Introduction

Acute respiratory distress syndrome (ARDS) is an acute life-threatening respiratory failure due to lung injury from a variety of critical illnesses, including sepsis, pneumonia, pancreatitis, and trauma [1]. ARDS is characterized by diffuse lung inflammation, increased alveolar-capillary membrane permeability, and pulmonary edema leading to the clinical manifestation of decreased lung compliance, decreased oxygenation (partial pressure of arterial oxygen to fraction of inspired oxygen [PaO2/FiO2] ≤300 with positive end-expiratory pressure [PEEP] ≥5 cmH2O), bilateral opacities on chest imaging [2]. Despite recent advances in overall support, ARDS still presents a high mortality rate of ~30 % [3, 4]. In the United States, ARDS causes 74,500 deaths each year [5]. Therefore, the development of effective therapy has important implication for the planning of critical care services, rehabilitation, and resource provision.

Nutritional input has been increasingly valued in critically ill patients, and early enteral nutrition is generally advised [6]. Enteral supplementation with ω-3 fatty acids (FA), such as eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), is thought to be beneficial in modulating the inflammatory processes [7]. Pontes-Arruda et al. [8] published a meta-analysis of trials conducted in patients with acute lung injury (ALI)/ARDS and found that enteral supplementation with ω-3 FA and γ-linolenic acid (GLA) could result in a significant reduction in the risk of mortality, duration of mechanical ventilation, and intensive care unit (ICU) stay. However, interpretation of these results is limited by small sample sizes and per-protocol analyses. Moreover, several recent randomized controlled trials (RCTs) reported conflicting findings, and the benefit and harm of enteral ω-3 FA is still uncertain [912].

We therefore conducted an updated systematic review of RCTs with meta-analysis and trial sequential analysis (TSA) to investigate the clinical efficacy and safety of enteral ω-3 FA supplementation in adult patients with ARDS.

Materials and methods

We followed the recommendations of the Cochrane handbook for systematic reviews of interventions and the preferred reporting Items for systematic reviews and meta-analyses (PRISMA) during all stages of the design, implementation and reporting of this meta-analysis [13, 14]. There was no formal protocol for this systematic review.

Search strategy and eligibility criteria

Two authors independently searched the following databases without language restrictions (updated to November 2013): Pubmed, Embase, and the Cochrane Register of Controlled Trials. The electronic search strategy combined terms related to omega-3 fatty acid (including MeSH search using exp “Fatty Acids, Omega-3”, and keyword search using words “omega-3 fatty acid”, “fish oil”, “unsaturated fatty acid”, “eicosapentaenoic acid”, “docosahexaenoic acid”) and terms related to acute respiratory distress syndrome (including MeSH search using exp “respiratory distress syndrome, adult”, and keyword search using words “acute respiratory distress syndrome”, “ARDS”, “ALI”, “acute lung injury”). We also checked the reference lists of RCTs and previous meta-analyses identified by the previous searches to include other potentially eligible trials. In addition, we reviewed the cited lists of eligible articles by Google Scholar to ensure that all appropriate studies were included.

Two authors independently included studies in the analysis if they met the following criteria: (1) study design: RCT; (2) population: adult patients (18 years or older) with ARDS (according to the Berlin Definition) [2]; (3) intervention: enteral supplementation of ω-3 FA compared with a control or placebo intervention; (4) outcome measures: all-cause 28-day mortality, ventilator-free days (VFD), ICU-free days, oxygenation status, and adverse events (as defined by the included trials). Studies were excluded if ω-3 FA were given for <24 h duration.

Data extraction

Using a predesigned data collection form and working in duplicate, two authors independently extracted the following data from each study: first author, year of publication, study design, patient characteristics, study methodology (e.g., inclusion/exclusion criteria, enteral nutrition [EN] administration protocol, and method of randomization and blinding), intervention (e.g., duration, form, and daily dose), and outcome measures. Authors of the included studies were contacted via E-mail if further study details were needed. Extracted data were checked by the third author, and any discrepancy was resolved by discussion.

Our primary outcome was all-cause 28-day mortality. Secondary outcomes included VFD and ICU-free days during the first 28 or 30 days, oxygenation status (defined by the PaO2/FiO2 ratio), and adverse events.

Assessment of risk bias

Methodological quality assessment was independently performed by two of the authors, and any disagreement was resolved by consensus. The risk of bias was assessed by using the components recommended by the Cochrane Collaboration: random sequence generation; allocation concealment; blinding of participants, personnel, and outcome assessors; incomplete outcome data; selective reporting; and other sources of bias [13]. Trials with high or unclear risk for bias for any one of the above components were considered as at high risk of bias. Otherwise, they were considered as low risk of bias.

Statistical analysis

The analyses were performed in Stata 11.2 (Stata Corporation, College Station, TX), RevMan 5.2 (The Nordic Cochrane Centre, Copenhagen, Denmark), and TSA 0.9 (The Copenhagen Trial Unit, Copenhagen, Denmark). We estimated the relative risk (RR) with 95 % confidence intervals (CI) for dichotomous outcomes, and the weighted mean difference (WMD) with 95 % CI for continuous outcomes. We used a fixed effect model if no statistical heterogeneity was present (I 2 = 0) and used both fixed effect model and random effects model in case of heterogeneity (I 2 > 0). Heterogeneity was expressed as the I 2 statistic, and I 2 > 50 % indicated significant heterogeneity [15].

To identify potential sources of heterogeneity, we a priori defined a hypothesis: the type of control formula (larger effect in trials using high-fat control formula vs. trials using lipid-poor control formula). This subgroup analysis allowed evaluating the effect of high-fat control formula which was high in pro-inflammatory ω-6 FA [16]. We estimated the difference between the estimates of the subgroups according to tests for interaction [17]. The p value <0.05 indicates that the effects of treatment differ between the tested subgroups.

The influence of trials with zero events in the treatment or control group was assessed by recalculating the meta-analyses with 0.5 empirical continuity corrections [18].

Meta-analyses may result in type I errors due to an increased risk of random error when few data are collected and due to repeated significance testing when a cumulative meta-analysis is updated with new trials [19]. We conducted TSA to reduce the risk of random error. TSA combines information size estimation for meta-analysis (cumulated sample size of included trials) with an adjusted threshold (trial sequential monitoring boundaries) for statistical significance in the cumulative meta-analysis. The idea in TSA is that if the cumulative Z-curve crosses the trial sequential monitoring boundary, a sufficient level of evidence has been reached and no further trials are needed. If the Z-curve does not cross the boundary and the required information size has not been reached there is insufficient evidence to reach a conclusion. The TSA was performed with a desire to maintain a type I error of 5 %, and we calculated the required information size [that is, the meta-analysis information size needed to detect or reject an anticipated intervention effect of a 20 % relative risk reduction (RRR) in all-cause 28-day mortality, with a risk of type II error of 20 %, at a power of 80 %] [20].

Graphic exploration with funnel plot was used to evaluate the small trial bias visually. The Egger’s test was used to assess small trial bias statistically. Results were considered as statistically significant for p < 0.05.

Results

Study selection

A total of 2,225 studies were retrieved, and 7 RCTs with a total of 955 adult patients qualified for inclusion (eFig. 1 in supplementary material) [912, 2123]. The two authors had no disagreements for study selection.

Among these trials, four were conducted in North America [1012, 21], and one each in Brazil [22], Israel [23], and Spain [9]. Five trials were multicenter studies [912, 21]. The mean age of the patients ranged from 49 to 66 years. Severity of illness at baseline was objectively defined by six trials using internationally recognized scoring systems [912, 22, 23]. All included trials reported the PaO2/FiO2 ratio at baseline and EN administration protocols. One trial used ω-3 FA alone [11], while six trials used ω-3 FA combined with GLA and antioxidants [9, 10, 12, 2123]. Four trials used high-fat control EN [12, 2123], and three trials used lipid-poor control EN or placebo [911]. The characteristics of the included trials are shown in Table 1.

Table 1 Characteristics of included RCTs

Risk of bias in included studies

Among all the selected trials, randomized sequence and allocation sequence concealment were conducted adequately. Blinding was well conducted in five of seven trials [1012, 21, 22], while two trials were open-label [9, 23]. Four trials were judged as being at high risk of attrition bias because they did not perform an intention-to-treat (ITT) analysis [9, 12, 22, 23]. One trial was at high risk of reporting bias because the outcomes were reported with inadequate detail [12]. Four trials were at high risk of other sources of bias because they had baseline imbalance [10, 11, 21, 23]. All the selected trials were considered as at high risk of bias (eTable 1 in supplementary material).

Primary outcome

In meta-analysis of seven trials with 955 participants, the use of enteral ω-3 FA did not significantly reduce all-cause 28-day mortality [RR (fixed effect), 0.90; 95 % CI, 0.73–1.12; p = 0.36; I 2 = 31 %; and RR (random effects), 0.90; 95 % CI, 0.68–1.18; p = 0.44] (Fig. 1).

Fig. 1
figure 1

Effect of enteral ω-3 FA supplementation on mortality. RR relative risk, CI confidence interval

Secondary outcomes

On the basis of the meta-analysis of four trials with 561 participants [10, 11, 21, 22], the use of enteral ω-3 FA increased both VFD (WMD, 1.83 days; 95 % CI, 0.24–3.42; p = 0.02; I 2 = 91 %) and ICU-free days (WMD, 1.72 days; 95 % CI, 0.21–3.23; p = 0.03; I 2 = 89 %) significantly in a fixed effect model, but these findings were associated with significant heterogeneity. When analysed in a random effects model, these significant effects were no longer present [WMD (VFD), 2.47 days; 95 % CI, −2.85 to 7.79; p = 0.36; and WMD (ICU-free days), 2.31 days; 95 % CI, −2.34 to 6.97; p = 0.33] (Table 2).

Table 2 Meta-analysis of included trials

Six trials reported PaO2/FiO2 ratio at baseline (n = 789), day 4 (n = 615), and day 7 (n = 448) [911, 2123]. No significant difference was detected between the groups at baseline [WMD (fixed effect), −5.62; 95 % CI, −11.58 to 0.34; p = 0.06; I 2 = 14 %; and WMD (random effects), −7.08; 95 % CI, −14.64 to 0.48; p = 0.07]. In contrast to control group, the PaO2/FiO2 ratio was significantly increased in the ω-3 FA group on day 4 [WMD (fixed effect), 65.74; 95 % CI, 59.86–71.61; p < 0.00001; I 2 = 86 %; and WMD (random effects), 45.14; 95 % CI, 16.77–73.51; p = 0.002] and day 7 [WMD (fixed effect), 58.46; 95 % CI, 50.62–66.31; p < 0.00001; I 2 = 88 %; and WMD (random effects), 33.10; 95 % CI, 1.67–64.52; p = 0.04], but these findings were associated with significant heterogeneity.

Table 3 gives details of adverse events. 5 trials involving 743 participants reported adverse events [911, 21, 22], including gastrointestinal events, cardiac events, respiratory disorders, hematologic disorders, and nosocomial infections. Since adverse events were variably reported, we did not combine these data.

Table 3 Adverse events of included trials

Subgroup analysis

For outcomes of mortality, VFD, ICU-free days, PaO2/FiO2 ratio on day 4, and PaO2/FiO2 ratio on day 7, significant differences were observed between trials using high-fat control formula and trials using lipid-poor control formula by the test of interaction (random effects model, p = 0.009, 0.0006, 0.0007, 0.002, and 0.007, respectively). Larger effect was found in trials using high-fat control formula. Heterogeneity was decreased in these subgroup analyses (eTable 2 in supplementary material). For PaO2/FiO2 ratio at baseline, there was no significant interaction (random effects model, p = 0.84).

Sensitivity analysis

We included one trial with zero mortality in one arm [12]. To account for the potential influence of this trial, we calculated the RR with 0.5 as empirical continuity corrections. The fixed effect and random effects model RRs for the continuity corrections were: 0.9 (95 % CI, 0.73–1.12); 0.9 (95 % CI, 0.68–1.19), respectively.

TSA

For all-cause 28-day mortality, the required diversity (D 2 = 40 %, model variance based) adjusted information size (3,496 participants) was calculated based on a proportion of 26 % events in the control group, an RRR of 20 %, a type I error of 5 %, and a type II error of 80 %. The cumulative Z-curve did not crossed the trial sequential monitoring boundary and the required information size was not reached, suggesting a lack of firm evidence for an intervention effect of 20 % a RRR (Fig. 2). Only 27 % (955/3,496 patients) of the required information size was accrued.

Fig. 2
figure 2

TSA assessing effect of enteral ω-3 FA supplementation on mortality. Cumulative Z-curve did not cross the trial sequential monitoring boundary and the required diversity-adjusted information size (DIS) was not reached, indicating a lack of firm evidence for a RRR of 20 %

Small trial bias

The funnel plot for mortality was symmetrical, indicating that small trial bias is unlikely to have had a major influence on the analysis of mortality (eFig. 2 in supplementary material). Furthermore, Egger’s test did not indicate significant small trial bias (p = 0.76).

Discussion

In the present systematic review using meta-analysis and TSA on enteral ω-3 FA supplementation in adult ARDS patients, enteral ω-3 FA supplementation was not statistically significantly different from placebo or control in terms of all-cause 28-day mortality, VFD and ICU-free days.

Differences between the current study and the previous one conducted by Pontes-Arruda et al. [8] should be noted. In their meta-analysis, only three trials with a total of 296 evaluable patients were included [2123], which might have led to the indefinite conclusion. In addition, two included trials did not carry out analyses in an ITT manner [22, 23], thereby producing a potential for attrition bias. In our meta-analysis, seven trials with 955 patients were included, and analysis of the primary outcome was on an ITT basis. We also performed TSA to prevent premature statements of superiority or inferiority of the enteral ω-3 FA supplementation.

Our meta-analysis indicated that all-cause 28-day mortality was not significantly reduced by the enteral ω-3 FA supplementation, which was not in line with the result of Pontes-Arruda et al. [8]. There are several possible explanations for this discrepancy. First, the result of our meta-analysis was based on seven trials, whereas Pontes-Arruda et al. [8] included only three trials. Second, our meta-analysis included three trials (n = 522) which used a lipid-poor formula or placebo in the control group, while all three trials included in previous meta-analysis used an isonitrogenous-isocaloric high-fat formula as a control. This control formula contained predominately ω-6 FA to match the percentage of calories from fat, protein, and carbohydrate in the ω-3 FA formula. The high-fat formula is not standard of care in patients with acute respiratory failure, and it is richer in lipids than most of the currently used formula [6]. It is possible that the high-fat formula may be pro-inflammatory and alter pulmonary gas exchange, resulting in worsened clinical outcomes in the control group [24, 25]. Mortality of the control group in the trials using high-fat formula ranged 12.5–54.0 %, whereas mortality of the control group ranged 13.2–20.4 % in the trials using lipid-poor formula or placebo. In the subgroup analysis, significant interaction was observed between trials using high-fat control formula and trials using lipid-poor control formula, and ω-3 FA was associated with greater benefit in trials using high-fat control formula.

The results of TSA revealed absence of firm evidence for a 20 % RRR in all-cause 28-day mortality with enteral ω-3 FA supplementation. Mortality for ARDS has declined during the past two decades [26]. The decrease in mortality may have been a result of improvement in the management of patients, such as lung protective ventilation, prone positioning, conservative fluid management, and early antibiotics [27].

In the present meta-analysis, PaO2/FiO2 ratio was significantly increased in the ω-3 FA group on day 4, but the increase of PaO2/FiO2 ratio became marginally significant on day 7. In ARDS, one of the primary therapeutic goals is to increase oxygenation by reducing pulmonary inflammation, and it has been postulated that the inflammatory response might be modulated by nutritional substrates [28]. EPA and DHA can reduce inflammatory eicosanoid production and blunt the inflammatory response [29]. Consequently, it is plausible that supplementation with ω-3 FA could result in improvement of oxygenation status. However, the improved PaO2/FiO2 ratio did not accompany with an increase in VFD or ICU-free days. The PaO2/FiO2 ratio is a surrogate outcome measure which often tends to overestimate an intervention effect [30]. Thus, the short-term improvement in PaO2/FiO2 ratio might not be a reliable prediction of intervention benefit.

It is important to evaluate the safety of enteral ω-3 FA supplementation. In the included trials, enteral ω-3 FA supplementation was well tolerated without severe adverse events. Diarrhea is one of the most frequent adverse events associated with enteral ω-3 FA, and diarrhea rate of the ω-3 FA group ranged from 10 to 28.7 %.

On the basis of three trials [2123], the Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (ASPEN) provided a grade A recommendation to endorse the use of enteral ω-3 FA, GLA and antioxidants in the treatment of ARDS [6]. However, the results of the present study call into question the foundations of this recommendation. Given the lack of firm evidence for clinical benefits of enteral ω-3 FA supplementation, the current ASPEN guidelines might need to be reconsidered.

A strength of our systematic review was the TSA we performed. By using TSA we have demonstrated that the quantity of evidence on enteral ω-3 FA supplementation in adult ARDS patients is low. Another strength was that we conducted this systematic review with methodology following the recommendations of the Cochrane Collaboration. However, some limitations of this meta-analysis should be considered. First, there was considerable heterogeneity among the included trials. The included trials differed in EN formula, En administration, and treatment protocol. The primary cause of ARDS varied, including pneumonia, sepsis, aspiration, and trauma. Thus, caution should be taken when interpreting the results. Second, all the included trials were at high risk of bias and potentially prone to bias. Finally, the lack of a protocol could increase the risk of bias.

Conclusions

This systematic review using meta-analysis and TSA has demonstrated that the quality and quantity of evidence for the use of enteral ω-3 FA supplementation in adult ARDS patients is low and there is no firm evidence for benefit or harm as compared to placebo or control. Its routine use cannot be recommended based on the available evidence. Future large-scale, high-quality RCTs are still required to clarify the effectiveness of enteral ω-3 FA supplementation in ARDS.