Literature DB >> 26703094

Polymicrobial intensive care unit-acquired pneumonia: prevalence, microbiology and outcome.

Miquel Ferrer1,2,3, Leonardo Filippo Difrancesco4,5, Adamantia Liapikou6,7, Mariano Rinaudo8, Marco Carbonara9,10, Gianluigi Li Bassi11,12,13, Albert Gabarrus14,15, Antoni Torres16,17,18.   

Abstract

BACKGROUND: Microbial aetiology of intensive care unit (ICU)-acquired pneumonia (ICUAP) determines antibiotic treatment and outcomes. The impact of polymicrobial ICUAP is not extensively known. We therefore investigated the characteristics and outcomes of polymicrobial aetiology of ICUAP.
METHOD: Patients with ICUAP confirmed microbiologically were prospectively compared according to identification of 1 (monomicrobial) or more (polymicrobial) potentially-pathogenic microorganisms. Microbes usually considered as non-pathogenic were not considered for the etiologic diagnosis. We assessed clinical characteristics, microbiology, inflammatory biomarkers and outcome variables.
RESULTS: Among 441 consecutive patients with ICUAP, 256 (58%) had microbiologic confirmation, and 41 (16%) of them polymicrobial pneumonia. Methicillin-sensitive Staphylococcus aureus, Haemophilus influenzae, and several Enterobacteriaceae were more frequent in polymicrobial pneumonia. Multi-drug and extensive-drug resistance was similarly frequent in both groups. Compared with monomicrobial, patients with polymicrobial pneumonia had less frequently chronic heart disease (6, 15% vs. 71, 33%, p = 0.019), and more frequently pleural effusion (18, 50%, vs. 54, 25%, p = 0.008), without any other significant difference. Appropriate empiric antimicrobial treatment was similarly frequent in the monomicrobial (185, 86%) and the polymicrobial group (39, 95%), as were the initial response to the empiric treatment, length of stay and mortality. Systemic inflammatory response was similar comparing monomicrobial with polymicrobial ICUAP.
CONCLUSION: The aetiology of ICUAP confirmed microbiologically was polymicrobial in 16% cases. Pleural effusion and absence of chronic heart disease are associated with polymicrobial pneumonia. When empiric treatment is frequently appropriate, polymicrobial aetiology does not influence the outcome of ICUAP.

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Year:  2015        PMID: 26703094      PMCID: PMC4699341          DOI: 10.1186/s13054-015-1165-5

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


Background

Intensive care unit (ICU)-acquired pneumonia (ICUAP) is the leading infection in critically-ill patients, accounting for prolonged mechanical ventilation and length of stay, and poor outcome [1-4]. The use of inappropriate initial antibiotic therapy is a major determinant of mortality in patients with ICUAP [5], emphasizing the importance of a timely and accurate therapy for this infection [6]. For this reason, it is often necessary to use a combination of broad-spectrum empiric antibiotics, particularly in patients who are at risk for difficult-to-treat bacteria [7, 8]. Recent investigations have shown that multi-drug-resistant (MDR) or high-risk pathogens have been isolated in around half of patients with an episode of ventilator-associated pneumonia (VAP) or ICUAP confirmed microbiologically [9, 10]. ICUAP, and particularly VAP, can be caused by more than one microbial pathogen. Multiple etiologic pathogens are potentially an additional challenge for achieving appropriate antimicrobial treatment in these patients. A previous study reported a 48 % rate of polymicrobial etiology in episodes of VAP with microbiologic confirmation [11]. These authors concluded that the epidemiology and outcomes of patients with monomicrobial and polymicrobial VAP did not differ significantly. However, in this study, a substantial proportion of episodes classified as polymicrobial VAP had positive isolation of bacteria usually considered as non-pathogenic microorganisms. Moreover, between 15 % and 73 % patients with an episode of ICUAP are not previously intubated [2, 12, 13], namely non-ventilator ICUAP (NV-ICUAP). To our knowledge, no previous studies have comprehensively assessed polymicrobial ICUAP strictly considering the identification of potentially pathogenic microorganisms (PPM). We have recently shown that positive microbiology is associated with worse outcomes in patients with clinical diagnosis of ICUAP [14]. Therefore, whether patients with polymicrobial etiology of ICUAP have different characteristics and outcomes to those with monomicrobial etiology is unknown. We therefore investigated the incidence, characteristics, risk factors, systemic inflammatory response and outcomes of polymicrobial, compared with monomicrobial, etiology of ICUAP.

Methods

Study population

The study was conducted between October 2004 and September 2013 in six medical and surgical ICUs, comprising 45 beds, at Hospital Clinic, Barcelona, Spain, an 800-bed university hospital. The investigators made daily rounds in each ICU. Patients older than 18 years, admitted to these ICUs for 48 h or more, with clinical diagnosis of ICUAP were consecutively enrolled in the study, and this being only the first episode, were analyzed. Exclusion criteria were: 1) severe immune suppression (neutropenia after chemotherapy or hematopoietic transplant, drug-induced immune suppression in solid-organ transplant or cytotoxic therapy, and patients with human immunodeficiency virus) and 2) absence of microbiologic confirmation. The institution’s Internal Review Board approved the study (Comite Etic d’Investigacio Clinica, registry number 2009/5427) and written informed consent was obtained from patients or their next of kin.

Definition of pneumonia, microbiologic processing, and antimicrobial treatment

Clinical diagnosis of ICUAP was based on clinical criteria: new or progressive radiological pulmonary infiltrate together with at least two of the following: temperature >38 °C or <36 °C, leukocytosis >12,000/mm3 or leukopenia <4,000/mm3, and purulent respiratory secretions [1, 15, 16]. Non-ventilated ICUAP was defined when patients acquired pneumonia after more than 48 h of ICU admission and without previous mechanical ventilation [2]. We considered VAP in patients with previous invasive mechanical ventilation for 48 h or more. Early-onset pneumonia was defined as occurring within the first 4 days of hospitalization [1]. The microbiologic evaluation included the collection of at least one lower respiratory tract sample: sputum in non-ventilated patients, tracheobronchial aspirates (TBAS) in intubated patients, and/or bronchoscopic [17] or blind bronchoalveolar lavage (BAL) [18], whenever possible, within the first 24 h of inclusion [19]. Bronchoscopic BAL and blind BAL were performed as previously described [19]. The same sampling method was performed on the third day if clinically indicated. Blood cultures and cultures from pleural fluid, if puncture was indicated, were also taken. Urinary antigens of Legionella pneumophila and Streptococcus pneumoniae were systematically collected. Microbiologic confirmation of pneumonia was defined by the presence of at least one PPM in respiratory samples above predefined thresholds (BAL >104, sputum or TBAS >105 colony-forming units/mL, respectively), in pleural fluid or in blood cultures if an alternative cause of bacteremia was ruled out [20, 21]. Drug resistance of pathogens was defined according to a recent report [22]. MDR pathogens were defined as acquired non-susceptibility to at least one agent in three or more antimicrobial categories. Extensive drug resistance (XDR) was defined as non-susceptibility 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). Pan drug resistance (PDR) was defined as non-susceptibility to all agents in all antimicrobial categories. We considered methicillin-resistant Staphylococcus aureus (MRSA), and Enterobacteriaceae producing extended-spectrum β-lactamase as MDR pathogens [9]. Monomicrobial and polymicrobial pneumonia were defined when one and more than one PPM, respectively, were identified as etiologic agents at onset of pneumonia. Isolation of Candida spp, Streptococcus viridans, Staphylococcus epidermidis, Neisseria spp, Enterococcus spp, and Corynebacterium spp in lower respiratory tract samples were not considered etiologic agents. The initial empiric antimicrobial treatment was administered according to local adaptation of the American Thoracic Society/Infectious Disease Society of America guidelines [1], based on the most frequently isolated PPM and their patterns of antimicrobial sensitivity in our institution, and subsequently revised according to the microbiologic results. The empirical antimicrobial treatment was considered appropriate when the isolated pathogens were susceptible in vitro to at least one of the antimicrobials administered at an adequate dose [8]. We assessed the initial response to treatment after 72 to 96 h of antimicrobial treatment, as previously described [23, 24]. Non-response was considered when at least one of the following criteria were present: 1) no improvement of the arterial O2 tension to inspired O2 fraction ratio or need for intubation because of pneumonia (defined as need for intubation after 24 h from the beginning of antibiotics); 2) persistence of fever (temperature ≥38 °C) or hypothermia (<35.5 °C) together with purulent respiratory secretions; 3) increase in the pulmonary infiltrates on chest radiograph ≥50 %; or 4) occurrence of septic shock or multiple organ dysfunction syndrome, defined as three or more organ system failures not present on day 1.

Assessment of systemic inflammatory response

We evaluated the serum levels of interleukin (IL)-6, IL-8, tumor necrosis factor-alpha (TNF-alpha), C-reactive protein, procalcitonin and mid-regional pro-adrenomedullin within the first 24 h after the diagnosis of pneumonia. All methods of these analyses have been recently described in detail [25, 26].

Data collection

All relevant data were collected at admission and at onset of pneumonia from the medical records and bedside flow charts, including laboratory, radiologic and microbiologic information. We calculated the acute physiology and chronic health evaluation (APACHE)-II score [27] and the simplified acute physiology score (SAPS)-II [28] on ICU admission. The simplified clinical pulmonary infectious score (CPIS) [29] and the sepsis-related organ failure assessment (SOFA) [30] scores were also evaluated on ICU admission and up to 9 days after the onset of pneumonia. Septic shock [31] and acute respiratory distress syndrome (ARDS) [32] were defined according to previously described criteria. Patients were followed until death or up to 90 days after the diagnosis of pneumonia.

Outcome variables

The outcomes of patients with monomicrobial pneumonia were compared to those with polymicrobial pneumonia. The primary outcome variable was mortality at 90 days after the diagnosis of ICUAP. Secondary outcomes included initial non-response to treatment, length of ICU and hospital stay, ventilator-free days at day 28 [33], and mortality at 28 days.

Statistical analysis

Categorical and continuous data are presented as number (percentage) and as mean ± SD (or median (inter-quartile range)), respectively. Categorical variables were compared with the chi square (χ2) test or the Fisher exact test. Quantitative continuous variables were compared using the t test or the Mann–Whitney test for normally and non-normally distributed variables, respectively. Survival curves for patients with monomicrobial and polymicrobial pneumonia were obtained using the Kaplan-Meier method and compared using the log-rank test. The association between polymicrobial or monomicrobial etiology and patients’ outcomes was adjusted for variables potentially related to mortality, such as age, APACHE-II and SAPS scores at ICU admission, SOFA score, CPIS and arterial partial pressure of oxygen/inspired oxygen fraction (PaO2/FiO2) ratio at onset of pneumonia, VAP or NV-ICUAP, and unilateral or bilateral chest x-ray infiltrates. We used Cox proportional hazard regression analysis for 28-day and 90-day mortality. All reported P values are two-sided and not adjusted for multiple comparisons. A P value <0.05 was considered significant. All statistical analyses were performed using IBM SPSS Statistics Version 20 (Armonk, NY, USA).

Results

Patients’ characteristics

We prospectively identified 441 consecutive patients with ICUAP; 185 (42 %) were excluded because a positive microbiological diagnosis could not be made. Therefore, we included 256 patients: 215 (84 %) with monomicrobial, and 41 (16 %) with polymicrobial ICUAP (Fig. 1).
Fig. 1

Trial profile of included and excluded patients. ICU intensive care unit, VAP ventilator-associated pneumonia, ICUAP ICU-acquired pneumonia

Trial profile of included and excluded patients. ICU intensive care unit, VAP ventilator-associated pneumonia, ICUAP ICU-acquired pneumonia The characteristics of patients at ICU admission and at onset of pneumonia are summarized in Tables 1 and 2. The rate of chronic heart disease was lower, and the rate of pleural effusion was higher, in patients with polymicrobial, compared to monomicrobial pneumonia. No other significant differences were found between the two groups in the remaining baseline characteristics, co-morbidities, reasons for ICU admission, disease severity, and laboratory variables at the onset of pneumonia.
Table 1

Baseline characteristics of patients at ICU admission

Monomicrobial pneumonia n = 215Polymicrobial pneumonia n = 41 P value
Age, years63 ± 1660 ± 170.34
Sex, male, n (%)155 (72)31 (76)0.64
APACHE-II score17 ± 618 ± 60.52
SAPS-II score41 ± 1542 ± 130.66
SOFA score7.2 ± 3.17.8 ± 3.30.28
Current or former smokers, n (%)113 (53)20 (49)0.66
Current or former alcohol abuse, n (%)57 (27)10 (24)0.77
Co-morbidities, n (%)
 Diabetes mellitus47 (22)10 (24)0.72
 Chronic renal failure17 (8)2 (5)0.50
 Solid cancer41 (19)3 (7)0.068
 Chronic heart disorders71 (33)6 (15)0.019
 Chronic lung disease74 (34)10 (24)0.21
 Chronic liver disease36 (17)8 (20)0.67
Recent surgery, n (%)97 (45)15 (37)0.31
Tracheostomy at admission, n (%)24 (11)4 (10)0.78
Main causes of ICU admission, n (%)
 Postoperative38 (18)4 (10)0.31
 Hypoxemic respiratory failure37 (17)7 (17)0.85
 Decreased consciousness31 (14)8 (20)0.56
 Hypercapnic respiratory failure26 (12)2 (5)0.28
 Cardiac arrest15 (7)4 (10)0.77
 Septic shock17 (8)3 (7)0.85
 Multiple trauma18 (8)6 (15)0.34
 Non-surgical abdominal disease10 (5)3 (7)0.75
Previous antibiotics in the ICU, n (%)163 (76)31 (76)0.98
Previous cardiopulmonary resuscitation, n (%)23 (11)4 (10)0.86

APACHE acute physiology and chronic health evaluation; SAPS simplified acute physiology score; SOFA sepsis-related organ failure assessment; ICU intensive care unit

Table 2

Characteristics of patients at onset of pneumonia

Monomicrobial pneumonia n = 215Polymicrobial pneumonia n = 41 P value
Ventilator-associated pneumonia, n (%)147 (68)32 (78)0.22
Non-ventilator-ICUAP, n (%)68 (32)9 (22)
Early-onset pneumonia, n (%)55 (26)14 (34)0.27
Late-onset pneumonia, n (%)159 (74)27 (66)
ICU stay before pneumonia, days7 ± 88 ± 90.79
Hospital stay before pneumonia, days12 ± 1310 ± 90.26
SOFA score7.5 ± 3.47.9 ± 3.00.51
CPIS day 16.4 ± 1.56.9 ± 1.50.026
Previous use of corticosteroids, n (%)81 (38)20 (50)0.14
Previous airway colonization, n (%)87 (41)12 (29)0.18
ARDS criteria, n (%)22 (10)7 (18)0.16
Pleural effusion, n (%)52 (25)20 (49)0.002
Shock at onset of pneumonia, n (%)101 (47)19 (46)0.94
Serum creatinine, mg/Dl1.25 ± 1.041.15 ± 0.900.57
Blood hemoglobin, g/L10.5 ± 1.710.9 ± 1.90.14
White blood cell count, L−9 14,068 ± 7,28212,510 ± 4,8930.19
PaO2/FiO2, mmHg210 ± 82202 ± 800.56

ICU intensive care uni, ICUAP ICU-acquired pneumonia, SOFA sepsis-related organ failure assessment, CPIS clinical pulmonary infection score, ARDS acute respiratory distress syndrome, PaO /FiO ratio of arterial oxygen tension to inspired oxygen fraction

Baseline characteristics of patients at ICU admission APACHE acute physiology and chronic health evaluation; SAPS simplified acute physiology score; SOFA sepsis-related organ failure assessment; ICU intensive care unit Characteristics of patients at onset of pneumonia ICU intensive care uni, ICUAP ICU-acquired pneumonia, SOFA sepsis-related organ failure assessment, CPIS clinical pulmonary infection score, ARDS acute respiratory distress syndrome, PaO /FiO ratio of arterial oxygen tension to inspired oxygen fraction

Microbiologic assessment

The proportions of lower respiratory tract samples processed for microbiology were similar in the two groups (Table 3). However, blood and pleural fluid culture were performed more often in patients with polymicrobial pneumonia, in case of pleural fluid, owing to the higher incidence of pleural effusion in this group.
Table 3

Diagnostic samples processed for microbiologic culture

Monomicrobial pneumonia n = 215Polymicrobial pneumonia n = 41 P value
Any lower respiratory tract sample, n (%)213 (99)41 (100)0.54
 Tracheal aspirate or sputum, n (%)a 202 (94)38 (93)0.76
 Bronchoalveolar lavage, n (%)41 (19)9 (22)0.68
Pleural fluid culture, n (%)18 (8)9 (22)0.009
Blood culture, n (%)143 (67)34 (83)0.037

aSputum or tracheal aspirates were obtained depending on whether or not patients were intubated at onset of pneumonia. In some patients, a sample of both sputum and tracheal aspirate were processed for culture

Diagnostic samples processed for microbiologic culture aSputum or tracheal aspirates were obtained depending on whether or not patients were intubated at onset of pneumonia. In some patients, a sample of both sputum and tracheal aspirate were processed for culture There were 2 patients (5 %) in the polymicrobial pneumonia group with methicillin-sensitive Staphylococcus aureus (MSSA) isolated in pleural fluid. In the monomicrobial pneumonia group, 8 patients (4 %) had positive pleural fluid cultures: MSSA and Pseudomonas aeruginosa in 3 patients, and MRSA in 2 patients. There were 5 patients (12 %) in the polymicrobial pneumonia group with positive blood cultures: Serratia spp. in 2 patients, and MSSA, Escherichia coli, and Fusobacterium spp. in 1 patient. The pathogens concomitantly isolated in respiratory samples from these patients with bacteremia were: Serratia spp. (Morganella morganii and MSSA), MSSA (S. pneumoniae), E. coli (MSSA), and Fusobacterium spp. (E. coli). In the monomicrobial pneumonia group, 18 patients (8 %) had positive blood cultures: P. aeruginosa in 4 patients, MRSA and E. coli in 3 patients, MSSA and Klebsiella spp. in 2 patients, and Stenotrophomonas maltophilia, Citrobacter spp., Bacteroides fragilis and Proteus mirabilis in 1 patients. The etiologic diagnosis of pneumonia is shown in Table 4. All patients with polymicrobial pneumonia had two different pathogens identified, except two who had three different pathogens identified (Table 5). The most frequently isolated pathogens were P. aeruginosa, Enterobacteriaceae, and MSSA. Several bacteria, such as MSSA, Haemophilus influenzae, Klebsiella spp., E. coli, Enterobacter spp., Citrobacter spp., and Serratia spp., were more frequently isolated in patients with polymicrobial pneumonia. The remaining pathogens were isolated at similar rates in both groups. These findings were similar when we analyzed patients with VAP and non-ventilator ICUAP separately.
Table 4

Etiologic diagnosis of pneumonia

Pathogen, n (%)Monomicrobial pneumonia n = 215Polymicrobial pneumonia n = 41 P value
Gram-positive bacteria
 Methicillin-sensitive Staphylococcus aureus 39 (18)14 (34)0.037
 Methicillin-resistant Staphylococcus aureus 18 (8)3 (7)0.94
Streptococcus pneumoniae 10 (5)3 (7)0.75
Gram-negative bacteria
Enterobacteriaceae
Klebsiella spp.14 (7)9 (22)0.005
Escherichia coli 9 (4)10 (24)<0.001
Proteus spp.3 (1)3 (7)0.087
Enterobacter spp.9 (4)6 (15)0.025
Citrobacter spp.2 (1)3 (7)0.039
Serratia spp.9 (4)6 (15)0.025
Morganella morganii 1 (0.5)1 (2.4)0.73
Haemophilus influenza 6 (3)5 (12)0.023
Non-fermenting Gram-negative bacilli
Stenotrophomonas maltophilia 12 (6)4 (10)0.51
Pseudomonas aeruginosa 74 (34)12 (29)0.65
Acinetobacter spp.01 (2.4)0.38
Moraxella catarrhalis 2 (0.9)1 (2.4)0.98
Fusobacterium spp.01 (2.4)0.38
Bacteroides fragilis 1 (0.5)00.36
Fungi
Aspergillus spp.6 (3)2 (5)0.84
Bacteremia18 (8)5 (12)0.63
Patients with drug-resistant pathogens:0.61
 MDR pathogens38 (18)9 (22)
 XDR pathogens19 (9)2 (5)
MDR pathogens isolateda:
 Methicillin-resistant S. aureus 183
 Non-fermenting Gram-negative bacilli121
Enterobacteriaceae 87
XDR pathogens isolated:
 Non-fermenting Gram-negative bacilli182
Enterobacteriaceae 10
Microbiologic evolution on day 3:
 Persistence of 2 pathogens from day 1-5 (12)
 Persistence of 1 pathogen from day 174 (34)13 (32)
 Persistence + new pathogen isolated12 (6)0 (0)
 Eradication but new pathogen isolated12 (6)1 (2)
 Eradication of initial pathogen71 (33)14 (34)
 Microbiologic evaluation on day 3 not done46 (21)8 (20)

aIn two patients with polymicrobial pneumonia, both pathogens were multi-drug-resistant (MDR). XDR extensive-drug-resistant

Table 5

Combinations of pathogens according to microbial groups in patients with polymicrobial pneumonia

PathogensNumber
Patients with 3 pathogens identified
Enterobacteriaceae + MSSA + non-fermenting GNB1
Enterobacteriaceae + MSSA + H. influenzae 1
Patients with 2 pathogens identified
2 Enterobacteriaceae 9
Enterobacteriaceae + MSSA6
Enterobacteriaceae + non-fermenting GNB6
2 non-fermenting GNB3
Enterobacteriaceae + H. influenzae 2
Enterobacteriaceae + MRSA2
MSSA + S. pneumoniae 2
MSSA + non-fermenting GNB2
Enterobacteriaceae + M. catarrhalis 1
Enterobacteriaceae + Fusobacterium spp1
MSSA + H. influenza 1
MSSA + Aspergillus spp.1
Non-fermenting GNB + Aspergillus spp.1
Non-fermenting GNB + MRSA1
S. pneumoniae + H. influenzae 1

MSSA methicillin-sensitive Staphylococcus aureus, GNB Gram-negative bacilli, MRSA methicillin-resistant Staphylococcus aureus

Etiologic diagnosis of pneumonia aIn two patients with polymicrobial pneumonia, both pathogens were multi-drug-resistant (MDR). XDR extensive-drug-resistant Combinations of pathogens according to microbial groups in patients with polymicrobial pneumonia MSSA methicillin-sensitive Staphylococcus aureus, GNB Gram-negative bacilli, MRSA methicillin-resistant Staphylococcus aureus The proportion of patients with MDR and XDR pathogens isolated were similar in both groups (Table 4). There were no patients with PDR microorganisms. Patients treated with antibiotics before the onset of ICUAP more frequently had MDR or XDR pathogens than those not treated previously with antibiotics (59 (30 %) vs. 9 (15 %), respectively, p = 0.014). A new microbiologic evaluation was done on the third day of evolution in 169 patients (79 %) and 33 patients (80 %) from the monomicrobial and polymicrobial groups, respectively. The microbiologic evolution is shown in Table 4. The serum levels of all inflammatory biomarkers were similar in patients from the two groups (Table 6).
Table 6

Serum levels of inflammatory biomarkers

Na Monomicrobial pneumonia n = 215Na Polymicrobial pneumonia n = 41 P value
C-reactive protein, mg/dL20613 (7;22)3613 (4;25)0.75
IL-6 day 1, pg/mL107157 (49:462)1992 (34;213)0.19
IL-8 day 1, pg/mL10799 (59;209)1969 (55;161)0.33
TNF-alpha day 1, pg/mL1078 (5;16)197 (3;10)0.30
Procalcitonin day 1, ng/mL1080.48 (0.15;1.57)200.44 (0.06;1.72)0.53
MR-proADM day 1, nmol/L1141.35 (0.55;2.28)200.60 (0.25;2.02)0.13

Reported values are median (interquartile range). aNumber of patients with samples processed for each inflammatory biomarker in each group. IL interleukin, MR-proADM mid-regional pro-adrenomedullin, TNF tumor necrosis factor

Serum levels of inflammatory biomarkers Reported values are median (interquartile range). aNumber of patients with samples processed for each inflammatory biomarker in each group. IL interleukin, MR-proADM mid-regional pro-adrenomedullin, TNF tumor necrosis factor The appropriateness of the empirical antimicrobial treatment, the initial non-response to treatment, the length of stay, the ventilator-free days, and mortality at 28 and 90 days were similar in both groups (Table 7 and Fig. 2). Mortality of patients adjusted for initial non-response to treatment did not differ between groups (28 days: p = 0.71; 90 days: p = 0.49).
Table 7

Antimicrobial treatment, length of stay and outcomes

Monomicrobial pneumonia n = 215Polymicrobial pneumonia n = 41 P value
Appropriate empiric treatment, n (%)185 (86)39 (95)0.11
Initial non-response to treatment, n (%)115 (54)28 (68)0.080
ICU stay, days23 ± 1925 ± 200.47
Hospital stay, days44 ± 3443 ± 310.98
Ventilator-free days at day 2811 (0;23)0 (0;21)0.26
Cause of death within 90 days, n (%)0.26
 Shock-multiple organ failure65 (70)9 (56)
 Refractory hypoxemia11 (12)2 (13)
 Order do-not-resuscitate6 (7)0
 Brain anoxia8 (9)4 (25)
 Other2 (2)1 (6)

ICU intensive care unit

Fig. 2

Kaplan-Meier survival curves at 28 and 90 days in the study cohort survivors in patients with monomicrobial and polymicrobial pneumonia

Antimicrobial treatment, length of stay and outcomes ICU intensive care unit Kaplan-Meier survival curves at 28 and 90 days in the study cohort survivors in patients with monomicrobial and polymicrobial pneumonia The most frequent cause of death was shock-multiple organ failure. Even when adjusted for variables potentially related to mortality, the polymicrobial etiology of ICUAP was not associated with 28-day mortality (adjusted hazard ratio 0.86, 95 % confidence interval 0.44–1.58, p = 0.65) or 90-day mortality (adjusted hazard ratio 1.16, 95 % confidence interval 0.57–2.39, p = 0.69).

Discussion

Polymicrobial etiology accounted for 16 % cases of ICUAP with positive microbiology. Except for less frequent chronic heart disease and more frequent pleural effusion in polymicrobial pneumonia, there were no other significant differences between patients with monomicrobial and polymicrobial pneumonia in their baseline characteristics, inflammatory response or outcomes. Information about the polymicrobial etiology of ICUAP is limited. The only study that specifically addressed this issue in VAP, published in 2002 [11], found a substantially higher proportion of polymicrobial etiology (48 %) compared to the present one. Unlike our study, those authors included some bacteria that are considered non-pathogenic for the lung in non-immunosuppressed patients, such as several Streptococcus species, Neisseria spp, Enterococcus spp, and coagulase-negative Staphylococci. Indeed, a substantial proportion of microbial isolates reported in polymicrobial VAP in that study (42 %) represented these types of microbes [11]. Similarly, previous observational studies reported rates of polymicrobial etiology of VAP that ranged between 28 % and 50 % when PPMs and non-pathogenic microbes were analyszed [34-37]. Having included non-pathogenic microbes would have increased the rate of polymicrobial pneumonia to 30 % in our population. Conversely, we report in our study that 16 % of patients with ICUAP had polymicrobial etiology when we restricted the analysis to PPMs. A previous study that used the same criteria reported a similar rate (10 %) for VAP of polymicrobial etiology [38]. A relevant issue in the polymicrobial etiology of ICUAP is the potential prognostic implications. For that reason, finding predictors of polymicrobial pneumonia could hypothetically be of potential interest. However, in a clinical setting of highly appropriate initial antibiotic treatment, as reported in the present study for both groups, all the outcomes, including length of stay, ventilator-free days and mortality, were similar in the two groups. Indeed, in our study the numbers of patients with MDR or XDR pathogens in our study did not differ with pneumonia of polymicrobial etiology. In addition, when patients were clustered into non-ventilated ICUAP and VAP, there were also no statistically significant differences in these outcomes. In our study, the only variables associated with polymicrobial etiology were absence of chronic heart disease and prior hospital admission, and the presence of pleural effusion, which was twice as high in the polymicrobial group. We have previously reported that patients with clinical diagnosis of both community-acquired pneumonia and ICUAP and negative microbiology more frequently have chronic heart disease [14, 39]. Both studies suggested that some of these cases might also represent, at least in part, fluid overload due to congestive heart failure added to the underlying inflammatory process potentially mimicking pneumonia. Similarly, underlying chronic heart disease might hypothetically have contributed to the development of pulmonary congestion in patients with presumably lower bacterial burden, such as those with pneumonia of monomicrobial etiology. We do not have a clear explanation for the association between a higher rate of pleural effusion and polymicrobial pneumonia. The isolation of MSSA in pleural fluid culture from two patients was not sufficiently decisive to allocate them to the polymicrobial pneumonia group; in one patient, this pathogen was concomitantly identified in blood and tracheal aspirate cultures, while in the other, both H. influenzae and Klebsiella spp were isolated in a tracheal aspirate culture. The association between pleural effusion and ICUAP of polymicrobial etiology needs to be confirmed in future prospective studies. Neither prior antibiotic treatment nor late-onset pneumonia, as in the previous French study [11], were predictors of polymicrobial pneumonia in our study. However, prior antibiotic treatment was associated with the presence of MDR or XDR pathogens in our study. In addition we found no association between the severity of presentation and polymicrobial etiology. This finding complements a previous study in 343 patients with ICUAP that concluded that severity of illness seems not to affect etiology [9]. We also found no differences in the serum levels of any inflammatory biomarkers that we measured at the onset of pneumonia. In relation to the etiology of ICUAP, we have recently reported that inflammatory biomarkers were unable to differentiate between patients with positive and negative microbiology [14], or patients with or without MDR pathogens [9]. All these studies confirm that inflammatory biomarkers are not useful in predicting the etiology of ICUAP. The main strengths of our study are the prospective design, the detailed description of microbiology in ICUAP, the inclusion of both VAP and non-ventilator ICUAP, the exclusion of non-potentially pathogenic microorganisms from the analysis, the assessment of several inflammatory biomarkers, and the follow up of patients up to 90 days. However, in our study we excluded immunosuppressed patients. Consequently, we cannot extrapolate our results to this population. This study has some limitations. First, it was conducted in a single center, so the extrapolation of these findings to other settings must be done cautiously. Second, we did not use molecular microbiological techniques that are potentially more sensitive. However, the experience of using these techniques in ICUAP, and in non-ventilator ICUAP and VAP, is still scarce. Third, the sample size of our study is not enough large to make a robust analysis of all related questions; when comparing several characteristics between the two groups of patients the current study was underpowered. It is important to outline that this is a non-interventional study and our purpose was only to describe clinical findings. Fourth, there were no adjustments made for multiple comparisons.

Conclusion

The etiology of ICUAP with microbiologic confirmation was polymicrobial in 16 % of patients. Pleural effusion and absence of chronic heart disease are associated with polymicrobial pneumonia. When empiric antibiotic treatment is frequently appropriate, polymicrobial etiology does not influence the outcome of ICUAP.

Key messages

Polymicrobial etiology of ICU-acquired pneumonia accounted for 16 % cases with microbiologic confirmation Polymicrobial etiology of ICU-acquired pneumonia was associated with pleural effusion and absence of chronic heart disease Polymicrobial etiology did not result in higher incidence of multi-drug- and extensive-drug-resistant pathogens When empiric treatment is appropriate, polymicrobial etiology does not influence the outcome of ICU-acquired pneumonia
  38 in total

1.  Guidelines for the management of adults with hospital-acquired, ventilator-associated, and healthcare-associated pneumonia.

Authors: 
Journal:  Am J Respir Crit Care Med       Date:  2005-02-15       Impact factor: 21.405

2.  The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine.

Authors:  J L Vincent; R Moreno; J Takala; S Willatts; A De Mendonça; H Bruining; C K Reinhart; P M Suter; L G Thijs
Journal:  Intensive Care Med       Date:  1996-07       Impact factor: 17.440

3.  Ventilator-associated pneumonia caused by potentially drug-resistant bacteria.

Authors:  J L Trouillet; J Chastre; A Vuagnat; M L Joly-Guillou; D Combaux; M C Dombret; C Gibert
Journal:  Am J Respir Crit Care Med       Date:  1998-02       Impact factor: 21.405

4.  Incidence and outcome of polymicrobial ventilator-associated pneumonia.

Authors:  Alain Combes; Corinne Figliolini; Jean-Louis Trouillet; Najibi Kassis; Michel Wolff; Claude Gibert; Jean Chastre
Journal:  Chest       Date:  2002-05       Impact factor: 9.410

5.  Clinical diagnosis of ventilator associated pneumonia revisited: comparative validation using immediate post-mortem lung biopsies.

Authors:  N Fàbregas; S Ewig; A Torres; M El-Ebiary; J Ramirez; J P de La Bellacasa; T Bauer; H Cabello
Journal:  Thorax       Date:  1999-10       Impact factor: 9.139

6.  Prevalence, risk factors, and mortality for ventilator-associated pneumonia in middle-aged, old, and very old critically ill patients*.

Authors:  Stijn Blot; Despoina Koulenti; George Dimopoulos; Claude Martin; Apostolos Komnos; Wolfgang A Krueger; Giuseppe Spina; Apostolos Armaganidis; Jordi Rello
Journal:  Crit Care Med       Date:  2014-03       Impact factor: 7.598

7.  Resistance patterns and outcomes in intensive care unit (ICU)-acquired pneumonia. Validation of European Centre for Disease Prevention and Control (ECDC) and the Centers for Disease Control and Prevention (CDC) classification of multidrug resistant organisms.

Authors:  Ignacio Martin-Loeches; Antonio Torres; Mariano Rinaudo; Silvia Terraneo; Francesca de Rosa; Paula Ramirez; Emili Diaz; Laia Fernández-Barat; Gian Luigi Li Bassi; Miquel Ferrer
Journal:  J Infect       Date:  2014-10-27       Impact factor: 6.072

8.  ICU-acquired pneumonia with or without etiologic diagnosis: a comparison of outcomes.

Authors:  Valeria Giunta; Miquel Ferrer; Mariano Esperatti; Otavio T Ranzani; Lina Maria Saucedo; Gianluigi Li Bassi; Francesco Blasi; Antoni Torres
Journal:  Crit Care Med       Date:  2013-09       Impact factor: 7.598

9.  Assessment of severity of ICU-acquired pneumonia and association with etiology.

Authors:  Marta Di Pasquale; Miquel Ferrer; Mariano Esperatti; Ernesto Crisafulli; Valeria Giunta; Gianluigi Li Bassi; Mariano Rinaudo; Francesco Blasi; Michael Niederman; Antoni Torres
Journal:  Crit Care Med       Date:  2014-02       Impact factor: 7.598

10.  Validation of predictors of adverse outcomes in hospital-acquired pneumonia in the ICU.

Authors:  Mariano Esperatti; Miquel Ferrer; Valeria Giunta; Otavio Tavares Ranzani; Lina Maria Saucedo; Gianluigi Li Bassi; Francesco Blasi; Jordi Rello; Michael S Niederman; Antoni Torres
Journal:  Crit Care Med       Date:  2013-09       Impact factor: 7.598

View more
  10 in total

1.  Interaction of Staphylococcus aureus and Acinetobacter baumannii during In Vitro β-Lactam Exposure.

Authors:  Nicholas M Smith; Alexa Ang; Fanny Tan; Katelyn Macias; Sarah James; Jasleen Sidhu; Justin R Lenhard
Journal:  Antimicrob Agents Chemother       Date:  2021-03-18       Impact factor: 5.191

2.  A coup d'état by NDM-producing Klebsiella pneumoniae overthrows the major bacterial population during KPC-directed therapy.

Authors:  Justin R Lenhard; Amisha P Rana; Eric Wenzler; Yanqin Huang; Barry N Kreiswirth; Liang Chen; Zackery P Bulman
Journal:  Diagn Microbiol Infect Dis       Date:  2020-05-15       Impact factor: 2.803

Review 3.  Microbial Etiology of Pneumonia: Epidemiology, Diagnosis and Resistance Patterns.

Authors:  Catia Cilloniz; Ignacio Martin-Loeches; Carolina Garcia-Vidal; Alicia San Jose; Antoni Torres
Journal:  Int J Mol Sci       Date:  2016-12-16       Impact factor: 5.923

4.  Dysbiosis of Gut Microbiota and Short-Chain Fatty Acids in Acute Ischemic Stroke and the Subsequent Risk for Poor Functional Outcomes.

Authors:  Chuhong Tan; Qiheng Wu; Huidi Wang; Xuxuan Gao; Ruoting Xu; Ziming Cui; Jiajia Zhu; Xiuli Zeng; Hongwei Zhou; Yan He; Jia Yin
Journal:  JPEN J Parenter Enteral Nutr       Date:  2020-05-30       Impact factor: 4.016

5.  Poor Sensorium at the Time of Intubation Predicts Polymicrobial Ventilator Associated Pneumonia.

Authors:  Ramachandran Natarajan; Venkateswaran Ramanathan; Sujatha Sistla
Journal:  Ther Clin Risk Manag       Date:  2022-02-17       Impact factor: 2.423

6.  Clinical Features and Outcomes of Monobacterial and Polybacterial Episodes of Ventilator-Associated Pneumonia Due to Multidrug-Resistant Acinetobacter baumannii.

Authors:  Dalia Adukauskiene; Ausra Ciginskiene; Agne Adukauskaite; Despoina Koulenti; Jordi Rello
Journal:  Antibiotics (Basel)       Date:  2022-07-04

7.  Evaluation of a New Culture-Based AtbFinder Test-System Employing a Novel Nutrient Medium for the Selection of Optimal Antibiotics for Critically Ill Patients with Polymicrobial Infections within 4 h.

Authors:  George Tetz; Victor Tetz
Journal:  Microorganisms       Date:  2021-05-04

8.  Intensive care unit patients with lower respiratory tract nosocomial infections: the ENIRRIs project.

Authors:  Gennaro De Pascale; Otavio T Ranzani; Saad Nseir; Jean Chastre; Tobias Welte; Massimo Antonelli; Paolo Navalesi; Eugenio Garofalo; Andrea Bruni; Luis Miguel Coelho; Szymon Skoczynski; Federico Longhini; Fabio Silvio Taccone; David Grimaldi; Helmut J F Salzer; Christoph Lange; Filipe Froes; Antoni Artigas; Emili Díaz; Jordi Vallés; Alejandro Rodríguez; Mauro Panigada; Vittoria Comellini; Luca Fasano; Paolo M Soave; Giorgia Spinazzola; Charles-Edouard Luyt; Francisco Alvarez-Lerma; Judith Marin; Joan Ramon Masclans; Davide Chiumello; Angelo Pezzi; Marcus Schultz; Hafiz Mohamed; Menno Van Der Eerden; Roger A S Hoek; D A M P J Gommers; Marta Di Pasquale; Rok Civljak; Marko Kutleša; Matteo Bassetti; George Dimopoulos; Stefano Nava; Fernando Rios; Fernando G Zampieri; Pedro Povoa; Lieuwe D Bos; Stefano Aliberti; Antoni Torres; Ignacio Martín-Loeches
Journal:  ERJ Open Res       Date:  2017-11-17

9.  TD/GC-MS analysis of volatile markers emitted from mono- and co-cultures of Enterobacter cloacae and Pseudomonas aeruginosa in artificial sputum.

Authors:  Oluwasola Lawal; Hugo Knobel; Hans Weda; Tamara M E Nijsen; Royston Goodacre; Stephen J Fowler
Journal:  Metabolomics       Date:  2018-04-26       Impact factor: 4.290

10.  Assessment of a Loop-Mediated Isothermal Amplification (LAMP) Assay for the Rapid Detection of Pathogenic Bacteria from Respiratory Samples in Patients with Hospital-Acquired Pneumonia.

Authors:  Andrea Vergara; Hervé Boutal; Adrián Ceccato; Míriam López; Adrià Cruells; Leticia Bueno-Freire; Javier Moreno-Morales; Jorge Puig de la Bellacasa; Pedro Castro; Antoni Torres; Francesc Marco; Climent Casals-Pascual; Jordi Vila
Journal:  Microorganisms       Date:  2020-01-11
  10 in total

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