A universal definition of ARDS: the PaO2/FiO2 ratio under a standard ventilatory setting—a prospective, multicenter validation study (original) (raw)

Abstract

Purpose

The PaO2/FiO2 is an integral part of the assessment of patients with acute respiratory distress syndrome (ARDS). The American-European Consensus Conference definition does not mandate any standardization procedure. We hypothesized that the use of PaO2/FiO2 calculated under a standard ventilatory setting within 24 h of ARDS diagnosis allows a more clinically relevant ARDS classification.

Methods

We studied 452 ARDS patients enrolled prospectively in two independent, multicenter cohorts treated with protective mechanical ventilation. At the time of ARDS diagnosis, patients had a PaO2/FiO2 ≤ 200. In the derivation cohort (n = 170), we measured PaO2/FiO2 with two levels of positive end-expiratory pressure (PEEP) (≥5 and ≥10 cmH2O) and two levels of FiO2 (≥0.5 and 1.0) at ARDS onset and 24 h later. Dependent upon PaO2 response, patients were reclassified into three groups: mild (PaO2/FiO2 > 200), moderate (PaO2/FiO2 101–200), and severe (PaO2/FiO2 ≤ 100) ARDS. The primary outcome measure was ICU mortality. The standard ventilatory setting that reached the highest significance difference in mortality among these categories was tested in a separate cohort (n = 282).

Results

The only standard ventilatory setting that identified the three PaO2/FiO2 risk categories in the derivation cohort was PEEP ≥ 10 cmH2O and FiO2 ≥ 0.5 at 24 h after ARDS onset (p = 0.0001). Using this ventilatory setting, patients in the validation cohort were reclassified as having mild ARDS (n = 47, mortality 17 %), moderate ARDS (n = 149, mortality 40.9 %), and severe ARDS (n = 86, mortality 58.1 %) (p = 0.00001).

Conclusions

Our method for assessing PaO2/FiO2 greatly improved risk stratification of ARDS and could be used for enrolling appropriate ARDS patients into therapeutic clinical trials.

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Introduction

In 1967, Ashbaugh et al. [1] published the first clinical description of a syndrome they termed the acute respiratory distress syndrome (ARDS). Since that time, the hallmark of this syndrome has included: (1) a risk factor for the development of ARDS (i.e. sepsis, trauma, pneumonia, and aspiration), (2) severe hypoxemia with high FiO2, (3) bilateral pulmonary infiltrates, and (4) no clinical evidence of cardiogenic pulmonary edema [2, 3].

Although there is a general agreement on the overall criteria on which to base a definition of ARDS, the specific values and conditions of measurement of the oxygenation defect vary greatly among clinicians and scientists. Thus, the original description of ARDS was incapable of identifying a uniform group of patients [4]. A more precise definition is necessary since the effects on outcome of certain ventilatory and adjunctive techniques could vary depending on the degree of lung injury at the time of enrollment into clinical trials [5, 6]. In 1994, an American-European Consensus Conference (AECC) [7] formalized the criteria for the clinical diagnosis of ARDS, although this definition has been challenged over the years [4, 8].

We designed this prospective, multicenter study to determine whether a standard ventilatory setting [specific level of positive end-expiratory pressure (PEEP) and FiO2] applied within the first 24 h after patients first met AECC ARDS criteria would identify patients with mild, moderate, or severe degrees of lung injury. We hypothesized that the value of the PaO2/FiO2 calculated under a defined standard ventilatory setting within 24 h of ARDS onset will allow a better phenotypic classification and risk stratification of patients with ARDS during protective mechanical ventilation (MV), independent of the underlying disease or specific therapy applied.

Methods

This study was approved by the Ethics Committees for Clinical Research at the coordinating center (Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain, CEIC-2008/1029) and the Hospital Virgen de La Luz, Cuenca, Spain (CEIC-2008/0715) [see electronic supplementary material (ESM) for details].

Study populations

We analyzed data from 452 adult patients included prospectively in two independent, multicenter, longitudinal cohorts who met all AECC criteria for ARDS [7] (see ESM for details). All patients were mechanically ventilated with a lung protective MV strategy. The derivation cohort comprised 170 ARDS patients admitted in a network of 15 Spanish intensive care units (ICUs) from May 2004 to October 2005. Although these patients were assessed previously for identifying patients with persistent ARDS and those results were published elsewhere [8], none of the outcome data reported in the present study have been published. For the purpose of this study, we performed a secondary analysis of our prior database from these 170 patients using three different PaO2/FiO2 thresholds (>200, 101–200, and ≤100 mmHg).

We prospectively evaluated these PaO2/FiO2 thresholds in an independent cohort for predictive validity. The validation cohort consisted of 282 consecutive patients who met the AECC definition and were admitted from September 2008 to December 2009 in a network of ICUs from 17 Spanish hospitals (see "Appendix"). Some patients from this cohort were used for reporting the 1-year ARDS incidence in Spain [9]. However, none of the outcome data reported in the present study has been published elsewhere.

Patient classification

At the time of ARDS onset (baseline), we examined whether there were significant differences in the overall ICU mortality between patients with a PaO2/FiO2 ≤ 100 mmHg and a PaO2/FiO2 > 100 mmHg, regardless of applied PEEP and FiO2. Our goal was to determine a PaO2/FiO2 classification/prognosis system based on a usual care setting.

Then, we examined in the derivation cohort to see whether standard ventilatory settings applied on the day patients met ARDS AECC criteria or 24 h later identified groups of patients with different lung injury severity (as assessed by changes in PaO2/FiO2) and ICU outcome. Patients were examined under the following standard ventilatory settings: volume assist/control mode, tidal volume (V T) 7 ml/kg PBW, inspiratory:expiratory time ratio (I:E) < 1:1, ventilator rate to maintain PaCO2 of 35–50 mmHg plus the following FiO2 and PEEP settings applied in the following order: (1) FiO2 ≥ 0.5 with PEEP ≥ 5 cmH2O, (2) FiO2 ≥ 0.5 with PEEP ≥ 10 cmH2O, (3) FiO2 = 1.0 with PEEP ≥ 5 cmH2O, and (4) FiO2 = 1.0 with PEEP ≥ 10 cmH2O. Thus, a total of eight PEEP-FiO2 settings were evaluated: four at the onset of ARDS and the same four 24 h later. The precise rules for adjusting FiO2 and PEEP during the standard ventilator settings have been reported elsewhere [8] (see ESM).

Patients who had a PaO2/FiO2 > 200 mmHg were reclassified as having “mild” ARDS, a PaO2/FiO2 between 101 and 200 mmHg as “moderate” ARDS, and a PaO2/FiO2 ≤ 100 mmHg as “severe” ARDS. The standard ventilatory setting that reached the highest statistical differences in ICU mortality among the three PaO2/FiO2 categories in the derivation cohort was chosen as the only setting for prospective evaluation in the validation cohort.

Data collection and analysis

We recorded demographic, gas-exchange, MV, and hemodynamic data at the time of ARDS onset, on days 0, 1, 3, and 7, and the last day of MV (see ESM for details). Data are expressed as percentages, mean ± standard deviation (SD), or medians and interquartile ranges (IQR). Differences between ICU mortality rates among groups for different settings were analyzed by Pearson’s χ 2 or Fisher’s exact tests. For continuous variables, the data were evaluated by analysis of variance and the Kruskal-Wallis test. We used the Mann-Whitney U rank test for variables with non-normal distribution. Probability of 28-day survival was analyzed for all three ARDS phenotypes in the validation cohort according to the Kaplan-Meier method, and the results were compared with the log-rank test. The 95 % confidence intervals (CI) for ICU mortality rate were computed using Jeffrey’s interval for a binomial proportion. For all these comparisons, a two-sided p value < 0.05 was considered statistically significant.

Results

Baseline data of patient populations

Main baseline characteristics of the 452 ARDS patients are displayed in Table 1. The overall ICU mortality was 38.9 %. The overall hospital mortality was 42 %. Mean V T and mean PaO2/FiO2 were significantly lower in the validation cohort. Sepsis, bacterial pneumonia, and multiple traumas were the most common causes of ARDS. The distribution of pulmonary and non-pulmonary causes of ARDS was similar in both cohorts.

Table 1 Main demographics, physiology, and clinical parameters at study entry of 452 patients with the acute respiratory distress syndrome (ARDS)

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Figure 1 represents the flow diagram of the study. All patients at study entry had a PaO2/FiO2 ≤ 200 mmHg: 21.2 % of patients (n = 36) from the derivation cohort and 46.4 % of patients (n = 131) from the validation cohort had a PaO2/FiO2 ≤ 100 mmHg (Fig. 2). Overall ICU mortality was significantly higher in patients with a baseline PaO2/FiO2 ≤ 100 mmHg than in patients with a baseline PaO2/FiO2 > 100 mmHg (50 vs. 29.1 %, p = 0.028 for the derivation cohort; 51.9 vs. 33.8 %, p = 0.002 for the validation cohort). However, ICU mortality was non-significantly different in both cohorts for the same baseline PaO2/FiO2 category (50 vs. 51.9 %, p = 0.853 for patients with PaO2/FiO2 ≤ 100 mmHg; 29.1 vs. 33.8 %, p = 0.444 for patients with PaO2/FiO2 > 100 mmHg) (Fig. 2).

Fig. 1

figure 1

Flow diagram of the study. AECC American-European Consensus Conference, ARDS acute respiratory distress syndrome, PEEP positive end-expiratory pressure, P/F PaO2/FiO2 ratio

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Fig. 2

figure 2

Classification of 452 patients from two cohorts of patients with the acute respiratory distress syndrome (ARDS) according to the baseline value of the PaO2/FiO2 ratio measured at the time of meeting American-European Consensus Conference criteria for ARDS. Mean baseline PEEP levels for each subgroup at the time at ARDS onset are displayed below each bar

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Phenotype ARDS classification based on standard ventilatory settings

Derivation cohort

The responses to the four standard ventilatory settings at ARDS onset and at 24 h in the 170 patients from the derivation cohort are displayed in Table 2 (see ESM for details). We found that many patients did not continue to meet the AECC ARDS definition (PaO2/FiO2 increased to >200 mmHg in 56 cases after ARDS onset and 95 cases at 24 h). At ARDS onset, none of the four ventilatory settings were capable of separating patients into subgroups with significantly different ICU mortalities.

Table 2 Classification of 170 ARDS patients from the derivation cohort into three phenotypic categories based on the PaO2 response to four ventilatory settings at the time of ARDS diagnosis (ARDS onset) and at 24 h

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At 24 h after ARDS onset, the only ventilatory setting that significantly correlated the ranges of PaO2/FiO2 ratios with ICU mortality was FiO2 ≥ 0.5 with PEEP ≥ 10 cmH2O. More than half of the patients (66.7 %, n = 24) with a baseline PaO2/FiO2 ≤ 100 mmHg progressed to a PaO2/FiO2 > 100 at 24 h under this standard ventilator setting, while only 12.7 % of patients (n = 17) with a PaO2/FiO2 > 100 progressed to a PaO2/FiO2 ≤ 100. Under this ventilator setting, and regardless of the PaO2/FiO2 at ARDS onset, 71 patients (41.8 %) were classified as having mild ARDS (PaO2/FiO2 > 200 mmHg, ICU mortality 16.9 %), 70 patients (41.2 %) were classified as having moderate ARDS (PaO2/FiO2 101–200 mmHg, ICU mortality 41.4 %), and 29 patients (17 %) were classified as having severe ARDS (PaO2/FiO2 ≤ 100 mmHg, ICU mortality 55.2 %) (p < 0.0001) (Table 2). This was the standard ventilator setting tested in the validation cohort.

Validation cohort

Using the FiO2 ≥ 0.5 with PEEP ≥ 10 cmH2O ventilatory setting at 24 h after ARDS onset in the 282 patients from the validation cohort, 16.7 % of patients (n = 47) were reclassified as having mild ARDS [ICU mortality 17 % (95 %CI 6.3–27.7 %)], 52.8 % of patients (n = 149) were reclassified as having moderate ARDS [ICU mortality 40.9 % (95 %CI 33.6–48.2 %)], and less than a third of patients (30.5 %, n = 86) were reclassified as having severe ARDS [ICU mortality 58.1 % (95 %CI 47.7–68.5 %)] (p = 0.00001) (Fig. 3). More than half of patients (52.7 %, n = 69) with a baseline PaO2/FiO2 ≤ 100 mmHg at ARDS onset progressed to a PaO2/FiO2 > 100 at 24 h, while only 15.9 % (n = 24) with a PaO2/FiO2 > 100 mmHg progressed to a PaO2/FiO2 ≤ 100. Five patients (out of 47 patients with “mild” ARDS) had a PaO2/FiO2 > 300 mmHg at 24 h, and their ICU mortality was 0 %.

Fig. 3

figure 3

Classification of 282 patients from the validation cohort into severe, moderate, and mild acute respiratory distress syndrome (ARDS) at 24 h after ARDS onset, based on the only standard ventilatory setting that best categorized patients in the derivation cohort (PEEP ≥ 10 cmH2O on FiO2 ≥ 0.5). P value refers to statistical differences in mortality rates among the three new categories of ARDS. CI confidence interval

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The 28-day probability of survival for patients included in the validation cohort after ARDS onset clearly separated ARDS patients into three phenotypes defined by a standard ventilatory setting at 24 h (p < 0.0001) (Fig. 4).

Fig. 4

figure 4

Kaplan-Meier 28-day probability of survival curves for the three phenotypes of 282 patients with the acute respiratory distress syndrome (ARDS) from the validation cohort classified by their response to FiO2 ≥ 0.5 plus PEEP ≥ 10 cmH2O at 24 h of ARDS onset (see text for details). More than half of deaths (55.3 %) occurred within the first 15 days of inclusion into the study: 38 of 53 deaths (71.7 %) in the severe ARDS subgroup, 31 of 68 deaths (45.6 % in the moderate ARDS subgroup, and 4 of 11 deaths (36.4 %) in the mild ARDS subgroup

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When these three ARDS phenotypes (mild, moderate, severe) were analyzed separately, we found significant differences in mean plateau pressures among the three categories (Table 3). In general, maximum FiO2, maximum PEEP, maximum plateau pressure, and number of organ dysfunctions developed during the ICU stay were higher in patients with “severe” ARDS (Table 4).

Table 3 Demographics, physiology, and clinical parameters at ARDS onset in 282 ARDS patients from the validation cohort classified by categories based on the response at 24 h to PEEP ≥ 10 cmH2O and FiO2 ≥ 0.5

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Table 4 General data during intensive care unit stay of 282 ARDS patients of the validation cohort reclassified by categories based on the response at 24 h of ARDS onset to PEEP ≥ 10 cmH2O and FiO2 ≥ 0.5

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Discussion

This is the first prospective report demonstrating that phenotypic classification of ARDS patients, treated under current MV practices, can be separated into three distinct categories. The findings of this study have two major implications: (1) we cannot rely on the AECC ARDS definition for selecting a population of ARDS patients with a similar level of lung injury, and (2) it establishes a standardized method for assessing the severity of lung injury for enrolling appropriate ARDS patients into therapeutic clinical trials.

The idea of using standard ventilatory settings for ARDS diagnosis has been explored previously [4, 8, 10], but its use has not been advocated worldwide. We were the first to report that after evaluating the PaO2/FiO2 response under a specific standard ventilator setting, patients meeting the AECC ARDS criteria had variable levels of lung injury and outcome [4, 8]. It is well established that changes in PEEP and FiO2 alter the PaO2/FiO2 values in lung-injured patients [1113]. The FiO2 level at which the PaO2/FiO2 ratio is measured should be carefully defined when specifying diagnostic criteria for ARDS. It is also well known that the use of PEEP can improve oxygenation sufficiently to change the physiology in the lung such that the patient does not meet the criteria for ARDS [12]. Therefore, a patient could fit the ARDS criteria when the PaO2 is measured with zero PEEP but not when measured at a PEEP of 5 or 10 cmH2O or when measured on FiO2 = 0.35 but not when measured on FiO2 = 0.5 [4, 10] (see ESM for further discussion).

At the time of preparing this manuscript for submission, a proposal for an update of the AECC ARDS definition was published by a task force panel of experts using similar terminology [14]. Using a teleconference and in-person discussion approach and retrospective data, they proposed an ARDS classification in three severity categories (mild, moderate, and severe) for empirical evaluation. The panel used seven data sets: four muticenter studies (enrolling 4,188 patients with a PaO2/FiO2 ≤ 300 mmHg) and three-single-center studies (enrolling 269 patients). By categorizing patients from the multicenter studies according to three cutoff PaO2/FiO2 values (>200/≤300, >100/≤200, and ≤100 mmHg) on PEEP ≥ 5 cmH2O, they found that hospital mortality increased with every stage of severity (27, 32, and 45 %, respectively). In the database from the 3 small, single-center studies comprising 269 patients, the hospital mortality increased as well with every stage of ARDS (20, 41, 52 %). Although encouraging, those results may not be generalizable and are difficult to compare with our study for several methodological reasons.

First, none of the patients included in the empirical analysis were prospectively enrolled for the purpose of revising the ARDS definition and/or evaluating risk stratification. Second, the categorization of patients was done based on the PaO2/FiO2 value at the time of inclusion into their respective observational study or randomized clinical trial. There is no information on whether those baseline values of PaO2/FiO2 were calculated at the time of ARDS onset or whether the PaO2 was measured under a specific FiO2 and PEEP level. In our study, PaO2/FiO2 was always calculated from the PaO2 values measured 30 min after each standard ventilator setting under a specified FiO2 and PEEP level after meeting the AECC ARDS criteria. Third, 24 % of patients included in the empirical analysis had a PaO2/FiO2 > 200 at the time of enrollment. We did not include those patients in our study because in many centers these patients do not require endotracheal intubation and invasive MV. Fourth, the empirical definition does not consider the level of FiO2 for PaO2/FiO2 categorization despite the fact that changes in the applied FiO2 results in changes in PaO2/FiO2 [8, 13]. In addition, since it is likely that a significant proportion of patients included in those multicenter studies were on FiO2 < 0.5 at the time of study enrollment, there is no information on how many patients could not meet ARDS criteria if evaluated at a minimum level of FiO2 = 0.5. Fifth, 518 patients were eliminated from the empirical analysis because PEEP was missing or <5 cmH2O. In our prospective study, we did not exclude any patients based on baseline PEEP or FiO2. Sixth, since there was no standardization of ventilator settings at the time PaO2 was measured, and since more than 50 % of patients were on PEEP < 10 cmH2O at baseline, the basis for selecting 5 cmH2O PEEP is not well supported. In the derivation cohort of our study, we found that 5 cmH2O PEEP did not reach statistical significance when comparing PaO2/FiO2 categories and ICU mortality. Seventh, the four multicenter studies were a case mix of observational studies and clinical trials performed from 1996 to 2000 where patients were ventilated with a mean V T ≥ 10 ml/kg predicted body weight and low levels of PEEP and studies performed after 2000 when patients were ventilated with a lower V T. In our series, all patients were ventilated with a lung protective strategy (low V T and moderate to high levels of PEEP). In summary, we think that the use of the Berlin empirical definition for ARDS to enroll patients into clinical trials may result in the inclusion of patients with highly variable severity of lung injury and mortalities. For example, in our study, if patients were classified as having severe ARDS by the Berlin criteria, more than half of them would not have severe ARDS by 24 h. Consequently, it can be argued that the Berlin proposal for modifying the AECC ARDS definition fails to provide a true risk assessment of ARDS patients.

Our study suggests that the PaO2/FiO2 ratio can be used to differentiate groups of patients at highest risk for adverse clinical outcomes, as has been suggested by others [15]. Measuring PaO2/FiO2 under a universal, standard ventilatory setting at 24 h after ARDS onset could help to identify and select patients with different risks of deaths for clinical trials. Our proposed classification based on the assessment of the PaO2/FiO2 values under a standard ventilator setting at 24 h after ARDS onset meets most of the criteria proposed by Shehabi and Seppelt [16] when seeking an ideal biomarker: “a SMART biomarker is Sensitive, Measurable (with a high degree of precision), Available (Affordable and safely Attainable), and Responsive (and Reproducible) in a Timely fashion to expedite clinical decision making”. A persistently low PaO2/FiO2 is associated with the worst outcome and may be a marker of failure to respond to conventional therapy [17]. Thus, patients in the severe ARDS category may require additional treatments to improve outcome [6] and benefits from current supportive measures in patients categorized as having “mild” ARDS (PaO2/FiO2 > 200), may be limited, deleterious, or disproportional to the resources used (see ESM for further discussion).

The present study has some limitations and strengths. First, in the validation cohort we have only evaluated one out of eight possible choices of ventilatory settings that were examined in the derivation cohort. Second, we cannot fully confirm that the highly significant predictive validity of changes in PaO2/FiO2 within the first 24 h under a specific standard ventilatory setting combines the effects of disease progression with the phenotypic reclassification. However, our findings suggest that a given standard ventilatory setting is needed to adjust for confounding by disease progression: it seems that patients who are getting better early in the course do better, and those who decline over the first 24 h do worse. Third, regarding the potential concerns for waiting 24 h for enrolling patients into therapeutic trials (if patients must be assessed by a PEEP-FiO2 trial at 24 h after ARDS onset), it is important to emphasize that almost all published randomized controlled trials in ARDS enrolled patients ≥24 h after ARDS diagnosis [10, 1830]. Although in future therapeutic clinical trials the goal may be to enroll severe ARDS patients within the first few hours after ARDS onset, our study suggests that to guarantee that enrolled patients are representative of the target population, randomization should not occur until patients qualify as severe ARDS at 24 h. If patients are not qualified at 24 h, it is plausible that an imbalance in the distribution of patients with severe ARDS may occur and, consequently, a potential failure of a useful intervention or the demonstration that a useless intervention is beneficial (see ESM for further discussion).

In conclusion, our findings suggest that calculating the PaO2/FiO2 under a specific, standard ventilatory setting (FiO2 ≥ 0.5 with PEEP ≥ 10 cmH2O) no later than 24 h after ARDS onset helped to stratify patients into mild, moderate, and severe phenotypic categories of acute lung injury. Therefore, a standard method for assessing the severity of lung injury should be part of usual care for classifying patients’ outcomes and enrolling appropriate ARDS patients into therapeutic clinical trials.

References

  1. Ashbaugh DG, Bigelow DB, Petty TL, Levine BE (1967) Acute respiratory distress in adults. Lancet 2:319–323
    Article PubMed CAS Google Scholar
  2. Ware LB, Matthay MA (2000) The acute respiratory distress syndrome. N Engl J Med 342:1334–1349
    Article PubMed CAS Google Scholar
  3. Villar J (2011) What is the acute respiratory distress syndrome? Respir Care 56:1539–1545
    Article PubMed Google Scholar
  4. Villar J, Pérez-Méndez L, Kacmarek RM (1999) Current definitions of acute lung injury and the acute respiratory distress syndrome do not reflect their true severity and outcome. Intensive Care Med 25:930–935
    Article PubMed CAS Google Scholar
  5. Briel M, Meade M, Mercat A, Brower RG, Talmor D, Walter SD et al (2010) Higher vs lower positive end-expiratory pressure in patients with acute lung injury and acute respiratory distress syndrome: systematic review and meta-analysis. JAMA 303:865–873
    Article PubMed CAS Google Scholar
  6. Sud S, Friedrich JO, Taccone P, Polli F, Adhikari NK, Latini R et al (2010) Prone ventilation reduces mortality in patients with acute respiratory failure and severe hypoxemia: systematic review and meta-analysis. Intensive Care Med 36:585–599
    Article PubMed Google Scholar
  7. Bernard GR, Artigas A, Brigham KL, Carlet J, Falke K, Hudson L et al (1994) The American-European Consensus Conference on ARDS. Am J Respir Crit Care Med 149:818–824
    PubMed CAS Google Scholar
  8. Villar J, Pérez-Méndez L, López J, Belda J, Blanco J, Saralegui I et al (2007) An early PEEP/FIO2 trial identifies different degrees of lung injury in patients with acute respiratory distress syndrome. Am J Respir Crit Care Med 176:795–804
    Article PubMed Google Scholar
  9. Villar J, Blanco J, Añón JM, Santos-Bouza A, Blanch L, Ambrós A, Gandía F, Carriedo D, Mosteiro F, Basaldúa S, Fernández RL, Kacmarek RM, ALIEN Network (2011) The ALIEN study: incidence and outcome of acute respiratory distress syndrome in the era of lung protective ventilation. Intensive Care Med 37:1932–1941
    Article PubMed Google Scholar
  10. Ferguson ND, Kacmarek RM, Chiche JD, Singh JM, Hallet DC, Mehta S, Stewart TE (2004) Screening of ARDS patients using standardized ventilator settings: influence on enrollment in a clinical trial. Intensive Care Med 30:1111–1116
    Article PubMed Google Scholar
  11. Santos C, Ferrer M, Roca J, Torres A, Hernández C, Rodriguez-Roisin R (2000) Pulmonary gas exchange response to oxygen breathing in acute lung injury. Am J Respir Crit Care Med 161:26–31
    PubMed CAS Google Scholar
  12. Gattinoni L, Pesenti A, Bombino M, Baglioni S, Rivolta M, Rossi G et al (1988) Relationships between lung computed tomographic density, gas exchange, and PEEP in acute respiratory failure. Anesthesiology 69:824–832
    Article PubMed CAS Google Scholar
  13. Karbing DS, Kjaergaard S, Smith BW, Espersen K, Allerød C, Andreassen S, Rees SE (2007) Variation in the PaO2/FiO2 ratio with FiO2: mathematical and experimental description, and clinical relevance. Crit Care 11:R118
    Article PubMed Google Scholar
  14. The ARDS Definition Task Force (2012) Acute Respiratory Distress Syndrome. The Berlin definition. JAMA 307:2526–2533
    Google Scholar
  15. González-Castro A, Llorca J, Burón J, Suberviola B, Vallejo A, Miñambres E (2007) Evaluation of the oxygenation ratio as long-term prognostic marker after lung transplantation. Transplant Proc 39:2422–2424
    Article PubMed Google Scholar
  16. Shehabi Y, Seppelt I (2008) Pro/Con debate: is procalcitonin useful for guiding antibiotic decision making in critically ill patients? Crit Care 12:211
    Article PubMed Google Scholar
  17. Ware LB (2005) Prognostic determinants of acute respiratory distress syndrome in adults: impact on clinical trial design. Crit Care Med 33:S217–S222
    Article PubMed Google Scholar
  18. Amato MB, Barbas CS, Medeiros DM, Magaldi RB, Schettino GP, Lorenzi-Filho G, Kairalla RA, Deheinzelin D, Munoz C, Oliveira R, Takagaki TY, Carvalho CR (1998) Effect of a protective-ventilation strategy on mortality in the acute respiratory distress syndrome. N Engl J Med 338:347–354
    Article PubMed CAS Google Scholar
  19. Brochard L, Roudot-Thoraval F, Roupie E, Delclaux C, Chastre J, Fernandez-Mondéjar E, Clémenti E, Mancebo J, Factor P, Matamis D, Ranieri M, Blanch L, Rodi G, Mentec H, Dreyfuss D, Ferrer M, Brun-Buisson C, Tobin M, Lemaire F (1998) Tidal volume reduction for prevention of ventilator-induced lung injury in acute respiratory distress syndrome. The Multicenter Trail Group on Tidal Volume reduction in ARDS. Am J Respir Crit Care Med 158:1831–1838
    PubMed CAS Google Scholar
  20. Ranieri VM, Suter PM, Tortorella C, De Tullio R, Dayer JM, Brienza A, Bruno F, Slutsky AS (1999) Effect of mechanical ventilation on inflammatory mediators in patients with acute respiratory distress syndrome: a randomized controlled trial. JAMA 282:54–61
    Article PubMed CAS Google Scholar
  21. Network ARDS (2002) Randomized, placebo-controlled trial of lisofylline for early treatment of acute lung injury and acute respiratory distress syndrome. Crit Care Med 30:1–6
    Article Google Scholar
  22. Spragg RG, Lewis JF, Walmrath HD, Johannigman J, Bellingan G, Laterre PF, Witte MC, Richards GA, Rippin G, Rathgeb F, Häfner D, Taut FJ, Seeger W (2004) Effect of recombinant surfactant protein C-based surfactant on the acute respiratory distress syndrome. N Engl J Med 351:884–892
    Article PubMed CAS Google Scholar
  23. Guerin C, Gaillard S, Lemasson S, Ayzac L, Girard R, Beuret P, Palmier B, Le QV, Sirodot M, Rosselli S, Cadiergue V, Sainty JM, Barbe P, Combourieu E, Debatty D, Rouffineau J, Ezingeard E, Millet O, Guelon D, Rodriguez L, Martin O, Renault A, Sibille JP, Kaidomar M (2004) Effects of systematic prone positioning in hypoxemic acute respiratory failure: a randomized controlled trial. JAMA 292:2379–2387
    Article PubMed CAS Google Scholar
  24. Brower RG, Lanken PN, MacIntyre N, Matthay MA, Morris A, Ancukiewicz M, Schoenfeld D, Thompson BT, National Heart, Lung, and Blood Institute ARDS Clinical Trials Network (2004) Higher versus lower positive end-expiratory pressures in patients with the acute respiratory distress syndrome. N Engl J Med 351:327–336
    Article PubMed Google Scholar
  25. Villar J, Kacmarek RM, Pérez-Méndez L, Aguirre-Jaime A (2006) A high positive end-expiratory pressure, low tidal volume ventilatory strategy improves outcome in persistent acute respiratory distress syndrome: a randomized, controlled trial. Crit Care Med 34:1311–1318
    Article PubMed Google Scholar
  26. Mancebo J, Fernández R, Blanch L, Rialp G, Gordo F, Ferrer M, Rodríguez F, Garro P, Ricart P, Vallverdú I, Gich I, Castaño J, Saura P, Domínguez G, Bonet A, Albert RK (2006) A multicenter trial of prolonged prone ventilation in severe acute respiratory distress syndrome. Am J Respir Crit Care Med 173:1233–1239
    Article PubMed Google Scholar
  27. Meade MO, Cook DJ, Guyatt GH, Slutsky AS, Arabi YM, Cooper DJ, Davies AR, Hand LE, Zhou Q, Thabane L, Austin P, Lapinsky S, Baxter A, Russell J, Skrobik Y, Ronco JJ, Stewart TE, for the Lung Open Ventilation Study Investigators (2008) Ventilation strategy using low tidal volumes, recruitment maneuvers, and high positive end-expiratory pressure for acute lung injury and acute respiratory distress syndrome: a randomized controlled trial. JAMA 299:637–645
    Article PubMed CAS Google Scholar
  28. Mercat A, Richard JC, Vielle B, Jaber S, Osman D, Diehl JL, Lefrant JY, Prat G, Richecoeur J, Nieszkowska A, Gervais C, Baudot J, Bouadma L, Brochard L, Expiratory Pressure (Express) Study Group (2008) Positive end-expiratory pressure setting in adults with acute lung injury and acute respiratory distress syndrome: a randomized controlled trial. JAMA 299:646–655
    Article PubMed CAS Google Scholar
  29. Taccone P, Pesenti A, Latini R, Polli F, Vagginelli F, Mietto C, Caspani L, Raimondi F, Bordone G, Iapichino G, Mancebo J, Guérin C, Ayzac L, Blanch L, Fumagalli R, Tognoni G, Gattinoni L, Prone-Supine II Study Group (2009) Prone positioning in patients with moderate and severe acute respiratory distress syndrome: a randomized controlled trial. JAMA 302:1977–1984
    Article PubMed CAS Google Scholar
  30. Peek GJ, Mugford M, Tiruvoipati R, Wilson A, Allen E, Thalanany MM, Hibbert CL, Truesdale A, Clemens F, Cooper N, Firmin RK, Elbourne D, CESAR trial collaboration (2009) Efficacy and economic assessment of conventional ventilatory support versus extracorporeal membrane oxygenation for severe adult respiratory failure (CESAR): a multicentre randomised controlled trial. Lancet 374:1351–1363
    Article PubMed Google Scholar

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Acknowledgments

This work was supported by the Instituto de Salud Carlos III (PI 07/0113, PI 10/0393) and by the Asociación Científica Pulmón y Ventilación Mecánica. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Conflicts of interest

We have the following competing interests: RMK has received research grants from Hamilton, honorarium for lecturing from Maquet and Hamilton, and is a consultant for Newport, KCL, and Bayer. JV has received research grants from Maquet. The rest of the authors declared that no competing interests exist in relation to the content of this study and manuscript.

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Authors and Affiliations

  1. CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
    Jesús Villar, Lina Pérez-Méndez, Jesús Blanco, Lluís Blanch & Rosa Lidia Fernández
  2. Multidisciplinary Organ Dysfunction Evaluation Research Network, Research Unit, Hospital Universitario Dr. Negrin, Las Palmas de Gran Canaria, Spain
    Jesús Villar & Rosa Lidia Fernández
  3. Research Unit, Hospital Universitario NS de Candelaria, Tenerife, Spain
    Lina Pérez-Méndez
  4. Intensive Care Unit, Hospital Universitario Río Hortega, Valladolid, Spain
    Jesús Blanco
  5. Intensive Care Unit, Hospital Virgen de La Luz, Cuenca, Spain
    José Manuel Añón
  6. Critical Care Center, Corporació Sanitaria i Universitària, Parc Taulí, Sabadell, Spain
    Lluís Blanch
  7. Department of Anesthesia, Hospital Clinico de Valencia, Valencia, Spain
    Javier Belda
  8. Intensive Care Unit, Complejo Hospitalario Universitario de Santiago, Santiago de Compostela, Spain
    Antonio Santos-Bouza
  9. Department of Respiratory Care, Massachusetts General Hospital, 55 Fruit St., Boston, MA, 01460, USA
    Robert M. Kacmarek
  10. Department of Anesthesia, Harvard University, Boston, MA, USA
    Robert M. Kacmarek
  11. Multidisciplinary Organ Dysfunction Evaluation Research Network, Research Unit, Hospital Universitario Dr. Negrin, Barranco de la Ballena s/n, 4th Floor-South Wing, 35010, Las Palmas de Gran Canaria, Spain
    Jesús Villar

Authors

  1. Jesús Villar
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  2. Lina Pérez-Méndez
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  3. Jesús Blanco
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  4. José Manuel Añón
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  5. Lluís Blanch
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  6. Javier Belda
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  7. Antonio Santos-Bouza
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  8. Rosa Lidia Fernández
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  9. Robert M. Kacmarek
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Consortia

Spanish Initiative for Epidemiology, Stratification, and Therapies for ARDS (SIESTA) Network

Corresponding authors

Correspondence toJesús Villar or Robert M. Kacmarek.

Additional information

Collaborators of the SIESTA Network are listed in the Appendix.

This article is discussed in the editorial available at doi:10.1007/s00134-013-2834-y.

Electronic supplementary material

Appendix

Appendix

Complete list of investigators from participating centers

Jesús Villar, Rosa L. Fernández (Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria); José López, Demetrio Carriedo, Ana M. Dominguez, Javier Díaz-Domínguez (Hospital General de León, León); Javier Belda, Gerardo Aguilar, Francisco Martí, Armando Maruenda (Hospital Clínico de Valencia, Valencia); Jesús Blanco, Arturo Muriel (Hospital Universitario Rio Hortega, Valladolid); José M. Añón, María J. Bruscas (Hospital Virgen de la Luz, Cuenca); Iñaki Saralegui (Hospital Santiago Apóstol, Vitoria); Fernando Suárez-Sipman (Hospital Jiménez Díaz, Madrid); Julia López (Hospital Universitario La Paz, Madrid); Santiago Lubillo, Lina Pérez-Méndez, Santiago Basaldúa (Hospital Universitario N.S. de Candelaria, Tenerife); Dario Toral (Hospital Universitario 12 de Octubre, Madrid); Miguel A. Romera (Hospital Universitario Puerta de Hierro, Madrid); Antonio Santos-Bouza (Hospitales Universitarios de Santiago, Santiago de Compostela, La Coruña); Eli Zavala, Ramón Adalia (Hospital Clinic, Barcelona); Frutos del Nogal (Hospital Severo Ochoa, Madrid); Luís Ramos (Hospital General de La Palma, La Palma, Canary Islands); Gumersindo González-Díaz, Antonia López-Martínez (Hospital Morales Meseguer, Murcia); Santiago Macías, Noelia Albala, Noelia Lázaro (Hospital General de Segovia, Segovia); Francisco Gandía, David Andaluz, Laura Parra (Hospital Clínico Universitario de Valladolid, Valladolid); Javier Collado, José I. Alonso (Hospital Río Carrión, Palencia); Antonio Álvarez, Concepción Tarancón (Hospital Virgen de la Concha, Zamora); Noelia Albalá, Ángel Rodríguez-Encinas (Hospital Clínico de Salamanca, Salamanca); Raúl Sánchez, Fabiola Tena (Hospital General de Soria, Soria); Alberto Indarte, María E. Perea (Hospital General Yagüe, Burgos); Fernando Mosteiro (Complejo Hospitalario Universitario de La Coruña, La Coruña); Eleuterio Merayo (Complejo Hospitalario de Orense, Orense); Alfonso Ambrós, Rafael del Campo (Hospital General de Ciudad Real, Ciudad Real); Francisca Prieto (Hospital Santa Bárbara, Puertollano, Ciudad Real); José Manuel Gutiérrez, Virgilio Córcoles (Complejo Hospitalario Universitario de Albacete, Albacete); Ricardo Fernández, José Ignacio Lozano (Hospital de Hellín, Albacete); Antonio García, Carmen Martín (Hospital La Mancha Centro, Alcázar de San Juan, Ciudad Real); Lluís Blanch, Gemma Gomá, Gisela Gili (Corporació Sanitaria Parc Taulí, Sabadell, Barcelona); Robert M. Kacmarek (Massachussets General Hospital, Boston, Massachussets, USA).

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Villar, J., Pérez-Méndez, L., Blanco, J. et al. A universal definition of ARDS: the PaO2/FiO2 ratio under a standard ventilatory setting—a prospective, multicenter validation study.Intensive Care Med 39, 583–592 (2013). https://doi.org/10.1007/s00134-012-2803-x

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