Abstract
Purpose
To analyze the impact on patient outcome of ventilator-associated events (VAEs) as defined by the Centers for Disease Control and Prevention (CDC) in 2008, 2013, and the correlation with ventilator-associated pneumonia (VAP) or tracheobronchitis (VAT).
Methods
This was a prospective, observational, multicenter, international study conducted at 13 intensive care units (ICUs); thirty consecutive adults mechanically ventilated for ≥ 48 h per site were eligible, with daily follow-up being recorded in a collaborative web database; VAEs were assessed using the 2013 CDC classification and its 2015 update.
Results
A total of 2856 ventilator days in 244 patients were analyzed, identifying 33 VAP and 51 VAT episodes; 30-day ICU mortality was significantly higher (42.8 vs. 19.6%, p < 0.007) in patients with VAP than in those with VAT. According to the 2013 CDC definitions, 117 VAEs were identified: 113 (96%) were infection-related ventilator-associated complication-plus (IVAC-plus), while possible ventilator-associated pneumonia (PVAP) was found in 64 (56.6%) of them. VAE increased the number of ventilator days and prolonged ICU and hospital LOS (by 5, 11, and 12 days, respectively), with a trend towards increased 30-day mortality (43 vs 28%, p = 0.06). Most episodes (26, 55%) classified as IVAC-plus without PVAP criteria were due to atelectasis. PVAP significantly increased (p < 0.05) ventilator days as well as ICU and hospital LOS (by 10.5, 14, and 13 days, respectively). Only 24 (72.7%) of VAP and 15 (29.4%) of VAT episodes met IVAC-plus criteria.
Conclusions
Respiratory infections (mainly VAT) were the most common complication. VAE algorithms only identified events with surrogates of severe oxygenation deterioration. As a consequence, IVAC definitions missed one fourth of the episodes of VAP and three fourths of the episodes of VAT. Identifying VAT (often missed by IVAC-plus criteria) is important, as VAP and VAT have different impacts on mortality.
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Introduction
Despite progress in the treatment of infectious diseases, ventilator-associated pneumonia (VAP) remains a major infection among adult critically ill patients with overall attributable mortality of 13% [1, 2]. Infections of the lower respiratory tract are the main reason for antibiotic prescription in the intensive care unit (ICU), and they are associated with increased length of stay (LOS) and costs [1, 3, 4].
A global consensus on VAP diagnosis has been difficult to achieve, largely due to the high variability in the interpretation of current definitions and the use of different tests for microbiological confirmation. Moreover, many complications in adult patients receiving mechanical ventilation, such as acute respiratory distress syndrome (ARDS), pulmonary edema, atelectasis, and pulmonary embolisms, may be misinterpreted as respiratory infections due to the lack of specificity of certain diagnostic criteria such as chest X-ray [5]. Previous reports have highlighted the poor correlation between clinical diagnosis of VAP and the histopathology findings [6, 7]. All these limitations have implications for clinical practice, surveillance initiatives, and the design of preventive strategies [8].
In 2013 the Centers for Disease Control and Prevention (CDC) proposed a new diagnostic algorithm for ventilator-associated events (VAEs) based on more objective criteria and easily measurable clinical features. It divided the causes of respiratory worsening in critically ill patients into four tiers: ventilator associated complication (VAC), iInfection-related ventilator associated complication (IVAC), probable ventilator-associated pneumonia, and possible ventilator associated pneumonia. In the 2015 update of this algorithm, probable and possible ventilator-associated pneumonia were amalgamated as possible ventilator-associated pneumonia (PVAP) and a new category, infection-related ventilator-associated complication-plus (IVAC-plus) was created.
The EU-VAE project was developed with the aim of analyzing the different definitions, incidences, risk factors, outcomes and impact of VAEs in non-USA ICUs, according to the 2013 CDC definition and its 2015 update [3, 9]. Preliminary data were reported at ECCMID 2016 and 2017 [10, 11].
Patients and methods
A prospective, observational, international, multicenter study was conducted in 13 ICUs from eight countries (Australia, France, Greece, Iran, Italy, Slovenia, Spain, and Turkey) with the capacity for treating adults with medical or surgical conditions or trauma. Nine (69%) of these ICUs were located in university hospitals.
Persons over 18 years of age who had been on mechanical ventilation for more than 48 h were eligible; the first 30 subjects from each participating center were followed up daily for 30 days. The exclusion criteria were mechanical ventilation for less than 48 h, age below 18, and presence of respiratory viral infection. Only the first episode of VAE in each patient was included in the study. Subjects with incomplete follow-up data were eliminated. Extubation, ICU discharge, or death in the ICU were recorded as outcome end-points. The following characteristics were recorded: age, sex, weight, APACHE II score [12], immunosuppressive therapy, reason for and site of intubation, hospital and ICU LOS, implementation of preventive measures for ventilator-associated respiratory infections (VARI), clinical and laboratory parameters of inflammatory response [13], microbiological data, use of antibiotics, sedation and medical paralysis, fluid balance, and need for tracheostomy during the ICU stay. Daily follow-up data were recorded in a collaborative web database (http://compartint.net/euvae/). The current adult definitions for VAEs implemented in the CDC 2013 National Healthcare Safety Network and its 2015 update [3, 14] were assessed (Table 1). There are three definition tiers within the VAE algorithm: (1) VAE, (2) IVAC, and (3) PVAP (Fig. 1). Cases of VAP or ventilator-associated tracheobronchitis (VAT) were recorded according to the 2008 CDC criteria [15]. In brief, VAP was defined as the presence of a new or progressive and persistent pulmonary infiltrate, consolidation, or cavitation plus at least three of the following in a patient under mechanical ventilation for > 48 h: (1) temperature ≥ 38 °C or ≤ 36 °C with no other recognized cause; (2) leukocyte count ≥ 12,000/mm3 or < 4000/mm3; (3) new onset of purulent tracheal secretions or change in character of sputum, or increased respiratory secretions, or increased suctioning requirements; (4) new-onset or worsening dyspnea or tachypnea; (5) wheezing, rales, or bronchial breath sounds; (6) worsening gas exchange, increased oxygen requirement, or increased ventilator demand; (7) altered mental status in a patient > 70 years old. The definition of VAT [16, 17] was based on the absence of clinical and radiographic evidence of pneumonia and presence of the following criteria: positive culture obtained by deep tracheal aspirate plus at least two of these signs in a patient under mechanical ventilation for > 48 h: fever > 38 °C, new or increased purulent tracheal secretions, rhonchi, or wheezing (Table 1). Quantitative definitions of significant growth in cultures and purulent respiratory secretions are detailed in the electronic supplementary material (ESM) appendixes 2 and 3. Atelectasis was defined as collapse of a part of the lung due to a decrease in the amount of air in the alveoli, resulting in volume loss and increased density. Pulmonary edema was diagnosed based on air space opacification in a classic batwing distribution, possibly accompanied by air bronchograms, with peribronchial cuffing and perihilar haze, septal lines (Kerley lines), and thickening of interlobar fissures. The final diagnosis was established by the investigator based on the radiologist’s interpretation. In unclear cases, lung ultrasound was performed to differentiate opacities [18]. An episode of mechanical ventilation was defined as the period between tracheal intubation (day 1) and 24 h after successful extubation (or disconnection from the ventilator in the case of tracheotomized patients).
Continuous data were reported as medians and interquartile ranges and categorical data as numbers and percentages; the T test or Mann–Whitney test was used for comparison of continuous variables, while the Chi squared test or Fisher’s exact test was used to compare categorical variables. The clustered Wilcoxon rank sum test was used for clustered data following the Datta–Satten method. Relative risks and 95% confidence intervals were calculated; a p value ≤ 0.05 was considered statistically significant and a p value between 0.05 and ≤ 0.10 was considered as showing a trend toward statistical significance. All analyses were performed in R, version 3.4.1 (R Core Team 19).
The study protocol was approved by the institutional review board on human research of each participating center and at Vall d´Hebron University hospital as the coordinating center [PR(AG)28/2014]. Patients, or the relatives of unconscious patients, were asked to provide written consent prior to participating in the study.
Results
The study cohort comprised 244 adults (of a total of 1078 eligible patients) who between them had 2856 ventilator days with full follow-up. A flow-chart showing the patients enrolled and the exclusion criteria can be found in the ESM (appendix 4). The median APACHE II score at admission of the patients included was 20.6 (25–75% IQR 14–27). The ICU LOS was 14 days (25–75% IQR 8–26.2), the hospital LOS was 25 days (25–75% IQR 11.7–45), and 30-day mortality (for the entire cohort) was 21.7%. Almost all patients were intubated within 24 h of hospitalization; sites of and reasons for intubation are detailed in the ESM (appendix 5). The patients’ baseline characteristics are shown in Table 2.
Eighty-four VARI were recorded (29.3 per 1000 ventilator days). Using the 2008 CDC criteria, 33 (39.3%) of these incidents were VAP (12.2 per 1000 ventilator days) and 51 (60.7%) were VAT (17.8 per 1000 ventilator days) (Fig. 2). In addition, 33 (39%) adults with VARI did not meet the criteria of VAE because they did not require sustained positive end-expiratory pressure (PEEP) or Fi02 increase. Patients with VARI had a significantly longer ventilation period than non-VARI patients (excess: 6 days). Details of hospital LOS and mortality can be found in the ESM (appendix 6). Patients classified as having VAP presented higher mortality than VAT patients (42.8 vs 19.6%, p = 0.007). However, no statistically significant differences were observed in number of ventilator days or in ICU or hospital LOS (ESM appendix 7).
Using the 2013 CDC definition (Table 1), 117 episodes of VAE were recorded (40.8 per 1000 ventilator days). VAE were present after a median of 4 days’ ventilation (25–75% IQR 3–7); 59 VAEs (50.9%) developed within the first 4 days of mechanical ventilation (ESM appendixes 10, 11). The main cause of VAE was IVAC-plus (39.6 per 1000 ventilatory days). IVAC-plus accounted for 113 (96%) episodes, 64 (56.6%) of which met the CDC criteria for PVAP (22.3 per 1000 ventilator days). The rest of the events were classified as VAC (5.58 per 1.000 ventilator days). In patients classified as IVAC-plus without PVAP criteria, most episodes were due to atelectasis (26, 55%); a minority (six, 12.7%) were ARDS, and only two (4.2%) were pulmonary edema (Fig. 2). Both VAE and IVAC-plus definitions had a negative predictive value of 98% but predicted VAP in only one out of three adults (ESM appendix 8).
Patients in the VAE group had significant increases in ventilator days (5 days) and in ICU and hospital LOS (11 and 12 days, respectively) compared with the non-VAE group (Table 2). A trend towards an increase in 30-day mortality was observed in the VAE group (43 vs 28%, p 0.065) (Table 2).
PVAP patients had increases (p < 0.05) of 10.5 days of ventilation, 14 days of ICU stay and 13 days of hospital stay compared to patients without PVAP. Compared to VARI, the PVAP group had 4.5 day more days of ventilation (p < 0.027), 6.5 more days in the ICU and 7 days more in hospital (p < 0.05) (ESM appendix 9). Non-significant differences were detected when non-infected patients were compared using either the 2013 or 2015 classifications (non-VARI vs. non-VAE) (appendix 6 ESM). Correlations between the 2008 and 2013 CDC classifications are shown in Fig. 3.
Discussion
To the best of our knowledge, this is the first prospective, international, multicenter study to assess the incidence and outcomes of VAEs in adult ventilated subjects in ICUs. This study identified both VAP and VAT (often missed in earlier studies). Moreover, our study systematically implemented the 2013 CDC classification of VAE and its 2015 update and demonstrated the frequent occurrence of these events in mechanically ventilated adults. Our findings suggest that respiratory infection was the main cause of VAEs, but both the 2013 and 2008 definitions missed a significant proportion of respiratory infections (three out of every four VAT episodes did not meet the criteria of IVAC).
Our findings are consistent with the results of a recent meta-analysis by Fan and colleagues [20] in demonstrating that VAE were associated with increased mortality, more days of mechanical ventilation, and greater hospital LOS than traditional VAP criteria. Worsening in FiO2 and in PEEP are commonly used in clinical practice as surrogates of poor oxygenation [21–23], and both are employed by the VAE definition to detect deterioration in oxygenation. Several studies have reported notable reductions in the time taken to detect VAE when automatic surveillance was used [24, 25]. Not surprisingly, the association between poor oxygenation and outcomes in patients with VAP has previously been reported [21, 22]. In 2012, Klompas et al [23] evaluated the feasibility of 32 possible surveillance definitions for VAP, reporting that only those including quantitative evidence of respiratory deterioration were associated with increased morbidity and mortality. In the same way, the VAE paradigm broadens the spectrum of complications associated with mechanical ventilation, identifying conditions severe enough to cause respiratory worsening, including respiratory infection-related events such as VAP as well as tracheobronchitis and non-infective and extra-pulmonary events. PaO2/FiO2 ratio, the presence of infection, and the level of PEEP [23, 26–28] enhanced the power of VAE surveillance. In our cohort, PVAP was the most frequent complication but non-negligible incidences of atelectasis, ARDS, and pulmonary edema were also documented. Similar results have been reported elsewhere [20, 29, 30], and there is growing evidence that many of these events are preventable [14, 31, 32]. In our study, only 59% of patients with suspicion of pulmonary infection had PVAP and almost 39% of cases were due to a noninfectious event (atelectasis, ARDS, pulmonary edema). In the pediatric population, the presence of VAE was also associated with worse outcomes, including mortality; however, IVAC was less prevalent than in adults. Indeed, the incidence of ARDS and pulmonary edema was lower, while atelectasis was the most frequent event [33, 34]. This confirms that the newer VAE classification moves the focus beyond respiratory infections but selects only the most severe cases.
Our study suggests that identifying VAT (often missed by IVAC-plus criteria) is important, because VAP and VAT have different impacts on mortality. Low agreement has previously been reported between the novel CDC definition and VAP in series in the USA and elsewhere [20, 35, 36]. In the present cohort, almost 30% of VAP cases were not diagnosed as IVAC-plus and only 29% of VAT episodes met the IVAC-plus criteria (Fig. 3). These findings suggest that VAE selects only the most severe cases and discards those without sufficient deterioration in oxygenation to increase the ventilation demands to a level required to reach diagnosis thresholds.
IVAC-plus was the most prevalent event in VAE surveillance and is defined by the suspicion of infection and the beginning of a new antibiotic treatment. The 2015 VAE update [3] amalgamated overall events meeting or exceeding the definition of IVAC into the category IVAC-plus, which includes patients with a confirmed respiratory infection (PVAP) and those with hypoxemia in a non-confirmed pulmonary infectious-related context (IVAC). In our cohort, 43% of IVAC-plus episodes were classified as IVAC, the main causes being atelectasis, ARDS, and pulmonary edema, while the remaining 57% were classified as PVAP and were associated with worse outcomes (Fig. 2). Our study suggests that VAT produced a sustained increase ≥ 2 days in FiO2 ≥ 0.2 or PEEP ≥ 3 cm H2O and fulfilled VAE criteria in around 25% of episodes.
The strengths of our study include the use of a large database with prospective data collection, the inclusion of medical, trauma, and surgical patients, its prospective, multicenter international design and its use of predefined outcomes rather than simply reported rates. This study also has some potential limitations: Its initial design limits the blinding process, which is a potential source of bias. Selection bias is a potential important concern, and due to the heterogeneity of the ICUs’ case mix it might affect generalization. Owing to the high proportion of university hospitals, some of the results might not be globally representative, while the exclusion of children, chronically ill patients, and patients ventilated outside the ICU may limit the extrapolation of the results to other settings. Our cohort presented a lower VAC rate than those reported in previous studies [35, 37], possibly due to differences in institutional antibiotic policies and practices between hospitals. Klompas [38] reported high interobserver variability in diagnosis of respiratory infections, and several studies reported differences in surveillance practice across hospitals [15, 39]; however, these differences could be used to identify variables as independent factors. Finally, given the low incidence of some of the events, the power to demonstrate statistical differences is sometimes limited by small cohort size.
Our study also has important implications that drive new research questions for future developments. There is a need to investigate the effects of new management algorithms for ventilated adults using more subtle definitions of VAE, as has been done in children [33]. Further studies should identify better breakpoints for ventilatory settings and should not omit VAT.
Conclusions
Respiratory infections (mainly VAT) were the most common complications in mechanically ventilated adults. All tiers were associated with significantly worse outcomes. Our findings suggest that the VAE algorithms identified only those events with surrogates of severe oxygenation deterioration. As a consequence, IVAC definitions missed one fourth of the episodes of VAP and three fourths of the episodes of VAT. Identifying VAT (often missed by IVAC-plus criteria) is important, with VAP and VAT having different impacts on patient outcome.
Abbreviations
- ARDS:
-
Acute respiratory distress syndrome
- CDC:
-
Centers for disease control and prevention
- CFU:
-
Colony-forming unit
- ECCMID:
-
European Congress of Clinical Microbiology and Infectious Diseases
- ESM:
-
Electronic supplementary material
- ICU:
-
Intensive care unit
- IVAC:
-
Infection-related ventilator-associated complication
- LOS:
-
Length of stay
- PVAP:
-
Possible ventilator-associated pneumonia
- VAC:
-
Ventilator-associated condition
- VAE:
-
Ventilator-associated event
- VAP:
-
Ventilator-associated pneumonia
- VARI:
-
Ventilator-associated respiratory infection
- VAT:
-
Ventilator-associated tracheobronchitis
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Acknowledgements
This research was carried out as part of a PhD program in Health Science at the Universitat Autónoma de Barcelona, Spain and was supported by the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Infections in Critically Ill Patients (ESGCIP), Basel, Switzerland and by Centro de Investigación Biomédica en Red—CIBERES CB06/06/036, Madrid, Spain. We thank Dr. Vandana KE, India, for English editing of the manuscript and critical comments.
Aliye Bastug, Ankara Numune Training and Research Hospital, Turkey; Amir Vahedian-Azimi, Baqiyatallah University of Medical Sciences, Vanak Square, Tehran, Iran; AsumanInan, Haydarpasa Numune Hospital, Istanbul, Turkey; Benito Almirante Gragera, Vall d´Hebron Barcelona Hospital Campus, Barcelona, Spain; Despoina Koulenti, University of Queensland, Brisbane, Australia and Attikon University Hospital, Athens, Greece; Garyphallia Poulakou, Attikon University Hospital, Athens, Greece; George Dimopoulos, Attikon University Hospital, Athens, Greece; Ilkay Bozkurt, Ondokuz Mayis University, Samsun, Turkey; Igor Muzlovic, University Medical Centre, Ljubljana, Slovenia; Izarne Totorika Hospital Universitario de Donostia, Donostia, Spain; Jordi Rello, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain; Kostoula Arvaniti, Papageorgiou General Hospital, Thessaloniki, Greece; Leonel Lagunes, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain; Lilla Bouadma, Hôpital Bichat-Claude-Bernard, Paris, France; Loreto Vidaur, Hospital Universitario de Donostia, Donostia, Spain; Marina Oikonomou, Papageorgiou General Hospital, Thessaloniki, Greece; MatteoBassetti, Infectious Diseases Clinic, Santa Maria Misericordia Hospital, University of Udine, Udine, Italy; Nefise Oztoprak, Antalya Education and Research Hospital, Turkey; Saad Nseir, Hospital Universitaire Lille, Lille, France; Sergio Ramírez-Estrada, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain; Yolanda Peña-López, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain
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Ramírez-Estrada, S., Lagunes, L., Peña-López, Y. et al. Assessing predictive accuracy for outcomes of ventilator-associated events in an international cohort: the EUVAE study. Intensive Care Med 44, 1212–1220 (2018). https://doi.org/10.1007/s00134-018-5269-7
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DOI: https://doi.org/10.1007/s00134-018-5269-7