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. Author manuscript; available in PMC: 2015 Jun 1.
Published in final edited form as: Intensive Care Med. 2014 Mar 26;40(6):769–787. doi: 10.1007/s00134-014-3272-1

Effects of Interventions on Survival in Acute Respiratory Distress Syndrome: an Umbrella Review of 159 Published Randomized Trials and 29 Meta-analyses

Adriano R Tonelli (1), Joe Zein (1), Jacob Adams (1), John PA Ioannidis (2)
PMCID: PMC4031289  NIHMSID: NIHMS579413  PMID: 24667919

Abstract

Purpose

Multiple interventions have been tested in acute respiratory distress syndrome (ARDS). We examined the entire agenda of published randomized controlled trials (RCTs) in ARDS that reported on mortality and of respective meta-analyses.

Methods

We searched PubMed, the Cochrane Library and Web of Knowledge until July 2013. We included RCTs in ARDS published in English. We excluded trials of newborns and children; and those on short-term interventions, ARDS prevention or post-traumatic lung injury. We also reviewed all meta-analyses of RCTs in this field that addressed mortality. Treatment modalities were grouped in five categories: mechanical ventilation strategies and respiratory care, enteral or parenteral therapies, inhaled / intratracheal medications, nutritional support and hemodynamic monitoring.

Results

We identified 159 published RCTs of which 93 had overall mortality reported (n= 20,671 patients) - 44 trials (14,426 patients) reported mortality as a primary outcome. A statistically significant survival benefit was observed in 8 trials (7 interventions) and two trials reported an adverse effect on survival. Among RTCs with >50 deaths in at least 1 treatment arm (n=21), 2 showed a statistically significant mortality benefit of the intervention (lower tidal volumes and prone positioning), 1 showed a statistically significant mortality benefit only in adjusted analyses (cisatracurium) and 1 (high-frequency oscillatory ventilation) showed a significant detrimental effect. Across 29 meta-analyses, the most consistent evidence was seen for low tidal volumes and prone positioning in severe ARDS.

Conclusions

There is limited supportive evidence that specific interventions can decrease mortality in ARDS. While low tidal volumes and prone positioning in severe ARDS seem effective, most sporadic findings of interventions suggesting reduced mortality are not corroborated consistently in large-scale evidence including meta-analyses.

Keywords: Acute respiratory distress syndrome, treatment, survival, mortality

Introduction

The acute respiratory distress syndrome (ARDS) [1] carries high mortality (typically between 27 - 45%) [2, 3]. Patients typically die from the underlying cause of ARDS, sepsis and/or multiorgan failure [4-6]. Currently there are no specific therapies for ARDS that are widely and unequivocally recommended, except for mechanical ventilation (MV) with low tidal volumes [7]. However, there are numerous trials on ARDS and some of them have occasionally reported significant benefits. By examining single trials in isolation it is difficult to judge which results reflect genuine benefits of the tested interventions and which might be due to diverse biases [8]. Furthermore, several trials in which the intervention showed a potential beneficial effect were stopped early, which can inflate estimates of treatment effects [9]. To understand which treatments can reduce mortality in ARDS, one should examine the entire agenda of published trials for this condition, instead of focusing on one intervention at a time [10].

Here, we aimed to review all the agenda of published RCTs on ARDS using an umbrella review of the evidence. In an umbrella review, the data from clinical trials on diverse interventions for a particular disease are juxtaposed, facilitating a bird’s eye view analysis of the strengths, weaknesses and biases of this literature [10, 11]. Here, we analyzed the results of RCTs of treatments for ARDS that reported on mortality outcomes. We also systematically overviewed the results of all the respective meta-analyses in this field reporting mortality outcomes. We aimed to map whether any interventions have robust evidence that they can curtail mortality for this syndrome.

Methods

Eligibility criteria for randomized controlled trials

We considered all published RCTs involving therapies for the treatment of ARDS. Trials have been performed over many decades and definitions of ARDS have evolved over time. We tried to be all-encompassing therefore we considered all definitions of ARDS [1, 12]. RCTs in patients with ARDS published in English were retained if they compared an intervention against placebo or another intervention, regardless of whether there were also common “backbone” interventions (treatments that were provided to all study patients, irrespectively of the treatment arm). We excluded trials performed in newborns and children since causes and management options for ARDS are generally different than those in adults. In addition, we excluded trials that analyzed a subset of patients from a larger study, tested short-term interventions lasting minutes (e.g. different modes of suctioning, single recruitment maneuver), focused on ARDS prevention, or evaluated subjects with post-traumatic or inhalation injury. We also included all meta-analyses of RCTs in ARDS that had mortality as an outcome.

Search strategy

We searched PubMed, Cochrane library and Web of Knowledge with last update on the 7/25/2013. We retrieved articles published in English-language without limits on publication year and perused reference lists of related papers, meta-analysis and review articles for additional pertinent citations. We used the following search algorithm for PubMed search of RCTs: (((((adult respiratory distress syndrome) OR (hypoxemic respiratory failure) OR (acute lung injury)) AND (“random*” OR “controlled trial” OR “randomized controlled trial” OR “placebo” OR “double-blind”)) AND Humans [Mesh] AND English [lang])) NOT infant [MeSH Terms]. Furthermore, we systematically searched PubMed for relevant meta-analyses that included mortality as one of the outcomes. When more than one meta-analysis had tested the same (or overlapping) interventions, we kept all of them, so as to juxtapose their results and see whether they are consistent. However, we did not include the older version of 2 meta-analyses that were published by the very same authors on the same intervention with 2-3 years difference between the old and newer versions.

We employed a similar strategy to search the Web of Knowledge for RCTs excluding Medline (Topic=(((adult respiratory distress syndrome) OR (hypoxemic respiratory failure) OR (acute NEAR/3 lung NEAR/3 injury)) AND (“random*” OR “controlled trial” OR “randomized controlled trial” OR “placebo” OR “double-blind”)) NOT Topic=(infant*) NOT Topic=((rat OR mouse OR mice OR dog OR animal)) Refined by: [excluding] Databases=( MEDLINE ) AND Languages=( ENGLISH ) Timespan=All years.). Furthermore we queried the Cochrane Central Registry of Controlled Trials with ((adult respiratory distress syndrome) OR (hypoxemic respiratory failure) OR (acute lung injury)), Limit to “Trials” and “meta-analysis”.

Data extraction

Two investigators (J.Z. and A.R.T) screened abstracts and articles and identified those that meet inclusion/exclusion criteria. When we identified overlapping reports on the same trial, we analyzed data from the most complete report. We reviewed the full text of all articles selected by the reviewers. Two investigators independently extracted data. Differences were resolved by consensus (all authors). For RCTs, we extracted data regarding the first author’s name, publication year, intervention administered, number of participants per treatment arm, and primary outcome. We recorded mortality data, calculated from 2×2 tables of deaths per arm the respective odds ratios and risk ratios and recorded any reported hazard ratios (adjusted and unadjusted) for time-to-event analyses of mortality. We flagged statistically significant differences in mortality (defined as p<0.05 or 95% CI of a relative risk metric entirely on one side of 1.00).

For meta-analyses we collected the total number of participants and deaths in each arm, follow-up time, risk ratio and odds ratio with 95% CI, model used for analysis (fixed or random) and heterogeneity index I2.

Overall design of the umbrella review

Interventions were grouped in five categories: MV strategies and respiratory care, enteral or parenteral therapies, inhaled / intratracheal medications, nutritional support and hemodynamic monitoring. Specific interventions tested are presented in e-table 1.

Although death is a major ARDS outcome, not all trials reported on mortality. Perhaps some trials did not consider mortality, e.g. if the trials were very grossly underpowered for mortality assessment; or selectively did not report death outcomes. Therefore, we recorded in how many trial reports information on mortality was mentioned at all. We then particularly focused on RCTs that claimed to have overall mortality as a primary outcome or also provided mortality data in the text. We investigated whether any claims were made by the authors that any apparent survival benefits of a particular intervention pertained to the entire or a subset of the study population. Whenever a survival benefit was claimed for a particular subgroup, we determined whether these analyses were defined a priori or post hoc.

In addition, we examined all the available published meta-analyses in ARDS patients on the respective interventions, and compared their results with those of selected trials and against each other, whenever two or more meta-analyses had evaluated the same intervention.

Analyses

We calculated odds and risk ratios with their respective 95% CIs using MedCalc version 12.7 (Ostend, Belgium). When reported, we also presented hazard ratios and 95% CIs, presenting whatever adjustments may have been used by the primary authors.

Mortality outcomes may be assessed at different times of follow-up in the same trial. Whenever treatment effects were provided at different times of follow-up for the same trial, we selected the one that was considered to represent the primary analysis according to the authors; if this was unclear, we selected the longest follow-up data. However, we also recorded in a separate table mortality treatment effect estimates (calculated odds ratios and risk ratios) and their 95% CIs for all time-points provided in the manuscript, so as to assess whether these differed for the same trial (e.g. statistically significant only for some, but not all time points). Methodological aspects of the quality of the trials are shown in the supplemental file. Additional aspects of quality, such as the quality of care and the extent of standardization of the control and active interventions, may be important, but are typically judge to arbitrate based on published information.

Results

Eligible ARDS trials

We identified 159 published RCTs that tested a variety of interventions in patients with ARDS (figure 1, e-table 1 and 2). We grouped the interventions tested in 5 groups as shown in table 1 and e-table 1 and 2. Of all selected trials, 93 had overall mortality reported and included 20,671 randomized patients (table 2) [S1-S93]. The other 66 trials with a total of 1,398 randomized patients did not report mortality data and the median (IQR: interquartile range) of patients per study was 18 (12-26) with a range of 5 to 72 subjects. Of the studies without mortality data, the follow-up ranged from 2 hours up to 7 days and 35 (53 %) had crossover design. The outcomes in these studies were changes in the oxygenation, hemodynamics, respiratory mechanics or inflammatory markers (e-tables 3-7).

Figure 1.

Figure 1

Flow chart of published randomized trials in ARDS

Table 1.

Randomized trials in ARDS with death as a reported study outcome.

Ref. Randomized
comparison
Number
of
patients
randomi
zed
(interven
tion /
control)
Number
of deaths
(interven
tion /
control)
Terminat
ed early
Mortalit
y at
Calculated
OR (95%
CI)
Calculated
RR (95%
CI)
Adjusted HR
(95% CI)
Surviv
al
benefit
#
MV strategies and respiratory care
S1 Prone vs. supine
positioning
237/229 38/75 No 28 d* 0.39 (0.25-
0.61)
0.49 (0.34-
0.69)
By SOFA: 0.42
(0.26-0.66)
+
S2 Lower tidal volume
with extracorporeal CO2
removal vs. protective
MV
40/39 7/6 No Hospital 1.17 (0.35-
3.84)
1.14 (0.42-
3.08)
NA
S3 HFOV vs. control
ventilation
275/273 129/96 Yes
(futility)
Hospital
*
1.63 (1.16-
2.3)
1.33 (1.09-
1.64)
NA
S4 HFOV vs. usual
ventilatory care
398/397 166/163 No 30 d* 1.03 (0.77-
1.36)
1.02 (0.86-
1.20)
By several
variables: 1.03
(0.75-1.40)
S5 NIPPV vs. control (high
concentration O2
therapy)
21/19 1/5 Yes
(slow
recruitm
ent)
Hospital
§
0.14 (0.01-
1.33)
0.18 (0.02-
1.41)
NA
S6 Recruitment maneuver 55/55 16/24 No ICU
to28 d*
0.53 (0.24-
1.17)
0.67 (0.4-
1.11)
NA
S7 Airway pressure release
ventilation vs. low tidal
volume ventilation.
31/32 2/2 No 5 d& 1.03 (0.14-
7.84)
1.03 (0.14-
6.80)
NA .
S8 Referral for ECMO vs.
conventional MV
90/90 33/45 Yes 6 m 0.58 (0.32-
1.05)
0.73 (0.52-
1.03)
NA
S9 Prone vs. supine
positioning
168/174 52/57 No 28 d* 0.92 (0.58-
1.45)
0.95 (0.69-
1.29)
NA
S10 Decremental PEEP
titration following
Alveolar recruitment
maneuver or a table-
based PEEP
30/27 14/15 No 60 d§ 0.70 (0.25-
1.99)
0.84 (0.5 –
1.40)
NA
S11 PEEP guided by
esophageal pressure vs.
ARDS network
recommendations
30/31 8/14 Yes
(effect at
interim
analysis)
6 m§ 0.44 (0.15-
1.29)
0.59 (0.29-
1.20)
By APACHE II
score was 0.52
(0.22-1.25)
S12 Prone vs. supine
positioning
21/19 8/10 Yes (low
enrollme
nt)
60 d* 0.55 (0.16-
1.95)
0.72 (0.36-
1.45)
NA
S13 High vs. moderate
PEEP
385/382 107/119 No 28 d* 0.85 (0.62-
1.16)
0.89 (0.72-
1.11))
NA
S14 Open-lung ventilation
vs. low-tidal-volume
ventilation
475/508 173/205 No Hospital
at 28 d*
0.85 (0.65-
1.1)
0.90 (0.77-
1.06)
By several
variables: 0.97
(0.84-1.12)
S15 High PEEP and low
tidal volume vs. low
PEEP and higher tidal
volume
50/45 16/24 Yes
(mortalit
y
benefit)
ICU* 0.41 (0.18-
0.95)
0.60 (0.37-
0.98)
NA +
S16 Prone vs. supine
positioning
76/60 33/35 Yes
(decreas
e in
enrollme
nt)
ICU* 0.55 (0.28-
1.09)
0.74 (0.53-
1.04)
By several
variables: 0.40
(0.17-0.61)
+
S17 PLV vs. conventional
ventilation
107/204 16/46 No 28 d§ 0.60 (0.32-
1.13)
0.66 (0.39-
1.11)
NA
S18 HFOV vs. conventional
ventilation
24/37 8/16 Yes
(slow
recruitm
ent)
30 d* 1.52 (0.52-
4.44)
1.3 (0.66-
2.55)
By several
variables: 1.15
(0.43-3.1)
S19 Prone vs. supine positioning
positioning
413/378 134/119 No 28 d* 1.05 (0.78-
1.41)
1.03 (0.84-
1.26)
NA
S20 Higher vs. lower PEEP 276/273 76/68 Yes
(futility)
Hospital
at 60 d*
1.15 (0.78-
1.68)
1.11 (0.83-
1.46)
By several
variables: 0.88
(0.6-1.29)
S21 APRV or SIMV 30/28 5/5 Yes
(futility)
28 d& 0.92 (0.24-
3.59)
0.93 (0.30-
2.88)
NA
S22 HFOV vs. conventional
ventilation
75/73 28/38 No 30 d* 0.55 (0.28-
1.08)
0.72 (0.50-
1.03)
NA
S23 PLV vs. conventional
MV
65/25 27/9 No 28 d§ 1.26 (0.49-
3.28)
1.15 (0.64-
2.1)
NA
S24 Prone vs. supine
positioning
152/152 95/89 Yes
(slow
recruitm
ent)
6 m* 1.18 (0.74-
1.87)
1.07 (0.89-
1.28)
NA
S25 APRV with spontaneous
breathing vs. controlled
MV
15/15 3/4 No NA& 0.69 (0.12-
3.79)
0.75 (0.20-
2.79)
NA
S26 Prone positioning vs.
continuous rotation
12/14 7/9 No NA& 0.78 (0.16-
3.8)
0.9 (0.49-
1.68)
NA
S27 PCV vs. VCV 37 / 42 19 / 33 No Hospital
*
0.29 (0.11-
0.77)
0.65 (0.46-
0.93)
NA +
S28 Lower vs. traditional
tidal volumes
432/429 134/171 Yes
(lower
mortality
)
Hospital
up to 6
m*
0.68 (0.51-
0.90)
0.78 (0.65-
0.93)
NA +
S29 Computerized decision
support for MV vs. not
100/100 36/32 No Hospital
*
1.2 (0.67-
2.15)
1.13 (0.76-
1.66)
NA
S30 Reduced vs. traditional
tidal volume MV.
26/26 13/12 Yes
(futility)
Hospital
&
1.17 (0.39-
3.47)
1.08 (0.62-
1.91)
NA
S31 Lung protective MV vs.
control
18/19 7/11 No 28 d& 0.46 (0.12-
1.72)
0.67 (0.34-
1.35)
NA
S32 Reduced vs. traditional
tidal volume (≥ 10
mL/kg)
58/58 27/22 Yes
(futility)
60 d* 1.43 (0.68-
2.99)
1.23 (0.80-
1.89)
NA
S33 Pressure- and volume-
limited MV or
conventional MV
60/60 30/28 No Hospital
*
1.14 (0.56-
2.34)
1.07 (0.74-
1.55)
NA
S34 Protective MV vs.
conventional MV
29/24 11/17 Yes
(surviva
l
benefit)
28 d* 0.25
(0.08-0.80)
0.54 (0.31-
0.91)
APACHE II
score: 0.19
(0.08–0.47)
+
S35 MV with “open lung
approach” with low
distending pressures vs.
conventional approach
15/13 5/7 No Hospital
§
0.43 (0.09-
1.98)
0.62 (0.26-
1.48)
NA
S36 PCV vs. VCV 16/11 9/7 No 25 d& 0.73 (0.15-
3.55)
0.88 (0.47-
1.65)
NA
S37 Extracorporeal CO2
removal vs. continuous
positive pressure MV
21 / 19 14 / 11 Yes 30 d* 1.45 (0.40-
5.26)
1.15 (0.71-
1.88)
NA
S38 HFOV vs. conventional
MV
52/48 10/10 No Hospital
&
0.9 (0.34-
2.41)
0.92 (0.42-
2.02)
NA
S39 ECMO vs. conventional
MV
42/48 38/44 Yes 68 d* 0.86 (0.20-
3.69)
0.99 (0.97-
1.12)
NA
Enteral or parenteral therapies
S40 IV infusion of GMCSF
vs. pl
64/66 11/15 No 28 d§ 0.71 (0.30-
1.68)
0.76 (0.38-
1.52)
NA
S41 Simvastatin PO or
placebo
30/30 11/11 No 14 d& 1 (0.35-
2.86)
1 (0.51-
1.94)
NA
S42 Cisatracurium besylate
IV vs. pl
178/162 56/66 No 90 d* 0.67 (0.43-
1.04)
0.77 (0.58-
1.03)
By several
variables: 0.68
(0.48-0.98)
+
S43 Ginger extract vs. pl 16/16 3/2 No MICU
stay to
21 d§
1.62 (0.23-
11.26)
1.5 (0.29-
7.81)
NA
S44 Inactivated recombinant
factor VIIa IV vs. pl
144/70 36/15 Yes
(higher
mortality)
28 d§ 1.22 (0.61-
2.42)
1.17 (0.69-
1.98)
NA
S45 Activated protein C IV
infusion or placebo
37/38 5/5 No 60 d§ 1.03 (0.27-
3.91)
1.03 (0.32-
3.26)
NA
S46 Oxothiazolidine IV vs.
pl
101/114 30/18 Yes
(higher
mortality)
30 d§ 2.25 (1.16-
4.36)
1.88 (1.12-
3.16)
NA -
S47 Methylprednisone IV
vs. pl
63/28 15/12 No Hospital
§
0.42 (0.16-
1.07)
0.56 (0.30-
1.03)
NA
S48 Conservative vs. liberal
strategy of fluid
management
503/497 128/14
1
No Hospital
to 60 d*
0.86 (0.65-
1.14)
0.9 (0.73-
1.1)
NA
S49 Methylprednisolone IV
vs. pl
89/91 26/26 No Hospital
at 60-d*
1.03 (0.54-
1.97)
1..02 (0.65-
1.62)
NA
S50 Salbutamol IV vs. pl 19/21 11/14 No 7 d§ 0.69 (0.19-
2.49)
0.87 (0.53-
1.42)
NA
S51 Furosemide IV with or
without albumin
20/20 7/9 No 30 d§ 0.66 (0.18-
2.35)
0.78 (0.36-
1.68)
NA
S52 Sivelest at sodium IV
infusion vs. pl
12/12 3/3 No 30 d§ 1 (0.16-
6.35)
1 (0.25-
4.00)
NA
S53 Sivelestat sodium IV
infusion vs. pl
241/246 64/64 Yes (trend
to worsen
mortality)
28 d* 1.03 (0.69-
1.54)
1.05 (0.78-
1.41)
NA
S54 Cisatracurium IV vs. pl 28/28 10/17 No 28 d§ 0.36 (0.12-
1.06)
0.59 (0.33-
1.05)
NA
S55 Lisofylline IV vs. pl 116/119 37/29 Yes
(futility)
28 d* 1.45 (0.82-
2.58)
1.31 (0.87-
1.98)
NA
S56 Liposomal PGE1 IV
infusion vs. pl
70/32 21/9 Yes
(futility)
28 d* 1.1 (0.43-
2.76)
1.07 (0.55-
2.06)
NA
S57 Ketoconazole (enteral)
vs. pl
117/117 41/40 Yes
(futility)
Hospital
at 6 m*
1.04 (0.61-
1.78)
1.03 (0.72-
1.46)
NA
S58 IV infusion of NAC vs.
NAC with rutin vs. pl
12/12/12 5/4/7 No 30 d& 0.36 (0.07-
1.88)&
0.57 (0.23-
1.45)&
NA
S59 Liposomal PGE1 IV
infusion vs. pl
177/171 57/50 No 28 d§ 1.14 (0.73-
1.81)
1.10 (0.8-
1.51)
NA
S60 Atrial Natriuretic
peptide IV infusion vs.
pl
20/20 3/6 No NA& 0.41 (0.09-
1.95)
0.50 (0.14-
1.73)
NA
S61 Prolonged
Methylprednisolone
(IV/PO) vs. pl
16/8 0/5 Yes
(lower
mortality)
ICU at
32 d*
0.02 (0.00-
0.44)
0.05 (0.00-
0.78)
NA +
S62 IV infusion of NAC vs.
pl
22/20 7/5 No ICU* 1.40 (0.36-
5.41)
1.27 (0.48-
3.37)
NA
S63 IV infusion of NAC vs.
procysteine vs. pl
14/17/15 5/6/6 No 30 d§ 0.83 (0.19-
3.75)
0.89 (0.35-
2.28)
NA
S64 IV infusion of
Liposomal
prostaglandin E1 vs. pl
17/8 1/2 No 28 d* 0.19 (0.01-
2.47)
0.24 (0.02-
2.23)
NA
S65 Human monoclonal
antiendotoxin antibody
(HA-1A) vs. pl
30/33 15/23 No 28 d§ 0.43 (0.16-
1.22)
0.72 (0.47-
1.09)
NA
S66 NAC IV vs. pl 32/29 7/10 No 1 m* 0.53 (0.17-
1.66)
0.63 (0.28-
1.45)
NA
S67 NAC IV vs. pl 32/34 17/17 No 60 d& 1.13 (0.43-
2.98)
1.06 (0.67-
1.7)
NA
S68 PGE1 IV infusion vs. pl 72/74 42/37 No 30 d& 1.40 (0.73-
2.69)
1.17 (0.86-
1.57)
NA
S69 PGE1 IV infusion vs. pl 50/50 30/24 Yes
(futility)
30 d* 1.63 (0.74-
3.59)
1.25 (0.87-
1.8)
NA
S70 IV high dose
methylprednisolone vs.
pl
50/49 30/31 Yes
(futility)
45 d* 0.87 (0.39-
1.96)
0.95 (0.69-
1.29)
NA
Inhaled / intratracheal medications
S71 Aerosolized β2-
adrenergic receptor
agonists vs. pl
152/130 35/23 Yes
(futility)
Hospital
to 60 d§
1.39 (0.77-
2.51)
1.30 (0.81-
2.08)
By baseline
covariates: 1.27
(0.68-2.38)
S72 Intratracheal
recombinant surfactant
protein C-based
surfactant vs. pl
419/424 95/101 Yes
(futility)
28 d* 0.94 (0.68-
1.29)
0.95 (0.74-
1.22)
NA
S73 Intratracheal exogenous
natural surfactant vs.
usual care
208/210 60/51 Yes
(futility)
28 d* 1.26 (0.82-
1.95)
1.19 (0.86-
1.64)
NA
S74 Intratracheal protein C–
based recombinant
surfactant vs. usual care
224/224 72/81 No 28 d§ 0.84 (0.57-
1.24)
0.89 (0.68-
1.15)
NA
S75 Inhaled NO vs. pl 192/193 44/39 No 28 d§ 1.17 (0.72-
1.91)
1.13 (0.77-
1.66)
NA
S76 Intratracheal
recombinant protein C–
based surfactant vs.
control
27/13 7/5 No 28 d§ 0.56 (0.14-
2.29)
0.67 (0.26-
1.72)
NA
S77 MV with and without
inhaled NO
15/15 8/7 No 30 d& 1.30 (0.31-
5.48)
1.14 (0.56-
2.35)
NA
S78 Inhaled NO vs. pl 93/87 41/35 Yes (slow
enrollmen
t)
30 d§ 1.17 (0.65-
2.12)
1.10 (0.78-
1.55)
NA
S79 Inhaled NO vs. usual
care
15/15 9/8 No 30 d* 1.31 (0.31-
5.58)
1.13 (0.6-
2.11)
NA
S80 Inhaled NO vs. usual
care
20/20 11/9 No Hospital
&
1.49 (0.43-
5.19)
1.22 (0.65-
2.29)
NA
S81 Inhaled NO vs. pl
(nitrogen gas)
120/57 35/17 No 28 d§ 0.97 (0.49-
1.93)
0.98 (0.60-
1.59)
NA
S82 Bovine surfactant by
endotracheal instillation
vs. pl
43/16 10/7 No 28 d* 0.39 (0.12-
1.31)
0.53 (0.24-
1.16)
NA
S83 Aerosolized synthetic
surfactant or placebo.
364/361 145/14
3
Yes
(futility)
30 d* 1.01 (0.75-
1.36)
1.01 (0.84-
1.20)
NA
S84 Aerosolized surfactant
for 12 vs. 24 hs vs. pl
17/17/17 7/6/8 No 30 d* 0.61 (0.15-
2.43)
0.75 (0.33-
1.7)
NA
Nutritional support
S85 Trophic vs. full enteral
feeding
508/492 118/10
9
No 60 d§ 1.06 (0.79-
1.43)
1.05 (0.83-
1.32)
NA
S86 Inflammatory
modulators vs. control
diet
143/129 38/21 Yes
(futility)
60 d§ 1.86 (1.02-
3.38)
1.63 (1.01-
2.63)
NA
S87 Inflammatory
modulators vs. control
diet
71/61 11/11 No 28 d§ 0.83 (0.33-
2.08)
0.86 (0.40-
1.84)
NA
S88 Inflammatory
modulators vs. pl
41/49 9/12 No 60 d& 0.87 (0.32-
2.32)
0.9 (0.42-
1.91)
NA
S89 Inflammatory
modulators vs. control
diet
46/49 20/17 No 14 d§ 1.45 (0.63-
3.31)
1.25 (0.76-
2.08)
NA
S90 Enteral Inflammatory
modulators vs. pl
51/47 6/9 No 30 d& 0.56 (0.18-
1.72)
0.61 (0.24-
1.59)
NA
Hemodynamic monitoring and others
S91 PAOP vs. CVP 513/488 141/12
8
No Hospital
at 60 d*
1.07 (0.81-
1.41)
1.05 (0.85-
1.29)
NA
S92 PAC vs. no PAC 335/341 199/20
8
No 28 d* 1.17 (0.72-
1.91)
0.97 (0.86-
1.10)
NA
S93 CAVH vs. pl 9/6 4/5 No NA& 0.16 (0.01-
1.98)
0.53 (0.24-
1.20)
NA

References are provided in the Reference Appendix of the supplemetal file.

Abbreviations: APACHE: Acute Physiology and Chronic Health Evaluation, APVR: airway pressure release ventilation, ARM: alveolar recruitment maneuvers, CI: confidence interval, d: day, ECMO: extracorporeal membrane oxygenation, HFOV: high-frequency oscillatory ventilation, HR: hazard ratio, ICU: intensive care unit, m: month, IV: intravenous, M: mortality, MV: mechanical ventilation, NA: not available, OR: odds ratio, PAC: pulmonary artery catheter, PCV: pressure-controlled ventilation, PEEP: positive end-expiratory pressure, PGE1: prostaglandin E1, pl: placebo, PLV: partial liquid ventilation, PO: by mouth, PPV: positive pressure ventilation, RR: relative risk, SIMV: synchronized intermittent ventilation, SOFA: Sequential Organ Failure Assessment score, VCV: volume-controlled ventilation, vs.:versus.

&

for the comparison of NAC with rutin versus placebo.

NAC versus placebo.

For the comparison between 24 hs aerosolized surfactant versus placebo.

*

mortality as the only or as part of primary outcome.

§

mortality as a secondary outcome. & mortality not as part of a prespecified primary or secondary outcome.

#

based on statistical significance (crude or adjusted ratios) a positive sign represents a beneficial effect, a negative sign a deleterious effect and an empty box the lack of difference in survival between the study groups.

Table 2.

Analyses at different time points on mortality outcomes

Author, year,
reference
Randomized
comparison
Mortality at Calculated OR
(95% CI)
Calculated RR
(95% CI)
Adjusted HR
(95% CI)
Survival benefit
#
MV strategies and respiratory care
Guerin, 2013
[20]
Prone vs. supine
positioning
28 d* 0.39 (0.25-0.61) 0.49 (0.34-0.69) By SOFA: 0.42
(0.26-0.66)
+
90 d 0.44 (0.29-0.68) 0.58 (0.43-0.77) By SOFA: 0.48
(0.32-0.72).
+
Ferguson et al.
[17]
HFOV vs. control
ventilation
Hospital* 1.63 (1.16-2.30) 1.33 (1.09-1.64) NA
28 d* 1.69 (1.17-2.46) 1.41 (1.11-1.81) NA
Young, 2013 [32] HFVO vs. usual
ventilatory care
30 d* 1.03 (0.77-1.36) 1.02 (0.86-1.20) By several
variables: 1.03
(0.75-1.40)
Hospital 1.09 (0.82-1.46) 1.05 (0.89-1.24) NA
Taccone, 2009
[29]
Prone vs. supine
positioning
28 d* 0.92 (0.58-1.45) 0.95 (0.69-1.29) NA
6 m 0.81 (0.52-1.27) 0.90 (0.72-1.13) NA
Talmor, 2008
[90]
PEEP guided by
esophageal
pressure vs.
ARDS network
recommendations
28 d 0.32 (0.08-1.20) 0.43 (0.14-1.14) 0.46 (0.19-1)
6 m 0.44 (0.15-1.29) 0.59 (0.29-1.20) By APACHE II
score was 0.52
(0.22-1.25)
Huh, 2009 [91] PEEP guided by
esophageal
pressure vs.
ARDS network
recommendations
28 d 1.33 (0.45-3.94) 1.20 (0.60-2.39) NA
6 m 0.44 (0.15-1.29) 0.59 (0.29-1.20) By APACHE II
score was 0.52
(0.22-1.25)
Meade, 2008[22] Open-lung
ventilation vs.
low-tidal-volume
ventilation
Hospital 0.85 (0.65-1.10) 0.90 (0.77-1.06) By several
variables: 0.97
(0.84-1.12)
28 d 0.83 (0.63-1.09) 0.88 (0.73-1.06) NA
Villar, 2006 [35] High PEEP and
low tidal volume
vs. low PEEP and
higher tidal
volume
ICU* 0.41 (0.18-0.95) 0.60 (0.37-0.98) NA +
Hospital 0.41 (0.18-0.94) 0.61 (0.38-0.98) NA +
Mancebo, 2006
[34]
Prone vs. supine
positioning
ICU* 0.55 (0.28-1.09) 0.74 (0.53-1.04) By several
variables: 0.4
(0.17-0.61)
+
Hospital 0.62 (0.31-1.24) 0.81 (0.60-1.10) NA
Guerin, 2004
[19]
Prone vs. supine
positioning
28 d* 1.05 (0.78-1.41) 1.03 (0.84-1.26) NA
90 d 1.05 (0.79-1.39) 1.03 (0.87-1.21) NA
Varpula, 2004
[92]
APRV or SIMV 28 d 0.92 (0.24-3.59) 0.93 (0.30-2.88) NA
1 y 0.60 (0.17-2.17) 0.67 (0.24-1.86) NA
Derdak, 2002
[71]
HFOV vs.
conventional
ventilation
30 d* 0.55 (0.28-1.08) 0.72 (0.5-1.03) NA
6 m 0.61 (0.32-1.17) 0.79 (0.58-1.08) NA
Gattinoni, 2001
[18]
Prone vs. supine
positioning
ICU 1.11 (0.71-1.74) 1.05 (0.84-1.32) NA
10 d 0.80 (0.47-1.37) 0.84 (0.56-1.27) NA
6 m* 1.18 (0.74-1.87) 1.07 (0.89-1.28) NA
Esteban,
2000[37]
PCV vs. VCV ICU 0.42 (0.17-1.10) 0.70 (0.48-1.04) NA
Hospital* 0.29 (0.11-0.77) 0.65 (0.46-0.93) NA +
Enteral or parenteral therapies
Steinberg,
2006[93]
Methylprednisolo
ne IV vs. pl
Hospital 1.03 (0.54-1.97) 1..02 (0.65-1.62) NA
6 m 0.98 (0.52-1.84) 0.99 (0.64-1.52) NA
Zeiher, 2004[33] Sivelestat sodium
IV infusion vs. pl
28 d* 1.03 (0.69-1.54) 1.05 (0.78-1.41) NA
6 m 1.48 (1.02-2.15) 1.29 (1.01-1.64) NA
Gainnier, 2004
[76]
Cisatracurium IV
vs. pl
28 d 0.36 (0.12-1.06) 0.59 (0.33-1.05) NA
60 d 0.48 (0.16-1.41) 0.72 (0.45-1.17) NA
Meduri, 1998
[38]
Prolonged
methylprednisolo
ne (IV/PO) vs. pl
ICU* 0.02 (0.001-0.44) 0.05 (0.00-0.78) NA +
Hospital 0.09 (0.01-0.67) 2.00 (0.05-0.81) NA +
Bone, 1989 [94] PGE1 IV infusion
vs. pl
30 d* 1.63 (0.74-3.59) 1.25 (0.87-1.80) NA
6 m 1.29 (0.58-2.88) 1.1 (0.81-1.51) NA
Inhaled / intratracheal medications
Spragg, 2011
[28]
Intratracheal
recombinant
surfactant protein
C-based
surfactant vs. pl
28 d* 0.94 (0.68-1.29) 0.95 (0.74-1.22) NA
90 d 1.03 (0.78-1.37) 1.02 (0.85-1.23) NA
6 m 1.06 (0.80-1.40) 1.04 (0.87-1.24) NA
Kesecioglu, 2009
[21]
Intratracheal
exogenous
natural surfactant
vs. usual care
28 d* 1.26 (0.82-1.95) 1.19 (0.86-1.64) NA
6 m 1.47 (0.98-2.21) 1.24 (0.99-1.56) NA
Nutritional support
Singer, 2006 [39] Inflammatory
modulators vs.
control diet
14 d 1.45 (0.63-3.31) 1.25 (0.76-2.08) NA
28 d 0.30 (0.13-0.70) 0.49 (0.29-0.83) NA +
90 d 1.02 (0.41-2.55) 1.01 (0.79-1.28) NA
Hemodynamic monitoring and others
Richard, 2003
[26]
PAC vs. no PAC 28 d* 1.17 (0.72-1.91) 0.97 (0.86-1.10) NA
90 d 0.93 (0.67-1.30) 0.98 (0.89-1.08) NA

Abbreviations: APACHE: Acute Physiology and Chronic Health Evaluation, APVR: airway pressure release ventilation, CI: confidence interval, d: day, HFOV: high-frequency oscillatory ventilation, HR: hazard ratio, ICU: intensive care unit, IV: intravenous, m: month, NA: not available, OR: odds ratio, PAC: pulmonary artery catheter, PCV: pressure-controlled ventilation, PEEP: positive end-expiratory pressure, PGE1: prostaglandin E1, PO: by mouth , RR: relative risk, SIMV: synchronized intermittent ventilation, SOFA: Sequential Organ Failure Assessment score, VCV: volume-controlled ventilation.

*

primary analysis;

§

secondary analysis,

#

based on statistical significance (crude or adjusted ratios) a positive sign represents a beneficial effect, a negative sign a deleterious effect and an empty box the lack of difference in survival between the study groups.

Of the 93 trials [S1-S93] analyzed in more depth (n=20,671 randomized patients with a median (IQR) 99 (49-293) subjects per study (range 15-1001), forty-four included mortality as a primary outcome with 14,426 randomized patients; another 49 trials (n=6,245) reported death as a specified secondary outcome (31 trials, n=5,231) or simply as additional information in the manuscript (18 trials, n=1,014). Mortality was reported during the ICU or hospital stay or during follow-up ranging from 28 days (minimum) to 6 months (maximum) (table 2). A total of 32 studies were prematurely terminated (documentation of beneficial effect considered unlikely (n=18), perceived overwhelming evidence for benefit (n=5), perceived documentation of a detrimental effect (n=3), slow recruitment (n=6)).

Of the 93 trials, 21 [13-33] had at least 50 deaths in one study arm (Figure 2 and e-table 8) (20 had at least 50 deaths in both study arms).

Figure 2. Calculated unadjusted risk ratios for mortality in randomized trials in ARDS that had more than 50 deaths in at least one arm.

Figure 2

When multiple metrics were provided we focused in the follow-up that defined the primary mortality outcome. In the event that this was not available we considered the time point of the secondary outcome and if none available the longer follow-up time.

Abbreviations: CVP: central venous pressure, HFOV: high-frequency oscillatory ventilation, PAOP: pulmonary artery occlusion pressure, PEEP: positive end-expiratory pressure, PGE1: prostaglandin E1.

Differences in mortality

There was a statistical significant difference in mortality favoring the intervention in 8 studies (prone positioning [2 studies [20, 34]], cisatracurium [24], high PEEP and low tidal volume[35], lower tidal volume [two studies [13, 36]], pressure control ventilation[37] and prolonged methylprednisolone[38]). Only 6 [13, 20, 35-38] of these 8 trials yielded a statistical significant difference using unadjusted metrics; the other two trials showed a statistically significant survival benefit only on adjusted HR (prone positioning[34] and cisatracurium[24]), but the difference was non-significant in unadjusted analyses. Two trials actually reported a statistically significant adverse effect on survival (high-frequency oscillatory ventilation [HFOV] and intravenous oxothiazolidine).

Of the studies that included more than 50 deaths in at least 1 treatment arm (Figure 2 and e-table 8), only three showed a mortality benefit of the intervention (lower tidal volumes [13], prone positioning [20], cisatracurium[24]), and one of them (cisatracurium[24]) did so only in adjusted analyses, as described above. One trial (HFOV[17]) suggested a detrimental effect of the active treatment and 17 showed no statistically significant difference between study arms (Figure 1).

23 trials presented mortality outcome data on 2 or more different time points. In 3 trials one or more analyses had found a non-significant difference, but analysis with different follow-up showed a statistically significant benefit (pressure controlled ventilation [37], primary analysis; inflammatory modulation diet [39], secondary analysis) or a statistically significant harm (sivelestat [33], secondary analysis) regarding survival. In 22/23 trials, the relative risk results for mortality had amply overlapping 95% CIs, while in the case of inflammatory modulation diet [39] the large benefit at 28 days was incongruent with the results at 14 days (primary analysis) and 90 days.

Meta-analyses

Of 147 screened citations (PubMed=91, Cochrane=56), 29 meta-analyses were selected (table 3) [3, 40-67]. These meta-analyses tested a variety of interventions including low tidal volumes (n=3)[47, 50, 59], prone positioning (n=5)[3, 40, 45, 52, 63], higher PEEP (n=6)[46, 48, 55, 57, 59, 60], HFOV (n=1)[61], non-invasive ventilation (n=1)[44], nitric oxide (n=2)[41, 42], exogenous surfactant (n=3)[49, 54, 65], corticosteroids (n=4)[43, 53, 56, 62], cisatracurium (n=1)[64], inflammation modulating diet (n=2)[58, 67], inhaled β2 agonists (n=1)[66] and sivelestat (n=1)[51] - one meta-analysis tested 2 interventions (low tidal volume and higher PEEP)[59]. Interventions that statistically significantly reduced mortality based on the provided summary effects on the overall population included low tidal volume ventilation (in 3/3 meta-analyses) [47, 50, 59], HFOV (in the single meta-analysis performed) [61], high PEEP (in 3 out of 6 meta-analyses) [46, 55, 57], cisatracurium (in the single meta-analysis performed)[64] and inflammation-modulating diet (in the two meta-analysis performed) [58, 67].

Table 3.

Meta-analyses of randomized trials that evaluate mortality in ARDS

Author, year,
reference
Intervention n Participants Deaths Time Risk ratio
(95% CI)#
Fixed (F) or
random (R)
Effect and
heterogeneity
Interpretation by the authors
Singh, 2013 [66] Inhaled β2-
agonists vs. pl
2 313/293 97/76 Hospital 1.22 (0.95-
1.56)
R (I2=0%) No survival benefit.
2 182/182 66/52 28 d 1.04 (0.50-
2.16)
R (I2=83%)
Santa Cruz,
2013 [60]
High vs. low
PEEP without
other
interventions
3 1136/1163 378/429 Hospital 0.90 (0.81-
1.01)
F (I2=0%) Trend toward mortality benefit.
Zhang, 2013 [65] Exogenous
surfactant vs. pl
8 1101/1043 368/349 28-30 d 1.00 (0.89-
1.12)
F (I2=0%) Intervention was not associated
with reduced mortality. No
difference among the different
types of surfactant.
Alhazzani, 2013
[64]
Cisatracurium vs.
pl
3 223/208 70/93 ICU 0.70 (0.55-
0.89)
R (I2=0%) Cisatracurium reduced 28 days,
ICU and hospital mortality
3 223/208 76/98 Hospital 0.72 (0.58-
0.91)
R (I2=0%)
3 223/208 57/81 28 d 0.66 (0.50-
0.87)
R (I2=0%)
Meng, 2012[54] Exogenous
surfactant vs. pl
9 1285/1289 396/392 28-30 d OR: 1.02
(0.86-1.20)
F (I2=0%) Intervention did not improve
survival
Afshari, 2011
[42]
Inhaled nitric
oxide vs. pl
14 660/590 265/228 Variable
(1-365 d)
1.06 (0.93-
1.22)
F (I2=0%) No benefit on survival
9 578/504 208/578 28 d 1.12 (0.95-
1.31)
F (I2=0%)
Burns, 2011[47] Pressure and
volume-limited
ventilation vs.
traditional MV
10 888/861 312/366 Hospital 0.84 (0.70-
1.00)
R (I2=43%) Borderline (p=0.05)
statistically significant
reduction in mortality.
Dasenbrook,
2011 [48]
Higher vs. lower
PEEP
4 1166/1194 311/356 28 d 0.90 (0.79-
1.02)
F (I2=11%) No significant difference in 28
d survival.
Abroug, 2011
[40]
Prone vs. supine
positioning
7 862/813 NA ICU 0.91 (0.75-
1.12)
R (I2=0%) No significant effect on ICU
mortality. Sub-analysis showed
a survival benefit in those with
more severe forms of ARDS
Dee, 2011 [67] Inflammation-
modulating diet
vs. control diet
3
Sa
me
stu
die
s
171/173 42/72 Hospital 0.58 (0.42-
0.79)
R (I2=0%) Intervention improved survival
Briel, 2010 [46] Higher vs. lower
PEEP
3 1136/1163 324/381 ICU 0.87 (0.78-
0.97)
Log-binomial
regression
No improvement in hospital
survival. Survival improved in
more severe forms of ARDS.
374/409 Hospital 0.94 (0.86-
1.04)
Iwata, 2010 [51] Sivelestat vs. pl 4 379/379 NA 28-30 d 0.95 (0.72-
1.26)
R (I2=0%) No significant survival benefit
at 28-30 d but worse survival at
2 253/258 NA 6 m 1.27 (1.00-
1.62)
R (I2=0%) 6 m
Sud, 2010 [61] Prone vs. supine
positioning
(severe
hypoxemia)
7 295/260 157/163 Hospital 0.84 (0.74-
0.96)
R (I2=0%) Prone positioning reduced
mortality in patients with
severe hypoxemia. Overall, no
significant effect.
Prone vs. supine
positioning (less
severe
hypoxemia)
7 590/578 248/230 Hospital 1.07 (0.93-
1.22)
R (I2=0%)
Lamontagne,
2010 [53]
Corticosteroid
therapy vs. pl
12 471/495 147/176 Hospital 0.84 (0.66-
1.06)
R (I2=29%) Low-dose corticosteroid
therapy may reduce all-cause
mortality
Lower
corticosteroid
dose vs. pl
9 374/396 95/128 Hospital 0.68 (0.49-
0.96)
R (I2=30%)
Sud, 2010 [3] HFOV vs.
conventional MV
6 189/176 73/87 Variable
(Hospital
or 30 d)
0.77 (0.61-
0.98)
R (I2=0%) Intervention might improve
survival
Putensen, 2009
[59]
Lower vs. higher
TV at similar
PEEP
3 518/515 177/211 Hospital OR: 0.75
(0.58-0.96)
F (I2=18%) Low TV reduced hospital
mortality. Higher PEEP did not
improve mortality
Higher vs. lower
PEEP at low TV
3 1136/1163 378/429 Hospital OR: 0.86
(0.72-1.02)
F (I2=0%)
Lower TV +
higher PEEP vs.
higher TV and
lower PEEP
2 79/69 30/42 Hospital OR: 0.38
(0.20-0.75)
F (I2=0%)
Tang, 2009 [62] Corticosteroids
vs. pl
4 191/150 45/53 Hospital 0.51 (0.24-
1.09)
R (I2=51%) Low-dose steroids was not
associated with improved
survival
Phoenix, 2009
[57]
Higher vs. lower
PEEP
6 1233/1251 415/482 Early
mortality
(Hospital
and 28 d)
0.87 (0.79-
0.97)
R (I2=0%) PEEP may provide a mortality
benefit.
Only studies with
groups with
similar tidal
volumes
3 1136/1163 378/429 Hospital 0.90 (0.81-
1.01)
R (I2=0%)
Kopterides, 2009
[52]
Prone vs. supine
positioning
4 662/609 245/230 ICU 0.97 (0.77-
1.22)
R (I2=32%) No survival differences,
however ICU mortality was
lower in severely ill patients.
Oba, 2009 [55] High PEEP vs.
low PEEP
5 1215/1232 408/464 Hospital 0.89 (0.80-
0.99)
F (I2=0%) Survival benefit in hospital
mortality, but statistical and
clinical heterogeneity. Effect
greater in patients with higher
ICU severity scores
3 889/914 253/296 28 d 0.88 (0.76-
1.01)
F (I2=0%)
Pontes-Arruda
2008 [58]
Inflammation-
modulating diet
vs. control diet
3 152/144 37/62 28 d OR: 0.40
(0.24-0.68)
F (I2=0%) Mortality reduction in those
treated.
Peter, 2008 [56] Corticosteroid vs.
pl
5 303/268 127/141 Variable
(Hospital-
60d))
OR: 0.62
(0.23-1.26)
R (SD=0.53) No significant survival benefit
Tiruvoipati,
2008 [63]
Prone vs. supine
positioning
4 662/609 263/246 Variable
(ICU-6 m)
OR: 0.98
(0.70-1.30)
R (I2=18%) No significant survival benefit
Alsaghir, 2008
[45]
Prone vs. supine
positioning
3 241/225 113/113 ICU OR: 0.79
(0.45-1.39)
R (I2=40%) No difference in mortality.
Subgroup analysis suggested a
beneficial effect in patients
with higher illness severity
3 641/590 238/223 28-30 d OR: 0.95
(0.71-1.28)
R (I2=28%)
4 662/609 301/279 90 d OR: 0.99
(0.77-1.27)
R (I2=10%)
Agarwal, 2007
[43]
Corticosteroids
vs. pl (early
ARDS)
3 147/153 85/105 Variable
(Hospital /
30 d)
OR: 0.57
(0.25-1.32)
R (I2=53%) No benefit in survival
Corticosteroids
vs. pl (late
ARDS)
3 118/117 33/41 Variable
(Hospital /
30 d)
OR: 0.58
(0.22-1.53)
R (I2=42%)
Adhikari, 2007
[41]
Nitric oxide vs. pl 9 577/509 199/162 Hospital 1.10 (0.94-
1.30)
R (I2=0%) No mortality benefit
Agarwal, 2006
[44]
Noninvasive
ventilation with
conventional
treatment
3 55/56 17/20 ICU 0.96 (0.80-
1.12)
R (I2=0%) No survival benefit. No
difference between
intratracheal instillation and
aerosolized methods
Davidson,
2006[49]
Exogenous
pulmonary
surfactant vs. pl
6 631/639 235/255 28-30 d OR: 0.97
(0.73-1.3)
F (NA) Intervention did not improve
survival
Eichacker, 2002
[50]
Low vs. control
(higher TV and
plateau pressure)
tidal volumes
2 461/453 145/189 Variable
(Hospital-
28 d)
0.75 (0.63-
0.89)*
NA Significant heterogeneity in
outcomes that precluded a
single summary effect.
Low vs. control
(lower TV and
plateau pressure)
tidal volumes
3 144/144 70/62 Variable
(Hospital-
60 d)
1.13 (0.88-
1.45)*

Abbreviations: d: day, I2: heterogeneity, ICU: intensive care unit, m: month, MV: mechanical ventilation, NA: not available, OR: odds ratio, PEEP: positive end-expiratory pressure.SD: standard deviation among studies, TV: tidal volume.

*

approximate values obtained from their figure 1.

#

unless specified the value provided is risk ratio, otherwise odds ratio or risk reduction is reported.

Meta-analyses that have assessed low tidal volume have consistently suggested statistically significant mortality benefits [47, 50, 59] . However, upper 95% CIs are close to 1.00 and one meta-analysis found a benefit only in a subgroup that used a comparator of higher tidal volumes and plateau pressures.

One meta-analysis of HFOV showed a 23% significant reduction in the relative risk [61]; however, the two largest trials (published after this meta-analysis, each of them larger than the meta-analysis in sample size)[17, 32] have found either no benefit (risk ratio 1.02) [32] or a significantly increased risk of death (risk ratio 1.33) [17].

The 6 existing meta-analyses of high PEEP [46, 48, 55, 57, 59, 60] yield similar summary treatment effects with 95% CIs reach close to 1.00. One meta-analysis[46] found a favorable effect of high PEEP in ICU but not hospital mortality, nevertheless the results are consistently non-significant when the different levels of PEEP are compared in patients ventilated with low tidal volumes.

A meta-analysis[64] of intravenous cisatracurium infusion showed a mortality benefit at different time points (ICU, hospital and 28-day); however it included 3 studies of markedly different size performed by the same groups of investigators in France.

In addition, two meta-analysis using the same 3 studies [58, 67] found a reduction in mortality in patients receiving inflammatory modulation diet; however this result applies to data on 28-day mortality and are driven by the study discussed above[39] that had a favorable estimate at 28 days, but showed a trend for increased mortality at 14 days and no benefit at 90 days.

Eight of the 29 meta-analyses made claims for the presence of a survival benefit in subsets of patients with greater background disease severity and/or hypoxemia (n=6)[3, 40, 45, 46, 52, 55], with different doses (n=1)[53] or different settings for the control/background intervention (n=1)[50] (table 3). The most consistent observation seemed to be that prone positioning reduced the hospital mortality in the subgroup of patients with more severe hypoxemia, but not overall. This observation was made by at least 3 of the 5 respective meta-analyses, and it was validated also in a subsequent RCT [68] published after these 5 meta-analyses of prone positioning showing a 51% relative risk reduction (58% in adjusted analysis) in a study population with severe ARDS.

Discussion

Despite 159 RCTs and 29 meta-analyses on ARDS treatment, and sporadic significant findings in single papers, the available evidence seems to consistently support a reduction in overall mortality with low tidal volume ventilation and also with prone positioning among patients with severe ARDS. These two interventions may really be the only ones that can be currently recommended for routine clinical use with rigorous support.

Beyond these two interventions, sporadic claims of mortality benefits seem to be spurious and reflect chance findings or selective analyses, as has been seen also in other fields[69, 70]. This may apply to cisatracurium [24, 64], HFOV[61, 71], high PEEP [35, 46, 55, 57, 60], pressure control ventilation [37], corticosteroids [38, 53, 72], and inflammation-modulating diet [39, 58, 67]. Due to the limited number of patients, often we cannot exclude modest benefits with certainty. However, when large trials have been performed, they have shown no benefit, or even harm, as in the case of HFOV. Conducting additional definitive large trials may be warranted to settle some of the other unclear claims or before universally adopting results of a single large randomized control trial. An alternative approach would be the inclusion of fewer patients who are at higher-risk for the outcome of interest.

Even for the two best documented interventions that apparently decrease mortality in ARDS, the exact range of indications for their application is not fully settled. Mechanical ventilation with low-tidal volume is now a well-established practice in the treatment of ARDS as higher tidal volumes can overstretch the alveoli leading to inflammation and lung injury [73]. It remains unclear, however, whether this intervention provides a survival benefit when compared with relatively higher tidal volumes that limit the airway pressures [50]. Interestingly, this “lung-protective” ventilation modality is likely to be beneficial even among patients without ARDS [74]. As for prone ventilation, it has taken a long time (the first RCT was published in 2001) to decipher how to apply it. Five meta-analyses[3, 40, 45, 52, 63] published between 2008 and 2011 found very similar, non-significant overall effects, but at least 3 of them identified a significant benefit for mortality in patients with more severe ARDS[3, 40, 52]. Then, a recent large study showed a 28-day survival improvement in those patients that received prone positioning [20]. Low tidal volumes and prone positioning may even need to be applied concurrently. According to a meta-analysis published after the end of our search, benefits from prone position have been demonstrated only in trials that use also low tidal volumes [75].

Among other interventions, neuromuscular blockers and high PEEP have interesting tentative signals of benefit. Neuromuscular blockers may improve oxygenation and decrease inflammation [76, 77]. Cisatracurium has shown a 90-day adjusted survival benefit when compared to placebo [24], but not in an unadjusted analysis. Treatment effects that are analysis-dependent are tenuous [78]. A recent meta-analysis [64] also concludes in favor of the short-term infusion of cisatracurium as this treatment may reduce hospital mortality and barotraumas without significant side effects. However, the data come from the same group of investigators and the mortality benefits are driven largely by the trial that has shown significant benefits in adjusted analyses. Further independent corroboration of these results in multi-center trials is needed.

High levels of PEEP have not conclusively shown an improved survival. Meta-analyses have showed high heterogeneity [46, 48, 55, 57, 59, 60]. Perhaps this intervention might be beneficial in patients with severe ARDS, as in the case of prone ventilation, but this hypothesis needs validation in a large trial. Higher levels of PEEP may increase the proportion of aerated lung at end-expiration, preventing lung injury, improving oxygenation and permitting a lower inspiratory fraction of O2, which in turn limits pulmonary oxygen toxicity [79, 80].

The field of ARDS therapeutics has had a large number of RCTs and meta-analyses performed to-date. For some topics, there have been multiple (up to 6) meta-analyses on the same intervention. While some independent validation of meta-analyses is useful, redundancy could be avoided[81]. At this stage, it is unlikely that priority should be given to performing more small trials and more meta-analyses of single interventions. Besides the 155 published RCTs and 29 meta-analyses that we identified, in preliminary searches we identified another 117 unpublished trials in clinicaltrials.gov (37 completed, 21 not yet recruiting, 43 recruiting and 16 terminated) as of July 2013. Considering the possibility of additional trials that are neither published nor registered, the cumulative research agenda of ARDS may currently include over 300 RCTs. However, the large majority of them are small investigations where important outcomes such as mortality are difficult or impossible to investigate meaningfully. Results on mortality are likely to leave substantially uncertainty, even when they seem promising. Mortality benefits claimed on small trials very often represent spurious findings [82, 83]. There are few relatively large trials performed in the field, and the largest trial published to-date has had 1,001 patients. We suggest that modestly large trials (e.g. with 500-1000 patients) should become more common in the field. Such trials have been able to yield conclusive answers for tentative interventions, including both favorable (e.g. prone positioning) and unfavorable conclusions (e.g. HFOV). Nevertheless, of the 117 unpublished registered trials in clinicaltrials.gov, we found only 9 that have an anticipated total sample size exceeding 500 (details in the supplement).

While modestly large trials would require by default multi-center collaborations and sufficient resources, successful precedents such as the PROSEVA trial on prone positioning [20] suggest that such a strategy is worth adopting more commonly. Small trials are likely more susceptible to selective reporting of analyses and outcomes, and results may become even more confusing with emphasis on subgroup analyses and other secondary explorations of the data [8, 84]. Given that ARDS is a common major problem affecting millions of patients annually, recruiting sufficient numbers of patients should be feasible. This applies also to situations where interventions are proposed for testing in specific subsets of patients where there may be biological or prior clinical evidence that they may be more effective.

Another important issue is the lack of standardization in the time-period in which mortality in ARDS studies is reported. RCTs have used time-points that include ICU, hospital, 28-days up to 6-month mortality. This variability makes it difficult to compare the effects of different interventions. In many trials ICU and hospital mortalities were not reported, which are important outcome measures to assess the effect of ICU interventions. Most deaths in ARDS are not directly related to lung disease, but to extrapulmonary organ dysfunction [85], therefore it is challenging to prove than interventions targeting the lung improve overall survival.

Our umbrella review has limitations. Firstly, we are limited by the amount and quality of available information in primary studies [11]. Moreover, it is difficult to generalize the results of these studies given the diverse inclusion/exclusion criteria and severity of disease [3, 20, 24, 86, 87]. Furthermore, there is inequality in the contribution of centers and lack of protocolized general care. Second, the vast majority of the evidence pertained to testing an intervention versus control management. Trials comparing head-to-head effective interventions are not available. Lower tidal volume was incorporated in clinical practice lately and until recently no other interventions have had strong evidence to be used as standard controls. However, what constitutes standard management may change over time. Moreover, as some interventions start showing efficacy, head-to-head comparisons will become more important to perform [10]. One would need to design trials specifically addressing additive or synergistic effects of effective interventions, when these are used concomitantly [88]. Third, the results that we present focus on published information susceptible to reporting biases. Some of the spurious significant signals that we identified might have been reversed if additional unpublished data were available. However, obtaining unpublished data is notoriously difficult. This is one more reason why larger-scale collaboration to perform large multi-center trials are direly needed in the field. Issues of wider data sharing of the conducted trials, ideally at patient-level data, may need to be discussed as well [89]. Fourth, we focused specifically on mortality, while it is possible that some interventions may have beneficial effects on other outcomes, such as the duration of mechanical ventilation, without necessarily affecting mortality. Such interventions may still be useful, but here we focused on the most important outcome that matters in this setting.

Supplementary Material

134_2014_3272_MOESM1_ESM

Acknowledgements

The authors will like to thank the Cleveland Clinic medical librarian Kim Brady for her invaluable help in the PubMed, Cochran and clinicaltrial.gov searches.

Funding sources: Dr ART is supported by CTSA KL2 [Grant # TR000440] (A.R.T.) from the National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH), and NIH Roadmap for Medical Research.

Abbreviations

APACHE

Acute Physiology and Chronic Health Evaluation

APVR

airway pressure release ventilation

ARDS

acute respiratory distress syndrome

ARM

alveolar recruitment maneuvers

CI

confidence interval

d

day

HFOV

high-frequency oscillatory ventilation

HR

hazard ratio

ICU

intensive care unit

m

month

IV

intravenous

M

mortality

MV

mechanical ventilation

NA

not available

OR

odds ratio

PAC

pulmonary artery catheter

PCV

pressure-controlled ventilation

PEEP

positive end-expiratory pressure

PGE1

prostaglandin E1

PLV

partial liquid ventilation

PO

by mouth

PPV

positive pressure ventilation

RCT

randomized controlled trial

RR

relative risk

SIMV

synchronized intermittent ventilation

SOFA

Sequential Organ Failure Assessment score

VCV

volume-controlled ventilation

Footnotes

Authors’ contributions: Adriano R. Tonelli MD: Participated in the design of the study, data collection, study selection, analysis and interpretation of the results, writing and critical revision of the manuscript for important intellectual content and final approval of the manuscript submitted.

Joe Zein MD: Participated in the design of the study, data collection, study selection, analysis and interpretation of the results, writing of the manuscript and critical revision of the manuscript for important intellectual content and final approval of the manuscript submitted.

Jacob Adams DO: Participated in the design of the study, data collection, study selection, analysis and interpretation of the results and critical revision of the manuscript for important intellectual content and final approval of the manuscript submitted.

John P.A. Ioannidis, MD, DSc: Participated in the conception and design of the study, study selection, analysis and interpretation of the results, writing and critical revision of the manuscript for important intellectual content and final approval of the manuscript submitted.

Conflict of interest: Adriano R. Tonelli MD: The author has no significant conflicts of interest with any companies or organization whose products or services may be discussed in this article.

Joe Zein MD: The author has no significant conflicts of interest with any companies or organization whose products or services may be discussed in this article.

Jacob Adams MD: The author has no significant conflicts of interest with any companies or organization whose products or services may be discussed in this article.

John P.A. Ioannidis, MD, DSc: The author has no significant conflicts of interest with any companies or organization whose products or services may be discussed in this article.

None of the context of this paper were previously published / presented in any form.

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