Literature DB >> 27256282

From starting mechanical ventilation to ventilator-associated pneumonia, choosing the right moment to start antibiotic treatment.

Paula Ramirez1,2, Cristina Lopez-Ferraz3, Monica Gordon3, Alexandra Gimeno4, Esther Villarreal3, Jesús Ruiz3, Rosario Menendez5,4, Antoni Torres5,6.   

Abstract

BACKGROUND: Ventilator-associated pneumonia (VAP) can have a clear onset or may be a result of the gradual appearance of symptoms and signs of VAP (gradual VAP). The aim of this paper is to describe the VAP development process with the intention of discriminating between those pneumonias with a clear beginning and those that are diagnosed after a period of maturation. In addition, we evaluate the effect of the starting time of antibiotic treatment in both situations.
METHODS: Consecutive ventilated patients fulfilling VAP criteria were included. The patients were monitored for clinical, microbiological, and inflammatory signs. Patients with VAP were classified into two groups: (1) nongradual VAP (patients in whom all VAP criteria were detected for the first time on the day of diagnosis) and (2) gradual VAP (progressive appearance of signs and symptoms throughout the pre-VAP period [<96 h to >24 h before VAP diagnosis]).
RESULTS: A total of 71 patients with VAP were identified, of whom 43 (61 %) had gradual VAP, most of whom (n = 38, 88 %) had late-onset VAP. Antibiotic treatment was given to 34 (79 %) patients with gradual VAP in the pre-VAP period, and empirical antibiotic treatment was appropriate in 22 patients (51 %). The patients with an appropriate empirical treatment had a higher percentage of early clinical response to treatment (68 % [n = 15] vs. 28 % [n = 7]; p = 0.009). An attempt was made to find a diagnostic test capable of identifying the infectious process underway, but clinical scales and biomarkers of inflammation helped us to achieve acceptable results.
CONCLUSIONS: Gradual emergence of VAP, mainly of late onset, is a common condition. Clinicians should be aware of this gradual onset of the infection to establish an early antibiotic treatment, even before the classic diagnostic criteria for VAP are applied.

Entities:  

Keywords:  Appropriate treatment; Inflammatory biomarker; Ventilator-associated pneumonia; Ventilator-associated tracheobronchitis

Mesh:

Substances:

Year:  2016        PMID: 27256282      PMCID: PMC4891899          DOI: 10.1186/s13054-016-1342-1

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


Background

The diagnosis of ventilator-associated pneumonia (VAP) requires compliance with clinical, microbiological, and radiological criteria [1-3]. However, any clinician would be able to report those cases in which, although there are suggestive elements of lung infection, the criteria for a standard VAP diagnosis are not met. In these cases, doctors face the question whether to start an antibiotic treatment. This situation has probably led to the emergence of new diagnostic standards. One of these new approaches has been named ventilator-associated tracheobronchitis (VAT) [4-9]. In fact, lower mortality has been prospectively demonstrated in those patients with VAT appropriately treated with antibiotics [9]. However VAT differs from VAP only by the absence of pulmonary infiltrates on chest x-rays, and pulmonary consolidation can frequently be misdiagnosed on the basis of chest x-rays of mechanically ventilated patients [2, 10]. According to clinical practice, it appears that the progressive development of VAP requires a more complex approach than the radiological differentiation between VAT and VAP. From the start of mechanical ventilation, artificial airway and bacterial colonization pose a challenge to the patient´s host defense system. As a result of this challenge, patients can present with fever, an elevated white cell count, or an increase in the amount of respiratory secretions (and even the development of purulence). A respiratory culture will reveal the presence of microorganisms. Throughout this confrontation, clinicians should recognize the right moment to start antibiotic treatment. We hypothesized the existence of two different pathways to VAP: VAP with a clear onset and VAP arising after a prodromal development period. In this paper, we aim to describe both pathways analyze the effect of starting antibiotic treatment in the early stages.

Methods

Study design and inclusion criteria

We performed a prospective observational study in a 24-bed medical intensive care unit (ICU) of a 1200-bed university hospital over an 18-month period. All patients under mechanical ventilation (for at least 48 h) were followed for the development of VAP. Nonquantitative tracheobronchial aspirates (TBAS) and serum inflammatory biomarkers were analyzed every 48–72 h. Patients with VAP were included in the study and were classified into two groups: (1) gradual VAP and (2) nongradual VAP. The Hospital la Fe Institutional Review Board approved the study, and informed consent was obtained from the patients’ relatives.

Data collection protocol

The following data were collected upon enrollment into the study: sex, comorbidities, and severity scores before intubation (including Acute Physiology and Chronic Health Evaluation II score) [11], Sepsis-related Organ Failure Assessment score [12], and modified Clinical Pulmonary Infection Score [mCPIS] [13]), together with the reason for ICU admission and for starting mechanical ventilation. Pulmonary infection was monitored by means of daily evaluation of signs and symptoms and by calculating the mCPIS. The presence of nonpulmonary infections was established according to Centers for Disease Control and Prevention criteria [14].

Definitions

VAP

VAP was defined as two or more of the following: temperature above 38 °C, white cell count above 12,000/mm3 or below 4000/mm3, or purulent respiratory secretions, plus a new or progressive pulmonary infiltrate on the chest x-ray. VAP confirmation was defined by the quantitative culture of TBAS greater than or equal to 105 cfu/ml2, bronchoalveolar lavage (BAL) with at least 104 cfu/ml, or mini-BAL with at least 103 cfu/ml [1–3, 15].

Gradual VAP

Gradual VAP was defined as presence in the pre-VAP period of purulent respiratory secretions, plus one or both of the following: temperature above 38 °C and a white cell count greater than 12,000/mm3, and without a new or progressive pulmonary infiltrate on a chest x-ray.

Nongradual VAP

Nongradual VAP was defined as VAP not fulfilling gradual VAP criteria.

Pre-VAP period

The pre-VAP period was defined as less than 96 h and more than 24 h before VAP diagnosis. The pre-VAP period is shown in Fig. 1.
Fig. 1

Time frames in the gradual and nongradual ventilator-associated pneumonia (VAP) groups. Colour represents an abrupt VAP onset in the first line and a gradual VAP onset in the second

Time frames in the gradual and nongradual ventilator-associated pneumonia (VAP) groups. Colour represents an abrupt VAP onset in the first line and a gradual VAP onset in the second

Assessment of VAP clinical response at 72 h

Nonresponders were considered as those patients in whom at least one of the following criteria was present: (1) absence of improvement in the ratio of partial pressure of arterial oxygen to fraction of inspired oxygen; (2) persistence of fever (≥38 °C), or hypothermia (<35 °C), together with purulent respiratory secretions; (3) greater than 50 % increase in respiratory infiltrate on a chest x-ray; and (4) the development of septic shock or multiorgan failure [16].

Study of inflammatory markers

Blood samples were centrifuged (1500 rpm for 10 minutes), and the separated serum was frozen at −80 °C. Procalcitonin (PCT) was measured using time-resolved amplification of cryptate emission technology in a KRYPTOR analyzer (B∙R∙A∙H∙M∙S, Berlin, Germany). C-reactive protein (CRP) was measured using an immunoturbidimetric method with a commercially available kit (Tina-quant C-Reactive Protein; Roche Diagnostics, Mannheim, Germany).

Statistical analysis

Continuous variables were compared using Student’s t test for normally distributed variables and the Mann-Whitney U test for nonnormally distributed variables. Categorical variables were compared using the χ2 and Fisher’s exact tests, where appropriate. The threshold for statistical significance of the tests was set at 5 %. Collected data were entered and analyzed using SPSS 15.0 software (SPSS, Chicago, IL, USA).

Results

Description of the population

Four hundred forty patients receiving mechanical ventilation were screened during the study period, and 71 (16 %) patients with VAP were identified. Of these 71 patients, 43 (61 %) had gradual VAP and 28 (39 %) had nongradual VAP (Fig. 2). The reasons for ICU admission and patient comorbidities are summarized in Table 1. Patient characteristics at ICU admission were similar between the two groups.
Fig. 2

Inclusion algorithm. VAP ventilator-associated pneumonia

Table 1

Patient characteristics at intensive care unit admission

All patients (n = 71)Nongradual VAP (n = 28)Gradual VAP (n = 43) p Value
Age, years61 [53–71.5]60 [54.5–73]63 [50–71]0.874
Male sex45 (63 %)15 (53 %)30 (70 %)0.166
Smoking29 (41 %)9 (32 %)20 (46 %)0.229
Alcohol14 (20 %)9 (32 %)5 (12 %)0.034
APACHE II score23 [18.5–28.5]21.5 [18.5–25.5]25 [18.5–31.5]0.166
Comorbidities
 Hypertension32 (45 %)12 (43 %)20 (46 %)0.762
 Diabetes mellitus17 (24 %)8 (28 %)9 (21 %)0.461
 Chronic cardiac failure3 (4 %)03 (7 %)0.171
 Chronic renal failure8 (11 %)2 (7 %)6 (14 %)0.466
 Chronic lung disease/COPD11 (15 %)3 (11 %)8 (19 %)0.469
 Immunosuppression22 (31 %)8 (29 %)14 (32 %)0.723
Reason for intubation
 Respiratory failure29 (41 %)11 (39 %)18 (42 %)0.754
 Cardiovascular failure12 (17 %)5 (18 %)7 (16 %)0.488
 Coma30 (42 %)12 (43 %)18 (42 %)0.813
SOFA11 [7.5–12.5]11 [7–13]11 [8–12]0.928
CPIS4 [3.5–5]4 [3.5–5]4 [3–5]0.431
PaO2/FiO2 195 [100–250]175 [120.5–250]200 [69.5–250]0.816
Temperature, °C36.3 [36–36.9]36.2 [36–36.9]36.5 [36–36.9]0.815
Leukocytes, cells/mm3 11,100 [9150–14,900]11,100 [10600–12,300]11,750 [8500–20,800]0.729
CRP, mg/L28 [0.5–104]111 [6–250]19 [0.5–70.2]0.165
PCT, ng/ml0.26 [0.01–1.44]0.39 [0.01–1.44]0.17 [0.01–0.76]0.743

APACHE II Acute Physiology and Chronic Health Evaluation II, COPD chronic obstructive pulmonary disease, SOFA sepsis organ failure score, CPIS Clinical Pulmonary Infection Score, CRP C-reactive protein, PCT procalcitonin, PaO /FiO ratio of partial pressure of arterial oxygen to fraction of inspired oxygen

Results are expressed as median [interquartile range] for continuous variables and number (%) for categorical variables

Inclusion algorithm. VAP ventilator-associated pneumonia Patient characteristics at intensive care unit admission APACHE II Acute Physiology and Chronic Health Evaluation II, COPD chronic obstructive pulmonary disease, SOFA sepsis organ failure score, CPIS Clinical Pulmonary Infection Score, CRP C-reactive protein, PCT procalcitonin, PaO /FiO ratio of partial pressure of arterial oxygen to fraction of inspired oxygen Results are expressed as median [interquartile range] for continuous variables and number (%) for categorical variables

Pre-VAP period characteristics

Table 2 shows the characteristics of the patients in the pre-VAP period. Patients with gradual VAP had a higher CPIS in the pre-VAP period (5 [5-7] vs. 4 [1.5–5]; p = 0.018). Although not statistically significant, serum CRP was clearly higher in patients with gradual VAP. Airway colonization was more frequent in patients with gradual VAP; the microorganisms involved were Acinetobacter baumannii (33 %), Pseudomonas aeruginosa (18 %), and methicillin-sensitive Staphylococcus aureus (9 %). Most (79 %) of the patients with gradual VAP received antibiotic treatment in the pre-VAP period due to the presence of lung infection symptoms. The antibiotic treatment was appropriate in 51 % of cases (n = 22). None of the patients with nongradual VAP were treated in the pre-VAP period.
Table 2

Patient characteristics in pre-VAP period

All patients (n 71)Nongradual VAP (n 28)Gradual VAP (n 43) p Value
Airway bacterial colonization62 (87 %)19 (68 %)43 (100 %)<0.001
SOFA7.5 [5–10.5]8 [0–10]7 [5.5–10.5]0.922
mCPIS5 [4–6]4 [1.5–5]5 [5–7]0.018
PaO2/FiO2 200 [148–274]200 [140.5–267]200 [164–280]0.596
Temperature, °C37 [36.2–38]36.4 [36–37.9]37.2 [36.6–38]0.05
Leukocytes, cells/mm3 12,400 [7900–16,800]11,550 [8200–17,500]12,700 [7200–16,550]0.984
CRP, mg/L134 [52–208]76 [13.5–164]159 [80–210]0.051
PCT, ng/ml0.83 [0.37–3.96]0.78 [0.27–7.6]0.9 [0.43–2.16]0.953

SOFA sepsis organ failure score, mCPIS modified Clinical Pulmonary Infection Score, CRP C-reactive protein, PCT procalcitonin, PaO /FiO ratio of partial pressure of arterial oxygen to fraction of inspired oxygen, VAP ventilator-associated pneumonia

Results are expressed as median [interquartile range] for continuous variables and number (%) for categorical variables

Patient characteristics in pre-VAP period SOFA sepsis organ failure score, mCPIS modified Clinical Pulmonary Infection Score, CRP C-reactive protein, PCT procalcitonin, PaO /FiO ratio of partial pressure of arterial oxygen to fraction of inspired oxygen, VAP ventilator-associated pneumonia Results are expressed as median [interquartile range] for continuous variables and number (%) for categorical variables

VAP characteristics

Table 3 shows the characteristics of patients at the time of VAP diagnosis (gradual vs. nongradual VAP). No differences could be found with regard to etiology, inflammatory response, severity scores, or outcomes depending on the presence (or not) of a developing period. Late-onset VAP was more common in the gradual VAP group (38 [88 %] vs. 12 [42 %]; p < 0.001). The VAP origin was due to the microorganisms isolated at the time of the developing period in 100 % of cases.
Table 3

Patient characteristics at time of ventilator-associated pneumonia diagnosis

All patients (n = 71)Nongradual VAP (n = 28)Gradual VAP (n = 43) p Value
MV duration before VAP, days7 [4.5–10.5]4.5 [3–9]8 [6.5–11.5]0.002
Early VAP21 (29 %)16 (57 %)5 (12 %)<0.001
SOFA score5.5 [8–11.5]10 [8–12]7 [5–11]0.142
mCPIS score7 [6–8]7 [6–8]7 [6–8]0.908
PaO2/FiO2 197 [137–247]200 [160–282]180 [130–226]0.119
Temperature, °C38 [37–38.7]38 [36.7–38.6]38 [37–38.7]0.928
Leukocytes, cells/mm3 12250 [8050–17,400]12,000 [9100–16,800]12,400 [7500–17,500]0.930
CRP (mg/L)151 [90–315]200 [100–340]132 [73.5–265]0.301
PCT (ng/ml)1.4 [0.5–4.3]1.4 [0.5–6.08]1.4 [0.5–4.1]0.961
Etiology
 Nonfermenting GNB42 (52 %)17 (61 %)25 (58 %)0.829
Enterobacteriaceae 14 (20 %)6 (21 %)8 (19 %)0.770
Staphylococcus aureus 8 (11 %)2 (7 %)6 (14 %)0.315
Haemophilus influenzae 5 (7 %)2 (7 %)3 (7 %)0.661
Streptococcus 1 (1 %)01 (2 %)0.606
Aspergillus 1 (1 %)1 (3 %)00.394
Treatment failure (72 h)39 (55 %)17 (61 %)22 (51 %)0.442
Microbial persistence (72 h)43 (61 %)16 (57 %)27 (63 %)0.361
Relapse8 (11 %)3 (11 %)5 (11 %)0.121
ICU stay, days,)19 [13–29]16 [12–28.5]20.5 [14–29]0.346
Hospital stay, days24 [12–51]19.5 [9–42]29 [16–57]0.054
Days of MV13 [8–18]13.5 [8.5–19.5]12.5 [8–17]0.679
28-day mortality43 (61 %)18 (64 %)25 (58 %)0.605

MV mechanical ventilation, VAP ventilator-associated pneumonia, SOFA Sepsis-related Organ Failure Assessment, mCPIS modified Clinical Pulmonary Infection Score, CRP C-reactive protein, PCT procalcitonin, GNB gram-negative bacteria, PaO /FiO ratio of partial pressure of arterial oxygen to fraction of inspired oxygen, ICU intensive care unit

Results are expressed as median [interquartile range] for continuous variables and number (%) for categorical variables

Patient characteristics at time of ventilator-associated pneumonia diagnosis MV mechanical ventilation, VAP ventilator-associated pneumonia, SOFA Sepsis-related Organ Failure Assessment, mCPIS modified Clinical Pulmonary Infection Score, CRP C-reactive protein, PCT procalcitonin, GNB gram-negative bacteria, PaO /FiO ratio of partial pressure of arterial oxygen to fraction of inspired oxygen, ICU intensive care unit Results are expressed as median [interquartile range] for continuous variables and number (%) for categorical variables Appropriate antibiotic treatment introduced in the pre-VAP period in the gradual VAP group was associated with a higher rate of early clinical response (68 % [n = 15] vs. 28 % [n = 7]; p = 0.009). However, ICU mortality and 28-day mortality were not influenced by the use of appropriate treatment in the pre-VAP period.

Biomarker kinetics

CRP and PCT kinetics from the pre-VAP period to the diagnosis of the infection were analyzed and compared between the two groups (Table 4). In both groups, biomarkers showed an increasing pattern (statistically significant for PCT), except for CRP in gradual VAP.
Table 4

Biomarker kinetics

Pre-VAP CRP (mg/dl)VAP CRP (mg/ml) p ValuePre-VAP PCT (ng/dl)VAP PCT (ng/ml) p Value
Nongradual VAP76 [9.75–186]200 [99–347]0.5650.78 [0.25–9.09]1.41 [0.5–6.2]0.006
Gradual VAP159 [80–210]132 [67.7–268.5]0.5020.9 [0.42–2.35]1.42 [0.56–4.21]0.008

CRP C-reactive protein, PCT procalcitonin, VAP ventilator-associated pneumonia

Biomarker kinetics CRP C-reactive protein, PCT procalcitonin, VAP ventilator-associated pneumonia

Antibiotic treatment guide

Recognized cutoffs for antibiotic guidance in serum PCT (≥0.5 ng/ml and >1 ng/ml) and modified mCPIS (>5 points) were assessed to establish their capacity to identify an ongoing infection. Better rates were achieved with mCPIS (sensitivity 44 %, specificity 92 %, positive predictive value 92 %, negative predictive value 48 %, (Likelihood ratio) LH+ 6.67, LH− 0.60, AUC 0.670, 95 % CI 0.545–0.796; p = 0.016). The AUCs for CRP and PCT were 0.678 and 0.505, respectively. CRP and PCT were ineffective in identifying gradual VAP (Table 5).
Table 5

Identification of gradual ventilator-associated pneumonia with assessment of diagnostic tool parameters

AUC95 % CI p ValueSensitivitySpecificityLikelihood ratio
PositiveNegative
PCT ≥0.5 ng/ml0.5050.332–0.6770.95365401.080.88
CRP ≥54 mg/dl0.6780.493–0.8630.04760491.220.86
mCPIS >5 points0.6700.545–0.7960.01644926.670.60

CRP C-reactive protein, mCPIS modified Clinical Pulmonary Infection Score, PCT procalcitonin

Identification of gradual ventilator-associated pneumonia with assessment of diagnostic tool parameters CRP C-reactive protein, mCPIS modified Clinical Pulmonary Infection Score, PCT procalcitonin

Discussion

To our knowledge, we are the first to describe the concept of gradual VAP. Establishment of gradual VAP is a common process, mainly in the case of late pneumonia. More importantly, our data support the need to initiate proper antibiotic treatment in the early stages of infection without waiting for all the diagnostic criteria for VAP to be met. However, in this study, we were unable to identify effective diagnostic tools for gradual VAP, apart from the usual clinical criteria. In line with the idea proposed by Craven and Hjalmarson [4], our study supports the hypothesis of a continuum between airway colonization, an intermediate process (called ventilator-associated tracheobronchitis in their study), and VAP. During this developing period, the patient’s immune system will attempt to prevent the spread of the organism, and signs of this confrontation will be observable in the form of fever, leukocytosis, and purulent bronchial secretions. This process is typical in late-onset VAP (76 % of late VAP cases in our series were gradual VAP), and its absence is probably justified by the presence of a sudden and large bacterial inoculum into the lung (inoculate at intubation in early VAP, and due to accidental aspiration of subglottic secretions in late VAP). Our results do not support a nosological separation between VAP and VAT. As described in the literature, VAP and VAT are distinguishable only by the presence of visible lung infiltrate on a chest x-ray. However, the discriminative ability of a portable chest x-ray is more than doubtful. In fact, even in community-acquired pneumonia, plain radiography has shown a diagnostic inaccuracy of 17 % compared with chest computed tomography [10]. Nonetheless, the value of studying VAP development lies in antibiotic prescription rather than in a diagnostic disquisition. In our study, appropriate antibiotic treatment introduced in the developing period in gradual VAP was associated with a higher rate of early clinical response. Therefore, identifying the right moment to start antibiotics in this continuum between colonization and VAP seems to be a challenge. PCT may be a valuable tool in this context. Stolz et al. showed a safety algorithm for antibiotic discontinuation based on serum PCT after 72 h of antibiotic treatment in 101 patients with VAP [17]. In our study, gradual VAP showed serum PCT greater than or equal to 0.5 ng/ml during the developing period in 65 % of cases, but this was also true for nongradual VAP in 60 % of cases. According to our results, in the event of suspected VAP, a mCPIS score higher than 5 could indicate antibiotic initiation. However, the lack of sensitivity of mCPIS in our study precludes a safe use of this tool to rule out the existence of an ongoing infectious process. Using a different methodological approach, Singh et al. demonstrated the usefulness of CPIS to safely withdraw antibiotics after 72 h of treatment in patients with an initial but incomplete diagnosis of VAP (CPIS ≤6 points at inclusion) [18]. Our study has several limitations. The sample size is not large and could be responsible for the observed negative results. However, our sample size is not too far removed from that used in studies by Stolz et al. [17] and Singh et al. [18]. Gradual VAP definition is roughly equal to VAT criteria, but in our case it systematically preceded the diagnosis of VAP. In any case, we avoid discussion of labeling of patients, as our objective is to analyze the correct time for starting antibiotic treatment. In this sense, the progression to VAP is marked, despite an appropriate antibiotic treatment. Although this phenomenon has already been described [9], we would need to analyze the characteristics of patients in similar clinical conditions, but without progression to VAP, to get convincing explanations. We believe that nongradual late VAP may be due to accidental inoculation of heavily colonized oropharynx secretions. However, we had little knowledge regarding the existence of this type of incident in such cases. Finally, we must assume that demonstration of the clinical importance of the concept of gradual VAP requires additional studies based on therapeutic interventions. Since this type of intervention may lead to a greater consumption of antibiotics, it should always be associated with an antimicrobial stewardship program.

Conclusions

Not all pneumonias are developed similarly, which is probably due to differences in the pathogenic mechanism. But what is really important is the identification of the infectious process in place, in order to start appropriate antimicrobial therapy. According to our results, antibiotic treatment should not be delayed, even if the patient does not meet the prescriptive diagnostic criteria for VAP.

Abbreviations

APACHE II, Acute Physiology and Chronic Health Evaluation II; BAL, bronchoalveolar lavage; COPD, chronic obstructive pulmonary disease; CPIS, Clinical Pulmonary Infection Score; CRP, C-reactive protein; GNB, gram-negative bacteria; ICU, intensive care unit; mCPIS, modified Clinical Pulmonary Infection Score; MV, mechanical ventilation; PaO2/FiO2, ratio of partial pressure of arterial oxygen to fraction of inspired oxygen; PCT, procalcitonin; SOFA, Sepsis-related Organ Failure Assessment; TBAS, tracheobronchial aspirates; VAP, ventilator-associated pneumonia; VAT, ventilator-associated tracheobronchitis.
  18 in total

1.  Ventilator-associated tracheobronchitis in a mixed surgical and medical ICU population.

Authors:  John Dallas; Lee Skrupky; Nurelign Abebe; Walter A Boyle; Marin H Kollef
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2.  Guidelines for the management of adults with hospital-acquired, ventilator-associated, and healthcare-associated pneumonia.

Authors: 
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3.  CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting.

Authors:  Teresa C Horan; Mary Andrus; Margaret A Dudeck
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4.  Procalcitonin for reduced antibiotic exposure in ventilator-associated pneumonia: a randomised study.

Authors:  D Stolz; N Smyrnios; P Eggimann; H Pargger; N Thakkar; M Siegemund; S Marsch; A Azzola; J Rakic; B Mueller; M Tamm
Journal:  Eur Respir J       Date:  2009-09-24       Impact factor: 16.671

Review 5.  Ventilator-associated tracheobronchitis and pneumonia: thinking outside the box.

Authors:  Donald E Craven; Karin I Hjalmarson
Journal:  Clin Infect Dis       Date:  2010-08-01       Impact factor: 9.079

Review 6.  Ventilator-associated pneumonia.

Authors:  Jean Chastre; Jean-Yves Fagon
Journal:  Am J Respir Crit Care Med       Date:  2002-04-01       Impact factor: 21.405

7.  Causes and predictors of nonresponse to treatment of intensive care unit-acquired pneumonia.

Authors:  Malina Ioanas; Miquel Ferrer; Manuela Cavalcanti; Ricard Ferrer; Santiago Ewig; Xavier Filella; Jordi Puig de la Bellacasa; Antoni Torres
Journal:  Crit Care Med       Date:  2004-04       Impact factor: 7.598

8.  Aerosolized antibiotics and ventilator-associated tracheobronchitis in the intensive care unit.

Authors:  Lucy B Palmer; Gerald C Smaldone; John J Chen; Daniel Baram; Tao Duan; Melinda Monteforte; Marie Varela; Ann K Tempone; Thomas O'Riordan; Feroza Daroowalla; Paul Richman
Journal:  Crit Care Med       Date:  2008-07       Impact factor: 7.598

9.  Effect of ventilator-associated tracheobronchitis on outcome in patients without chronic respiratory failure: a case-control study.

Authors:  Saad Nseir; Christophe Di Pompeo; Stéphane Soubrier; Hélène Lenci; Pierre Delour; Thierry Onimus; Fabienne Saulnier; Daniel Mathieu; Alain Durocher
Journal:  Crit Care       Date:  2005-03-31       Impact factor: 9.097

10.  Antimicrobial treatment for ventilator-associated tracheobronchitis: a randomized, controlled, multicenter study.

Authors:  Saad Nseir; Raphaël Favory; Elsa Jozefowicz; Franck Decamps; Florent Dewavrin; Guillaume Brunin; Christophe Di Pompeo; Daniel Mathieu; Alain Durocher
Journal:  Crit Care       Date:  2008-05-02       Impact factor: 9.097

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2.  How to remove the grey area between ventilator-associated pneumonia and ventilator-associated tracheobronchitis?

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3.  World-Wide Variation in Incidence of Staphylococcus aureus Associated Ventilator-Associated Pneumonia: A Meta-Regression.

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6.  Usefulness of Sepsis-3 in diagnosing and predicting mortality of ventilator-associated lower respiratory tract infections.

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7.  Evaluation of prevention of ventilator-associated infections in four Australian intensive care units.

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8.  Ventilator-associated respiratory infection in a resource-restricted setting: impact and etiology.

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Journal:  J Intensive Care       Date:  2017-12-19
  8 in total

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