ISSN: 0973-7510
E-ISSN: 2581-690X
Globally, multidrug-resistant bacteria affects wound infections, both hospital-acquired infections and community-acquired infections. The main isolates cultured from 607 subjects with wound infections were methicillin-resistant Staphylococcus aureus (MRSA), Escherichia coli, Pseudomonas aeruginosa, and Acinetobacter spp. [multidrug resistant (MDR)]. Gram-negative bacteria caused most of the infections (67%) compared with gram-positive bacteria. Diabetic patients tend to have wound infections with mixed causative agents compared with non-diabetic patients.
wounds, skin, diabetic, multidrug, mixed infection
The skin or under skin tissue (wound) infections could be deep-seated soft tissue infections. These types of infections include the infections of the skin layer (subcutaneous tissue) and muscle tissue layers. Other deeper infections known as cellulitis target the multilayer of the skin1.
Multidrug-resistant (MDR) bacteria that cause wound infection cases are considered one of the most dangerous causative agents. The acute burns and wound infections were found to be related to aerobic gram-positive cocci while the chronic wound infections are related to more complex flora. In addition to Pseudomonas aeruginosa, MDR gram-negative bacteria and methicillin-resistant Staphylococcus aureus (MRSA) are the most common isolated infectious agents from complicated infected wounds1-3. Recent studies have shown that 20–50% of diabetic foot infections are due to MRSA4,5.
Antimicrobial resistance in MDR bacteria colonized burn wound infections is a major concern in intensive care or burns units worldwide6. This has resulted in a great threat to efforts against bacterial pathogens7. The aim of this study is to determine the rate of antibiotic-resistant bacterial isolates from wound patients at Islamic hospitals, Amman, Jordan.
Study design
This study was conducted at Islamic hospitals in Amman, Jordan from January 1 to November 11, 2018. In and outpatients from surgery and admitted wards were involved in this study. All the patients who fulfilled the criteria above were consecutively enrolled into the study.
Sampling and processing
Clinical samples from 607 wound infected patients, including wound swabs 331 (54.4%), pus 128 (21.1%), and diabetic foot swabs 148 (24.4%) were aseptically collected using the appropriate sterile containers. The collected samples were transported to the lab with the appropriate transport media and bacterial identification to species level was performed using standard procedures including culture and colony characteristics, Gram reaction, and different biochemical analysis.
Antibiotic sensitivity test
The antibacterial susceptibility testing was performed using the modified Kirby-Bauer method. Discs of the following antimicrobials were used: ceftriaxone (30 µg), ceftizoxime (30 µg), cefoxitin (30 µg), gentamicin (10 µg), amoxicillin/clavulanate (30 µg), cefuroxime (30 µg), nitrofurantoin (100 µg), ceftazidime (30 µg), ciprofloxacin (10 µg), ofloxacin (10 µg), pefloxacin (30 µg), clindamycin (2 µg), ampicillin/sulbactam (10/10 µg), imipenem (10 µg), meropenem(10 µg), ertapenem (10 µg), clarithromycin (10 µg), ampicillin (30 µg), Erythromycin (10 µg), ampicillin/cloxacillin (30 µg), cefixime (5 µg), levofloxacin (10 µg), norfloxacin (10 µg), and metronidazole (5 µg).
Ethics
Ethical approval was obtained from the Health Research Ethics Committee of the Ministry of Health.
Data analysis
Data analysis was performed using Statistical Package for the Social Sciences (SPSS) version 23 (IBM Corp, 2015). Qualitative data were described as proportions or percentages; cross tabulation was used where necessary. Test of significance for differences for quantitative and categorical variables were performed using the t-test and Chi square test, respectively. A p-value of < 0.05 was considered significant.
General characteristics
The total number of patients enrolled in this study was 607; 331 of them were wound infected patients, which forms 54.4% of the total population. Of these, females were 124 (63%) and males were 207 (37%). The patients with diabetic foot ulceration (DFU) were 148, which forms 24.4% of the total population. Among them, 83 (56%) were female patients and 65 (44%) were male patients. The glycemic control for the DFU group was generally poor: 10.5% and more. The pus culture patients were 128, which forms 21.1% of the total population; female patients were 40 (31%) and males were 88 (69%). The overall percentage of females over males is 41/59 (Table 1 & Table 2).
Table (1):
Characteristics of the study population.
A- Gender distributions (males and females) | |||
---|---|---|---|
Type of culture | Male | Female | Total |
Numbers of patients for wound swab | 207 | 124 | 331 |
Percentage of patients for wound swab | 63% | 37% | |
Numbers of patients for diabetic foot swab | 65 | 83 | 148 |
Percentage of patients for diabetic foot swab | 44% | 56% | |
Numbers of patients for pus for culture | 88 | 40 | 128 |
Percentage of patients for pus for culture | 69% | 31% | |
Total number | 360 | 247 | 607 |
Total percentage | 59% | 41% | 100% |
Table (2):
Types of patients and cultures.
Types of test |
Number of tests |
Percentage of total subjects |
---|---|---|
Diabetic foot swab |
148 |
24.4% |
Pus for culture |
128 |
21.1% |
Wound swab |
331 |
54.5% |
Total |
607 |
100.0% |
Out of the 607 total samples, 510 (84.0%) samples showed growth. Among wound samples, growth cultures were observed in 282 samples (85.2%) while the non-growth samples were 49 (14.8%). In the case of diabetic foot ulcers, 130 (87.8%) samples showed growth and only 18 (12.2%) samples did not grow. For the pus samples, 98 (76.6%) showed growth and 30 (23.4%) samples did not. (Table 3-A, Table 3-B, Table 3-C, Table 3-D) and Fig. 3.
Table (3-A):
Growth statistics – Number of growth and non-growth samples of the study population.
Type of sample |
Number of samples |
Percentage of total subjects |
---|---|---|
Number of growth samples |
510 |
84.0% |
Number of non-growth samples |
97 |
16.0% |
Total |
607 |
100.0% |
Table (3-B):
Growth statistics – Number of growth and non-growth wound samples.
Type of sample |
Number of samples |
Percentage of total subjects |
---|---|---|
Number of growth samples |
282 |
85.2% |
Number of non-growth samples |
49 |
14.8% |
Total |
331 |
100.0% |
Table (3-C):
Growth statistics – Number of growth and non-growth diabetic foot ulcer samples.
Type of sample |
Number of samples |
Percentage of total subjects |
---|---|---|
Number of growth samples |
130 |
87.8% |
Number of non-growth samples |
18 |
12.2% |
Total |
148 |
100.0% |
Table (3-D):
Growth statistics – Number of growth and non-growth pus samples.
Type of sample |
Number of samples |
Percentage of total subjects |
---|---|---|
Number of growth samples |
98 |
76.6% |
Number of non-growth samples |
30 |
23.4% |
Total |
128 |
100.0% |
A total of 30 pathogenic organisms were isolated from the cultivated wound samples, one yeast and 29 types of bacteria. MRSA was the most frequent pathogen followed by E. coli, S. aureus, Acinetobacter spp (MDR), K. pneumoniae, Enterobacter spp MDR, and nonhemolytic Streptococcus spp. (Table 4-A.1), Descriptive tables 4-A.1.1 (Appendix 1) and Fig. 4.
Table (4-A.1):
Bacterial profile and patterns of infection for wound infections.
Type of pathogen |
Number of infections |
Percentage |
---|---|---|
S. aureus |
22 |
7.2% |
Acinetobacter spp. (MDR) |
19 |
6.2% |
E. coli |
41 |
13.4% |
E. coli ESBL |
6 |
2.0% |
K. pneumoniae |
17 |
5.6% |
K. pneumoniae ESBL |
3 |
1.0% |
P.aeruginosa |
24 |
7.8% |
P. mirabilis |
11 |
3.6% |
P. mirabilis ESBL |
1 |
0.3% |
M. morganii |
2 |
0.7% |
S. agalactiae (group B) |
3 |
1.0% |
K. oxytoca |
6 |
2.0% |
K. oxytoca ESBL |
1 |
0.3% |
P. vulgaris |
2 |
0.7% |
Candida spp. |
4 |
1.3% |
Pseudomonas spp. |
3 |
1.0% |
Enterobacter spp. |
6 |
2.0% |
Enterobacter spp. ESBL |
1 |
0.3% |
E. cloacae |
1 |
0.3% |
Proteus spp. |
1 |
0.3% |
Coagulase negative Staphylococcus (CoNS) |
4 |
1.3% |
Methicillin-resistant Staphylococcus aureus (MRSA) |
51 |
16.7% |
Enterobacter spp. MDR |
14 |
4.6% |
Nonhemolytic streptococci |
13 |
4.2% |
Alpha hemolytic streptococci |
4 |
1.3% |
K. pneumoniae carbapenem resistant |
2 |
0.7% |
S. pyogenes |
1 |
0.3% |
Serratia marcescens |
1 |
0.3% |
Citrobacter freundii |
1 |
0.3% |
Vancomycin resistant Enterococcus spp. (VRE) |
1 |
0.3% |
No pathogenic bacteria |
40 |
13.1% |
No growth after 48 h |
49 |
|
Total |
306 |
100.0% |
MDR- multidrug resistant; ESBL- extended spectrum β-lactamase
Table (4-A.2):
High drug-resistant isolates of wound infections.
Type of pathogen |
Number of infections |
Percentage |
---|---|---|
Acinetobacter spp (MDR) |
19 |
6.2% |
E. coli ESBL |
6 |
2.0% |
K. pneumoniae ESBL |
3 |
1.0% |
P. mirabilis ESBL |
1 |
0.3% |
K. oxytoca ESBL |
1 |
0.3% |
Enterobacter ESBL spp |
1 |
0.3% |
MRSA |
51 |
16.7% |
Enterobacter spp MDR |
14 |
4.6% |
K. pneumoniae carbapenem resistant |
2 |
0.7% |
VRE |
1 |
0.3% |
Total |
99 |
32.0% |
Table (4-A.3):
Multidrug-resistant isolates of wound culture.
Type of pathogen |
Number of infections |
Percentage |
---|---|---|
Acinetobacter spp(MDR) |
19 |
6.2% |
MRSA |
51 |
16.7% |
Enterobacter spp MDR |
14 |
4.6% |
Total number |
84 |
27.5% |
More than 30% of wound infections were resistant to the antibiotics. The most frequent high resistant isolates in wound infections were; MRSA, Acinetobacter spp. (MDR), Enterobacter spp. MDR, E. coli ESBL, K. pneumoniae ESBL, K. pneumoniae carbapenem-resistant, P. mirabilis ESBL, K. oxytoca ESBL, Enterobacter spp. ESBL, VRE (see Table 4-A.2) and Fig. 5.
Table (4-B.1):
Diabetic foot ulcer infections.
Type of pathogen |
Number of infections |
Percentage |
---|---|---|
S. aureus |
31 |
23.8% |
Acinetobacter spp. (MDR) |
10 |
7.7% |
E. coli |
18 |
13.8% |
K. pneumonia |
10 |
7.7% |
P. aeruginosa |
8 |
6.2% |
P. mirabilis |
7 |
5.4% |
Streptococcus group D (Enterococcus) |
6 |
4.6% |
M. morganii |
5 |
3.8% |
S. agalactiae ( group B) |
3 |
2.3% |
K. oxytoca ESBL |
2 |
1.5% |
P. vulgaris |
2 |
1.5% |
Candida spp. |
2 |
1.5% |
Pseudomonas spp |
2 |
1.5% |
Enterobacter spp |
2 |
1.5% |
Enterobacter spp ESBL |
1 |
0.8% |
CoNS |
1 |
0.8% |
S. viridanse |
1 |
0.8% |
No pathogenic bacteria |
19 |
14.6% |
Total number |
130 |
100.0% |
Table (4-B.2):
High drug-resistant and MDR isolates of foot ulcer infections.
Type of pathogen |
Number of infections |
Percentage |
---|---|---|
MRSA |
21 |
16.2% |
Acinetobacter spp. (MDR) |
10 |
7.7% |
K. pneumoniae ESBL |
4 |
3.1% |
K. pneumonia |
1 |
0.8% |
carbapenemase XDR |
||
P. mirabilis ESBL |
5 |
3.8% |
K. oxytoca ESBL |
2 |
1.5% |
P. vulgaris ESBL |
1 |
0.8% |
Enterobacter spp. ESBL |
1 |
0.8% |
Total number |
53 |
40.8% |
Total number |
98 |
42.3% |
The result shows 27.5% of the infections were MDR infections. MRSA was the most aggressive pathogen among the multidrug-resistant isolates (MDR) for wound cultures, which formed more than 51% of MDR agents, followed by Acinetobacter spp. (MDR), and then by Enterobacter spp MDR (Table4-A.3) and Fig. 6.
Table (4-B.3):
Multidrug-resistant isolates of diabetic foot ulcers.
Type of pathogen |
Number of infections |
Percentage of diabetic foot swab infections |
---|---|---|
MRSA |
21 |
16.2% |
Acinetobacter spp. (MDR) |
10 |
7.7% |
K. pneumonia |
1 |
0.8% |
Enterobacter spp. ESBL |
1 |
0.8% |
Total number |
33 |
25.4% |
In diabetic foot ulcer swabs, 17 pathogens were isolated. One yeast and 16 types of bacteria. S. aureus was the most frequent pathogen followed by E. coli, Acinetobacter spp. (MDR), K. pneumoniae, P. aeruginosa, and P. mirabilis. Enterobacter spp. ESBL, CoNS, and Streptococcus viridans were the less frequent pathogens. Candida spp. were recorded as one of the causes of infection in two cases. Nineteen patients had no pathogenic microbes (Table 4-B.1) and Fig. 7.
Table (4-C.1):
Pathogenic agents of the pus samples.
Type of pathogen |
Number of infections |
Percentage |
---|---|---|
E. coli |
21 |
21.4% |
E. coli carbapenemase XDR |
1 |
1.0% |
E. coli ESBL |
4 |
4.1% |
S. aureus |
14 |
14.3% |
MRSA |
11 |
11.2% |
S. pyogenes |
3 |
3.1% |
Acinetobacter spp. |
1 |
1.0% |
Acinetobacter spp. (MDR) |
2 |
2.0% |
M. morganii |
4 |
4.1% |
K. pneumoniae |
5 |
5.1% |
K. pneumoniae carbapenemase XDR |
1 |
1.0% |
K. oxytoca ESBL |
2 |
2.0% |
S. agalactiae (group B) |
4 |
4.1% |
Nonhemolytic streptococci |
9 |
9.2% |
P. mirabilis |
1 |
1.0% |
Alpha hemolytic streptococci |
1 |
1.0% |
P. aeruginosa |
1 |
1.0% |
VRE |
1 |
1.0% |
No pathogenic bacteria |
12 |
12.2% |
No growth after 48 h |
30 |
|
Total number |
98 |
52.0% |
Table (4-C.2):
High drug-resistant and MDR isolates of the pus samples.
Type of pathogen |
Number of infections |
Percentage |
---|---|---|
Acinetobacter spp. (MDR) |
2 |
2.0% |
E. coli carbapenemase XDR |
1 |
1.0% |
E. coli ESBL |
4 |
4.1% |
MRSA |
11 |
11.2% |
VRE |
1 |
1.0% |
K. oxytoca ESBL |
2 |
2.0% |
K. pneumoniae carbapenemase XDR |
1 |
1.0% |
Total number |
22 |
22.4% |
Table (4-C.3):
Multidrug-resistant isolates of the pus samples.
Type of pathogen |
Number of infections |
Percentage |
---|---|---|
Acinetobacter spp. (MDR) |
3 |
3.1% |
MRSA |
11 |
11.2% |
Total number |
14 |
14.3% |
The most drug-resistant isolates of diabetic foot ulcers were MRSA, followed by Acinetobacter spp. (MDR), P. mirabilis ESBL, K. pneumoniae ESBL, K. oxytoca ESBL, and K. pneumoniae carbapenemase XDR (see Table 4-B.2) and Fig. 8.
A quarter and more of infections in diabetic foot ulcers are caused by multidrug resistant bacteria; MRSA (16.2%) was the most frequent pathogen among these pathogens, followed by Acinetobacter spp. (MDR) (7.7%), K. pneumonia carbapenemase XDR (0.8%), and Enterobacter spp. ESBL (0.8%) (Table 4-B.2) and Fig. 8.
For the pus samples, 19 pathogens were isolated. E. coli (21.4%) was the most frequent pathogen, followed by S. aureus (14.0%), and S. aureus (MDR) (11.0%), nonhemolytic streptococci (9.0%), and then the others; K. pneumoniae, S. agalactiae (group B), M. morganii, E. coli ESBL, S. pyogenes, K. oxytoca ESBL, Acinetobacter spp. (MDR), VRE, P. aeruginosa, P. mirabilis, K. pneumoniae carbapenemase XDR, E. coli carbapenemase XDR, Alpha hemolytic streptococci, and Acinetobacter spp. constitute approximately 30% of the total infections (Table 4-C.1) and Fig. 9.
The most drug-resistant isolates of the pus samples were; MRSA, E. coli ESBL, Acinetobacter spp. (MDR), K. oxytoca ESBL, E. coli carbapenemase XDR, VRE, K. pneumoniae carbapenemase XDR (see Table 4-C.2) & Fig. 10
Only 14.3% of infections in the pus samples were caused by multidrug resistant bacteria; MRSA (11.2%) was the main cause of infections and the second cause was Acinetobacter spp. (MDR) (3.1%) (Table 4-C.3) and Fig. 11.
The result showed that 3.3% of the wounds were mixed infections caused by more than one bacterium; all of the mixed infections were in diabetic patients (Table 5).
Table (5):
Percentage of mixed wound infections.
Number of mixed infections |
Percentage of mixed wound infections |
Note |
---|---|---|
11 |
3.3% |
All were diabetic patients |
Acinetobacter spp. (MDR) and MRSA were the most frequent combination in mixed infections by percent of 27.3% of the total infections of wounds, followed by E. coli and MRSA, E. coli ESBL and P. vulgaris, Enterobacter spp. MDR and P. aeruginosa and S. aureus, P. aeruginosa and Acinetobacter spp. (MDR), S. aureus and nonhemolytic streptococci, Acinetobacter spp. (MDR) and P. mirabilis, K. oxytoca ESBL and MRSA, and MRSA and K. pneumoniae (Table 6) and Fig. 12.
Table (6):
Types of pathogen combinations for the mixed wound infections.
Type of pathogen combinations |
Number of infections |
Percentage |
---|---|---|
Acinetobacter spp. (MDR) + MRSA |
3 |
27.3% |
E. coli + MRSA |
1 |
9.1% |
E. coli ESBL + P. vulgaris |
1 |
9.1% |
Enterobacter spp. MDR + P. aeruginosa + S. aureus |
1 |
9.1% |
P. aeruginosa + Acinetobacter spp. (MDR) |
1 |
9.1% |
S. aureus + Nonhemolytic streptococci |
1 |
9.1% |
Acinetobacter spp. (MDR) + P. mirabilis |
1 |
9.1% |
K. oxytoca ESBL + MRSA |
1 |
9.1% |
MRSA + K. pneumonia |
1 |
9.1% |
Total number |
11 |
100.0% |
Wound infections are becoming an actual burden of lesions globally. Recently, the World Health Organization reported a catalog of antibiotic-resistant “priority pathogens.” In this catalog was a list of 12 families of bacteria that are the greatest threat to human health. At the top of the list was the most important causative pathogen in wound infection MRSA, which is spreading globally and constitutes the cause of approximately 20% of wound infections. The prevalence of antibiotic-resistant strains of S. aureus is increasing at an alarming rate. The highest resistance was recorded against ampicillin and erythromycin (88% each), while resistances against oxacillin, fosfomycin, cefoxitin, and ciprofloxacin were also worrisome8.
In this study, the results showed that MRSA accounted for 16.7% of total wound infections. E. coli is presented in the list of most common causative agents of wounds, and causes approximately 13.4% of wound infections in Jordan; P. aeruginosa accounts for approximately 8% of wound infections in Jordan. Acinetobacter spp. (MDR) is the second multidrug-resistant pathogen accounting for 6.2% of the total infections. The other pathogens form less than 50%; K. pneumoniae, Enterobacter spp. MDR, and nonhemolytic streptococci. The infectious agents were E. coli ESBL, K. pneumoniae ESBL, P. aeruginosa, P. mirabilis, P. mirabilis ESBL, M. morganii, S. agalactiae (group B), K. oxytoca, K. oxytoca ESBL, P. vulgaris, Candida spp. (yeast), Pseudomonas spp., Enterobacter spp., Enterobacter spp. ESBL, Enterobacter cloacae, Proteus spp., CoNS, Alpha hemolytic streptococci, and K. pneumoniae carbenem of infections (Table 4-A.1) and Fig. 4.4,9.
Infection with MDR gram-negative organisms in most cases leads to poorer outcomes in burns, especially in critical cases. These bacteria and the future horror of multidrug-resistance (MDR), the challenge among Jordanian healthcare providers, and the patients suffering from complications demonstrate the actual burden of infections and the progression of the infections cause the causative bacteria to be highly resistant to wound infections. This study showed that approximately 67% of the infections are caused by gram-negative bacteria while approximately 32% are caused by gram-positive bacteria, which is within the global ratios9,10.
The highly significant (p<0.001) MDR results are drawing attention to focusing more on handling and taking care of the management and treatment of wounds in Jordan. The risk of developing high drug-resistant isolates of wound was high, approximately 32% of the total infections. The new types of bacteria, especially E. coli ESBL, K. pneumoniae ESBL, K. pneumoniae carbenem resistant, P. mirabilis ESBL, K. oxytoca ESBL, Enterobacter ESBL spp., and VRE, constituted 8.8% while the actual MDR constituted 23.2% (see Table 4-A.2) and Fig. 510.
The high cost and lack of well-trained multidisciplinary medical personnel, facilities, and standardized management protocols are possible contributory factors. Physicians also have an important role in the prevention, early diagnosis, and management of infections of wounds with multidrug resistant or high resistant microbes for chemotherapies. MDR isolates of foot ulcers were reported though the patients reported that the ulcers resulted from spontaneous blisters or physicians reported the ulcers as wounds. There is a small percentage of overlap between diabetic foot ulcers and diabetic wounds, therefore, there is a possibility that some of the ulcers may have resulted from unnoticed micro-trauma. Inappropriate footwear might lead to spontaneous blisters; this was found to be the second commonest predisposing event for DFU. In addition, fitting of footwears in patients with peripheral neuropathy may result in foot ulcerations in patients with insensate feet. The use of disordered machines or tools and abnormal weight-bearing in peripheral areas of the foot in patients with peripheral neuropathy could make the foot susceptible to ulceration while wearing shoes.
Self-inflicted burns due to thermal injury resulting from the application of hot compresses to numb feet precipitated two cases of DFU. This might cause ulcerations and wounds or burns and should be taken care of in foot ulceration studies11.
Thus, there is a need to ensure that better-focused education and the determination of the best way to handle and take care of ulcer foot cases on appropriate footwear, foot care, and other harmful practices be intensified among these patients.
The bacteriological pattern of diabetic foot ulcers
In the present study, a total of 17 different microorganisms were isolated from the participants, with mixed gram-positive and gram-negative species and the yeast Candida albicans; an average of 1:4 gram-positive aerobic bacteria, 4:1 gram-negative aerobic bacteria, and 1:16 yeast gave an overall average of 0.13% (6.7) organisms per case. This is similar to the findings of a study in the USA, which had a larger sample size12.
The predominance of gram-negative aerobes has also been reported by field workers and previous studies13. These differences could be partly due to changes in the causative organisms occurring over time, and the capability of microbes to develop more resistance to antibiotics. It might also be affected by geographical variations or the types and severity of the infection. The differences in results might be due to the use of a “relatively small number of specimens”, and limited specimen collection techniques, which would fail to exclude superficial or colonizing organisms, poor handling techniques, and poor preservation methods, which might affect the cultivation of anaerobic organisms14,15.
The bacteriological pattern of pus sample isolates
In the present study, a total of 18 different microorganisms were isolated from the participants, most of them (85.7%) were neither multi-resistant nor high resistant bacteria to antibiotics; E. coli (21.4%) was the most frequent pathogen followed by S. aureus (not multi-resistant) (14%), S. aureus (MDR) (11%), nonhemolytic streptococci (9%), and then the others; K. pneumoniae, S. agalactiae (group B), M. morganii, E. coli ESBL, S. pyogenes, K. oxytoca ESBL, Acinetobacter spp. (MDR), VRE, P. aeruginosa, P. mirabilis, K. pneumoniae carbapenemase XDR, E. coli carbapenemase XDR, Alpha hemolytic streptococci, and Acinetobacter spp. constitute approximately 30% of the total infections. This is consistent with the global results with mixed gram-positive and gram-negative species; an average of 1:3 (7/18) gram-positive aerobic bacteria with approximately 44% of the total infections. (Table 4-C.1) and Fig. 9.16.
The multidrug resistant bacteria in pus isolates represented 14.3% of all the infections and the main causative agents were Acinetobacter spp. (MDR), which is prevalent in Jordan as the cause of nosocomial infections. This explains its predominance in pus and chronic infections than MRSA, which is one of the main causes of wound infection worldwide (Table 4-C.3) and Fig. 11.1,2,12,17.
Fifty-four (8.9%) patients from the study were diabetic, 11 (20%) of them had mixed infections with 3.3% being wound infections (Table 5).
Most (27.3%) of the cases of mixed infections were caused by Acinetobacter spp. (MDR) and MRSA, which may be due to hospital-acquired infections and/or the aggressiveness of these bacteria. Mixed infections by more than two microbes were very rare; only one such case was reported in the present study with three mixed causative agents; Enterobacter spp. MDR, P. aeruginosa, and S. aureus. This is an indication of the low chance of multibacterial infections by more than two organisms (Table 6) and Fig. 12.
The global burden from multidrug resistant bacteria affects wound infections, either in hospital-acquired infections or community-acquired infections. The main causative agents of wound infections are MRSA, E. coli, P. aeruginosa, and Acinetobacter spp. (MDR). Gram-negative bacteria caused more than 67% of the infections compared with gram-positive bacteria. Diabetic patients have more predisposition to mixed infections than the non-diabetic patients.
Additional file: Additional Tables.
ACKNOWLEDGMENTS
We would like to thank the entire microbiology department and medical directory in Islamic hospital, Jordan for the collaboration during the recruitment process and provided surveillance data.
CONFLICT OF INTEREST
The authors declare that there is no conflict of interest.
AUTHORS’ CONTRIBUTION
All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.
FUNDING
This work was supported by the Deanship of Research in Zarqa University /Jordan”(Grant number 2000$).
ETHICS STATEMENT
This study was carried out in accordance with the recommendations of WHO ethical comity. The protocol was approved by the MOH Scientific Ethical Comity under the protocol number code#MOH REC150029.
AVAILABILITY OF DATA
All datasets generated or analyzed during this study are included in the manuscript.
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