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. 2022 Jul 29;101(30):e29556. doi: 10.1097/MD.0000000000029556

Effects of omega-3 fatty acid on major cardiovascular outcomes: A systematic review and meta-analysis

Fangyu Yu 1,*, Shun Qi 1, Yanan Ji 1, Xizhi Wang 1, Shaohong Fang 1, Ruokui Cao 1
PMCID: PMC9333496  PMID: 35905212

Abstract

Background:

The effects of omega-3 fatty acid on cardiovascular health obtained inconsistent results. A systematic review and meta-analysis were therefore conducted to assess the effects of omega-3 fatty acid supplementation for primary and secondary prevention strategies of major cardiovascular outcomes.

Methods:

The databases of PubMed, Embase, and the Cochrane library were systematically searched from their inception until September 2020. Relative risks (RRs) with 95% confidence intervals were used to assess effect estimates by using the random-effects model.

Results:

Twenty-eight randomized controlled trials involving 136,965 individuals were selected for the final meta-analysis. Omega-3 fatty acid was noted to be associated with a lower risk of major cardiovascular events (RR, 0.94; 95% CI, 0.89–1.00; P = .049) and cardiac death (RR, 0.92; 95% CI, 0.85–0.99; P = .022). However, no significant differences was noted between omega-3 fatty acid and the control for the risks of all-cause mortality (RR, 0.97; 95% CI, 0.92–1.03; P = .301), myocardial infarction (RR, 0.90; 95% CI, 0.80–1.01; P = .077), and stroke (RR, 1.02; 95% CI, 0.94–1.11; P = .694).

Conclusions:

Major cardiovascular events and cardiac death risks could be avoided with the use of omega-3 fatty acid. However, it has no significant effects on the risk of all-cause mortality, myocardial infarction, and stroke.

Keywords: omega-3 fatty acid, cardiovascular disease, meta-analysis

1. Introduction

Cardiovascular disease (CVD) is the leading cause of death accounting for 179 million deaths annually worldwide. The incidence of CVD remains high although patients at high cardiovascular risk were treated with primary and secondary prevention strategies.[13] Patients still suffer substantial residual cardiovascular risk even if the CVD risk was significantly reduced in patients using appropriate treatment with statins.[4] An elevated triglyceride level was considered as an independent factor for the high residual risk on subsequent CVD.[5,6] Therefore, additional strategies should be applied to further reduce residual risk in patients.

Omega-3 fatty acids have already been approved by the US Food and Drug Administration to further reduce elevated triglyceride levels. However, studies found that long-chain omega-3 fatty acids, which including eicosapentaenoic (EPA) and docosahexaenoic acids (DHA), did not show CVD benefits, irrespective of primary or secondary prevention.[7,8] Moreover, the use of omega-3 fatty acid showed better tolerability and safety for preventing further CVD risk.[9] Furthermore, lowering of blood pressure, increasing plaque stability, and improving endothelial function are the potential benefits of omega-3 fatty acids.[1012] Furthermore, the effects of omega-3 fatty acids on the risk of major cardiovascular outcomes obtained inconsistent results. Numerous randomized controlled trials (RCTs) have already been completed. Khan conducted a systematic review and found EPA and DHA reduced cardiovascular mortality and improved cardiovascular outcomes.[13] However, other omega-3 fatty acid (e.g., fish oils and α-linolenic acid) were not included in Khan’s study which also suggested favorable effect to cardiovascular outcomes.[26] Therefore, these data should be entered into the meta-analysis and the pooled conclusions updated. Therefore, a systematic review and meta-analysis of RCTs were conducted to evaluate the effects of omega-3 fatty acid supplementation on major cardiovascular outcomes. Moreover, the effects of omega-3 fatty acid according to the different characteristics of patients were also illustrated.

2. Methods

2.1. Ethical approvement and clinical registration

This study is a meta-analysis and does not contain any information of patients and ethical approvement and clinical registration are not applicable.

2.2. Data sources, search strategy, and selection criteria

The Preferred Reporting Items for Systematic Reviews and Meta-Analysis Statement was used to guide the performance and conduct of this systematic review and meta-analysis.[14] Included in this study were RCTs that investigated the effects of omega-3 fatty acid supplementation on major cardiovascular outcomes. However, the language of publication was restricted to English. The electronic databases of PubMed, Embase, and the Cochrane library were systematically searched for eligible studies using the following search terms: “omega-3 FA,” “omega-3 polyunsaturated fat,” “fish oils,” “ω-3 FA,” and “randomized controlled trial.” The publication data for the trials were from their inception until September 2020. The ongoing RCTs were also identified in https://clinicaltrials.gov/ which summarizes the trials that have already registered or have been completed but not yet published. The bibliographies of the retrieved trials were also manually reviewed for any new relevant trials.

Two reviewers independently performed the literature search and study selection. Inconsistencies between reviewers were resolved by group discussion. The trial was included if they met the following inclusion criteria: (1) participants (patients with cardiovascular disease (CVD) history or at high risk for CVD); (2) intervention (omega-3 fatty acid supplementation); (3) control (omega-6 fatty acid supplementation, placebo, or usual care); (4) outcome (the study should have reported at least one of the major cardiovascular events (MACEs), all-cause mortality, cardiac death, myocardial infarction (MI), and stroke); and (5) study design (the study had to have the RCT design).

2.3. Data collection and quality assessment

The data from the retrieved trials were independently abstracted by two reviewers. The collected data included the first author or the name of the study group, publication year, country, sample size, mean age, male gender (in percent), body mass index (BMI), smoking (in percent), hypertension (in percent), diabetes mellitus (DM), prevention, intervention, follow-up duration, and reported outcomes. The Jadad scale, which was based on randomization, concealment of the treatment allocation, blinding, completeness of follow-up, or the use of the intention-to-treat analysis, was used by two reviewers to independently assess the quality of the individual trial. The scale system ranged from 0–5.[15] Conflicts on data collection and quality assessment between reviewers were settled by an additional reviewer who referred to the original article.

2.4. Statistical analysis

The results of MACEs, all-cause mortality, cardiac death, MI, and stroke in each trial were assigned as dichotomous data. In addition, the individual relative risk (RR) with 95% confidence interval (CI) was calculated before data pooling. Furthermore, random-effects were applied to calculate the pooled effect estimates considering the underlying variations across the included trials.[16,17] The I2 and Q statistics were used to assess the heterogeneity across the included trials. Significant heterogeneity was defined as I2 > 50.0% or P < .10.[18,19] Sensitivity analysis was conducted to assess the stability of pooled conclusions by sequentially excluding individual trials.[20] Subgroup analyses were performed for MACEs, all-cause mortality, cardiac death, MI, and stroke according to sample size, mean age, male (in percent), BMI (in percent), smoking (in percent), hypertension (in percent), DM (in percent), prevention, follow-up, or study quality. Moreover, the interaction tests, which was based on Student’s t-distribution, was used to evaluate the differences between subgroups.[21] The qualitative (funnel plot) and quantitative methods (Egger and Begg tests) were also used to evaluate reported outcomes of publication biases.[22,23] The inspective level for pooled results is two-sided, and 0.05 was regarded as the cutoff. All statistical analyses in this study were conducted using the software STATA (version 10.0 StataCorp, College Station, TX).

3. Results

3.1. Search for published literature

Initial electronic searches identified 4371 records, and 2697 articles were retained after the duplicates were removed. Identified for full-text evaluations were 245 articles, and 217 studies were excluded because of insufficient data (n = 89), absence of an RCT design (n = 76), and other intervention (n = 52). Reviewing the reference lists of the remaining trials yielded 25 potentially eligible trials. All of these trials were included in initial electronic searches. The remaining 28 RCTs were then selected for the final meta-analysis [2451]. The details of the study selection are shown in Figure 1.

Figure 1.

Figure 1.

PRISMA flowchart for the literature search and trial selection.

3.2. Characteristics of the included studies

Table 1 shows the baseline characteristics of the included studies and involved patients. Of the 28 included trials, 136,965 patients at high cardiovascular risk were recruited. The included trials were published between 1989 and 2019, and 101–25,871 patients were included in individual trials. Twelve and 18 trials applied omega-3 fatty acids as primary and secondary preventions, respectively. The mean follow-up duration ranged from 1–7.4 years, and the Jadad scale for the included trials ranged from 3–5. Twelve, ten, and six trials scored 5, 4, and 3, respectively. The trials that scored 4 or 5 in this study were considered as high quality.

Table 1.

The summary characteristics in eligible study and involved individuals.

Study Country Sample size Mean age (yr) Male (%) BMI (kg/m2) Smoking (%) Hypertension (%) DM (%) Prevention Intervention Follow-up Study quality
Burr 1989 [23] UK 2033 (1015/1018) 56.5 100.0 NA 62.0 23.6 NA Secondary N-3 EPA + DHA vs nil or oily fish advice (or capsule) vs not 2.0 yr 3
Eritsland 1996 [24] Norway 610 (317/293) 60.0 86.9 25.3 19.2 22.3 6.9 Secondary N-3 EPA + DHA vs nil 1.0 yr 4
GISSI-P 1999 [25] Italy 11324 (5666/5658) 59.4 85.3 26.5 42.4 35.6 14.8 Secondary N-3 EPA + DHA vs nil 3.5 yr 5
Nilsen 2001 [26] Norway 300 (150/150) 64.0 79.3 26.0 38.7 24.3 10.3 Secondary N-3 EPA + DHA vs corn oil 2.0 yr 3
Bemelmans 2002 [27] Netherlands 266 (109/157) 54.1 44.0 NA 49.2 48.5 NA Primary a-linolenic acid vs omega-6 2.0 yr 4
Burr 2003 [28] UK 3114 (1571/1543) 61.1 100.0 28.2 23.7 48.0 12.4 Secondary Oily fish or capsules n-3 EPA + DHA vs nil 3.0–9.0 yr 3
Leaf 2005 [29] USA 402 (200/202) 65.5 83.1 NA 12.2 NA NA Secondary N-3 EPA + DHA vs MUFA 1.0 yr 4
Raitt 2005 [30] USA 200 (100/100) 62.5 86.0 NA NA 50.5 23.5 Secondary N-3 EPA + DHA vs MUFA 2.0 yr 4
Brouwer 2006 [31] Europe (8 countries) 546 (273/273) 61.5 84.1 26.9 12.3 50.7 15.9 Secondary N-3 EPA + DHA vs MUFA and n6 1.0 yr 5
Yokoyama 2007 [32] Japan 18645 (9326/9319) 61.0 31.5 24.0 19.0 35.5 16.0 Primary and secondary EPA capsule vs nil 5.0 yr 4
GISSI-HF 2008 [33] Italy 6975 (3494/3481) 67.0 78.3 27.0 14.2 54.6 28.3 Secondary N-3 EPA + DHA vs MUFA 3.9 yr 5
Tuttle 2008 [34] USA 101 (51/50) 58.0 74.3 30.5 27.7 46.5 19.8 Secondary EPA + DHA vs MUFA 2.0 yr 4
Quinn 2010 [35] USA 402 (238/164) 76.0 47.8 26.0 23.4 NA NA Primary N-3 DHA vs n-6 LA 1.5 yr 5
Kromhout 2010 [36] Netherlands 4837 (2404/2433) 69.0 78.1 27.8 16.8 89.7 21.0 Secondary N-3 EPA + DHA vs nil 3.3 yr 5
Einvik 2010 [37] Norway 563 (282/281) 70.1 100.0 26.5 34.0 28.0 14.5 Primary N-3 DHA + EPA vs n-6 LA also dietary advice intervention 3.0 yr 4
Rauch 2010 [38] Germany 3818 (1925/1893) 64.0 74.4 27.5 36.7 66.5 27.0 Secondary Omega-3 vs olive oil 1.0 yr 5
Galan 2010 [39] France 2501 (1253/1248) 60.6 79.4 27.2 10.9 NA NA Primary N-3 omega-3 vs paraffin (non-fat), also B vitamin comparison 4.0 yr 5
ORIGIN 2012 [40] 40 locations in Europe and the Americas 12536 (6281/6255) 63.5 65.0 29.8 12.3 79.5 NA Primary N-3 omega-3 vs MUFA 6.0 yr 5
Macchia 2013 [41] Argentina 586 (289/297) 66.1 54.8 NA 7.6 91.4 12.9 Secondary N-3 EPA + DHA vs MUFA 1.0 yr 4
Risk & Prevention 2013 [42] Italy 12513 (6244/6269) 64.0 61.5 NA 21.8 84.6 59.9 Primary N-3 omega-3 vs olive oil 5.0 yr 4
Nigam 2014 [43] Canada 316 (153/163) 61.0 66.8 29.0 NA 43.4 8.2 Secondary N-3 EPA + DHA vs n-6 1.0 yr 3
AREDS2 2014 [44] USA 4203 (2147/2056) 74.3 43.2 NA 56.6 NA 13.0 Primary N-3 EPA + DHA vs nil 5.0 yr 5
Doi 2014 [45] Japan 115 (57/58) 70.0 74.8 24.0 34.8 68.7 37.4 Secondary N-3 EPA vs nil 1.0 yr 3
Alfaddagh 2017 [46] USA 240 (126/114) 63.0 85.0 30.7 NA 83.3 28.3 Secondary N-3 omega-3 vs nil 2.5 yr 3
ASCEND 2018 [47] UK 15480 (7740/7740) 63.3 62.6 30.8 8.3 NA 100.0 Primary N-3 EPA + DHA vs MUFA 7.4 yr 5
Pahor 2019 [48] USA 289 (148/141) 77.6 52.6 31.4 NA 69.2 23.5 Primary N-3 vs PUFA plus or minus losartan 1.0 yr 4
Bhatt 2019 [49] 11 Countries in Westernised, Eastern Europe, Asia Pacific 8179 (4089/4090) 64.0 71.2 30.8 NA NA 58.5 Primary and secondary N-3 omega-3 vs paraffin oil 4.9 yr 5
Manson 2019 [50] USA 25871 (12933/12938) 67.1 49.4 28.1 7.2 49.8 13.7 Primary N-3 omega-3 vs MUFA 5.3 yr 5

3.3. Major cardiovascular events

Twenty-two RCTs showed the effect of omega-3 fatty acids on the risk of MACEs. Omega-3 fatty acids was associated with a reduced risk of MACEs (RR, 0.94; 95% CI, 0.89–1.00; P = .049; Fig. 2). In addition, significant heterogeneity was seen across included trials (I2 = 62.0%; P < 0.001). The pooled conclusion for MACEs was variable after sequentially excluding individual trials because of the marginal 95% CI (Supplemental Digital Content 1, http://links.lww.com/MD2/B85). Subgroup analysis suggested that the beneficial effect of omega-3 fatty acids on MACEs risk was mainly observed in the groups with a sample size of ≥1,000, a male proportion of ≥80.0%, omega-3 fatty acids used as primary prevention, follow-up duration of ≥3 years, and trials of high quality (Table 2). Moreover, the differences among subgroups based on smoking (P < .001) and hypertension proportions (P = .002) were associated with statistical significance. No significant publication bias for MACEs was observed (P-value for Egger, 0.648; P value for Begg, 0.236; Supplemental Digital Content 2, http://links.lww.com/MD2/B86).

Figure 2.

Figure 2.

Forest plot for the effects of omega-3 fatty acids on the risk of major cardiovascular events.

Table 2.

Subgroup analyses.

Outcomes Variables Group RR and 95% CI P value Heterogeneity (%) P value for heterogeneity P value between subgroups
Major cardiovascular events Sample size = 1000 0.94 (0.89–1.00) .038 65.3 .001 1.000
< 1000 0.89 (0.68–1.17) .406 61.4 .008
Mean age (yr) = 60.0 0.96 (0.91–1.02) .184 57.6 .001 .080
< 60.0 0.76 (0.57–1.02) .066 79.5 .008
Male proportion (%) = 80.0 0.92 (0.85–0.99) .036 0.0 .781 .399
< 80.0 0.95 (0.88–1.01) .122 69.7
BMI (kg/m2) = 28.0 0.90 (0.79–1.04) .158 81.6 .479
< 28.0 0.97 (0.90–1.03) .323 36.2 .119
Not reported 0.95 (0.89–1.04) .295 0.0 .637
Smoking (%) = 30.0 0.96 (0.86–1.07) .479 34.4 .165
< 30.0 0.96 (0.91–1.02) .161 50.0 .029
Not reported 0.96 (0.65–1.40) .819 68.2 .024
Hypertension (%) = 50.0 0.99 (0.95–1.02) .486 0.0 .494 .002
< 50.0 0.89 (0.78–1.01) .076 63.0 .008
Not reported 0.92 (0.79–1.08) .296 81.0 .001
DM (%) = 20.0 0.96 (0.88–1.05) .346 72.5 .134
< 20.0 0.91 (0.81–1.02) .108 54.9 .018
Not reported 0.99 (0.91–1.08) .851 8.5 .335
Prevention Primary 0.92 (0.85–1.00) .050 68.0 .001 .237
Secondary 0.97 (0.88–1.07) .540 57.3 .007
Follow-up (yr) = 3.0 0.94 (0.89–1.00) .040 65.1 .001 .877
< 3.0 0.94 (0.80–1.11) .474 62.5 .003
Study quality High 0.93 (0.88–1.00) .037 70.0 .619
Low 1.00 (0.86–1.15) .949 28.4 .212
All-cause mortality Sample size = 1000 0.98 (0.93–1.03) .421 47.6 .029 .158
< 1000 0.77 (0.56–1.07) .121 7.7 .371
Mean age (yr) = 60.0 0.99 (0.95–1.04) .751 16.0 .255 .004
< 60.0 0.79 (0.63–0.99) .042 38.3 .182
Male proportion (%) = 80.0 0.86 (0.70–1.05) .135 61.0 .012 .155
< 80.0 0.98 (0.94–1.02) .358 4.7 .400
BMI (kg/m2) = 28.0 0.99 (0.91–1.07) .750 48.2 .085 .621
< 28.0 0.97 (0.89–1.07) .593 33.4 .123
Not reported 0.86 (0.67–1.11) .258 41.9 .126
Smoking (%) = 30.0 0.86 (0.71–1.04) .130 38.9 .133 .017
< 30.0 1.00 (0.95–1.04) .919 12.0 .319
Not reported 0.73 (0.37–1.42) .353 46.5 .171
Hypertension (%) = 50.0 0.98 (0.92–1.04) .504 13.6 .321 .763
< 50.0 0.95 (0.83–1.09) .492 61.8 .005
Not reported 0.94 (0.87–1.02) .135 0.0 .667
DM (%) = 20.0 0.96 (0.90–1.03) .244 20.8 .265 .670
< 20.0 0.99 (0.86–1.13) .835 52.9 .024
Not reported 0.92 (0.79–1.09) .334 28.5 .221
Prevention Primary 0.99 (0.94–1.04) .618 10.5 .346 .239
Secondary 0.95 (0.85–1.06) .336 46.5 .029
Follow-up (yr) = 3.0 0.99 (0.94–1.04) .682 27.7 .181 .024
< 3.0 0.88 (0.73–1.06) .178 28.6 .157
Study quality High 0.97 (0.92–1.02) .233 23.5 .171 .714
Low 0.86 (0.61–1.23) .415 66.8 .017
Cardiac death Sample size = 1000 0.92 (0.85–1.00) .050 48.7 .029 .205
< 1000 0.70 (0.45–1.08) .105 0.0 .702
Mean age (yr) = 60.0 0.95 (0.88–1.02) .146 20.6 .224 .015
< 60.0 0.78 (0.67–0.92) .003 9.2 .347
Male proportion (%) = 80.0 0.83 (0.63–1.09) .189 68.5 .004 .518
< 80.0 0.93 (0.88–0.99) .013 0.0 .768
BMI (kg/m2) = 28.0 0.95 (0.82–1.10) .492 64.8 .014 .431
< 28.0 0.90 (0.84–0.97) .007 0.0 .755
Not reported 0.85 (0.62–1.15) .279 40.7 .150
Smoking (%) = 30.0 0.80 (0.71–0.91) .001 0.0 .721 .016
< 30.0 0.97 (0.89–1.05) .462 33.1 .134
Not reported 0.81 (0.67–0.98) .032 0.0 .390
Hypertension (%) = 50.0 0.95 (0.89–1.02) .151 0.0 .594 .135
< 50.0 0.91 (0.75–1.10) .306 55.6 .021
Not reported 0.82 (0.72–0.94) .004 0.0 .901
DM (%) = 20.0 0.91 (0.85–0.97) .006 0.0 .516 .774
< 20.0 0.94 (0.76–1.15) .518 52.3 .040
Not reported 0.86 (0.65–1.14) .289 53.3 .092
Prevention Primary 0.93 (0.86–1.00) .053 0.0 .506 .838
Secondary 0.91 (0.79–1.04) .173 51.3 .025
Follow-up (yr) = 3.0 0.95 (0.88–1.03) .245 37.1 .112 .012
< 3.0 0.80 (0.70–0.90) < .001 0.0 .626
Study quality High 0.92 (0.87–0.97) .001 0.0 .708 .430
Low 0.85 (0.52–1.37) .500 80.7 .001
Myocardial infarction Sample size = 1000 0.90 (0.79–1.02) .091 63.4 .002 .818
< 1000 0.97 (0.59–1.59) .890 0.0 .431
Mean age (yr) = 60.0 0.87 (0.77–0.99) .028 47.9 .023 .101
< 60.0 1.03 (0.68–1.55) .889 46.8 .130
Male proportion (%) = 80.0 1.07 (0.73–1.59) .723 39.1 .177 .082
< 80.0 0.87 (0.76–0.98) .026 48.7 .021
BMI (kg/m2) = 28.0 0.84 (0.68–1.04) .102 79.5 .001 .424
< 28.0 0.91 (0.79–1.04) .165 0.6 .419
Not reported 1.01 (0.76–1.33) .956 17.0 .304
Smoking (%) = 30.0 1.09 (0.88–1.36) .441 12.4 .336 .001
< 30.0 0.89 (0.78–1.00) .055 36.4 .117
Not reported 0.70 (0.60–0.82) 0.0 .515
Hypertension (%) = 50.0 0.98 (0.87–1.11) .762 2.4 .407 .051
< 50.0 0.92 (0.72–1.17) .501 58.1 .026
Not reported 0.85 (0.69–1.05) .140 56.4 .076
DM (%) = 20.0 0.82 (0.71–0.93) .003 24.7 .249
< 20.0 0.83 (0.72–0.97) .017 9.2 .359
Not reported 1.13 (0.97–1.31) .127 3.9 .373
Prevention Primary 0.86 (0.74–1.00) .045 62.7 .006 .190
Secondary 0.99 (0.80–1.23) .948 21.0 .256
Follow-up (yr) = 3.0 0.86 (0.75–0.98) .022 61.3 .008 .053
< 3.0 1.07 (0.83–1.38) .588 10.2 .350
Study quality High 0.86 (0.76–0.97) .013 50.1 .020 .022
Low 1.23 (0.92–1.64) .167 0.4 .404
Stroke Sample size = 1000 1.03 (0.93–1.13) .616 32.7 .146 .861
< 1000 0.92 (0.36–2.35) .861 0.0 .736
Mean age (yr) = 60.0 1.00 (0.92–1.09) .976 10.7 .340 .171
< 60.0 1.23 (0.92–1.64) .163 0.0 .545
Male proportion (%) = 80.0 1.23 (0.91–1.64) .174 - - .183
< 80.0 1.00 (0.92–1.09) 1.000 4.7 .400
BMI (kg/m2) = 28.0 0.94 (0.84–1.05) .279 18.0 .297 .047
< 28.0 1.11 (0.97–1.27) .145 0.0 .771
Not reported 1.23 (0.95–1.59) .112 0.0 .710
Smoking (%) = 30.0 1.17 (0.92–1.48) .193 0.0 .671 .019
< 30.0 1.03 (0.95–1.12) .511 0.0 .663
Not reported 0.73 (0.56–0.94) .015 0.0 .796
Hypertension (%) = 50.0 1.08 (0.90–1.29) .436 29.6 .224 .372
< 50.0 1.07 (0.93–1.23) .322 0.0 .758
Not reported 0.94 (0.77–1.14) .512 41.4 .163
DM (%) = 20.0 1.02 (0.82–1.28) .851 62.5 .031 .354
< 20.0 1.08 (0.95–1.23) .252 0.0 .926
Not reported 0.94 (0.81–1.08) .365 0.0 .695
Prevention Primary 0.99 (0.89–1.09) .795 23.5 .234 .063
Secondary 1.19 (0.99–1.44) .065 0.0 .916
Follow-up (yr) = 3.0 1.01 (0.91–1.11) .872 31.1 .169 .226
< 3.0 1.19 (0.90–1.58) .213 0.0 .803
Study quality High 1.02 (0.93–1.12) .684 23.8 .210 .757
Low 1.08 (0.72–1.61) .719 0.0 .645

3.4. All-cause mortality

Twenty-four RCTs showed the effect of omega-3 fatty acids on the risk of all-cause mortality. No significant difference was noted between omega-3 fatty acids and control for the risks of all-cause mortality (RR, 0.97; 95% CI, 0.92–1.03; P = .301; Fig. 3). Potential significant heterogeneity was detected across included trials (I2 = 35.6%; P = .044). The pooled conclusion was robustness and was not changed when a sensitivity analysis was conducted (Supplemental Digital Content 1, http://links.lww.com/MD2/B85). Subgroup analysis suggested that omega-3 fatty acids could protect against all-cause mortality risk when the mean age of individuals was <60 years (Table 2). Moreover, the effects of omega-3 fatty acids on the risk of all-cause mortality could be affected by mean age (P = .004), smoking proportion (P = .017), and follow-up duration (P = .024). No significant publication bias was noted for all-cause mortality (P value for Egger, 0.337; P value for Begg, 0.309; Supplemental Digital Content 2, http://links.lww.com/MD2/B86).

Figure 3.

Figure 3.

Forest plot for the effects of omega-3 fatty acids on the risk of all-cause mortality.

3.5. Cardiac death

Nineteen RCTs showed the effect of omega-3 fatty acids on the risk of cardiac death. The pooled RR indicated that omega-3 fatty acids could protect against cardiac death risk (RR, 0.92; 95% CI, 0.85–0.99; P = .022; Fig. 4) and potential heterogeneity among included trials (I2 = 33.0%; P = .082). The pooled conclusion for cardiac death risk was variable owing to the marginal 95% CI (Supplemental Digital Content 1, http://links.lww.com/MD2/B85). Subgroup analysis found that the beneficial effects of omega-3 fatty acids on cardiac death were mainly observed in the groups with a sample size of ≥1,000, mean age of <60 years, a male proportion of <80%, BMI of <28 kg m−2, the smoking proportion of ≥30% or trials that did not report smoking proportion, trials that did not report hypertension proportion, DM proportion of ≥20%, follow-up duration of <3 years, and trials of high quality (Table 2). Moreover, the risk of cardiac death for the use of omega-3 fatty acids could be affected by mean age (P = .015), smoking proportion (P = .016), and follow-up duration (P = .012). Moreover, no significant publication bias for cardiac death was detected (P value for Egger, .282; P value for Begg, 0.576; Supplemental Digital Content 2, http://links.lww.com/MD2/B86).

Figure 4.

Figure 4.

Forest plot for the effects of omega-3 fatty acids on the risk of cardiac death.

3.6. Myocardial infarction

Eighteen RCTs showed the effect of omega-3 fatty acids on the risk of MI. Omega-3 fatty acids was noted to not be associated with a reduced risk of MI (RR, 0.90; 95% CI, 0.80–1.01; P = .077; Fig. 5), and significant heterogeneity was detected across included trials (I2 = 48.9%; P = .010). Sensitivity analysis indicated that the risk of MI may be reduced by sequentially excluding individual trials (Supplemental Digital Content 1, http://links.lww.com/MD2/B85). Subgroup analysis suggested that omega-3 fatty acids significantly reduced the risk of MI when the mean age was ≥60 years, the male proportion was <80%, trials on smoking proportion were not reported, DM proportion was ≥20% or <20%, omega-3 fatty acids were used as primary prevention, follow-up duration was ≥3 years, and trials were of high quality (Table 2). Moreover, smoking proportion (P = .001), DM proportion (P <.001), and study quality (P = .022) could affect the effects of omega-3 fatty acids on the risk of MI. No significant publication bias exists for the risk of MI (P value for Egger, .979; P value for Begg, .880; Supplemental Digital Content 2, http://links.lww.com/MD2/B86).

Figure 5.

Figure 5.

Forest plot for the effects of omega-3 fatty acids on the risk of myocardial infarction.

3.7. Stroke

Fifteen RCTs showed the effect of omega-3 fatty acids on the risk of stroke. No significant differences were noted between omega-3 fatty acids and control for the risk of stroke (RR, 1.02; 95% CI, 0.94–1.11; P = .694; Fig. 6). In addition, unimportant heterogeneity was seen among the included trials (I2 = 9.1%; P = .351). The pooled conclusion was robustness and was not altered by sequentially excluding individual trials (Supplemental Digital Content 1, http://links.lww.com/MD2/B85). Subgroup analysis suggested that omega-3 fatty acids could protect against stroke risk when pooled trials did not report smoking proportion (Table 2). Moreover, the effects of omega-3 fatty acids on the risk of stroke could be affected by BMI (P = .047) and smoking proportion (P = .019). No significant publication bias was detected for the risk of stroke (P value for Egger, .893; P value for Begg, .767; Supplemental Digital Content 2, http://links.lww.com/MD2/B86).

Figure 6.

Figure 6.

Forest plot for the effects of omega-3 fatty acids on the risk of stroke.

4. Discussion

An observational study initially reported the potential role of omega-3 fatty acids for in preventing the risks of major cardiovascular outcomes.[52] However, this effect lacks further intervention RCTs confirmed to date. The current study included RCTs and assessed the effects of omega-3 fatty acids on the outcomes of MACEs, all-cause mortality, cardiac death, MI, and stroke. This comprehensive, quantitative meta-analysis involved 136,965 individuals from 28 trials across a wide range of characteristics. Furthermore, this study suggested that omega-3 fatty acids could protect against the risk of MACEs and cardiac death. However, omega-3 fatty acids were not associated with the risk of all-cause mortality, MI, and stroke. The effects of omega-3 fatty acids could be affected by mean age, BMI, smoking proportion, hypertension proportion, DM proportion, follow-up duration, and study quality as found in the results of subgroup analysis.

The role of omega-3 fatty acids on major cardiovascular outcomes have already been illustrated in several systematic reviews and meta-analyses. A meta-analysis conducted by Marik et al contained 11 RCTs and found that dietary supplementation with omega-3 fatty acids could reduce the risk of nonfatal MACEs, cardiac death, sudden cardiac death, and all-cause mortality. Thus, it should be applied as a secondary prevention for major cardiovascular outcomes.[53] On the one hand, Filion et al conducted a meta-analysis of 29 RCTs and found that omega-3 fatty acids did not yield significant benefits on the risk of all-cause mortality and restenosis for patients at high cardiovascular risk.[54] On the other hand, Kwak et al performed a meta-analysis of 14 RCTs and found that the use of omega-3 fatty acids as secondary prevention did not contribute sufficient effects on MACEs for patients with CVD history.[55] Moreover, a meta-analysis conducted by Rizos et al included 20 RCTs and found that the use of omega-3 fatty acids did not yield significant benefits for cardiovascular outcomes.[56] Furthermore, Casula et al conducted a meta-analysis of 11 RCTs to assess the effects of long-term omega-3 fatty acids for the secondary prevention of major cardiovascular outcomes and found the protective role of long-term high-dose omega-3 fatty acids on the risk of cardiac death, sudden death, and MI for patients with CVD history.[57] In addition, a meta-analysis conducted by Wen et al included 14 RCTs and found that omega-3 fatty acids have no significant effect on the risk of MACEs while it could reduce the risk of all-cause mortality, cardiac death, and sudden cardiac death for patients with coronary heart disease.[58] Moreover, Aung et al conducted a meta-analysis of 10 RCTs and found that omega-3 fatty acids were not associated with the risk of fatal or nonfatal coronary heart disease or MACEs.[59] Furthermore, Popoff et al conducted a meta-analysis of 10 RCTs and found that omega-3 fatty acids did not provide significant benefits on cardiovascular health for patients after acute MI.[60] However, several new published RCTs should be included and the pooled conclusions needed to be updated. Therefore, the current systematic review and meta-analysis were conducted to assess the effects of omega-3 fatty acids on major cardiovascular outcomes.

In summary, the results suggested that omega-3 fatty acids could protect against the risk of MACEs. Most of the included trials did not find significant differences between omega-3 fatty acids and control, while four trials reported a similar conclusion.[26,33,35,50] The GISSI-Prevenzione trial found that dietary supplementation with omega-3 fatty acids could yield significant benefits on MACEs (all-cause mortality, nonfatal MI, and nonfatal stroke).[26] The Japan EPA Lipid Intervention Study trial suggested that the use of eicosapentaenoic acid should be considered as a promising strategy for the prevention of MACEs for hypercholesterolemic patients.[33] The THIS-DIET trial found active intervention with the Mediterranean-style diet and could provide significant benefits on cardiovascular health in patients after MI.[35] The REDUCE-IT trial found that the risk for MACEs was significantly reduced for patients with elevated triglyceride levels applied with 2 g of omega-3 fatty acids.[50] The potential reason for this could be that omega-3 fatty acids have antiarrhythmic effects.[61,62] Moreover, the use of omega-3 fatty acids could reduce platelet aggregation,[63,64] vasodilation,[65,66] antiproliferation,[67] plaque stabilization,[68] and reduction in lipid action.[69,70]

The use of omega-3 fatty acids was noted to prevent the risk of cardiac death. However, it has no significant effects on the risk of all-cause mortality, MI, and stroke. The protective role of omega-3 fatty acids on cardiac death could be explained by the low dose of omega-3 fatty acids that could prevent sudden cardiac death through an antiarrhythmic effect.[71] Sensitivity analysis found that omega-3 fatty acids may play a beneficial effect on the risk of all-cause mortality. This result could be explained by the high proportion of death caused by cardiac reasons. Furthermore, the use of omega-3 fatty acids did not affect the risk of MI and stroke. These results could be affected by the dose and duration of omega-3 fatty acid supplementation.

Significant heterogeneity exists for several major cardiovascular outcomes, and subgroup analysis was performed to assess the role of omega-3 fatty acids in patients with specific characteristics. Mean age, BMI, smoking proportion, hypertension proportion, DM proportion, follow-up duration, and study quality were noted to affect the effects of omega-3 fatty acids on major cardiovascular outcomes. Several reasons could explain these results. First, cardiovascular risk could be affected by the mean age of the patients, and the proportion of comorbidity across patients is different, which could affect the progression of major cardiovascular outcomes. Second, the role of omega-3 fatty acids may be more evident for patients at low cardiovascular risk, including the characteristics of BMI, smoking, hypertension, and DM proportion. (3) Third, the follow-up duration is significantly correlated with the duration of the use of omega-3 fatty acids and the events of interest outcome. (4) Lastly, the quality of the trials was related to the evidence level and the reliability of the pooled conclusions.

Several limitations of this study should be mentioned. First, the type of omega-3 fatty acids may affect the progression of major cardiovascular outcomes. Second, the treatment effect between the omega-3 fatty acids and control could be affected by the background intake of omega-3 fatty acids and other treatment strategies. Third, the definition of MACEs is different across the included trials, and the risk of MACEs for individuals using omega-3 fatty acids could be affected. Fourth, the subgroup analyses according to background therapies were not conducted because the stratified data according to the specific treatment strategy were not available. Lastly, inherent limitations exist for meta-analysis based on pooled data, including inevitable publication bias and restricted detailed analyses.

In conclusion, this study found that the use of omega-3 fatty acids could significantly reduce the risk of MACEs and cardiac death. However, no significant differences were found between omega-3 fatty acids and control for the risk of all-cause mortality, MI, and stroke. Further large-scale RCT should be conducted to assess the effects of omega-3 fatty acids on major cardiovascular outcomes. In addition, a cumulative meta-analysis should be conducted to assess the pooled effect estimates in clinical practice.

Author contributions

Conceptualization: Fangyu Yu, Shun Qi.

Data curation: Ruokui Cao, Shaohong Fang, Shun Qi, Xizhi Wang, Yanan Ji.

Formal analysis: Fangyu Yu, Yanan Ji.

Methodology: Fangyu Yu.

Project administration: Fangyu Yu.

Writing – original draft: Fangyu Yu, Ruokui Cao, Shaohong Fang, Shun Qi, Xizhi Wang, Yanan Ji.

Writing – review & editing: Ruokui Cao, Shaohong Fang, Shun Qi, Xizhi Wang.

Abbreviations:

BMI =
body mass index
CVD =
cardiovascular disease
DM =
diabetes mellitus
MACEs =
major cardiovascular events
MI =
myocardial infarction
RCTs =
randomized controlled trials
RRs =
relative risks

How to cite this article: Yu F, Qi S, Ji Y, Wang X, Fang S, Cao R. Effects of omega-3 fatty acid on major cardiovascular outcomes: a systematic review and meta-analysis. Medicine. 2022;101:30(e29556).

Funding information was not available.

The authors have no conflicts of interest to disclose.

All data generated or analyzed during this study are included in this published article [and its supplementary information files].

DM = diabetes mellitus.

BMI = body mass index, CI = confidence interval, DM = diabetes mellitus.

Contributor Information

Shun Qi, Email: qishun0001@qq.com.

Yanan Ji, Email: 1401120933@qq.com.

Xizhi Wang, Email: 315076373@qq.com.

Shaohong Fang, Email: 148132054@qq.com.

Ruokui Cao, Email: ruokui@sina.com.

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