reliability and validity were demonstrated for other types of chronic ulcers [105]
• Useful to evaluate wound healing over time
• Simple and quick to use, requires clinical examination alone
• Has been validated for both ulcer healing and amputation prediction
• Specically designed
with research purpose
• Linearly correlates with
the severity of DFI and the clinical response
• Difcult to apply in
clinical practice
• The rst developed
criteria-tool for diagnosis of wound infection.
(continued)
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Table 34.1
Tool Wound type Items Considerations Clinical Signs and
Symptoms Checklist [88]
Cutting and White’s revised criteria [89]
Infection management (IM) pathway
IWII Wound Infection Continuum [94]
World Union of Wound Healing Societies criteria [1]
Wound, ischemia, foot infection classication (WIFi) [95]
NERDS and STONEES [96]
(continued)
A variety of ulcers (vascular insufciency, trauma, neuropathy, pressure, surgical incision, and DFUs)
DFUs, pressure ulcers, arterial and venous ulcers
Arterial ulcers, venous leg ulcers, pressure ulcers, DFU and surgical wounds
Every type of wound
Every type of wound
DFU and vascular ulcers
Chronic wounds of every origin
• 12 clinical signs and symptoms of chronic wound infection, including 5 classic signs/symptoms of wound infection and 7 secondary signs and symptoms (e.g., the existence of pain, signs of local inammation, presence of exudate, delayed healing, granulation tissue, wound base, wound breakdown and odour)
• Signs and symptoms of infection: Cellulitis, pain, delayed healing, malodour, and wound breakdown
• ABCDE approach (assess patient, wellbeing and wound, bring in a multi-disciplinary team and informal carers to promote holistic patient assessment, control and treat the underlying causes and barriers to wound healing, decide appropriate treatment, evaluate and reassess the treatment and wound management outcomes)
• Classical clinical signs/symptoms to describe various stages of wound, from colonization to infection
• 7 clinical indicators of infection: New pain/increasing pain or altered pain in the ulcer area, malodour, increase in ulcer area, wound breakdown, delayed healing, erythema, and increase inlocal temperature
• A combination of scores for wound (depth of ulcer or extent of gangrene), ischaemia (ankle pressure, toe pressure or TcPO2) and foot infection (IWGDF/IDSA criteria)
• Symptoms of supercial (NERDS­non-healing wound, exudative wound, red and bleeding wound, debris in the wound, smell from the wound) and deep (STONEES- size increasing, temperature, probes to bone, new breakdown, oedema/ erythema, exudate, and smell) infection
• May predict the infection of the wound with more accuracy than others
• Increasing pain and wound breakdown are sufcient to predict infection with 100% specicity, but none of the evaluated clinical signs is necessary in identifying infection [88]
• Lacks of information on the number of signs required to conrm infection [89]
• Does not allow a severity scoring
• Pus or abscess are not considered
• Standardises the assessment and diagnosis wound infection
• Provides a treatment plan based on which signs/ symptoms
• Clinical signs/symptoms are indicators of different wound infection stages
• Useful as a teaching tool
• No differentiation between different types of chronic wounds
• No signicant association between clinical signs of infection and microbiological cultures [6]
• Provides a one-year risk for amputation and one-year benet for revascularisation (stratied as very low, low, moderate or high) [106]
• Requires the use of specialist measurement of foot perfusion indices
• Assess levels of bacterial
damage in chronic wounds
• Low sensitivity (0.69) and moderate specicity (0.8) [96]
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Table 34.1
Tool Wound type Items Considerations Therapeutic index
for local infections score [97]
the ulcer. Real-life validations of the MW-UT classication have been performed. The UT sys­tem has demonstrated to signicantly predict the amputation and to be superior to the Wagner sys­tem in the prediction of the probability of wound healing [8082]. Despite the suitability in every­day practice, the MW and the UT classications have strong limitations. Neuropathy is not con­sidered and infections are not differentiated for supercial lesions. Furthermore, neither MW or UT account for severity of ischemia nor distin­guish gangrene due to infection versus arteriopathy.
(BTAW) is a holistic approach based on clinical examination of the wounds (Table 34.1). It records 13 items that assess visual characteristics of the wounds, including size, depth, edges, undermining, necrotic, granulation and epitheli­alization tissue, exudate type and amount of exu­date, colour, oedema, and induration [83].To date, very few studies have been conducted to assess clinical utility of the BWAT.Moreover, no evidence of its usefulness in wound infection assessment exists.
Antonio group as an attempt to categorize foot ulcers based on their size (area and depth), pres­ence of sepsis (infection), arteriopathy, and denervation (each variable is scored from 0 to 4). This scoring system differs from the others with respect to the inclusion of neuropathy variable (Table34.1).
(continued)
Acute and hard-to heal wounds
DFUs diabetic foot ulcers
• 6 non-specic clinical criteria (indirect indicators) for the diagnosis of infected wounds (e.g., erythema to surrounding skin, heat, oedema, induration or swelling, pain or pressure, stalled wound healing, smell of exudate) and 3 additional criteria strictly related to infection (microbiological isolate, surgical septic wound, presence of pus)
The Bate-Jensen wound assessment tool
The S(AD)/SAD system was proposed by San
• Concordant with the expert assessment of the wounds with almost 5 out 6 indirect criteria.
In 2008, a comparative analysis between the MW, the UT, and the (S(AD)SAD) systems was conducted. The authors showed that all these sys­tems predicted ulcer outcome. Of note, the pres­ence or the absence of infection was the most relevant factor considered by S(AD)SAD classi­cation, as it directly relates to the prognosis. On the contrary, the presence or absence of arteriop­athy or neuropathy did not correlate with the healing times and prognosis [84].
The SINBAD (Site, Ischemia, Neuropathy, Bacterial Infection, and Depth) classication is a revised version of the S(AD)SAD score. The main difference stays in the inclusion of site of ulcer (forefoot vs hindfoot) [85].
The DFI wound score was specically designed with research purpose, as to measure outcomes of various antimicrobial treatments for DFIs. It assesses the presence/absence of signs of local inammation, the wound size, and depth. The prospective analysis from the SIDESTEP trial found that the DFI wound score linearly cor­related with the severity of DFI and the clinical response. In other terms, patients with higher scores have more severe wounds, and clinical response rates were indirectly proportional to the numeric score [86]. The main limitation of DFI wound score is its usefulness only in clinical tri­als, since it is inapplicable in the daily clinical practice due to its complexity (Table34.1).
In 1994, Cutting and Harding published a list of criteria to identify an infected wound. These were meant to be applied to a variety of post-
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operative ulcers healing by second intention. However, they are not applicable to either trau­matic wounds or chronic non-post-surgical ulcers [87]. Relying on the Cutting and Harding’s diag­nostic criteria, in 2001, Gardner etal. developed the Clinical Signs and Symptoms list (CSSC) (Table34.1). This score and its modied version evaluate 12 clinical signs and symptoms of chronic wound infection, including ve classic signs/symptoms of wound infection and seven secondary signs and symptoms (e.g., the exis­tence of pain, signs of local inammation, pres­ence of exudate, delayed healing, granulation tissue, wound base, wound breakdown, and odor) (Table 34.1) [88]. A small analysis found that some of the parameters of CSSC may predict the infection of the wound with more accuracy than others. In this study, increasing pain, friable gran­ulation tissue, foul odor, and wound breakdown were the most important prediction for develop­ment of wound infection [88]. Of importance, the population of patients included in the study by Gardner et al. included 36 non-arterial chronic wounds mainly derived from vascular insuf­ciency, trauma, neuropathy, pressure, and surgi­cal incision, with only two patients affected by DFUs [88].
In 2013, Cutting and White published a revised version of Cutting and White criteria for diagnosis of infection in different types of chronic wounds, including DFUs, pressure ulcers, arte­rial and venous ulcers [89]. According to this tool, the most reliable signs, and symptoms of infection in all chronic wound types include the presence of cellulitis, pain, delayed healing, mal­odor, and wound breakdown [89]. Uncertainty remains regarding the number of signs and symp­toms required to achieve the diagnosis of wound infection. The revised version of Cutting and White criteria does not include information regarding the severity of the infection.
The Infection Management (IM) Pathway was proposed by a multidisciplinary expert panel based on the European Wound Management Association position document [90], the International Wound Infection Institute panel (Table 34.1) [91], and an international survey aimed to identify health professionals’ chal-
lenges relating to biolm in chronic wounds [92]. Both arterial ulcers, venous leg ulcers, pressure ulcers, diabetic foot ulcers, and surgical wounds were included. Overall, the IM pathway tried to standardize the assessment and the diagnosis of infected wounds and to guide the treatment plan. The pathway is based on an ABCDE approach (Assess patient, wellbeing and wound, Bring in a multi-disciplinary team and informal careers to promote holistic patient assessment, Control and treat the underlying causes and barriers to wound healing, Decide appropriate treatment, Evaluate and reassess the treatment and wound manage­ment outcomes) [93].
The International Wound Infection Institute (WII) regularly publishes a consensus document referred to every type of wounds (Table 34.1). The IWII classication system presents classical clinical signs/symptoms to describe various stages of wound, from colonization to infection, providing a grading of severity of the infection as well [94].
The World Wound Healing Societies (WUWHS) listed ve major clinical criteria to assess infection of chronic wounds (Table34.1). Both acute and chronic wounds were included. Classical signs and symptoms of infection were rated, and if two or more criteria were present, wound infections were suspected [1]. To note that no distinction was provided between different types of wounds as regards clinical presentation. Moreover, no association between clinical signs of infection and microbiological cultures was found [6].
The Wound, ischemia, and foot infection (WI) classication was proposed by the Society for Vascular Surgery as a prediction tool for the risk for amputation (Table34.1) [95]. The WI classication provides a 4-grade scale (from 0 to
3) to provide accurate and early risk stratication for predicting risk of amputation at 1 year. According to the system, the risk of limb amputa­tion has been classied as very low, low, moder­ate, and high risk [95]. Although intuitive and reliable, WIFi is not applicable out of DFU and vascular ulcers settings.
NERDS and STONEES are mnemonics pro­posed by Sibbald etal. to assess levels of bacte-
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rial damage in chronic wounds, by evaluating classic local signs of infection (Table 34.1). Overall, the ulcers characterized by signs identi­ed in NERDS are supercial and require local treatment, while those associated with STONEES should be managed systemically [96]. This score applies to chronic wounds of every origin. However, a cross-sectional study including 112 patients with chronic wounds found that this score was neither sufciently sensible nor spe­cic to rule in or rule out a diagnosis of wound infection [96].
Therapeutic index for local infections (TILI) score was proposed by the German society Initiative Chronische Wunden (ICW) with the aim to facilitate the early identication and decision- making for infected wounds (Table 34.1) [97]. It consists of two step­approach. The rst step evaluates six non-spe­cic clinical criteria (indirect indicators) for the diagnosis of infected wounds (e.g., erythema to surrounding skin, heat, oedema, induration or swelling, pain or pressure, stalled wound heal­ing, and smell of exudate); the second includes three additional criteria strictly related to infec­tion (microbiological isolate, surgical septic wound, presence of pus). In clinical practice, TILI score was tested on 307 patients with leg ulcers of different types. The analysis showed that TILI score was signicantly concordant with the expert assessment of the wounds with almost 5 out 6 indirect criteria [97].
During the last decade, many efforts have been made to promote automated classifica­tions of infection and ischemia of DFU based on artificial intelligence [98101]. Machine learning systems use automatic algorithms that analyses and categorize the images using different parameters (color, image texture, thermography, etc.). Major goals of these tools systems are reducing biases due to human error, reducing costs, reducing time, and limit the personnel needed for patients ‘monitoring. Among the last published analysis, Guley et al’s algorithm in noteworthy [101]. They showed that machine learning methods could properly recognize the presence of ischemia and infection in DFU images. The dataset was
specifically produced by two healthcare spe­cialists in the diabetic foot because of visual evaluation of DFU images. The authors found that the automated method reached 90% in terms of accuracy in ischemia classification and 73% in infection classification. Although current studies relating machine learning to manage DFUs are promising, there is still lack of validation of any of these systems. Existing systems are based on small studies and limited datasets; therefore, they do not allow general­izing results to the whole population.
34.4 Conclusions
Among the above-mentioned classication sys­tems, the PEDIS, IDSA/IWGDF, UT, and S(AD) SAD represents the most intuitive and easy to use in everyday practice. We also believe that the IDSA/IWGDF classication is the tool which more accurately predict the prognosis of the infected wound, the need for and duration of hos­pitalization, the likelihood of complications and the need for limb amputation.
We encourage the clinician to conduct a multi- disciplinary clinical evaluation of the wounds. The combination of the available clas­sication tools with other routine clinical assessment by a “wound team” (e.g., infectious disease consultant, diabetologist, orthopedic, surgeon, and nurses) allows an overall evalua­tion of the wound and to appropriately achieve the best management.
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