Diabetic foot ulcers (DFUs) require intensive diagnostic and therapeutic procedures and represent one of the greatest challenges of modern medicine, both in clinical and financial aspects. This is still the most common cause of hospitalization due to complications of diabetes and one of the leading causes of amputation in the lower limbs [17]. Patients with diabetes are particularly susceptible to ulcer infections, not only because of chronic complications in the form of micro- and macroangiopathy (peripheral artery disease, PAD), but also due to hyper-glycemia and related immune disorders [10]. Difficulties in the healing of chronic ulceration may be related to the size and severity of the wound, its blood supply, the presence of necrosis and also due to the persistence of lesions. While some experts consider the total microbial density to be critical in predicting delayed wound healing and infection, others regard the types of microorganisms to be of greater importance. The effect of treatment depends, among other things, on the degree of colonization of the wound and the traits of pathogens present in the wound. It is assumed that the presence of certain bacteria is clinically relevant regardless of the bacterial load, an example of which is S. pyogenes [22]. However, as numerous clinical studies have demonstrated, a measurement of the tissue microbial load in a wound can predict delayed healing or infection [3, 4, 25].
The detection of individual bacteria in the wound is the leading method and it is widely available and used in clinical practice. Rational antibiotic therapy in DFU is based on the results of antimicrobial susceptibility testing. Analysis of the microbiological profile of infected ulcers remains, therefore, one of the basic elements enabling the improvement of treatment results. IDSA guidelines 2012 describe in detail the rules for the correct collection of material for microbiological tests [16].
Over the past 25 years, the bacteriology of DFU has been reported in many studies, but the results have often been contradictory [5] and differed significantly depending on whether they concerned newly diagnosed or chronic ulcers, the effectiveness of previously used antibiotics and the frequency of hospitalization [14].
In this work, based on the analysis of the results of microbiological tests and the information on sex, age of patients, duration and type of diabetes, type of DFU and the percentage of glycated hemoglobin (HbA1c), an attempt was made to determine the profile of pathogens isolated from ulcerations in patients hospitalized in a diabetology ward of a university-affiliated hospital. A comparative analysis was performed with the results of other centers.
A retrospective study was carried out on 137 patients aged from 27 to 82 years, with DFU, hospitalized at the Department of Diabetology and Internal Diseases of the Medical University of Warsaw in 2011–2014. We analyzed the results of 200 cultures obtained from patients, out of which 183 were positive. In some patients, depending on their clinical status, the cultures were collected more than once; however, the repeated isolates in the same patient were excluded from the statistical analysis. The analysed material consisted of ulcer swabs obtained using the Levine method (n = 197), biopsies (n = 2) and a bone fragment (n = 1). Samples for testing were taken by a trained dressing nurse. The material was routinely tested for aerobic, anaerobic and fungal microorganisms. The cultured microorganisms were identified using ATB analyzers (bio-Merieux) and MALDI-TOF MS (Bruker). Susceptibility testing was performed in accordance with the National Reference Center for Microbial Susceptibility Testing recommendations. Patients were divided into two groups: patients hospitalized once (Group 1) and patients hospitalized repeatedly (Group 2). The majority of patients were allocated to the first group (115 vs 22). Among the patients from the second group, four patients were admitted to the hospital three times, three patients were hospitalized four times, and the remaining fifteen patients were hospitalized twice.
The characteristics of patients with DFU, from whom samples were obtained and cultured, are shown in Table 1, while HbA1c values are presented in Table 2.
Characteristics of patients in group 1 and 2
Clinical data | Group 1 (n = 115) | Group 2 (n = 22) | ||
---|---|---|---|---|
n | % | n | % | |
Type 1 diabetes | 13 | 11.3 | 2 | 9.1 |
Type 2 diabetes | 91 | 79.1 | 20 | 90.9 |
Other specific types of diabetes | 9 | 7.8 | 0 | - |
No data on the type of diabetes | 2 | 1.7 | 0 | - |
Male | 87 | 75.7 | 16 | 72.7 |
Female | 28 | 24.3 | 6 | 27.3 |
Neuropathic foot ulcers | 52 | 45.2 | 14 | 63.6 |
Neuro-ischemic foot ulcers | 50 | 43.5 | 7 | 31.8 |
Ischemic foot ulcers | 11 | 9.6 | 1 | 4.5 |
Indeterminate type | 2 | 1.7 | 0 | - |
Obesity | 46 | 40.0 | 14 | 63.6 |
Overweight | 16 | 13.9 | 4 | 18.9 |
Normal weight | 25 | 21.7 | 3 | 13.6 |
Lack of body weight data | 28 | 24.4 | 1 | 4.5 |
Age in years ± SD | 59.7±10.02 | 58.5±9.68 | ||
Duration of diabetes in years ± SD | 17.03±10.36 | 16.9±12.09 |
Percentage of HbA1c values of patients in the group 1 and 2
Hba1c % | <6.0 | 6.0–6.9 | 7.0–7.9 | 8.0–8.9 | 9.0–9.9 | 10.0–10.9 | 11.0–11.9 | >12 |
Group 1 | 7.8% | 34.3% | 23.5% | 20.6% | 7.8% | 2.0% | 2.9% | 1.0% |
Group 2 | 2.1% | 25.0% | 29.2% | 20.8% | 20.8% | 0.0% | 0.0% | 2.1% |
The statistical analysis included calculation of the mean value, standard deviation and expression of the results as percentages.
The discrepancy in the distribution of the collected HbA1c data from normality was assessed using the Shapiro–Wilk W test. The results indicated that the distribution of the variables differed from the normal distribution. Thus, the non-parametric one-way ANOVA (Kruskal-Wallis test by ranks) was used to test whether there are significant differences in the obtained HbA1c depending on the strain of bacteria as a grouping factor. The Kruskal-Wallis test was followed by post-hoc multiple comparisons of mean ranks for each pair of groups to identify groups in which mean ranks of HbA1c were significantly different. The statistical analysis was carried out using Statistica version 10 (StatSoft, Inc., Tulsa, OK, USA). All data are presented in Table 3 as median and interquartile range, and minimum and maximum values. Differences were considered to be statistically significant when p < 0.05.
Median and interquartile range and minimum and maximum values of HBA1c concentration in groups of patients infected with different strains of bacteria
Bacteria | N | Mean ± SD | Median | Min | Max | CV* [%] | SEM** |
---|---|---|---|---|---|---|---|
47 | 7.5 ± 1.1 | 7.4 | 5.2 | 9.7 | 14.9 | 0.2 | |
43 | 7.9 ± 1.4 | 7.7 | 5.7 | 12.3 | 18.1 | 0.2 | |
24 | 7.2 ± 0.9 | 7.3 | 6.1 | 9.0 | 12.4 | 0.2 | |
23 | 7.6 ± 1 | 7.4 | 5.9 | 9.1 | 13.7 | 0.2 | |
19 | 7.4 ± 1.1 | 7.4 | 6.0 | 9.6 | 14.9 | 0.3 | |
15 | 8.1 ± 1.5 | 8.2 | 5.9 | 11.1 | 18.5 | 0.4 | |
12 | 8.8 ± 1.1 | 8.7 | 7.2 | 11.1 | 12.5 | 0.3 |
coefficient of variation
standard error of the mean
In both groups predominated patients with type 2 diabetes (79.1% vs 90.9%). There was a majority of males (75.7% vs 72.7%). The average duration of diabetes at the time of inclusion of patients in the study in both groups was similar. The most common type of diabetic foot syndrome in both groups was the neuropathic type, with a greater predominance in Group 2 (45.22% in Group 1 vs 63.64% in Group 2). Obesity was found in Group 1 in 40.0% of patients; in Group 2 this percentage was higher and amounted to 63.64%. No major differences were found in both groups in metabolic control expressed by the mean value of HbA1c.
The results of cultures, taking into account the number and percentage of microorganisms isolated in cultures of samples taken from patients in both groups, are presented in Table 4. In the majority of cultures in both groups, two or more bacterial species were isolated in culture. The percentage of cultures in which only one pathogen was found was similar in both groups. In Group 1 a higher proportion of negative cultures (11.7%) was found compared to Group 2 (1.6%).
Results of microbiological cultures in terms of the number of microorganisms isolated in the culture in group 1 and 2
Results of cultures (n = 200) | Group 1 (n = 137) | Group 2 (n = 63) |
---|---|---|
no growth | 16 (11.7%) | 1 (1.6%) |
one microorganism | 49 (35.8%) | 21 (33.3%) |
two microorganisms | 33 (24.0%) | 17 (27.0%) |
three microorganisms | 13 (9.5%) | 13 (20.6%) |
more than three microorganisms | 26 (19.0%) | 11 (17.5%) |
Due to the similar characteristics of patients in both groups and a large disproportion in the number of patients between groups, a collective analysis of microbial species isolated in cultures has been performed, as shown in Table 5.
Quantitative and percentage distribution of microbial species isolated from wounds in patients with DFU in both study groups
Microorganism | Number/percent |
---|---|
Aerobic and facultatively anaerobic Gram-negative rods: in total 187/48,44% | |
145/37.56% | |
1. |
41/10.62% |
15/3,89% | |
9 | |
2 | |
1 | |
5 | |
3 | |
5 | |
1 | |
2. |
49/12.69% |
48/12,43% | |
1 | |
3. |
1/0.26% |
1 | |
4. |
54/13.99% |
27 | |
9 | |
1 | |
14 | |
2 | |
1 | |
27/6.99% | |
* including 3 strains resistant to carbapenems, 3 strains resistant to ≥2 antibiotics | |
9/2.33 % | |
7 | |
1 | |
1 | |
Other Gram-negative rods: |
6/1.55% |
Fungi: in total 3/0.78% | |
3/0.78% | |
2 | |
1 | |
Facultatively anaerobic Gram-positive bacteria: in total 113/29,27% | |
46/11.92 % | |
* including 14 (3.63%) MRSA strains Coagulase negative staphylococci | |
11/2.85 % | |
7 | |
2 | |
1 | |
1 | |
34/8.81 % | |
9 | |
β-haemolytic streptococci group C, | 7 |
G and F | 5 |
4 | |
4 | |
2 | |
3 | |
12/3.11% | |
11/2,85% | |
Other Gram-positive bacteria: | 1 |
10/2.59% | |
Anaerobes: in total 83/21.5% | |
21/5.44 % | |
11/2.85 % | |
5 | |
4 | |
1 | |
7 | |
7 | |
7 | |
6 | |
5 | |
4 | |
2 | |
1 |
ESBL – extended-spectrum β-lactamases
MRSA – methicillin-resistant
In both patient populations, isolates of 79 different bacterial species were obtained in all cultures. Gram-negative bacteria predominated among the cultivated microorganisms with the highest percentage of representatives of the order
Table 6 summarizes the relationship between HbA1c values and pathogens most frequently isolated in the study. Isolation of
Percentage distribution of HbA1c values in patients with selected microorganisms isolated in the culture
Microorganism | Hba1c mean value | HBA1c ± SD | HbA1c <8 | HbA1c 8-12,3 | Lack of HbA1c measurements |
---|---|---|---|---|---|
7.2 | 0.9 | 71.4% | 14.3% | 14.3% | |
7.4 | 1.1 | 66.7% | 23.8% | 9.5% | |
7.5 | 1.1 | 62.0% | 32.0% | 6.0% | |
7.7 | 1.0 | 42.9% | 39.3% | 17.8% | |
7.9 | 1.4 | 59.1% | 38.6% | 2.3% | |
8.1 | 1.5 | 43.75% | 50.0% | 6.25% | |
8.8 | 1.1 | 18.75% | 56.25% | 25.0% |
MSSA –methicillin-susceptible
The Kruskal-Wallis test revealed that HbA1c concentrations were different in groups infected with different strains of bacteria (p = 0.0087). Results of the post-hoc analysis demonstrated that significant differences in HbA1c values were between the group with
The majority of acute infections in patients with DFU who have not recently been treated with antimicrobials are caused by aerobic Gram-positive cocci, especially staphylococci [17]. Most chronic infections, or those occurring after antibiotic treatment, are often polymicrobial, with aerobic Gram-negative bacilli joining the aerobic Gram-positive cocci [13] especially in warmer climates [24].
Until the most recent decade, the majority of studies on the microbiology of DFI were conducted in North America and Europe. Investigations in warm climates (especially India, but also the Middle East and Africa) have found the most common isolates to be Gram-negative rods. Thus, clinicians in these regions should consider covering
In our material, both in the patients who were hospitalized once, as well as in those hospitalized several times, the predominance of Gram-negative bacterial species was observed. In the multicenter studies, performed in 2001–2004 in USA, the most often isolated were Gram-positive bacteria, including
Małecki et al. in 102 cultures found 199 different bacterial strains. There was a predominance of Gram-positive bacteria, particularly Staphylococcus aureus, coagulase-negative staphylococci, and Enterococcus faecalis, as well as Gram-negative rods, such as Pseudomonas aeruginosa, Proteus mirabilis, and Escherichia coli [19]. In our study in the cultures obtained from 137 patients, these bacterial strains constituted only 35.4% of all isolated microorganisms. Comparing the results obtained in these two centers performed in one country, the largest differences were noted in the frequency of isolation of
Citron et al. presents the results of multicenter studies carried out in the USA [5]. The authors provided the number of bacterial isolates obtained, depending on the method of material collection (aspiration, swabs, tissues). The results (expressed as percentages) obtained using these three methods were similar in the case of isolation of
Table 7 presents the results of microbiological tests carried out in various countries on materials obtained from patients with DFU, comprising swabs, scrapings, purulent secretion aspirates, and tissue biopsies. It should be emphasized that in the part of the publications there was no information about the method of collecting the material for research. Based on the medical records of the patients examined in our study, it was difficult to determine whether they were previously subjected to chronic antibiotic therapy or not; however, other reports also lack information on this issue, hence the difficulties in interpreting the results.
Microorganisms isolated from clinical samples obtained from patients with DFU in various geographical zones
13.7 | 14.3 | 17.3 | 13.8 | 3.0 | 21.0 | 13.6 | 30.0 | 9.6 | 26.9 | 8.3 | |
4.4 | 11.3 | N/A | 8.0 | N/A | 1.0 | N/A | 1.8 | 3.6 | |||
N/A | 15.5 | 12.6 | 3.0 | 4.0 | 4.7 | 3.0 | 9.0 | 7.2 | 1.7 | 8.8 | |
11.5 | 13.6 | 7.7 | 9.5 | 6.0 | 3.4 | 16.0 | N/A | 4.4 | 12.7 | 3.1 | |
coagulase-negative |
6.6 | 15.2 | 14.9 | 5.0 | 0.5 | N/A | 11.5 | N/A | 1.3 | N/A | 2.8 |
12.0 | 1.7 | N/A | 16.1 | 6.0 | 28.6 | 7.0 | 4.5 | 15.0 | 12 | 3.9 | |
12.6 | 2.1 | N/A | 8.8 | 6.0 | 4.2 | 7.6 | 11.0 | 9.6 | 3.1 | 7.0 | |
9.8 | 3.5 | 6.9 | 16.9 | 17.0 | N/A | 7.5 | 4.5 | 12.4 | 20.9 | 7.0 | |
9.3 | 1.1 | N/A | 3.7 | N/A | 4.2 | 2.0 | N/A | 2.8 | 1 | 2.3 | |
6.6 | 2.2 | N/A | 6.7 | 5.0 | 14.3 | 3.5 | N/A | 3.4 | 9.5 | 2.1 | |
N/A | 1.2 | N/A | N/A | 2.0 | N/A | 2.0 | N/A | 1.6 | 0.3 | 12.4 | |
N/A | N/A | N/A | N/A | 3.0 | N/A | 1.5 | N/A | 4.9 | N/A | 3.6 | |
1.6 | N/A | N/A | N/A | N/A | N/A | 1.5 | N/A | N/A | N/A | 5.4 | |
1.6 | 4.1 | N/A | N/A | N/A | N/A | 1.0 | N/A | N/A | N/A | 1.3 |
MSSA – methicillin-susceptible
MRSA – methicillin-resistant
N/A – „not available”
Crouzet et al., on the basis of 14 studies conducted in 1999–2009, analyzed selected pathogens isolated from 3.119 patients with DFU [6]. Only patients with critical ischemia or persons requiring revascularization were not evaluated. In the majority of studies reviewed by these authors, the most frequently isolated pathogen in people with diabetes and foot infection was
The factor influencing the incidence of individual pathogens and the intensity of their replication may be glycemic control. Gardner et al. showed that at higher HbA1c values there was a high relative abundance of bacteria classified in the genera
According to the results of molecular analyses, the complexity of the bacterial populations present in DFU is much greater than could be expected from research based solely on classical microbiological culture techniques, as they may not differentiate the diverse microorganisms that infect foot wounds [9, 26]. Unfortunately, by using this routine method, it is possible to identify anaerobes only in 25% of the samples tested. This is also confirmed by the results of our research, in which the share of anaerobic microflora was estimated at 21.5% of total number of isolates. By contrast, using the sequencing of bacterial ribosomal RNA 16S, anaerobes are detectable in over 85% of the samples tested [27]. However, traditional methods may be a useful tool for the isolation of easily cultured microorganisms, such as Staphylococcus aureus [7]. A better understanding of the composition of the DFU microbiota is particularly important for the development of new strategies for effective infection control, including the problem of biofilm formation.
The reasons for differences in the frequency of occurrence of pathogens isolated in particular healthcare centers are complex and often difficult to explain. These discrepancies could be partly due to the shift in the causative microorganisms occurring over time, as well as geographical variations, or the types and severity of infections comprised in the studies. Diversity in research design makes comparison of results difficult.
Also, laboratory processing of the samples may have been inadequate to grow anaerobes or fastidious organisms. Lack of larger analyzes of the influence of glycemic control on the presence of individual pathogens hinders the interpretation of the results obtained, and at the same time indicates the need to continue this type of research. Another reason for the discrepancy in the results may be variable prevalence of the clinical forms of the diabetic foot syndrome (neuropathic, ischemic, neuro-ischemic). In this study neuropathic and neuro-ischemic type were predominant. But we have noted infections of mixed etiology, most often with numerous pathogens, in patients with all forms of the disease.
Our research confirms numerous reports indicating differences in bacterial culture results in DFU and points to the need for standardization of the tests performed. The question remains whether this may be due to collection and culture technique only, or are there also significant differences in the presence of pathogens in particular healthcare centers. This research did not receive any specific grant from funding agencies in the public, commercial, or notfor-profit sectors.