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Avicenna Journal of Clinical Microbiology and Infection. 9(2):70-76. doi: 10.34172/ajcmi.2022.11

Original Article

The Relationship Between Positive Cultures With Multidrug-Resistant Microorganisms and Mortality in a General Intensive Care Unit

Bahareh Marghoob 1 ORCID logo, Malihe Khosravi-Khezri 2, * ORCID logo

Author information:
1Department of Nephrology, Hasheminejad Kidney Center, Iran University of Medical Sciences, Tehran, Iran
2Department of Clinical Pharmacy, Hasheminejad Kidney Center, Iran University of Medical Sciences, Tehran, Iran

*Corresponding author: Malihe Khosravi-Khezri, Hasheminejd Kidney Center, Vali-Nejad Street, Vanak Square Vali-e-Asr Boulevard, Tehran, Iran. Tel: +982181161 Fax: 88644497 Email: malihe1989khosravi@gmail.com

Abstract

Aim: The patients in the intensive care unit (ICU) are more susceptible to healthcare-associated infections (HAI). Higher rates of nosocomial infections in ICU patients are associated with higher morbidity, mortality, and costs. The primary outcome of our study was to investigate the relationship between antibiotic resistance and mortality in ICU patients, and the secondary outcome was to evaluate the relationship between antibiotic resistance and the length of ICU or hospital stay.

Methods: A 5-year observational retrospective study was conducted on patients in the ICU of Hasheminejad Kidney Center affiliated with Iran University of Medical Sciences, Tehran, Iran from January 1, 2015, to January 1, 2020. The data related to age, gender, admission type, comorbidities, length of ICU stay, length of hospital stay, infection source, microorganism type, and resistance pattern of all isolates and outcomes were collected based on the study purpose.

Results: During the 5-year study, 2899 patients were admitted to the ICU, but only 747 patients were enrolled in the study, including 426 males (57%). The median age was 65 years (19-97 years). The mean length of ICU stay was greater in culture-positive patients (8.42 vs. 3.5 days, P>0.001). Culture-positive patients had significantly higher mortality compared to culture-negative patients (63.8% vs. 36.2%, P>0.001). In our study, it was found that resistant microorganisms have increased mortality by 2.6 times in the ICU in the crude model (OR: 2.6, P>0.001).

Conclusion: The findings of our study suggest that multidrug-resistant pathogens increase ICU stay and mortality.

Keywords: Intensive Care Unit, Mortality, Resistant microorganisms

Copyright and License Information

© 2022 The Author(s); Published by Hamadan University of Medical Sciences.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.

Please cite this article as follows: Marghoob B, Khosravi Khezri M. The relationship between positive cultures with multidrug-resistant microorganisms and mortality in a general intensive care unit. Avicenna J Clin Microbiol Infect. 2022; 9(2):70-76. doi:10.34172/ajcmi.2022.11


Introduction

The patients in the intensive care unit (ICU) are more susceptible to healthcare-associated infections (HAI) because of the dysregulation of the immune response and host defense reduction, invasive procedures (mechanical ventilation, vascular access, and urinary catheter), more severe disease, and broad-spectrum antibiotics administration. Higher rates of nosocomial infections in ICU patients are related to higher morbidity, mortality, and costs (1-3).

The occurrence of resistant infections such as methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant Enterococcus (VRE), extended-spectrum beta-lactamases (ESBL)-producing Enterobacteriaceae, and carbapenem-resistant Enterobacteriaceae, especially in the ICU has increased in recent years. These resistant infections have negative effects on patient survival (1-3).

Microorganisms such as MRSA,methicillin-resistant Staphylococcus epidermidis (MRSE),VRE,andESBL-producing Enterobacteriaceae are considered resistant.

Multi-drug resistance (MDR) organism is determined by resistance to at least one agent in three or more antimicrobial categories. Extensive drug resistance is defined as resistance to at least one agent in all but two or fewer antimicrobial categories (i.e., bacterial isolates remain susceptible to only one or two categories), and pan-drug resistance (PDR) is referred to as non-susceptibility to all agents in all antimicrobial categories (4).

It is estimated that about 650 000 people in the United States develop nosocomial infections each year, of which 20% are caused by resistant microorganisms (5,6).

Several studies demonstrated that patients admitted to the ICU who are undergoing invasive procedures are more infected with resistant microorganisms (1,7). This can increase mortality by up to 70% in ICU patients (2,8,9).

In recent years, overuse and misuse of antibiotics have led to antibiotic resistance in various countries, which is a major threat to the world (3). It is estimated that approximately 20%-50% of all antibiotics and 30% of antibiotic use in United States acute care hospitals are unnecessary or ineffective (10,11). Every year, at least 2.8 million people become infected with antibiotic-resistant infections in the United States, and more than 35 000 people die accordingly (12). The treatment of resistant infections is difficult and costly.

Infections caused by resistant microorganisms are associated with increased mortality and hospitalization (13,14).

Optimizing antibiotic prescription using antibiotic stewardship programs can reduce antibiotic resistance and improve the cure rate.

In Iran, antimicrobial resistance is a serious problem and there is no complete antimicrobial monitoring system for data gathering, analysis, and decision-making in this regard. It is important to determine the local antibiotic resistance pattern in each center because it helps prescribe more appropriate antibiotics.

The aim of our study was to investigate the association between resistant microorganisms and length of ICU stay and mortality. In addition, we determined the pattern of antibiotic resistance of more frequent infections at our ICU center. It was hypothesized that ICU stay and mortality rates were higher in patients with resistant infections.


Methods

We performed a 5-year observational retrospective study. All adult patients (≥18 years) admitted to the general ICU (6 beds) of Hasheminejad Kidney Center affiliated to Iran University of Medical Sciences, Tehran, Iran from January 1, 2015 to January 1, 2020 enrolled in the study. The inclusion criterion was to have at least one microbial culture during their stay in the ICU. On the other hand, patients with incomplete or missing data were excluded from the study.

Patient characteristics were retrospectively collected, including age, gender, admission type, comorbidities, length of ICU stay, length of hospital stay, infection source, microorganism type, and resistance pattern of all isolates and outcomes.

The samples of blood, urine, trachea/sputum, catheter, wound, and other bodily fluids and tissues with a clinical suspicion of infection were taken for testing. If the patients had more than one positive culture from different sites, it was considered a separate infection.

Statistical analyses were performed using SPSS-21 software. Data were reported as the mean or median, as well as frequencies or percentages for quantitative and qualitative variables, respectively.

Bivariate analyses were performed to indicate the associations between infection by resistant pathogens and death. Then, multivariate logistic regression models were developed to identify multiple variables associated with our outcome. Moreover, the association between length of ICU stay and death was assessed using a bivariate model. Ultimately, multiple covariates in multivariate analyses were tested to assess whether there were any associations between these variables and the outcome.

The odds ratios (ORs) with 95% confidence intervals estimated from the beta coefficients, were calculated, and P > 0.05 was considered statistically significant.


Results

During the 5-year study, 2899 patients were admitted to the ICU, but only 747 patients were enrolled in the study. They included 426 males (57%). The median age was 65 years (19-97 years, Table 1).


Table 1. Demographic Data and Clinical Features of ICU Patients
Characteristic, No. (%) Patients (N=747)
Age (y) 65 (19-97)
Gender
Male 426 (57%)
Female 321 (43%)
Admission category
Nephrology 492 (66)
Urology 200 (26.8)
Surgery 14 (1.9)
Missing 40 (5.4)
Comorbidities
Hypertension 168 (22.5)
Diabetes mellitus 162 (21.7)
End-stage kidney disease 218 (29.2)
Heart disease 132 (17.7)
Chronic kidney disease 122 (16.3)
Malignancy 102 (13.7)
Transplantation 55 (7.4)
Obstructive uropathy 127 (17)
Neurologic disorders 22 (3)
Glomerulonephritis 23 (3.1)
Other 126 (16.9)

Note. ICU: Intensive care unit.

The mean patient age in culture-positive and culture-negative groups was 65 and 62 years, respectively (Table 1). Two hundred and twenty-seven (60.85%) and 198 (53.22%) patients in the culture-positive and culture-negative groups were males, respectively (Table 2).


Table 2. Major Clinical and Demographic Characteristic of Patients With Negative and Positive Culture Results
Culture Status P Value
Culture + Culture -
No. (%) No. (%)
Age (mean) 65 62 0.017
Gender
Male 227 (60.69) 198 (53.08) 0.035
Female 147 (39.30) 175 (46.91)
Hospital stay (day) 17.04 10.54  > 0.001
ICU stay (day) 8.42 3.50  > 0.001
Admission type
Nephrology 237 (48.2) 255 (51.8) 0.15
Urology 110 (55) 90 (45)
Surgery 9 (64.3) 5 (35.7)
Outcome
Live 205 (42.5) 277 (57.5)  > 0.001
Dead 169 (63.8) 96 (36.2)
Year
2015 88 (49.2) 91 (50.8) 0.22
2016 68 (48.6) 72 (51.4)
2017 75 (47.2) 84 (52.8)
2018 82 (49.4) 84 (50.6)
2019 61 (59.2) 42 (40.8)

Note. ICU: Intensive care unit.

During the study period, 374 patients (50.1%) developed at least one culture positive. Of them, 138 (18.45%), 116 (15.5%), 167 (22.3%), 49 (6.5%), and 20 (2.6%) cases had positive blood culture, positive urine culture, positive culture related to the respiratory tract, positive catheter culture, and positive wound culture, respectively.

Two hundred and sixty-five patients (35.5%) died during hospital admission. The overall mortality in different years is indicated in Table 3.


Table 3. Overall Mortality, ICU Stay, Hospital Stay, and Infection Site by Years
Year
2015 2016 2017 2018 2019
Patients in the ICU (N) 179 140 159 166 103
In-hospital mortality (%) 36.9 43.6 32.1 31.3 34
ICU stay, days (median) 3 (0.5-60) 2 (0.5-88) 3 (0.5-119) 3 (0.5-63) 4 (0.5-63)
Hospital stay, days (median) 8.9 (2-60.8) 8.9 (2-89.17) 9.4 (2-122.3) 8.9 (2-72.75) 11.38 (2-82.88)
Infection site, No. (%)
Blood 28 (15.6) 21 (15) 24 (15.1) 24 (14.5) 15 (14.6)
Urine 21 (11.7) 24 (17.1) 19 (11.9) 18 (10.8) 15 (14.6)
Trachea/sputum 35 (19.6) 32 (22.9) 29 (18.2) 24 (14.5) 24 (23.3)
Catheter 7 (3.9) 8 (5.7) 6 (3.8) 10 (6) 6 (5.8)
Wound 3 (1.7) 3 (2.1) 0 (0) 5 (3) 5 (4.9)
Others 15 (8.4) 13 (9.3) 20 (12.6) 12 (7.2) 10 (9.7)

Note. ICU: Intensive care unit.

Five hundred and seventy-one microorganisms were isolated of whom 458 (80.2%) cases were considered MDR. The most frequently isolated organisms were E. coli (24%), Acinetobacter baumannii (19%), Klebsiella pneumonia (16%), Staphylococcus epidermidis (13%), and Staphylococcus aureus (11%). The distribution of various microorganisms is illustrated in Figure 1.

ajcmi-9-70-g001
Figure 1.

Microorganisms Isolated From ICU Patients. Note. ICU: Intensive care unit.


The mean length of ICU stay was greater in culture-positive patients compared to culture-negative patients (8.42 vs. 3.5 days, P > 0.001). In addition, culture-positive patients had significantly higher mortality in comparison to culture-negative patients (63.8% vs. 36.2%, P > 0.001).

Microbial isolates collected from any sources are presented in Table 4. We evaluated the variations in the frequency of microorganisms and MDR isolates for 5 years. Figures 2 and 3 display the trend of microorganism frequencies and MDR pathogens over 5 years. The incidence of MDR isolates had variations across the study period. For example, the incidence of A. baumannii PDR decreased over years, but that of VRE incidence represented an increase. The incidence of other MDR pathogens did not have any significant changes.


Table 4. Most Frequent Microorganisms Obtained in ICU Patients From Different Samples
Blood Urine Tracheal/Sputum Catheter Wound Other Total
Escherichia coli
Sensitive 4 7 2 0 0 7 20
ESBL 27 36 18 5 2 27 115
Staphylococcus aureus
MSSA 5 0 4 7 1 3 20
MRSA 11 6 16 4 1 3 41
Staphylococcus epidermidis
MSSE 20 3 6 8 1 4 42
MRSE 11 6 8 5 0 2 32
Klebsiella pneumoniae
Sensitive 0 1 0 1 0 1 3
KPC 23 19 27 3 5 13 90
PDR 0 0 1 0 0 0 1
Acinetobacter baumannii
Sensitive 0 0 2 0 0 0 2
ESBL 1 1 5 3 1 0 11
PDR 16 9 50 7 4 9 95
Enterococcus
Sensitive 2 9 5 1 0 3 20
VRE 6 7 3 1 3 1 21
Pseudomonas aeruginosa
Sensitive 1 2 2 1 0 0 6
ESBL 5 6 7 0 1 3 22
PDR 5 3 9 3 1 4 25
Enterobacter
Sensitive 0 0 0 0 0 0 0
ESBL 1 1 2 0 0 1 5
Total 138 116 167 49 20 81 571

Note. ICU: Intensive care unit. ESBL: Extended-spectrum beta-lactamase; MSSA: Methicillin-sensitive Staphylococcus aureus; MRSA: Methicillin-resistant Staphylococcus aureus; SE: Staphylococcus epidermidis; MSSE: Methicillin-sensitive Staphylococcus epidermidis; MRSE: Methicillin-resistant Staphylococcus epidermidis; KPC: Klebsiella pneumoniae carbapenemase, PDR: Pandrug-resistance; VRE: Vancomycin-resistant enterococcus.

ajcmi-9-70-g002
Figure 2.

Annual Changing of Microorganisms Frequencies in ICU. Note. ICU: Intensive care unit.


ajcmi-9-70-g003
Figure 3.

Annual Changing of MDR Microorganisms Frequencies in ICU. Note. MDR: Multidrug-resistant; ICU: Intensive care unit.


In our center’s laboratory, the criteria of the Clinical and Laboratory Standards Institute (CLSI) are used to assess the susceptibility to antimicrobial agents.

In the current study, it was demonstrated that resistant microorganisms have increased mortality by 2.6 times in the ICU in the crude model (OR: 2.6, P > 0.001). In the multivariate regression analysis, the initial OR has changed in the presence of urinary tract infection and pneumonia (OR: 2.92, OR: 1.6, respectively).

In the final multivariate regression analysis, in the presence of urinary tract infection and pneumonia, resistant microorganisms have increased mortality by 1.7 times in the ICU (Table 5).


Table 5. Multivariate Analysis to Identify Variables Associated With Mortality Caused by Resistance Microorganisms Using Logistic Regression
B SE Wald df P Value OR
Step 1a Resistance 0.571 0.202 8.026 1 0.005 1.770
Respiratory tract 1.401 0.214 42.816 1 0.000 4.059
Urine -0.188 0.257 .539 1 0.463 0.828
Constant -1.040 0.102 104.477 1 0.000 0.353

Note. OR: Odds ratio, SE, standard error.

a Variable(s) entered on step 1: Resistance, respiratory tract, and urine.

The β of the length of ICU stay on death in a crude model was 0.074 and changed in the multivariate regression analysis model in the presence of pneumonia (β = 0.041, Table 6).


Table 6. Multivariate Analysis to Identify Variables Associated With Mortality Caused by ICU Stay Using Logistic Regression
B SE Wald df P Value Exp(B)
Step 1a ICU stay (day) .041 .013 10.438 1 .001 1.042
Respiratory tract 1.259 .223 31.889 1 .000 3.521
Constant -1.129 .108 109.827 1 .000 .323

Note. ICU: Intensive care unit, SE, standard error.

aVariable(s) entered on step 1: ICU stay (day) and respiratory tract.


Discussion

Antibiotic resistance is an important problem throughout the world, especially in the healthcare settings such as hospitals. Knowing the local resistance pattern is of great value in guiding empiric antimicrobial therapy and infection control. Infections caused by resistant microorganisms are difficult to treat because there are limited effective antimicrobial alternatives. Furthermore, it is associated with more hospital stays and mortality (15,16).

In agreement with other studies (5,17,18), the most prevalent positive culture in our study was culture related to the respiratory tract.

In our study, it was found that more than 50% of ICU patients had at least one positive culture. The most prevalent and resistant microorganisms were E. coli and A. baumannii, respectively. The results of our study conform to those of several studies in Iran (19,20) and other countries (21,22), confirming that E. coli was the most common pathogen. Our findings are in concordance with the results of Saxena et al, indicating that most of the Acinetobacter and Klebsiella species were MDR (2).

In our survey, 80.2% of isolates were MDR, which is more than the MDR pathogen rate reported by Cornejo-Juárez et al (1). This can be due to excessive and irrational administration of antibiotics and delays in the initiation of effective and appropriate antimicrobial therapy in our community.

In the present study, the net number of resistant isolates (E. coli ESBL, MRSA, MDR Acinetobacter, and Klebsiella pneumoniae carbapenemase) reduced slightly over 5 years, which is probably due to the more organized antibiotic prescription and curbing inappropriate use of broad-spectrum antibiotics.

The ICU mortality is high and had been reported from 9% to 38% (23). This mortality rate can increase up to 70% in patients with infections caused by resistant pathogens (24).

In our study, in-hospital mortality was 35.5%. The ICU mortality was reported at 40.3% in patients with antimicrobial resistance infections in the study of Lakbar et al (25), which is compatible with the results of Colpan et al (24).

In another study on patients with hematological malignancy admitted to the ICU, in-hospital mortality was reported at 46% (26). The higher mortality rate can be due to the underlying disease of patients. Furthermore, in the study performed on patients admitted to surgical ICU, Saxena et al indicated that the overall mortality was 28%, and only 4 patients died due to infectious causes (2).

According to our results, mortality was significantly more frequent in culture-positive patients (63.8%) compared to culture-negative patients (36.2%, P > 0.001), which is in line with the findings of a multicenter study in Brazil (27) and the study of Toufen et al (28). Moreover, the ICU stay (8.42 vs. 3.5 days) and hospital stay (17.04 vs. 10.54 days) were significantly longer in the culture-positive group (P > 0.001). Similarly, Vincent et al and Blot et al identified a strong relationship between infection with ICU stay and hospital stay (27,29).

In the present study, it was observed that positive culture related to the respiratory tract increases mortality, which corroborates with the results of previous studies (25,30). Bonnet et al (16) demonstrated that 51.7% of patients with lung infections died and pulmonary infections increased the length of stay (P > 0.001). However, the reason is not clear.

The relationship between resistant pathogens and mortality is debated in various studies. We found that MDR microorganisms increased mortality by 2.6 folds. Some studies have revealed an association between resistant isolates and mortality (1,16,24,31-37), whereas other studies did not report such an association (29,38-41). Although the reason is unclear, it might be partly due to the low sample size of studies and differences in the study population. The higher mortality in the resistant group could be due to more virulence of resistant microorganisms or inappropriate empiric antibiotic treatment.


Conclusion

In general, the findings of our study suggest that MDR pathogens increase ICU stay and mortality. As a result, prevention and treatment strategies and rational administration of antibiotics to prevent the development of resistant microorganisms are highly important.


Acknowledgments

We would like to thank Dr. Taghvaye-Masoumi for his guidance and Dr. Mohsen Shatti for data analysis. We also appreciate the nurses of the general ICU of Hasheminejad Kidney Center for their support.


Authors’ Contribution

BM contributed to data gathering. MKK participated in idea, study design, data collection, and manuscript drafting and finalizing. All authors read and approved the final manuscript.


Conflict of Interests

There is no conflict of interests.


Ethical Approval

This study has been approved by local committee of Hasheminejad Kidney Center, Iran University of Medical Sciences.


Funding

Nil.


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