Introduction
Since positive blood cultures are uncommon in nosocomial pneumonia (NP) patients, the responsible pathogens are usually isolated from respiratory samples [1‐3]. Studies on bacteremia associated with hospital-acquired pneumonia (HAP) have reported fatality rates up to 50% [4, 5]. Although the impact of methicillin resistance on the outcomes of patients with Staphylococcus aureus bacteremia has been extensively evaluated, little information exists on the impact of the methicillin resistance of patients with nosocomial bacteremic S. aureus pneumonia. A prospective study in a single institution reported recently that methicillin-resistant S. aureus (MRSA) was associated with bacteremic ventilator-associated pneumonia (VAP) and that bacteremia significantly increased mortality in these patients [6]. Whether these findings are generalizable to other case mixes or institutions is unknown.
The response to VAP can be shown from compartmentalized forms that account for a local response with minor systemic compromise, whereas systemic spillover or escape of inflammation led to septic shock and bacteremia. Moreover, some microorganisms such as S. aureus are more adherent than others [7] and are more likely to develop bacteremia.
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Because some intensive care units (ICUs) do not perform blood cultures as part of the diagnosis work in patients with suspected NP and this information provides useful epidemiologic information on causative organisms and resistance, we performed a secondary analysis of a large multicenter cohort of patients with NP [8]. The primary objective was to confirm whether bacteremic nosocomial pneumonia (B-NP) had higher mortality rates than nonbacteremic nosocomial pneumonia (NB-NP). Secondary objectives were to identify which risk factors and pathogens were associated with development of B-NP.
Materials and methods
Study population and design
The EU-VAP/CAP was a prospective, observational survey conducted in 27 ICUs from nine European countries (Belgium, France, Germany, Greece, Italy, Ireland, Portugal, Spain and Turkey). The principal investigator contacted one coordinator in each country (national coordinator) who then selected the participating centers for its country. All patients requiring admission for a diagnosis of pneumonia or on invasive mechanical ventilation for longer than 48 hours, irrespective of the diagnosis at admission, were included.
The target was the collection of data for 100 consecutive admissions in each ICU. Data were collected by the primary investigator in each site (see Acknowledgements for list of investigators). The period of data collection was between 6 and 12 months (depending on the size and type of the participating ICUs). Patient demographics, primary diagnosis, ICU and hospital lengths of stay, Simplified Acute Physiology Score (SAPS) II score [9], duration of mechanical ventilation and outcome (ICU mortality) were recorded for all patients.
Each clinical episode of pneumonia was described separately. For patients with a clinical diagnosis of pneumonia, data collection included clinical signs, sepsis severity (sepsis/severe sepsis/septic shock) [10] and Sepsis-related Organ Failure Assessment score [11] for the day of admission to the ICU for community-acquired pneumonia and HAP, and for the day of clinical suspicion for VAP and microbiology.
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The present study was approved by the Ethics Board of the coordinating center (Clinical Research Ethics Committee, Joan XXIII University Hospital, Tarragona, Spain). The participating centers either received ethical approval from their institutions or ethical approval was waived. Informed consent was waived due to the observational nature of the study.
Definitions
Pneumonia was diagnosed when new, persistent pulmonary infiltrates, not otherwise explained, appeared on chest radiographs with the presence of local (purulent respiratory secretions) and systemic signs of inflammatory response (white blood cell count > 10,000/μl, or increase in white blood cell count > 20% in the absence of leukocytosis or fever).
Bacteremic pneumonia was defined as at least one positive blood culture not related to another source of infection and at least one positive respiratory sample culture (obtained within 48 hours of each other if two or more cultures). In addition, at least one of the microorganisms isolated in respiratory samples had to be isolated in blood cultures, whereas all isolates in blood cultures were required to grow in simultaneously obtained respiratory samples to fit the complete definition of bacteremic pneumonia. This was only diagnosed when respiratory and blood samples yielded the same microorganism and both cultures were performed within 48 hours. Other growths in both respiratory and blood cultures within this period were defined as inconsistent microbiology.
Fever was defined as two or more consecutive measurements > 38°C. Pneumonia was considered ventilator-associated when it occurred 48 hours after starting mechanical ventilation, and was defined as early-onset if it started within 4 days of admission, in accordance with the American Thoracic Society/Infectious Disease Society of America guidelines [12]. Trauma was defined as the presence of injury in more than one body area or system, or the presence of major cranial trauma alone. Prior antibiotic exposure was considered when a patient received antimicrobial agents during the 15 days preceding the NP episode, with the exception of antibiotics administered for surgical prophylaxis [13]. Shock was described as systolic blood pressure < 90 mmHg despite adequate fluid resuscitation and need for vasopressor agents. At least 48 hours of hospitalization in the 90 days before admission or current hospitalization for > 4 days before the start of mechanical ventilation was considered as prior hospitalization.
Microbiology
Quantitative or qualitative tracheal aspirates or bronchoscopic examination using bronchoscopic-protected specimen brush samples or bronchoscopic bronchoalveolar lavage samples was performed to obtain uncontaminated lower airway secretions for bacterial cultures. Bacterial identification and susceptibility testing were performed by standard methods.
Statistical analysis
Discrete variables were expressed as counts (percentage) and continuous variables as the mean and standard deviation, unless stated otherwise; all statistical tests were two-sided. The threshold for statistical significance was defined as P < 0.05. Differences in categorical variables were calculated using a two-sided likelihood ratio chi-square test or Fisher exact test, and the Mann-Whitney U test or Kruskal-Wallis test were used for continuous variables, when appropriate.
Backward logistic regression was used to assess the risk factors for bacteremia. Variables significantly associated with mortality in the univariate analysis were entered into the model. In order to avoid spurious associations, variables entered into the regression models were those with a relationship in univariate analysis (P ≤ 0.05) or a plausible relationship with the dependent variable. Potential explanatory variables were checked for collinearity prior to inclusion in the regression models using tolerance and the variance inflation factor. Variables associated with bacteremia in univariate analysis were included in a multivariate analysis for identification of independent variables after adjustment for severity of disease using SAPS II. To assess the effect of bacteremia on mortality, a stepwise logistic regression was performed adjusting for admission category and severity of illness (SAPS II). Results are presented as the odds ratio (OR) and 95% confidence interval (CI). Data analysis was performed using SPSS for Windows 13.0.0 (SPSS, Chicago, IL, USA).
Results
A total of 2,436 intubated patients were evaluated, and 689 developed NP (465 VAP and 224 HAP). Blood samples were extracted in 479 (69.5%) patients, and 70 (14.6%) of them were positive. Clinical and epidemiological data for the current study cohort are detailed in Table 1. No significant differences were observed between B-NP patients and NB-NP patients regarding age and male gender (59.2 ± 15.4 years vs. 56.5 ± 18.9 years, P = 0.26 and 71.4% vs. 68%, P = 0.67, respectively), but B-NP patients had higher SAPS II score than NB-NP patients (51.5 ± 19.8 vs. 46.6 ± 17.5, P = 0.03). In terms of diagnostic category, B-NP patients were more frequently medical patients than NB-NP patients (77.1% vs. 60.4%, P = 0.01). B-NP patients had more elapsed time between ICU admission and VAP than NB-NP patients (7.3 ± 14.1 days vs. 4.9 ± 5.8 days, P = 0.02).
Table 1
Clinical and epidemiological characteristics of bacteremic and nonbacteremic nosocomial pneumonia patients
Characteristic | Bacteremic (n= 70) | Nonbacteremic (n= 409) | P value |
|---|---|---|---|
Age (years) | 59.2 ± 15.4 | 56.5 ± 18.9 | 0.26 |
Male gender | 50 (71.4) | 278 (68) | 0.67 |
SAPS II score | 51.5 ± 19.8 | 46.6 ± 17.5 | 0.03 |
Gap pneumonia | 7.3 ± 14.1 | 4.9 ± 5.8 | 0.02 |
Diagnostic category at admission | 0.01 | ||
Medical | 54 (77.1) | 246 (60.4) | |
Surgery | 12 (17.1) | 64 (15.7) | |
Trauma | 4 (5.7) | 97 (23.8) | |
Co-morbidities at admission | |||
Diabetes mellitus | 3 (4.3) | 16 (3.9) | 0.75 |
Hepatic cirrhosis | 3 (4.3) | 10 (2.4) | 0.42 |
COPD | 5 (7.1) | 21 (5.1) | 0.57 |
Chronic renal failure | 10 (14.3) | 32 (7.1) | 0.34 |
CCI | 9 (12.9) | 29 (7.1) | 0.15 |
Alcohol | 0 (0) | 17 (4.2) | 0.15 |
Immunodepression | 6 (8.6) | 16 (3.9) | 0.11 |
Relating to episode at admission | |||
Septic shock | 27 (39.7) | 137 (35) | 0.35 |
Prior antibiotic exposure | 15 (21.2) | 53 (13) | 0.07 |
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No significant differences were observed in co-morbidities between B-NP patients and NB-NP patients. Although there were no differences in baseline co-morbidities between B-NP patients and NB-NP patients and the SAPS II score on the day of ICU admission was higher in surgical patients than medical and trauma patients (51.1 ± 17.3 vs. 48.4 ± 18.3 vs. 41.1 ± 15.7, P < 0.001), in the period prior to developing NP medical patients had a higher SAPS II score than surgical and trauma patients (44.9 ± 17.1 vs. 41.8 ± 15 vs. 38.5 ± 17.6, P < 0.02). A nonsignificant trend to positive blood cultures was associated with prior antibiotic exposure (21.2% vs. 13%, P = 0.07). No differences were found regarding septic shock (39.7% vs. 35%, P = 0.35). No difference was found in performance of the diagnostic technique between B-NP and NB-NP.
ICU mortality was significantly higher in B-NP patients compared with NB-NP patients (57.1% vs. 33%, P < 0.001). B-NP patients had a more prolonged mean ICU length of stay after pneumonia onset than NB-NP patients (28.5 ± 30.6 days vs. 20.5 ± 17.1 days, P = 0.03) (Table 2).
Table 2
Outcomes in bacteremic and nonbacteremic nosocomial pneumonia patients
Bacteremic | Nonbacteremic | P value | |
|---|---|---|---|
ICU mortality | 40 (57.1) | 135 (33) | < 0.001 |
Survivors' length of ICU stay after pneumonia onset (days) | 28.5 ± 30.6 | 20.5 ± 17.1 | 0.03 |
Survivors' days of MV after pneumonia onset (days) | 19.5 ± 30.9 | 14 ± 15.7 | 0.11 |
The pathogens isolated in blood cultures of B-NP are presented in Table 3. The main pathogen isolated in blood cultures of B-NP patients was MRSA (22.6%) followed by Acinetobacter baumannii (17.9%). Respiratory isolates for B-NP and NB-NP are detailed in Table 4. The most prevalent pathogen in B-NP patients was A. baumannii followed by MRSA. In contrast, the most prevalent pathogen in NB-NP patients was Pseudomonas aeruginosa followed by methicillin-susceptible S. aureus.
Table 3
Organisms isolated in blood cultures of patients with bacteremic nosocomial pneumonia
Isolate | n(%) |
|---|---|
Gram-positive | |
Methicillin-resistant Staphylococcus aureus | 19 (22.6) |
Methicillin-susceptible Staphylococcus aureus | 11 (13.1) |
Streptococcus pneumoniae
| 2 (2.4) |
Gram-negative | |
Acinetobacter baumannii
| 15 (17.9) |
Pseudomonas aeruginosa
| 12 (14.3) |
Klebsiella species | 11 (13.1) |
Escherichia coli
| 7 (8.3) |
Enterobacter species | 5 (5.9) |
Proteus mirabilis
| 1 (1.2) |
Serratia species | 1 (1.2) |
Table 4
Isolates in respiratory samples of bacteremic and nonbacteremic nosocomial pneumonia episodes
Isolate | Bacteremic (n= 117) | Nonbacteremic (n= 378) | P value |
|---|---|---|---|
Gram-positive | |||
MSSA | 13 (11.1) | 55 (15.6) | 0.29 |
MRSA | 21 (18) | 48 (12.7) | 0.19 |
Streptococcus pneumoniae
| 2 (1.8) | 17 (4.5) | 0.29 |
Gram-negative | |||
Haemophilus influenzae
| 2 (1.8) | 22 (5.8) | 0.13 |
Pseudomonas aeruginosa
| 17 (14.5) | 67 (17.7) | 0.51 |
Acinetobacter baumannii
| 22 (18.8) | 47 (12.4) | 0.11 |
Escherichia coli
| 8 (6.8) | 39 (10.3) | 0.34 |
Enterobacter species | 7 (6) | 22 (5.8) | 0.89 |
Klebsiella pneumoniae
| 15 (12.8) | 22 (5.8) | 0.02 |
Proteus species | 2 (1.8) | 9 (2.4) | 0.98 |
Serratia species | 1 (1) | 7 (1.9) | 0.8 |
Moraxella species | 0 (0) | 1 (0.3) | 0.12 |
Stenotrophomonas maltophilia
| 4 (3.5) | 9 (2.4) | 0.75 |
Morganella morgagnii
| 0 (0) | 2 (0.5) | 0.03 |
Citrobacter species | 0 (0) | 3 (0.8) | < 0.99 |
Burkholderia cepacia
| 0 (0) | 1 (0.3) | 0.12 |
Other GNB | 1 (1) | 5 (1.3) | < 0.99 |
Other anaerobic | 1 (1) | 2 (0.5) | 0.09 |
To identify independent risk factors for bacteremia, a backward logistic regression included diagnostic category, MRSA and A. baumannii etiology, duration of mechanical ventilation, SAPS II score and prior antibiotic use. The model showed (Table 5) that medical patients (OR = 5.72, 95% CI = 1.93 to 16.99, P = 0.002) and surgical patients (OR = 5.06, 95% CI = 1.47 to 17.47, P = 0.01), compared with trauma patients, MRSA (OR = 3.42, 95% CI = 1.57 to 5.81, P = 0.01), A. baumannii (OR = 4.78, 95% CI = 2.46 to 9.29, P < 0.001) and duration of mechanical ventilation (OR = 1.02 per day, 95% CI = 1.01 to 1.03, P < 0.001), were independently associated with B-NP episodes.
Table 5
Binomial logistic regression (multivariate) analysis of risk factors associated with bacteremic nosocomial pneumonia
Variable | Wald value | Exp(B) (95% confidence interval) | P value |
|---|---|---|---|
Constant | 49.389 | ||
Diagnostic category | |||
Medical | 9.86 | 5.72 (1.93 to 16.99) | 0.002 |
Surgical | 6.58 | 5.06 (1.47 to 17.47) | 0.01 |
Trauma | 1 | ||
SAPS II | 2.995 | 1.01 (0.99 to 1.03) | 0.08 |
MRSA etiology | 10.958 | 3.42 (1.57 to 5.81) | 0.01 |
Acinetobacter etiology | 21.287 | 4.78 (2.46 to 9.29) | < 0.001 |
Duration of MV | 12.434 | 1.02 (1.01 to 1.03) | < 0.001 |
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A backward logistic regression to identify independent risk factors for mortality showed that bacteremia was an independent risk factor for ICU mortality (OR for death = 2.01, 95% CI = 1.22 to 3.55, P = 0.008) after adjustment for severity of illness. The SAPS II score (OR for death = 1.02 per point, 95% CI = 1.01 to 1.03, P = 0.008) and diagnostic category (medical patients (OR for death = 3.71, 95% CI = 2.01 to 6.95, P = 0.02) and surgical patients (OR for death = 2.32, 95% CI = 1.10 to 4.97, P = 0.03)) were also independent variables associated with ICU mortality (Table 6).
Table 6
Binomial logistic regression (multivariate) analysis of risk factors associated with mortality in bacteremic nosocomial pneumonia
Variable | Wald value | Exp(B) (95% confidence interval) | P value |
|---|---|---|---|
Constant | 39.707 | ||
Diagnostic category | |||
Medical | 3.65 | 3.71 (2.01 to 6.95) | 0.02 |
Surgical | 2.34 | 2.32 (1.10 to 4.97) | 0.03 |
Trauma | 1 | ||
SAPS II | 7.033 | 1.02 (1.01 to 1.03) | 0.008 |
Gap pneumonia | 0.518 | 1.01 (0.98 to 1.04) | 0.472 |
Discussion
The present analysis of a large, cohort, prospective, multicenter research study of NP reports that bacteremic episodes cause ICU mortality to be twice that of NB-NP patients. MRSA and A. baumannii (and medical condition on admission compared with trauma) were identified as independent risk factors for developing bacteremia.
To our knowledge, this is the first prospective study examining bacteremic episodes in critically ill patients requiring mechanical ventilation due to NP. The present study reports that 14.6% of NP episodes in European ICUs have bacteremia. Our prevalence is within the range (8 to 20%) of previous studies that included all patients with NP not admitted to the ICU [14, 15], but is lower than that (17.3%) shown in the study of Agbaht and colleagues that only included ICU patients with VAP diagnosis [6].
The response to VAP might vary from compartmentalized forms that account for a local response with minor systemic compromise, whereas systemic spillover or escape of inflammation led to septic shock and bacteremia. VAP is characterized by an exuberant increase in procoagulant activity, which precedes the clinical diagnosis of VAP [16]. A well-known fact, confirmed by in vitro studies, is that S. aureus has a propensity to cause bacteremia. These studies have demonstrated that S. aureus is more adherent than other microorganisms because it exhibits a high adherence manifested by the interaction of plasma fibrinogen with the fibrinogen-binding proteins (the clumping factor) [7]. Strains carrying the clumping factor are known to cause more invasive diseases [17]. As fibrinogen is an acute-phase reactant that is frequently elevated in critically ill patients, increased levels of this molecule have been proposed to potentially increase its adsorption onto the endothelial surface in susceptible patients, thereby allowing more S. aureus to adhere through the fibrinogen receptor [18]. Moreover, fibrin deposits enhance inflammatory responses by increasing vascular permeability, activating endothelial cells to produce proinflammatory mediators, and eliciting recruitment and activation of neutrophils. One alternative explanation may include the immunomodulating properties of S. aureus. This pathogen constitutively has the possibility to release enterotoxins that show superantigen activity and effectively modify the functions of various inflammatory cells [19, 20]. This stimulation may lead to inflammation, aggravating airway disease in both the upper and lower respiratory tracts. In our study, higher SAPS II score and bacteremia were associated with high mortality rates that could be explained by an abnormal inflammatory response which was associated with poor outcomes.
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The main pathogen isolated in blood samples of B-NP patients was S. aureus (35.7%), including methicillin-susceptible S. aureus and MRSA, followed by A. baumannii (17.9%). These results represent the same distribution that Agbaht and colleagues reported in a matched case-control study comparing bacteremic VAP versus nonbacteremic VAP episodes [6]. S. aureus was the pathogen most commonly associated with bacteremia. This pathogen was also the most prevalent microbial etiology (27%) in a prospective study of B-NP [13] and the most prevalent (24%) in a cohort of 112 ICU patients with B-NP [21].
The microbial etiology of HAP affected bacteremia development, since both A. baumannii and, to a lesser extent, MRSA were identified as independent predictors of bacteremia even after adjustment for confounders. A. baumannii exhibits an intrinsic resistance to multiple antimicrobial agents and generates a continuing controversy about whether VAP caused by this microorganism increases morbidity and mortality independently of the effect of other confounding factors in the ICU setting [22‐25]. In contrast to other studies [14, 15], our data show A. baumannii is an important pathogen isolated in respiratory samples of B-NP patients and is also an independent risk factor for bacteremia. A. baumannii has a high level of antibiotic resistance, but with a low virulence [25, 26]. A recent study that compared risk factors and outcomes for bacteremia due to A. baumannii and Klebsiella pneumoniae showed bacteremia due to A. baumannii was significantly more frequent secondary to NP than bacteremia due to K. pneumoniae
[27]. Jamulitrat and colleagues showed that the observed higher mortality rate among patients with an imipenem-resistant A. baumannii bloodstream infection might not be attributable to imipenem resistance but in some part may be due to a more severe illness, inappropriate antimicrobial therapy, and primary source of infection [28].
There are several factors linked with MRSA isolation in VAP episodes: administration of antibiotics before the development of VAP [29, 30] and the length of hospital stay rather than the period of mechanical ventilation were strongly associated with MRSA isolation [31]. Methicillin resistance represents an independent risk factor for a poor outcome, prolonged hospitalization and high hospital costs in VAP episodes [32], even when therapy was appropriate [33]. Interestingly, new antimicrobial development and novel anti-adherence tools based upon fibrinogen-binding protein derivatives [34] might provide new opportunities to improve survival by preventing bacteremic nosocomial pneumonia [35]. The time to initiation of appropriate therapy with a molecular analysis of MRSA isolates and virulence factors would be useful in future research.
Our results show that there is an independent association between MRSA and A. baumannii etiology and development of bacteremia in NP patients; but mortality is associated with bacteremia and severity of disease. These results confirm the concept shown in the study by Agbaht and colleagues, since they also found an independent association between MRSA and bacteremia but mortality was associated with bacteremia rather with MRSA [6]. In addition, the presence of bacteremia has been identified as an independent risk factor for mortality by other authors and included in clinical scores for severity assessment of VAP episodes [36].
The present study has several strengths. Data were generated from a multi-institutional study and represent an interesting sampling from different European ICUs. Our study enrolled patients prospectively and represents a homogeneous population from critical care and mechanically ventilated patients. The original approach from our study was to consider all HAP episodes for analysis since patients, especially those with VAP, have a high chance of multiple drug-resistant pathogens, prior antibiotic therapy and multiple co-morbidities.
The present study also has several potential limitations that should be addressed. This study was observational and non-interventional, in which the participating 27 ICUs from 9 countries were self-selected. The prescription of antibiotics was chosen in accordance with the protocol agreed by the institution. Second, the decision to extract blood cultures was chosen in accordance with local protocols and the physician's clinical decision. Although not all patients who developed NP underwent blood cultures, in the present analysis two out of three patients' blood cultures were subsequently obtained. There was case-mix difference between the participating centers, but all types of ICU were represented with no statistical differences found among bacteremic episodes. We acknowledge that a matched cohort would be more powerful to identify independent risk factors associated with bacteremic episodes. Our analysis included, however, in a backward logistic regression model, all variables identified in univariate analysis and adjusted for severity of disease. Although potential unknown confounding factors might be present, our model presented an adequate goodness of fit.
Conclusions
The present study suggests that predisposition factors such as diagnostic category at admission and infection-related factors such as etiology are associated with higher risk for B-NP. Recognition of these risk factors is relevant for clinical practice, as bacteremia is an independent risk factor for worse outcome in intubated patients with NP. Our findings support the need to perform blood cultures in hospitalized patients with NP.
Key messages
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A total 14.6% of episodes of NP in the European ICUs are bacteremic.
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The main pathogens isolated in blood cultures of B-NP patients are MRSA and A. baumannii.
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Bacteremia is independently associated with a higher mortality rates in patients with NP.
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B-NP episodes are more frequent in patients with medical admission, MRSA and A. baumannii etiology, and prolonged mechanical ventilation.
Acknowledgements
The EU-VAP/CAP Study was endorsed by the European Critical Care Research Network. This study has been supported in part by CIBER Enfermedades Respiratorias (CIBERES 06/0060).
Author list, EU-VAP/CAP Study: Djilali Annane (Raymond Poincaré University Hospital, Garches, France), Rosario Amaya-Villar (Virgen de Rocio University Hospital, Seville, Spain), Apostolos Armaganidis (Attikon University Hospital, Athens, Greece), Stijn Blot (Ghent University Hospital, Ghent, Belgium), Christian Brun-Buisson (Henri-Mondor University Hospital, Paris, France), Antonio Carneiro (Santo Antonio Hospital, Porto, Portugal), Maria Deja (Charite University Hospital, Berlin, Germany), Jan DeWaele (Ghent University Hospital, Ghent, Belgium), Emili Díaz (Joan XIII University Hospital, Tarragona, Catalonia), George Dimopoulos (Attikon University Hospital and Sotiria Hospital, Athens, Greece), Silvano Cardellino (Cardinal Massaia Hospital, Asti, Italy), Jose Garnacho-Montero (Virgen de Rocio University Hospital, Seville, Spain), Mustafa Guven (Erciyes University Hospital, Kayseri, Turkey), Apostolos Komnos (Larisa Hospital, Larisa, Greece), Despona Koulenti (Attikon University Hospital, Athens, Greece and Rovira i Virgili University, Tarragona, Spain), Wolfgang Krueger (Tuebingen University Hospital, Tuebingen and Constance Hospital, Constance, Germany), Thiago Lisboa (Joan XIII University Hospital, Tarragona, Catalonia and CIBER Enfermedades Respiratorias), Antonio Macor (Amedeo di Savoia Hospital, Torino, Italy), Emilpaolo Manno (Maria Vittoria Hospital, Torino, Italy), Rafael Mañez (Bellvitge University Hospital, Barcelona, Catalonia), Brian Marsh (Mater Misericordiae University Hospital, Dublin, Ireland), Claude Martin (Nord University Hospital, Marseille, France), Ignacio Martin-Loeches (Mater Misericordiae University Hospital, Dublin, Ireland), Pavlos Myrianthefs (KAT Hospital, Athens, Greece), Marc Nauwynck (St Jan Hospital, Brugges, Belgium), Laurent Papazian (Sainte Marguerite University Hospital, Marseille, France), Christian Putensen (Bonn University Hospital, Bonn, Germany), Bernard Regnier (Claude Bernard University Hospital, Paris, France), Jordi Rello (Joan XIII University Hospital, Tarragona, Catalonia), Jordi Sole-Violan (Dr Negrin University Hospital, Gran Canarias, Spain), Giuseppe Spina (Mauriziano Umberto I Hospital, Torino, Italy), Arzu Topeli (Hacettepe University Hospital, Ankara, Turkey), and Hermann Wrigge (Bonn University Hospital, Bonn, Germany).
Competing interests
The authors declare that they have no competing interests.
Authors' contributions
MM made substantial contributions to the intellectual content of the paper in acquisition, analysis and interpretation of data, drafting of the manuscript, critical review of the manuscript for important intellectual content and statistical analysis. TL contributed with conception and design, analysis and interpretation of data, drafting of the manuscript, critical review of the manuscript for important intellectual content and statistical analysis. IM-L contributed to acquisition, analysis and interpretation of data, drafting the manuscript and critical review of the manuscript for important intellectual content. RM, MN, HW, SC, ED and DK contributed to acquisition of data and critical review of the manuscript for important intellectual content. JR contributed to the conception and design, critical review of the manuscript for important intellectual content and supervision. All authors read and approved the final manuscript.