Literature DB >> 34795489

Pathogenic Characteristics and Risk Factors for ESKAPE Pathogens Infection in Burn Patients.

Zhaoyinqian Li1, Jingling Xie1, Jiaxin Yang1, Siyi Liu1, Zixuan Ding1, Jingchen Hao1, Yinhuan Ding1, Zhangrui Zeng1, Jinbo Liu1.   

Abstract

OBJECTIVE: This study aimed to determine the clinical manifestations, antimicrobial resistance, molecular characteristics, and risk factors for ESKAPE pathogens infection in burn patients.
METHODS: A retrospective study of 187 burn patients infected with ESKAPE pathogens was conducted at the Department of Plastic and Burn Surgery of the Affiliated Hospital of Southwest Medical University (Luzhou, China) from October 2018 to June 2021. All strains were identified using a MicroScan WalkAway 96 Plus System, and antimicrobial susceptibilities were determined using the VITEK system or the disk diffusion method. The antimicrobial resistance genes of multi-drug resistant ESKAPE (MDR-ESKAPE) were detected by polymerase chain reaction (PCR). The multivariable logistic regression analysis was used to estimate the risk factors for ESKAPE infection and MDR-ESKAPE infection.
RESULTS: A total of 255 strains were isolated in various types of clinical specimens from 187 burn patients, of which 47.5% were ESKAPE pathogens (121/255). Among these, MDR-ESKAPE pathogens accounted for 55% (67/121). Additionally, aph3'III, mecA, bla SHV, bla TEM, bla PDC, and bla SHV were the most prevalent genes detected in Enterococcus faecalis, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp., respectively. The independent risk factors for ESKAPE infection were total body surface area (TBSA) >30-50% (odds ratio [OR] = 10.428; 95% confidence interval [CI], 2.047 to 53.108), TBSA >50% (OR = 15.534; 95% CI, 1.489 to 162.021), and parenteral nutrition (OR = 3.597; 95% CI, 1.098 to 11.787). No independent risk factors were found for MDR-ESKAPE infection.
CONCLUSION: Clinical staff should be alert to the risk of nosocomial infection with ESKAPE pathogens in burn patients receiving parenteral nutrition and under TBSA >30%. Full attention should also be paid to the ESKAPE resistance, strict adherence to infection control protocols for the rational use of antimicrobial agents, and enhanced clinical standardization of antimicrobial agents management.
© 2021 Li et al.

Entities:  

Keywords:  ESKAPE pathogens infection; antimicrobial resistance; burn; risk factors

Year:  2021        PMID: 34795489      PMCID: PMC8594746          DOI: 10.2147/IDR.S338627

Source DB:  PubMed          Journal:  Infect Drug Resist        ISSN: 1178-6973            Impact factor:   4.003


Introduction

Burn wounds are defined as skin injures and tissue damage caused by excessive heat, electricity, chemicals, and other factors;1 which have become one of the serious health problems globally.2 According to the latest report from the World Health Organization (WHO), burns cause an estimated 18,000 deaths worldwide each year.3 In addition, burn injuries are usually accompanied by many complications, and one of the most severe and common complications is microbial infection.4 Burn patients become susceptible to bacterial infections due to disrupted skin barriers and weakened innate immunity.5 Without timely and appropriate treatment, bacterial infections in burn patients may lead to sepsis, multiple organ dysfunction syndrome, or even death.6 A survey showed that up to 75% mortality in burn patients was due to severe burns of 40% total body surface area (TBSA) or above.5 Among burn patients, Enterococcus faecalis, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp. are considered as important opportunistic bacteria causing infection.7 The Infectious Disease Society of America has designated these six bacterial species as “ESKAPE pathogens”.8 ESKAPE pathogens can escape from the biocidal action of antimicrobial agents through genetic mutations and acquisition of mobile genetic elements, and mutually represent new paradigms in pathogenesis, antimicrobial resistance, and transmission.9 ESKAPE pathogens have frequently developed resistance to a variety of antimicrobial agents, such as oxazolidinones, lipopeptides, macrolides, fluoroquinolones, tetracyclines, β-lactams, and even the last resort carbapenems.10 The China Antimicrobial Surveillance Network (CHINET) reported that ESKAPE pathogens accounted for more than 50% of all clinical isolated pathogens.11 Antimicrobial-resistant ESKAPE pathogens have been considered as the global major healthcare problem by many scientists and governments.12 Moreover, the emergence of multi-drug resistant ESKAPE (MDR-ESKAPE) makes the treatment of burn patients more difficult, resulting in poor prognosis and high mortality. Therefore, appropriate control measures are highly needed to prevent bacterial infections in burn patients. So far, no study was specifically designed to identify infectious characteristics among burn patients caused by ESKAPE pathogens. This current work analyzed the clinical manifestations, antimicrobial resistance, molecular characteristics, and risk factors for ESKAPE infection in a large teaching hospital located in Southwest China.

Materials and Methods

Study Design

All bacterial infection samples between September 2018 and June 2021 were collected from burn patients admitted to Affiliated Hospital of Southwest Medical University (Luzhou, China), which is a 4200-bed large teaching hospital with 56 wards and approximately 2,100,000 annual admissions. A total of 187 patients were included in this study according to the following criteria: (1) being admitted to the hospital for treatment within 48 h after the burn injury; (2) matching the first six and the last of the 12 criteria for burn injury diagnosis in the Diagnostic Criteria and Treatment Guideline for Infection of Burns (2012 edition); and (3) having complete clinical information. At the same time, some cases were ruled out on the basis of the following criteria: (1) patients with immunodeficiency; (2) being admitted to hospital for treatment after 48 h of burns; and (3) having incomplete or missing medical record information.

Data Collection and Definitions

The samples from burn patients with bacterial infections were cultured in the standard media. Then, clinical isolates were identified using a MicroScan WalkAway 96 Plus System (Siemens, Germany) and a Microflex LT (Bruker Diagnostics Inc., USA) matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) system. All the eligible clinical data of burn patients were collected from medical records, including basic demographics (age, gender, length of hospitalization stay, etc.), burn characteristics (cause of burn, burn depth, TBSA, inhalation injury, etc.), underlying diseases (diabetes, hypertension, abnormal liver function, hypoproteinemia, etc.), clinical treatments (surgeries, blood transfusion, parenteral nutrition, antimicrobial treatment, urethral catheterization, deep artery puncture, duration of antimicrobial application, etc.), and laboratory records (white blood cell count [WBC], percentage of neutrophils [NEU%], hemoglobin [Hb], platelets [PLT], albumin-globulin ratio [A/G ratio]).

Antimicrobial Susceptibility Testing

The antimicrobial susceptibility testing of the clinical bacterial isolates was performed using the VITEK system and the Kirby-Bauer disk diffusion method. Gram-positive bacteria were tested for susceptibility to 16 antibiotics, including penicillin, ampicillin, oxacillin, ciprofloxacin, levofloxacin, daptomycin, moxifloxacin, gentamicin, erythromycin, tetracycline, chloramphenicol, nitrofurantoin, vancomycin, rifampin, quinupristin–dalfopristin, and linezolid. For Gram-negative bacteria, 17 antibiotics were selected for testing, including imipenem, meropenem, gentamicin, tobramycin, amikacin, piperacillin–tazobactam, ticarcillin–clavulanic acid, ampicillin–sulbactam, cefuroxime, cefotaxime, ceftriaxone, ceftazidime, cefepime, aztreonam, tetracycline, levofloxacin, and chloramphenicol. The results were interpreted according to the Clinical and Laboratory Standards Institute (CLSI 2020). At the same time, E. faecalis ATCC29212, S. aureus ATCC25923, K. pneumoniae ATCC700603, A. baumannii ATCC19606, and P. aeruginosa ATCC27853 were used as quality control strains, and these strains were purchased from the Clinical Inspection Center of the Ministry of Health.

Detection of Resistance Genes by Polymerase Chain Reaction

A total of 67 MDR- ESKAPE strains were included in this experiment, including 2 E. faecalis strains, 25 S. aureus strains, 3 K. pneumoniae strains, 26 A. baumannii strains, 7 P. aeruginosa strains, and 4 Enterobacter spp. DNA templates were obtained by boiling bacteria, and antimicrobial resistance genes were detected by polymerase chain reaction (PCR).13,14 The PCR conditions were as described previously. These common antimicrobial resistance genes were selected based on antimicrobial susceptibility profile of each ESKAPE pathogen: E. faecium (tetM, aacA-aphD, aphA3, ermB, and aph3ʹIII), S. aureus (mecA, tetM, ermA, qacA/B, and aph3ʹIII), A. baumannii (blaTEM, blaOXA-23, blaOXA-51, blaADC, and adeB), K. pneumoniae and Enterobacter spp. (blaKPC-2, blaNDM-1, blaSHV, blaVIM, and blaOXA-48), and P. aeruginosa (blaPDC, blaOXA-50, blaKPC, rmtB, and aac(6ʹ)Ib-cr). All experiment were performed in triplicated. The primers are shown in .

Statistical Analysis

Statistical analysis was performed using IBM SPSS software version 26 for Windows (IBM, NY, USA). Chi-square test, Fisher’s exact test, or Mann–Whitney U-test were used to analyze categorical variables. Continuous variables were presented as means ± standard deviation (SD) or as medians and interquartile range (IQR), and analyzed by the more appropriate Student t-test or Mann–Whitney U-test. Additionally, the multivariable logistic regression analysis was used to identify the independent risk factors among burn patients with ESKAPE and non-ESKAPE pathogens infection, as well as among MDR-ESKAPE and non-MDR-ESKAPE pathogens infection. Significance was defined as a P-value of <0.05 (two-tailed).

Results

Distribution Characteristics of ESKAPE Pathogens

A total of 255 isolates were collected from a variety of clinical specimens from 187 burn patients between August 2018 and June 2021. Of all the clinical specimens, wound secretions were the most frequent sample type, followed by catheter tips, blood, sputum, and others (Figure 1A). Among 187 burn patients, 46 (24.6%) patients isolated two or more pathogens during hospitalization. Moreover, a total of 255 strains were isolated among 49 species, of which 133 (52.2%) were Gram-negative bacteria and the other 122 (47.8%) were Gram-positive bacteria. The top 5 Gram-negative bacteria were A. baumannii (21.1%, 28/133), P. aeruginosa (17.3%, 23/133), Enterobacter spp. (17.3%, 23/133), Escherichia coli (8.3%, 11/133), and K. pneumoniae (6.0%, 8/133) (Figure 1B). In addition, the top 3 Gram-positive bacteria were S. aureus (28.7%, 35/122), Staphylococcus haemolyticus (20.5%, 25/122), and Staphylococcus epidermidis (16.4%, 20/122) (Figure 1C). Remarkably, 121 out of 255 (47.5%) strains were ESKAPE pathogens, which were S. aureus (28.9%, 35/121), A. baumannii (23.2%, 28/121), P. aeruginosa (19.0%, 23/121), Enterobacter spp. (19.0%, 23/121), K. pneumoniae (6.6%, 8/121), and E. faecium (3.3%, 4/121) (Figure 1D).
Figure 1

Distribution characteristics of pathogenic bacteria. (A) Strain source distribution; (B) Distribution of various types of Gram-negative bacteria; (C) Distribution of various types of Gram-positive bacteria; (D) Distribution of various types of ESKAPE pathogens.

Distribution characteristics of pathogenic bacteria. (A) Strain source distribution; (B) Distribution of various types of Gram-negative bacteria; (C) Distribution of various types of Gram-positive bacteria; (D) Distribution of various types of ESKAPE pathogens.

Antimicrobial Susceptibility Profiles

All ESKAPE isolates were subjected to antimicrobial susceptibility testing. The results are shown in Tables 1 and 2. Only four E. faecium strains were isolated, and they had a high rate of resistance to erythromycin, oxacillin, and ciprofloxacin. S. aureus was highly resistant to ampicillin and penicillin, with a resistance rate of 100.0% and 97.1%, respectively. However, S. aureus was sensitive to daptomycin, nitrofurantoin, vancomycin and linezolid. It was worth noting that 18 methicillin-resistant S. aureus (MRSA) isolates were detected in this study, accounting for 51.4%.
Table 1

Antimicrobial Resistance of ESKAPE: Gram-Positive Pathogens

Antimicrobial AgentsS. aureus, n(%) (n=35)E. faecium, n(%) (n=4)
Penicillin34 (97.1)1 (25.0)
Ampicillin35 (100.0)0 (0.0)
Oxacillin18 (51.4)4 (100.0)
Ciprofloxacin9 (25.7)3 (75.0)
Levofloxacin9 (25.7)1 (25.0)
Moxifloxacin3 (8.6)1 (25.0)
Daptomycin0 (0.0)0 (0.0)
Gentamicin8 (22.9)*
Erythromycin25 (71.4)4 (100.0)
Tetracycline16 (45.7)1 (25.0)
Chloramphenicol22 (62.9)0 (0.0)
Nitrofurantoin0 (0.0)0 (0.0)
Vancomycin0 (0.0)0 (0.0)
Rifampin2 (5.7)2 (50.0)
Quinupristin–dalfopristin2 (5.7)*
Linezolid0 (0.0)0 (0.0)

Note: *Represents that the bacterial species are naturally resistant to the antibiotic and is not included in the resistance analysis.

Table 2

Antimicrobial Resistance of ESKAPE: Gram-Negative Pathogens

Antimicrobial AgentsA. baumannii, n(%) (n=28)P. aeruginosa, n(%) (n=23)K. pneumoniae, n(%) (n=8)Enterobacter spp., n(%) (n=23)
Imipenem21 (75.0)3 (13.1)2 (25.0)3 (13.1)
Meropenem22 (78.6)0 (0.0)2 (25.0)3 (13.1)
Gentamicin19 (67.9)1 (4.3)2 (25.0)2 (8.7)
Tobramycin19 (67.9)1 (4.3)3 (37.5)0 (0.0)
Amikacin19 (67.9)0 (0.0)0 (0.0)0 (0.0)
Piperacillin-tazobactam23 (82.1)2 (8.7)0 (0.0)0 (0.0)
Ticarcillin-clavulanic acid21 (75.0)2 (8.7)2 (25.0)0 (0.0)
Ampicillin-Sulbactam23 (82.1)*3 (37.5)*
Cefuroxime**3 (37.5)6 (26.1)
Cefotaxime23 (82.1)*2 (25.0)1 (4.3)
Ceftriaxone23 (82.1)*3 (37.5)6 (26.1)
Ceftazidime23 (82.1)1 (4.3)2 (25.0)1 (4.3)
Cefepime22 (78.6)0 (0.0)2 (25.0)0 (0.0)
Aztreonam*4 (17.4)2 (25.0)0 (0.0)
Tetracycline21 (75.0)*4 (66.7)1 (4.3)
Levofloxacin23 (82.1)2 (8.7)2 (25.0)0 (0.0)
Chloramphenicol**4 (66.7)0 (0.0)

Note: *Represents that the bacterial species are naturally resistant to the antibiotic and is not included in the resistance analysis.

Antimicrobial Resistance of ESKAPE: Gram-Positive Pathogens Note: *Represents that the bacterial species are naturally resistant to the antibiotic and is not included in the resistance analysis. Antimicrobial Resistance of ESKAPE: Gram-Negative Pathogens Note: *Represents that the bacterial species are naturally resistant to the antibiotic and is not included in the resistance analysis. No antimicrobial resistance exceeded 40% in K. pneumoniae except tetracycline and chloramphenicol. Moreover, more than 60% A. baumannii were resistant to all tested antibiotics, and 92.9% (26/28) MDR-A. baumannii was found. In contrast, P. aeruginosa and Enterobacter spp. possessed the relatively lowest antimicrobial-resistant proportion.

Detection of Antimicrobial Resistance Genes

As shown in Figure 2, only two MDR-E. faecalis isolates were found in this study, both of them contained aacA-aphD and aph3ʹIII, and either of them carried aphA3, ermB or tetM. Among S. aureus strains, the prevalence of mecA, aph3ʹIII, and tetM was 68.0% (17/25), 56.0% (14/25), and 52.0% (13/25), respectively. However, no strains expressed ermA and qacA/B genes. In K. pneumoniae isolates, the most prevalent gene was blaSHV (100%, 3/3), followed by blaKPC-2 (66.7%, 2/3) and blaNDM-1 (33.3%, 1/3). In addition, all the A. baumannii isolates carried blaTEM; however, none of them carried blaADC. At the same time, the prevalence of blaOXA-51, adeB, and blaOXA-23 was 80.8% (21/26), 76.9% (20/26), and 53.8% (14/26), respectively. All the P. aeruginosa isolates carried blaPDC, and 71.4% (5/7) isolates harbored blaOXA-50. Furthermore, Enterobacter spp. only expressed blaSHV (100%, 4/4) and blaOXA48 (66.7%, 3/4).
Figure 2

Expression of resistance genes in ESKAPE pathogens. (A) Expression of resistance genes in E. faecalis; (B) Expression of resistance genes in S. aureus; (C) Expression of resistance genes in K. pneumoniae; (D) Expression of resistance genes in A. baumannii; (E) Expression of resistance genes in P. aeruginosa; (F) Expression of resistance genes in Enterobacter spp.

Expression of resistance genes in ESKAPE pathogens. (A) Expression of resistance genes in E. faecalis; (B) Expression of resistance genes in S. aureus; (C) Expression of resistance genes in K. pneumoniae; (D) Expression of resistance genes in A. baumannii; (E) Expression of resistance genes in P. aeruginosa; (F) Expression of resistance genes in Enterobacter spp.

Analysis of ESKAPE Group versus Non-ESKAPE Group

The potential factors among patients with ESKAPE infections are shown in Table 3. TBSA was highly associated with ESKAPE pathogens infection (P < 0.001). Additionally, compared with the non-ESKAPE group, more patients were critically ill (52.2% vs 22.7%; P < 0.001) and received a combination of antibiotics therapy (18.9% vs 5.2%; P = 0.004), blood transfusion (57.8% vs 26.8%; P < 0.001), parenteral nutrition (23.3% vs 5.2%; P < 0.001), and urethral catheterization (33.3% vs 14.4%; P = 0.002). Moreover, the length of hospital stay was significantly longer in patients with ESKAPE infections (P = 0.014). In contrast, the value of Hb was lower in the non-ESKAPE group than in the ESKAPE group (P = 0.034).
Table 3

Clinical Characteristics and Laboratory Records of Patients with ESKAPE Pathogens Infection

Variable, n(%)ESKAPE (n=90)Non-ESKAPE (n=98)P-value
Basic demographics
 Age, median (range)51 (41–71)50 (39–63)0.826
 Gender (male)55 (61.1)61 (62.8)0.803
Length of hospital stay, median (range), days31 (11–46)19 (9–31)0.014
Burn characteristics
 Cause of burns injuries0.974
  Flame burns22 (24.4)51 (52.5)
  Hydrothermal burns62 (68.9)38 (39.2)
  Others6 (6.7)9 (9.3)
 Depth of burn0.900
  Degree I–II, superficial40 (44.4)44 (45.4)
  Degree II–III, deep50 (55.6)53 (54.6)
TBSA< 0.001
  ≤ 10%20 (22.2)45 (46.4)
  > 10–30%38 (42.2)46 (47.4)
  > 30–50%19 (21.2)4 (4.1)
  > 50%13 (14.4)2 (2.1)
 Inhalation injury15 (16.7)12 (12.4)0.404
Underlying conditions
 Diabetes3 (3.3)4 (4.1)1.000
 Hypertension3 (3.3)7 (7.2)0.393
 Abnormal liver function10(11.1)6 (6.2)0.229
 Hypoproteinemia13 (14.4)7 (7.2)0.110
Therapy
Combination of antibiotics17 (18.9)5 (5.2)0.004
 Duration of antibiotic application, median (range)12 (6–24)7 (5–12)0.052
Blood Transfusion52 (57.8)26 (26.8)< 0.001
 Surgery20 (22.2)10 (10.3)0.027
 Negative pressure suction8 (8.9)6 (6.2)0.483
 ICU admission5 (5.6)1 (1.0)0.181
Parenteral nutrition21 (23.3)5 (5.2)< 0.001
Urethral catheterization30 (33.3)14 (14.4)0.002
 Deep arterial puncture placement11 (12.2)7 (3.1)0.246
 Percutaneous tracheotomy10 (11.1)4 (4.1)0.125
Laboratory records
 WBC, median (range)12.68 (8.93–18.56)9.05 (7.13–12.68)0.054
 NEU, median (range)82.00 (73.04–87.10)70.50 (59.50–81.70)0.111
Hb, median (range)129.00 (109.00–143.00)135.00 (117.00–151.00)0.034
 PLT, median (range)189.00(116.00–256.00)211.50 (160.00–167.00)0.995
 A/G, median (range)1.42 (1.26–1.69)1.45 (1.27–1.70)0.218
Other characteristics
 Malnutrition10 (11.1)7 (7.2)0.355
 Sepsis6 (6.7)2 (2.1)0.120
Critically ill47 (52.2)22 (22.7)<0.001

Note: Bold indicates P < 0.05.

Abbreviations: TBSA, total burn surface area; NEU, Neutrophil; Hb, Hemoglobin; PLT, Platelet; A/G, Albumin-globulin ratio.

Clinical Characteristics and Laboratory Records of Patients with ESKAPE Pathogens Infection Note: Bold indicates P < 0.05. Abbreviations: TBSA, total burn surface area; NEU, Neutrophil; Hb, Hemoglobin; PLT, Platelet; A/G, Albumin-globulin ratio. The multivariate logistic regression analysis showed that TBSA >30–50% (OR = 10.428; 95% CI, 2.047 to 53.108), TBSA >50% (OR = 15.534; 95% CI, 1.489 to 162.021), and parenteral nutrition (OR = 3.597; 95% CI, 1.098 to 11.787) were independent risk factors for ESKAPE pathogens infection (Table 4).
Table 4

Clinical Risk Factors for ESKAPE Infection

VariablesUnivariate AnalysisMultivariate Analysis
OR (95% CI)P-valueOR (95% CI)P-value
Length of hospital stay, median (range), days1.026 (1.008–1.044)0.0041.007 (0.987–1.028)0.472
TBSA< 0.0010.016
 ≤ 10%1< 0.0011.000
 > 10–30%1.957 (0.995–3.847)0.0521.677 (0.778–3.613)0.187
> 30–50%10.687 (3.219–35.484)<0.00110.428 (2.047–53.108)0.005
> 50%12.375 (2.508–61.052)0.00215.534 (1.489–162.021)0.022
Combination of antibiotics4.285 (1.509–12.164)0.0062.216 (0.523–9.394)0.280
Blood Transfusion3.390 (1.844–6.234)<0.0010.985 (0.372–2.603)0.975
Urethral catheterization2.929 (1.431–5.995)0.0030.628 (0.210–1.880)0.406
Parenteral nutrition5.539 (1.989–15.427)0.0013.597 (1.098–11.787)0.035
Hb0.986 (0.973–0.999)0.0360.984 (0.969–1.000)0.050
Critically ill3.726 (1.985–6.996)<0.0010.956 (0.356–2.572)0.939

Note: Bold indicates P < 0.05.

Abbreviations: OR, odds ratio; CI, confidence interval.

Clinical Risk Factors for ESKAPE Infection Note: Bold indicates P < 0.05. Abbreviations: OR, odds ratio; CI, confidence interval.

Analysis of MDR-ESKAPE Group versus Non-MDR-ESKAPE Group

The cause of burn injuries was significantly associated with MDR-ESKAPE infection (P = 0.011). Patients with MDR-ESKAPE infections were more likely to accept treatments such as surgery (34.0% vs 7.9%; P = 0.004), deep artery puncture (22.0% vs 2.6%; P = 0.021), and percutaneous tracheotomy (20.0% vs 2.6%; P = 0.034). Additionally, patients with inhalation injury (30.0% vs 7.9%; P = 0.011) were also prone to MDR-ESKAPE infections (Table 5). However, no independent risk factors were found for MDR-ESKAPE infection (Table 6).
Table 5

Clinical Characteristics and Laboratory Records of Patients with MDR-ESKAPE Pathogens Infection

Variable, n(%)MDR-ESKAPE (n=50)Non-MDR-ESKAPE (n=38)P-value
Basic demographics
 Age, median (range)19.5 (2–48)3 (1–32.75)0.130
 Gender (male)21 (42.0)23 (60.5)0.085
 Length of hospital stay, median (range), days19.5 (8–46)12.5 (9–26.5)0.158
Burn characteristics
Cause of burn injuries0.011
  Flame burns16 (32.0)6 (15.8)
  Hydrothermal burns27 (54.0)32 (84.2)
  Others6 (12.0)1 (2.6)
 Depth of burn0.260
  Degree I–II, superficial19 (21.1)19 (50.0)
  Degree II–III, deep31 (62.0)19 (50.0)
 TBSA0.166
  ≤ 10%16 (32.0)11 (28.9)
  > 10–30%15 (30.0)21 (55.3)
  > 30–50%9 (18.0)6 (15.8)
  > 50%10 (20.0)0 (0.0)
Inhalation injury15 (30.0)3 (7.9)0.011
Underlying conditions
 Diabetes1 (2.0)2 (5.3)0.808
 Hypertension1 (2.0)3 (7.9)0.425
 Abnormal liver function1 (2.0)2 (5.3)0.808
 Hypoproteinemia8 (16.0)2 (5.3)0.218
Therapy
 Combination of antibiotics16 (32.0)7 (18.4)0.151
 Duration of antibiotic application, median (range)8 (6–15)7 (4.75–10.00)0.080
 Blood Transfusion29 (58.0)22 (57.9)0.992
Surgery17 (34.0)3 (7.9)0.004
 Negative pressure suction6 (12.0)2 (5.3)0.475
 ICU admission5 (10.0)2 (5.2)0.678
 Parenteral nutrition14 (28.0)7 (18.4)0.296
 Urethral catheterization20 (40.0)10 (26.3)0.180
Deep arterial puncture placement11 (22.0)1 (2.6)0.021
Percutaneous tracheotomy10 (20.0)1 (2.6)0.034
Laboratory records
 WBC, median (range)11.74 (8.89–17.83)12.37 (9.82–17.49)0.886
 NEU, median (range)73.7 (45.62–84.3)64.82 (54.12–76.52)0.354
 Hb, median (range)125.00 (107.75–141.50)114.00 (99.00–136.00)0.067
 PLT, median (range)238.5 (164.25–346.75)270 (210.25–344.50)0.134
 A/G, median (range)1.61 (1.40–1.90)1.72 (1.50–2.29)0.445
Other characteristics
 Malnutrition5 (10.0)4 (10.8)1.000
 Sepsis5 (10.0)1 (2.6)0.352
 Critically ill28 (56.0)18 (47.4)0.557

Note: Bold indicates P < 0.05.

Abbreviations: TBSA, total burn surface area; NEU, Neutrophil; Hb, Hemoglobin; PLT, Platelet; A/G, Albumin-globulin ratio.

Table 6

Clinical Risk Factors for MDR-ESKAPE Infection

VariablesUnivariate AnalysisMultivariate Analysis
OR (95% CI)P-valueOR (95% CI)P-value
Cause of burn injuries0.0160.450
 Flame burns0.0160.450
 Hydrothermal burns0.248 (0.081–0.761)0.0152.671 (0.209–34.100)0.450
 Others1.765 (0.170–18.321)0.6340.485 (0.116–2.026)0.321
Inhalation injury5.000 (1.329–18.814)0.0171.712 (0.292–10.033)0.551
Surgery6.010 (1.611–22.415)0.0082.271 (0.448–11.518)0.322
Deep arterial puncture placement10.436 (1.283–84.877)0.0282.195 (0.182–26.481)0.536
Percutaneous tracheotomy9.250 (1.129–75.815)0.0383.068 (0.267–35.205)0.368

Abbreviations: OR, odds ratio; CI, confidence interval.

Clinical Characteristics and Laboratory Records of Patients with MDR-ESKAPE Pathogens Infection Note: Bold indicates P < 0.05. Abbreviations: TBSA, total burn surface area; NEU, Neutrophil; Hb, Hemoglobin; PLT, Platelet; A/G, Albumin-globulin ratio. Clinical Risk Factors for MDR-ESKAPE Infection Abbreviations: OR, odds ratio; CI, confidence interval.

Discussion

Burn injury is one of the most common types of traumatic injuries, with a morbidity of up to 1.1 per 100,000 population.5 The primary factors for bacterial infections in burn patients are destruction of the skin barrier and concomitant suppression of immune responses.15 In addition, the burn wound surface consists of avascular necrotic tissue, and can also provide a protein-rich micro-environment for bacterial growth.16 Since the skin barrier is damaged, staphylococci, which are originally located in sweat glands and other places, can grow in large numbers in a short time. At the same time, the wound exposed to air increases the risk of nosocomial infection.5 A total of 187 burn patients with bacterial infections from the Department of Burn and Plastic Surgery were included in this study, and 255 strains were isolated from them. Further, 84.3% strains were collected from wound secretion, which were similar to the findings of Chen’ s study.17 Therefore, increasing efforts to control trauma infections in burn patients was most important. In our study, the proportion of Gram-negative bacteria was slightly higher than that of Gram-positive bacteria. This distribution was also consistent with that in other hospitals in Southwest China,18 Iran,19 and the United Kingdom.20 According to CHINET reports, S. aureus was the most susceptible bacteria in burn patients in China, which was consistent with our results.11 S. aureus commonly colonizes human skin and proliferates when the wound is infected.15 In addition, the antimicrobial-resistant S. aureus poses a serious threat to the treatment of post-burn bacterial infections. Here, S. aureus was highly resistant to β-lactam antibiotics; besides, more than half of the strains were MRSA. The detection rate of MDR-S. aureus carrying the mecA gene (resistance to many β-lactam antibiotics) reached 85%, and such a high detection rate was consistent with what is now being reported internationally.21–23 A. baumannii was the most prevalent and resistant bacteria among Gram-negative bacteria. Almost all the strains were MDR-A. baumannii, and this result was also in line with some previous studies.18,24,25 A. baumannii was highly resistant to β-lactam antibiotics due to frequent expression of the extended-spectrum β-lactamases (ESBLs) encoding gene blaTEM and the efflux pump mediating gene adeB.24,25 In addition, the WHO has created a priority list of antibiotic-resistant bacteria to support effective treatment research, and the carbapenem-resistant A. baumannii was on the top.26 Carbapenem resistance in A. baumannii was mainly associated with OXA-type carbapenemases, and the high carrying rates of blaOXA-51 and blaOXA-23 were the essential factor of specific resistance.27–29 Importantly, these traditional antibiotics are still widely used in clinical treatments, and such sub-inhibitory concentrations can also induce the antimicrobial resistance of A. baumannii. P. aeruginosa is usually isolated from burn patients, even surpassing S. aureus as the most frequently detected pathogen in other previous reports, leading to a high morbidity and mortality.26,27 In the present study, P. aeruginosa strains were less than one fifth among ESKAPE pathogens, and the antimicrobial resistance was also relatively lower than that of other bacterial types. However, the high detection rate of blaPDC and blaOXA-50 indicates that our hospital needs to be alert to the prevalence of ESBL-producing P. aeruginosa.30,31 Exposure wounds are vulnerable to infection with Enterobacter spp., especially MDR-Enterobacter spp., which was consistent with our results.32,33; Moreover, burn patients with MDR-Enterobacter spp. infections may develop sepsis, multi-organ failure, and even death owing to inappropriate empirical antibiotic therapy. The high detection rate of carbapenem-resistant Enterobacter spp. reminded us that the judicious use of carbapenems is necessary.34 In addition, K. pneumoniae and E. faecalis were rarely detected in our study. It was likely that most of the strains isolated from wound secretions, but these two bacteria were usually colonized in the gastrointestinal and respiratory tracts. The high detection rate of blaKPC and blaSHV in K. pneumoniae strains indicates that some measures should be taken to avoid the further prevalence of carbapenem-resistant K. pneumoniae (CRKP) in our hospital.35,36 At the same time, aminoglycoside resistance genes (aacA-aphD, aphA3, aph3ʹIII) and macrolide resistance gene (ermB) were detected in E. faecalis, which was consistent with the result of antimicrobial susceptibility profiles.37 Francisco et al have reported that ESKAPE pathogens have a significant influence on death during hospitalization in patients with severe infections.38 To further clarify the infectious characteristics of ESKAPE pathogens in burn patients, the risk factors among ESKAPE and non-ESKAPE infections as well as MDR-ESKAPE and non-MDR-ESKAPE infections were evaluated. TBSA >30–50%, TBSA >50%, and parenteral nutrition were independent risk factors for ESKAPE pathogens infection in burn patients. TBSA, as an index to assess the degree of burn injury, has been reported as an independent risk factor for burn infection.39 The larger the burn area, the more severely the skin barrier is damaged and the more the susceptibility to bacterial infections. Even commensals on the skin (such as S. aureus) can become a threat to cause infection on burn areas. Moreover, inevitable contact between the wound and bacteria in the air, medical devices, or the hands of medical staff is highly susceptible to nosocomial infections. Additionally, burn patients with TBSA >20% cannot get enough nutrition independently; therefore, they have to accept parenteral nutrition.40 Although parenteral nutrition can supply sufficient nutrition to patients, the duration of parenteral nutrition leads to longer wound exposure, which also provides more opportunities for ESKAPE infection.41 Prolonged parenteral nutrition may also cause intestinal dysbiosis. Hiengrach et al suggested that intestinal dysbiosis could, to some extent, lead to infections with P. aeruginosa and some Enterobacter spp.42 Remarkably, despite statistically significant differences between non-MDR-ESKAPE and MDR-ESKAPE infections in burn injuries, inhalation injury, surgery, deep artery puncture, and percutaneous tracheotomy were established, the risk factors for MDR-ESKAPE infection were not revealed. One possible explanation may be the limited number of MDR-ESKAPE infection cases in our study. This study also had some limitations. First, it was single-center research, and some important risk factors for ESKAPE infection might have been missed. Second, sample sizes were small, leading to a selection bias in the results. Third, it was a retrospective study, and some medical records and ESKAPE isolates might not have been stored completely.

Conclusion

To our best knowledge, this study was novel in evaluating pathogenic characteristics and risk factors for ESKAPE pathogens infection in burn patients. ESKAPE pathogens account for almost 50% of all the bacteria isolated from burn patients, and carrying antimicrobial resistance genes was the main reason for these strains to be highly resistant. The severe antimicrobial resistance of ESKAPE pathogens poses great challenges in the treatment of infections and the control of nosocomial infections. TBSA > 30%–50%, TBSA > 50%, and parenteral nutrition were identified as the independent risk factors for ESKAPE pathogens infection. A series of reasonable and effective measures are essential to prevent the spread of ESKAPE pathogens in hospitals, such as strengthening the hand hygiene of medical and nursing staff, strictly enforcing the aseptic operation and sterilization isolation system, and sterilizing the relevant instruments for patients who are hospitalized and receive mechanical ventilation for a long time.
  42 in total

1.  Prevalence of Enterobacteriaceae spp. and its multidrug-resistant rates in clinical isolates: A two-center cross-sectional study.

Authors:  Bahman Mirzaei; Ryhane Babaei; Zahra Norouzi Bazgir; Hamid Reza Goli; Shima Keshavarzi; Elham Amiri
Journal:  Mol Biol Rep       Date:  2021-01-03       Impact factor: 2.316

2.  Molecular Epidemiology of Carbapenem-Resistant Acinetobacter baumannii in a Tertiary Care Hospital in Egypt: Clonal Spread of blaOXA-23.

Authors:  Afaf Mohamed Samy El Bannah; Nada Nabil Nawar; Reem Mostafa Mohamed Hassan; Sherifa Tarek Bassiouni Salem
Journal:  Microb Drug Resist       Date:  2017-08-07       Impact factor: 3.431

3.  Elevated prevalence of multidrug-resistant Acinetobacter baumannii with extensive genetic diversity in the largest burn centre of northeast Iran.

Authors:  Nazanin Sarhaddi; Saman Soleimanpour; Hadi Farsiani; Arman Mosavat; Samaneh Dolatabadi; Himen Salimizand; Saeid Amel Jamehdar
Journal:  J Glob Antimicrob Resist       Date:  2016-12-21       Impact factor: 4.035

Review 4.  The Epidemiology of Carbapenem-Resistant Enterobacteriaceae: The Impact and Evolution of a Global Menace.

Authors:  Latania K Logan; Robert A Weinstein
Journal:  J Infect Dis       Date:  2017-02-15       Impact factor: 5.226

5.  Changes of microbial flora and wound colonization in burned patients.

Authors:  Serpil Erol; Ulku Altoparlak; Mufide N Akcay; Fehmi Celebi; Mehmet Parlak
Journal:  Burns       Date:  2004-06       Impact factor: 2.744

6.  Risk factors for long-term mortality in patients admitted with severe infection.

Authors:  J Francisco; I Aragão; T Cardoso
Journal:  BMC Infect Dis       Date:  2018-04-05       Impact factor: 3.090

7.  Antibacterial Activity of Kalanchoe mortagei and K. fedtschenkoi Against ESKAPE Pathogens.

Authors:  Nicholas Richwagen; James T Lyles; Brandon L F Dale; Cassandra L Quave
Journal:  Front Pharmacol       Date:  2019-02-06       Impact factor: 5.810

8.  Distribution and drug resistance of pathogens in burn patients in China from 2006 to 2019.

Authors:  Hui Chen; Lin Yang; Lin Cheng; Xiao-Hua Hu; Yu-Ming Shen
Journal:  World J Clin Cases       Date:  2021-04-06       Impact factor: 1.337

9.  Different Infection Profiles and Antimicrobial Resistance Patterns Between Burn ICU and Common Wards.

Authors:  Yali Gong; Yuan Peng; Xiaoqiang Luo; Cheng Zhang; Yunlong Shi; Yixin Zhang; Jun Deng; Yizhi Peng; Gaoxing Luo; Haisheng Li
Journal:  Front Cell Infect Microbiol       Date:  2021-06-30       Impact factor: 5.293

Review 10.  A systematic review of objective burn scar measurements.

Authors:  Kwang Chear Lee; Janine Dretzke; Liam Grover; Ann Logan; Naiem Moiemen
Journal:  Burns Trauma       Date:  2016-04-27
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  1 in total

1.  Investigation on Potential ESKAPE Surrogates for 222 and 254 nm Irradiation Experiments.

Authors:  Anna-Maria Gierke; Martin Hessling
Journal:  Front Microbiol       Date:  2022-07-01       Impact factor: 6.064

  1 in total

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