BioMed Research International
Volume 2019 (2019), Article ID 2510875, 9 pages
https://doi.org/10.1155/2019/2510875

Research Article

Recent Advances in Investigation, Prevention, and Management of Healthcare-Associated Infections (HAIs): Resistant Multidrug Strain Colonization and Its Risk Factors in an Intensive Care Unit of a University Hospital

Dana Carmen Zaha,¹ Rita Kiss,¹ Csaba Hegedűs,² Rudolf Gesztelyi,² Mariann Bombicz,² Mariana Muresan,¹ Annamaria Pallag,³ Miklos Zrinyi,⁴ Denes Pall,⁴ Cosmin Mihai Vesa,¹ and Otilia Micle¹

¹Department of Preclinical Disciplines, University of Oradea, Faculty of Medicine and Pharmacy, 1st December Square 10, Oradea, 410068, Romania
²Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Debrecen, Nagyerdei krt. 98, H-4032 Debrecen, Hungary
³Department of Pharmacy, University of Oradea, Faculty of Medicine and Pharmacy, 1st December Square 10, Oradea, 410068, Romania
⁴Coordination Center for Drug Development, Faculty of Medicine, University of Debrecen, Nagyerdei krt. 98, H-4032 Debrecen, Hungary

Correspondence should be addressed to Rita Kiss; kiss.rita@med.unideb.hu

Received 15 February 2019; Accepted 23 May 2019; Published 20 June 2019

Guest Editor: Yatao Liu

Copyright © 2019 Dana Carmen Zaha et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Active screening for resistant multidrug strain carriers remains an important component of infection control policy in any healthcare setting indifferent of financial and logistical costs. The objective of our study was to determine the spectrum of bacterial colonization individually among intensive care unit patients. A retrospective observational study was performed in the Intensive Care Unit of Emergency Clinical County Hospital of Oradea during 2017. Medical records of the patients were used for evaluation of source of ICU admission, previous antibiotic therapy, comorbidities, and length of hospital stay. Nasal and groin swabs for MRSA detection and rectal swabs for ESBL, VRE, and CRE detection were collected upon ICU admission of all patients in the first 24 hours and after 7 days. Swab samples were processed for isolation and identification of these resistant multidrug strains. Bacterial colonization on admission was detected in a quarter of patients included in the study. Carbapenemase-producing bacteria were the most common colonizers (21.16%). On admission, 12.06% of patients have been colonized by ESBL-producing members of the family Enterobacterales. Risk factors for colonization on admission to the ICU were chronic liver diseases and chronic renal failure for ESBL infection and chronic liver disease for CRE in male patients. Evaluation of Carmeli’s score for male patients showed association only with CRE colonization. Chronic renal failure was found as risk factor for ESBL colonization in female patients. The prevalence of MRSA was 5.23% and less than 1% for VRE. There was no association between any risk factors studied and the presence of S. aureus or VRE upon admission. The 7-day ICU stay also proved to be an increased risk for ESBL and CRE infection.

1. Introduction

Infections associated with medical care (nosocomial) represent a worldwide problem despite the advancement in therapeutic technologies [1]. Intensive care unit (ICU) patients are more affected by these infections caused by special pathogens contributing to prolonged intensive care unit stays, increased morbidity and mortality, and increased resource utilization. Special interest is directed at the study of these special microorganisms resistant to multiple antimicrobials, which are growing at higher rate in the ICU setting, leading to higher treatment costs, morbidity, and mortality [2–6]. An important risk factor for nosocomial infection is prior colonization [7, 8]. Other clinical reports show different data about the incidence and patterns of colonization of multidrug-resistant bacteria [9–11].

As a definition, multiple drug resistance (MDR) is nonsusceptibility of a strain to at least one agent in three or more antibiotic classes [12]. In ICUs, the identified multidrug-resistant microorganisms include both Gram-positive bacteria (Staphylococcus aureus and Enterococcus spp.) and Gram-negative bacilli (Escherichia coli, Acinetobacter baumannii, Pseudomonas aeruginosa, Proteus spp., and Klebsiella spp.). Methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant Enterococcus spp. (VRE), extended-spectrum beta-lactamase producers (ESBL), carbapenemase-resistant Enterobacteriaceae (CRE), and multidrug-resistant Gram-negative bacteria (MDR) are well described [13–16]. MRSA could be a major cause of severe nosocomial infections (bloodstream infections, urinary tract infections, and pneumonia) contributing to the high mortality because of its resistance to a variety of antibiotics [17]. Vancomycin-resistant Enterococcus (VRE) has the same difficulties in treating infections or colonization [18]. Gram-negative organisms are important causes of the same nosocomial infections [19, 20]. ESBL Gram-negative producers are frequently isolated especially in ICU patients with multiple comorbidities and they are associated with high morbidity and mortality, due to the limited therapeutic options [21]. The narrowing of treatment strategies and the limited availability of future underdevelopment drugs lead to spreading of MDR-GN bacterial infections [22, 23]. In recent years, Food and Drug Administration (FDA) has approved the usage of new antibiotic combinations such as ceftolozane/tazobactam and ceftazidime/avibactam that are proven to be effective against MDR-GN, but the emergence of resistant strains is just a matter of time [16, 24]. Antibiotic resistance was discovered with the discovery of antibiotics, and a significant number of the analysed strains isolated from food products showed resistance to different antibiotic classes and the molecular techniques revealed that many of these possess either one or multiple genes that confer resistance to different antibiotics, like presence of ESBL and AmpC production [19, 25].

Bacterial colonization of the skin and mucous membranes of patients with these microorganisms usually precedes infections. Colonizers are part of the commensal bacterial flora of the skin that protects it from colonization with pathogenic bacteria; therefore they do not cause any problems usually. These different colonies may disappear spontaneously or be cleared under the action of disinfectant and antimicrobial agents. However, they can also turn into pathogenic bacteria if the activity of the skin surface antimicrobial proteins (AMPs) is compromised or the strains acquire new genes that modify the disease-producing capacity of the bacteria [26, 27]. When the protective barriers of skin and mucous membranes are compromised or immunity deficiency develops, these organisms overwhelm the body, resulting in an infection [28]. Screening of ICU patients upon admission for colonization by MDR strains, handling them with caution and isolation of colonized patients, could prevent nosocomial infections [29]. The purpose of this screening is to prevent spreading of these organisms to other ICU/non-ICU patients, especially those vulnerable to drastic consequences in case of transmission. A study reported that the screening of ICU patients upon admittance for the presence of MRSA and VRE despite special measures applied to isolate carriers did not result in a reduction of ICU-acquired infection with the aforementioned pathogens [29]. Instead, a recent review of literature published by Glick et al. implies that screening to universal MRSA carriage upon admission may reduce the risk of MRSA infections but the power of evidence was weak to support screening programs [30].

There are several scoring system models in use to estimate the severity of critical illness and to predict mortality among ICU patients. The acute physiology and chronic health evaluation (APACHE) model was first introduced, followed by APACHE II and APACHE III including data from American hospitals [31]. Another model, the simplified acute physiology score (SAPS), was instituted in 1985, followed by the revised editions SAPS II and SAPS III as an alternative to the APACHE score. SAPS I is employing 14 of the original 34 parameters used in the APACHE system and SAPS II and SAPS III included data of 12 parameters from the first 24 hours in the ICU [32–34].

In patients who have severe comorbidities and/or are immunocompromised, the multiple hospitalizations and the long-term antibiotic therapy sometimes in combination represent a high risk in the selection and the colonization and infection with resistant or multidrug-resistant strains [35]. The expected chance with which the bacteria might be resistant to the antimicrobial treatment can be assessed using Carmeli’s score [36–38].

This study was undertaken to evaluate the prevalence and the spectrum of bacterial colonization in patients admitted to the ICU of the Emergency Clinical County Hospital of Oradea, and to assess the predisposing risk factors for colonization.

2. Materials and Methods

2.1. Data Collection

The study was conducted at Emergency Clinical County Hospital of Oradea, with a 45-bed ICU that receives patients from within the hospital as well as ones referred from outside. It manages approximately 5600 critically ill patients annually. After ethical clearance by the institution and after receiving informed consent from the patient or from the next of kin (in case of unconscious patient), an active surveillance of 1971 adult admitted patients was done between January and December 2017.

Demographic characteristics, source of ICU admission, previous hospitalization, previous antibiotic therapy, comorbidities, length of hospital stay, and outcome were recorded and analysed. In order to identify the risk factors for colonization with multidrug-resistant strains, the diagnostics have been grouped and analysed as follows: respiratory (pneumonia, bronchial asthma, and chronic obstructive pulmonary disease) and cardiovascular diseases (hypertension, myocardial infarction, chronic heart failure, coronary heart disease, chronic atrial fibrillation, and stroke), chronic renal failure and diabetic nephropathy, chronic liver diseases (chronic hepatitis, hepatic cirrhosis, hepatic encephalopathy, and chronic hepatic insufficiency), cancer, hematologic malignancy (lymphoma and leukaemia), immunosuppressive status (chronic obstructive pulmonary disease, organ transplant, chronic autoimmune diseases, and AIDS), and diabetes mellitus.

Medical history of the patients, results of physical examination, and multiple laboratory parameters were analysed to calculate Carmeli’s score in order to identify patients susceptible to be colonized with multidrug-resistant bacteria at the beginning of the hospitalization. The scoring and stratification were based upon the presence of Carmeli’s risk factors [36, 37]. Risk factors were ranked with 1, 2, or 3 points according to the prediction for infection with susceptible, resistant, or multidrug-resistant microorganisms. Patients were scored as 1 to 3 according to the severity of the following factors: the degree of contact with the healthcare system and invasive procedures; antibiotic treatment; and patient characteristics such as age, various comorbidities, or immunosuppressed status. The highest numeric value of the three criteria represents final value of Carmeli’s score (1, 2, or 3). The final score allowed us to classify patients as follows: score 1 (community-acquired infections with microorganisms susceptible to classic antibiotics), score 2 (probably healthcare-associated or community-acquired infections but with high probability of resistant or multidrug-resistant strains), and score 3 (maximum prediction for nosocomial infections with resistant or multidrug-resistant strains) [38].

2.2. Microbiological Procedures

Nasal, groin, and/or rectal swab samples were collected to assess bacterial colonization during the first 24 hours of ICU admission from all study participants. The same samples were collected 7 days after admission for patients who remained hospitalized for that time period. Nasal and respective groin swab samples were collected by wiping the swab in circular motion while simultaneously rotating it in 360° and exerting gentle pressure on the surface. Rectal samples were collected by inserting the swab 1 cm into the rectum while rotating the swab in 360°. Swabs collected were placed in sterile round bottom tubes containing 1 ml sterile Amies transport medium and immediately transferred to the laboratory for analysis. Collected nasal and groin samples were screened for MRSA, while rectal swabs were screened for VRE, ESBL, and/or CRE. The strains have been considered multidrug-resistant if they displayed resistance to more than three antibiotic classes. Patients were considered to be colonized by any of the organisms studied if one or more of those organisms was/were isolated from one or more of the swabbed sites.

2.2.1. MRSA

Nasal and groin samples collected were cultured on MRSA CHROMagar (CHROMID® MRSA, bioMérieux) and incubated at 37°C for 24 hours. Plates were examined for green MRSA colonies; other colours were disregarded. In addition, the latex agglutination test was performed to identify penicillin-binding protein, PBP2A. The isolates were confirmed as MRSA by disc diffusion test using 30 μg cefoxitin disc on Mueller-Hinton agar according to European Committee on Antimicrobial Susceptibility Testing (EUCAST) guidelines. Quality control was done by using Staphylococcus aureus ATCC 25923.

2.2.2. VRE

Rectal swab samples were cultured on selective chromogenic medium (CHROMID® VRE) for direct identification of E. faecalis and E. faecium. The medium allowed the detection of acquired vancomycin-resistant strains (vanA and vanB) by selective coloration of the colonies as follows: blue-green for E. faecalis and violet for E. faecium. For quality control E. faecalis ATCC 51299 was used.

2.2.3. ESBL

All the rectal swabs were processed for isolation of ESBL-producing GN bacteria. Gram-negative bacteria were isolated on ESBL chrome agar (CHROMID® ESBL, bioMérieux). After incubation for 24 hours, it is easy to read results based on the specific coloration. Escherichia coli shows a pink to burgundy coloration (ß-glucuronidase-producing colonies), Klebsiella, Enterobacter, Serratia, and Citrobacter display a green/blue to brownish green coloration (ß-glucosidase-producing colonies), Proteus, Providencia, and Morganella appear in dark to light brown colonies (deaminase-expressing strains), and Acinetobacter spp. shows a cream coloration. ESBL producers were confirmed phenotypically by the double-disk synergy test using clavulanic acid and third-generation cephalosporins. Disks of third-generation cephalosporins and amoxicillin-clavulanic acid were kept 15–20 mm apart, centre to centre, on inoculated Mueller-Hinton agar. The plates were incubated at 35°C–37°C for 18–24 hours. A clear extension of the edge of the inhibition zone of any of the third-generation cephalosporins towards the amoxicillin-clavulanic acid disk was interpreted as positive for ESBL production. Escherichia coli ATCC 25922 was used for quality control.

2.2.4. CRE

The rectal swabs were analysed as well for the presence of GN bacteria with a reduced susceptibility to most of the carbapenem agents. We used selective chromogenic medium for the screening of carbapenemase-producing Enterobacteriaceae (CHROMID® CARBA). Escherichia coli displays a pink to burgundy coloration, Klebsiella shows green coloration, and Acinetobacter spp. appears in colorless or cream colonies. Any carbapenem-resistant isolate was investigated for phenotypic carbapenemase production using the carbapenem inhibition method [39]. For quality control, Klebsiella pneumoniae ATCC 25955 was used.

All isolates were identified to the species level by using MALDI-TOF mass spectrometry. The antibiotic susceptibility pattern was obtained by the Kirby–Bauer disc diffusion method on Mueller–Hinton agar and Vitek-2 according to the EUCAST guidelines.

Patients were considered colonized by any of the organisms studied if one or more of those organisms were isolated from at least one of the swabbed sites. ICU-acquired infection was defined if any of the studied pathogen colonies were detected 7 days after ICU admission in previously negative patients.

2.3. Data Analysis

Data were described as mean ± standard deviation (SD), number of cases, or percentages where appropriate. For the statistical analysis of the contingency tables, Chi-square test and Fisher’s exact test were used. Statistical significance was considered when p<0.05. All statistical calculations were done with GraphPad Prism 7.00.

3. Results

3.1. Demographic Data of Patients

The demographic characteristics and the possible risk factors for infection are summarized in Table 1. A total of 1971 patients, 1107 males and 864 females, were included in this study. The male : female ratio was 1.28 : 1 (56.16% male and 43.83% female). Mean age range was 65.13±14.65 years for males and 70.15±14.13 for females. More than half of the patients were above 65 years of age. One-third of patients (31.6%) had been hospitalized in the previous months, 1473 of 1971 (74.73 %) have been treated with antibiotics, and 44 (2.23%) patients with chronic renal failure came in for regular dialysis.

Table 1: Clinical characteristics of the patients (n= 1971).

Male
Female

Number of patients
1107
864

Mean age (years)
65.13±14.65
70.15±14.13

Age > 65 years
599
618

Carmeli score
1.54±0.66
1.75±0.77

Previous hospitalization
349
274

Antibiotic treatment
825
648

Surgical patients
53
42

    Perioperative infection prophylaxis
13
10

Respiratory diseases
173
140

Cardiovascular diseases
516
437

Chronic renal failure
30
14

Chronic liver diseases
47
27

Cancer
96
70

Hematologic malignancy
3
0

Diabetes mellitus
183
210

Carmeli’s score was an average of 1.54±0.66 in the male and 1.75±0.77 in female patients. The interpretation of our results shows that the patients included in the study are mostly with probably healthcare-associated or community-acquired infections but with high probability of resistant or multidrug-resistant strains. Among our patients, 96 (4.87%) were surgical patients, from whom 23 (23.95%) received a perioperative infection prophylaxis; therefore the rest of the patients were medical patients and the majority had received at least one group of antibiotics. The main three chronic disease groups presented by patients included in the study were cardiovascular disease, diabetes mellitus, and respiratory diseases regardless of the gender.

3.2. Bacterial Pattern of Colonization upon Admission

Overall, 1971 patients were sampled at one or more sites (nasal, groin, and rectal region) to assess colonization. Bacterial colonization (of 1 or more sites) upon admission was detected in 494 patients (25.06%). Evaluation of spectrum of bacterial colonization on admission shows that there are no significant differences between male and female patients. The results of the cultures from different swabbed sites obtained from the male and female study participants at admission are presented in Table 2.

Table 2: Spectrum of bacterial colonization upon admission. MRSA-N: MRSA detected from nasal cavity; MRSA-G: MRSA detected from groin area.

Male
Female

Number of patients [n]
Positivity [n]
Positivity [%]
Number of patients [n]
Positivity [n]
Positivity [%]

MRSA
381
18
4.72%
306
18
5.88%

    MRSA-N
381
13
3.41%
306
10
3.26%

    MRSA-G
381
9
2.36%
306
11
3.59%

VRE
400
1
0.25%
340
2
0.59%

ESBL
744
89
11.96%
599
73
12.19%

CRE
833
166
19.92%
556
127
22.84%

A number of 687 groin and nasal swabs were collected to detect MRSA; overall positivity has been 5.24%, 4.72% in male and 5.88% in female participants. If we compare the positivity rates between the two sites, groin and nasal cavity, they were 2.91% for the groin and 3.35 % for the nasal. In the same Gram-positive microorganisms, our results show a low rate of VRE colonization, less than 1%, slightly higher in female patients (0.25% versus 0.59%). 162 from 1343 (12.06%) of the studied patients were colonized upon admission with one or more of ESBL-producing organisms. Among the colonizing organisms, 50.76% of the ESBL-producing organisms belonged to the E. coli species. There were no significant differences between males (11.96%) and females (12.19%). Among Gram-negative bacteria with a reduced susceptibility to most carbapenem agents (CRE), Enterobacterales were the most prevalent (21.16%). In this order, the principal colonizer organism was E. coli (68.07%), followed by Enterobacter spp. (11.5%), Proteus spp. (7.04%), and Klebsiella spp. (4.2%). Nonfermenters were identified as Pseudomonas aeruginosa and Acinetobacter baumannii and they are almost in the same proportion in males and females, being less than 1% (11 from 1389).

3.3. Bacterial Pattern of Colonization at 7 Days

Patients who were hospitalized for more than 7 days were retested using the same nasal, groin, and rectal swabs for MRSA, VRE, ESBL, and CRE infection (see Table 3).

Table 3: Bacterial colonization of male and female patients upon 7 days of admission. NEG-NEG: no infection was found at admittance and at 7 days. NEG-POS: no infection was found at admittance but the patient was found to be infected at 7 days. POS-NEG: infected at admittance but no infection was found at 7 days. POS-POS: infected at admittance and the patient was found to be infected at 7 days.

Male
Female

MRSA
VRE
ESBL
CRE
MRSA
VRE
ESBL
CRE

NEG-NEG
93%
97.01%
52%
63.11%
88.46%
100%
49.66%
54.86%

NEG-POS
3%
2.99%
33.33%
25.41%
3.85%
0%
37.24%
32.64%

POS-NEG
4%
0%
6%
4.92%
7.69%
0%
6.90%
4.86%

POS-POS
0%
0%
8.67%
6.56%
0%
0%
6.21%
7.67%

According to our results, we found that more than 90% of patients were admitted to the ICU without MRSA or VRE infection regardless of gender. Approximately 3 to 4% of patients acquired MRSA infection during the ICU stay, and in male participants 2.99% were found with VRE positivity. We tested the patients during the first day of admission to the ICU and 4% of male and 7.69% of female patients were found to be positive to MRSA upon admittance, and all of them were found to be cleared of infection during the first week of stay. Regarding ESBL and CRE, we found that approximately 88% arrived to the ICU without being colonized, but during their first 7 days of hospitalization nearly 40% got infected with ESBL, while regarding CRE this number is closer to 33%. Upon admittance, 10-15% of patients were positive either to CRE and/or ESBL, and only half of them were found to be clear of infection during their first week of hospitalization.

3.4. Risk Factors for Colonization

According to our analysis, there was no significant association between age, Carmeli’s score, and any of the examined comorbidities regarding MRSA or VRE infection upon admittance neither in male nor in female patients. In male patients chronic renal failure and liver disease and in female patients only chronic renal failure proved to be significant risk factors for acquiring ESBL infection, with an approximately 5 times higher risk compared to the rest of the participants. Contrarily, cardiovascular diseases in male patients seem to be posing a lower risk of ESBL infection. Regarding CRE, Carmeli’s score and chronic liver diseases in male patients, and chronic renal failure in female patients represents a higher risk of infection, while cardiovascular diseases in female participants show a lower risk of colonization (see Tables 4 and 5).

Table 4: Analysis of risk factors related to bacterial infections upon ICU admission in male patients. OR: Odds Ratio; ∗: p<0.05; ∗∗: p<0.01; ∗∗∗: p<0.001.

Risk factor
MRSA colonization
VRE colonization

Present [n]
Absent [n]
OR
P value
Present [n]
Absent [n]
OR
P value

Age > 65 years
10
208
0.9315
>0.9999
1
219
Infinity
>0.9999

Carmeli’s score
10
161
1.568
0.4675
1
183
Infinity
0.46

Respiratory diseases
5
68
1.669
0.3575
0
67
0
>0.9999

Cardiovascular diseases
8
165
0.96
>0.9999
1
193
Infinity
0.485

Chronic renal failure
0
9
0
>0.9999
0
9
0
>0.9999

Chronic liver diseases
0
21
0
0.6123
0
20
0
>0.9999

Cancer
3
30
2.22
0.1972
0
34
0
>0.9999

Hematologic malignancy
0
1
0
>0.9999
0
2
0
>0.9999

Diabetes mellitus
4
53
1.671
0.3257
0
70
0
>0.9999

Risk factor
ESBL colonization
CRE colonization

Present [n]
Absent [n]
OR
P value
Present [n]
Absent [n]
OR
P value

Age > 65 years
53
352
1.267
0.3101
87
312
1.334
0.1137

Carmeli’s score
46
273
1.497
0.0866
80
246
1.686
0.0039∗∗

Respiratory diseases
15
109
1.015
>0.9999
29
90
1.406
0.168

Cardiovascular diseases
32
312
0.6172
0.0415∗
57
282
0.7463
0.1289

Chronic renal failure
6
10
4.663
0.0074∗∗
7
14
2.117
0.156

Chronic liver diseases
12
20
4.948
0.0001∗∗∗
12
21
2.474
0.022∗

Cancer
9
47
1.455
0.2914
18
51
1.518
0.1538

Hematologic malignancy
1
1
7.432
0.2251
0
2
0
>0.9999

Diabetes mellitus
12
104
0.8257
0.6422
28
90
1.347
0.2105

Table 5: Analysis of risk factors related to bacterial infections upon ICU admission in female patients. OR: Odds Ratio; ∗: p<0.05; ∗∗: p<0.01.

Risk factor
MRSA colonization
VRE colonization

Present [n]
Absent [n]
OR
P value
Present [n]
Absent [n]
OR
P value

Age > 65 years
13
207
1.017
>0.9999
2
241
Infinity
>0.9999

Carmeli score
9
166
0.7349
0.6254
2
189
Infinity
0.5062

Respiratory diseases
6
53
2.217
0.128
1
66
4.121
0.3558

Cardiovascular diseases
11
159
1.275
0.8077
1
176
0.9205
>0.9999

Chronic renal failure
0
4
0
>0.9999
0
5
0
>0.9999

Chronic liver diseases
1
7
2.361
0.3879
0
12
0
>0.9999

Cancer
2
24
1.375
0.6571
1
32
9.563
0.185

Hematologic malignancy
-
-
-
-
-
-
-
-

Diabetes mellitus
3
68
0.6471
0.7734
0
82
0
>0.9999

Risk factor
ESBL colonization
CRE colonization

Present [n]
Absent [n]
OR
P value
Present [n]
Absent [n]
OR
P value

Age > 65 years
50
376
0.8673
0.5843
83
311
0.8217
0.4234

Carmeli score
44
288
1.254
0.3828
64
239
0.8879
0.6051

Respiratory diseases
9
81
0.7726
0.6011
28
74
1.44
0.1472

Cardiovascular diseases
35
277
0.8279
0.4564
49
238
0.5433
0.0038∗∗

Chronic renal failure
4
6
5.024
0.0241∗
4
4
3.624
0.0754

Chronic liver diseases
3
15
1.46
0.472
6
12
1.809
0.2501

Cancer
8
37
1.627
0.2362
10
38
0.9246
>0.9999

Hematologic malignancy
-
-
-
-
-
-
-
-

Diabetes mellitus
19
118
1.217
0.5518
28
108
0.8921
0.7208

The risk assessment of infection at 7 days showed statistical significance for ESBL and CRE in both male and female patients (see Table 6).

Table 6: Analysis of risk factors related to bacterial infections after 7 days. OR: Odds Ratio; ∗: p<0.05; ∗∗∗: p<0.001.

MRSA colonization
VRE colonization

Present [n]
Absent [n]
OR
P value
Present [n]
Absent [n]
OR
P value

Male
3
93
0.6505
0.7801
2
65
11.94
0.0553

Female
4
92
0.6957
0.6163
0
181
0
0.5457

ESBL colonization
CRE colonization

Present [n]
Absent [n]
OR
P value
Present [n]
Absent [n]
OR
P value

Male
50
78
4.79
<0.0001∗∗∗
31
77
1.665
0.031∗

Female
54
72
5.404
<0.0001∗∗∗
47
79
2.104
0.0006∗∗∗

4. Discussion

In this study, we have analysed the incidence and pattern of bacterial colonization including MDR Gram-positive (MRSA, VRE) and Gram-negative (ESBL, CRE) germs in ICU patients upon admission and after 7 days. Multidrug resistance in Enterobacterales and nonfermenting Gram- negative bacilli represent a real challenge to the hospitals or healthcare institutions. Carriage or infections with these isolates can result in compromised treatment options and high mortality rates in patients. Therefore, early detection of infected or colonized patients is compulsory for the best patient management and to prevent the patient-to-patient transmission or environmental contamination. In addition, identifying the risk factors associated with MDR bacterial infections and the most commonly occurring MDR strains may be of use to hospital antimicrobial drug management and the prevention of nosocomial contamination [40]. Most investigations of risk factors for multidrug-resistant strains have been hospital-based and focused on them. The risk factors can be exposure to antibiotics and multidrug-resistant strains in the environment (recent antibiotics and/or hospitalization, history of multidrug-resistant strains, colonization pressure, comorbidity, and dialysis) and special conditions that facilitate colonization and infection (illness severity, wounds, indwelling devices, etc.). Some risk factors have more importance than others, but they can be evaluated and updated. The prevalence and patterns of resistance vary significantly by geographical area, location, size, and facility type, with each institution having a unique pattern. Some hospitals screen all admissions for multidrug-resistant strains colonization. Moreover, an important recommendation is to follow the guidelines regarding the prevention of nosocomial infections. Our institution recently introduced Carmeli’s score for evaluation of risk factors for infections with resistant or multidrug-resistant bacteria and it allows doing a prediction. A better diagnostic information includes culture of the causative pathogen and the screening for them was performed only for one year (2017). Rising rates of Gram-negative multidrug-resistant bacteria have been documented. Therefore, it is essential to collect these data and not to assume that our ICU issues are the same as those reported by others.

The overall MRSA carriage rate of 5.2% found in our study is less than 22.5%, which was reported by Ray et al. [41], and greater than 3%, as reported by other scientists [42, 43]. The slightly higher prevalence of MRSA carriage found in the present study could be explained by the relatively small number of patients examined, and the significantly higher rate of infection in Ray’s report could be due to the multiple sites of sampling which could detect the presence of MRSA with more accuracy. One of the most prevalent sites of MRSA has been reported to be the nose and our data is in agreement with that observation [41]. The incidence of MRSA infection in the ICU was nearly the same as that on admission in the case of male patients, but females were more likely to be affected on admission than being infected in the hospital. We observed that the rate of MRSA eradication during the hospitalization was 100%, which can be attributed to the absence of correlation of the MRSA carriage with different risk factors and to the correctly chosen and applied antibiotic therapy. Previous studies have identified various risk factors for VRE colonization including advanced age, central venous catheterization, extended hospitalization, haematologic malignancies, haemodialysis, exposure to multiple antibiotics, and prolonged duration of antibiotic therapy [44]. Karki et al. in a study detected 17.5% prevalence of VRE colonization on the day of screening [45]. Contrarily, our results show a significantly low rate of VRE colonization upon admission (0.4%), which is slightly higher in female patients. Seven days of ICU stay proved no higher risk of VRE infection regardless of gender. The beta-lactam antimicrobial agents are among the most commonly used classes of antibiotics. Consequently, resistance to β-lactams by production of β-lactamases is the most common cause of resistance to these drugs. Majority of the ESBLs are found in Klebsiella spp. and Escherichia coli [46]. Our study results identified 12.06% prevalence rate for ESBL producers and it correlates well with data from an Iranian report but a Canadian research group found less occurrence in their patient screening study [47, 48]. Regarding ICU stay, we concluded that at least 7 days of admittance poses an approximately five times higher risk of ESBL contamination. According to our results, chronic renal failure and liver diseases might contribute to such high prevalence; however, we also found that more than half of the already ESBL-infected patients staying in the ICU were still carrying the MDR strain after one week of hospital care. As a subclass of beta-lactam antibiotics, the carbapenems are usually applied as spare drugs in the treatment of severe bacterial infections that are resistant to the commonly used antibiotics. The current study showed very high incidence (21.06%) of CRE infection and more in the female than male patients at admission and after 7 days. Upon admittance, more than 10% arrived already carrying the carbapenemase expressing strain, and half of these colonizers were positive to CRE after 7 days. They might have contributed to that during the hospitalization; more than 30% of the CRE-negative patients acquired CRE infection. Apart from hospitalization, chronic liver diseases and Carmeli’s score proved to be a statistically significant risk factor in men, while in the case of women we found a tendency that points to the possible connection of chronic renal failure to CRE infection.

According to our current results, we can report that nosocomial infections can occur in the Intensive Care Unit of Emergency Clinical County Hospital of Oradea. The most common isolates were ESBL and CRE strains, but in comparison Gram-positive MDR bacteria such as MRSA and VRE were detected in a significantly less proportion. It is promising that, in addition to the lower level of colonization, MRSA and VRE were showing a better response to antimicrobial therapy compared to GN MDR bacteria. However, ESBL and CRE pose a difficult problem by either medical or economic reasons. The number of nosocomial GN infections was remarkably high, which can be attributed to the fact that more than half of the originally infected patients remain carriers even after being a week after admittance into intensive care, and it should also be noted that the hospital environment contributes to the selection of strains displaying one or more resistance mechanisms against the antibiotics; therefore we have to prepare for the appearance of more persistent bacteria in the future. We must underline the importance of rational antibiotic strategies, the appropriate personal hygiene and preventive methods, and the consideration of auxiliary medical therapies, such as the application of natural compounds that might offer favourable alternatives based on their antioxidant and disinfectant properties [49, 50]. Finally, the risk factor assessment should be done before selecting empiric antibiotic therapy and it could improve the prognosis of some patients and help the development of infection control policies and procedures, as well as the review of antibiotic utilization and its relationship to local antibiotic resistance patterns, together with the development of guidelines for the rational use of antimicrobial therapy.

5. Conclusion

Our study is in accordance with other findings and supports the importance of identifying and managing risk factors involved in the mechanism of colonization of the human patients with potentially multidrug-resistant pathogenic bacteria during hospitalization, especially in the intensive care unit.

Data Availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare that there are no conflicts of interest.

Authors’ Contributions

Dana Carmen Zaha and Rita Kiss contributed equally to this work.

Acknowledgments

This study was supported by the Ministry of National Development, Hungary (EFOP-3.6.2-16-2017-00009) and by the Higher Education Institutional Excellence Programme of the Ministry of Human Capacities in Hungary, within the framework of the Research and Development on Therapeutic Purposes Thematic Programme of the University of Debrecen (20428-3/2018/FEKUTSTRAT).

References

J. Szilágyi, R. Földi, R. Gesztelyi et al., “Comparison of the kidney fungal burden in experimental disseminated candidiasis by species of the Candida parapsilosis complex treated with fluconazole, amphotericin B and caspofungin in a temporarily neutropenic murine model,” Chemotherapy, vol. 58, no. 2, pp. 159–164, 2012.

A. F. Shorr, “Review of studies of the impact on Gram-negative bacterial resistance on outcomes in the intensive care unit,” Critical Care Medicine, vol. 37, no. 4, pp. 1463–1469, 2009.

L. Puchter, I. F. Chaberny, F. Schwab, R.-P. Vonberg, F.-C. Bange, and E. Ebadi, “Economic burden of nosocomial infections caused by vancomycin-resistant enterococci,” Antimicrobial Resistance and Infection Control, vol. 7, no. 1, 2018.

European Centre for Disease Prevention and Control, “Antimicrobial resistance surveillance in Europe 2012,” Surveillance Report, 2013, https://ecdc.europa.eu/en/publications-data/antimicrobial-resistance-surveillance-europe-2012.

R. Leistner, C. Schröder, C. Geffers, A. Breier, P. Gastmeier, and M. Behnke, “Regional distribution of nosocomial infections due to ESBL-positive Enterobacteriaceae in Germany: data from the german national reference center for the surveillance of nosocomial infections (KISS),” Clinical Microbiology and Infection, vol. 21, no. 3, pp. 255.e1–255.e5, 2015.

Y. Dickstein, R. Nir-Paz, C. Pulcini et al., “Staffing for infectious diseases, clinical microbiology and infection control in hospitals in 2015: results of an ESCMID member survey,” Clinical Microbiology and Infection, vol. 22, no. 9, pp. 812.e9–812.e17, 2016.

S. Karanika, T. Karantanos, M. Arvanitis, C. Grigoras, and E. Mylonakis, “Fecal colonization with extended-spectrum beta-lactamase-producing enterobacteriaceae and risk factors among healthy individuals: a systematic review and metaanalysis,” Clinical Infectious Diseases, vol. 63, no. 3, pp. 310–318, 2016.

J. Rodriguez-Bano, M. D. Navarro, L. Romero et al., “Bacteremia due to extended-spectrum -lactamase-producing Escherichia coli in the CTX-M era: a new clinical challenge,” Clinical Infectious Diseases, vol. 43, no. 11, pp. 1407–1414, 2006.

C. J. Lim, A. C. Cheng, J. Kennon et al., “Prevalence of multidrug-resistant organisms and risk factors for carriage in long-term care facilities: a nested case-control study,” Journal of Antimicrobial Chemotherapy, vol. 69, no. 7, pp. 1972–1980, 2014.

A. Pop-Vicas, E. Tacconelli, S. Gravenstein, B. Lu, and E. M. D'Agata, “Influx of multidrug-resistant, gram-negative bacteria in the hospital setting and the role of elderly patients with bacterial bloodstream infection,” Infection Control & Hospital Epidemiology, vol. 30, no. 4, pp. 325–331, 2009.

R. Ben-Ami, M. J. Schwaber, S. Navon-Venezia et al., “Influx of extended-spectrum beta-lactamase-producing enterobacteriaceae into the hospital,” Clinical Infectious Diseases, vol. 42, no. 7, pp. 925–934, 2006.

A.-P. Magiorakos, A. Srinivasan, R. B. Carey et al., “Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance,” Clinical Microbiology and Infection, vol. 18, no. 3, pp. 268–281, 2012.

H. Nikaido, “Multidrug resistance in bacteria,” Annual Review of Biochemistry, vol. 78, pp. 119–146, 2009.

J. Xie, X. Ma, Y. Huang et al., “Value of american thoracic society guidelines in predicting infection or colonization with multidrug-resistant organisms in critically ill patients,” PLoS ONE, vol. 9, no. 3, Article ID e89687, 2014.

S. Zelencik, D. Schora, A. Fisher et al., “Multidrug-resistant organisms contaminating supply carts of contact isolation patients,” American Journal of Infection Control, vol. 42, no. 10, pp. 1124–1126, 2014.

R. Fouda, M. S. Soliman, M. G. ElAnany, M. Abadeer, and G. Soliman, “Prevalence and risk factors of MRSA, ESBL and MDR bacterial colonization upon admission to an Egyptian medical ICU,” The Journal of Infection in Developing Countries, vol. 10, no. 4, pp. 329–336, 2016.

R. A. Padmanabhan and T. G. Fraser, “The emergence of methicillin-resistant Staphylococcus aureus in the community.pdf>,” Cleveland Clinic Journal of Medicine, vol. 72, no. 3, pp. 235–241, 2005.

T. O'Driscoll and C. Crank, “Vancomycin-resistant enterococcal infections: epidemiology, clinical manifestations, and optimal management,” Infection and Drug Resistance, vol. 8, pp. 217–230, 2015.

R. Gaynes and J. R. Edwards, “Overview of nosocomial infections caused by gram-negative bacilli,” Clinical Infectious Diseases, vol. 41, no. 6, pp. 848–854, 2005.

S. J. Albrecht, N. O. Fishman, J. Kitchen et al., “Reemergence of gram-negative health care–associated bloodstream infections,” JAMA Internal Medicine, vol. 166, no. 12, p. 1289, 2006.

J. D. D. Pitout, “Infections with extended-spectrum beta-lactamase-producing enterobacteriaceae: changing epidemiology and drug treatment choices,” Drugs, vol. 70, no. 3, pp. 313–333, 2010.

P. M. Hawkey, R. E. Warren, D. M. Livermore et al., “Treatment of infections caused by multidrug-resistant gram-negative bacteria: Report of the British society for antimicrobial chemotherapy/healthcare infection society/british infection association joint working party,” Journal of Antimicrobial Chemotherapy, vol. 73, no. 3, pp. iii2–iii78, 2018.

I. Moş, O. Micle, M. Zdrâncǎ, M. Mureşan, and L. Vicaş, “Antibiotic sensitivity of the Escherichia coli strains isolated from infected skin wounds,” Farmacia, vol. 58, no. 5, pp. 637–645, 2010.

J. L. Liscio, M. V. Mahoney, and E. B. Hirsch, “Ceftolozane/tazobactam and ceftazidime/avibactam: Two novel β-lactam/β-lactamase inhibitor combination agents for the treatment of resistant Gram-negative bacterial infections,” International Journal of Antimicrobial Agents, vol. 46, no. 3, pp. 266–271, 2015.

A. L. Mateescu, M. M. Mitache, M. C. Chifiriuc, and T. V. Dimov, “Antibiotic resistance of food-borne enterobacterial strains isolated in Bucharest, Romania,” Romanian Biotechnological Letters, vol. 19, no. 3, pp. 9409–9420, 2014.

J. R. Piet, M. Geldhoff, B. D. van Schaik et al., “Streptococcus pneumoniae arginine synthesis genes promote growth and virulence in pneumococcal meningitis,” The Journal of Infectious Diseases, vol. 209, no. 11, pp. 1781–1791, 2014.

M. Otto, “Staphylococcus colonization of the skin and antimicrobial peptides,” Expert Review of Dermatology, vol. 5, no. 2, pp. 183–195, 2014.

K. Chiller, B. A. Selkin, and G. J. Murakawa, “Skin microflora and bacterial infections of the skin,” Journal of Investigative Dermatology Symposium Proceedings, vol. 6, no. 3, pp. 170–174, 2001.

W. C. Huskins, C. M. Huckabee, N. P. O'Grady et al., “Intervention to reduce transmission of resistant bacteria in intensive care,” The New England Journal of Medicine, vol. 364, no. 15, pp. 1407–1418, 2011.

S. B. Glick, D. J. Samson, E. S. Huang et al., “Screening for methicillin-resistant Staphylococcus aureus: a comparative effectiveness review,” The American Journal of Infection Control, vol. 42, no. 2, pp. 148–155, 2014.

C. Williams and D. Wheeler, “Criteria for ICU admission and severity of illness scoring,” Surgery, vol. 27, no. 5, pp. 201–206, 2009.

J. L. Gall, P. Loirat, A. Alperovitch et al., “A simplified acute physiology score for ICU patients,” Critical Care Medicine, vol. 12, no. 11, pp. 975–977, 1984.

J.-R. Le Gall, S. Lemeshow, and F. Saulnier, “A new simplified acute physiology score (SAPS II) based on a European/North American multicenter study,” The Journal of the American Medical Association, vol. 270, no. 24, pp. 2957–2963, 1993.

A. Haq, S. Patil, A. L. Parcells, and R. S. Chamberlain, “The simplified acute physiology score III is superior to the simplified acute physiology score II and acute physiology and chronic health evaluation II in predicting surgical and ICU mortality in the 'oldest old',” Current Gerontology and Geriatrics Research, vol. 2014, Article ID 934852, 9 pages, 2014.

R. A. Rusu, D. Sirbu, D. Curseu et al., “Chemotherapy-related infectious complications in patients with Hematologic malignancies,” Journal of Research in Medical Sciences, vol. 23, p. 68, 2018.

Y. Carmeli, “Strategies for managing today's infections,” Clinical Microbiology and Infection, vol. 14, pp. 22–31, 2008.

O. Streinu-Cercel, “Expected sensitivity to antibiotics in bacterial infections,” Germs, vol. 3, no. 1, p. 7, 2013.

A. Slavcovici, A. Streinu-Cercel, D. Ţăţulescu et al., “The role of risk factors 'carmeli score' and infective endocarditis classification in the assessment of appropriate empirical therapy,” Therapeutics, Pharmacology and Clinical Toxicology, vol. XIII, no. 1, pp. 52–56, 2009.

K. Van Der Zwaluw, A. De Haan, G. N. Pluister, H. J. Bootsma, A. J. De Neeling, and L. M. Schouls, “The Carbapenem Inactivation Method (CIM), a simple and low-cost alternative for the carba NP test to assess phenotypic carbapenemase activity in Gram-negative rods,” PLoS ONE, vol. 10, no. 3, Article ID e0123690, 2015.

A. C. Kalil, M. L. Metersky, M. Klompas et al., “Management of adults with hospital- acquired and ventilator-associated pneumonia: clinical practice guidelines by the infectious diseases society of america and the american thoracic society,” Clinical Infectious Diseases, vol. 63, no. 5, pp. e61–e111, 2016.

P. Ray and R. Singh, “Methicillin-resistant Staphylococcus aureus carriage screening in intensive care,” Indian Journal of Critical Care Medicine, vol. 17, no. 4, pp. 205-206, 2013.

M. Wassenberg, J. Kluytmans, S. Erdkamp et al., “Costs and benefits of rapid screening of methicillin-resistant Staphylococcus aureus carriage in intensive care units: a prospective multicenter study,” Critical Care, vol. 16, no. 1, p. R22, 2012.

R. Porter, K. Subramani, A. N. Thomas, and P. Chadwick, “Nasal carriage of Staphylococcus aureus on admission to intensive care: incidence and prognostic significance,” Intensive Care Medicine, vol. 29, no. 4, pp. 655–658, 2003.

S. DeLisle and T. M. Perl, “Vancomycin-resistant enterococci: a road map on how to prevent the emergence and transmission of antimicrobial resistance,” Chest, vol. 123, no. 5, pp. 504S–518S, 2003.

S. Karki, L. Houston, G. Land et al., “Prevalence and risk factors for VRE colonisation in a tertiary hospital in Melbourne, Australia: A cross sectional study,” Journal of Antimicrobial Resistance & Infection Control, vol. 1, no. 1, p. 31, 2012.

S. Z. Kassakian and L. A. Mermel, “Changing epidemiology of infections due to extended spectrum beta-lactamase producing bacteria,” Antimicrobial Resistance and Infection Control, vol. 3, no. 1, p. 9, 2014.

G. G. Zhanel, M. DeCorby, N. Laing et al., “Antimicrobial-resistant pathogens in intensive care units in Canada: results of the canadian national intensive care unit (CAN-ICU) study, 2005-2006,” Antimicrobial Agents and Chemotherapy, vol. 52, no. 4, pp. 1430–1437, 2008.

H. Zandi, S. M. Tabatabaei, F. Ehsani, M. Babaei Zarch, and S. Doosthosseini, “Frequency of Extended-Spectrum Beta-lactamases (ESBLs) in strains of Klebsiella and E. coli isolated from patients hospitalized in Yazd,” Electronic Physician, vol. 9, no. 2, pp. 3810–3815, 2017.

T. Jurca, I. Baldea, G. A. Filip et al., “The effect of Tropaeolum majus L. on bacterial infections and in vitro efficacy on apoptosis and DNA lesions in hyperosmotic stress,” Journal of Physiology and Pharmacology, vol. 69, no. 3, 2018.

A. Pallag, G. A. Filip, D. Olteanu et al., “Equisetum arvense L. extract induces antibacterial activity and modulates oxidative stress, inflammation, and apoptosis in endothelial vascular cells exposed to hyperosmotic stress,” Oxidative Medicine and Cellular Longevity, vol. 2018, Article ID 3060525, 14 pages, 2018.